Top Python Jobs in London

You will lead the development of internal applications for material discovery, ensuring they are high-quality products through collaboration and iterative design.

As a Full-Stack Engineer, you will enhance the consumer portal experience by developing a high-performance website using various technologies, focusing on React and TypeScript while collaborating across teams.

Build and maintain backend-first full-stack systems powering scheduling, forecasting and embedded analytics. Ship production APIs, data pipelines and customer-facing features, collaborate with data scientists, engage customers, and iterate on ML-driven forecasting and insights.

Develop pricing models using SQL and Python, analyze claims, communicate insights, and collaborate with engineering on pricing strategies. Opportunity to manage a small team.

The Motor Pricing Actuary will lead the pricing for motor insurance at Marshmallow, develop pricing models, and ensure regulatory compliance while maintaining actuarial governance. Responsibilities include claims analysis, collaborating with external actuaries, and capital modelling to support business outcomes.

The Software Developer will enhance liquidity access, develop data feeds, and ensure software stability while collaborating across teams. Responsibilities include coding, testing, and production support.

As a Machine Learning Engineer, you will develop ML models, optimize solutions, automate workflows, and design ML architecture while ensuring high-quality production software delivery.

Operate and support EG's systems infrastructure: day-to-day Linux server administration, end-user systems support, scripting/automation, and public cloud (AWS) management. Contribute to design, implementation, and projects using configuration management, infrastructure-as-code, and containerized workloads, with opportunities to lead larger infrastructure projects over time.

The Engineering Manager will lead and develop engineering teams, ensuring quality delivery and technical execution while collaborating closely with various teams and managing people effectively.

The Solution Architect will design scalable and secure solutions, manage stakeholders, and lead technical teams while ensuring alignment with client needs and governance standards.

The Applied AI Engineer will develop AI features for consumers, optimize AI tools, and enhance workflows in the energy sector.

Own reliability, performance, and scalability of Postgres and ClickHouse databases. Build scalable data pipelines, design analytical schemas and DBT models, migrate data to ClickHouse, implement data quality checks, eliminate duplicates, and manage database infrastructure via IaC.

The Financial Controller will manage financial reporting, accounting operations, and audits across multiple entities, ensure adherence to IFRS and US GAAP, and lead continuous improvement initiatives.

Collaborate with game teams to enable data-driven decisions by analysing user behaviour (churn, conversion, LTV), estimating feature impact, running A/B tests and CRM/retargeting analyses. Build statistical models to predict user activity and automate analyses, work with marketing to optimise campaigns, and consult with other analysts to identify cross-game analytical opportunities.

As a software engineer in generative AI, you will design and develop secure applications, optimize APIs, and collaborate with cross-functional teams to enhance AI solutions.

Build and ship backend-leaning fullstack features (APIs, services, integrations, React frontend). Scope solutions, implement, and own features end-to-end. Collaborate with product and design, contribute to architecture and technical discovery, ensure scalability, reliability, and security best practices, and improve developer experience and tooling.

The Senior Data Scientist will build predictive models, optimize pricing strategies, engage with stakeholders, and drive innovation in data analytics at Hastings Direct.

Build and operate production agentic AI systems and LLM-powered features. Implement RAG pipelines, extend shared AI infrastructure, monitor and debug production models, and collaborate with product and design to deliver secure, reliable AI capabilities in a regulated financial environment.

The Pricing Manager will oversee a team of analysts to drive value through data insights in multi-product households, collaborating across departments to implement strategies that benefit customers.

Design, build, and operate production-grade agentic AI and LLM-powered features and RAG pipelines over sensitive financial data. Collaborate with product and design, contribute shared AI infrastructure (LLM services, orchestration, evaluation), and own reliability, security, auditability, and compliance in production.

Build and ship production-grade agentic AI systems and LLM-powered features. Architect RAG pipelines over sensitive financial data, contribute shared AI infrastructure, own production reliability and safety, and collaborate with product and design to deliver customer-focused outcomes in a regulated environment.

Own first-line governance for UK credit risk processes and controls, ensuring regulatory compliance (FCA CONC, Consumer Duty). Strengthen monitoring, manage operational risk events and remediation, update policies, prepare audit/regulatory documentation, and collaborate with Compliance, Legal, Data Governance and product teams to embed robust controls and drive good customer outcomes.

Quantitative Researchers at Aquatic create and improve trading models using data and statistical methods, collaborating with engineers and leaders.

The Principal Analyst oversees data extraction, analysis, and model development for client projects while leading team development and client interactions.

Own technical strategy for large enterprise accounts, drive multi-product adoption and complex sales cycles, architect cloud-to-serverless migrations, design POCs, navigate security/compliance and procurement, mentor peers, and influence product roadmap.