223 jobs for “data science”
PhysicsX Singapore
Builds physical foundation models for industrial engineering, scaling training across multi-GPU cloud compute and turning research prototypes into robust, optimised implementations. Works closely with research scientists, simulation engineers and customers, owning research work-streams and translating results into reusable libraries, tooling and products.
PhysicsX London
Owns deployment of ML models and engineering surrogates (deep learning on CAE/CFD/FEA data, forecasting, anomaly detection) into customer production environments, building scalable training and inference pipelines with Python, PyTorch, Kubeflow and fastAPI. Leads scoping and architecture, mentors engineers, and travels to customer sites roughly 3-4 weeks per quarter.
University of Oxford Oxford £49,119 – £58,265 pa
Develops and validates machine learning models for disease forecasting and simulation models for scenario exploration, using large-scale epidemiological, genomic and behavioural data. Builds decision-support tools and reproducible pipelines, integrating them into public health workflows with partners in Nigeria and the DRC through co-design workshops and training.
Databricks London
Serve as the trusted technical ML and AI expert for enterprise customers, architecting production-grade ML and GenAI workloads on the Databricks platform. The role spans RAG architectures, agentic systems, MLOps lifecycle management, and cloud-native integration, while mentoring colleagues and influencing the product roadmap. It combines deep hands-on engineering with customer-facing technical sales support.
NVIDIA Zürich, Switzerland
Design, develop and optimise GPU/CPU-accelerated data processing libraries such as DALI and nvImageCodec, covering numerical algorithms, performance tuning and benchmarking across architectures. Works closely with leadership and external partners on technical roadmaps, and provides technical leadership and guidance to other library engineers.
NVIDIA United Kingdom
Design, develop and optimise GPU/CPU-accelerated numerical libraries such as DALI and nvImageCodec, with heavy focus on performance tuning, benchmarking and CUDA-based parallel algorithms. The role also involves setting technical roadmaps with partners and providing technical leadership to other library engineers.
Databricks London
Owns the core write-path operations for Delta Lake, the open-source storage layer behind the Databricks Lakehouse, driving performance innovations like Low Shuffle Merge and Deletion Vectors. Designs and maintains high-QPS, low-latency backend systems at massive scale, with technical leadership, mentoring and cross-team project planning.
Aioi Nissay Dowa Europe Oxford £81,322 – £112,488 pa
This role involves leading research in privacy-preserving generative AI, focusing on techniques like differential privacy, federated learning, and secure inference. The scientist will design and validate machine learning models, translate research into deployable systems, and contribute to publications and collaborations within a multi-partner environment. Emphasis is placed on responsible AI, reproducibility, and mentoring junior team members.
Scale AI London
Builds full-stack AI applications directly alongside public sector clients, scoping requirements, gathering feedback and shipping production-grade systems. Work spans React and TypeScript front ends, Python/Node backends, and cloud infrastructure on AWS, Azure or GCP, with a focus on reusable platform features and deploying into customer environments.
Scale AI London
Forward-deployed full-stack engineer who partners directly with public sector clients to turn ambiguous mission requirements into production-grade AI applications. Leads architecture across React, Node.js, Python, Kubernetes and global cloud infrastructure, mentoring staff and shaping reusable platform patterns. Founding-member role on Scale's Global Public Sector team.
Causaly London
Design and ship ML/AI solutions end-to-end, from data exploration to deployment and monitoring, choosing between classical ML, NLP, LLM and agentic approaches. Work closely with product, design and engineering on user-facing AI features, champion model and data quality, and mentor junior engineers in a biomedical knowledge platform team.
Isomorphic Labs Cambridge, United States
Lead computational drug design programs from initiation through to clinical candidate selection, applying AI-first approaches and shaping the company's ML drug design engine. Work cross-functionally with ML, biology and chemistry teams, with optional people management of 2-3 computational chemists.
Isomorphic Labs Lausanne, Switzerland
Architect and secure an AI-first drug discovery platform, reporting to the CISO. You will build AI-specific risk frameworks, protect model artifacts, deploy LLM and agentic guardrails, and lead AI security incident response across distributed training and inference infrastructure.
Infused Solutions London £65,000 – £75,000 pa
Senior AI EngineerLocation: Remote (UK) or Hybrid - London (1 days per week in the office if London-based)Salary: £65,000 - £75,000 + Excellent BenefitsJob Type: PermanentPlease note: Applicants must have the right to work in the UK. Unfortunately, visa sponsorship...
Faculty London
Lead the design, build and deployment of production-grade ML and software systems for clients across pharma, academia and MedTech. The role blends hands-on Python and cloud engineering with architecture decisions, client-facing advisory work and mentoring junior engineers. It sits within a cross-functional life sciences team focused on AI for therapy research and commercialisation.
