Top Python Jobs in London

The Electronics Design Engineer will design high-voltage battery management electronics, owning full development from concept to deployment, while collaborating with various teams for integration and performance optimization.

The Cheminformatics Engineer will develop AI methods and software solutions to enhance drug design productivity, collaborating across teams and managing the software lifecycle.

The Immunoinformatics Engineer will develop AI methods for drug discovery, collaborate with teams, and manage software lifecycle while staying updated on relevant scientific advancements.

The Senior Solutions Consultant will guide enterprise clients in implementing Coveo's AI-powered search solutions, tailoring technical designs to meet unique business needs and ensuring smooth integrations across various platforms.

As a Machine Learning Engineer, you will design and build LLM-powered systems, optimize ML pipelines, and monitor model performance while collaborating with stakeholders to drive technical initiatives.

Lead technical engagements at a large Oil & Gas customer, developing strategies, coaching teams, and delivering tailored data solutions using Databricks.

The Strategy Analytics Manager will drive promotions, perform financial forecasting, evaluate expansion opportunities, influence stakeholders, and mentor a team to optimize performance and growth.

As a Senior Data Engineer, you will design and maintain scalable data architectures, build data pipelines, optimize SQL performance, and mentor junior engineers while collaborating with data scientists to enhance data workflows.

The Senior AI Software Engineer will build AI integrations, support internal teams with AI tools, and deliver measurable impact through automation and efficiency improvements.

As a Technical Solutions Consultant at Zip, you will integrate and document the Zip platform into customers' IT systems, work closely with clients to meet their requirements, and improve integration processes.

The intern will assist in designing, developing, and supporting data-driven systems while learning about software engineering principles.

As a Senior Machine Learning Scientist, you'll improve customer outcomes through automated decisioning using ML and statistical modeling, focusing on credit risk modeling and collaborating with cross-functional teams.

Develop software for Codex focusing on enterprise solutions, building APIs, integrating with identity systems, and collaborating with teams to ensure quality.

The Lead NoSQL Engineer will manage NoSQL databases, lead a team, support database operations, and oversee infrastructure automation while ensuring optimal performance and mentoring.

Join Depop as a Senior Machine Learning Engineer to design and implement ML pipelines for recommendations, collaborating with teams to enhance product personalization.

Depop seeks a Senior Machine Learning Engineer for the Ranking team to develop and maintain machine learning systems for personalized rankings. Responsibilities include designing training pipelines, collaborating with ML scientists, and optimizing model serving systems.

As a Lead Data Engineer, you will design and develop software for data processing, lead a team, ensure quality, and manage technical proposals.

As an Optimisation Manager, lead strategies in flexibility markets, develop monetisation strategies for customer devices, and collaborate with teams to simplify market participation and enhance energy systems.

Design, test, and deploy advanced hardware designs as an ASIC Engineer, collaborating across teams on FPGA-based and ASIC-based technologies.

The Associate Data Scientist will work on developing and optimizing machine learning models, collaborating with teams to tackle pricing and matching challenges.

The Software Engineer will develop AI-based capabilities, maintain software stacks, mentor others, and tackle engineering challenges across various technical fields.

The role involves managing workstations and servers, installing systems, performing hardware maintenance, and handling operational tasks in trading environments.

Build and manage multiple datasets, create automated ETL pipelines, integrate datasets, and ensure data quality for QRT's research and trading platform.

Responsible for managing the vulnerability management program through discovery, analysis, technical validation, remediation support, and automation in both infrastructure and cloud environments.

You will design and implement low-latency trading systems, optimize system performance, and ensure reliability at scale within the Core Trading Platform team.