Lediga jobb som Ingenjör inom data/elektronik hos Friday Väst AB

• Nyexad AI-ingenjör till Fordonsindustrin!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 30 september (1 månad och 7 dagar kvar)

  Publicerad: 2026-08-17

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Har du en civilingenjörsutbildning inom data och ett extra intresse för AI? Nu söker vi dig som är i starten av din karriär och vill bli en del av ett AI-team inom fordonsindustrin. Här får du möjlighet att arbeta i ett utvecklade team i komplexa miljöer!

  OM TJÄNSTEN:

  Du kommer att arbeta i en arbetsgrupp via ett konsultbolag som arbetar med sammansatta konsultteam, med uppdrag uteslutande för en större aktör inom fordonsindustrin. Teamet arbetar med hela fordonet i åtanke, med särskilt fokus på ADAS-system och utveckling av AI-agenter inom organisationen. Vi söker en nyutexaminerad kandidat med AI-relaterad utbildning.

  VI SÖKER DIG SOM: 

  Vi tar inte emot ansökningar från yrkeshögskola då kunden har krav på universitetsutbildning (MSc).

  • Har en civilingenjörsexamen inom datavetenskap, teknisk fysik, eller liknande och har läst mycket AI.
  • Har goda kunskaper i Python.
  • Har grundförståelse för AI-agenter.
  • Kommunicerar obehindrat på engelska då detta används i det dagliga arbetet.

  Det är meriterande om du har kännedom kring:

  • ADAS.
  • Deltagit i projekt under studierna som berör AI.
  • Arbetat vid sidan av studierna inom AI och/eller ADAS.

  Vi lägger stor vikt vid personliga egenskaper. Vår kund söker en engagerad och kommunikativ individ med ett strukturerat arbetssätt. Du är handlingskraftig, tar ansvar, driver projekt framåt och trivs i team där samarbete är centralt. Ett analytiskt och problemlösande tänkesätt, noggrannhet och initiativförmåga är viktiga kvaliteter, liksom förmågan att samarbeta med olika intressenter!

  OM ANSTÄLLNINGEN: 

  Detta är ett konsultuppdrag vilket innebär att du kommer att vara anställd av Friday.

  ÖVRIG INFO:

  • Omfattning: Heltid
  • Start: Juni 2026 alt enligt överenskommelse.
  • Placering: Göteborg
  • Kontaktuppgifter: Tuva Sandberg
  • Lön: Fast månadslön

  OM FRIDAY: 

  På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet.

  Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas.

  Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.

  Arbetsgivare

  Friday Väst AB
  kungsportsavenyen 10
  41136 Göteborg

  Ansökan

  Ansök senast 30 september (1 månad och 7 dagar kvar)

  Ansök här

  Visa mer

• Nyexad AI-ingenjör till Fordonsindustrin!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 30 september (1 månad och 7 dagar kvar)

  Publicerad: 2026-08-17

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Har du en civilingenjörsutbildning inom data och ett extra intresse för AI? Nu söker vi dig som är i starten av din karriär och vill bli en del av ett AI-team inom fordonsindustrin. Här får du möjlighet att arbeta i ett utvecklade team i komplexa miljöer!

  OM TJÄNSTEN:

  Du kommer att arbeta i en arbetsgrupp via ett konsultbolag som arbetar med sammansatta konsultteam, med uppdrag uteslutande för en större aktör inom fordonsindustrin. Teamet arbetar med hela fordonet i åtanke, med särskilt fokus på ADAS-system och utveckling av AI-agenter inom organisationen. Vi söker en nyutexaminerad kandidat med AI-relaterad utbildning.

  VI SÖKER DIG SOM: 

  Vi tar inte emot ansökningar från yrkeshögskola då kunden har krav på universitetsutbildning (MSc).

  • Har en civilingenjörsexamen inom datavetenskap, teknisk fysik, eller liknande och har läst mycket AI.
  • Har goda kunskaper i Python.
  • Har grundförståelse för AI-agenter.
  • Kommunicerar obehindrat på engelska då detta används i det dagliga arbetet.

  Det är meriterande om du har kännedom kring:

  • ADAS.
  • Deltagit i projekt under studierna som berör AI.
  • Arbetat vid sidan av studierna inom AI och/eller ADAS.

