Top Python Jobs in London

Design, implement, and support hybrid multi-tenant private and public cloud platforms. Deliver, automate and orchestrate infrastructure (Windows, virtualization, containers, public cloud), administer Microsoft 365, integrate security/HA/networking, and provide high-quality platform engineering and stakeholder support with strong scripting and IaC practices.

Leads end-to-end enterprise network architecture engagements, serving as design authority and final escalation point for complex routing, switching, data center fabric, WAN, SD-WAN, multicast, QoS, IPv6, and security integration. Chairs architecture governance forums, produces HLD/LLD documentation, leads client workshops and cutovers, supports presales, mentors engineers, and defines standards. Requires CCIE-caliber expertise, 10+ years of experience, multi-vendor Cisco and Juniper or Arista depth, and Python and Ansible automation proficiency.

Leads a team responsible for the reliability, performance, and availability of GPU-accelerated HPC infrastructure. Oversees monitoring, incident and problem management, root cause analysis, automation, documentation, change management, and operational metrics. Owns Agile delivery practices, backlog alignment, cross-functional coordination, and continuous improvement. Acts as an escalation point during major incidents while managing team development, resource allocation, stakeholder communication, and third-party support relationships.

Create feature-film-quality FX using Houdini, including procedural, dynamic, particle, and fluid simulations. Light complex shots, manage heavy particle effects, perform moderate compositing in Nuke, write pipeline scripts and plug-ins, develop shaders, animate objects, and debug simulations. The role requires strong problem-solving, communication, aesthetic judgment, teamwork, time management, and the ability to work with minimal supervision. Hybrid work is based in London or Paris.

Leads end-to-end enterprise network architecture engagements across campus, data center, and WAN environments. Designs complex routing, switching, VXLAN/EVPN, SD-WAN, multicast, QoS, IPv6, and security-integrated networks; oversees implementation and cutovers; chairs architecture governance forums; produces HLD/LLD documentation; leads client workshops and escalations; mentors engineers; contributes to standards and supports presales technical scoping.

Build and operate globally distributed data-transfer infrastructure for video, LiDAR, and sensor data at petabyte-per-day scale. Design parallelized pipelines using Flyte, Kafka, Azure, Python, and Terraform; implement reliability, observability, integrity checks, backfills, dashboards, alerting, and cloud-to-cloud networking. Collaborate with product and external partner teams, support evolving requirements, and participate in an out-of-hours on-call rotation.

Develop, fine-tune, and operationalize machine learning models and AI applications for enterprise customers. Build demos and proofs of concept, integrate new models, enhance internal ML platform features, resolve bugs, optimize performance and scalability, and support partner solutions. Collaborate with sales and solutions teams to ensure successful customer deployments. The role requires strong software engineering, coding, communication, and project execution skills, with preferred experience in generative AI model fine-tuning.

Analyze complex datasets to identify unauthorized usage, revenue leakage, fraud indicators, anomalies, risks, and commercial opportunities. Develop monitoring frameworks, dashboards, visualizations, automated reporting processes, and investigative methodologies. Partner with intelligence, commercial, data science, product, and engineering teams to support revenue protection investigations and translate quantitative, behavioral, trend, and network analysis into actionable business intelligence.

Develop and productionize machine learning models and AI agents for financial-market intelligence and client workflows. Responsibilities include forecasting, sentiment analysis, market classification, LLM/RAG agent development, backtesting, hallucination testing, governance, human-review controls, provider benchmarking, regulatory compliance, and cross-functional collaboration. The role also provides technical leadership and mentorship while applying advances in AI and machine learning to financial markets.

Triage, investigate, and remediate security alerts using EDR and forensic artifacts. Perform tactical malware analysis, investigate Microsoft M365 activity, assist escalations, contribute to detection engineering, and work on projects to improve SOC outcomes while mentoring and collaborating with teammates.

Build and optimize performance-critical backend systems processing millions of real-time records. Design and improve Pigment’s formula and query engine, develop services primarily in C# and .NET Core, contribute to React frontend features, and address scalability, performance, reliability, and architecture challenges. Collaborate with product managers and engineers across the application lifecycle while delivering user-focused solutions and maintaining the production platform.

Leads AI-centric threat hunting initiatives, integrates agentic capabilities into cybersecurity environments, advises customers, and mentors global security teams. Develops threat-hunting methodologies, detection rules, dashboards, and cybersecurity range scenarios. Analyzes telemetry and large datasets using SIEM and EDR tools, supports incident response and digital forensics, facilitates Blue Team exercises, and communicates complex security risks to technical and non-technical audiences. Travel is expected for customer assessments and events.

