Hudson River Trading★4.5 (2)· London

You will use Python, C++, Pandas, NumPy, R, or MATLAB to build and maintain predictive trading models. As an algorithm developer, you research and test novel order execution and model training methods, applying

Hudson River Trading★4.5 (2)· London

You will work with Python, Pandas, NumPy, R, and MATLAB to apply statistical analysis and machine learning to vast quantities of market data. The team builds and maintains predictive trading models for the company's high-performance trading infrastructure. You will research, develop, and test order execution methods to increase trading efficiency.

You'll work with frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), databases (SQL, NoSQL, vector databases), LLM frameworks, and cloud platforms (Azure, AWS, GCP) including Docker and CI/CD. QuantumBlack, an AI division of McKinsey, builds industry-shaping products and tools across diverse industries by pairing software engineers, AI engineers, and data scientists with client leadership. As a Senior Software Engineer, you'll lead architecture design, mentor teams in engineering excellence and Agile practices, and drive technology decisions on scalable solutions.

DeepL★3.8 (4)· London

Work with React, TypeScript, Node.js, WebRTC, WebSockets, and streaming architectures. You will join DeepL Voice, building real-time interpretation features for fluid conversations and audio streams. This is a 0-to-1 engineering environment in a cross-functional squad.

Linux Recruit★3.0 (1)· London

Work with PyTorch, distributed training libraries, Slurm, Kubernetes, and AWS multi-node GPU clusters to architect and optimize large-scale model training pipelines. You will join a stealth AI startup at the intersection of robotics and embodied AI, building the infrastructure that powers next-generation AI breakthroughs.

Echobox★4.0 (1)· London

You will work with Python, Java, or Node.js, back-end frameworks, SQL/NoSQL databases, RESTful APIs, microservices, Git, and AWS/GCP/Azure. You will build and maintain back-end services and systems supporting AI-powered products that help online publishers.

Echobox★4.0 (1)· London

You will work with Python, Java, or Node.js, SQL and NoSQL databases, RESTful APIs, microservices, Git, and cloud platforms (AWS, GCP, Azure) to build and maintain back-end services. The company develops AI that helps online publishers like The Times and Le Monde overcome daily challenges, and you will collaborate with data scientists and product teams to support these AI-powered products.

Prima★3.6 (45)· London

You'll work with Kafka, Flink, Spark, Databricks, Python, AWS, Redshift, PostgreSQL, and DevOps/CI-CD tools to build data products and pipelines for Prima's pricing and underwriting domain. The role bridges machine learning and engineering, focusing on data architecture, transformation, governance, and enabling teams to ingest, store, and serve data products. You'll join over 350 engineers across Prima, an online motor insurance provider trusted by 5 million drivers expanding in the UK and Spain.

Design, build, and deploy quantitative models using Python, R, and libraries (numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot) plus NLP tools, SQL, AWS, Sagemaker, DataBricks, Snowflake, MLFlow, and Weights & Biases. The team creates systematic country risk analytics and ML/NLP pipelines for BMI’s market insights, supporting clients in risk assessment.

Work with Python, Pandas, NumPy, Scikit-learn, SQL, LLMs, RAG, and MLOps to design, build, and deploy enterprise-scale AI/ML solutions improving operational efficiency, service resilience, and customer outcomes at LSEG, a global financial markets infrastructure and data business.

Work with Python (pandas, NumPy) and tree-based machine learning to analyze high-frequency limit orderbook data and build predictive signals for proprietary trading. DV Trading provides liquidity to worldwide markets and hedging opportunities. You’ll collaborate with senior researchers and traders to refine production-ready models.

LSEG★3.7 (402)· London

You will use Python (Pandas, NumPy, Scikit-learn), SQL, cloud-based MLOps platforms, and Generative AI/LLM/RAG tools to build predictive models and AI solutions that improve operational efficiency, service resilience, and customer outcomes for LSEG's financial markets infrastructure.

Build full-stack features with Node.js, React, and TypeScript, and design AI-powered capabilities using LLMs and workflow orchestration, utilizing AI coding tools like Claude Code. The company is an early-stage startup using AI to help organizations modernize supporter engagement, operational workflows, and data usage.

You will work with C++ (including memory management) and Python (Pandas, NumPy) to build high-performance infrastructure, data pipelines, and quantitative trading systems. The team develops and optimizes simulation and backtesting tools and handles high-volume market data feeds.

Corpay★3.0 (944)· London

You will work with Python, pandas, NumPy, scikit-learn, SQL, LLM/agentic AI/RAG systems, and cloud platforms (AWS, GCP, Azure). You will support the Data Science team in developing predictive models, machine learning workflows, and agentic LLM-based tools for Corpay’s commercial payments business.

Fitch Solutions★3.0 (2)· London

As a Data Scientist at BMI (a Fitch Solutions business), you will design, build, and deploy quantitative models using Python and R (e.g., numpy, pandas, scikit, pytorch) to power advanced analytics. You will develop and maintain ML/NLP and data pipelines, working with Economists and Analysts to build risk models and generate insights from structured and unstructured data.

Zendesk★3.8 (81)· London

Senior Sales Engineers at Zendesk configure Agentic AI workflows using prompt engineering, Zendesk’s AI features, JavaScript, Python, Node.js, HTML/CSS, REST APIs, and webhooks. They lead technical deal cycles, execute technical discovery and POCs, and deploy reusable tools for enterprise and commercial accounts to prove the value of Zendesk’s CX/ES platform and autonomous agents. No team size is stated.

You will work with Python (NumPy, SciPy), C++, large datasets, distributed systems, and high-performance computing concepts. The team builds high-performance trading and analytics platforms for a HFT leader that transforms sports data into competitive insight, and you will convert prototype models into production systems and optimize for low latency and scalability.

You'll work with PyTorch, distributed training, Docker/K8s/IaC, and Python backend. The company builds foundation models for extreme physics to accelerate progress in semiconductors, aerospace, defence, and fusion. Joining a small, research-heavy team, you'll be the first dedicated engineering owner for the ML stack.

Build high-performance trading and analytics platforms using Python (NumPy, SciPy) and optionally C++, with large datasets, numerical computing, distributed systems, and high-performance computing. The team turns complex sports data into actionable insight for a HFT leader.

Build and launch AI-powered products using TypeScript, React, Node.js, Rust, Azure, Docker, and LLM APIs (OpenAI, Anthropic). As the founding product engineer, you’ll own the full stack—from frontend and backend to AI workflows—and work directly with founders to shape product direction from 0 to 1.

Work with Python, Pandas, NumPy, REST APIs, GCP, and MLOps tools on agentic AI, deep learning, NLP, or computer vision projects for Insight International (UK) Ltd.

This Data Scientist role uses Python, SQL, Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn, Power BI, and Tableau for data analysis and machine learning. The position is at Information Tech Consultants, an IT management and consulting firm specializing in data science and IT solutions for UK and international clients.

Work with Python, PyTorch, scipy, scikit-learn, numpy, pandas, MLflow, Docker, Kubernetes, Ray, and GCP to build and scale distributed compute for research workloads. Phaidra creates AI-powered control systems for the industrial sector using reinforcement learning to enable facilities to learn and improve automatically.

Build scalable backend services, APIs, and cloud-native systems on AWS running Kubernetes, using TypeScript, Node.js, Docker, and React. You will work directly alongside AI Engineers to build the production platform behind their next-generation AI authentication product.