  Vi lägger stor vikt vid personliga egenskaper. Vår kund söker en engagerad och kommunikativ individ med ett strukturerat arbetssätt. Du är handlingskraftig, tar ansvar, driver projekt framåt och trivs i team där samarbete är centralt. Ett analytiskt och problemlösande tänkesätt, noggrannhet och initiativförmåga är viktiga kvaliteter, liksom förmågan att samarbeta med olika intressenter!

  OM ANSTÄLLNINGEN: 

  Detta är ett konsultuppdrag vilket innebär att du kommer att vara anställd av Friday.

  ÖVRIG INFO:

  • Omfattning: Heltid
  • Start: Juni 2026 alt enligt överenskommelse.
  • Placering: Göteborg
  • Kontaktuppgifter: Tuva Sandberg
  • Lön: Fast månadslön

  OM FRIDAY: 

  På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet.

  Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas.

  Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.

  Arbetsgivare

  Friday Väst AB
  kungsportsavenyen 10
  41136 Göteborg

  Ansökan

  Ansök senast 30 september (1 månad och 7 dagar kvar)

  Ansök här

  Visa mer

• Nyexad AI-ingenjör till Fordonsindustrin!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 30 september (1 månad och 7 dagar kvar)

  Publicerad: 2026-08-17

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Har du en civilingenjörsutbildning inom data och ett extra intresse för AI? Nu söker vi dig som är i starten av din karriär och vill bli en del av ett AI-team inom fordonsindustrin. Här får du möjlighet att arbeta i ett utvecklade team i komplexa miljöer!

  OM TJÄNSTEN:

  Du kommer att arbeta i en arbetsgrupp via ett konsultbolag som arbetar med sammansatta konsultteam, med uppdrag uteslutande för en större aktör inom fordonsindustrin. Teamet arbetar med hela fordonet i åtanke, med särskilt fokus på ADAS-system och utveckling av AI-agenter inom organisationen. Vi söker en nyutexaminerad kandidat med AI-relaterad utbildning.

  VI SÖKER DIG SOM: 

  Vi tar inte emot ansökningar från yrkeshögskola då kunden har krav på universitetsutbildning (MSc).

  • Har en civilingenjörsexamen inom datavetenskap, teknisk fysik, eller liknande och har läst mycket AI.
  • Har goda kunskaper i Python.
  • Har grundförståelse för AI-agenter.
  • Kommunicerar obehindrat på engelska då detta används i det dagliga arbetet.

  Det är meriterande om du har kännedom kring:

  • ADAS.
  • Deltagit i projekt under studierna som berör AI.
  • Arbetat vid sidan av studierna inom AI och/eller ADAS.

  Vi lägger stor vikt vid personliga egenskaper. Vår kund söker en engagerad och kommunikativ individ med ett strukturerat arbetssätt. Du är handlingskraftig, tar ansvar, driver projekt framåt och trivs i team där samarbete är centralt. Ett analytiskt och problemlösande tänkesätt, noggrannhet och initiativförmåga är viktiga kvaliteter, liksom förmågan att samarbeta med olika intressenter!

  OM ANSTÄLLNINGEN: 

  Detta är ett konsultuppdrag vilket innebär att du kommer att vara anställd av Friday.

  ÖVRIG INFO:

  • Omfattning: Heltid
  • Start: Juni 2026 alt enligt överenskommelse.
  • Placering: Göteborg
  • Kontaktuppgifter: Tuva Sandberg
  • Lön: Fast månadslön

  OM FRIDAY: 

  På Friday brinner vi för att ge dig som Tech-talang en riktigt bra start på karriären. Genom att lyssna på vad just du vill och drivs av, matchar vi dig med företag och möjligheter som får dig att se fram emot att gå till jobbet.

  Vi värderar ambition och potential högt och arbetar aktivt för en fördomsfri rekrytering, där alla ges samma chans att lyckas.

  Vi finns i Stockholm, Göteborg, Malmö, Linköping och Örebro. Varje år genomför vi över 5 000 karriärmöten och matchar kandidater med allt från globala företag till innovativa startups.

