Top Python Jobs in London

Embed with top enterprise accounts to deliver end-to-end production deployments of an agentic AI platform, building bespoke integrations, data pipelines and workflows, leading POCs, mentoring FDEs, and translating customer needs into product and engineering outcomes.

Design, develop, and maintain scalable Python backend systems and APIs. Lead end-to-end development, optimize performance, participate in architecture decisions, conduct code reviews, resolve production issues, and mentor junior engineers.

Design and build scalable Python backends and APIs, integrate and deploy LLM-powered applications (chatbots, summarization, semantic search), optimize model performance and costs, develop data pipelines for training and inference, ensure code quality and CI/CD, collaborate cross-functionally, and mentor junior engineers.

Lead a team of analytics engineers to deliver AI-enabled commercial data products on the LEGO Data Platform (Databricks). Define roadmap, enforce CI/CD and data quality, drive Unity Catalog governance, partner with commercial stakeholders, coach the team, and ensure scalable, compliant data accessibility for downstream analytics and AI use cases.

Build and maintain real-time and batch data pipelines, consolidate data into data lakes/warehouses, implement ETL/ELT and data modeling best practices, develop transformations and notebooks, create interactive reports, and collaborate with engineers on data quality, testing, validation, and documentation.

Develop and implement machine learning and statistical solutions for product assortment and insight automation. Perform exploratory data analysis, model validation, and prototype science modules using Python, Spark and ML libraries. Present results, follow QA and coding standards, and collaborate with engineering, product and client teams.

Lead architectural design and engineering build-out of company-wide MLOps and agentic AI platforms. Develop and productionize ML/LLM models, RAG, multi-agent systems, and GNNs; implement training, evaluation, serving, feature/vector stores, monitoring, and CI/CD; set engineering standards; collaborate with data science and senior stakeholders; represent company externally.

Lead development and expansion of capital models, automate data workflows, monitor underwriting performance, build interactive dashboards and AI-powered competitor intelligence to inform pricing and underwriting decisions.

Serve as a strategic data-science advisor to senior marketing leaders: translate business problems into data science solutions, build and deploy statistical and ML models, design experiments/causal analyses, synthesize insights with market intelligence, and present executive-level recommendations to embed a test-and-learn culture.

Develop and maintain pricing and risk models for complex derivatives and structured products in energy markets. Deliver quantitative analysis to support trading and origination, implement model library enhancements, and collaborate across locations to identify synergies and improve hedging and risk decisions.

Support Solvency II partial internal model and regulatory capital reporting. Run and validate capital models, develop GLMs and forecasting tools, perform stress testing, contribute to ORSA and Actuarial Function Report, and liaise with PRA compliance and non-technical stakeholders.

Provide frontline IT support for macOS and Windows users, troubleshoot Google Workspace, Okta, Microsoft 365 and MDM issues, manage employee IT lifecycle (provisioning/offboarding), maintain asset inventory, drive process improvements and documentation, and support AI tool governance and identity/security integration.

Design, build, and own tools, automated analysis pipelines, and test infrastructure to validate PlayStation SDK audio. Write C/C++ and Python code for signal analysis, regression detection, perceptual metrics, CI integration, dashboards, and debugging. Collaborate with Audio SDK and platform teams, define testability, mentor engineers, and support release quality through reproducible, maintainable audio quality systems.

Provide advanced analytics and BI consultancy to clients: capture requirements, design data models and ETL, build bespoke BI and analytics solutions, implement data management best practices, and design reports/dashboards to deliver actionable insights on time and on budget.

Lead and deliver specialist transport planning and development projects, providing policy, strategy, econometric, geospatial and traffic modelling advice to public and private clients. Manage project teams, bids, client relationships and commercial decisions. Communicate complex analysis clearly, support business development, and mentor junior staff (Principal level).

Design, build, and operate production-grade agentic AI and LLM-powered features and RAG pipelines over sensitive financial data. Collaborate with product and design, contribute shared AI infrastructure (LLM services, orchestration, evaluation), and own reliability, security, auditability, and compliance in production.

Build and ship production-grade agentic AI systems and LLM-powered features. Architect RAG pipelines over sensitive financial data, contribute shared AI infrastructure, own production reliability and safety, and collaborate with product and design to deliver customer-focused outcomes in a regulated environment.

Build and operate production agentic AI systems and LLM-powered features. Implement RAG pipelines, extend shared AI infrastructure, monitor and debug production models, and collaborate with product and design to deliver secure, reliable AI capabilities in a regulated financial environment.

Design and deliver production-ready AI, NLP, and generative-AI solutions (including LLMs and RAG) for knowledge discovery. Build retrieval, ranking, recommendation, and decision-support systems, integrate scientific metadata and ontologies, establish evaluation and monitoring, write production Python code, and provide technical leadership and mentoring.

The Junior Penetration Tester Internship at EncryptEdge Labs offers hands-on experience in ethical hacking and vulnerability assessment, covering techniques like reconnaissance and web application security, alongside supportive mentorship.

Lead end-to-end deployment and adaptation of LLM-based systems in humanitarian program contexts. Configure prompts, workflows, and integrations; test and red-team for safety; collect user feedback; train field teams; iterate on deployments; translate field insights into product improvements and reusable deployment frameworks to scale impact.

Develop end-to-end data science solutions and predictive/prescriptive models using statistical and machine learning techniques. Work with large and third-party datasets, LLMs, and GCP, collaborate with data engineers and business stakeholders, communicate analytical insights, and help mature analytics practices across underwriting, pricing and other business functions.

Join the Total Returns team to research, develop and implement systematic investment and portfolio construction strategies. Collaborate with Trading, Operations and Technology to manage strategies, translate research into trades, perform model diagnostics and performance reviews, and incorporate academic/industry ideas into products. Produce clear technical reports and support strategy development and robustness checks using data-driven methods.

The Staff Software Engineer will design and implement a modern cloud-native healthcare platform using Elixir, enhancing access control, system reliability, and workflow efficiency.

As a DevOps Engineer at Arondite, you will own and evolve the internal developer platform, implement CI/CD practices, manage tooling, and enhance security while ensuring robust software delivery.