Top Python Jobs in London

The Lead Data Engineer will develop and maintain a data platform, create data pipelines, ensure infrastructure support, and provide governance for stakeholders' data needs.

Design, deploy, and operate lossless RDMA-capable leaf-spine fabrics for multi-tenant GPU clusters. Automate provisioning, build telemetry/observability, troubleshoot end-to-end performance, manage out-of-band and office networks, support tenant onboarding, and document designs while upskilling colleagues.

10-week on-site Data Science internship in London supporting data discovery, enrichment and analysis for quantitative research. Tasks include data blending, statistical analysis, exploratory data analysis, visualization, building tooling, and collaborating with data scientists to scale and automate data processes.

10-week summer ML research internship based in Central London. Work on a supervised research project using advanced ML methods, mentored by senior researchers, with access to large compute, culminating in a final presentation. Top performers considered for full-time roles.

10-week London-based summer research internship applying mathematical modelling, ML/deep learning, optimisation and back-testing to extract predictive signals from financial time-series. Interns complete an independent research project with mentorship, present findings to senior management, and may be considered for full-time roles.

Own large-scale LLM inference performance: profile, benchmark and optimise inference workloads across GPU architectures; design and implement inference optimisations, reference implementations and tooling; collaborate with researchers and platform teams to deploy efficient, cost-effective NLP solutions.

The Senior Platform Engineer will develop and scale cloud infrastructure, manage daily operations across cloud and on-premises, implement security practices, and improve processes within a diverse and collaborative team.

The Director of Colleague Data Science & Analytics will lead the global HR analytics function, driving innovative solutions to support decision-making and enhance the colleague experience.

Design and implement Python testing frameworks, conduct ETL testing, and collaborate in a CI/CD environment focusing on cloud-based data platforms.

As a Cloud Engineer, you will manage cloud infrastructures, leverage serverless services, integrate with third-party solutions, and ensure security best practices while working in an Agile team.

The Data Engineer will implement cloud-native data platforms, engineer scalable pipelines, and optimize cloud resources using Python and SQL, while applying agile methodologies and cloud automation tools.

As a Senior Data Analyst, you will gather and document business requirements, manage stakeholders, analyze complex datasets, and create data models and dashboards.

As a Senior Python Engineer, you'll design and build the core infrastructure for AI forecasting systems, integrating data ingestion and reasoning mechanisms while contributing to technical strategy and team growth.

Lead the Trading Anti‑Fraud team to detect, investigate, and prevent trading fraud across products and regions. Enhance monitoring rules, manage alerts and cases, collaborate with Trading/Risk/Product/Compliance, and provide strategic reporting and recommendations to senior leadership to reduce fraud losses and improve controls.

As a Software Engineer at Wexler, you'll architect and build full-stack applications, develop features, collaborate with AI engineers, and contribute to technical decisions while working in a fast-paced startup environment.

Design and deliver statistical, probabilistic and simulation models to support decision-making. Translate business questions into deployable analytical solutions, quantify uncertainty, validate and monitor models, and partner with engineering, product and business teams to productionise models and define operational requirements.

Join the Financial Engineering team to develop innovative reporting solutions, enhance existing systems, support clients, and contribute to new initiatives.

Partner with Product and Engineering to define metrics, run root-cause analyses and experiments, build tracking, reporting, and automated alerts, model data in dbt/BigQuery, scale AI-assisted analytics for self-serve, and communicate insights to drive product and business decisions.

Analyze, process and present portfolio financial data; support investment memorandums and valuations across jurisdictions; build and maintain analysis models/tools; ensure high-quality outputs, stakeholder communication, deadline adherence, and provide team support.

Own end-to-end solution design for strategic EMEA/APAC customers on the Ataccama ONE platform. Translate business requirements into scalable architectures, guide presales POCs, support customer success, produce reusable best practices, and partner with Product and Engineering to align designs with roadmap and releases.

As a Technical Support Engineer, you will provide Level 2 support, troubleshoot F5 products, communicate with customers, and collaborate with engineering teams.

Lead behavioural economics engagements delivering research, experiments and interventions for litigation, regulation, and commercial clients. Translate empirical findings into actionable recommendations for senior stakeholders, develop tools and thought leadership, support business development, and mentor junior staff while collaborating across multidisciplinary teams.

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

Design, train, and deploy computer vision models and classical CV pipelines from raw video ingestion to production inference. Build geometric vision solutions (camera calibration, homography), optimize inference (TensorRT/ONNX Runtime), containerize Python microservices (Docker), support cross-platform desktop integration via ONNX Runtime C++ APIs, and develop automated data-curation pipelines to version and pre-label high-throughput datasets.

Deliver and support healthcare system integrations across the full project lifecycle, including discovery, design, interface development, testing, deployment, go-live, documentation, and operational handover. Develop healthcare interfaces using Mirth Connect and standards such as HL7 v2, REST, JSON, and XML. Diagnose integration issues using logs, code, databases, APIs, and configuration. Collaborate with customers, project teams, suppliers, and internal stakeholders while contributing to reusable integration patterns, code-first practices, peer reviews, and support activities.