245 jobs for “data warehouse”
Harnham - Data and Analytics Recruitment London £100,000 – £115,000 pa
Validates and challenges quantitative models across an investment organisation, conducting research into model performance, assumptions and limitations. Produces validation reports, presents findings to governance committees, and builds Python automation and tooling to improve risk processes. Sits within an independent risk function with heavy stakeholder engagement.
Harnham - Data and Analytics Recruitment London £90,000 – £150,000 pa
Lead a centralised Analytics and MI function operating as an internal consultancy, managing managers and analysts while driving the shift from descriptive reporting to insight-led analytics. Embed AI and advanced analytics into workflows, oversee scalable data and reporting infrastructure, and manage migration to a new decisioning platform across finance, marketing and executive stakeholders.
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Builds elegant, robust APIs powered by Kubernetes controllers, bridging raw clusters and an infrastructure-agnostic runtime serving hundreds of microservices. Works with forward deployed and customer engineers on a secure, compliant PaaS for US Government customers, shaping strategy for an early-stage product.
Palantir Technologies Seattle, United States US$135,000 – US$200,000 pa
Builds robust APIs and Kubernetes controllers for Mission Manager, Palantir's PaaS that lets US Government customers run software securely in disconnected, cloud, or edge environments. Works with forward deployed engineers to close product gaps and shape a long-term infrastructure roadmap for a platform still in its earliest days.
Isomorphic Labs London
Research engineers translate frontier research concepts into practical implementations, building and optimising state-of-the-art AI models such as Transformers, GNNs and diffusion models, plus the codebases, data pipelines and infrastructure for training and evaluation. The role spans the full ML lifecycle from experimentation and benchmarking to production integration, working closely with research scientists in a cross-disciplinary drug design team.
Isomorphic Labs London
Conducts core machine learning research applying large language models to drug discovery, developing and refining LLM-driven approaches across biology and chemistry use cases. Builds and scales training and inference frameworks, tunes experiments, and collaborates with interdisciplinary scientists. Senior candidates may lead standalone projects and mentor the ML community.
Faculty London
Lead a small, high-agency research team setting the scientific agenda for AI safety, focused on large language models and safety-critical systems. Conduct and oversee red-teaming and evaluations in high-risk domains like CBRN and cybersecurity, publish at top conferences, and mentor researchers while aligning work with commercial goals.
Faculty London
Owns and grows major Life Sciences accounts, acting as a strategic partner to pharma, academic and MedTech clients. Leads a cross-functional team of delivery and engagement specialists, driving commercial negotiations, sales planning and forecasting while translating complex AI concepts into client use cases. Combines business development with mentorship and thought leadership at industry events.
University of Exeter Exeter £21,805 pa
Develop next-generation machine learning models to predict genetic interactions from large-scale perturb-seq data, evaluating graph neural networks, autoencoders and joint gene embeddings. The project is purely computational, with experimental pancreatic cancer data supplied by the AstraZeneca and Cancer Research Horizons Functional Genomics Centre for a lab-in-the-loop validation cycle.
