Top Python Jobs in London

Design, develop, test, debug, and document embedded software, firmware, and low-level drivers for resource-constrained and real-time environments. Collaborate with clients, project teams, and project managers on requirements, technical recommendations, planning, and delivery. Contribute to presentations, pitches, company strategy, and complex technical problem-solving while maintaining secure, high-quality engineering practices.

Develop high-performance C++ SDKs that expose computer vision capabilities, deploy and optimize machine learning models across Qualcomm, Intel, and NVIDIA hardware, benchmark model performance, and build Python automation and CI/CD pipelines for testing and deployment. The role requires expertise in modern C++, Python, model deployment frameworks, and Docker, with bonus experience in deep learning, model conversion, and quantization.

Manage Xtrackers ETF/ETP primary market processes, improve capital markets operations, mitigate risks, and support product launches and listings. Build relationships with market makers, authorized participants, broker-dealers, exchanges, and infrastructure providers. Analyze market intelligence, competitor products, trading activity, and high-frequency data while maintaining European ETP market data quality. Partner with Trading, Operations, Product, Legal, Compliance, Sales, and Portfolio Management teams on platform development and strategic initiatives.

Manage Xtrackers ETF and ETP primary-market processes, improve creation and redemption mechanisms, mitigate operational risks, and support product launches. Build relationships with market makers, authorised participants, exchanges, and broker-dealers. Produce market intelligence, competitor analysis, trading analytics, and high-frequency data insights while maintaining European ETP market data quality. Collaborate across trading, operations, product, legal, compliance, sales, and marketing teams to enhance market liquidity, platform capabilities, and client outcomes.

Lead the strategy, engineering roadmap, and team responsible for AI, data products, risk automation, third-party due diligence, and continuous assurance. Build governed, enterprise-grade solutions using LLMs, agentic workflows, data platforms, and automated controls testing. Partner with senior stakeholders across Risk, Compliance, Privacy, Data, Legal, Product, and Technology while establishing operating models, responsible AI practices, data governance, access controls, monitoring, and reliability standards.

Sell financing products, including repo, money markets, and structured financing, to financial institutions across the UK, MENA, and Switzerland. Manage existing and prospective client relationships, execute trades through voice and electronic systems, analyze financing needs and risks, support onboarding and KYC requirements, collaborate with trading and eSales teams, and distribute research and trade ideas. The role requires advanced financing expertise, strong product pricing knowledge, and precise execution in a fast-paced market environment.

Analyze and manage natural catastrophe exposure across insurance and reinsurance lines. Perform group roll-ups in Resolver, interpret modeled catastrophe risk, produce reports, integrate ceded contracts, optimize analytics workflows, automate processes, and support model validation, model adoption, governance, research, and other risk analytics projects. Collaborate with stakeholders to provide actionable insights and recommendations despite uncertainty or incomplete data.

Leads claims data analytics for UK Claims Operations, developing KPI dashboards, self-service reporting tools, statistical analyses, and management information. Provides insights to improve productivity, customer experience, claims outcomes, and operational efficiency. Ensures regulatory and internal policy compliance, supports data literacy, advises colleagues, and collaborates with stakeholders across the organization.

Leads ETF/ETP primary-market processes, including creation and redemption activity, operational efficiency, risk controls, market data quality, and process improvements. Manages relationships with authorised participants, market makers, broker-dealers, exchanges, and infrastructure providers. Supports product launches, listings, market structure initiatives, competitor analysis, trading analytics, and client engagement while providing capital-markets expertise across internal teams.

Lead ETF and ETP primary-market processes, improve creation and redemption mechanisms, manage operational risks, and develop market intelligence and trading analytics. The role owns relationships with authorised participants, market makers, broker-dealers, exchanges, and infrastructure providers. It partners across trading, operations, product, legal, compliance, sales, and marketing to support product launches, listings, market data quality, liquidity, and broader capital-markets strategy.

Build, optimize, and maintain secure batch and streaming data pipelines using Snowflake and cloud platforms. Develop data models, support ingestion and transformation, apply governance and security practices, and collaborate with architects, engineers, analysts, and clients. The role also involves performance tuning, data solution delivery, technical leadership, mentoring engineers, and contributing reusable assets and best practices to the data engineering practice.

Designs and delivers scalable modern big data platforms, including streaming, data lake, and lakehouse architectures. Advises senior client stakeholders on data strategies, cloud-native modernization, governance, analytics, and AI integration. Leads solution design, implementation, transformation initiatives, and technical collaboration across multiple sectors. Contributes thought leadership, reusable assets, and practice growth while aligning data platforms with measurable business outcomes.

