Top Python Jobs in London

As a Machine Learning Engineer, design and implement novel techniques for Imitation Learning, contributing to R&D and optimizing machine learning models.

Join the DSAE team as a Data Scientist to drive customer-centric decisions through data analysis, modeling, and collaboration across departments at PlayStation.

As a Senior Machine Learning Scientist, you will identify ML opportunities, design algorithms, conduct analyses, and collaborate with product teams to build effective ML solutions for customer service enhancement.

As an FPGA Engineer, you will develop RTL HDL in SystemVerilog, create automated test benches, script in Python, and develop software in C/C++. You'll contribute to a low-latency system for financial services and collaborate within a small engineering team, promoting flexibility and proactive problem-solving.

Manage loan trade settlements, ensuring timely and accurate processes across various asset classes while collaborating with multiple teams and handling documentation.

The Pricing Manager oversees home insurance pricing, driving revenue, managing loss ratios, and collaborating with cross-functional teams for sustainable growth.

As a Senior Pricing Actuary, you'll lead pricing transformation discussions with clients, develop pricing models, influence strategy, and drive AI-enabled workflows.

As a Senior Pricing Actuary, you will lead transformation in pricing strategy, partner with stakeholders, and contribute to innovation in actuarial practices, focusing on AI and modern workflows.

As a Machine Learning Engineer, you will develop software solutions using machine learning, collaborate with clients, and deliver impactful projects working within cross-functional teams.

The Data Engineer will work with marketing and sales teams, focusing on data engineering and tooling to drive customer acquisition while ensuring data compliance.

Join iwoca's Offers Team as a Full Stack Engineer focusing on backend and some frontend work, optimizing systems for loan offers.

As a Senior ML Platform/Ops Engineer, you'll build and maintain machine learning pipelines, ensure system observability, and design data flows while collaborating across teams.

As a Senior Software Developer, you'll design and maintain software solutions, lead a team, and ensure high-quality code delivery. You'll collaborate with various teams and integrate data science and machine learning solutions into production code.

As a Sales Engineer, you will provide technical support and insights, lead discussions, and assist in developing effective go-to-market strategies for eCommerce solutions.

As a Junior Equity Quant Researcher, you will assist in managing an equities portfolio, develop new trading signals, and enhance trading infrastructure.

The Commodities Python Engineer will develop trading tools, collaborate on technology solutions, and enhance systems for risk and portfolio management.

As an Anti-Cheat Engineer, you will work on securing games from cheats and exploits, collaborating with teams to implement security measures and tools.

As a Senior Full Stack Engineer, you'll develop scalable software, mentor peers, ensure system reliability, and contribute to team culture.

As a Cheat Software Analyst, you will analyze software vulnerabilities, implement anti-cheat solutions, and collaborate with teams to enhance game security.

Collaborate with trading teams to develop Python-based services, APIs, and cloud-native tools for market analysis and risk management.

The Engineering Manager leads and manages a team overseeing SaaS product development, ensuring quality and timely deliveries while managing project requirements and team communication.

As a Senior Data Analyst, you'll analyze key metrics, develop data strategies, manage projects, and ensure data quality to drive business insights.

Develop customer engagement strategies and coach junior architects while influencing stakeholders in a pre-sales capacity for data analytics solutions.

The Machine Learning Engineer will design and develop search and recommendation systems, manage project priorities, and improve technology processes.

As a Lead Engineer - Data, you will guide technical strategy, mentor a team, and collaborate on scalable data solutions, focusing on engineering practices and cross-functional alignment.