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- Tasks: Architect and develop cutting-edge AI systems for microbiome-drug interactions.
- Company: Join a pioneering team at the forefront of drug development.
- Benefits: Significant equity, full ownership, and the chance to impact patient outcomes.
- Why this job: Be a founding member and transform healthcare with innovative technology.
- Qualifications: 5+ years in ML systems, expertise in PyTorch, and a passion for biology.
- Other info: Work alongside leading scientists in a dynamic, impactful environment.
The predicted salary is between 48000 - 72000 £ per year.
We are on a mission to redefine drug development by building the first foundation model of microbiome-drug interactions. We’re looking for a founding Principal Machine Learning Engineer, a hands-on technical leader ready to architect core AI systems and write production code daily.
What you’ll do:
- Architect cloud infrastructure for distributed ML pipelines using PyTorch, including cluster management and spot instance orchestration
- Design, prototype, and train large models integrating multi-omic and clinical data
- Lead MLOps: CI/CD, model deployment, experiment tracking, and reproducibility
- Collaborate with scientists and data engineers to translate biological data into predictive AI systems
- Contribute to foundational model architecture decisions and future open-source initiatives
Your profile:
- 5+ years building and deploying ML systems at scale
- Expertise in PyTorch and modern ML tooling (ML Flow, Weights & Biases, Sagemaker, Ray)
- Experience in cloud and containerized deployment
- Interest or experience in biology, bioinformatics, or healthcare
- Proven track record of building research environments and deploying production-ready models
Be a founding member of the engineering team with significant equity and full system ownership. Work on cutting-edge models at AlphaFold scale while staying hands-on. Drive real-world impact on patient outcomes alongside leading scientists in microbiome research.
If you’re ready to push technical boundaries and transform drug development, this is your chance to make a real difference.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: IT Services and IT Consulting
Machine Learning Engineer in London employer: Generative
Contact Detail:
Generative Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at Generative. A friendly message on LinkedIn can go a long way. We all know that referrals can double your chances of landing an interview!
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to ML, make sure to highlight them. We love seeing practical applications of your expertise, especially in PyTorch and cloud deployment.
✨Tip Number 3
Prepare for technical interviews by brushing up on your MLOps knowledge. We recommend practising coding challenges and discussing your past projects. Being able to articulate your experience with CI/CD and model deployment will impress any interviewer.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals ready to make a difference in drug development.
We think you need these skills to ace Machine Learning Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Machine Learning Engineer role. Highlight your experience with PyTorch and any cloud deployment projects you've worked on. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for AI and drug development, and explain why you’re excited about this opportunity at Generative. Let us know how you can contribute to our team.
Showcase Your Projects: Include links to any relevant projects or GitHub repositories in your application. We love seeing hands-on work, especially if it involves ML systems or bioinformatics. It gives us a taste of your coding style and problem-solving skills!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the whole process smoother for both of us!
How to prepare for a job interview at Generative
✨Know Your Tech Inside Out
Make sure you’re well-versed in PyTorch and the modern ML tools mentioned in the job description. Brush up on your knowledge of ML Flow, Weights & Biases, and Sagemaker. Being able to discuss your hands-on experience with these technologies will show that you’re ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building and deploying ML systems. Think about how you’ve architected cloud infrastructure or managed distributed ML pipelines. Real-world examples will demonstrate your ability to tackle complex problems and lead technical initiatives.
✨Connect the Dots with Biology
Since the role involves translating biological data into predictive AI systems, it’s a good idea to brush up on your biology and bioinformatics knowledge. Be ready to discuss how your technical skills can contribute to advancements in healthcare and drug development.
✨Be Ready to Collaborate
Collaboration is key in this role, so think about past experiences where you worked closely with scientists or data engineers. Prepare to share how you’ve successfully communicated technical concepts to non-technical team members, as this will highlight your teamwork and leadership abilities.