  Arbetsgivare

  Friday Väst AB
  kungsportsavenyen 10
  41136 Göteborg

  Ansökan

  Ansök senast 30 september (1 månad och 7 dagar kvar)

  Ansök här

  Visa mer

• Machine Learning Engineer to SaaS-company!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Publicerad: 2026-08-21

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

  ABOUT THE POSITION

  Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

  As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

  You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

  RESPONSIBILITIES:

  • Design and develop ML models for forecasting, ranking and recommendation systems.
  • Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
  • Work closely with product teams to determine how model outputs should be integrated and used within the product.
  • Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
  • Troubleshoot issues across both data pipelines and deployed ML models.
  • Develop high-quality, maintainable code in line with established coding practices and conventions.

  WE ARE LOOKING FOR SOMEONE WHO:

  • Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
  • Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
  • Has strong hands-on experience with Databricks as well as Python and SQL.
  • Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
  • Is familiar with modern software development and delivery practices.
  • Has experience working in a cloud environment such as Azure, AWS or GCP.

  It is not required, but considered a plus if you have:

  • Experience with additional cloud-based data or ML technologies.
  • Experience contributing to the architecture and development of data platforms.

  As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

  ABOUT THE EMPLOYMENT

  This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

  • Start date: As soon as possible, but considering the notice period.
  • Location: Gothenburg.
  • Salary: Fixed monthly.
  • Employment type: Full-time / Part-time

  ABOUT FRIDAY

  By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

  Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

  We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

  We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

  Arbetsgivare

  Friday Väst AB
  Kungsportsavenyn 10
  41136 Göteborg

  Ansökan

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Ansök här

  Visa mer

• Machine Learning Engineer to SaaS-company!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Publicerad: 2026-08-21

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

  ABOUT THE POSITION

  Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

  As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

  You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

  RESPONSIBILITIES:

  • Design and develop ML models for forecasting, ranking and recommendation systems.
  • Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
  • Work closely with product teams to determine how model outputs should be integrated and used within the product.
  • Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
  • Troubleshoot issues across both data pipelines and deployed ML models.
  • Develop high-quality, maintainable code in line with established coding practices and conventions.

  WE ARE LOOKING FOR SOMEONE WHO:

  • Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
  • Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
  • Has strong hands-on experience with Databricks as well as Python and SQL.
  • Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
  • Is familiar with modern software development and delivery practices.
  • Has experience working in a cloud environment such as Azure, AWS or GCP.

  It is not required, but considered a plus if you have:

  • Experience with additional cloud-based data or ML technologies.
  • Experience contributing to the architecture and development of data platforms.

  As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

  ABOUT THE EMPLOYMENT

  This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

  • Start date: As soon as possible, but considering the notice period.
  • Location: Gothenburg.
  • Salary: Fixed monthly.
  • Employment type: Full-time / Part-time

  ABOUT FRIDAY

  By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

  Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

  We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

  We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

  Arbetsgivare

  Friday Väst AB
  Kungsportsavenyn 10
  41136 Göteborg

  Ansökan

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Ansök här

  Visa mer

• Machine Learning Engineer to SaaS-company!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Publicerad: 2026-08-21

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

  ABOUT THE POSITION

  Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

  As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

  You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

  RESPONSIBILITIES:

  • Design and develop ML models for forecasting, ranking and recommendation systems.
  • Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
  • Work closely with product teams to determine how model outputs should be integrated and used within the product.
  • Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
  • Troubleshoot issues across both data pipelines and deployed ML models.
  • Develop high-quality, maintainable code in line with established coding practices and conventions.

  WE ARE LOOKING FOR SOMEONE WHO:

  • Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
  • Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
  • Has strong hands-on experience with Databricks as well as Python and SQL.
  • Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
  • Is familiar with modern software development and delivery practices.
  • Has experience working in a cloud environment such as Azure, AWS or GCP.

  It is not required, but considered a plus if you have:

  • Experience with additional cloud-based data or ML technologies.
  • Experience contributing to the architecture and development of data platforms.

