Top Python Jobs in London

The Forward Deployed Reliability Engineer ensures the stability of workflows using Palantir software, troubleshoots issues, collaborates with teams, and implements process improvements.

The role involves maintaining and optimizing Palantir software systems, developing automated workflows, and collaborating on infrastructure challenges for government solutions.

Forward Deployed AI Engineers develop Gen AI solutions by building workflows, implementing strategies, and solving real-world problems at scale with clients.

Forward Deployed Software Engineers design solutions for customer challenges, involving architecture discussions, coding, and project execution, while ensuring user impacts are considered.

Design, build, test, and deploy scalable AI services integrated with operational systems. Develop Python services, REST APIs, ETL/data pipelines, IaC, and monitoring; collaborate with AI specialists and operations stakeholders to improve workflows, controls, and production readiness in Markets Operations.

Design and develop software solutions, analyze complex problems, and provide support for trading activities in a dynamic environment.

Design, develop, and deploy software solutions for automated trading systems while collaborating with researchers on technology priorities.

Design and optimize electronic trading platforms, develop pricing and risk-management libraries, and collaborate with research teams on software solutions.

Build and launch scalable backend features and services for restaurant partners. Own projects end to end, collaborate with product and engineering teams, identify high-impact technical opportunities, and maintain reliable production systems through testing, monitoring, logging, and DevOps practices. The role uses Python and Flask primarily, with flexibility to work in Go, Ruby, and other technologies on a distributed remote team.

Build, operate, and improve secure, scalable AWS infrastructure for ELN platform services. Responsibilities include infrastructure-as-code, automation, observability, incident response, cloud security, reliability improvements, troubleshooting, peer code reviews, and collaboration with engineering, security, and DevOps teams.

Provide technical consulting across the application lifecycle for MongoDB customers: assessments, architecture, deployment, migrations, optimization, operations, and training. Work with delivery teams, present to clients, influence product roadmap, and maintain billable utilization.

Lead end-to-end delivery of AI Agents on the Moveworks ServiceNow platform: design, build, integrate, tune, and launch custom LLM-based automation solutions while partnering with customers, product, and engineering to drive adoption and product feedback.

Senior FP&A Analyst responsible for forecasting, planning, management reporting, variance analysis, commercial insight, and finance business partnering across the UK and Europe. The role builds financial models, dashboards, and automated reporting using Microsoft Power Platform, queries source data, embeds AI and agentic workflows, and supports strategic decisions. It also requires mentoring junior analysts, influencing senior stakeholders, and driving continuous improvement in a distributed SaaS finance team.

As a Machine Learning Engineer, you will deploy AI/ML systems, translate client needs into solutions, and engage with users to provide support and improvements.

Develop and maintain scalable web applications and AI/ML-enabled software for defence and national security customers. Responsibilities include technical ownership from design through deployment, distributed-system architecture, CI/CD and software quality, Agile collaboration, client engagement, mentoring, and deployment in cloud, on-premise, and field environments.

Lead end-to-end incident response for high-severity security events across cloud environments, perform DFIR investigations, build detection and automation (including AI-assisted) workflows, partner cross-functionally, produce executive communications and RCAs, maintain runbooks/playbooks, and mentor other engineers within a 24/7 global on-call model.

Own the full lifecycle of machine learning features, including research, experimentation, training, deployment, monitoring, and production infrastructure. Build smart payment-routing models and MLOps practices, partner with product, data, engineering, and customers, evaluate outcomes statistically, mentor engineers, and help define ML technical direction and reliable development processes.

Own the full lifecycle of machine learning features, including research, experimentation, training, deployment, monitoring, and production optimization. Build ML infrastructure for payment routing, establish reliable MLOps practices, partner with product, data, engineering, and customers, mentor engineers, and guide technical priorities. Apply statistical thinking, A/B testing, pragmatic model evaluation, and reinforcement learning concepts in a remote-first environment.

Architects and operates highly available Linux infrastructure and core IT services across on-premises and cloud environments. Develops infrastructure-as-code and automation with Terraform, Ansible, Git, Python, and shell scripting; implements secure configuration, patching, and deployment pipelines; administers enterprise storage arrays; and supports networking, virtualization, Kubernetes, compliance, and on-call operations. Acts as a technical subject matter expert, maintains documentation and runbooks, and mentors junior engineers.

Design, implement and extend high-performance C++ functionality for pan-European equities trading systems. Own features end-to-end, ensure quality and production readiness, diagnose and resolve production issues, mentor engineers, interview candidates, and provide out-of-hours support as needed.

Deliver hands-on GenAI implementations for international government customers, from identifying mission needs through architecture, prototyping, evaluation, production readiness, adoption, and handoff. Partner with agencies, technical teams, systems integrators, cloud providers, and senior stakeholders while addressing privacy, data residency, security, identity, procurement, and regulated-environment requirements. Build applications with OpenAI technologies, contribute developer resources, share best practices, provide product feedback, and manage multiple concurrent customer engagements.

Designs and builds end-to-end automation solutions for Lilly’s global Finance organization. Responsibilities include solution design, programming, architecture documentation, testing, UAT support, validation, defect resolution, risk communication, QA, audits, and platform migrations. The role uses Python, PySpark, TypeScript, PostgreSQL, AWS, Microsoft Fabric, SAP, APIs, and emerging AI technologies while partnering with analysts, business teams, and technology stakeholders.

Senior Consultant serving as a business-facing reinsurance data analyst in a consulting environment. The role analyzes reinsurance data structures, definitions, and flows; translates business needs into data requirements; validates data using SQL and Python; and supports data products, analytical datasets, and transformation initiatives. It requires strong reinsurance knowledge, stakeholder management, consulting skills, and collaboration with engineering and architecture teams.

Lead end-to-end technical strategy for customer accounts, design scalable data, AI, streaming, and analytics architectures, and guide production deployments. Serve as a trusted advisor to senior technical stakeholders, drive Databricks adoption and consumption, lead competitive technical wins, coordinate cross-functional resources, and provide product feedback. The role requires strong Python and SQL coding, cloud expertise, distributed data systems knowledge, and excellent communication skills.

Software engineering interns join collaborative teams to build, test, document, and ship user-facing features, developer tools, infrastructure, or security systems. Interns work with mentors, engineers, product managers, designers, and QA; participate in planning and code reviews; and contribute to projects such as collaboration tools, distributed systems, performance improvements, or security tooling.