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Machine Learning Engineer - AI for Advanced Materials - Oxford
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Machine Learning Engineer - AI for Advanced Materials - Oxford
Job summary
A leading deep-tech company in the UK seeks a Machine Learning Engineer to apply ML expertise in transforming the design and manufacture of advanced materials. With a competitive salary of GBP45,000-GBP80,000, the role offers equity options, private healthcare, and a flexible working environment. The ideal candidate will collaborate with diverse teams to innovate solutions that have real-world impacts.
Benefits
Qualifications
- Experience in Machine Learning with a focus on AI applications.
- Ability to work collaboratively in a fast-paced environment.
- Strong problem-solving skills and a passion for innovation.
Responsibilities
- Design, validate, and deploy state-of-the-art ML pipelines.
- Collaborate with data scientists, engineers, and researchers.
- Apply ML expertise to real-world problems in advanced materials.
Skills
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.
Our client is seeking Machine Learning Engineers with experience in some or all of the following (full training provided to fill any gaps):
- 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
- 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 GBP5,000 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
Oxford, UK
GBP45,000-GBP80,000 (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.
* 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.