Top Python Jobs in London

Entry-level data engineer to follow a structured 12-month development programme. Build internal reporting, reusable engineering frameworks, documentation, and tooling while learning SQL, Python, Databricks and cloud data services. Support senior engineers, join code reviews, shadow customer workshops, and progressively contribute to client projects.

Lead mobile QA across iOS and Android: define test plans, run functional/exploratory/regression/UI/UX and E2E API tests on real devices and emulators, build and maintain UI+API automation integrated with CI/CD, support store releases and crash monitoring, collaborate with product and engineering, and track QA metrics.

Conduct advanced OSINT and data mining across the surface and deep web to analyze mobile threats. Monitor forums, messaging channels, and dark web communities; extract large datasets; apply statistical, scripting, and AI techniques; translate findings into technical intelligence reports and actionable detection/enforcement recommendations; collaborate with technical teams to automate data collection and build lightweight tools.

Design and document market-data workflows, integrations, and data pipelines for risk analytics. Translate business needs into specifications, data mappings, user stories, and test plans. Investigate data issues using SQL/Python, support UAT and releases, and improve controls, monitoring, automation, and operational processes across Market Data and Integration.

As a Senior AI Engineer, you'll develop multi-agent systems and LLM applications, mentoring junior engineers and driving AI platform strategy across cloud environments.

Lead design and development of internal and customer-facing systems across underwriting, claims, finance, and compliance. Own backend services, APIs, and scalable infrastructure; drive architecture, deployment, reliability, and performance; automate workflows with product and operations partners; mentor engineers and set engineering best practices.

Lead statistical strategy and delivery for Phase I-IV clinical trials embedded with a pharmaceutical sponsor. Design analyses, support protocol and reporting activities, oversee programming/CRO work, apply SAS/R (R Shiny)/Python and ML/DL methods for analyses and automation, and mentor junior statisticians.

Lead product marketing for Ultralytics' AI/computer vision products: own positioning, messaging, and GTM launches; create developer-facing content and sales enablement; partner with engineering, product, growth, and community to drive adoption and measurable outcomes.

Develop and scale LLM-powered applications and RAG systems, integrate multi-API workflows, design vector storage and data pipelines, fine-tune LLMs, collaborate on multi-modal computer vision projects, and automate CI/CD for deployment and testing.

The Operations Associate/Senior Associate will manage trade confirmations, settlements, and operational processes for a multi-asset investment platform, requiring strong technical skills and attention to detail.

The Operations Analyst will optimize operations at Helical, focusing on AI workflows, automation, finance support, and vendor negotiation, while enhancing employee onboarding and scaling processes.

Architect, design and deliver production-grade AI solutions using ML, generative and agentic AI. Lead technical delivery, implement RAG/prompt engineering, ensure responsible AI, drive cloud-native, scalable architectures, mentor and manage junior engineers, and collaborate with clients to translate business needs.

Lead and deliver carbon accounting, net-zero and climate risk projects (Scope 1-3). Support strategy growth, client origination, project management, data analysis, reporting (SBTi, CDP, SECR), and process improvement while building client and industry relationships.

The Lead Physical Design Engineer will implement complex IC designs, collaborating across teams to optimize performance, power, and area while ensuring manufacturability and design integrity.

Lead quantitative research and index methodology design for equity and multi-asset strategies. Drive independent research, translate models into production with Engineering, build analytics and AI-enabled research infrastructure, support client engagements and business development, mentor team members, and contribute to strategic direction and product innovation.

Build end-to-end web features, automate operational workflows, create internal tools and integrations (Airbnb, Stripe, Twilio, OpenAI), deploy AI-powered capabilities, and scale a reliable platform while working closely with founders and operations.

Build and architect Base360.ai: design and launch booking, pricing, payments, operations, and AI-powered automation. Integrate platforms (Airbnb, Stripe, Twilio, OpenAI), scale systems internationally, and embed AI workflows to automate operations and optimize revenue.

Hands-on lead responsible for designing, building, and scaling Base360.ai. Architect scalable systems, drive engineering standards, mentor engineers, implement AI/LLM workflows, build integrations (Airbnb, Stripe, Twilio), and automate operations to improve guest experience and operational efficiency.

Embed with customers to define problems, build and ship production systems on Luma's APIs and models, maintain deployed solutions, and surface productizable patterns to R&D and platform teams. Work across the full stack and own projects end-to-end.

As a Junior Software Engineer, support development and reliability of Fogsphere’s AI platform, focusing on Python, JavaScript, CI/CD, and infrastructure reliability.

Work across modeling, data, systems, and evaluation to make video foundation models expressive, controllable, and personalized. Build adaptation and personalization pipelines, define end-user quality metrics and evaluations, and collaborate with product and design to deploy production-ready model variants for creative partners.

Lead technical onboarding of enterprise clients across Europe: map client data and business rules, design ingestion and integration layers, handle localisation and regulatory complexity, document reusable patterns, feed product feedback, and use LLM tooling to accelerate integration.

The role involves building and maintaining ML and cloud infrastructure for training large-scale generative models. Responsibilities include designing GPU clusters, supporting distributed training, managing storage systems, and collaborating with researchers and engineers.

Develop and maintain front-end and back-end AI-enabled web and desktop applications. Collaborate with cross-functional teams to design features, optimize scalability and security, troubleshoot defects, participate in code reviews, and implement AI assistant technology integrated with enterprise systems.

Design and own the Exchange identity platform and API gateway: implement Auth0 tenant architecture, enforce OAuth/OIDC/SAML flows, build ReBAC-based authorization (OpenFGA/SpiceDB/Ory Keto), manage AWS identity infra, secure API gateways (rate limiting, mTLS, token validation), lead publisher and demand-side integrations, set identity/API security standards, and mentor engineers.