Top Python Jobs in London

Partner with investment teams to identify high-value AI use cases, design lightweight proofs-of-concept, enable users through training and best practices, provide light technical support, and track adoption and impact of AI solutions across EMEA research teams.

Build and operate demo environments, datasets, scripts, and self-service tooling for pre-sales. Automate demo asset generation and validation with LLMs and Playwright, design agentic workflows, and align demos with product releases while enabling SEs to run consistent, reproducible demos.

Lead design and build of a greenfield, ultra-low-latency C++ trading platform covering execution, market data, order and risk management. Implement direct exchange connectivity, optimize microsecond/nanosecond performance, collaborate with traders and quants, own systems end-to-end from design through production support for live trading.

Senior hands-on platform engineer responsible for designing, building and operating a secure, resilient Azure infrastructure and associated CI/CD, IaC, container and observability tooling. Lead platform standards, reusable services and automation using GitLab, Kubernetes, Helm, Terraform and scripting. Partner with architects and development teams to enable cloud adoption, migration, operational readiness, security and ongoing service management.

The Senior Software Engineer will architect and build backend systems, own clinical system integrations, improve performance, and shape engineering culture.

Work as a Full Stack Developer building web and mobile applications for clients. Collaborate with small agile teams, engage directly with stakeholders, deliver bespoke solutions, and grow into mentoring and technical advisor responsibilities while expanding technical skills.

Lead design and delivery of cloud-based data engineering, analytics and AI solutions. Advise clients, capture requirements, create solution architectures, build data platforms and ETL/ELT pipelines, develop Power BI dashboards, integrate ML/Generative AI, and lead/mentor project teams to deliver scalable, secure data products.

Design and build a greenfield marketing data foundation: tracking/tagging, identity strategy, data pipelines, integrations (GA4, Salesforce, Databricks, COGNOS), data modeling and QA, dashboards, attribution/MMM, governance and compliance. Serve as primary contact for marketing data issues, enforce standards, prioritize analytics backlog, and enable stakeholders.

Maintain and upgrade engineering environments and infrastructure, automate CI pipelines, deploy and test infrastructure, build monitoring solutions, secure and scale API-driven platforms, and support reactive architecture.

Maintain and upgrade engineering environments and infrastructure. Implement and automate CI pipelines, automate testing and deployment, build monitoring solutions, support containerized applications and API-driven platforms, and help secure and scale reactive architectures.

Consult on life sciences strategy, market access, and evidence generation for pharma, biotech, devices and diagnostics. Own workstreams, perform research and analysis, produce client-ready outputs, engage senior stakeholders across global/EUCan markets, support proposals, and mentor analysts.

Analyze market risks through VaR and stress testing, enhancing risk reporting, and collaborating with trading and risk teams.

Design and execute carrier-scale validation campaigns for Telco and MSSP reference architectures (CGNAT, SecGW, SD-WAN, uniSASE, large-scale firewalling). Build and automate performance and scalability tests (using Spirent/Ixia/FortiTester), integrate tests into CI pipelines, produce docs, demos and customer reports, and feed findings to Product and Engineering. Work directly with field SEs to turn customer requests into reusable evidence.

Deliver cloud security consulting, design multi/hybrid-cloud security blueprints, implement Fortinet-based cloud solutions, produce automation/architecture code and POCs, publish reference architectures and technical content, run demos/webinars, and advise customers on secure cloud deployments.

Provide pre-sales public cloud and application security expertise to sales and partners across EMEA: lead technical discussions, demos/POVs, respond to RFPs, build sales technical materials, consolidate customer feedback for Product Management, and support commercial strategy and seminars.

Senior technical role supporting Exposure Management with focus on non-traditional reinsurance (ILS). Responsibilities include technical review and design of ILS treaties, stakeholder engagement, catastrophe model validation support, portfolio optimisation using statistical methods, automation and process improvements, and integration of pricing/aggregation systems with modelling tools.

Lead and execute laboratory, phantom, benchtop, and in-vivo experiments for non-invasive optical neuromonitoring. Own experimental workstreams from protocol design to analysis and reporting, develop and validate tissue-mimicking phantoms, acquire physiological optical data, troubleshoot systems, generate datasets to support product development and ML, and communicate findings to cross-functional teams while mentoring junior staff.

Design, build, automate and operate a hybrid production platform across AWS and on-premises. Own and evolve HashiCorp stack (Nomad, Consul, Vault), implement IaC with Terraform, use Ansible for deployments, build automation and self-service tooling, support CI/CD, and improve platform reliability, security and observability while partnering with engineering, research and security teams.

Design, build, automate and operate a hybrid production platform (AWS and on‑prem), maintain HashiCorp stack (Nomad, Consul, Vault), implement IaC with Terraform and Ansible, develop automation/tooling (Python/Go/Bash), support CI/CD, and improve platform reliability, security and observability while partnering with engineering, research and security teams.

Join Veeva's Business Consultant Development Program as a recent graduate to support life sciences analytics engagements. Assist on customer communications, workshops, stakeholder interviews, data analysis using Veeva's Data Cloud, and collaborate on deliverables to optimize operating models. Expect structured training, customer-facing work, and up to 20% travel.

Provide first- and second-level on-site and remote desktop support for ~2,000 global users in a Windows/virtual desktop environment. Manage incidents and service requests within SLAs, maintain runbooks and KB articles, handle hardware/inventory and procurement, collaborate with L2/L3 teams and vendors, participate in rotational on-call coverage, and support projects as assigned.

Lead DevSecOps engineer embedding automated security controls into CI/CD pipelines, building internal DevSecOps tooling, driving cloud-native and container security (AWS/Azure), enabling continuous compliance, leading vulnerability management, and providing technical mentorship to raise security maturity across engineering teams.

Design, build, test and deploy machine learning and generative AI models for production; prepare and refine datasets; integrate AI services with applications and cloud; document models, pipelines and APIs; monitor, evaluate and improve model performance; collaborate with engineers, data specialists and business teams.

Lead end-to-end backend projects for the Customer Operations Platform: design, build, and operate distributed services, integrate AI/ML to automate workflows, collaborate with operations stakeholders, mentor junior engineers, and migrate monolithic Django systems into smaller services to improve reliability and developer experience.

Build, maintain, and scale a multi-venue collateral management platform and related reference data and accounting systems. Design resilient, real-time event-driven distributed systems, integrate trading venue data, contribute to architecture, and own production delivery and support.