Top Python Jobs in London

The Applied Scientist will develop AI systems for autonomous driving, focusing on machine learning, simulation, robotics, and real-world deployment, while advancing embodied AI technologies.

Design, build, and maintain automated test frameworks for embedded and connected medical devices. Define test plans for firmware, device drivers, APIs, connectivity, OTA updates, and WebUI. Integrate tests into CI/CD pipelines, collaborate with hardware/firmware teams, debug system-level issues, and validate device performance under real-world conditions. Must commute to London office 3–5 days/week.

The Senior Software Engineer will develop trading software, collaborate with trading teams, and ensure clean, testable code using agile methodologies.

Develop scalable ML systems for driving behaviors, leading RL algorithms, and collaborating on technical projects to enhance Waymo's autonomous technology.

Perform quantitative analysis using BMLL's product suite and large market-data lakes to support sales/marketing, prototype technical solutions, gather client feedback, and contribute to the product roadmap. Communicate results to technical and non-technical stakeholders, maintain reproducible documentation, and manage complex projects under tight deadlines.

The Lead Machine Learning Engineer will direct AI projects, ensure sound architectural decisions, mentor engineers, and drive innovation within the team.

Build, test and ship growth-focused user journeys and subscription funnels across web and app. Design and run experiments, implement instrumentation and tracking, own features end-to-end, collaborate with product/design/data, and improve CI/CD, testing and release workflows to increase conversion and engagement.

The Head of Research and Development for AI Safety will lead a research team focused on AI safety, drive the research agenda, manage publications, and influence AI safety strategies with industry impact.

The Lead Forward Deployed Engineer will direct complex AI projects, guide architectural decisions, foster team growth, and ensure scalable solutions across multiple work-streams.

Lead growth-focused engineering work: implement and maintain ad tracking SDKs/MMPs, build tracking/tag manager setups, design and ship full-stack growth features, integrate CRM/lifecycle tooling, build internal automation tools (Python/Node), and collaborate with Growth, Marketing and Data to run experiments and A/B tests.

Build and maintain ETL/data pipelines into the Data Lakehouse, develop Power BI dashboards, support AWS infrastructure (S3, Glue, Lambda, Step Functions, LakeFormation), ensure data quality using dbt, write complex SQL and Python for data processing, use Git for version control, document workflows, and collaborate with analysts and data scientists.

Lead development of behavioural features and detection algorithms from hypothesis to production using high-frequency GPS and inertial sensor data. Prototype, build scalable Python and SQL pipelines, evaluate ML and rule-based models, run experiments, and collaborate with engineering, product, and actuarial teams to integrate features into pricing and measure impact.

Drive technical pre-sales for German-speaking enterprise customers: run demos, architecture deep-dives, hands-on evaluations, manage technical sales process, support business case development, act as customer technical lead, gather product feedback, and represent Retool at events. Focus on DACH accounts with occasional onsite visits to Germany.

Develop ML-based models for alpha generation using high-frequency data, maintain data pipelines, optimize model performance, and collaborate with teams.

As a Full-Stack Software Engineer, you'll lead the technical strategy for AI applications in the public sector, architecting frameworks, guiding development, and mentoring staff.

As a Mission Operations Engineer, you'll deploy and integrate Nominal’s technology, enhance user experiences, provide training, and resolve operational challenges while building relationships with clients.

As a Senior Full-Stack Software Engineer, you will develop AI applications for public sector clients, design full-stack solutions, and manage cloud infrastructure while collaborating with cross-functional teams to address complex challenges.

The Senior Commercial Finance Analyst will analyze commercial performance, maintain financial models, leverage AI for reporting, and collaborate with teams for strategic financial decision-making.

Provide hands-on support for network issues, enhance workflows, focus on automation, and integrate AI in network operations.

The Windows Engineer will manage and optimize the Windows infrastructure, automate deployment processes, and collaborate globally to resolve issues and document outcomes.

Work across the full software lifecycle to build robust margin and collateral solutions. Collaborate with product teams and users, design and implement RESTful APIs, apply TDD and clean code, and handle data structures, algorithms and SQL. Adapt quickly in a fast-paced, changing environment and contribute to a strong global engineering culture.

The Product Data Science Manager leads a team to deliver custom data insights, ensuring analytical excellence and client impact while collaborating with various stakeholders.

The Engineering Manager will co-own product delivery, grow and support their team, promote cross-functional alignment, drive operational excellence, and contribute hands-on when necessary.

Design and implement scalable IAM architecture and tooling for AuraDB. Integrate enterprise SSO providers, implement auth protocols (OAuth2, OIDC, SAML, LDAP, MFA), manage lifecycle (SCIM), develop access control models (RBAC/ABAC/PBAC/ReBAC/FGA), enforce least-privilege, apply zero-trust patterns, ensure SOC 2 compliance, mentor engineers, and collaborate across product, security, and infrastructure teams.

Join the Front Office R&D team to design and maintain Python libraries and frameworks, provide production support, and enhance system reliability.