Top Python Jobs in London

Develop scalable backend services and APIs, create coding tasks and deterministic verifiers for AI systems, debug complex codebases, optimize performance, refactor legacy systems, implement features, and provide technical reviews and reasoning. The role is remote, contract-based, and part-time at 15–20 hours per week.

Build, operate, and improve Azure-focused cloud infrastructure supporting software development, testing, and production. Develop Infrastructure-as-Code, maintain CI/CD pipelines, manage containerized workloads, implement observability, troubleshoot incidents, improve security and reliability, and automate deployment workflows. Collaborate with engineering teams to deliver scalable, cost-efficient platforms.

Build and operate production machine learning systems supporting customer engagement, marketing, pricing, personalization, and commercial decision-making. Own data ingestion, feature engineering, deployment, monitoring, and optimization across the ML lifecycle. Develop reusable MLOps tooling and infrastructure, influence architecture, partner with Applied Scientists and Data Engineers, and mentor engineers while delivering scalable solutions with measurable customer and business impact.

Leads data science strategy and advanced analytics across drug development programs. Develops statistical, AI, and machine learning models using multimodal clinical and omics data; guides biomarker discovery, precision medicine, trial analysis, and evidence generation. Establishes reproducible pipelines and data quality standards using Python, R, SQL, and cloud platforms. Manages and mentors data scientists while influencing clinical, statistical, and senior leadership decisions.

Design and scale advanced analytics, statistical, machine learning, and AI solutions for Life Sciences customers across Europe. Integrate Veeva Data Cloud with healthcare datasets, build HCP precision-engagement models, translate technical insights into business value, collaborate with cross-functional teams, and document methodologies, architectures, and validation processes.

Leads end-to-end network verification and performance testing across cellular, WiFi, broadband, IP, and AWS-connected environments. Configures testbeds, executes functional, regression, interoperability, resiliency, and performance tests, analyzes traffic and logs, troubleshoots Layer 2–7 issues, performs root-cause analysis, and documents defects and test results. Develops automation using Python or Bash and integrates network verification into CI/CD workflows while collaborating with engineering, DevOps, infrastructure, and network operations teams.

Leads a security engineering team responsible for defining and delivering the security roadmap, designing secure cloud services and platforms, and implementing security tooling. The role combines people management, technical leadership, roadmap and product strategy contributions, design reviews, code reviews, hands-on engineering, recruitment, process improvement, and engineer development. Candidates need experience managing product-aligned engineering teams and securing modern cloud-native technology stacks.

Develop production-grade quantitative research infrastructure and agentic AI pipelines, migrate R code to Python, automate workflows, and support quantitative research on financial signals, backtesting, and factor models. The role gradually shifts from engineering toward independent research ownership, including data evaluation, signal construction, empirical testing, diagnostics, and methodology documentation.

Manage day-to-day trading and investment operations across public equities and digital assets. Responsibilities include trade lifecycle support, reconciliations, settlement, cash and wallet management, counterparty onboarding, P&L and risk reporting, operational controls, and process improvements. The role coordinates with trading, finance, compliance, technology teams, custodians, exchanges, brokers, and other external vendors.

Build and operate MLOps platform components: pipelines, model registries, deployment, monitoring, drift detection, and retraining. Collaborate with Data Science and Data Engineering to establish reproducible, scalable ML lifecycles, governance, and CI/CD for production ML services, and mentor junior engineers.

Conduct advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Identify and exploit novel, systemic, and chained vulnerabilities; develop proof-of-concept exploits, testing methodologies, and research automation; assess AI attack vectors and open-source dependencies; drive remediation and security improvements; advise engineering teams, contribute to roadmaps, mentor researchers, and share findings with the security community.

Conducts advanced application security research across GitLab’s DevSecOps and AI-powered platforms. Responsibilities include discovering and exploiting systemic vulnerabilities, penetration testing, developing proof-of-concept exploits, researching AI and agentic security threats, building automated research tooling, coordinating remediation, mentoring security professionals, and communicating findings to engineering and security communities.

Gather and analyze open-source online data, including social media, to identify trends, threats, and online harms. Design quantitative and qualitative research methods, maintain databases, produce concise analytical reports, present findings to clients, and support strategic insight projects. The role also involves developing research methodologies, responding to demanding reporting schedules, building subject-matter expertise, supporting business development, and participating in on-call incident response.

