Machine Learning jobs in United Kingdom
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Machine Learning Engineer
Job summary
A leading deep-tech company in Oxford is seeking a Machine Learning Engineer to apply expertise in AI for advanced materials. You will work with cutting-edge technology and collaborate with top professionals to drive real-world innovation. The ideal candidate has over 5 years of experience with Python and various ML frameworks. This role offers a competitive salary, equity options, and a hybrid work model.
Benefits
Qualifications
- 5+ years of experience in Machine Learning engineering.
- Proficiency in the required tech stack including Python and various ML frameworks.
Responsibilities
- Apply ML expertise to innovate in advanced materials manufacturing.
- Collaborate with teams to design and deploy ML pipelines.
Skills
Machine Learning Engineer
Machine Learning Engineer – AI for Advanced Materials – Oxford / Remote (UK)
(Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform)
We’re looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that’s reinventing how the world designs and makes advanced materials. By combining artificial intelligence, physics-based simulation, and cutting-edge 3D printing, our client is transforming the way metal components are conceived, tested, and produced – enabling breakthroughs in aerospace, energy, and beyond.
This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact – from inventing new alloys to optimising complex manufacturing processes. You’ll collaborate with leading data scientists, engineers, and materials researchers to build models that drive real‑world innovation. Expect to design, validate, and deploy state‑of‑the‑art ML pipelines that move seamlessly from concept to production.
If you thrive in fast‑paced, intellectually charged environments where every model could change an industry, you’ll fit right in.
Noir
- Senior (5+ years of experience)
- Experience with Python, PyTorch, TensorFlow, Scikit‑learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies.
- Competitive salary with annual performance‑based bonuses
- Equity options – share in the company’s long‑term success
- Private healthcare and comprehensive wellbeing package
- Generous pension scheme (up to 8%)
- Dedicated R&D time to explore new technologies and research ideas
- Annual training & conference allowance of £5,000 for personal development
- Flexible and hybrid working – work where you’re most effective
- Opportunities for international collaboration with teams in Europe, Asia, and the US
- 25 days holiday plus your birthday off and extra days for long service
- Regular team offsites, guest talks, and hack weeks to spark innovation
- An open, supportive culture that values curiosity, creativity, and deep technical mastery
Location: Oxford, UK
Salary: £45000-£80000 (DOE) + Bonus + Equity + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK, even though remote working is available.
To apply for this position please send your CV to Lina Savjani at Noir.
Tagged as: Data Visualization, Industry, Machine Learning, NLP, United Kingdom
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.