Top Python Jobs in London

Build and operate reliable production data pipelines, ingestion systems, orchestration, customer data connectors, and infrastructure as code. Manage AWS-based data infrastructure using Terraform, Fivetran, AWS DMS, dbt, PostgreSQL, Lambda, and related services. Develop secure, enterprise-grade integrations for HR and payroll systems, and help connect trusted data to AI agents through MCP connectors and semantic data layers. Collaborate with product stakeholders to design scalable solutions meeting enterprise security and reliability standards.

Associate Product Manager responsible for discovering, defining, and delivering data products across a research data portfolio. The role gathers business and technical requirements, shapes roadmaps, analyzes opportunities, designs data models and integrations, coordinates engineering delivery, and supports end users. It requires strong data platform, ETL, API, systems integration, product discovery, Agile, stakeholder management, and technical requirements expertise.

Develop quantum error-correcting codes, decoding methods, logical error models, fault-tolerant operations, and simulation tools for neutral-atom quantum hardware. Benchmark QEC performance using realistic noise models and experimental data, contribute architectural inputs for future QPUs, document technical work, support patents, and represent Pasqal at conferences. The role requires collaboration across theoretical, numerical, and experimental disciplines.

Build and deploy production machine learning models and fraud decisioning tools. Partner with business teams to identify performance gaps, automate repetitive work, run experiments, and optimize transaction-risk strategies. Write production and analytical Python code, use SQL and distributed data platforms such as Spark, Databricks, and GCP, and communicate findings to technical and business audiences. Participate in code reviews, peer collaboration, and an on-call weekend rotation approximately six times annually.

Provide day-to-day operational support for cloud security and compliance across AWS, Azure, and GCP. Monitor security controls, investigate vulnerabilities and misconfigurations, coordinate remediation, manage CSPM and CNAPP tooling, implement security baselines, develop automation, maintain documentation and runbooks, and participate in incident response, troubleshooting, root cause analysis, and continuous improvement.

Provide technical support to B2B customers by troubleshooting API integrations, diagnosing issues, handling escalations, and collaborating with engineering teams. Develop internal tools and automation using APIs, create knowledge-base documentation, and communicate product capabilities clearly. The role also involves identifying recurring customer problems, sharing technical feedback, and influencing product improvements.

Leads multidisciplinary engineering squads delivering large-scale banking technology programs. Responsibilities include setting engineering strategy, guiding cloud-native and microservices architecture, owning end-to-end delivery, enforcing quality and security standards, driving DevOps and operational excellence, managing stakeholders and risks, and developing distributed engineering teams. The role also oversees governance, release readiness, technical debt reduction, platform modernization, regulatory compliance, and production stability across strategic banking initiatives.

Lead client analytics and consultancy projects using credit bureau data, statistical modeling, SQL, and Python. Develop credit strategies, scorecards, and models; perform data preparation, exploratory and performance analysis, and communicate findings to clients, sales teams, and senior stakeholders. Support customer solution design, proposals, presentations, and regulatory considerations relating to consumer credit and consumer duty.

Build and own Python-based curves, pricing, VaR, and risk platforms for oil, gas, and LNG commodities. Engineer dependency graphs, distributed scenario and P&L computation, and scalable numerical workloads using Ray and AWS. Improve performance, reliability, testing, observability, and CI/CD while partnering with quants, market-data engineers, and middle-office teams. The role requires end-to-end production ownership and strong understanding of commodities pricing, curves, P&L, and risk.

Lead development of production-grade real-time control software for advanced robotic systems. Design control architectures, implement deterministic control loops, industrialize research algorithms, and integrate software across embedded and Linux-based platforms. Establish testing, release, safety, reliability, and performance standards, including simulation, hardware-in-the-loop, regression, and profiling. Collaborate with hardware and safety teams on fail-safes and graceful degradation, while mentoring engineers and guiding the control software roadmap.

Own Pigment’s product, infrastructure, and CI/CD security roadmap as a hands-on technical leader. Responsibilities include threat modeling, secure architecture and code reviews, vulnerability management, assurance testing, detection engineering, incident response, and secure SDLC guidance. The role partners closely with product, engineering, and SRE teams, designs security for AI features and agent identities, strengthens least privilege, and builds automation across cloud and production environments.

