Top Python Jobs in London

As a Senior Java Developer, you'll architect a multi-petabyte scale estate and tackle complex distributed systems processing billions of datapoints daily.

The Cloud Engineer will design and implement IT infrastructure solutions, automate processes, support Helpdesk, and manage cloud services.

As a Lead AI Engineer, you'll bridge data science and software engineering, focusing on productionizing AI solutions, optimizing performance, and ensuring the reliability of AI features within Workday products.

As a Senior Pricing Actuary, evaluate MGA opportunities for profitability, provide actuarial support, and collaborate with various teams to enhance services.

As a Senior Data Engineer, you will build and optimize data pipelines, enhance AWS infrastructure, and ensure data quality for business insights.

As Analytics Engineering Manager, you'll lead analytics infrastructure, manage data modeling, and drive self-service analytics adoption while ensuring data quality and governance methods are in place.

As a Senior Product Data Scientist at MoonPay, you will analyze data to influence product strategy and optimize the customer onboarding journey, working with cross-functional teams to drive business impact.

Lead complex incident investigations and forensic engagements, analyze data across systems, and translate technical findings into business insights while mentoring junior analysts.

This role involves leading vulnerability management programs, optimizing security processes, advising clients on risk mitigation, and reporting on security metrics while collaborating with technical teams.

As a Senior Programmer III, you will lead clinical programming efforts, support junior programmers, develop datasets using SAS, and ensure compliance with CDISC standards.

Develop interactive user interfaces and internal tools using Django and JavaScript, focusing on web applications and geographic data management.

Assist in optimizing financial workflows, develop scripts for automation, support data pipelines, and document processes. Collaborate across teams to improve operations.

Assist the DeFi team in researching on-chain protocols and running data-driven experiments to enhance understanding of decentralized finance.

As a Senior Software Engineer at FactSet, you'll lead the design and operation of developer platforms, write backend services, and manage infrastructure, all while collaborating with teams globally to improve financial data solutions.

Seeking a Staff Systems Engineer with expertise in VMware, Linux, automation frameworks, and enterprise datacenter operations to optimize private cloud environments for SaaS products.

The Software Engineer will manage and deploy AWS infrastructure, develop ML and NLP solutions, and collaborate on AI projects supporting financial data analytics.

The role involves overseeing TMT data integration, enhancing datasets, onboarding new data sources, and interpreting client needs into product requirements while collaborating with cross-functional teams.

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

Design and maintain scalable data pipelines, migrate data from Postgres to Clickhouse, and develop DBT models for reliable decision-making.

The quantitative researcher develops and implements models for the energy supply business, conducts data analysis, and collaborates with the engineering team on risk management decisions.

The Senior Software Engineer will lead projects, improve code architecture, ensure operational readiness, and collaborate with teams while contributing to technical execution and mentorship.

The Data Engineer will manage pipelines, integrate bioinformatics data, develop ETL workflows, enhance data governance, and promote data usability for non-technical users.

As Senior Credit Risk Manager, you will oversee enhanced underwriting processes, monitor portfolios, lead a junior analyst, and improve credit strategies for SMEs.

As a Data Analytics Engineer, you will build and maintain data models, ensure data quality, and generate insights across departments.

The Director of Sales will develop client relationships, manage the sales cycle, support client needs, and create market insights while handling institutional clientele in algorithmic trading.