Senior Machine Learning Engineer in Hatfield

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. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life‑changing treatments for patients.

• Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems.
• Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality.
• Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications.
• Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data‑driven initiatives.
• Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques.
• Contribute to architectural decisions, code reviews, and the evolution of our development processes.
• Be willing to span the stack and contribute where needed, even outside of your core area of expertise.
• Stay up‑to‑date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity.

Who You Are:

• Master’s or Ph.D. in Computer Science or similar technical field, or equivalent experience.
• Established professional experience in machine learning engineering roles.
• Strong proficiency with AI/ML frameworks, libraries, and toolsets.
• Expert knowledge of statistics, machine learning theory, and algorithms.
• Strong knowledge of ML performance optimization, GPU best practices.
• Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud‑native architectures in public clouds (ideally AWS).
• Proven understanding and application of engineering best practices.
• Excellent communication skills and ability to build trusted partnerships with internal and external collaborators.
• Ability to quickly acquire new technologies and programming languages and a passion for continuous learning.

Preferred But Not Required:

• Experience with imaging or biological data and processes is a strong plus.
• Experience working with scientists or in a research environment is advantageous.
• Experience with workflow automation, GenAI, and/or agents is a plus.

Additional Information

• This position requires onsite work 3 days per week.
• No relocation support.

Equal Opportunity Employer. The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. 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 recognize the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.