Top Python Jobs in London

Develop and maintain data pipelines, processing workflows, infrastructure-as-code, containers, and CI/CD pipelines using Python, Spark, Airflow, AWS, Terraform, Docker, and GitLab. Integrate secure data exchanges, support platform products, build Jupyter notebooks, and contribute to architecture, testing, code reviews, Agile delivery, performance, and security. The role also mentors junior developers and collaborates with data engineering, DevOps, and product teams.

Own the end-to-end design, reliability, resilience, and recovery of production data ingestion systems and pipelines. Build batch and streaming ETL/ELT workflows, establish data quality checks and SLAs, improve monitoring and alerting, resolve platform issues, reduce technical debt, and optimize performance and cost. Collaborate with stakeholders, AI teams, and international expansion initiatives while supporting time-series, textual, and event-stream data workloads.

Analyze data using Snowflake and Kibana to deliver tailored fraud-prevention insights for global retail clients. Advise strategic accounts on product best practices, communicate complex findings to non-technical stakeholders, monitor fraud trends, and lead analytical projects from inception through completion. Collaborate with Sales, Customer Success, and Analytics teams to maximize client value across the EMEA region.

Conducts pre-sales activities for Ping Identity solutions, including demonstrations, presentations, technical guidance, proof of concepts, and RfX responses. Acts as a technical advisor to customers, partners, and internal teams while collaborating with sales and post-sales teams throughout the sales cycle. Leads customer meetings, provides product feedback, mentors junior engineers, and develops subject-matter expertise in IAM solutions. Travel across the UK and internationally may comprise 15%–40% of the role.

Designs, implements, integrates, configures, tests, and operates Identity and Access Management and Privileged Access Management solutions. Responsibilities include gathering requirements, defining architectures and processes, onboarding applications, managing identity lifecycles, access governance, privileged accounts, authentication, audits, documentation, testing, and production rollouts. The role supports client security transformations and requires collaboration with delivery teams, architects, stakeholders, and governance consultants.

Detect, analyze, and respond to security incidents in real time across Windows, macOS, and Linux. Perform malware and forensic analysis, remote remediation, develop detection and triage processes, produce customer-facing communications, mentor and quality-assure junior analysts, manage programs/teams, and contribute to public thought leadership.

Lead high-impact growth strategy and business analytics projects across Fever’s international markets. Develop data-driven strategies, end-to-end solutions, new business streams, workflows, and growth initiatives across up to 40 countries. Work independently while collaborating with multiple departments and stakeholders to improve company performance, launch new experiences, and support strategic decision-making.

Build and maintain production connectors between HASH and SaaS applications, enterprise services, databases, and customer APIs. Responsibilities include API reverse engineering, authentication, reliable full and incremental synchronization, webhooks, event streams, retries, backfills, two-way sync, schema mapping, provenance preservation, testing, observability, security, and documentation. The role collaborates with platform engineers, customers, and technical teams while contributing to open-source integration infrastructure and using AI-assisted development responsibly.

Own enterprise pilot engagements from discovery through delivery and evaluation. Lead customer interviews and workshops, model complex domains, translate objectives into technical and workflow requirements, define KPIs and credible evaluation methods, analyze results, and produce rigorous reports and case studies. Work across Sales, customers, AI Success Engineers, researchers, product engineers, Marketing, and external evaluators while accurately communicating uncertainty and outcomes.

Lead Analytics Engineer mentors analysts, defines data infrastructure roadmap, builds and maintains core datasets and analytics pipelines, drives adoption of tooling (dbt, Airflow, BI), and enforces data modelling, monitoring, testing, and best practices.

Detect, investigate, and respond to security incidents; maintain logging and SIEM operations; build detections and visibility; support PCI/SOC2/ISO audits; manage endpoint, email, and GitHub security; collaborate across teams and improve on-call and security tooling.

Designs, develops, and operationalizes large-scale backend, API, graph, AI, and machine learning solutions. Responsibilities include technical leadership, cloud-native architecture, roadmap development, testing, code reviews, mentoring, recruitment, stakeholder communication, and improving engineering processes. The role requires extensive Java and Spring experience, AWS cloud development, RESTful APIs, stream processing, low-latency applications, generative and agentic AI, and strong software delivery practices.

