Job Description:
Machine Learning Lead
Ready to shape the future of AI? ESAB is now looking for a Machine Learning Engineer to join our newly established AI R&D team — a unique opportunity to be part of something from the very beginning. You’ll help define how we work, influence the technical direction, and collaborate with top experts to build intelligent solutions that make a difference across the entire organization. Are you ready to be part of this journey? Apply now!
Job description:
As a Machine Learning Engineer, you’ll play a key role in building scalable ML solutions that drive impact across product development, operations, finance, and services. You’ll work hands-on with cutting-edge technologies, collaborate with cross-functional teams, and lead initiatives that bring AI from concept to production. You’ll report to the AI R&D Leader and work closely with solution architects, process automation engineers, external consultants, and business teams.
Your responsibilities will include:
• Designing and maintaining end-to-end ML pipelines — from data ingestion and preprocessing to model training, deployment, and monitoring.
• Fine-tuning LLMs and other models for ESAB-specific use cases.
• Ensuring infrastructure scalability and security in close collaboration with IT and Digital Solutions.
• Leading workshops with business stakeholders to identify high-value ML opportunities.
• Translating business needs into structured ML problem statements with clear ROI.
• Working with solution architects to embed ML models into business applications.
• Acting as an internal ambassador for ML, promoting best practices and raising awareness.
What you'll need to succeed:
We’re looking for a Machine Learning Lead with at least 7+ years of relevant work experience, who combines solid technical skills with a strong understanding of how AI and machine learning can create business value. You have a proactive, self-driven mindset — you take initiative, work independently, and thrive in dynamic environments.
Ideally you have:
• M.Sc. Computer Science, Data Engineering, or a related field.
• Hands-on experience working with machine learning frameworks and tools and cloud platforms.
• Familiarity with how AI systems are designed, trained, and refined — including working with various types of input data.
• Experience building APIs for ML model integration into business applications.
• Comfortable working with data throughout its lifecycle — from collection and preparation to analysis and modeling.
• Experience integrating ML solutions into business applications or workflows.
• Ability to lead conversations with stakeholders and translate business needs into AI-driven solutions.
• Strong communication skills — you can explain technical concepts clearly and tell compelling stories with data.
About ESAB:
ESAB is a global leader in welding and cutting technology, with over 100 years of experience in innovation and technical development. Founded in 1904 in Gothenburg, the company now operates in more than 150 countries. ESAB offers a wide range of products and solutions for manual and automated welding, filler materials, and industrial cutting equipment. With a strong presence in Sweden — including manufacturing facilities in Perstorp and Laxå — ESAB combines global reach with local expertise, maintaining a clear focus on quality, safety, and sustainability.