Top Python Jobs in London

The Senior Research Engineer will develop and deliver scalable ML solutions, collaborate with teams, and apply innovative technologies in AI to impact professionals in legal and accounting fields.

Develops computational models and parametric workflows for architecture, urban design, planning, landscape architecture, and engineering projects. Integrates 3D modeling, GIS, BIM, software development environments, and diverse project data. Collaborates with clients and multidisciplinary teams, provides technical education, communicates design concepts, and creates project presentations and reports. Requires strong Rhino and Grasshopper expertise, Python programming, relevant professional experience, and a portfolio demonstrating computational design work.

Leads the strategy, people, technical direction, governance, and delivery of data science, analytics, and AI capabilities supporting pharmaceutical R&D portfolio investment and resource-management decisions. Builds and develops multidisciplinary teams, delivers production-grade analytics applications, partners with senior stakeholders, establishes standards and data-quality practices, and promotes responsible AI in a regulated environment.

Build and maintain scalable, secure data infrastructure and ETL pipelines supporting data-driven sports pricing and risk systems. Responsibilities include data architecture, relational database design, SQL and Python development, Kafka-based pipelines, AWS services, storage and recovery, data security, systems integration, troubleshooting, optimization, documentation, and collaboration with clients and cross-functional stakeholders.

Design and develop Java and Python applications, lead projects, and mentor junior developers. Ensure robust application testing and support production issues.

Develop and deploy reliable embedded hardware and software for autonomous aerial and robotic platforms. Responsibilities include hardware and sensor integration, precise synchronization, embedded Linux and firmware, onboard runtime services, fleet deployment tooling, hardware-in-the-loop testing, edge AI optimization, autopilot integration, and field testing. The role requires hands-on debugging across hardware, software, timing, and networking, plus soldering and systems integration.

Manage banking and software delivery projects from planning through implementation. Coordinate requirements, development, testing, UAT, releases, risks, dependencies, governance, and stakeholder communication. Analyze data, prepare executive reporting, facilitate Agile delivery, assess regulatory impacts, and improve processes using AI and automation. Collaborate with business, product, engineering, QA, infrastructure, and operations teams.

Analyze participant support and biosample operations data to identify trends, bottlenecks, discrepancies, quality issues, and root causes. Develop reporting, metrics, monitoring, forecasts, and capacity analyses, using SQL and exploratory analysis across multiple systems. Partner with technical and operational teams to improve data quality, communicate findings, and provide recommendations that strengthen operational efficiency and participant experience.

Build and operate production backend microservices, APIs, databases, and high-throughput data pipelines using Go and Python. Improve system scalability, latency, reliability, observability, and cost while contributing to deployment tooling, cloud infrastructure, and database performance. Collaborate with analysts, product managers, AI engineers, and frontend teams to deliver end-to-end features. The role requires production software engineering experience and eligibility for UK security clearance.

Build and operate production AI services for a multi-agent analyst platform. Responsibilities include agent orchestration, retrieval, embeddings, graph analytics, streaming pipelines, APIs, databases, model integration, cloud infrastructure, evaluation, observability, reliability, and security. The role owns features end to end across Python and Go, partners with analysts and ML researchers, and takes experimental AI capabilities into scalable production systems.

Build and operate production AI services in Python and Go, including multi-agent orchestration, retrieval, graph analytics, APIs, databases, and streaming pipelines. Develop analytical AI features, integrate and serve ML models, evaluate improvements against live analyst traffic, and ensure latency, cost, reliability, and security. Own well-scoped components end to end while collaborating with analysts, product, data, and ML teams.

Build and operate production backend microservices and data pipelines using Go and Python. Design APIs, databases, indexing strategies, and distributed systems; improve scalability, latency, reliability, and observability; and contribute to cloud infrastructure, deployment tooling, and CI/CD. Collaborate with analysts, product managers, AI, and frontend teams to deliver secure, high-impact features for government, defense, and other complex environments.

Leads strategically important data science initiatives across complex business domains. Shapes data strategy, develops measurement frameworks, applies experimentation, causal inference, forecasting, optimization, and decision science, and partners with senior leaders to drive measurable outcomes. Remains hands-on with complex analyses, experiments, models, and prototypes while establishing technical standards, governance, reproducibility, and documentation. Coaches data scientists and analytics engineers and stewards critical data products end to end.

