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ML Engineer / Data Scientist
- Machine Learning Engineer / Data Scientist
- London - Hybrid Working
- Full-time, Permanent
- Salary up to £65,000 per annum
About the client:My client are a Biotech firm in London, seeking a passionate ML Engineer or Data Scientist to drive innovation in sustainable technologies. You'll play a key role in developing machine learning models and optimisation systems that support sectors like cultivated meat and cell therapy. You'll be working closely with a small, collaborative team of engineers and biologists to deliver real-world solutions.
The Benefits:
- Competitive salary
- 25 days' holiday + flexible bank holidays
- Flexible working hours
- Private health insurance & pension plan
- Supportive and collaborative team environment
- Regular company socials
The ML Engineer / Data Scientist role:Develop and integrate optimisation models, advancing our media optimisation capabilities.Collaborate with engineers and scientists to integrate new models into our laboratory automation systems.Build machine learning and analytics tools, such as computer vision models for cell morphology evaluation and bioinformatics tools.Work with cell biologists to improve optimisation efficiency and curate lab data.
ML Engineer / Data Scientist - Desirable skills:
- 5+ years' experience within Machine Learning / Data Science
- Expertise in probabilistic modelling, Bayesian optimisation, and related mathematical principles.
- Experience with traditional ML methods and neural networks, and frameworks such as TensorFlow, PyTorch, or JAX.
- Proficiency in data manipulation, feature engineering, and visualisation tools like Streamlit or Dash.
ML Engineer / Data Scientist - Key Skills:
- Translating stakeholder needs into technical requirements.
- Building scalable, reliable systems with robust testing.
- Excellent communication and collaboration skills.
- Strong ownership and accountability for your work.
ML Engineer / Data Scientist - Essential Requirements:
- Must hold a UK Passport, ILR or UK Settlement status - No sponsorship offered
- Degree in Computer Science, Mathematics, Bioengineering, Physics, or similar.
To be considered…Please apply by clicking online or emailing me directly at . For further information please call me on . By applying for this role, you give express consent for us to process & submit your application to our client in conjunction with this vacancy only.
Key Skills: Machine Learning, Data Science, Probabilistic Modelling, Bayesian Optimisation, TensorFlow, PyTorch, JAX, Data, Streamlit, Dash, Communication
