Top Python Jobs in London

As an Associate Business Consultant, support customer engagements through data analysis, insights delivery, and collaboration with senior consultants to create business strategies for Life Sciences.

Conduct research using machine learning techniques to develop investment strategies, leveraging extensive data and computational resources.

The role involves developing machine learning models, optimising system performance, and collaborating with diverse teams on innovative projects.

Design, build and maintain network automation frameworks, infrastructure-as-code, APIs and CI/CD integrations to provision and manage global network infrastructure. Implement observability, partner with Platform/Network/Security teams, contribute to incident response and ensure scalable, production-ready networking automation.

As a Machine Learning Performance Engineer, you'll optimize large-scale workloads across GPU and CPU infrastructure, collaborating with researchers and engineers to improve performance and capabilities of research workloads.

As a Quantitative Developer, you will engineer high-quality software, collaborate with researchers on trading and modeling systems, and optimize performance in financial markets.

Build BI solutions and Looker dashboards for B2B products, analyze content licensing and contributor costs, automate cost reporting, collaborate with Product/Finance/Partnerships, and deliver partner-facing analytics and insights to optimize revenue and margins.

Lead development of private credit investment analytics, standardize data sourcing and governance, produce decision-ready insights, partner with investment teams and vendors, embed analytics into central platforms, and manage a high-performing analytics team.

Client-facing data scientist who leads enterprise deployments of Nory's AI platform: validates models, runs analyses, builds SQL/dbt pipelines, prototypes with Python, drives adoption across multi-site estates, and translates deployment learnings into product and ML improvements to deliver measurable operational and financial outcomes.

Lead adoption of SRE practices firm-wide, implement and maintain observability tooling, automate operations, manage incident response and on-call rotations, provide performance insights and instrumentation, drive reliability standards, and collaborate on postmortems and continuous improvement.

As a Site Reliability Engineer, you'll enhance infrastructure reliability, observability, and efficiency, while focusing on tooling development and coordination across teams.

Lead a team of data scientists to innovate in experimentation and causal inference, enhancing decision-making and product strategies through evidence-based methodologies.

The Analytics Manager at Hometrack leads a team of analysts, delivers insights, and translates client needs into data-driven solutions to drive product success and customer value.

The Senior Treasury Liquidity Specialist will manage liquidity positions, develop risk management frameworks, and enhance liquidity reporting while collaborating across teams.

Design, customize and maintain analytics platforms; manipulate and visualize data; build statistical models and A/B tests; code in SQL and Python; generate insights, dashboards and presentations; collaborate with stakeholders and regional leadership to support campaign measurement and automation.

Own and migrate Payment Lifecycle business logic from dbt/SQL into Flink streaming jobs, operate and monitor pipelines (Datadog), deploy via ArgoCD/Terraform, use Apache Iceberg and Kafka for state/lookups, and ensure robust, low-latency, domain-owned data products.

The Senior Solutions Engineer will work with customers to understand technical needs, collaborate with sales, and manage technical sales progression, including product demonstrations and presentations.

The role involves developing impactful research on digital assets, client engagement through insights, and contributing to product development and market analysis.

As a Senior Full Stack Engineer at OakNorth, you will design and engineer large-scale systems, mentor colleagues, and leverage DevOps practices to deliver innovative financial tools. You will collaborate cross-functionally and utilize Generative AI to enhance productivity.

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

Contract software engineer roles across full-stack, web, AI, data, and DevOps domains. Responsibilities include designing, building, and maintaining scalable features, web experiences, data pipelines, CI/CD and cloud infrastructure, and engineering evaluations for AI systems. Collaborate cross-functionally to deliver reliable, high-performance solutions.

Design and implement AI-powered internal tools for GTM use cases, managing full lifecycle from data modeling to production. Collaborate closely with GTM teams to translate data into actionable insights with a focus on measurable business impact.

As a Senior Web Data Scientist, you'll work with web leads, measure outcomes, implement A/B testing, and mentor junior staff to enhance product strategies and lead volumes.

As a Staff Machine Learning Engineer, you will lead the development of complex ML systems and MLOps pipelines, mentor junior engineers, and ensure scalable and reliable solutions for retail workflows.

The role involves creating predictive alpha signals in futures, applying machine learning techniques, market impact modelling, and optimizing execution. Close collaboration with systematic research teams is also required.