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- Tasks: Lead a team to build cutting-edge ML infrastructure for biotech research.
- Company: Join a pioneering biotech firm at the forefront of AI and biology.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with hands-on leadership and direct influence on groundbreaking projects.
- Why this job: Make a real impact in AI-driven biology and shape the future of healthcare.
- Qualifications: 10+ years in leadership with strong ML infrastructure and software engineering skills.
The predicted salary is between 72000 - 108000 £ per year.
You will build and lead a high-impact team responsible for large-scale training systems, data pipelines, and research platforms that support foundation model development and rapid experimentation. We’re working with a brilliant Biotech who are building AI systems at the intersection of machine learning and biology—and we’re looking for a senior engineering leader to own the infrastructure that makes research move fast.
This role is about enabling scientists: making large-scale model training simple, data access seamless, and experimentation reproducible by default. You’ll lead an elite platform team that powers foundation models trained on large, complex biological datasets (genomics, multi-omics, clinical).
What you’ll do:
- Build and scale distributed training infrastructure for large ML models
- Own data pipelines from raw biological data → ML-ready formats
- Create researcher-friendly platforms for experiments, tracking, and reproducibility
- Manage cloud + on-prem compute and keep costs under control
- Lead and grow a high-impact team of ML/platform engineers
Who you are:
- 5+ years building ML or research infrastructure
- 10 years commercial leadership experience
- Deep experience with distributed training (PyTorch, DeepSpeed, Ray, etc.)
- Strong software engineering + cloud/Kubernetes background
- Comfortable in fast-moving research environments
- Bonus: experience with scientific or biological data
This is a hands-on leadership role with real ownership and direct impact on how AI-driven biology gets done.
Location: London
Company: confidential (details shared during process)
Get in touch with the team @KEMIO Consulting to find out more or schedule a confidential discussion.
Head of MLOps and AI Infrastructure in London employer: KEMIO Consulting
Contact Detail:
KEMIO Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of MLOps and AI Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the biotech and AI fields. Attend meetups, webinars, or conferences where you can chat with industry leaders and get your name out there. Remember, it’s all about who you know!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your projects related to ML infrastructure and data pipelines. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss your experience with distributed training and cloud computing. We want to see how you can lead a team and drive innovation in fast-paced environments.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Head of MLOps and AI Infrastructure in London
Some tips for your application 🫡
Show Your Passion for AI and Biology: When writing your application, let your enthusiasm for AI and its intersection with biology shine through. We want to see how your experience aligns with our mission of enabling scientists and making research more efficient.
Highlight Relevant Experience: Make sure to emphasise your background in building ML infrastructure and managing teams. We’re looking for someone with a strong track record, so don’t hold back on showcasing your achievements in distributed training and cloud computing.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re the perfect fit for this hands-on leadership role.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity to lead a high-impact team.
How to prepare for a job interview at KEMIO Consulting
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like PyTorch, DeepSpeed, and Kubernetes. Brush up on your knowledge of distributed training and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Leadership Skills
As this role involves leading a high-impact team, prepare examples that highlight your leadership experience. Think about times when you’ve successfully managed teams, driven projects, or fostered collaboration in fast-paced environments.
✨Understand the Biotech Landscape
Familiarise yourself with the intersection of AI and biology. Be prepared to discuss how large-scale model training can impact research in biotech and how you can contribute to making data access seamless for scientists.
✨Prepare Questions That Matter
Have insightful questions ready for your interviewers. Ask about their current challenges in ML infrastructure or how they envision the future of AI in their research. This shows your genuine interest and helps you gauge if the company is the right fit for you.