Top Python Jobs in London

Own QA for web and mobile releases: write and run manual and automated tests (web, mobile, API), build test frameworks, improve CI, track issues, mentor teammates, and influence requirements and quality processes.

Own and improve Primer's GTM intelligence: maintain dashboards and semantic models, train BI/LLM models (Omni/Claude), surface pipeline/account signals, ensure correct Salesforce modeling, build revenue-driving models and GTM AI workflows, partner with data engineering and RevOps, drive adoption, and promote self-serve data literacy.

Build and ship end-to-end, user-facing features and integrations for a developer infrastructure platform. Collaborate with users and partners to understand workflows, iterate on product design, and improve adoption, performance, and reliability.

Customer-facing full‑stack engineer who onboards and integrates customers, builds features and AI/ML solutions (LLM prompting, voice/transcription), manages APIs/integrations, and collaborates cross-functionally while traveling frequently for onsite work.

Design, build, evaluate, and operate production-grade LLM and agentic systems. Integrate models, vector stores, and enterprise data sources; implement retrieval, tool calling, orchestration, evaluation pipelines, observability, and secure deployment. Prototype rapidly and harden solutions into maintainable production systems with documentation and runbooks, collaborating across product, engineering, and customers.

Design, build, test, and deliver scalable machine-learning and NLP systems and large-scale data pipelines. Integrate ML models into production, write maintainable tested code, collaborate cross-functionally, and drive research-to-product development in an agile environment.

Conduct original research on interpretability of large AI models, prototype visualization and manipulation techniques, collaborate with engineers to productionize tools, publish and open-source results, and help define research direction focused on mechanistic understanding and model steering.

Build and maintain data pipelines and ETL, transform and model data with SQL and dbt, and use Python to build workflows, automation, and tools to optimise analytics products while collaborating with technical and non-technical stakeholders.

Work at the intersection of analytics engineering and Python-based data engineering to transform and model data using SQL and dbt, build and maintain data pipelines/ETL, automate workflows with Python, and deliver high-quality data products while collaborating with technical and non-technical stakeholders.

Own product-area metrics and funnels, find user drop-offs and opportunities, design and run A/B and growth experiments, build instrumentation/semantic models and analytics systems, ensure data quality and lineage, and work directly with PMs and engineers to turn insights into shipped product outcomes.

Own pricing and packaging analytics: build unit-economics, willingness-to-pay, and price-sensitivity models; design and run pricing experiments; operationalize pricing systems (eg. personalized discounting); and partner with finance, product, and growth to sequence and ship revenue-impacting changes.

Own the full growth funnel—from acquisition to expansion—identify high-leverage opportunities, design and run experiments, build instrumentation and agents to surface growth signals, and work closely with growth engineers to ship experiments that move metrics and drive measurable product growth.

Lead the technical direction for cloud infrastructure and delivery platforms, architect and operate secure, scalable Azure/AWS environments, design CI/CD and IaC, productionize AI solutions, own incident response and reliability improvements, and provide hands-on technical leadership and standards across teams.

Lead analysis and development of insurance pricing solutions using new and existing data. Own end-to-end delivery of pricing changes, monitor performance metrics, identify trends, extract value from datasets, and support the development of junior analysts.

Lead end-to-end pricing analysis and deployment for alternative pricing; explore new datasets, propose pricing changes, monitor performance metrics, and support junior analysts. Innovate pricing solutions using SQL and Python to improve risk assessment and profitability in UK motor insurance.

Design and deliver AI, ML and advanced analytics solutions on the Microsoft Azure stack from discovery through production. Lead technical direction, run consultative workshops, manage client stakeholders, support presales, mentor colleagues, and contribute to internal and external communities.

Build and optimize backend microservices, APIs, and data models for a global payments platform. Collaborate with client teams, lead architecture for high-concurrency low-latency systems, and ensure testing, monitoring, deployment, and secure data handling for scalable financial products.

Conduct original AI safety research by designing and running experiments on transformer-based LLMs, applying white-box and black-box interpretability methods, developing reproducible Python research code and tooling, documenting results in papers and reports, and translating findings for external partners and stakeholders.

Lead end-to-end platform initiatives, set company-wide technical direction, mentor engineers, improve developer tooling and automation (CI/CD, GitOps, IaC), run reusable components (Grafana, Istio, CloudNativePG), operate Kubernetes and cloud/on‑prem infrastructure, and bake security and observability into the platform.

The Senior Research Scientist will innovate and optimize models for real-time learning, collaborating across domains to enhance efficiency and impact, with a strong focus on practical applications and measurable outcomes.

Collaborate with development teams to deploy and maintain applications on GCP using Kubernetes, Docker, Helm, ArgoCD and Terraform. Build automation pipelines, support deployments/upgrades/troubleshooting, manage infrastructure as code, document processes, and participate in on-call rotation.

Design, build, and maintain backend API and database services for a cloud PBX platform. Drive architecture, performance optimization, debugging, CI/CD and test automation, and collaborate with QA. Mentor peers and raise engineering standards while safely evolving high-load, networked systems.

Maintain and automate cloud infrastructure and CI/CD for a globally available WebRTC video conferencing service. Build IaC with Ansible and Terraform, manage AWS resources, deploy to Linux, Windows and Kubernetes, troubleshoot test environments, lead incident response and root cause analysis, and automate repetitive tasks to support development and production delivery.

Lead SRE practices across engineering teams to design resilient services, define SLIs/SLOs, improve observability, automate toil, guide architecture reviews, drive performance and capacity planning, build platform and IaC tooling, and lead incident response and post-incident improvements.

Define and build quality frameworks for human data programs, partner with clients and engineering to design evaluation, recruitment and annotation strategies, implement automated checks and dashboards, investigate data integrity, and upskill teams to deliver high-quality human data at scale.