At a Glance
- Tasks: Lead a team to develop groundbreaking AI models for drug discovery.
- Company: AI-native biotech startup transforming medicine with innovative technology.
- Benefits: Competitive salary, significant equity, and access to cutting-edge 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 a top-tier AI team.
- Qualifications: Proven leadership in ML engineering 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
Essential
- 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 in Slough employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Join an innovative AI drug discovery startup in London, where you'll lead a high-performing team at the forefront of biological intelligence. With a collaborative culture that fosters scientific curiosity and engineering excellence, you'll enjoy significant ownership and influence over technical direction, competitive compensation, and access to cutting-edge resources. This is an exceptional opportunity for those looking to make a meaningful impact on human health while advancing their careers in a dynamic and supportive environment.
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Machine Learning Engineer in Slough
✨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 put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and 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. Practice common ML interview questions and be ready to discuss your past experiences. Remember, they want to see how you think and solve problems!
✨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 the forefront of AI in biotech.
We think you need these skills to ace Lead Machine Learning Engineer in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the role of Lead Machine Learning Engineer. Highlight your leadership experience and any relevant projects in ML, especially those related to foundation models and probabilistic AI.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI in biotech. Share specific examples of how you've led teams or projects that resonate with our mission of transforming drug discovery through advanced ML techniques.
Showcase Your Technical Skills:Don’t shy away from diving into the technical details! We want to see your understanding of deep learning systems, generative AI, and probabilistic modelling. Mention any tools or frameworks you’re proficient in that are relevant to the role.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to lead our ML team!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Stuff
Make sure you brush up on the latest in foundation models and probabilistic AI. Be ready to discuss your experience with deep learning systems and how you've applied them in production. This role is all about technical depth, so show them you’re not just familiar but passionate about these topics.
✨Showcase Leadership Skills
Since this is a team lead position, be prepared to talk about your leadership style. Share specific examples of how you've mentored engineers or researchers in the past. Highlight your ability to balance innovation with execution, as they’ll want to see you can guide a team effectively.
✨Prepare for Technical Questions
Expect some challenging technical questions that dive into your understanding of Bayesian inference and generative AI techniques. Practise explaining complex concepts clearly and concisely, as communication is key in this role. They’ll appreciate your ability to break down intricate ideas.
✨Align with Their Mission
Research the company’s mission in AI drug discovery and think about how your background aligns with their goals. Be ready to discuss how your work can contribute to accelerating therapeutic discovery. Showing genuine interest in their impact on human health will set you apart.
