At a Glance
- Tasks: Design and develop scalable AI/ML systems to transform scientific data into life-changing treatments.
- Company: Join Roche, a leader in innovation and diversity in the healthcare sector.
- Benefits: Competitive salary, flexible working, and opportunities for continuous learning.
- Other info: Collaborative environment with excellent career growth and a commitment to diversity.
- Why this job: Make a real impact in healthcare by leveraging cutting-edge AI technologies.
- Qualifications: Master’s or Ph.D. in Computer Science with strong machine learning experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
Responsibilities include:
- 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.
This position requires onsite work 3 days per week. No relocation support.
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.
Senior Machine Learning Engineer employer: F. Hoffmann-La Roche Gruppe
F. Hoffmann-La Roche Gruppe is an exceptional employer, offering a dynamic and inclusive work culture in Welwyn Hatfield that fosters innovation and collaboration among talented professionals. Employees benefit from opportunities for personal and professional growth, working at the forefront of AI/ML technology to make meaningful contributions to scientific advancements. With a commitment to employee well-being and a supportive environment, Roche stands out as a rewarding place to build a career in the life sciences sector.
Contact Details:
F. Hoffmann-La Roche Gruppe Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI/ML field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a job that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those that demonstrate your ability to build scalable systems. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical team members.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your machine learning projects, especially those involving AI/ML frameworks and tools, to show us you’re the right fit!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about machine learning and how your background aligns with our mission. Share specific examples of your work with diverse scientific data or collaboration with product managers and scientists.
Showcase Your Continuous Learning:We love candidates who are curious and eager to learn! Mention any recent courses, certifications, or technologies you've explored that relate to AI/ML. This shows us you're committed to staying up-to-date in this fast-paced field.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at F. Hoffmann-La Roche Gruppe
✨Know Your Stuff
Make sure you brush up on your machine learning frameworks and algorithms. Be ready to discuss your experience with AI/ML tools and how you've applied them in past projects. This is your chance to showcase your technical expertise!
✨Understand the Role
Dive deep into the job description and understand what the company is looking for. Be prepared to explain how your skills align with their needs, especially around building scalable systems and collaborating with cross-functional teams.
✨Showcase Your Communication Skills
Since you'll be working with scientists and product managers, it's crucial to demonstrate your ability to communicate complex ideas clearly. Practice explaining your past projects in a way that anyone can understand, regardless of their technical background.
✨Stay Curious and Up-to-Date
The field of AI/ML is always evolving, so show your passion for continuous learning. Mention any recent technologies or trends you've explored, and be ready to discuss how you would implement new techniques in your work.
