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- Tasks: Develop AI systems to accelerate drug discovery and support scientific research.
- Company: Innovative biotech firm at the forefront of AI and science.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real-world impact by building cutting-edge AI tools for scientists.
- Qualifications: Experience with LLMs, strong Python skills, and real-world data systems.
- Other info: Join a high-calibre team and contribute to discovering new medicines.
The predicted salary is between 60000 - 80000 £ per year.
About the Role: We’re building AI systems that can reason through biology and accelerate drug discovery. As part of our Turing team, you’ll develop LLM- and agent-based tools that help scientists explore data, generate hypotheses, and make better decisions — faster. This is not a typical data science role. It’s about turning cutting-edge AI into real scientific impact.
Responsibilities:
- Build and deploy LLM-powered systems (RAG, agents, workflows) for scientific use
- Design tools that support ML scientists and researchers in their day-to-day work
- Work with large, messy biomedical datasets (omics, literature, clinical data)
- Create multi-step AI workflows that automate research and reasoning
- Develop evaluation frameworks to ensure models are accurate and reliable
- Collaborate closely with ML engineers, data scientists, and biologists
Requirements:
Core:
- Experience building with LLMs (GPT-style models, RAG, agents, tooling)
- Strong Python + data/ML engineering skills
- Experience working with real-world data systems (not just notebooks)
- Ability to build tools that support other technical users
Bonus:
- Experience in biotech, healthcare, or scientific data
- Background in multi-step workflows or agent-based systems
- Experience evaluating or benchmarking ML/AI systems
Why This Role:
- Work at the intersection of AI + science + real-world impact
- Build systems that go beyond chat — AI that reasons and acts
- Collaborate in a deeply cross-functional, high-calibre team
- Your work directly contributes to discovering new medicines
Senior Machine Learning Scientist in City of London employer: Hlx Life Sciences
Contact Detail:
Hlx Life Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Machine Learning Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and biotech. Attend meetups or webinars, and don’t be shy about asking for informational interviews — it’s a great way to get your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and real-world data systems. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and ML engineering skills. Practice coding challenges and be ready to discuss your experience with multi-step workflows and agent-based systems — they’ll want to see how you think on your feet!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged with our mission to make a real impact in science.
We think you need these skills to ace Senior Machine Learning Scientist in City of London
Some tips for your application 🫡
Show Your Passion for AI and Science: When writing your application, let your enthusiasm for AI and its impact on science shine through. We want to see how your experience aligns with our mission of accelerating drug discovery and making a real difference in the field.
Highlight Relevant Experience: Make sure to showcase your experience with LLMs and any hands-on work with messy biomedical datasets. We’re looking for specific examples that demonstrate your skills in building tools and workflows that support scientific research.
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Remember, we want to understand your qualifications without wading through unnecessary fluff!
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 this exciting role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your LLMs Inside Out
Make sure you’re well-versed in the latest developments around LLMs, especially GPT-style models. Be ready to discuss your experience with these technologies and how you've applied them in real-world scenarios, particularly in scientific contexts.
✨Showcase Your Python Skills
Brush up on your Python programming skills, as they’ll be crucial for this role. Prepare to demonstrate your ability to work with data and ML engineering, perhaps by discussing specific projects where you’ve built tools or systems that support other technical users.
✨Familiarise Yourself with Biomedical Data
Since you'll be working with large, messy biomedical datasets, it’s essential to understand the nuances of this type of data. Be prepared to talk about your experience with omics, literature, or clinical data, and how you’ve tackled challenges in these areas.
✨Prepare for Collaboration Questions
This role involves close collaboration with ML engineers, data scientists, and biologists. Think of examples from your past experiences where you successfully worked in cross-functional teams, and be ready to discuss how you can contribute to a high-calibre team environment.