Lead Operations analytics partnering with senior operations leaders to own MI, KPIs, forecasting and workflow optimisation. Hands-on role delivering SQL/Python analyses, measuring automation/AI impact, guiding resourcing decisions and translating results into action.

Build and maintain scalable dbt data models and pipelines supporting analytics and data science. Translate business requirements into dimensional warehouse schemas, define trusted metrics, implement testing and documentation, optimize SQL and models, and contribute to semantic and BI layers for AI-driven self-service. Use AI coding assistants responsibly, review generated code, collaborate through GitHub and CI/CD, and work with Snowflake and data lake architecture.

Develops data-driven journalism across breaking news, investigations, explainers, visual features, social posts, video, and newsletters. Responsibilities include sourcing, cleaning, and analyzing datasets; generating story ideas and rigorous insights; simplifying complex information; collaborating with reporters, editors, and visual journalists; and selecting effective formats for communicating findings. The role requires statistical literacy, quantitative research skills, current affairs knowledge, and awareness of AI’s opportunities and limitations.

Design and build a research platform for reproducible scientific analysis, including reprocessing pipelines, evaluation harnesses, cloud compute and data access, engineering standards, CI, testing, and regulatory traceability. Partner with scientists to create usable tooling, improve research-to-software workflows, mentor junior developers, and establish the platform engineering function. The role requires deep Python and experience with reproducible scientific or quantitative workloads.

Provide Level 2 and Level 3 production support for BlackRock Aladdin and related investment management applications. Investigate and resolve issues across portfolio management, order management, trade execution, booking, and post-trade workflows. Perform root cause analysis, coordinate with business and technology teams, develop SQL queries, build Python automation, support releases and change management, and participate in global incident management and service improvement.

Lead quality engineering across multiple squads by defining test strategies, automation architectures, quality gates, and non-functional testing approaches. Lead API, UI, and end-to-end automation, promote observability and security testing, mentor engineers, manage QA workstreams, and advise stakeholders on quality and delivery trade-offs. The role also drives adoption of DevSecOps, service virtualization, synthetic test data, and emerging testing practices within a hybrid consultancy environment.

Lead customer-facing delivery of production-grade data and AI solutions on the Databricks platform. Own architecture and design decisions, implement end-to-end data pipelines, applications, and ML integrations, and guide customers through adoption. Collaborate with engineering, product, support, project managers, and executives; manage technical scope and outcomes; resolve implementation challenges; and create reusable frameworks and best practices. The role requires enterprise client engagement, technical leadership, cloud expertise, distributed computing knowledge, and approximately 20% customer travel.

Analyze customer behavior, revenue, profitability, costs, and business initiatives across UK Insurance. Build forecasting, predictive, statistical, and impact-measurement models; translate complex data into recommendations for Product leaders; support strategic decisions; provide commercial insight; lead complex analytical projects; and mentor junior analysts.

Build and own backend acquisition technology for iwoca’s German market. Responsibilities include designing Python backend systems, relational databases, data pipelines, REST APIs, HubSpot tooling, third-party integrations, lead-value and attribution systems, and production machine-learning features. The role involves shaping technical strategy, optimizing acquisition funnels, collaborating with marketing, sales, product, and data science teams, and owning projects from discovery through delivery.

Leads Ipsen’s AI Programming capability within Biometry, establishing strategy, standards, governance, and operating models for AI-enabled programming and automation. Manages clinical data scientists, AI programmers, and application developers while delivering ML, LLM, data products, and applications for clinical and R&D use cases. Partners across Biometry, IT, data and analytics teams, and external vendors to ensure validated, secure, scalable, reproducible solutions and drive organizational adoption.

Design, implement, integrate, and maintain cloud security tooling across Bupa’s cloud environments. Own CSPM, CWPP, CIEM, and CNAPP capabilities; integrate security platforms with cloud and enterprise systems; develop infrastructure-as-code controls, automation, and APIs; monitor platform security and availability; ensure regulatory alignment; and provide technical leadership, coaching, and stakeholder collaboration.

Leads financial modelling and analytics engagements for public and private sector clients. Responsibilities include designing, building, reviewing, and improving financial models; developing data automation and dashboards; supporting strategy, proposals, business development, quality management, and risk procedures; managing client relationships; and coaching project teams.