Top Python Jobs in London

Lead and grow an MLOps engineering team to productionise, deploy and operate scalable ML and AI products (batch and online), define MLOps tooling and processes, ensure observability and reliability, and partner across engineering, data and product to drive maintainable, impactful ML systems.

Develop stock selection signals, maintain models, research factors, enhance infrastructure, and assist in portfolio management while communicating findings.

Lead administration and roadmap for BI tools (Domo, Tableau); build advanced dashboards with custom code; automate ETL with Airflow and Jenkins; use SQL, Python, and Java; apply AI to speed development; train and mentor analysts and ensure high-quality, user-focused data visualizations.

Lead the Risk Platform Operations team to ensure accurate and timely delivery of portfolio risk analytics, mentor junior members, and enhance data quality controls.

Support actuarial pricing for Property, Political Violence, Political Risk and Credit portfolios: account pricing, model development, portfolio monitoring, data collection, model recalibration, and pricing analytics. Work with underwriters, present findings, and contribute to MI and pricing best practices while receiving IFoA exam support.

As a BI Data Analyst, you will analyze commercial data, assist teams with data queries, track revenue changes, and run tests for product performance.

As a Senior Python Developer, you will innovate solutions for online shoppers, collaborate with teams, and work on scalable products.

The role involves developing distributed systems software in Rust and Python, optimizing performance, reliability, and overseeing large-scale machine learning workloads.

Design and develop data processing software for large-scale solutions, ensuring quality and technical leadership within agile teams.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

As a Principal Data Architect, you will design and implement modern data solutions, ensuring data quality and governance while managing architectural direction for engineering teams and guiding clients on data strategy and integration using Google Cloud technologies.

Lead and implement architecture and code for resilient backend systems, embedded hardware, secure networking, and ML inference at the tactical edge. Mentor engineers, run code review and RFC processes, optimise performance and reliability, and drive cross-team technical initiatives from prototype to production.

Join the backend engineering team to develop and maintain Elwood's trading infrastructure. Rotate across backend and market connectivity teams, build and enhance features, collaborate with Quants/Product/Algo/Infrastructure, deliver high-quality code across the software development lifecycle, meet fast release deadlines, and apply automated testing and continuous improvement practices in a fintech / digital assets environment.

Design, build, test and maintain ETL/ELT pipelines and analytics warehouse (Snowflake/dbt). Implement data testing, governance, observability and self-service capabilities. Partner with analysts, data scientists and stakeholders, troubleshoot data issues, and mentor colleagues to improve data reliability and analytics processes.

The HPC Operations Engineer provides operational support for Linux HPC environments, manages problems, collaborates on coding, and oversees maintenance tasks.

As a Data Engineer, you'll optimize the Data Lake and develop pipelines for data-driven decision-making, collaborating with Data Science for efficiency.

The Client Services Officer will support clients with onboarding, troubleshoot issues, maintain system configurations, and automate processes while collaborating with internal teams.

Design, build, and operate Kubernetes infrastructure for high-demand workloads, ensuring security, reliability, and scalability while collaborating with research and trading teams.

The Site Reliability Engineer will improve system reliability, automate processes, collaborate with teams on solutions, and maintain scalable systems within an agile framework.

Embed with Portfolio Management and Analytics teams to deploy and enable LLM-based assistants, agentic workflows, and RAG solutions; deliver training and documentation; gather and prioritize user requirements for the PM AI platform; and provide first-line European-hours production support for Lane Assist/POET, triaging and resolving issues.

Manage and improve trading operations and dataflows: own SOD/EOD reconciliations, pricing, settlements, PnL reporting, intraday monitoring, design alerts and reconciliations, streamline trade execution and position distribution, onboard traders/products, evaluate new markets, and collaborate with developers on databases and trader tools.

Lead a London-based connectivity engineering team building proxy, OAuth, and token-management infrastructure for Anthropic products. Hire, coach, and develop engineers; drive roadmap, cross-org alignment, reliability, incident response, and engineering best practices; collaborate with SF teams and partner product, security, and platform groups.

Build and maintain reliable ingestion and transformation pipelines on Databricks or Snowflake, design Data Vault 2.0/Kimball models, ensure production reliability, support testing/monitoring/documentation, and help apply LLMs and AI-enabled solutions in regulated financial services environments.

Lead hands-on delivery of production data platforms on Databricks or Snowflake, build reliable ingestion pipelines and data models, mentor junior engineers, integrate LLM/AI where appropriate, ensure production reliability and compliance, and support pre-sales technical sizing and proposals.

The Technical Lead Manager will manage a team of developers, oversee project management, develop features, ensure code quality, and maintain documentation.