  As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

  ABOUT THE EMPLOYMENT

  This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

  • Start date: As soon as possible, but considering the notice period.
  • Location: Gothenburg.
  • Salary: Fixed monthly.
  • Employment type: Full-time / Part-time

  ABOUT FRIDAY

  By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

  Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

  We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

  We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

  Arbetsgivare

  Friday Väst AB
  Kungsportsavenyn 10
  41136 Göteborg

  Ansökan

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Ansök här

  Visa mer

• Machine Learning Engineer to SaaS-company!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Publicerad: 2026-08-21

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

  ABOUT THE POSITION

  Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

  As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

  You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

  RESPONSIBILITIES:

  • Design and develop ML models for forecasting, ranking and recommendation systems.
  • Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
  • Work closely with product teams to determine how model outputs should be integrated and used within the product.
  • Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
  • Troubleshoot issues across both data pipelines and deployed ML models.
  • Develop high-quality, maintainable code in line with established coding practices and conventions.

  WE ARE LOOKING FOR SOMEONE WHO:

  • Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
  • Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
  • Has strong hands-on experience with Databricks as well as Python and SQL.
  • Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
  • Is familiar with modern software development and delivery practices.
  • Has experience working in a cloud environment such as Azure, AWS or GCP.

  It is not required, but considered a plus if you have:

  • Experience with additional cloud-based data or ML technologies.
  • Experience contributing to the architecture and development of data platforms.

  As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

  ABOUT THE EMPLOYMENT

  This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

  • Start date: As soon as possible, but considering the notice period.
  • Location: Gothenburg.
  • Salary: Fixed monthly.
  • Employment type: Full-time / Part-time

  ABOUT FRIDAY

  By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

  Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

  We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

  We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

  Arbetsgivare

  Friday Väst AB
  Kungsportsavenyn 10
  41136 Göteborg

  Ansökan

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Ansök här

  Visa mer

• Machine Learning Engineer to SaaS-company!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Publicerad: 2026-08-21

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

  ABOUT THE POSITION

  Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

  As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

  You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

  RESPONSIBILITIES:

  • Design and develop ML models for forecasting, ranking and recommendation systems.
  • Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
  • Work closely with product teams to determine how model outputs should be integrated and used within the product.
  • Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
  • Troubleshoot issues across both data pipelines and deployed ML models.
  • Develop high-quality, maintainable code in line with established coding practices and conventions.

  WE ARE LOOKING FOR SOMEONE WHO:

  • Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
  • Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
  • Has strong hands-on experience with Databricks as well as Python and SQL.
  • Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
  • Is familiar with modern software development and delivery practices.
  • Has experience working in a cloud environment such as Azure, AWS or GCP.

  It is not required, but considered a plus if you have:

  • Experience with additional cloud-based data or ML technologies.
  • Experience contributing to the architecture and development of data platforms.

  As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

  ABOUT THE EMPLOYMENT

  This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

  • Start date: As soon as possible, but considering the notice period.
  • Location: Gothenburg.
  • Salary: Fixed monthly.
  • Employment type: Full-time / Part-time

  ABOUT FRIDAY

  By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

  Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

  We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

  We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

  Arbetsgivare

  Friday Väst AB
  Kungsportsavenyn 10
  41136 Göteborg

  Ansökan

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Ansök här

  Visa mer

• Machine Learning Engineer to SaaS-company!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Publicerad: 2026-08-21

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

  ABOUT THE POSITION

  Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

  As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

  You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

  RESPONSIBILITIES:

  • Design and develop ML models for forecasting, ranking and recommendation systems.
  • Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
  • Work closely with product teams to determine how model outputs should be integrated and used within the product.
  • Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
  • Troubleshoot issues across both data pipelines and deployed ML models.
  • Develop high-quality, maintainable code in line with established coding practices and conventions.

  WE ARE LOOKING FOR SOMEONE WHO:

  • Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
  • Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
  • Has strong hands-on experience with Databricks as well as Python and SQL.
  • Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
  • Is familiar with modern software development and delivery practices.
  • Has experience working in a cloud environment such as Azure, AWS or GCP.

  It is not required, but considered a plus if you have:

  • Experience with additional cloud-based data or ML technologies.
  • Experience contributing to the architecture and development of data platforms.

  As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

  ABOUT THE EMPLOYMENT

  This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

  • Start date: As soon as possible, but considering the notice period.
  • Location: Gothenburg.
  • Salary: Fixed monthly.
  • Employment type: Full-time / Part-time

  ABOUT FRIDAY

  By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

  Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

  We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

  We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

  Arbetsgivare

  Friday Väst AB
  Kungsportsavenyn 10
  41136 Göteborg

  Ansökan

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Ansök här

  Visa mer

• Machine Learning Engineer to SaaS-company!