Provides financial oversight and analysis for R&D, Product, and IT functions. Builds product-level P&Ls, investment cases, infrastructure cost models, and AI ROI analyses. Tracks delivery performance, technology spending, capacity allocation, and realized investment value. Partners with technical leadership, establishes governance frameworks, and develops reporting dashboards to support investment decisions and programme performance.

Develop and maintain production data science models for attribution, marketing mix modelling, incrementality testing, and brand impact measurement. Lead projects end to end, select modelling approaches, debug unfamiliar codebases, apply AI tooling, collaborate with QA, communicate technical findings to clients, and mentor junior colleagues. The role requires strong Python, SQL, machine learning, production engineering, stakeholder communication, and independent ownership.

Leads design and implementation of scalable full-stack features, secure REST APIs, and production software. Responsibilities include incident response, on-call support, security compliance, technical debt reduction, code reviews, testing, architecture best practices, and mentoring. The role requires strong Python, Django, PostgreSQL, React, API development, and application security expertise, with a hybrid London work arrangement.

Build and scale backend and data systems supporting Spotify’s content intelligence platform. Design distributed infrastructure for high-throughput processing of audio, video, text, and images; own projects from architecture through operation; contribute to RFCs, AI/LLM workflows, production integrations, engineering standards, and on-call support. Collaborate with engineering and technical stakeholders to deliver reliable, scalable, performant, and cost-efficient solutions.

Lead the implementation and continuous improvement of enterprise Data Loss Prevention capabilities. Configure and optimize Netskope, Microsoft Purview, Wiz, and Kiteworks; manage data discovery, classification, labelling, secure file sharing, and DLP alerts. Investigate incidents, produce audit reporting, maintain security standards, and partner with cybersecurity, legal, compliance, privacy, and technology teams. Support automation, vendor management, regulatory compliance, and broader data security improvements.

Process and produce accurate financial information, support management accounts, financial statements, budgeting, forecasting, reconciliations, accounts payable and receivable, general ledger maintenance, compliance, and audits. The role also develops automation using Python, SQL, VBA, and Excel, improves finance workflows, and collaborates with technical and non-technical stakeholders.

Design, build, and operate AI-native production systems and agentic workflows at scale. Integrate LLMs and observability to automate incident detection and remediation, maintain CI/CD and IaC pipelines, champion engineering best practices, mentor teams, and ensure compliance within a regulated financial environment.

Leads development of high-performance C++ software, real-time and distributed simulation systems, and complex software and hardware integrations. Architects scalable systems-of-systems solutions, establishes technical standards, mentors engineers, and leads projects with 10 or more contributors. Responsibilities include debugging, optimization, agile development, continuous integration, test-driven development, task decomposition, and collaboration across teams.

Deploys, integrates, maintains, and develops AI training factory components in isolated environments. Responsibilities include integrating tooling onto hardware, managing software updates and configuration across environments, ensuring platform reliability, coordinating with autonomy teams, troubleshooting distributed systems, and developing automation. The role requires cloud, Kubernetes, Linux networking, C++ or Python application support, and onsite availability in London.

Design and build production-grade mission, behavior, and motion planning systems for autonomous ground support vehicles in airport environments. Responsibilities include selecting planning algorithms, defining software architecture, optimizing trajectories, handling uncertainty, collaborating with perception and controls teams, promoting functional safety practices, and mentoring engineers. The role requires strong C++ or Python skills, Linux experience, autonomous systems planning expertise, and the ability to independently solve complex technical problems.

Accountable risk leader for the UK entity, overseeing enterprise risk framework, regulatory and prudential requirements, outsourced Group risk service delivery, and risk MI. Provide 2nd-line oversight across financial, operational, conduct, and third‑party risks, engage with the FCA, and build local risk capability while managing intra‑group service quality and regulatory compliance.

Conduct original alpha research on global macro assets, building and testing predictive signals (trend timing and directional). Model dynamics across rates, FX, equities and commodities, evaluate signals statistically, contribute to portfolio construction and risk analysis, monitor live strategy performance, and collaborate with researchers and portfolio managers to implement and refine trading strategies.