Top Python Jobs in London

Lead design and delivery of security automation, own case management platform, manage DevSecOps infrastructure, and drive AI adoption for security operations. Provide technical leadership, mentor engineers, define roadmaps, implement IaC/CI/CD practices, and ensure secure, resilient platforms supporting alert ingestion, enrichment, and automated response.

Ten-week software engineering internship building and shipping production code for Optiver's real-time trading systems. Work with mentors and cross-functional teams on performance-sensitive projects, learn trading fundamentals, and may receive a full-time offer based on performance.

Lead design, develop, test, and deploy production-grade C++ software for autonomy and defence customers. Integrate customer software, mentor junior engineers, and travel to customer sites and offices.

Join as a graduate quantitative researcher to design, build, test and deploy statistical and machine learning models for pricing, forecasting and signal discovery using large-scale market and unstructured data. Collaborate with researchers, traders and engineers to monitor production models, refine assumptions, and accelerate research-to-production using AI-enabled workflows.

Lead and build Smarkets' security engineering and DevSecOps program for cloud-native trading systems, ensuring regulatory compliance (CFTC), secure SDLC adoption (SAST/DAST/SCA), infrastructure hardening (AWS/Azure/GCP, Kubernetes, IaC), incident response, monitoring, and security automation while engaging with executives, board, and regulators.

Design, implement, test and document scalable Windows platform security controls. Automate security workflows and integrate security products via APIs. Manage endpoint security, vulnerability scanning and patching, investigate emerging threats, and advise IT teams on remediation and best practices.

Lead technical discovery, solution design, demonstrations, and proof-of-concept support for Anaconda’s AI and data science platform across EMEA. Partner with account executives on complex deals, create reusable technical content, represent customer needs to product and engineering, and coordinate with cross-functional teams through implementation handoff. Manage multiple opportunities independently while improving technical win rates, deal expansion, sales velocity, and regional pipeline development.

Lead and grow an 8–10-person engineering team responsible for core trading backend services, including matching engines, market data gateways, and order entry systems. Guide migration from legacy to modern systems, contribute to architecture and coding, prioritize performance and market data, adopt AI-assisted engineering practices, and partner with product and engineering teams to execute roadmaps.

Operate and scale high-throughput MariaDB/MySQL clusters supporting globally distributed financial services. Responsibilities include database tuning, replication, high availability, disaster recovery, backups, automation, observability, security, containerized deployments, infrastructure-as-code, and partnership with engineering teams. The role also participates in on-call rotations and improves operational reliability through SRE practices, documentation, measurable KPIs, and preventative engineering.

Own AI engagement outcomes from success definition through production delivery. Design and evaluate end-to-end AI and GenAI systems, manage technical risk and trade-offs, communicate with clients, lead code reviews, resolve technical disagreements, mentor engineers, and develop reusable components and best practices. Deploy models and LLMs on AWS or Databricks with strong testing and CI/CD practices.

Design, build, test, and operate scalable backend services, APIs, and microservices. Work on distributed systems, asynchronous workflows, messaging, and event-driven architectures. Troubleshoot production issues, improve reliability and observability, participate in code reviews, CI/CD, and collaborate cross-functionally from design through production.

Develop and validate agentic AI capabilities for patent analysis using machine learning, NLP, LLMs, RAG, hybrid search, and agentic workflows. Analyze large-scale intellectual property datasets, design experiments, evaluate and benchmark models, define reasoning strategies, and translate findings into product recommendations. Collaborate with product managers, IP experts, and engineers to deliver scalable, customer-facing solutions.

Develop and validate agentic AI capabilities for patent analysis using machine learning, NLP, LLMs, generative AI, retrieval, and hybrid search. Define multi-step reasoning workflows, analyze large-scale intellectual property datasets, establish model evaluation and benchmarking practices, and translate experiments into product recommendations. Collaborate with product teams, intellectual property experts, and engineers to deliver scalable, customer-facing solutions.

