2 of 2 Data Science Jobs in Kidlington

Experimental Data Engineer - Advanced Engineering Start-Up - Oxfordshire We have an incredible opportunity for an Experimental Data Engineer to join one of the UK's most exciting venture-backed deep-tech start-ups. This fast growing company is redefining the future of high-performance engineered systems and advanced materials, combining world-class engineering with cutting edge data science, proprietary software, and additive manufacturing. Innovation here isn't theoretical - it's hands-on, tested, and built into the next generation of advanced products. In this role you'll work alongside exceptional engineers, metallurgists, and software developers at the forefront of materials design, precision manufacturing, and experimental validation. This is a chance to be part of a … team where experimentation, insight, and creativity directly influence real-world technology. As an Experimental Data Engineer, you will design, build, and maintain advanced testing and data acquisition systems. You will configure hardware, integrate sensors, and develop software to collect, process, and visualise complex datasets, turning raw data into actionable insights that drive performance and product development. You More ❯

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 … 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 … 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 that's fusing AI, science, and engineering to push the boundaries of More ❯