Top Python Jobs in London

Contract Databricks Engineer to design and deliver cloud data lakehouse solutions (AWS/Azure), lead and mentor data engineers, run hands-on development (SQL/Python/PySpark), drive migrations and medallion architecture implementations, engage clients, shape technical strategy and support delivery and pre-sales.

Analyze large financial datasets, validate and develop automated models, model corporate actions and index changes, write client-facing research reports, communicate insights to clients, and source public information.

Build and scale AI-driven automation solutions using LLMs and agent frameworks. Design multi-step workflows, integrate AI with internal systems (HR, finance, legal, ticketing), automate document processing and data extraction, and train internal teams. Collaborate with technical leads, product, and IT to deliver practical, production-ready automation and iterate quickly.

Act as a subject-matter expert for Agentforce/Data Cloud, engage strategic customers to optimise architecture and performance, identify capability gaps, run tailored playbooks, influence executives on tech-to-business value, build partner relationships, and mentor peers to drive customer success and adoption.

Join as a Senior Full Stack Developer to build high-performance systems in programmatic advertising using AI technologies. Responsibilities include integrating ad servers, developing full-stack applications, and ensuring compliance with privacy frameworks.

Bridge patent practice and AI product development: engineer LLM outputs for patent tasks, build legal benchmarks and datasets, drive product roadmap, run pilots with global IP teams, and document AI adoption playbooks.

Lead development and production deployment of proprietary LLM-based algorithms and high-scale evaluation pipelines. Implement advanced prompt engineering, ship evaluation frameworks, and work across the stack (Python, Postgres, TypeScript/React) to translate research into production-ready AI products.

Design and maintain multi-region AWS infrastructure with Terraform, build isolated single-tenant environments, architect CI/CD (GitHub Actions, Docker), implement observability (OpenTelemetry, Datadog/Grafana), and tune autoscaling and networking for high-throughput LLM workloads to ensure reliability and low latency.

Design, build, and deploy production-ready AI algorithms and high-scale evaluation pipelines focused on LLMs and patent generation. Implement advanced prompt engineering, translate research into product across the stack (Python, Postgres, React/TypeScript), and benchmark models to drive R&D decisions.

Design and build next-generation AI-assisted interfaces for complex IP workflows. Lead front-end architecture, rapidly prototype and ship features from user feedback, integrate advanced WYSIWYG editors, and contribute across the full stack to ensure robust, high-performance delivery as a founding engineering hire.

Build and own backend platform systems around AI models: design APIs, data models and schemas, implement integrations and data pipelines, create internal libraries/tooling, and drive features end-to-end from design to production while collaborating with engineers and AI specialists.

Build and own full-stack platform systems around AI models: design APIs, database schemas, frontend components, shared libraries, connectors, and data pipelines. Collaborate with design and AI teams, drive features end-to-end from design to production, and shape technical direction and engineering practices.

Develop and manage a book of vanilla gas, Brent and EUA options. Generate revenues via option and volatility strategies, trade liquid markets, market-make illiquid products, implement quantitative trading strategies, design pricing models and desk tools, and ensure regulatory and front-office compliance.

Own and patch Chromium/Firefox C++ source to build an in-house stealth browser. Fix fingerprinting at the engine level (navigator, WebGL, canvas, fonts, Client Hints), eliminate CDP leaks, maintain per-OS fingerprint profiles, continuously rebase patches, build validation tooling, and debug detection issues to keep automation indistinguishable from real users.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

The Senior CFD Engineer will develop complex multiphysics models, validate DEM models, automate simulation workflows, mentor juniors, and engage with customers globally to solve engineering challenges.

Develop and maintain an AI product full-stack: build backend services (Django/FastAPI/Flask) and frontend apps (React/Angular/Vue) using TypeScript/JavaScript and Python, collaborate with a small product team, use GitHub, and contribute in a fast-paced startup. Interest or experience with LLMs is a bonus.

Own end-to-end full-stack features and systems (frontend, backend, infra). Ship reliable, high-performance, scalable microservices and LLM-powered customer workflows on AWS, partner with product, make architectural decisions, improve CI/CD and infrastructure, and mentor peers.

Lead cross-functional engineering teams to design, deliver, and evolve cloud-native, event-driven insurance applications. Own architecture, roadmap, and delivery for policy, claims, underwriting, and compliance systems while ensuring regulatory adherence, vendor management, Agile/DevSecOps practices, and engineering KPIs.

Lead portfolios of marketing-mix-modeling (MMM) and marketing effectiveness programs, manage teams, ensure delivery quality, translate analytics into C-suite recommendations, drive account growth, and develop talent and practice thought leadership.

The role involves designing, implementing, and delivering AI/ML solutions, developing machine learning models for scientific tasks, and collaborating with experts for data processes.

Design, build, and maintain full-stack web applications using React and .NET Core. Collaborate with data science, product, and design to deliver scalable cloud solutions, APIs, and UI prototypes. Contribute across discovery, delivery, QA, DevOps, and CI, applying SOLID principles and automated testing.

As a Technical Lead, you will guide software engineering teams, translate client requirements into applications, ensure best practices, and shape technical direction while mentoring team members.

The role involves designing scalable data pipelines for 3D, video, and sensor data, optimizing infrastructure, and productionizing ML models with researchers.

The Site Reliability Technical Lead will oversee system design, enhance platform reliability, manage incidents, drive automation, and mentor engineers to ensure scalable and secure solutions.