612 jobs for “Engineer”
NVIDIA United Kingdom
Technical account manager role focused on a small set of strategic software companies, driving adoption of NVIDIA's AI and accelerated computing platform. Involves hands-on work with agentic AI, open models, SDKs, NIMs and blueprints, plus developer advocacy, ecosystem mapping and representing NVIDIA at events.
RecruitmentRevolution.com Didcot £45,000 – £65,000 pa
Develops predictive models and chemometric capabilities that turn spectroscopy and industrial process data into practical recommendations for manufacturers. Works hands-on with Python, machine learning and statistics alongside chemometricians, software developers and customer engineering teams, with occasional international travel. Combines technical experimentation with customer collaboration to shape the IRis platform.
Capital One Leicester
Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, driving prototypes through to production.
Capital One Derby
Leads the development of proprietary deep learning models to enhance underwriting capabilities, building neural networks such as LSTMs, RNNs and Transformers on structured and unstructured data. Sets technical direction, manages projects, communicates with stakeholders and mentors junior team members, working hybrid from the Nottingham office three days a week.
eFinancialCareers London
The role involves conducting in-depth quantitative analysis of hedge fund performance, developing and maintaining proprietary analytical frameworks, and building predictive models using alternative datasets and machine learning. The position is fully remote, requiring strong technical skills and the ability to work in a distributed environment.
eFinancialCareers London £84,000 – £126,000 pa
Joins the Data Analytics Team within the EMEA Data Management Office to build out data science capability, developing proofs of concept that show where machine learning and statistical modelling can deliver measurable business value. Works hands-on with Python across the full data science lifecycle, from exploratory analysis and feature engineering to model evaluation, while translating business problems into analytical use cases and presenting findings to technical and non-technical stakeholders. Requires comfort with ambiguity and siloed, disconnected data, plus mentoring colleagues and establishing reusable standards and best practices.
eFinancialCareers London
This role involves developing systematic trading models and alpha strategies across various financial markets, including FX, commodities, fixed income, and equities. You will work on back-testing, improving existing strategies, and evaluating new datasets to enhance the team's investment process and research infrastructure.
eFinancialCareers London
This role involves conducting original quantitative research to develop statistical and mathematical models for trading, using large, noisy datasets and proprietary infrastructure processing billions of market events daily. The scientist will translate research into production code, peer-review ideas, and explore unconventional approaches with potential investment value. The position emphasizes deep mathematical problem-solving, programming rigor, and collaboration in a research-driven, intellectually autonomous environment.
Isomorphic Labs London
Lead pharmacology and translational biology strategy for large molecule therapeutics, designing in vivo efficacy and complex in vitro functional assays. Act as Biology Lead on projects, coordinating internal workflows and external CROs through candidate selection, while feeding data back into generative AI design loops.
Amazon London
Lead teams of technicians running AWS data centre operations, owning the full infrastructure lifecycle from rack installation and break-fix maintenance to decommissioning. The role involves adopting high-density GPU, AI accelerator and liquid-cooling technologies, using Generative AI to automate workflows, and managing vendor relationships and Health & Safety standards.
Faculty London
Lead the development of novel safety evaluations quantifying AI risks in high-impact domains such as CBRN and Cyber, executing original technical research from concept to publication. Shape the R&D agenda, contribute to client delivery and red-teaming for frontier labs, and engage externally with the global research community and government stakeholders.
Faculty Remote (UK)
Sets technical direction for complex, business-critical AI projects in the defence sector, architecting production-grade machine learning solutions and overseeing end-to-end delivery. Balances speed, innovation and reliability while mentoring data scientists and acting as a trusted technical advisor to demanding clients. Requires UK Security Clearance and 2-4 days per week on client sites.
