221 jobs for “Python”
Wayve London
Owns the technical architecture and roadmap for LiDAR and cross-sensor 3D sensing, developing calibration, registration, temporal alignment and motion compensation methods. Blends algorithm research with production deployment in C++/Python, providing technical leadership and mentorship across the 3D sensing stack.
Wayve London
Owns the technical vision and architecture for a platform that lets model engineers deploy, run, evaluate and improve ML models over petabytes of driving data and large GPU fleets. Combines hands-on backend engineering in Python with cross-team technical leadership, mentoring senior engineers and leading a small team of 2-3.
Faculty London
Lead the technical direction and delivery of complex AI projects for enterprise clients in financial and professional services, acting as primary technical authority from discovery to production. Balance hands-on full-stack work in Python and TypeScript/React with mentoring a squad of engineers and shaping reusable architecture. Distinct for its client-facing, highly regulated context and emphasis on safe, responsible AI deployment.
Faculty London
Leads a small, high-agency research team setting the scientific agenda for AI safety, with a focus on large language models and safety-critical systems. Involves conducting and overseeing red-teaming and evaluations in high-risk domains such as CBRN and cybersecurity, publishing at top conferences, and mentoring researchers while aligning work with commercial goals.
Harnham - Data and Analytics Recruitment London £80,000 pa
Builds internal AI agents, tools and prototypes within a small central technical team, turning complex group data into usable products at speed. Work spans Python, TypeScript and SQL, modernising legacy systems, wrapping systems in scalable APIs and contributing to shared data and entity platforms, with weekly demonstrable output.
Capital One Loughborough
Lead 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. Set technical direction, manage projects, communicate with stakeholders and mentor junior team members, taking ideas from prototype to production in a hybrid Nottingham team.
Capital One Lincoln
Lead 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. The role involves setting technical direction, mentoring junior team members, and driving prototypes through to production in collaboration with business stakeholders.
Reed Leeds £72,000 – £82,000 pa
Senior technical voice across one or two delivery teams, remaining hands-on to build solutions, mentor engineers and drive engineering excellence. Works with Product Managers, Architects and stakeholders to translate complex challenges into scalable, AI-enabled solutions, shaping standards and best practices in a new digital function.
Harnham - Data and Analytics Recruitment United States US$200,000 – US$225,000 pa
Build and own core platform capabilities including application infrastructure, APIs and shared services, developing full stack applications in Python, React and TypeScript. Surface machine learning and predictive analytics insights through intuitive interfaces and integrate AI/LLM workflows into production, working in a small innovation team with significant architectural ownership.
Deerfoot Recruitment Solutions Hertfordshire £35,000 pa
Floating tester across a Data Platforms and Analytics function, covering middleware, data analytics, RPA and data platform teams. Uses AI tooling, including an in-house LLM-based tool, to generate and execute tests, then validates output. Tests an internally built AI agent, APIs, end-to-end data flows, Azure Synapse, Microsoft Fabric, Power BI, Tableau and UiPath RPA processes, writing SQL and lightweight Python for data reconciliation.
Picture More London £90,000 – £105,000 pa
Hands-on engineering role designing, building and deploying production AI applications for an international professional services firm. Work spans document analysis, summarisation, workflow automation and AI agents, using Python, Microsoft Copilot Studio, Azure AI Foundry and Azure DevOps, with LLMs, prompt engineering and enterprise system integration. Emphasis on secure, governed delivery rather than strategy.
Ocado Sofia, Bulgaria
Maintains and improves a live customer-facing slot-availability application while writing Terraform/OpenTofu infrastructure as code for cloud environments. Extends backend services, APIs and data pipelines, and modernises the platform by tuning Airflow/Composer and reducing technical debt. Works in a small distributed team with monitoring, alerting and incident response duties.
Pure Resourcing Solutions Cambridge £55,000 – £70,000 pa
Works alongside senior engineers pulling real metrics from live training and inference jobs, turning them into performance models and calculators that predict whether optimisations or hardware changes are worth shipping. Requires a postgraduate research background, strong Python data skills, GPU/CUDA experience and profiling tool familiarity, with real ownership early on.
Pure Resourcing Solutions Cambridge £90,000 – £120,000 pa
Sits between research and engineering teams, pulling real numbers from live training and inference runs to build performance models and calculators that forecast system behaviour and inform hardware purchasing decisions. Involves hands-on GPU/accelerator optimisation with CUDA, profiling with Nsight or PyTorch Profiler, and deep understanding of how LLMs run on real hardware. Part of an early-stage non-profit pooling AI infrastructure problems across members.
Carrington Recruitment Solutions London £95,000 – £105,000 pa
Hands-on role designing, building and maintaining production AI solutions that support legal service delivery, knowledge management and operational efficiency. You will work with Copilot Studio, Azure AI Foundry and Azure DevOps, integrating agentic AI into core business systems while ensuring security, privacy and regulatory compliance. The position involves close collaboration with senior stakeholders and knowledge professionals across international offices.