Own the AI architecture for an agentic patent-analysis assistant, defining scalable systems for reasoning, retrieval, semantic search, data enrichment, prompt engineering, evaluation, and LLM quality. Partner with engineering, product, data, security, and platform teams to shape the roadmap and ensure enterprise-grade security, privacy, reliability, observability, cost governance, regulatory compliance, and Responsible AI alignment. Document architectural decisions and communicate technical strategies to technical and executive stakeholders.

Designs and maintains automated UI, API, database, regression, integration, end-to-end, performance, and load test suites for a SaaS platform. Integrates quality gates into CI/CD pipelines, partners with developers and product teams in agile workflows, uses AI/LLM tools to improve testing efficiency, maintains technical documentation, and drives defect reduction and continuous quality improvement.

Design, build, and maintain scalable data pipelines and infrastructure using Python and Snowflake. Deploy and orchestrate data services on Kubernetes, implement CI/CD with GitHub, ensure data quality, observability and security, collaborate with engineering and data science, and support ML model deployments and platform reliability.

Design, build, and maintain scalable edge ML infrastructure and model compilation pipelines for embedded devices. Deploy and validate optimized inference engines (TensorRT, quantization), run CI/CD and automated testing on fleets, monitor telemetry and performance, solve edge constraints (bandwidth, storage, reliability), and mentor the team on Python tooling and IaC.

Leads complex machine learning delivery and Defence-sector strategy, translating client challenges into technical roadmaps, scoping projects, managing client relationships, and supporting technical sales. Writes production-grade Python, serves as a machine learning authority, develops Generative AI and agentic AI solutions using LLMs, and mentors and manages data scientists.

Lead and manage software engineering teams, oversee technical delivery, resolve blockers, and maintain development, DevOps, testing, and agile best practices. Work directly with clients to translate requirements into technical briefs, make architectural decisions, and ensure scalable, secure, maintainable applications. Provide project updates, mentor engineers, and support effective decision-making across distributed teams.

Design, automate and maintain Azure infrastructure at scale using Terraform and CI/CD. Build pipelines (Azure DevOps, GitHub Actions), enforce security and governance (Azure Policy, RBAC, Key Vault, Entra ID), monitor and optimise workloads, troubleshoot incidents, perform code and architecture reviews, mentor engineers, coordinate delivery, support migrations and onboarding, and participate in on-call rotations.

Design, deploy, and maintain AWS and Databricks data infrastructure, data lakes, and scalable ETL pipelines. Build custom ingestion services and connectors using Airbyte, Go, and Python; optimize performance, reliability, monitoring, and data quality. Implement cloud data governance, security, access controls, encryption, and compliance practices while collaborating with platform engineers, analysts, and stakeholders.

Leads the identification, development, testing, and scaling of AI and automation solutions across internal delivery processes and future customer-facing use cases. Builds automated test suites, scripts repetitive workflows, pilots generative AI and agentic tools, creates reusable automation assets, tracks measurable value, and enables teams through training and knowledge sharing. Collaborates with project managers, product owners, process owners, testing communities, and delivery teams to ensure maintainable, responsible, and broadly adopted solutions.

Architect, develop, integrate, test, debug, and optimize embedded software for diverse hardware platforms using RTOS, bare-metal, Zephyr, and Linux environments. Lead software architecture, system validation, test automation, and multi-threaded application development while collaborating with hardware and software teams. Define test strategies, analyze defects, document designs, conduct code reviews, mentor engineers, optimize performance and power usage, and contribute to open-source projects.

Partner with founders and leadership to turn internal data, market research, and competitive analysis into strategic decisions. Own analytics from raw data through recommendations, identify growth and margin opportunities, build financial and business cases, and launch initiatives that improve efficiency, unit economics, and profitability. Drive strategic projects end-to-end while measuring progress against business outcomes.

Partners with founders and leadership to turn data into strategic decisions affecting growth, margins, and profitability. Owns analytics from raw data through recommendations, conducts market and competitive analysis, builds business cases, and leads strategic initiatives end-to-end. The role identifies efficiency and monetization opportunities, develops financial models, measures business outcomes, and supports cross-functional decision-making.