Top Python Jobs in London

Build and maintain data ingestion processes, APIs, data models, databases, and scalable pipelines using Python, Azure Data Factory, and Databricks. Automate analysis and reporting, support Power BI model migration, maintain data governance, troubleshoot issues, and collaborate with technical and business stakeholders. Provide user training, develop proof of concepts, and support carbon reporting and ecological transformation initiatives.

Secure Docebo’s AWS cloud infrastructure across architecture, IAM, Kubernetes, IaC, CI/CD, detection, vulnerability management, and compliance. Lead cloud incident response, threat monitoring, root cause analysis, and post-mortems while participating in an after-hours on-call rotation. Develop security guardrails, automate controls, manage vendors, and guide engineering teams on cloud security best practices across AWS and multi-cloud environments.

Build and own data foundations for multimodal agent research, including collection, curation, preprocessing, quality validation, versioning, storage, retrieval, and delivery into training pipelines. Collaborate with research scientists on dataset specifications, evaluation benchmarks, annotation workflows, synthetic data, and preference data. Improve pipeline reliability, testing, documentation, and engineering practices while identifying data bottlenecks affecting research velocity.

Own end-to-end training of vision-language-action and world-action robot policies, from dataset curation and model architecture through distributed training, evaluation, and deployment. Responsibilities include adapting VLM backbones for control, designing action representations, reducing the sim-to-real gap, building action-conditioned world models, and applying supervised fine-tuning and reinforcement learning. The role also contributes to technical direction for embodied AI research.

Research Scientist developing robust 3D reconstruction systems using multi-view geometry, SfM, SLAM, bundle adjustment, deep multi-view stereo, learned matching, and monocular depth. Responsibilities include designing pose estimators and reconstructors, scaling methods to real-world datasets, evaluating accuracy and quality, integrating state-of-the-art models, and collaborating on production deployment. Requires advanced computer vision research expertise, Python and PyTorch proficiency, and practical experience with COLMAP, ORB-SLAM, and Ceres.

Leads a regional Solutions Engineering team supporting presales activities, proof-of-concept execution, customer engagements, recruiting, onboarding, performance management, and technical enablement. Partners with sales, marketing, recruiting, and global go-to-market teams while mentoring engineers and contributing hands-on technical expertise to customer engagements and distributed-systems testing initiatives.

Conduct rigorous carbon project assessments using quantitative and qualitative research (documentation, literature, modelling, time series, geospatial data). Deliver data insights, improve assessment frameworks and tooling, uphold QA, and collaborate with product, data, tech and commercial teams to provide robust, customer-focused carbon ratings.

Build and maintain on-device LLM software that transforms live neuromonitoring signals into actionable clinical insights. Responsibilities include AI integration, model evaluation, prompting, guardrails, inference optimization, medical device software development, cybersecurity and regulatory compliance, and fleet reliability. The role requires close collaboration with hardware, product, and clinical teams while ensuring safe, reliable performance on constrained hardware.

Build and post-process CFD models, including geometry cleanup, meshing, simulation, and results analysis. Support parametric CAD, workflow automation, design optimization, and simulation dataset generation for machine learning models. Collaborate with data scientists, machine learning engineers, and customers, using cloud and HPC resources. Prepare customer presentations, apply engineering best practices, and travel occasionally for customer engagements.

Build production software that provisions and manages GPU hosts and inference clusters through their full lifecycle. Design declarative APIs, control planes, state machines, reconciliation loops, durable workflows, event-driven automation, and self-healing systems. Partner with inference and ML platform teams to encode cluster requirements, while owning reliability, testing, deployment, and production operations.

Develop and apply sequence‑modelling ML techniques to DNA to interpret variants, discover genes, and model regulation. Train, fine‑tune and evaluate models, collaborate with computational and experimental teams, leverage large-scale datasets, design robust biological evaluations, and integrate ML advances into translational target discovery.

The role involves supporting enterprise sales by serving as a technical resource, managing technology evaluations, and ensuring customer satisfaction in large enterprise accounts.

Designs, integrates, and tests guidance, navigation, and control software for autonomous aerial UAS platforms. Develops C++ autonomy algorithms, control systems, path planning, and 3DoF/6DoF vehicle models; performs simulation, flight testing, data analysis, and deployment onto OEM hardware. Collaborates with vendors and cross-functional teams to create reusable autonomy capabilities for defense missions.

