Senior Machine Learning Engineer - AI Enablement

F. Hoffmann-La Roche AG; Welwyn; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Roche Products Ltd. in Welwyn seeks a Senior Machine Learning Engineer to build and own scalable AI/ML systems and data infrastructure that empower scientists in drug discovery.

You’ll work across a cross-functional team of researchers, AI/ML experts, and DevOps to deliver robust scientific solutions onsite three days per week.

Qualifications

• Master's or PhD in Computer Science or a closely related technical field.
• Proven professional experience in machine learning engineering with scalable systems.
• Strong knowledge of statistics, ML theory, and algorithms.

Responsibilities

• Design, build, and continuously improve AI/ML systems and data infra.
• Develop robust front- and back-end AI/ML tools for researchers.
• Evaluate model performance and implement quality metrics.
• Collaborate with scientists, product managers, and DevOps for scalable solutions.
• Contribute to architecture decisions and code quality practices.

Skills

ML engineering

Statistics

Algorithms

GPU optimization

Kubernetes

AWS

Data lakes

Python

TensorFlow

PyTorch

Education

Master's or PhD in CS or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job description

The Position

The Engineering - AI Enablement group, within Roche's Computational Sciences Center of Excellence, exists to make AI/ML an everyday utility for the scientists driving drug discovery. As a Senior Machine Learning Engineer, you will build, own, and continuously improve the scalable AI/ML systems, applications, and data infrastructure that unlock the potential of our diverse scientific data, accelerating the discovery and development of life-changing treatments. You will work across a cross-functional ecosystem of computational and research scientists, AI/ML experts, product leaders, and DevOps engineers, spanning the stack to deliver high-impact scientific solutions. This role is based in Welwyn, with onsite working three days per week. Relocation support is not available.

The Opportunity

You design, develop, and test robust, scalable, and maintainable AI/ML-facing scientific web applications and backend systems. You build tools to evaluate AI/ML model performance and establish new ways to understand and measure AI quality. You partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications and robust architectures. You develop and maintain data systems for collecting, structuring, and storing diverse scientific data that powers advanced analytics, machine learning, and other data-driven initiatives. You implement, adopt, and evaluate new AI/ML algorithms and analytical techniques. You shape how we build contributing to architectural decisions, code reviews, and the evolution of our development processes and tech stack. You span the stack building, owning, and continuously improving systems, and contributing where needed beyond your core area of expertise.

Who you are

You bring a strong technical foundation with a Master's or PhD in Computer Science or a related technical field (or equivalent experience) and established professional experience in machine learning engineering. You have deep ML expertise with expert knowledge of statistics, machine learning theory, and algorithms, and strong proficiency across AI/ML frameworks, libraries, and tools. You optimise for performance and scale with strong knowledge of ML performance optimization and GPU best practices, and hands-on experience of Kubernetes, relational and NoSQL databases or data lakes, and cloud-native architectures in public clouds (ideally AWS). You practise engineering excellence applying proven engineering best practices and building trusted partnerships with internal and external collaborators. You are an excellent communicator and continuous learner who quickly acquires new technologies and languages, and communicates with clarity across scientific, engineering, and product disciplines.

Preferred

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

If you want to build the systems that make AI an everyday utility for scientists, and help bring life-changing medicines to patients faster,

Who we are

A healthier future drives us to innovate. Together, more than 100'000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact. Let's build a healthier future, together.

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 recognise 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. We believe it's urgent to deliver medical solutions right now – even as we develop innovations for the future. We are passionate about transforming patients’ lives. We are courageous in both decision and action. And we believe that good business means a better world. That is why we come to work each day. We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all. We do this today to build a better tomorrow. We are proud of who we are, what we do, and how we do it. We are many, working as one across functions, across companies, and across the world. We are Roche.