Top Python Jobs in London

Senior actuarial analyst to develop, program, and support Everest's global reinsurance pricing tool. Collaborate on UI, architecture, testing, and user support; troubleshoot production issues; prepare documentation and train users. Combine actuarial reinsurance expertise with software development and data manipulation skills to support pricing during renewals and wider group actuarial needs.

Lead software security practices across the development lifecycle by building and tuning vulnerability detection tools, triaging findings, prioritizing risks, improving security processes, and partnering with development and security teams. The role includes automating security workflows, evaluating vulnerabilities and mitigations, tracking security metrics, and promoting best practices across product teams.

Lead software security lifecycle improvements by deploying and tuning vulnerability detection tools, triaging findings, prioritizing security risks, and standardizing security processes. Partner with development, release, and Cisco security teams to remediate vulnerabilities, measure security posture, and promote best practices. Automate security workflows using Go, Python, Bash, or Terraform, with opportunities to apply LLMs, fuzzing, DAST, Kubernetes, and cloud security expertise.

Build and operate scalable data pipelines, web scraping systems, and ML infrastructure for training, evaluating, and serving speech AI models. Responsibilities include improving GPU utilization, scheduling, observability, data quality, production reliability, and distributed-system troubleshooting. The role also contributes to MLOps practices and platform roadmap development.

Build and maintain internally facing web applications and automations for Operations teams. Develop full-stack features using Python, FastAPI, JavaScript or TypeScript, React, and Next.js. Collaborate with Product, Data Science, and Analytics teams to deliver scalable operational tools and pragmatic AI solutions, including LLM-powered workflows. Take ownership of technical decisions, testing, code quality, system design, and feature delivery in a product-focused environment.

Build and improve Lendable’s data platform by delivering scalable, reliable, secure, and cost-effective data solutions. Partner with product, analytics, and engineering teams to enable fast analytics and insight generation. Responsibilities include developing data-intensive systems, applying modern data architectures, managing cloud infrastructure and infrastructure-as-code, supporting CI/CD, evaluating build-versus-buy decisions, and improving platform operations while working autonomously in an ambiguous environment.

Build and deploy production AI and communications solutions for enterprise customers across EMEA. Responsibilities include architecting integrations, deploying LLM infrastructure and AI voice applications, building RAG pipelines, operating Kubernetes services, troubleshooting APIs and real-time communications systems, and leading projects from discovery through production launch. The role also owns customer outcomes, creates technical documentation, and addresses data residency, security, privacy, and compliance requirements.

Lead the architecture and development of an AI-powered Production Intelligence platform combining SRE, observability, agentic AI, and automated remediation. Build AI agents, MCP integrations, telemetry pipelines, anomaly detection, evaluation frameworks, and safe human-in-the-loop workflows. Define reliability practices including SLIs, SLOs, error budgets, incident response, and post-incident reviews. Mentor engineers, establish technical standards, and coordinate delivery across global application and infrastructure teams.

Build and maintain backend AI capabilities for GitLab Duo Chat: design flow components and agentic flows in Python/LangGraph, integrate LLMs and multi-agent orchestration, implement and maintain APIs in the Rails monolith, improve observability and reliability, and participate in on-call rotations and cross-functional collaboration to deliver safe, scalable AI chat features.

Build and own production-grade agentic AI systems end to end, including multi-agent orchestration, LLM and vision-language model integration, retrieval, memory, guardrails, evaluation, observability, and deployment pipelines. The role requires designing reliable systems for cloud, on-premises, air-gapped, and offline environments; handling large multimodal datasets; and setting technical direction for other engineers. Strong Python, software engineering, production AI/ML, and secure deployment experience are required.

Develop credit risk strategies that balance customer growth with portfolio risk. Build reporting and analytics, identify trends and emerging risks, evaluate data sources, improve credit decisioning, and present actionable insights. Collaborate with sales, data science, product, technology, engineering, and operations teams to support new propositions and customer segments.

Installs, operates, maintains, and de-installs humanoid robots at customer sites, rental venues, and trade shows. Provides remote and on-site technical support, diagnoses hardware and networking issues, manages spare parts and repairs, trains customers, performs fleet maintenance and upgrades, and escalates recurring problems for permanent resolution. The role requires extensive domestic and international travel, strong customer communication, mechanical assembly skills, and hands-on electronics troubleshooting.

Join the Indexes New Product Development team to design, develop, validate, and launch thematic and smart-beta indexes. Collaborate with research and product teams, build portfolio construction and analytics tools using statistical and machine learning methods, explore AI implementations, and produce white papers, factsheets, and client-facing materials to support product launches.

