Top Python Jobs in London

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.

Join a Machine Learning team to build deep learning models for trading strategies, collaborating with researchers and traders in a dynamic environment.

As a Quant Developer, you will enhance the research framework and support quantitative research teams, optimizing trading tools and systems.

As a Quant Developer, improve research frameworks, develop tools for trading strategies, and support the quantitative research team on-site.

Lead and build Alto's data science capability: define roadmap, develop and productionise predictive models (churn, propensity, forecasting), run experiments, create segmentation and scoring, surface insights via ThoughtSpot, collaborate with engineering and commercial teams, and hire/mentor a data science team.

The job involves designing and managing automated identity and access management processes, implementing integrations, and ensuring security compliance. Responsibilities include lifecycle management, application integration, platform enhancement, and continuous improvement of IAM capabilities.

Develop intelligent agents for a materials discovery engine, orchestrating scientific workflows and integrating experimental design for sustainability solutions.

Optimize large-model inference at scale: improve throughput, reduce latency and cost per token, build benchmarking harnesses, tune parallelism and quantization strategies, implement load-balancing in routing, and evaluate custom kernels and emerging inference hardware.

Lead controls-related service activities for BESS operational projects: ensure control system performance, grid-code compliance, software/firmware lifecycle, RCAs, upgrades, and continuous improvement to maximize reliability and customer satisfaction.

Design, integrate, and support SCADA and OT networks for battery energy storage systems across EMEA. Lead system architecture, testing, troubleshooting, documentation, and customer technical interfaces. Monitor performance, drive root-cause analyses and continuous improvements, and support upgrades, lab testing, and field service activities with occasional travel.

Lead front-office production support for a trading platform: act as primary escalation for complex incidents, mentor junior engineers, drive automation and cloud migration, manage client migrations and customisations, troubleshoot FIX, databases, networking and OMS integrations, and improve operational processes and incident management.

Lead end-to-end deployments of generative AI solutions embedded with business teams: discovery, scoping, architecture, build, and production rollout. Develop LLM-powered applications, write production-grade frontend and backend code, feed field insights into the central AI platform, and drive adoption through measurement and stakeholder communication.

Lead pricing-focused data science work: design and analyse experiments, build predictive pricing models and monitoring systems, present insights to stakeholders, and manage and develop senior data scientists to drive pricing optimisation across brands.

Lead end-to-end ad campaign measurement studies across EMEA, manage multiple research projects, translate data into actionable insights, build partner relationships, drive product adoption, and improve regional measurement processes and benchmarks.

Design, build, and maintain cloud-native backend services for index data processing. Write production-ready Python, deploy and operate services on AWS, use Infrastructure as Code, and monitor/debug systems with observability tools like Prometheus and Loki. Collaborate with product, research, and engineering teams.

Design, build, and maintain performant PostgreSQL datastores, scalable data pipelines, and production-ready Python HTTP APIs. Implement automated testing, ensure data quality, and work with researchers and clients to deliver data features for financial analysis.

Design, train, and deploy reinforcement learning policies for humanoid dynamic locomotion and loco-manipulation. Build scalable simulation and training pipelines, design rewards/observations/curricula, improve sim-to-real transfer, and integrate learned policies into the robot control stack with iterative hardware experiments.

Develop, backtest, operationalise and trade American Football quantitative strategies (pre-match and in-play). Set and adjust pricing, monitor models live, manage risk, collaborate with quants and engineers, and support data acquisition and cleaning.

Lead a 3-5 person Product Infrastructure team to design and scale ingestion pipelines, migrate batch to real-time streaming, optimize PostgreSQL and Kubernetes-based infrastructure on AWS, integrate AI/ML into data workflows, and improve observability and incident automation using ClickHouse and Grafana while aligning technical roadmaps with product stakeholders.

Lead and operate Humanoid's corporate IT environment: manage endpoints, identity, networking, and cyber defenses (EDR/SIEM/vulnerability management). Oversee device lifecycle, MAM/SSO/MFA, vendor contracts, connectivity for offices/labs, and enforce policies and recovery procedures aligned with ISO27001/SOC2/GDPR. Monitor IT/security health, report risks to IT leadership, and feed improvements into the IT roadmap.