Top Python Jobs in London

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#.

The Data Scientist will lead client projects, utilize data science techniques, and manage stakeholder relationships while developing scalable models. Strong communication and problem-solving skills are essential, focusing on innovation and collaboration.

As a Data Engineer, you'll develop data pipelines, manage data integration and transformation, and support analytics and intelligence projects for government clients.

Design, build, and productionise large-scale optimisation models and bespoke solvers for last-mile scheduling, assignment and pricing. Translate operational requirements into mathematical programming and heuristic solutions, benchmark and monitor performance, and work cross-functionally with engineering and analytics to deploy and evolve automated decision systems.

Own day-to-day IT across London offices and cloud: administer SaaS apps, automate tasks with AI, provide 2nd-line support, manage laptops/AV/printers, and assist onboarding/offboarding. Collaborate with IT and engineering to operate and scale the environment.

Develop and optimize CUDA kernels and GPU-accelerated software for latency-sensitive, high-throughput workloads. Profile and tune GPU performance, scale multi-GPU/multi-node systems, build tooling to correlate GPU utilization with real-time energy/grid signals, collaborate with infrastructure and ML teams, and contribute to libraries and best practices for GPU performance in data center environments.

The Senior Data Platform Engineer will lead the development of scalable Snowflake services, automation, CI/CD pipeline design, and security controls to optimize data-driven healthcare projects.

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

Lead and grow a team of ML scientists to build and productionise credit underwriting, pricing, limits, and lifecycle models. Define Borrowing's ML roadmap for UK growth, new segments, and EU expansion, improve feature engineering and data use, and raise standards for model quality, governance, and iteration speed.

Quantitative Researchers analyze data sets, identify patterns, and develop predictive trading models while collaborating with various stakeholders in trading strategies.

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.

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

As a Software Engineer on the Safeguards team, you will build systems for monitoring AI models to promote safety and prevent misuse, ensuring oversight and user well-being.

The Site Reliability Engineer will ensure system reliability and performance by implementing monitoring solutions and optimizing incident management, collaborating with cross-functional teams to enhance operational efficiency.

The Platform Engineer will design and implement cloud infrastructure and tooling for ECM applications, focusing on reliability and efficiency in a collaborative engineering team.

Design, build, monitor, and automate cloud infrastructure to ensure reliable, scalable payments and card systems. Implement SLIs/SLOs, maintain IaC, optimize pipelines, support CI/CD, lead incident response, and collaborate with product and platform teams to reduce toil and improve visibility.

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.

Build and ship scalable financial platform features for insurance and lending products. Design integrations for underwriting, risk scoring, payments and loan servicing. Lead technical projects, improve developer experience, and collaborate cross-functionally to deliver customer and business outcomes.

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.

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.

The Data Engineer will analyze, clean, and manage various datasets to assist traders at Jane Street, automating ETL processes and ensuring data quality.

Software Engineers at Jane Street engage in collaborative technology-driven work, using functional programming with OCaml and Python for various business problems.