Top Python Jobs in London

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Provide clinical and technical support for Vision RT SGRT products across UK/EIRE: pre-sales demos, customer training and commissioning, clinical testing, scripting and planning support, feedback to R&D, lead projects (DoseRT, MapRT), and contribute to clinical studies/publications. Significant regional travel required.

Lead pre-sales technical engagements to architect end-to-end Data & AI solutions on the Databricks Lakehouse. Coach junior architects, design and deliver complex PoCs, drive customer adoption of Generative AI/LLM solutions (fine-tuning, RAG, MLOps), and collaborate with account teams across UK&I and EMEA.

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.

Senior individual contributor researching how threat actors weaponize AI across the attack lifecycle. Instrument telemetry, analyze global data and OSINT, develop detections, automate research workflows with LLMs and scripting, and publish external threat intelligence to inform protections and operations.

Lead EMEA revenue strategy and execution across UK, DACH, Nordics and Benelux. Build and scale multi-segment sales organization (BDR to Enterprise), set GTM, forecasting and performance frameworks, drive enterprise deals and C-suite engagement, partner cross-functionally, develop leaders, and represent Anaconda externally to grow ARR and retention.

Lead pre-sales technical engagements for a data management/DSPM platform: perform technical discovery, architect solutions, run demos and POCs, enable partners, support RFPs, and liaise with product, marketing, and customer success to drive enterprise sales and adoption.

Use econometrics, causal inference, experiments and ML to answer business questions affecting restaurants, riders and customers. Produce analytical insights, run experiments, collaborate with stakeholders, and impact growth and profitability using R/Python and SQL.

The Principal Software Engineer will architect AI-enabled platforms, mentor senior engineers, and lead cross-team architectural discussions, with a focus on secure, scalable solutions on AWS.

Lead design and delivery of production-grade AI/ML solutions for Kainos Workday products. Build predictive analytics, anomaly detection, generative AI features, and scalable MLOps pipelines. Integrate with Workday, mentor and line-manage a data science team, manage client engagements, and drive architectural and technical leadership across product initiatives.

Support productionising AI/ML solutions for Workday products under senior guidance. Collaborate with data scientists and engineers to deploy, monitor, and maintain models using cloud, containerisation, and MLOps practices while following responsible AI and data privacy guidelines.

Support delivery of AI/ML solutions for Workday products by applying statistical and machine learning methods, building models and visualisations, assisting deployment alongside engineers, and collaborating with senior team members to learn and deliver on client projects.

Design and deliver production-grade AI/ML solutions for Kainos Workday products, including LLM-driven features, model deployment, dashboards, and mentoring junior staff. Collaborate with engineering and clients to improve product functionality, scalability, and efficiency.

Build, ship, and operate Cloudbeds' POS: work across React Native/Expo frontend, Python/FastAPI backend, PostgreSQL, synchronization/offline patterns, and cloud-native infrastructure (Terraform, Kubernetes, Argo CD). Own API design, reliability, testing, observability, production support, and cross-team collaboration to deliver dependable, scalable POS experiences for hospitality.

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.

Lead design and delivery of a deterministic identity graph and graph-driven identity intelligence. Discover features from connected data, build link-analysis pipelines, prototype identity-resolution and fraud/risk models, define quality signals and ingestion workflows, align data capabilities with product goals, select graph technologies, document standards, and mentor/grow a data science team while shipping production-grade graph-enabled product features.

Lead multi-skilled agile teams to design, build and productionise modern data solutions. Own technical architecture, collaborate with infrastructure and customer architects, define functional and non-functional designs, mentor staff, estimate delivery timelines, contribute to data community and support pre-sales technical solutioning.

Lead design and operation of production-grade CI/CD and delivery infrastructure. Improve pipeline reliability, speed, and progressive delivery practices (canaries, automated rollbacks), build developer-facing self-service tooling and an Internal Developer Portal, and embed AI tooling into delivery workflows while collaborating across global engineering teams.

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.

Support and automate application and data infrastructure: deploy and maintain Kubernetes containerized applications, build automation pipelines, manage Linux servers, assist with data pipelines/ETL, troubleshoot deployments and third-party services, and document operational best practices while collaborating with developers and data engineers.

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.

Design, deploy, and maintain Linux-based infrastructure and CI/CD pipelines. Automate server and application management with Chef, GitHub Actions, and Jenkins. Monitor systems using Prometheus and Grafana, support deployments and incident on-call rotation, troubleshoot networking and application issues, and document processes.

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.

Lead design and implementation of scalable generative AI services and reusable components using Python. Drive architectural decisions, deploy containerized applications on Kubernetes (EKS), ensure scalability/observability and CI/CD, mentor engineers, and collaborate with product and research teams to productionize LLM capabilities.