Top Python Jobs in London

Own and improve data quality, coverage, and methodologies for dirty petroleum products. Lead investigations, validation, ingestion, and backtesting. Coordinate with Product, Engineering, and Commercial teams, mentor junior analysts, and drive initiatives to enhance data granularity and accuracy across flows and geographies.

Lead technical pre-sales for DACH customers: qualify opportunities, design architectures, run demos and POCs, respond to RFPs, guide API integrations, mentor junior presales engineers, and drive the technical win while building customer trust.

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.

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.

Lead FIX client onboarding and integrations across FX, equities, and digital assets. Manage projects from requirements through certification and production go-live; configure, test and validate FIX sessions; troubleshoot connectivity and production issues; provide frontline EMEA technical support; document procedures and collaborate with engineering, product, and account teams while using AI/automation to streamline processes.

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.

Lead marketing analytics strategy and team to build measurement frameworks, attribution and experimentation, improve marketing ROI, and evolve data infrastructure for Product, Hardware, Store and Services. Partner across Marketing, Product, Finance and Data to deliver insights, optimize owned and earned channels, and present recommendations to executives.

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.

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 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.

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.

Design, build and deploy agentic AI features and LLM-driven systems for secure, compliant environments. Integrate AI across backend and UI, optimise models (including perception/CLIP/CLAP), document for compliance, and deliver robust production solutions.

Analyze credit and portfolio data to support and improve credit models, monitor portfolio performance, investigate drivers of change, build tooling and monitoring, and support product launches and policy adaptations.

Manage the lifecycle of sustainable finance products: lead cross-functional product development, monitor performance and sustainability metrics, engage institutional clients and stakeholders, support sales/marketing, drive market research and thought leadership, and guide product specialists to deliver investment solutions aligned with regulatory and market trends.

Lead end-to-end ML and GenAI initiatives across a two-sided marketplace: frame problems, build and deploy production models (ML and LLM), measure commercial impact, run experiments, monitor models, and mentor junior team members while partnering cross-functionally.

Analyze large-scale conversational and interaction data to identify intent, failure modes, and successful patterns; build semantic frameworks, predictive models, and evaluation metrics; run experiments, inform product roadmap, and create dashboards and pipelines to drive adoption, retention, and cost efficiency while mentoring analysts.

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.

Lead and manage competition economics projects, conduct antitrust analyses, produce clear written reports, manage client relationships, coach team members, and support business development and resource allocation.

Lead design, build and maintain data infrastructure, ETL and APIs to support economists. Migrate on-prem tooling to cloud-native platforms, improve deployment tooling, review code, mentor junior engineers and optimize production services and algorithms.

Perform econometric and statistical analysis of alleged financial misconduct, manage and process large datasets, write clear technical reports, present findings to clients, and support business development and market-monitoring activities.

Manage securities and financial litigation projects using econometric and statistical techniques. Lead quantitative analyses of market manipulation, deliver reports and presentations, manage client engagements, mentor team members, and support business development.

Lead end-to-end product development for biology-focused foundation models: design, build, test, and operate back-end services, APIs, SDK integrations, and front-end interfaces; set technical direction, mentor engineers, collaborate with R&D, and adopt AI-assisted development workflows.

Lead clinical data harmonization for the STELA program: map partner clinical sources to ontologies, design data dictionaries and QC pipelines, write reproducible Python code to clean and validate multimodal clinical datasets, and collaborate with external hospitals/CROs to standardize data for AI model training, with emphasis on oncology and immunology.

Own and scale operational lifecycle of biomedical data partnerships: manage secure cloud data transfers, harmonize multi-omics and clinical metadata, maintain ingestion/QC pipelines, build tracking dashboards, coordinate partners and cross-functional teams, and conduct periodic site visits to ensure data integrity and governance.

Build and maintain scalable MLOps infrastructure and CI/CD for ML and generative AI. Implement experiment tracking, model versioning, deployment, monitoring, IaC, containerized workloads, and production lifecycle management. Collaborate with data scientists and engineers to productionize, monitor, retrain, and govern models in cloud-native environments.