Top Python Jobs in London

Seeking a Data Consultant for innovative data-driven solutions across sectors like rail and energy, focusing on stakeholder engagement and technical project delivery.

As a QA Engineer, you will design and automate tests to ensure the reliability and performance of Fogsphere's AI platform, collaborating with engineering teams throughout the development lifecycle.

The Computer Vision Engineer will design, train, and optimize deep learning models for computer vision, manage data pipelines, and deploy solutions in production environments.

Lead research, development, deployment and real-time management of systematic high- or mid-frequency crypto trading strategies. Own a dedicated P&L-driven risk book, manage position sizing, exposures, drawdowns and capital allocation, optimise models and execution, analyse large-scale time-series data, and communicate performance and risk to stakeholders while collaborating with execution and infrastructure teams.

The Product Specialist will help define and test features, gather customer feedback, deliver onboarding, and write support content while using technical skills with Revit, Python, and C#.

We are seeking an experienced Software Engineer to join our growing technology team focusing on Defence and Cyber Security projects.

Join Uncountable's Implementations Engineering team to build software that integrates R&D lab instruments with their platform, working closely with customers and developing automated data pipelines.

Uncountable is seeking a Full-Stack Intern to work on database architecture and user interface development for a software platform, aimed at improving industrial R&D.

Uncountable seeks a Platform Engineer focused on Generative AI to develop AI-powered tools for scientific R&D, requiring fullstack development skills and a passion for advancing user needs.

Develop the Uncountable Web Platform for scientists to upload and analyze experiments, involving both front-end and back-end work.

As an ML Solution Consultant, you'll guide R&D teams in using ML tools, ensuring effective data structuring, and maximizing the value of scientific data.

Design and build LLM infrastructure and AI features for the Uncountable Web Platform, optimizing data pipelines and user interfaces for scientists.

As a Senior Machine Learning Engineer, you will lead the development of AI systems, design production-grade ML software, and mentor junior engineers while engaging with clients on technical strategies.

Lead design, build and deploy production-grade ML systems and infrastructure. Make architecture decisions, implement best practices for ML at scale, advise clients, collaborate cross-functionally, and mentor junior engineers while meeting operational and ethical standards.

Design and deploy AI-powered pricing models for emerging market fixed income products, collaborating with traders and validating model accuracy. Conduct backtesting and maintain real-time pricing engines.

As a Data Software Engineer, you will enhance reference data products, establish technical direction, and ensure data quality and compliance within trading systems.

The IT Project Tech Lead oversees Jira Cloud migration, manages complex projects, ensures compliance, and liaises with technology leadership, delivering governance and reporting.

Develop and implement reliability features, improve system performance, provide L2 support, and create automation tools for operational stability.

As a Lab Informatics Engineer, you'll implement and optimize lab informatics systems, partner with scientists to create digital solutions, and enhance data interoperability.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

Contract AI Engineer to build an enterprise AI capability: design agentic workflows and Copilot extensions across Microsoft 365 and Salesforce, build production-ready agent solutions (connectors, monitoring, cost controls), translate sales methodology into real-time coaching and CRM insights, and collaborate with GTM leadership to drive behaviour change. Hybrid role in London for 4-6 months (3-4 days/week).

The Platform Engineer will develop internal platform capabilities to enhance engineering team efficiency while ensuring security, reliability, and operational control, focusing on automation and user experience.

Design and develop Java and Python applications, lead projects, and mentor junior developers. Ensure robust application testing and support production issues.

Lead design and maintenance of learner-centric investment education content across CFA Institute products. Translate real-world investment practice into study materials, collaborate with SMEs and cross-functional teams, manage external authors and review cycles, and ensure curriculum alignment, accuracy, accessibility and timely delivery.

Responsible for leading quality assurance across underwriting lines, improving testing strategies with automation, and mentoring QA teams to enhance delivery quality and efficiency.