This role involves working with Selenium, Java, UFT, SQL, Azure DevOps, ALM, and CREST settlement systems, including CREST, SWIFT, and ISO15022/ISO20022 messaging. You will define testing strategies and execute automated and manual tests for complex post-trade and securities settlement platforms. The position is within an Agile delivery team in the financial services sector.

You will use Python, JavaScript, Microsoft 365, Power Platform (Power Apps, Power Automate), and APIs to design, build, and enhance internal applications, automations, and AI-powered solutions. This role supports a technology-led company investing in AI and automation by developing internal tools that improve business efficiency and productivity.

Quantitative researchers will develop mathematical, statistical, and machine-learning models for systematic trading, working in Python, with C++ and SQL as desirable, alongside large-scale data analysis. The role spans full research-to-production, collaborating with portfolio managers and engineers at a global quantitative investment firm. No team size is stated.

Trainees will learn Linux, Git, Docker, CI/CD, AWS, Azure, Google Cloud, and scripting for automation, container orchestration, and IaC. They will build CI/CD pipelines, deploy to cloud environments, manage containers, and implement monitoring and logging. No prior DevOps experience is required.

Work with Kotlin, SQL/noSQL, TensorFlow Lite, Coroutines, Flow, and REST/gRPC to build a production Android app for an AI-powered proactive smart assistant that handles multi-step workflows and real-world task completion.

Build and maintain iOS applications using Swift and SwiftUI, integrating AI features backend APIs and on-device inference with TensorFlow Lite. The team is building an AI-native proactive smart assistant that handles long-running workflows, multi-step reasoning, and real-world task completion for everyday users.

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.

You will work hands-on with React Native, Kotlin, MongoDB, Jira, Git, CI/CD, and RESTful APIs, acting as scrum master for Reset Health’s Live Platforms team. The team delivers production releases every two weeks, handling customer customisations, enhancements, bug fixes, security patches, and 2nd-line technical support.

Sainsbury’s★3.5 (16k)· London

As Engineering Manager in Integration, you'll lead and coach a multi-skilled team building reusable integration kits, common components, and platform services using JAVA. You'll drive CI/CD, observability, and cloud-native services to standardise how integrations are built, deployed, and operated across Sainsbury’s.

Build AI-enabled products using Python, TypeScript, Java or Go at a YC-backed AI start-up. Work directly alongside founders to ship customer-facing solutions and shape both product and engineering culture from day one.

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.

You will work with Python, Node.js, PyTorch, OpenAI/Anthropic/open-source LLMs, SQL & NoSQL, Kubernetes, and Docker. You own the inference and orchestration layer for a proactive smart assistant that handles multi-step reasoning, tool calls, and long-running workflows, turning model capabilities into stable, production-grade APIs.

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.

Senior Java Developer using Java, multithreading, concurrency, data structures, algorithms, and Linux internals. The role is within a global consultancy delivering software engineering and transformation projects, primarily for banking and financial services.

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.

Python (FastAPI), TypeScript (Express), AWS (serverless), Terraform, Docker, PostgreSQL, DynamoDB, GitHub Actions, and React. The team builds the Orchestra control plane for data and AI, used by enterprises like Experian and Octopus Energy.

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.

Work with Java, Spring Boot, REST APIs, microservices, and cloud technologies to design and develop scalable backend solutions for critical banking platforms. You will join an experienced engineering team building high-impact financial services used across a global banking organisation.