111 jobs for “Data Engineer”
Palantir Technologies New York, United States US$135,000 – US$200,000 pa
Works directly with customers to own Gen AI strategy and implementation, building end-to-end LLM workflows and taking them to production at large scale. Operates in small teams like a hands-on AI startup CTO, feeding field learnings back into the Palantir AIP product suite. Requires strong engineering and ML foundations plus up to 25% travel to client sites.
Palantir Technologies New York, United States
Builds the front-end tooling and interfaces that let users construct data-intensive applications on Palantir Foundry, working in TypeScript, React and GQL with Blueprint components. Involves architecting state management and access patterns, owning APIs and schemas, and iterating with users and designers on complex UX. May include a Frontline rotation embedded with customers.
Faculty Remote (UK)
Lead technical direction on complex, business-critical AI projects for defence clients, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Combines hands-on ML depth with strategic oversight, mentoring data scientists and managing demanding client relationships. Requires UK Security Clearance and 2-4 days per week on client sites.
Faculty London
Scoping, building and delivering bespoke AI projects for pharmaceutical clients within a close-knit life sciences team. Involves managing work streams, conducting open-source analysis, translating operational requirements into user stories, and designing user-centric workflows alongside technical teams.
Capital One Leicester
Develops and maintains the statistical and machine learning models behind customer lending and underwriting decisions, using Python and advanced feature generation on large datasets. Involves model risk management, validation, monitoring and technical documentation, plus consulting on statistical test design with business partners. Hybrid role, three days a week in the Nottingham office.
Capital One Derby
Develops and maintains the statistical and machine learning models behind key underwriting and lending decisions, working with large datasets, feature generation and Open Banking or Credit Bureau data. Involves model risk management, validation, monitoring and consulting on statistical test design within a collaborative data science team.
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.
Faculty London
Lead the creation and growth of a dedicated maritime defence unit, owning the full sales lifecycle from market creation to complex contract and pricing negotiations with the Royal Navy, MOD, NATO/AUKUS and maritime industry. Blend deep naval domain expertise with commercial flair, overseeing multidisciplinary teams delivering AI and data-driven solutions for mission-critical operations. Requires eligibility for DV security clearance and some on-site client work.
Faculty London
Lead end-to-end delivery of complex AI and data science projects for UK government national security clients, acting as a commercial and delivery lead. Bridge cutting-edge AI research and operational mission needs, build trusted relationships with government partners, and develop proposals and RFP responses to unlock new strategic AI use cases. Mentor multidisciplinary teams while supporting sector strategy and commercial growth.
Faculty London
Owns end-to-end delivery of high-impact AI projects for clients in professional and financial services, acting as the link between customers and technical teams. Involves scoping, designing AI solutions, managing development, and building senior stakeholder relationships while spotting new commercial opportunities. Part-time hours are open for discussion.
Faculty London
Oversees a portfolio of Applied AI projects as the senior point of contact for clients and internal teams, managing delivery quality, commercial margins and scope. Combines hands-on delivery leadership with business development, writing proposals and growing accounts, while mentoring cross-functional teams and advising clients on AI strategy.