Build and productionize tooling that compiles complex Python packages such as NumPy, SciPy, and PyTorch from source. Develop conda recipes, build tools, automation, and release processes; partner with packaging and distribution teams; mentor engineers; and lead postmortems, capacity planning, and incident response. The role also shapes technical strategy, architecture, project scope, and delivery decisions for build and distribution infrastructure.

Lead enterprise customer engagements from discovery through implementation, adoption, and value realization of BigPanda AIOps solutions. Serve as a hands-on technical architect and advisor, designing integrations, guiding AI readiness, resolving complex operational issues, managing project delivery, and partnering with Sales, Product, R&D, and customers. Contribute to Professional Services practices and support strategic transformation initiatives. The role requires Python or Node.js coding and 10–20% customer travel.

Own the design, delivery, and operation of complex data pipelines, datasets, and platform components. Translate business needs into scalable data models and reliable data products, improve data quality and observability, resolve production issues, and establish reusable engineering tools and standards. Collaborate with product and business stakeholders, contribute to architecture decisions, mentor engineers, and participate in on-call support.

Lead end-to-end ML initiatives: integrate and fine-tune models, optimize GPU inference for latency and throughput, build evaluation and monitoring tooling, collaborate on scalable serving systems, and mentor engineers.

Drive growth of electronic Rates sales by interfacing with clients, trading, e-strats and technology. Analyze e-trading performance, build client analytics and dashboards, support onboarding to electronic venues, manage client tiering, and partner on automation and platform enhancements to scale the eRates franchise.

Serve as the technical bridge to integration partners across EMEA: design, build, validate, and demo integrations with the CrowdStrike Falcon Platform; support partner sales and OEM/embedded deals; run POVs, RFI/RFP responses, and NFR evaluations; create enablement materials, demo environments, and integration documentation; track adoption metrics and collaborate on scalable onboarding and AI-driven efficiency improvements.

Lead operational analytics for international market launches (starting with Australia). Build scalable measurement, reporting, and experiments; define metrics, create dashboards, generate insights, and translate findings into recommendations. Partner across Product, Risk, Finance, Commercial, and Operations, run metric reviews, and mentor junior analysts to drive growth, profitability, and operational excellence.

Build financial, commercial, unit economics, and project finance models supporting market entry, partnerships, acquisitions, and product decisions. Evaluate financing structures, cash flows, valuations, and strategic opportunities; prepare board, investor, and lender materials; and present recommendations to senior stakeholders. Develop AI-enabled internal tools and dashboards while partnering with Markets and Data Science teams. The role requires frequent US travel and collaboration with London and California-based colleagues.

Build and operate highly available GCP infrastructure for international engineering teams and customer deployments. Manage Kubernetes clusters, automate deployments, develop internal infrastructure tooling, and oversee monitoring, alerting, maintenance, and incident response. Establish async handoffs for continuous global coverage across EU, US, and APAC teams. The role also supports agentic AI and LLM workflows, with opportunities to work on data pipelines and stream-processing architectures.

Provide hands-on technical leadership for post-sales customer deployments of an AI security and governance platform. Translate use cases into configurations, integrations, automations, workflows, and production-readiness plans. Diagnose complex technical issues, guide API and scripting integrations, lead customer workshops, create reusable runbooks, and coordinate escalations with Support and Engineering. The role partners across Customer Solutions, Product, Research, Security, and Support to drive scalable technical adoption.

Develops Power BI dashboards, gathers stakeholder requirements, analyzes business metrics, and delivers actionable insights. Leads BI projects, mentors junior team members, maintains documentation and process compliance, supports data automation, and collaborates with IT and business solutions teams on data initiatives. Requires advanced Excel and SQL skills, expert Power BI knowledge, large dataset experience, and strong stakeholder and team management capabilities.

Provides senior technical leadership for an engineering team by shaping technical direction, architecture, roadmaps, and engineering standards. Leads technical discovery and solution design, drives code quality, testing, reliability, and performance, and collaborates across teams. Mentors engineers, influences technical decisions, and connects engineering work to customer and business outcomes while contributing hands-on.

Define and grow AiDE, Reserv’s insurance technology product for the London market. Shape the roadmap using carrier and delegated authority expertise, identify workflow improvements, prioritize requirements, and translate customer needs into precise specifications. Serve as the technical liaison throughout discovery, integrations, demos, pilots, and post-sale implementation. Partner with product and engineering teams to deliver high-quality products, influence team processes, and support carrier success.