You will work with C++, Python, Linux, machine learning/statistical libraries, Google Cloud, Airflow, InfluxDB, and Grafana. The role builds data pipelines, prediction tools, and infrastructure for systematic equities trading, supporting quantitative research and large-scale computation.

This role supports eTrading platforms using Windows/Linux, Bash, PowerShell, Python,

Quantitative researcher role using Python or C++ to develop signals, models, and trading strategies for global financial markets, plus research tools and data pipelines evaluated with advanced statistical techniques. Works with a small team of researchers and engineers on systematic trading research infrastructure. Candidates need a PhD or postdoc in a quantitative field.

Work with Python, PyTorch, TensorFlow, Scikit-learn, XGBoost, AWS (SageMaker, Lambda, S3), MLflow, LangChain and other MLOps/LLMOps frameworks to build and deploy ML and generative AI solutions. You will design production-ready models for forecasting, classification, and anomaly detection, as well as LLM-powered applications, supporting defence, government, and national security clients as part of a technology consultancy.

This Full Stack Engineering Lead role at Citi’s Finance Technology team involves hands-on development with Java, Spring Boot, Spring Cloud, React, TypeScript, Node.js, and microservices. The team is re-platforming applications to support the Finance business, focusing on building scalable solutions for regulatory and operational needs. Testing practices use Jest, Cypress, JUnit, and Mockito, with AWS or GCP experience as a plus.

React Native developer will work with JavaScript/TypeScript, APIs, and CI/CD to build and optimise mobile apps for iOS and Android. The role is with a FinTech undergoing a digital transformation programme, modernising core mobile products and improving user journeys.

Senior Software Engineer for pricing and availability systems on a global travel and e-commerce platform, using TypeScript, Node.js, C#/.NET or Python, and SQL. Work involves building pricing, quote-caching and availability services, resilient APIs, and improving performance and observability with tools like Datadog and Terraform.

Senior Kotlin backend role with full-stack exposure to Angular/React, Spring AI, reactive streams, and event-driven tools like Kafka or RabbitMQ. You'll build a data integration platform for banks, an open-source schema language, and a greenfield AI agent for autonomous orchestration.

Work with AI/ML systems, prompt engineering, multimodal models, retrieval systems, agent systems, computer vision, and backend services using Go, Python, or C. You will join a small R&D team building a cloud platform that transforms audio and video data into actionable intelligence for commercial clients.

Machine Learning Research Scientist role at a well-funded AI materials discovery startup in London. You will develop novel ML architectures, including GNNs and foundation models, using PyTorch or JAX, plus active learning and Bayesian optimization. Work bridges simulation and real-world physical experiments to accelerate materials discovery for EVs, robotics, and clean energy.

You will own a systematic marketing engine, using advanced mathematics, frontier AI, generative AI, and autonomous agents to optimize paid spend across TikTok, Meta, and Snap. You will design measurement frameworks for incrementality, attribution, and causal inference to drive growth for a London-based music social network with 1 million monthly active users.

Work with Llama, Mistral, quantization techniques like GGUF and AWQ, inference engines like vLLM or TensorRT-LLM, and frameworks like Apple MLX or llama.cpp. As Founding AI Engineer, you own the model layer—fine-tuning, distilling, and deploying small language models (SLMs) for pseudonymisation and text transformation at a pre-seed startup building the privacy layer for enterprise AI used by tier-1 banks.

Work with React, TypeScript, and REST API integration to build analyst-facing interfaces on a next-generation Defence Intelligence platform. The role supports a major AI-enabled Defence programme, improving operational decision-making for mission-critical users.

You'll work with TypeScript, Node.js, Go, AWS, PostgreSQL, and event-driven architecture, building AI infrastructure including vector stores and LLM orchestration. Fanvue is a Series A AI-powered creator platform connecting millions of fans with creators. This role leads the platform's monolith-to-services decomposition and AI infrastructure evolution.

Build features across a Svelte/TypeScript front end and Python back end using FastAPI, Django, PostgreSQL, and AWS. Tab is a YC-backed London travel fintech processing thousands of real-time payments per hour for over 100,000 global tourism businesses in 100+ currencies.

You will work with Python, post-training language models (RL, distillation), and build data pipelines and inference infrastructure. The company is building a Societal World Model to simulate human opinion and influence, enabling Fortune 500 organizations to test strategies against simulated populations.

Use Python (FastAPI/Django) and Svelte with TypeScript to build and scale a payments platform processing 100 currencies and a discovery engine listing 100,000+ tourism businesses. Work on AWS cloud infrastructure and real-time transaction processing as part of a profitable, lean team of nine.

Build a comprehensive platform for 1,500+ charities using TypeScript, React, and Node.js. You will architect features like grant management, AI impact reporting, and safeguarding tools, and build migration tools for charities. Work in a high-autonomy team of 15.

You will work with data preprocessing techniques, data pipelines, and cloud platforms (AWS, GCP, Azure) along with MLOps practices. This graduate role is for Tech Recruitment UK Ltd, a recruitment firm that places candidates in AI/ML positions. No specific team or product details are listed.

You will use machine learning to support Epic Games' work on award-winning games and engine technology that powers visually stunning interactive experiences.

Work with Machine Learning and Generative AI to solve real-world problems at scale. You will join a technology consultancy delivering cutting-edge AI solutions within the UK National Security sector.

Senior Machine Learning Engineer working with C++, CUDA, Python, and PyTorch. The role is within an AI technology company developing next-generation machine learning solutions for complex real-world applications.

Senior Machine Learning Engineer role working with GPUs, QPUs, and hardware acceleration platforms for ML models. The team focuses on modelling and simulation for an electronics manufacturer.

You will design and deploy data pipelines, ML models, and production systems delivering real-time insights and automation. The work involves strong software engineering fundamentals and hands-on data experience for a leading business expanding its team.