You will lead the Risk Modelling pillar, architecting ML systems for financial crime detection using deep learning, GNNs and LLMs. Your team builds the automated model lifecycle—from experimentation to production deployment—operating at 100K requests/minute under 50ms latency. You will recruit and lead a team of Senior ML Systems and Applied ML Engineers.

Work with Go, Rust, Python, Java, or C++ and headless browsers (Chrome DevTools Protocol, Playwright, Puppeteer) to build large-scale web crawlers and data pipelines. The team develops infrastructure for acquiring massive amounts of public web data to train AI models, operating a distributed crawler via a bandwidth-sharing network and processing billions of videos, transcripts, and audio files.

Work with Python, Java, C++, TensorFlow, Keras, PyTorch, and optionally NLP, computer vision, and cloud platforms (AWS, Azure). The role at Demo Co. involves developing and implementing AI models and algorithms, integrating AI solutions into existing systems, and conducting research to enhance AI application performance.

You will design, develop, and productionise optimisation algorithms and decision-support tools using Python, Java, and/or Rust, employing MILP, metaheuristics, stochastic programming, or reinforcement learning. The role involves building cloud-deployed CI/CD, containerised, and orchestrated solutions for transportation, logistics, workforce scheduling, and media planning as part of cross-functional product squads. You will act as a senior technical lead, mentoring peers and driving engineering standards.

PlayStation★3.8 (164)· London

Design, build, and optimize data ingestion, transformation, and enrichment pipelines using SQL, Snowflake, Python, and REST APIs. You will join the Security Data Analytics team at PlayStation, developing data products and pipelines that help Information Security teams understand security posture and risk trends. This is an individual contributor role; no team size is stated.

Sumitomo Group★3.7 (463)· London

Work with SQL Server, Azure, Python, C#/.NET, JavaScript, Alteryx, Microsoft Fabric, PowerBI and DealCloud. Build backend databases, ML models and front‑end tools for the Private Markets team’s European LBO direct lending and private credit vehicles. The Data and Analytics team is adding its third key member to lead data‑platform engineering.

Millennium Management★3.8 (21)· London

Software engineers build and maintain distributed systems for intraday risk, trade, and portfolio management using Python, Java, or Rust and cloud platforms like AWS or GCP.

Lead Java Developer (Contract) role using Java 17+, Spring, Spring Boot, Azure, containerisation, serverless tech, Terraform, and Python. Building enterprise-quality optimisation and ML solutions for field operations. Leading development, API design, and tech decisions.

WPP★3.7 (378)· London

Lead Java Developer role at WPP's Satalia building a new logistics optimization platform using Java 17+, Spring, Spring Boot, Azure, serverless and containerized tech, Terraform, and some Python, with API design and tech selection duties. The team develops optimization and ML-based enterprise solutions, and the role leads a development team.

Build trading systems, market data infrastructure, and quantitative research platforms using C++, Python, and Java. The role is with a network of 40+ top trading firms, focusing on trading platforms, risk systems, and data infrastructure for high-frequency trading.

Senior engineers at Great Yellow design and own data pipelines (ETL, dbt, SQL) and write production code in a Cloudflare-native TypeScript/React monorepo. The team builds the data and software platform that powers a system for making regenerative land-use investable and scalable.

You'll work with Python, SQL, Linux, Docker, and legacy systems, plus desirable tools like dbt, Snowflake, Kafka, AWS, and Java. You'll develop ELT pipelines, build a streaming platform for tick data, and consolidate legacy systems for Aspect Capital, a London-based systematic hedge fund. This is a lean team owning end-to-end delivery of data ingestion and transformation.

Work with Python, Java, or C++, and AI frameworks like TensorFlow, Keras, or PyTorch to develop and implement AI models and algorithms. You will solve real-world problems, integrate AI into existing systems, and research performance enhancements for cutting-edge AI applications at Demo Co.

You will lead a team of Senior ML Systems and Applied ML Engineers, building the automated model lifecycle platform for financial crime detection using deep learning, ML systems, and production infrastructure. Your team owns the end-to-end engineering of models that operate at 100K requests/minute under sub-50ms latency.

This role involves building data pipelines, Snowflake data models, and automation using SQL, Python, Java, or R, with practices like version control and CI. The engineer joins Sony Interactive Entertainment's Security Data Analytics team, supporting Information Security with analytics-ready data and AI-enabled workflows.

You will work with Python, FastAPI/Django, React, and AI tools like Claude Code, Enterprise Claude, Gemini, or Copilot. As a senior technical leader on the Real Assets and Real Estate technology team, you will build platforms supporting the end-to-end asset lifecycle for Macquarie Asset Management’s private markets business.

Work with Python, JavaScript, SQL, Kafka, AWS/Azure, PostgreSQL, SQL Server, ClickHouse, MongoDB, and optionally Kubernetes to architect real-time, high-performance trading systems for energy and commodities markets, integrating market data, risk, and back-office platforms.

Java and Python developer with 4+ years experience building and maintaining data infrastructure and reporting tools for PIMCO's middle office transformation. Work involves cloud-ready distributed systems, SQL/NoSQL databases, RESTful APIs, Kafka, and caching technologies.

You’ll use Python, Java, or Scala with AWS, Kubernetes, Terraform, CloudFormation, Airflow, Dask, JupyterHub, Bazel, and CI/CD to design, build, and run the distributed-compute and data-science platform powering Macquarie’s Commodities and Global Markets trading and analytics workflows.

Senior Software Engineer role on the Risk Services team within Global Markets. You will build scalable distributed systems using Java (Spring/Spring Boot) and Python, working with messaging frameworks (Kafka, MQ) and CI/CD pipelines to support risk data processing, analytics and reporting workflows.

You will work with Python, SQL, Pandas, NumPy, Flask/FastAPI/Django, Unix/Linux, shell scripting, CI/CD, and REST APIs. The role develops and enhances backend applications and data processing pipelines supporting risk calculations, trade workflows, and reporting for an investment banking trading and risk platform.

You will build distributed backend services with Java (Spring/Spring Boot), Python, Kafka/MQ, XML, and CI/CD pipelines on Unix/Linux. The team develops risk data processing, analytics, and reporting platforms for global markets products such as Rates, Credit, Equities, and Derivatives.

You will work with Snowflake, SQL, Python/Java/R, REST APIs, JSON/XML, and dbt. The Security Data Analytics team builds data pipelines, models, and automation to turn security signals into analytics-ready data for Information Security teams. This is an individual-contributor backend data engineering role.

Wells Fargo★3.6 (48k)· London

Principal Engineer working with Java, Python, C++, FIX protocol, and low-latency systems within Wells Fargo Securities’ Electronic Trading Technology. The role builds cross-asset electronic trading platforms for Rates, including pricing, market making, and order routing, and defines AI-assisted engineering practices using LLMs and Model Context Protocol (MCP).

Work with Python, Java, or Rust to build microservices and distributed systems on AWS or GCP. You will design and deliver intraday risk, trade, and portfolio management solutions for Millennium's Fixed Income Technology platform.