  Arbetsgivare / Ort:Friday Väst AB / Göteborg

  Omfattning / Varaktighet:Vanlig anställning / Tills vidare

  Lönetyp: Fast månads- vecko- eller timlön

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Publicerad: 2026-08-21

  Källa: Arbetsförmedlingen

  Ansök här

  Om jobbet

  Are you an ML Engineer with hands-on experience taking machine learning models from development all the way into production? Do you also have a strong foundation in data engineering and enjoy working independently in a collaborative team? Then this could be your next opportunity!

  ABOUT THE POSITION

  Friday is now looking for an ML Engineer with Data Engineering competence who wants to join a growing data product team. Over the past two years, the team has built a modern data platform with a strong focus on Databricks. The focus is now shifting towards building an intelligence layer that will enable advanced solutions such as forecasting, ranking, and recommendation systems.

  As an ML Engineer, your main focus will be applied machine learning. You will take ownership of models throughout their entire lifecycle, from development and deployment to monitoring and maintenance in production. At the same time, you will contribute to the underlying data platform when needed, making this a role where both your ML and data engineering skills will come into play.

  You’ll be part of a smaller, collaborative team consisting of Data Engineers, a Product Manager and an Engineering Manager. The team places great value on inclusiveness, psychological safety and different perspectives. The role offers a high level of ownership, giving you the opportunity to work proactively, contribute your own ideas and have a real impact on how the team's work develops.

  RESPONSIBILITIES:

  • Design and develop ML models for forecasting, ranking and recommendation systems.
  • Take full ownership of the model lifecycle, from development and deployment to monitoring and maintenance in production.
  • Work closely with product teams to determine how model outputs should be integrated and used within the product.
  • Contribute to the data platform, including data ingestion pipelines, observability and platform maintenance.
  • Troubleshoot issues across both data pipelines and deployed ML models.
  • Develop high-quality, maintainable code in line with established coding practices and conventions.

  WE ARE LOOKING FOR SOMEONE WHO:

  • Has 1–2 years of hands-on, end-to-end ML experience, including taking models into production.
  • Has 3+ years of experience in data engineering or data-related software engineering in a cloud environment.
  • Has strong hands-on experience with Databricks as well as Python and SQL.
  • Has a solid understanding of data platform fundamentals, including data ingestion, observability and maintenance.
  • Is familiar with modern software development and delivery practices.
  • Has experience working in a cloud environment such as Azure, AWS or GCP.

  It is not required, but considered a plus if you have:

  • Experience with additional cloud-based data or ML technologies.
  • Experience contributing to the architecture and development of data platforms.

  As a person, we believe you are proactive, self-driven and solution-oriented. You enjoy taking ownership of your work and are comfortable navigating complex technical challenges independently. At the same time, you are a team player who enjoys sharing ideas, collaborating with others and contributing to a positive team environment.

  ABOUT THE EMPLOYMENT

  This is a consulting assignment, which means that you will initially be employed by Friday. The ambition from both the customer and Friday is for you to transition into direct employment with the customer.

  • Start date: As soon as possible, but considering the notice period.
  • Location: Gothenburg.
  • Salary: Fixed monthly.
  • Employment type: Full-time / Part-time

  ABOUT FRIDAY

  By being a partner to both our candidates and clients, we strive to find the best possible match. We do this by truly getting to know both our clients and candidates. Naturally, we make sure that skills and experience requirements align, but above all, we place great importance on shared values and a company culture that both parties appreciate.

  Our passion is helping people find the right role, workplace and professional environment within IT and technology. That is why we founded Friday, with the ambition of helping you find a job that gives you that Friday feeling – every day!

  We primarily focus on people who are at the beginning of their careers or are currently studying IT or engineering at a university or college.

  We believe that people reach their full potential when they look forward to going to work every morning. “Friday – everyday” – how does that sound?

  Arbetsgivare

  Friday Väst AB
  Kungsportsavenyn 10
  41136 Göteborg

  Ansökan

  Ansök senast 26 oktober (2 månader och 3 dagar kvar)

  Ansök här

  Visa mer

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