Participate in a structured software development internship with two weeks of technical training followed by a seven-week project embedded in Maven engineering teams. Collaborate with developers and traders on real-world technology problems, learn C++, C#, Python, TypeScript, React, and emerging AI technologies, use in-house tools, and receive ongoing mentoring and feedback.

Lead client onboarding and end-to-end integrations for fraud and compliance products. Analyze technical and functional requirements, design scalable solutions, manage implementation projects, maintain API and SDK documentation, support clients throughout deployment, mitigate risks, and coordinate deliverables across internal and external technical teams. Provide product feedback based on customer needs and use SQL, JSON, APIs, scripting, and web development tools to build integrations and internal solutions.

Lead the architecture and production delivery of AI agents and intelligence systems for payments. Build reliable, low-latency LLM applications with tool use, orchestration, memory, RAG, multilingual conversations, evaluation, observability, and safety guardrails. Develop merchant intelligence and AI operations automation, mentor engineers, establish technical direction, and collaborate across Product, Data Science, and engineering teams in a compliance-sensitive global environment.

The Deployment Strategist at Northslope Technologies works with enterprise clients to create data-driven solutions that drive operational changes, utilizing strong analytical and collaborative skills.

The Deployment Strategist will work with enterprise clients to develop data-driven solutions that transform operations, delivering exceptional customer success through analytical excellence and proactive project management.

Design and build complex, business-critical data pipelines and ML/LLM-powered clinical extraction systems. Collaborate with clinicians, product, and global engineering teams to scale solutions, maintain quality and security, and help grow the European engineering organization while developing UK healthcare domain knowledge.

Partner with customers after the sale to deploy, integrate, and optimize AI security solutions across cloud, on-premises, and hybrid environments. Provide technical guidance on Docker, Kubernetes, cloud networking, and infrastructure as code; troubleshoot issues; deliver training and documentation; and serve as the primary technical contact. Capture customer feedback and collaborate with product, engineering, and research teams to improve products and support successful scaling.

Join the International Accelerator full-stack team to design, build, and operate Direct-to-Consumer products across international markets. Break projects into tasks, collaborate with PM/design/analytics, build and monitor APIs and web apps, support on-call and availability, participate in hiring and team growth, and write clear, well-tested, maintainable code.

Owns architecture, technical strategy, and roadmaps across Arbor’s core product suite and multiple engineering teams. The role guides architectural transformation, AI-first SDLC adoption, system design, technical debt reduction, and complex initiative delivery. It partners with product and engineering leadership, mentors Technical Leads and Senior Engineers, leads architectural reviews, and ensures quality, reliability, security, and compliance standards. This is a strategic technical leadership role focused on coaching and delivery rather than hands-on coding.

Embedded within the commercial team, the Senior Data Analyst will own core sales and revenue metrics, improve pipeline and forecast accuracy, investigate CRM data quality, size commercial opportunities, and analyze partner, retention, and renewal performance. The role translates ambiguous business questions into actionable recommendations, defines trusted metric frameworks, communicates insights to senior stakeholders, and increases self-service analytics adoption across non-technical commercial teams.

Embedded within the commercial team, the Staff Data Analyst will own trusted metrics for conversion, contracted volume, sales, margins, pipeline, and forecasting. Responsibilities include improving forecast accuracy, diagnosing CRM and transactional data quality issues, analyzing commercial opportunities and partner performance, identifying risks and trends, and translating complex findings into recommendations for senior stakeholders. The role also promotes metric adoption and self-service analytics across non-technical commercial teams.

Lead and deliver full‑stack features for international direct‑to‑consumer products. Collaborate with product, design, and analytics; own operations, metrics, on‑call, code quality, and talent development while driving technical design and execution.

Leads enterprise pre-sales engagements for post-quantum cryptography, certificate lifecycle management, private PKI, and machine identity security. Advises CISOs and technical stakeholders, conducts cryptographic assessments, designs solutions, delivers presentations and workshops, and leads proofs of concept and implementations. Supports proposals, RFPs, technical enablement, product feedback, partner initiatives, and customer adoption. Requires extensive PKI and enterprise security expertise, strong consulting and communication skills, and more than 35% travel.

Build and operate Azure cloud platform foundations, including landing zones, identity and access management, networking, shared services, and Terraform-based infrastructure. Develop automation and CI/CD pipelines, support platform operations and incident response, perform maintenance and upgrades, and enable self-service for application teams. The role also involves documentation, governance, security controls, and collaboration with platform, security, and FinOps teams.