Work on platform engineering to build, automate and maintain cloud infrastructure and platform components; support operational excellence through on-call rotations, incident management, CI/CD, monitoring, and BAU; collaborate with engineering and data teams to design secure, scalable systems and reduce operational toil.

Build and refine AI-powered prototypes for supply chain and manufacturing operations. Engage with factory and warehouse teams, translate operational needs into software requirements, develop Python-based RAG and agentic systems, integrate APIs and data sources, and iterate prototypes based on frontline feedback. The role involves SQL and document data preparation, agile collaboration, occasional manufacturing-site travel, and progressive adoption of enterprise AI frameworks and production engineering practices.

Leads customer-facing Frontier AI projects from architecture through production deployment. Oversees integrations of Actonomy products in customer environments, guides Forward Deployed Engineers, manages and mentors staff, and partners with senior stakeholders. Translates customer needs into product improvements, creates reusable implementation assets, supports AI adoption, and communicates architectural and commercial decisions to technical and nontechnical audiences.

Lead architectural and technical decisions for shared data-platform capabilities, combining hands-on software engineering with Staff-level technical leadership. Build scalable cloud-native systems and data pipelines, mentor engineers, collaborate with product and cross-functional stakeholders, integrate partner systems, and support live operations and incident response. The role focuses on reliable processing of large volumes of sensitive health and research data while improving engineering practices across multiple teams.

Design, deploy, configure, and operate Kubernetes and Portworx solutions across on-premises and cloud environments. Support architecture workshops, storage, backup, disaster recovery, monitoring, CI/CD, and infrastructure-as-code workflows. Troubleshoot production issues, manage support cases, validate changes, train customer teams, and collaborate with architects, project managers, partners, and engineering teams. The role is customer-facing, hands-on, and supports enterprise engagements across the UK and EMEA.

Conduct formal-methods research for software, hardware, and mathematical verification. Apply Lean or similar proof assistants to verify safety-critical systems, develop algorithms that improve AI-driven theorem proving, and collaborate with AI researchers to train reliable reasoning systems. The role requires technical research project ownership and may involve programming languages, safety-critical verification, open-source tools, and high-quality research contributions.

Build internal full-stack products across backend, frontend, and infrastructure. Work directly with users to identify needs, create reusable platforms and abstractions, make product and prioritization decisions, and independently ship solutions. Continuously iterate based on feedback while empowering less-technical users. The role requires strong systems thinking, comfort with ambiguity, and proficiency in Python, TypeScript, and React.

Lead customer-facing technical engagements spanning discovery, solution design, architecture reviews, platform demonstrations, and proofs of concept. Build production-quality data solutions using Python, SQL, cloud platforms, distributed data systems, analytics, and machine learning technologies. Partner with Account Executives on technical account strategies, demonstrate competitive differentiation, maintain customer engineering relationships, and contribute reusable notebooks, accelerators, and reference architectures.

Resolve complex customer architecture, performance, recovery, security, and operational challenges for a developer-focused software platform. Advocate for customer needs with product and engineering teams, develop diagnostic and benchmarking tools, improve automation and deployment playbooks, and collaborate cross-functionally on scalable processes and dashboards.

Performs software and system safety analyses for autonomous vehicle platforms, including HARA, FMEA, FTA, STPA, freedom-from-interference, and code-level hazard evaluations. Derives and traces safety requirements, defines fail-safe mechanisms, reviews safety-critical C++ and Python code, supports safety-case development, and collaborates with robotics, hardware, systems, software, and test teams to verify compliance and enable airport deployment.

Develop and validate machine-learning and predictive models for Crop Protection R&D using complex scientific, laboratory, environmental, and field-trial data. Collaborate with multidisciplinary scientists and software teams, guide experimental design, support data strategy, communicate insights to technical and non-technical stakeholders, track modelling impact, document methods, and mentor junior data professionals.

Supports and maintains AWS and secure on-premise environments, including L3 production support, 24/7 on-call rotations, infrastructure automation, CI/CD pipelines, observability, databases, identity services, Kafka, incident management, and secure data replication. Works under senior guidance while contributing to deployments, change governance, technical debt reduction, testing, and continual service improvement.

Own and evolve AWS and secure on-premise platforms, leading L3 production support, on-call incident response, infrastructure maintenance, automation, observability, CI/CD, security compliance, and service improvement. Build and manage Kafka, databases, identity, caching, replication, and secure data-flow services. Drive technical debt reduction and governance, support deployments and change management, align platforms with product roadmaps, and mentor junior and mid-level engineers.