Imperial College London★4.2 (238)· London

You will work with R, Python, Stata, or SAS, plus SQL and cloud-based or high-performance computing. The role uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and develop clinical risk prediction models. You join the multidisciplinary Misra Group within Imperial’s Department of Metabolism, Digestion and Reproduction.

EPAM Systems★3.8 (703)· London

You will lead the design and optimization of scalable cloud-native data architectures using Azure Databricks, PySpark, Delta Lake, and Azure services, while implementing CI/CD with Terraform, GitHub Actions, or Jenkins. The role involves driving data strategies, mentoring engineers, and enabling AI-driven solutions with Databricks ML/MosaicML.

Design and maintain automated test suites using C

You will use Python, core ML frameworks, and post-training techniques (GRPO, PPO, RLVR, SFT, PEFT) to develop enterprise-grade coding agents. This cross-disciplinary team combines Sonar’s static analysis with LLM post-training to help customers build agents generating high-quality code meeting enterprise standards.

Imperial College London★4.2 (238)· London

You will develop machine-learning and structural-bioinformatics methods for protein design using Python, modern deep-learning frameworks, protein diffusion/flow-based models, HPC clusters, and cloud computing. This role contributes to ProteinCAD, part of the CADMUS consortium, which uses designed proteins as programmable scaffolds to organise inorganic particles for manufacturing advanced magnetic materials.

Imperial College London★4.2 (238)· London

You will work with Python, PyTorch, NumPy, SciPy, Pandas, discrete-event simulation, Anaconda and Jupyter to develop performance, cost and reliability models for distributed Foundation Model inference across Cloud, Edge and IoT tiers as part of the f-inference project. This role is in the Department of Computing at Imperial College London.

SSE PLC★3.1 (539)· London

Work with SQL, Python, Databricks and Power BI to build statistical and machine learning models. You will apply analytics and AI to assess risk, controls and assurance activities for SSE, an energy company investing in electricity infrastructure.