Provides technical pre-sales and post-sale support for maritime autonomy solutions across EMEA. Acts as a bridge between defense customers and engineering teams, scopes technical solutions, leads architecture reviews and demonstrations, supports deployments, and onboards customer engineering teams to a code-first toolchain. The role requires maritime-sector experience, customer-facing software and vehicle-systems expertise, programming skills, and UK security clearance or eligibility.

Support pre-sales and customer adoption for Applied Intuition’s Air portfolio across UK and European defense customers. Serve as the technical bridge between customers and internal engineering and product teams, leading architecture reviews, technical discussions, demonstrations, deployments, and SDK integrations. Help customer engineering teams adopt the developer toolchain and integrate it with existing infrastructure.

Provide technical pre-sales and post-sale support for defense customers adopting autonomous systems. Act as the liaison between customers and engineering teams, lead architecture reviews, demonstrations, deployments, and customer engagements, and onboard engineering teams to Applied Intuition’s SDK and products. The role requires customer-facing technical consulting, software and vehicle systems knowledge, project management, programming skills, and UK security clearance or eligibility.

Serve as the technical sales partner for prospects and customers, leading discovery, qualification, tailored demonstrations, solution design, technical validation, deal shaping, trial support, and post-sale handoffs. Partner with Account Executives and Product teams while translating customer GRC requirements into feasible solutions using cloud platforms, operating systems, scripting, and integrations. The role requires strong communication, customer empathy, project management, and experience with B2B SaaS, cybersecurity, GRC, or audit environments.

Serve as a customer-facing technical partner in pre-sales, leading discovery, solution validation, tailored demonstrations, integration assessment, deal strategy, trial support, and post-sale handoffs. Demonstrate how Vanta automates GRC programs across SOC 2, ISO 27001, and HIPAA frameworks. Collaborate with Account Executives, customers, Product, and post-sales teams while providing market feedback and shaping solutions.

Build, ship, and maintain production data science models for attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Independently select modelling approaches, debug code, collaborate with QA, communicate with clients as a modelling expert, use AI tooling and automation, and mentor junior colleagues.

Develop and maintain data science models for marketing measurement products, including attribution, forecasting, optimization, and experimentation. Own analytical investigations, model backtesting, production bug fixes, and pipeline work. Write and review Python and SQL production code, debug unfamiliar repositories, use AWS and QA tooling, and communicate findings to clients and colleagues. The role also involves applying machine learning methods, reviewing AI-assisted code, clarifying requirements, and progressively taking ownership of technical areas.

Manage client portfolio relationships for systematic investment strategies, representing investment offerings to investors and explaining complex quantitative concepts. Responsibilities include quantitative and qualitative analysis, responding to technical client questions, collaborating with research, sales, marketing, legal, compliance, and middle-office teams, and leading innovative projects from planning through delivery. The role also supports proposals by analyzing client objectives and requirements.

Own data science and analytics for the Shipping team, analyzing buyer and seller behavior, delivery performance, carrier economics, and product outcomes. Design and evaluate A/B tests, build dashboards and scalable datasets, debug data issues, and provide strategic recommendations. Partner with product, operations, engineering, platform, and machine learning teams to improve shipping strategy, experimentation, and data-driven decision-making.

Own post-sale technical relationships for enterprise customers across onboarding, implementation, adoption, renewals, and expansion. Lead project plans, integrations, troubleshooting, escalations, product walkthroughs, documentation, and customer advocacy. Collaborate with sales, product, and engineering while building the UK technical account management function. The role requires strong SaaS, cloud, API, AI-agent, security, and governance fluency, plus excellent communication and customer relationship skills.

Manage client project delivery, satisfaction, relationships, and growth initiatives within a marketing effectiveness consultancy. Interpret analytics insights for nontechnical clients, oversee statements of work and risks, support budgeting and profitability analysis, coordinate analytics and operations teams, contribute to pitches, and ensure quality assurance. The role requires strong stakeholder communication, project management, marketing mix modeling knowledge, and quantitative analytical skills.

Lead and manage a team of senior machine learning engineers developing production offline scene-understanding and counterfactual evaluation models for autonomous driving. Own technical direction, architecture, roadmap, hiring, engineering quality, and cross-functional alignment across UK and US teams. Apply computer vision, foundation models, large-scale training, and offline compute to improve validation, rare-event mining, simulation, and customer-facing deliverables.