You will work with foundation models, multimodal learning, time-series modeling, generative models, reinforcement learning, agentic systems, simulation, world models, representation learning, and AI evaluation. As part of AVEVA’s frontier AI research team within the Chief Technologist Organization, you will define and pursue high-impact research, build experimental prototypes and validated systems for industrial intelligence, and publish at leading AI venues.

Develop novel ML architectures (GNNs, foundation models, active learning, Bayesian optimization) using PyTorch or JAX. You will drive the core discovery engine of an autonomous laboratory for materials science, accelerating scientific discovery.

Deloitte★3.9 (14k)· London

You will work with Python, NumPy, Pandas, scikit-learn, LangChain, Hugging Face, LlamaIndex, Azure Machine Learning, Foundry, Git, and Agile practices. The team is Deloitte’s Tax Digital Innovation AI & Data Studio, which researches, builds, and delivers analytics and AI-driven solutions for tax and legal clients.

As a founding AI engineer, you will work with LLMs, Python, PostgreSQL, and React/TypeScript to build production-ready algorithms and evaluation pipelines for patent generation. You will lead proprietary algorithm development for Solveintelligence’s AI platform, which transforms the intellectual property landscape for 400+ global enterprise customers like DLA Piper.

Work with Python, SQL, JavaScript/TypeScript, NumPy, Pandas/Polars, visualization libraries, and deep learning frameworks (PyTorch, JAX, or TensorFlow) to design and deploy full-stack data-driven applications and machine learning solutions. You will be embedded with Arsenal's Men’s First Team Analysis department, building tools that directly support coaching and analysis workflows.

Build and ship AI features using Python, PyTorch/JAX, LLMs (OpenAI-style APIs, LLaMA, Qwen), vLLM, and vector DBs. You'll work on a proactive smart assistant that handles long-running workflows, persistent context, multi-step reasoning, and external tool interaction for everyday users.

VueJS 3, JavaScript (ES6), HTML5, CSS3 (SASS), RESTful APIs, GIT, Azure DevOps (CI/CD), Jest, Cypress/Playwright. Build and maintain modern web applications, developing reusable UI components and ensuring responsive, accessible, performant frontends.

A global trading firm trading ETFs, Equities, Futures, Commodities, Options, Bonds, and Currencies seeks a Machine Learning Research Engineer. Machine Learning is a critical pillar of the firm's technology. No specific tools or team size are stated.

As a Senior Machine Learning Engineer on a multidisciplinary data and AI team, you will lead complex ML work end-to-end in a secure, highly regulated environment. The listing does not specify particular technologies, languages, or tools. This is a hands-on practitioner role with high autonomy, not a people-management position.

You will work with Python as a full-stack developer. The company develops advanced artificial intelligence and machine learning solutions for defence, security and other demanding real-world environments, specialising in computer vision.

Teksystems★3.8 (4.7k)· London

You will work with Java (Spring Boot) and Angular to enhance and maintain a large-scale customer relationship management platform for a Tier 1 banking client.

Full Stack Developer role using C#, .NET, JavaScript, and Umbraco for an established luxury travel company. The work involves a major transformation programme building web-based tools to automate operational tasks, improve pricing accuracy and management information, plus website enhancements.

You'll work with JavaScript, Java, .Net, or Python; version control (e.g., Git, Mercurial); CI/CD tools (e.g., Jenkins, TeamCity); and automated testing frameworks. The team collaboratively designs and builds proof-of-concept or production systems.

You'll work with AWS, MySQL, Angular, Bootstrap, Kotlin, Spring Boot, microservices, IBM watsonx AI, and third-party integrations (Intercom, GetAccept, Calendly). The role covers MyIntent, Bequeathed's platform for online will-writing and expanding later-life services like LPAs and estate administration, delivered as SaaS via B2B2C partners. It's a senior individual-contributor role with technical leadership, not large-team management.

Build pipelines and models using Python, TypeScript, and Next.js to transform unstructured data into structured, queryable formats for an AI platform supporting private-equity reasoning. You will join a six-person founding technical team focused on NLP, information extraction, and representation learning.

You will work with React, modern JavaScript/TypeScript, and APIs. As part of a fintech engineering team, you'll build data-intensive platforms that support business-critical workflows, taking ownership of features from design to deployment.

You will work with the PyData stack (pandas, numpy, scikit-learn, XGBoost) and advanced ML methods like neural networks to build predictive models and proprietary metrics from high-frequency cricket tracking data. CricViz is a market leader in cricket data analysis, serving broadcasters, teams and gaming platforms.

You will work with Python, NumPy, SciPy, simulation modelling, optimisation under uncertainty, cloud deployment, and machine learning. The team builds an AI operating system for secure environments, taking complex scientific models from prototype to production across government and commercial programmes.

You will use Python, Java, or C++ with machine learning frameworks like TensorFlow and PyTorch to build scalable AI models. You will enhance AI capabilities for a financial institution serving the finance and insurance sector.

Design, build, and deploy LLM-powered systems using Python as a founding AI engineer at an early-stage start-up solving a real-world problem. You will work directly with the founders as one of the first technical hires.

You’ll work with Python, Docker, CI/CD, AWS or Azure, SQL, Linux, Bash, Git/GitHub, and optionally Streamlit, Rust/C/C++ or React. You’ll join the Internal Tools team at an AI scale‑up building the systems that deploy, operate and scale its flagship AI product for data‑centre energy efficiency.

You will work with Git, backend systems, distributed systems, APIs, SDKs, and developer platforms. As a maintainer and product engineer for the OpenClaw Foundation—steward of the world’s largest open source AI agent project—you will design, build, and evolve the OpenClaw platform while supporting the broader contributor community.

Work with Java, Spring Boot (including Batch and Cloud), microservices, REST API, GraphQL, NoSQL (Azure Cosmos DB), Confluent Kafka, OAuth 2.0, Microsoft Entra ID, and Azure Cloud Services (App Services, Azure Monitor, API Management). You will build and maintain backend services for an unspecified product or project at Infinity Quest.

Appvia★0.0· London

You’ll work with Java, Spring Boot, TypeScript, MongoDB, Docker, Kubernetes, Maven, and GitLab. You’ll join a client-facing software engineering practice delivering a modernisation and AI-enabled transformation programme as a greenfield build within a brownfield ecosystem.