601 jobs
Tenth Revolution Group London £50,000 – £60,000 pa
Design, build and deploy scalable data pipelines on the Databricks Lakehouse Platform, working across the full engineering lifecycle from requirements gathering to deployment and optimisation. Build data models supporting reporting, analytics, ML and AI use cases, and implement governance and data quality practices within a consulting team delivering enterprise-scale platforms.
Tenth Revolution Group Newcastle upon Tyne £75,000 – £90,000 pa
Builds forecasting models and applies statistical and machine learning techniques to large structured, unstructured and alternative datasets. Designs automated data pipelines, reporting and self-service visualisation tools, and works closely with business stakeholders to turn analysis into strategic decisions. Sits in a highly skilled analytics team with significant ownership and autonomy.
Cambridge Consultants United Kingdom
Designs, builds and tests intelligent systems for defence and security clients, covering signal processing, radar, computer vision, transformers and edge AI. Takes technical ownership of significant project parts, mentors junior engineers, and works directly with clients on proposals and new work. Requires SC clearance and substantial time on-site.
Cambridge Consultants United Kingdom
Architect algorithmic approaches on complex defence and security projects, acting as technical lead and authority across the department. Hands-on work spans machine learning, applied statistics, sensor processing, signal processing and numerical optimisation, alongside client-facing proposal development and mentoring engineers.
Candour Greater Manchester £65,000 – £75,000 pa
Joins a core team of data scientists, engineers and analysts working in small teams on a two-week review cycle, delivering minimum viable solutions that scale. Covers the full data science lifecycle, from exploratory analysis and model building to deployment, monitoring and retraining of production models, while working with business stakeholders on pricing, customer intent and decision-making. Combines hands-on Python and TDD work with clear communication of findings.
Intec Select London £65,000 – £80,000 pa
Hands-on role building complete software and data systems end to end, from architecture through to production, for an investment management firm's internal platforms. Work spans Python and SQL backends, REST APIs, data pipelines, cloud infrastructure and applied AI/LLM tools for document processing, reporting and automation, with ownership of solutions from concept to deployment.
Relation Therapeutics London
Open speculative application for a TechBio company, inviting CVs from computational biologists, life sciences researchers, and ML engineers with high-performance multi-GPU computing experience. Successful candidates would join matrixed, interdisciplinary teams combining biology, computation and engineering in wet and dry labs to advance drug discovery.
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.
eFinancialCareers London
Develop and test alpha-generating strategies for systematic equity portfolios using statistical techniques, machine learning, and large-scale data analysis. Work closely with portfolio managers to transition research into live trading, building predictive models and robust research infrastructure in Python. Focus on rigorous backtesting, signal validation, and collaborative research in a high-impact environment.
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.
Hadean London
Lead a multidisciplinary engineering team building dominAI, an AI-powered defence product, line-managing AI/ML, simulation, infrastructure and web engineers while staying hands-on in TypeScript, React and Node. Own delivery end-to-end, hiring and people development, partnering with Product and technical leads. Hybrid, one day a week in Shoreditch.
CureAge Therapeutics London
Lead the computationally guided design of a lipid nanoparticle delivery platform, applying chemical and biophysical principles to optimise LNP composition and formulation. Use AI-enabled chemistry, cheminformatics, predictive models and molecular modelling to prioritise formulation components, working closely with the experimental team and founding team in a small start-up.
Anthropic London £260,000 – £630,000 pa
Blends reinforcement learning research with engineering, building scalable RL infrastructure, distributed training across GPU clusters, and novel training environments for agentic LLMs. Involves profiling, optimization, caching, and debugging distributed systems, with close collaboration between research and production teams.
Anthropic London £370,000 – £630,000 pa
Builds and improves the core RL training infrastructure that researchers depend on, profiling, debugging and rearchitecting bottlenecks across the stack. Works closely with researchers and adjacent teams such as inference and sandboxing to ship tooling that speeds up training runs, spanning low-level performance work through to RL algorithms.
PhysicsX New York, United States US$240,000 – US$300,000 pa
Leads regional deployment engineering for a physics AI platform, owning end-to-end delivery into customer-owned infrastructure and acting as primary technical contact for CIOs and CTOs. Combines executive engagement with hands-on work on Kubernetes, cloud and infrastructure-as-code deployments, while hiring and scaling a team of deployment engineers. Requires navigating regulated, high-security and on-prem/HPC environments.
