Top Python Jobs in London

As a Technical Support Engineer, you will lead field operations, develop fixes for software issues, manage escalations, and communicate with customers while maintaining high system uptime.

Build end-to-end testing, evaluation, and feedback systems for a global GenAI assistant. Design data pipelines, APIs, and dashboards; own features from design to production; ensure safety, compliance, and quality; provide technical leadership and mentor peers.

As a Technical Support Engineer, you will provide Level 2 support, troubleshoot F5 products, communicate with customers, and collaborate with engineering teams.

The Senior Data Engineer will design and build data pipelines on GCP, ensuring high data quality and reliability for analytics and ML products. Responsibilities include mastering ETL processes, managing workflows with Airflow, and collaborating closely with ML engineers.

Lead design and development of secure, scalable, AI-enabled cloud web applications and APIs for healthcare and R&D use cases. Build full-stack features with Python/Java/C++, modern frontends, AWS services, CI/CD, testing, and integrations while ensuring regulatory compliance (HIPAA/GDPR/GxP) and mentoring engineering teams.

Design, implement, and automate cloud infrastructure on AWS using Terraform, Kubernetes, Helm, and GitHub Actions. Build production-grade clusters, create deployment pipelines, implement monitoring with Prometheus/Grafana/ELK, enforce infrastructure security controls, optimize cost and performance, and produce documentation and RFP contributions while collaborating across teams.

Work on forensic intelligence features for Evidence.com, building forensic playback, investigation tooling, media processing pipelines, and format analysis. Collaborate with product managers and global engineering teams, contribute to code quality and test automation, participate in operational ownership and on-call support, and learn across the stack with mentorship.

Design, build, and maintain automated test coverage across UI, API, and integration layers. Lead regression and performance automation, conduct exploratory and accessibility testing (WCAG), apply OWASP Top 10 security awareness, create test data, support release readiness, and embed risk-based testing and quality practices across agile delivery teams.

Lead and optimise the data platform architecture, coach and grow the data team, build and maintain production data pipelines and sources (APIs, SQL/NoSQL, parquet), implement ML infrastructure and MLOps, deliver data engineering projects with stakeholders, and collaborate with engineering teams to integrate back-end databases.

Design and validate scalable, secure finance system architectures; lead solution discovery, documentation, and governance; engage senior stakeholders and vendors; provide technical leadership, hands-on proofs-of-concept, and cross-functional guidance to reduce delivery risk and accelerate finance transformation.

Design, build, and scale backend APIs and microservices using Django, Django REST Framework, FastAPI and Pydantic. Integrate financial, climate, and ESG data, collaborate with climate risk modeling teams, apply engineering best practices, perform code reviews, and deploy systems on AWS using containerization and CI/CD pipelines.

Lead development and governance of a centralized catalog of reusable AI components (prompts, agents, templates, RAG patterns). Define standards, manage lifecycle (intake, tagging, publishing, deprecation), ensure compliance with infrastructure and security, collaborate with engineers to productize reusable assets, monitor usage and impact, and support enterprise AI best practices and adoption.

Lead Java Developer responsible for delivering Real-Time and On-Demand Risk enhancements, managing the full development lifecycle, collaborating with global teams, and driving operational improvements.

Lead Custody FX product strategy and transformation, partnering with Custody, TTS, Sales, Trading and Technology to define roadmaps, launch and manage FX products, negotiate partnerships, ensure regulatory compliance, and drive client-focused solutions and workflows across the product lifecycle.

Build and operate metadata, semantic, lineage, and provenance capabilities within a cloud-native Data Platform. Translate analytical and ML workflows into versioned, discoverable, governed dataset products. Implement ingestion, APIs, automation, and tooling on AWS to improve discoverability, reproducibility, and reuse of scientific data. Collaborate with Computational Immunology, lab, and platform teams and own technical solutions from design through production and operations.

Build and operate a cloud-native data platform for biological and clinical data: design data lake/medallion architectures, ingest/validate/transform data, enable reproducible pipelines, implement IaC and CI/CD, improve discoverability, lineage, governance, and support scientists and data teams.

Design, build, and operate scalable, secure data pipelines, warehouses, and streaming systems. Collaborate with Engineering, Data Science, Analytics, and Product to model data, evolve platform architecture, optimize tools, and support delivery while mentoring junior engineers and promoting best practices (CI/CD, testing, observability, IaC).

Own end-to-end productionisation of ML models, build and mature the ML platform and serving architecture, integrate system testing and monitoring into training pipelines, automate releases and drift detection, and measure real-world impact alongside data scientists.

Lead month-end close, statutory IFRS reporting, FP&A, tax, and treasury for an FCA-authorised investment firm. Support regulatory capital and ICARA/RegData submissions, manage one direct report, and embed AI/automation (n8n, Claude, Python) to streamline finance processes and reporting.

Design, build and maintain ingestion pipelines and Databricks transformations; implement metadata-driven engineering, CI/CD, data testing and observability; evolve semantic models for reporting; lead and mentor a small engineering team and engage stakeholders to translate business needs into production-grade data products.

Lead global media measurement and analytics for a major travel client: develop and operationalize measurement frameworks, build standardized tools (including AI agents), design experiments and lift studies, deliver actionable campaign insights, manage client relationships, vendor SOWs, and coordinate with data engineering to automate solutions.

As an Associate Backend Software Engineer, you will collaborate with teams to design solutions, produce high-quality code for a user-impacting product, and engage in continuous improvement practices.

Design, build and maintain clean, tested analytics datasets and SQL transformations for Snowflake/MPP warehouses; collaborate with product and data science teams; model data for BI consumption; optimise and expand Looker usage and data products for ~1500 users.

Drive FP&A for a high-growth electric vehicle leasing business: maintain cashflow and 3-statement models, write and optimise SQL in Databricks, ensure data quality, produce variance analysis and dashboards, deliver ad-hoc analysis for the CFO and partner with Tech/Product to improve forecasting.

Analyze large-scale post-trade data to review and refine client trading behaviour, implement performant C# production code, collaborate with research, engineering and front office, monitor real-world changes, and deliver medium-term strategic projects and urgent commercial improvements.