Top Python Jobs in London

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.

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.

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

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.

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

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 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.

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

Lead research on large language model post-training, developing innovative strategies and architectures for conversational AI, and integrating research into production.

The Sales Engineer at Orkes will engage with customers, provide technical solutions, support RFI/RFP processes, and deliver impactful presentations while collaborating with various teams.

Manage a live trading book while utilizing cutting-edge agentic AI solutions. Responsible for risk management, strategy development, and model building within a quantitative trading environment.

Design, build, and optimize data pipelines for analysis and machine learning. Collaborate on data infrastructure, ensure data quality, and support model deployment.

Develop and implement AI features for the construction industry, work with LLMs, and collaborate across teams to enhance product offerings.

Customer Support Engineers assist customers in building digital experiences by providing technical support, troubleshooting, and working with APIs and software issues.

Support and execute red team operations across EMEA: plan and scope penetration tests, develop/red-team tooling, manage findings and remediation, collaborate with Blue Team and vendors, produce technical and executive reports, and assist incident response and continuous security improvements.

The PPC Analyst will manage and optimize PPC/SEM campaigns, implement A/B tests, analyze data for insights, and suggest automation improvements.

As a Staff Application Engineer, you will lead architecture designs, mentor engineers, deliver large-scale applications, and ensure operational excellence across teams.

The Senior Investment Risk Manager provides oversight and assurance for investment risks in public markets, engaging with stakeholders and validating risk models.

The Analytics Consultant will design and implement Customer Risk Assessment models, improve data quality, perform analysis, and collaborate with various teams.