Top Python Jobs in London

Serve as a trusted technical advisor to optimize Splunk adoption and performance. Drive architecture guidance, capacity and upgrade planning, escalations, integration design, cloud migrations, cost and risk assessments, and cross-functional collaboration to improve customer outcomes and identify upsell opportunities.

Work directly with customers to onboard datasets, design synthetic population queries, diagnose and improve data pipelines, validate synthetic methodologies, lead technical engagements, train and document for adoption, and feed customer insights into product priorities.

Design, build, and productionise large-scale optimisation models and bespoke solvers for last-mile scheduling, assignment and pricing. Translate operational requirements into mathematical programming and heuristic solutions, benchmark and monitor performance, and work cross-functionally with engineering and analytics to deploy and evolve automated decision systems.

Staff-level full-stack product engineer (backend-heavy) owning end-to-end product slices: backend APIs, data pipelines, LLM/agent integrations, and pragmatic React/TypeScript frontends. Drive delivery, ensure production reliability, collaborate with product/design, and ship scalable features with minimal supervision.

The Staff ML Performance Engineer optimizes ML inference for edge devices, profiles performance bottlenecks, and implements improvements across systems while collaborating with model developers to enhance on-device performance.

Build and scale shared AI platform foundations on Azure, focusing on agentic AI. Design templates, reference implementations, secure model access, LLMOps patterns, observability, CI/CD, and operational reliability while partnering with product, cloud, and security teams.

Own strategy and delivery for US personal loans: productionise credit models, build automations for operations, run A/B tests, improve post-origination experience, and leverage LLMs/AI to boost customer service and collections. Collaborate with engineering, data science, credit risk, growth, and operations to drive measurable business outcomes.

Work within the Data Analytics team to drive data-driven decision making: lead analytics projects, model and simulate business problems, produce end-to-end reporting, visualise insights for technical and non-technical stakeholders, provide technical oversight and mentor colleagues.

Lead technical delivery of flood risk and hydraulic modelling projects, verify model builds and reports, develop proposals, mentor staff, engage clients and drive innovation including AI enablement and thought leadership.

Lead technical delivery of flood risk and hydraulic modelling projects, verify model builds and reports, mentor staff, develop proposals, build client relationships, drive innovation and represent AECOM at industry events.

Lead and verify hydraulic and flood risk modelling projects, provide technical direction, review model reports, develop proposals, mentor staff, build client relationships, drive innovation (including AI enablement), and represent AECOM at industry events.

Develop scalable cloud infrastructure and robust software solutions for AI/ML, collaborating with engineers and scientists to enhance scientific research.

Lead and grow a team of ML scientists to build and productionise credit underwriting, pricing, limits, and lifecycle models. Define Borrowing's ML roadmap for UK growth, new segments, and EU expansion, improve feature engineering and data use, and raise standards for model quality, governance, and iteration speed.

Lead a team performing data investigations and impact analyses across consumer and commercial lines. Use SQL and Python to prepare and analyze data, triage incidents and client queries, represent Data & Analytics in incident meetings, prioritize analyst work, support data improvement initiatives, and present findings to technical and non-technical stakeholders.

Design, implement, and operate Virtu’s global low-latency network. Build connectivity across venues, troubleshoot third-party links, and drive automation using configuration management and software collaboration. Improve scale, reliability, and performance while working with software engineers and stakeholders in a fast-paced trading environment.

Lead end-to-end design and deployment of conversational analytics agents and semantic data models on Data360. Build data pipelines, prototype agentic analytics use cases, troubleshoot production issues, and transfer knowledge to customer teams while feeding product teams field feedback to shape roadmap.

Lead the AI function, define roadmap, and build production generative AI systems (voice, chat, document). Split time between hands-on engineering (~40%) and leading the AI team, establishing RAG/agentic workflows, evaluation, observability, and best practices. Collaborate with product and engineering to deliver reliable, user-focused AI features.

Support Global Costing by executing quarterly standard costing, maintaining SAP and Impact3C, performing product costing and manufacturing cost analysis, analyzing cost variances, supporting COGS and inventory valuation, partnering with Finance/Operations/Supply Chain/IT, driving process automation, and ensuring SOX and accounting policy compliance.

Lead and grow the Database Reliability team to ensure highly available, scalable databases. Mentor engineers, shape incident response and capacity planning, collaborate with infrastructure/product/security, drive best practices for Postgres and CockroachDB, hire and scale the team, and own monitoring, cost optimisation, and performance tuning across environments.

Develop and optimize CUDA kernels and GPU-accelerated software for latency-sensitive, high-throughput workloads. Profile and tune GPU performance, scale multi-GPU/multi-node systems, build tooling to correlate GPU utilization with real-time energy/grid signals, collaborate with infrastructure and ML teams, and contribute to libraries and best practices for GPU performance in data center environments.

Design, build, deploy and operate AWS platforms and shared tooling using IaC. Automate infrastructure (Terraform/CloudFormation/Packer), package services (AMI, Docker, Serverless, Lambda), administer Kubernetes, implement AWS security guardrails, and advise customers through cloud transformations while working in agile teams.

Design, build, maintain, and improve core product features, work with customers on logistics needs, take ownership of projects, and utilize AI tools for development.

The Technical Lead will manage engineering projects, lead a team, design system features, and ensure the system operates efficiently, securely, and reliably with a focus on logistics and customer needs.

The role involves developing data pipelines, managing metadata and data quality in Azure, ensuring compliance with data governance standards, and collaborating with data teams.

Build and maintain backend-first features and integrations for Triptease's marketing channels. Work across the full stack (primarily backend), design scalable distributed systems, implement CI/CD on cloud platforms, collaborate closely with product teams, pair program, write tests (TDD), and contribute to squad strategy and product quality.