Build, maintain, research, and improve credit risk and customer lifetime value models used for lending decisions, pricing, and portfolio strategy. The role includes production model health, incremental development, causal estimation, IFRS accounting models, and applied R&D. You will own ambiguous analytical problems end to end, use AI for prototyping and automation, critically evaluate model outputs, and communicate technical conclusions clearly.

Own credit risk and Customer Lifetime Value modeling projects end to end, including research, production deployment, monitoring, and commercial impact. Set technical direction across multi-quarter initiatives, evaluate uncertainty and model calibration, improve existing models, and explore new machine learning approaches. Lead projects, communicate clearly, challenge assumptions with evidence, and use AI to accelerate prototyping and R&D.

Leads the technical program management function for Wayve’s AI Platform, overseeing data and compute infrastructure, developer tooling, training technology, compute management, and embedded inference optimization. Builds and coaches a TPM team, drives flagship programs, establishes governance and performance metrics, manages cross-functional dependencies, and partners with engineering leadership to improve developer velocity, compute efficiency, cost, and model training and inference performance.

Develop, integrate, debug, and maintain autonomy software for unmanned aircraft using C++ and Python. Integrate software with hardware, radios, sensors, and flight controllers; support SIL/HIL/VIL, lab and live flight testing; operate ground control systems; analyze flight data; troubleshoot field issues; and produce test and deployment documentation.

Lead the architecture, development, validation, and production deployment of onboard localisation and state-estimation systems for autonomous vehicles. Fuse GNSS, IMU, wheel odometry, and potentially camera, LiDAR, and RADAR data to deliver reliable real-time pose estimates. Define technical roadmaps, develop benchmarking and regression capabilities, manage fault handling and degraded modes, resolve cross-team integration issues, and mentor robotics and state-estimation engineers.

Build and maintain Azure-based data pipelines, warehouses, Data Vault and dimensional data marts using ADF, Azure SQL, and T-SQL. Develop Power BI datasets, semantic models, and reports; optimize stored procedures; investigate source systems; and implement data quality monitoring. The role also involves profiling datasets, validating business results, debugging data platforms, and collaborating with clients and a remote European team.

Leads a team of risk analysts responsible for managing and optimizing the insurer’s telematics footprint. Identifies profitable growth opportunities, analyzes loss ratios and performance KPIs, develops underwriting risk controls, and makes portfolio recommendations. The role also requires strategic stakeholder engagement, team coaching, customer fairness oversight, and strong knowledge of insurance pricing, competitors, and underwriting principles.

Leads a team of risk analysts within the telematics pricing function, identifying opportunities to expand or correct the insurance footprint. The role analyzes loss ratios and performance KPIs, develops underwriting risk controls, shapes portfolio growth strategies, and provides recommendations to stakeholders. It also involves coaching analysts, challenging processes, and ensuring fair customer outcomes while delivering profitable growth.

Lead the architecture, development, evaluation, and production deployment of LiDAR and cross-sensor 3D sensing systems for autonomous vehicles. Develop calibration, registration, temporal alignment, motion compensation, and sensor-fusion methods across LiDARs, cameras, and vehicle sensors. Establish evaluation methodologies and metrics, collaborate across engineering and research teams, and provide technical leadership and mentorship.

Lead client implementations of Seqera Platform across cloud, hybrid, and on-premises environments. Deploy infrastructure, networking, security, storage, containers, and compute resources; build reusable infrastructure-as-code tooling, tests, and documentation; and guide clients through technical constraints. Support pre-sales and proof-of-concept deployments, serve as a senior escalation point, and turn recurring implementation issues into lasting solutions.

Analyze short-term wholesale power markets, support price forecasting and trading strategies, monitor EDF portfolio optimization, and communicate time-critical risk information. Develop and maintain optimization models, data science applications, automated workflows, visualizations, and web tools. Improve application robustness through testing and refactoring, participate in peer reviews, train junior analysts, and collaborate with traders, asset managers, and international analytical teams while ensuring REMIT compliance.

Manages catastrophe exposure analytics, portfolio stochastic and deterministic appetites, outwards reinsurance netting, net portfolio blueprints, regulatory returns, and post-event analysis. Leads the Analytics and Regulatory team, supports catastrophe model validation, improves dashboards and processes, and communicates complex statistical and insurance insights to senior stakeholders. Requires catastrophe modelling or actuarial experience, people management, simulation platform expertise, SQL, advanced Excel, and strong knowledge of insurance, reinsurance, probability, and statistics.