Designs and delivers scalable batch and streaming data pipelines using Databricks and Lakehouse architectures. Responsibilities include ETL/ELT development, data modeling, Delta Lake optimization, governance, security, orchestration, and cloud integration. The role is client-facing and involves collaborating with architects, engineers, ML teams, analysts, and senior stakeholders. It also requires mentoring engineers, improving data practices, enabling analytics and AI use cases, and contributing reusable assets and technical leadership.

Leads large-scale platform initiatives and provides technical direction, mentorship, and architectural oversight. Designs, develops, and operates highly scalable, reliable distributed data systems at petabyte scale. Builds data platforms, ETL pipelines, file-processing systems, and multi-tenant data engines supporting analytics and machine learning. Optimizes performance, cost, and reliability; strengthens observability, security, code quality, and documentation; troubleshoots complex issues; and collaborates with cross-functional stakeholders.

Supports incrementality testing and marketing mix modeling by validating client data, assessing experimental designs, running analyses, interpreting diagnostics, investigating model-trust queries with SQL, and reconciling measurement results. The role also includes client explainer sessions, documentation, methodology fact-checking, incident logging, and workflow improvement. Work is performed under detailed supervision with structured development toward independent testing, MMM delivery, and automated trust monitoring.

Own firewall policy management and network security operations across regulated enterprise environments. Administer AlgoSec to automate policy governance, risk analysis, access recertification, change governance, and compliance reporting. Manage multi-vendor firewalls, optimize rules, support incidents and exceptions, and build automation using scripting and configuration-management tools. Advise technical and executive stakeholders on security posture, resilience, regulatory obligations, and business needs.

Lead an AI platform engineering team that builds cloud-native tools and platforms enabling employees to use AI safely and productively. Manage engineers, own technical deliverables and roadmap strategy, conduct design reviews and code reviews, perform hands-on development, measure platform impact, and support career development, recruitment, and engineering-wide initiatives.

Leads DevOps and SRE strategy, roadmap, team development, cloud platform reliability, CI/CD, infrastructure as code, security, identity, observability, incident response, disaster recovery, and cost management. Owns Azure infrastructure across environments while supporting AWS and Snowflake. Establishes automation-first standards, advances AI-assisted engineering operations, governs architecture and compliance, manages vendors, and serves as an escalation point for major incidents and client environment changes.

Conduct actuarial research for UK life and health reinsurance, producing and monitoring pricing and valuation assumptions across mortality, morbidity, persistency, longevity, and annuity products. Develop statistical and predictive models, improve processes through programming and automation, manage research projects, contribute to market strategy, and communicate technical findings through client presentations, industry working parties, and internal committees.

Lead the technical direction and delivery of complex AI and software projects. Architect and maintain scalable production systems, define project roadmaps, oversee high-risk delivery, develop shared engineering libraries, and guide architectural decisions. Lead hiring, mentor engineers, advise customers, estimate workstreams, recommend technologies, and coach technical and non-technical stakeholders.

Lead the technical direction and delivery of complex machine learning and software projects. Architect scalable production systems, define roadmaps, manage high-risk workstreams, develop reusable libraries, mentor and hire engineers, evaluate technologies, estimate work, and advise customers and stakeholders. The role combines advanced software and ML engineering with team leadership, technical coaching, client delivery, and solution architecture.

Ten-week technical internship within Virtu Execution Services, covering algorithm development, technology support, analytics, workflow automation, execution investigation, and process improvement. Interns will work with vendors and institutional and retail clients, apply technology to financial-market products, solve client queries, and collaborate with technical teams. Candidates complete an online programming assessment through HackerRank.

Present Snowflake’s AI Data Cloud to executive and technical audiences, lead value-based demonstrations and enterprise proofs of concept, support solution design and implementation, and help close complex sales. The role requires expertise in data platforms, analytics, cloud technologies, generative AI, machine learning, RAG, LLM deployment, data governance, data modeling, and data engineering. The engineer collaborates with sales, channel partners, Product Management, Engineering, and Marketing throughout customer sales cycles.

Manage and evolve AWS and secure on-premises environments, providing L3 production support and 24/7 on-call coverage. Build and maintain Kubernetes, Kafka, database, identity, caching, CI/CD, and observability platforms. Automate infrastructure and pipelines, improve testing and service resilience, manage incidents and changes through ServiceNow, address technical debt, and support secure data replication and critical national infrastructure deployments.

Own technical relationships with enterprise and government customers across the Nordics. Design enterprise architectures, lead customer evaluations and pilots, demonstrate AI solutions, translate business needs into technical solutions, advise on best practices, gather product feedback, and collaborate with account executives, partners, Product, and Engineering teams to drive adoption and scale solutions architecture processes.