At a Glance
- Tasks: Lead a high-performing ML team to develop groundbreaking models for drug discovery.
- Company: AI-native biotech startup transforming medicine with cutting-edge technology.
- Benefits: Competitive salary, significant equity, and access to advanced resources.
- Other info: Join a collaborative culture focused on scientific curiosity and growth.
- Why this job: Make a real impact on human health while leading innovative AI projects.
- Qualifications: Proven experience in ML leadership and deep learning systems.
The predicted salary is between 145000 - 145000 £ per year.
We’re an AI-native biotech company building foundation models for biology to transform how new medicines are discovered. By combining large-scale multimodal biological datasets with probabilistic machine learning and generative AI, we’re developing systems capable of predicting complex biological behaviour at unprecedented scale. Our mission is to create general-purpose biological intelligence that accelerates therapeutic discovery across oncology, immunology, and rare diseases. Backed by top-tier investors and leading scientific advisors, we’ve recently secured major funding to expand our ML platform and research capabilities globally.
We’re looking for a Machine Learning Team Lead to lead a high-performing team working on foundation models and probabilistic ML systems for drug discovery. You’ll sit at the intersection of research and engineering - driving technical direction, mentoring senior engineers and researchers, and helping scale both our platform and team as we push toward state-of-the-art biological modelling. This is a hands-on leadership role for someone excited by frontier AI, scientific impact, and building exceptional ML organisations.
What You’ll Be Doing
- Leading a team of ML engineers and applied researchers building large-scale foundation models for biological data
- Defining technical strategy across probabilistic modelling, representation learning, and generative AI systems
- Architecting scalable distributed training infrastructure for multi-billion parameter models
- Driving productionisation of research systems into robust internal discovery platforms
- Collaborating with computational biologists, cheminformaticians, and leadership on long-term research initiatives
- Establishing engineering standards, experimentation workflows, and model evaluation practices
- Mentoring and growing a world-class ML engineering team
- Helping shape hiring strategy and technical roadmap as the company scales
What We’re Looking For
- Proven experience leading ML engineering or applied research teams
- Strong background building and scaling deep learning systems in production
- Deep understanding of foundation model architectures and modern generative AI techniques
- Experience with probabilistic ML approaches such as Bayesian inference, latent variable models, or uncertainty-aware systems
- Strong software engineering and distributed systems experience
- Ability to balance research innovation with engineering execution
- Excellent communication and stakeholder management skills
Nice to Have
- Experience in biotech, computational biology, or AI for science
- Familiarity with molecular modelling, protein representation learning, or biological datasets
- Publications or contributions in advanced ML research
- Experience scaling ML organisations in startup environments
Why Join?
- Lead one of the most technically ambitious AI teams in biotech
- Work on frontier AI problems with direct impact on human health
- Significant ownership, autonomy, and influence over technical direction
- Competitive compensation and meaningful equity package
- Access to cutting-edge compute infrastructure and proprietary datasets
- Collaborative culture built around scientific curiosity and engineering excellence
Please apply directly through this job advert.
Lead Machine Learning Engineer employer: UK CPC
Join an innovative AI-native biotech company at the forefront of drug discovery, where you'll lead a high-performing team in developing groundbreaking foundation models and probabilistic AI systems. With a collaborative culture that fosters scientific curiosity and engineering excellence, you will enjoy significant ownership and autonomy over your work, competitive compensation, and access to cutting-edge resources. This is an exceptional opportunity to make a meaningful impact on human health while advancing your career in a rapidly growing field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to foundation models and probabilistic AI. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your leadership style and how you've driven teams towards success in previous roles. Practice makes perfect!
✨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 mission to transform drug discovery.
We think you need these skills to ace Lead Machine Learning Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your experience in leading ML engineering teams and working with foundation models. We want to see how your background aligns with our mission in AI drug discovery!
Showcase Your Projects:Include specific projects that demonstrate your expertise in deep learning systems and probabilistic ML approaches. We love seeing real-world applications of your skills, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter should reflect your passion for frontier AI and its impact on human health. Let us know why you’re excited about this role and how you can contribute to our team’s success.
Apply Through Our Website:Don’t forget to apply directly through our job advert! This helps us keep track of your application and ensures it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at UK CPC
✨Know Your Stuff
Make sure you’re well-versed in foundation models and probabilistic AI techniques. Brush up on your knowledge of Bayesian inference and generative AI systems, as these are key areas for the role. Being able to discuss your experience with deep learning systems and how you've scaled them in production will definitely impress.
✨Showcase Leadership Skills
Since this is a team lead position, be prepared to talk about your leadership style and experiences. Share specific examples of how you've mentored engineers or researchers in the past. Highlight your ability to balance innovation with execution, as this is crucial for driving technical direction.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice articulating complex ideas simply and clearly. Be ready to discuss how you’ve managed stakeholders and collaborated with cross-functional teams, especially with computational biologists and cheminformaticians.
✨Align with Their Mission
Understand the company’s mission to transform drug discovery through AI. Be prepared to discuss how your background and interests align with their goals in oncology, immunology, and rare diseases. Showing genuine enthusiasm for their work can set you apart from other candidates.
