Top Python Jobs in London

Design, build, and maintain data pipelines, warehouses, and automations using Microsoft Fabric and Azure. Ingest and transform data via APIs and ETL/ELT, create test plans, implement security models, optimize performance, support business adoption, and document solutions while collaborating with stakeholders and development teams.

Lead research and engineering to design, implement, and deploy reinforcement learning and post-training methods that align large (multi-modal) models with human intent. Build scalable RL pipelines, run reproducible experiments from prototype to production, collaborate with engineering, ML platform, and HPC teams, and foster academic and industrial partnerships.

Design, build, and operate reliable, scalable platform infrastructure. Manage cloud resources, IaC (Terraform, Helm, Go CRDs), Kubernetes and serverless deployments, monitoring/alerting (Datadog), CI/CD pipelines, incident response, SLIs/SLOs, and collaborate with product and platform teams to reduce toil and improve developer workflows.

Embedded SRE working with Data teams to design, build, automate and monitor cloud infrastructure and data platforms. Manage Kubernetes, serverless, IaC (Terraform/Helm/Go CRDs), CI/CD pipelines, databases and observability (Datadog). Lead incident response, create SLIs/SLOs, optimise workflows, and support data ingestion, model deployment and warehouse management.

Deliver technical O&M projects for offshore wind from initiation to completion, supporting asset performance, standardisation, digital tool adoption, CMMS data handover, maintenance optimisation, and continuous improvement across onshore/offshore teams and contractors.

Run and improve production platform reliability by building automation, monitoring, and CI/CD tooling; troubleshoot distributed systems; provide primary operational support; participate in capacity planning, incident response, and postmortems to balance feature velocity with service-level objectives.

Design and own scalable, secure data architectures and pipelines. Translate business needs into technical designs, set standards, guide engineering teams, ensure performance, reliability, security, CI/CD, and maintain architectural documentation across global teams.

Lead administration and support of corporate Microsoft infrastructure, VDI/RDS access platforms, virtualization, storage, backups, and cloud services. Perform AD domain/forest migrations, replace legacy VDI and load‑balancing stacks, maintain documentation, resolve incidents to SLA, participate in projects and on‑call rotation, and collaborate with NOC, InfoSec, DevOps, and L2 teams.

Build and operate Azure automation platform components using Infrastructure-as-Code and CI/CD. Develop operational automation for patching, scaling, diagnostics, cost optimization, and policy compliance. Lead onboarding with application teams, resolve deployment issues, participate in planning and releases, and mentor junior engineers through code reviews.

Develop and maintain .NET/WPF desktop applications using C# and MVVM. Write technical specifications, deploy code, use CI/CD tools, ensure code quality (Veracode, SonarQube), and work with MS SQL Server (T-SQL, SSIS), XML/ETL and data warehousing. Collaborate with stakeholders and communicate effectively.

Partner with product and business teams to define metrics, design and analyze experiments, build analytical frameworks, maintain governed dashboards, conduct deep-dive analyses (funnels, retention, cohorts), size opportunities, and connect product metrics to revenue to inform roadmap and leadership decisions.

Design and deliver an operational multimodal sensing stack combining EO/LWIR cameras, radar, LiDAR, and IMUs. Own sensor selection, synchronization (PTP/PPS/hardware triggers), calibration, safety concepts, system architecture, lab bring-up, and data-quality tuning for defence AI deployments.

Design, develop, and maintain web applications, Python middleware, and automation for BEAR research computing. Deploy and operate services on Linux/BEAR Cloud, improve CI/CD and testing, integrate systems (e.g., GitLab, ServiceNow), support users, participate in triage/housekeeping rotas, and collaborate on technical design and engineering practices to improve reliability and scalability.

Partner with sales to demonstrate Flare's CTI and external attack-surface platform, run end-to-end POCs, deliver threat briefings to ISACs, interpret and translate findings for technical and executive audiences, train and enable teams, collaborate with product and research, and represent Flare at events. Bilingual (English/German) and travel flexibility required.

Lead metals market analytics and research, developing market intelligence, supply/demand models, scenarios and data-driven insights. Produce client-facing notes, presentations and calls; perform original research and data mining; document processes; collaborate with global analysts, data analytics and product teams; support ad hoc analysis and business development.

Build and maintain scalable ML infrastructure for LLM post-training, RL, evaluation, inference, and agentic workflows. Design data-control systems, optimize training and inference performance across networking, storage, and compute, and deliver tooling for experiments, evals, dashboards, reproducibility, and failure inspection. Collaborate with researchers and product to iterate models and infrastructure.

Train and post-train LLMs using SFT/RLHF/DPO, build reward models and large-scale data pipelines, run distributed multi-GPU training, design evaluation benchmarks, and optimize models for production inference and serving.

Manage high-impact marketing effectiveness programmes, oversee project governance, mentor teams, and drive strategic client insights, focusing on business growth.

Lead one or more News Engineering squads to deliver low-latency, real-time content enrichment and delivery. Hire and develop engineers, ensure reliability, quality, and sustainable on-call practices. Guide design and implementation of content processing and NLP enrichment, promote CI/CD, observability, automated testing, and responsible use of AI-assisted tools. Partner with product and architecture to balance speed, quality, and long-term system health.

As a Migration Architect, you will lead data migration projects for Veeva Development and Quality Cloud solutions, advising clients and ensuring effective data transitions while mentoring teams and enhancing migration processes.

Lead and execute large-scale Vault R&D migrations, advising customers through ETL (extract, transform, load), owning migration strategy, improving tooling/processes, mentoring team members, and supporting project scoping and delivery excellence for life sciences clients.

Lead enterprise data modelling and semantic/knowledge modelling across Snowflake and Databricks, govern canonical entities and lineage, define standards and guardrails, support agentic AI data products, mentor architects, and present architecture to stakeholders to ensure compliance, performance, and interoperability.

Build and ship end-to-end React Native mobile workflows for iOS and Android, including native integrations, offline-first persistence and sync, AI/LLM features, customer-facing work, and owning product from spec through production and customer feedback.

Build, deploy, secure, monitor, and maintain Python application extensions, CLI tooling, and automations for Threat Intelligence platforms. Integrate backend systems, create tooling to support analysts and engineers, identify automation opportunities, and provide DevOps-focused support for cloud-native environments.

Own and operate an on-prem Kubernetes platform for trading systems: cluster lifecycle, observability (metrics/logs/traces), GitOps CI/CD, infra automation, and onboarding/support for trading desks.