Machine Learning Engineer - AI Enablement

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally.

As a Machine Learning Engineer, you will implement the infrastructure that unlocks our scientific data and accelerates the discovery of life‑changing treatments. This role is based in Welwyn, with onsite working three days per week.

Responsibilities:

• Build tools to evaluate AI/ML model performance and develop new ways to understand and measure AI quality.
• Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
• Develop and maintain data systems for collecting, structuring, and storing diverse scientific data that power advanced analytics, machine learning, and other data‑driven initiatives.
• Implement, adopt, and evaluate new AI/ML algorithms and analytical techniques.
• Own features end to end from initial model evaluation through to production deployment, within a team that prizes technical rigor and mentorship.
• Shape how we build by contributing to architectural decisions, code reviews, and the evolution of our development processes.
• Span the stack and contribute where needed, staying curious about emerging technologies and industry best practices.

Qualifications:

• Bachelor's, Master's or PhD in Computer Science or a related technical field, with proven experience in machine learning engineering.
• Strong emphasis on testing, clean code, and documentation as foundations for scalable, high‑impact systems.
• Experience spanning the ML lifecycle—from GPU optimisation and model performance to backend systems and cloud‑native architecture (Kubernetes, AWS)—with a solid grounding in statistics, ML theory, and modern AI/ML frameworks and tools.
• Collaborative engineering mindset, valuing code reviews and architectural decisions as shared growth opportunities and translating complex technical challenges into shared goals with partners ranging from research scientists to DevOps engineers.
• Continuous learner approaching new frameworks and languages with curiosity, comfortable mentoring others as learning from them.
• Excellent communicator who translates technical complexity into clear, actionable insights with empathy and precision.

Preferred:

• Experience with biological data (ideally multimodal) and scientific processes.
• Experience working with scientists or in a research environment.
• Experience with workflow automation, GenAI, and/or agents.

At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. Roche is an equal opportunity employer and values the full spectrum of individuality in our workforce.