Senior Machine Learning Engineer / Tech Lead
Volvo Business Services AB
📍 Göteborg
⏰ Heltid
📋 Vanlig anställning
🗓 Ansök senast 18 maj 2026
✦ Få fler intervjuer
Generera ett personligt brev anpassat för just den här rollen — på under en minut.
Skapa ansökan – från 49 kr Gratis att söka · Ingen registrering · Premium 49 kr/månOm jobbet
Company description:
"Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm."
Job description:
You will join the Data Science team composed of 40+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally.
You will report to a Chapter Lead Sweden.
The Machine Learning Engineer position will be located in Gothenburg and we are looking for several profiles in both Sweden and France. All positions are permanent contract in both locations.
What you will do
At Volvo Group Digital Technology & Operations (DTO), you will contribute to the transformation of our company, the transport industry and society at large.
In this role, you will lead the engineering of production-grade machine learning solutions, from understanding real business needs to industrializing, operating, and continuously improving ML and AI products at scale.
You will design, build, deploy, and operate ML and AI products with strong engineering practices, including CI/CD, monitoring, and robust model and feature management.
You will help ensure long-term performance by monitoring drift and partnering with the business to decide when and how to improve pipelines.
As a tech lead you will take leadership and responsibility of an AI product working with a team of Data Scientists, Machine Learning Engineers, and other data professionals.
Who are you? Tech:
Deep understanding of statistics, probability and machine learning – with a relevant academic degree in a quantitative field, such as mathematics, statistics, engineering, or physics.
Proven experience managing the full lifecycle of AI and ML software, including, among others, CI/CD, architecture, orchestration, quality assurance, and monitoring.
Ability to manage and industrialize applications based on advanced deep learning techniques and foundational models.
Extensive experience of programming in relevant languages and software management (Git).
Hands-on experience with cloud engineering including infrastructure, data and compute - designing and operating scalable, secure cloud environments for AI products. Experience with microservices architecture and API development is a merit.
Experience of relevant tools (non-exhaustive):
CI/CD e.g. Azure Pipelines, Github Actions
Containerization & orchestration e.g. Docker, Podman, Terraform
Product management:
Previous experience of managing and owning AI products along with industrialization and commercialization in regulated environments. Domain experience of vehicle data, diagnostics, telematics, manufacturing, or warranty analytics would be meriting.
Technical leadership experience, guiding cross-functional teams to design, build, and deliver AI products
Communication and stakeholder management:
Clear communication skills in English and preferably also in the local language, and the ability to collaborate across cultures and time zones.
Ready for the next move?
Curious, for further information about the job reach out to Johannes von Römer (johannes.von.romer@volvo.com).
Last application date: 18 May 2026.
We review applications and interview candidates on a rolling basis, so do not wait to apply.
We value your data privacy and therefore do not accept applications via mail. In some countries and specific positions, background checks may be required, in accordance with local laws and regulations. If this is applicable to the role you have applied for, you will be informed.
Volvo Group Digital Technology & Operations (DTO) is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.
Joining the new DTO division means being part of a fast-moving digital product-oriented organization where teams truly own what they build from idea to delivery. In DTO, we work in agile, cross-functional teams, mastering the latest technology, and creating outstanding digital experiences that make a real difference for our colleagues and Volvo Group customers around the world. We put people first and build our culture on trust, passion, customer success, change, and performance. If you want to grow, collaborate across functions and entities, and help shape the future of digital products within Volvo Group, DTO is a great place to be.
"Founded in 1927, the Volvo Group is committed to driving prosperity and shaping the future landscape through sustainable transport, mobility, and infrastructure solutions. By offering trucks, buses, construction equipment, power solutions for marine and industrial applications, financing and services that increase our customers’ uptime and productivity. Our headquarters are in Gothenburg, Sweden. Volvo Group shares are listed on Nasdaq Stockholm."
Job description:
You will join the Data Science team composed of 40+ Data scientists and Machine Learning Engineers. You will work in an international environment, collaborating with colleagues across disciplines to deliver end-to-end data and AI products used globally.
You will report to a Chapter Lead Sweden.
The Machine Learning Engineer position will be located in Gothenburg and we are looking for several profiles in both Sweden and France. All positions are permanent contract in both locations.
What you will do
At Volvo Group Digital Technology & Operations (DTO), you will contribute to the transformation of our company, the transport industry and society at large.
In this role, you will lead the engineering of production-grade machine learning solutions, from understanding real business needs to industrializing, operating, and continuously improving ML and AI products at scale.
You will design, build, deploy, and operate ML and AI products with strong engineering practices, including CI/CD, monitoring, and robust model and feature management.
You will help ensure long-term performance by monitoring drift and partnering with the business to decide when and how to improve pipelines.
As a tech lead you will take leadership and responsibility of an AI product working with a team of Data Scientists, Machine Learning Engineers, and other data professionals.
Who are you? Tech:
Deep understanding of statistics, probability and machine learning – with a relevant academic degree in a quantitative field, such as mathematics, statistics, engineering, or physics.
Proven experience managing the full lifecycle of AI and ML software, including, among others, CI/CD, architecture, orchestration, quality assurance, and monitoring.
Ability to manage and industrialize applications based on advanced deep learning techniques and foundational models.
Extensive experience of programming in relevant languages and software management (Git).
Hands-on experience with cloud engineering including infrastructure, data and compute - designing and operating scalable, secure cloud environments for AI products. Experience with microservices architecture and API development is a merit.
Experience of relevant tools (non-exhaustive):
CI/CD e.g. Azure Pipelines, Github Actions
Containerization & orchestration e.g. Docker, Podman, Terraform
Product management:
Previous experience of managing and owning AI products along with industrialization and commercialization in regulated environments. Domain experience of vehicle data, diagnostics, telematics, manufacturing, or warranty analytics would be meriting.
Technical leadership experience, guiding cross-functional teams to design, build, and deliver AI products
Communication and stakeholder management:
Clear communication skills in English and preferably also in the local language, and the ability to collaborate across cultures and time zones.
Ready for the next move?
Curious, for further information about the job reach out to Johannes von Römer (johannes.von.romer@volvo.com).
Last application date: 18 May 2026.
We review applications and interview candidates on a rolling basis, so do not wait to apply.
We value your data privacy and therefore do not accept applications via mail. In some countries and specific positions, background checks may be required, in accordance with local laws and regulations. If this is applicable to the role you have applied for, you will be informed.
Volvo Group Digital Technology & Operations (DTO) is a new division established to integrate the capabilities of VG Digital & IT and VG Connected Solutions to accelerate the digital transformation in Volvo Group. The organizational set up is structured around domains, digital products with functions for digital excellence to deliver outstanding customer experience.
Joining the new DTO division means being part of a fast-moving digital product-oriented organization where teams truly own what they build from idea to delivery. In DTO, we work in agile, cross-functional teams, mastering the latest technology, and creating outstanding digital experiences that make a real difference for our colleagues and Volvo Group customers around the world. We put people first and build our culture on trust, passion, customer success, change, and performance. If you want to grow, collaborate across functions and entities, and help shape the future of digital products within Volvo Group, DTO is a great place to be.