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.

You'll work on maintaining the stability and performance of core data and ML systems, using data science and AI. The role is with a FTSE 100 company that applies AI to improve customer experience, optimise supply chains, and drive sustainable growth.

Work with AWS services and Databricks to build data pipelines for advanced analytics and machine learning models, collaborating closely with a data science team at a data- and analytics-focused London firm.

Harvey Nash★3.8 (49)· London

You will build enterprise-scale applications using Java, Spring Boot, microservices, and front-end technologies (likely React or Angular), with exposure to AI tools and modern DevOps practices. You will join a high-performing engineering team at Harvey Nash, developing large-scale software solutions in a hybrid London-based setting.

Senior Java Full Stack Developer building large-scale enterprise applications for a global financial services firm. You will work with Java and embrace AI-powered development on modern software engineering projects.

A Java Full Stack Developer role building enterprise software and embracing AI-powered development. You will work on large-scale enterprise applications within a global financial services organisation, using Java as the core technology.

Build customer-facing web applications with React, Next.js, Node.js, TypeScript, and Postgres. You will work on transactional flows involving payments for SwapTix, a ticket exchange platform.

You will work with Angular and .NET to build and maintain front-office web applications, migrating legacy systems onto modern frameworks as part of a Markets IT team at a global investment bank.

Senior full-stack role designing and scaling cloud-native applications for a global investment bank’s risk management space. Technologies include Java, Kotlin, React, and AWS. Work involves end-to-end development alongside cross-functional engineering teams.

Big Potato· London

You will own and evolve a Flutter companion app and confidently handle backend work on Node/TypeScript MongoDB systems. Additionally, you will maintain the gaming web platform and its integrations. The role works closely with a Senior Game Developer on the platforms behind Big Potato's games.

Harvey Nash★3.8 (49)· London

Lead backend development of enterprise-grade Java solutions for an Investment Bank. Core technologies include Java and server-side development; the role drives architectural decisions for scalable systems and guides development teams on technical strategy and best practices.

You will work with Python, Machine Learning, Go, and Terraform on a large strategic consulting engagement. The current team of 4 software developers is expanding with 2 new hires.

Develop enterprise-grade software using C#, .NET, Azure, SQL, Angular, MVC, and Docker. You will design, develop, and maintain applications while collaborating with cross-functional teams, performing code reviews, and troubleshooting technical issues.

Work with Java, Spring, and AWS on a cross-functional, service-oriented team extending and maintaining Awin's Affiliate Marketing platform. You will design reliable services, write clean, well-tested code, and take ownership of meaningful engineering challenges.

You will work with Astro, Sanity, GROQ, Portable Text, TypeScript, HTML, CSS, Tailwind CSS v4, Figma, SSR, serverless/edge runtimes, SQL, and CI. You will co-own the component library, content model, and rendering stack for synthesia.io, the marketing website of the world’s leading AI video platform.

LSEG★3.7 (403)· London

Work with Azure, AWS, Terraform, Bicep, CloudFormation, Ansible, Docker, Kubernetes, Python, Bash, PowerShell, Go, CI/CD, and generative AI tools. Build scalable AI products and platforms by owning cloud infrastructure, delivery pipelines, and operational engineering. This individual contributor role provides functional leadership, guiding engineers without direct reports.

You will work with Python, Go, or PowerShell; REST APIs for Slack, Google Workspace, and Okta; SaaS security tools like AppOmni or Adaptive Shield; and Google/Atlassian stacks, IAM, DLP, and data governance systems. You will safeguard corporate identity systems, sensitive data, and physical workspaces for a team advancing AI-driven drug discovery.

WTW★3.6 (1.7k)· London

This role shapes WTW’s enterprise-wide AI engineering capability, defining technical direction for production-grade generative AI and agentic systems. You will work with Microsoft Foundry, Copilot Studio, Lyzr, Anthropic Claude, Moveworks, LLM/agent frameworks, and Model Context Protocol while building RAG pipelines, LLMOps practices, and governed integration patterns.

Wise★3.5 (42)· London

Work with Python, big data tools like Hadoop or Spark, and cloud platforms such as AWS, GCP, or Azure, collaborating with engineers on the Treasury team. Build and refine models to forecast and manage liquidity, balancing sufficiency and risk for Wise’s multi-region money movement products.

Wise★3.5 (42)· London

You’ll use Python, SQL, predictive ML models, recommendation systems, and A/B testing to own production-level model pipelines. Wise is a global fintech moving money across borders. In this IC role on the CRM Tribe, you’ll develop learning systems that recommend the right product to the right customer at the right moment.