Machine Learning Engineer
Machine Learning Engineer AI for Advanced Materials Oxford
(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)
Were looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company thats 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. Youll 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.
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, and Agile methodologies.
Join a team thats fusing AI, science, and engineering to push the boundaries of whats possible.
All Machine Learning Engineer positions come with the following benefits:
Competitive salary with annual performance-based bonuses
Equity options share in the companys long-term success
Private healthcare and comprehensive wellbeing package
Generous pension scheme (up to 8%)
Annual training & conference allowance of 5,000 for personal development
Flexible and hybrid working work where youre most effective
25 days holiday plus your birthday off and extra days for long service
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.
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