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.

You will work with C#, .NET (.NET Core/8+), SQL

You'll work with Azure-hosted solutions, automated CI/CD pipelines, and test automation, building accessible, component-oriented front ends meeting WCAG 2.2 AA standards. You'll help lead Canada Life's Digital Product Team, modernizing its IT estate by delivering customer-centric digital products across the full lifecycle. You'll be one of several Lead Engineers, but team size isn't stated.

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.

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.

Lead Software Engineer role: leads a hands-on engineering team building greenfield applications using C#, .NET, Angular 16+ within a global energy trading company.

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.

Design and evolve multi-agent systems and LLM pipelines on AWS Bedrock using LangGraph, Strands, Python, and frameworks like CrewAI. You will architect agent topologies, manage cloud infrastructure (ECS Fargate, Lambda, Step Functions), and build evaluation frameworks for AMPLIFYR’s AI-powered brand analytics platform.

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.

You will work with Azure, CI/CD pipelines, test automation, and modern front-end frameworks/libraries, applying WCAG 2.2 AA and Core Web Vitals. As a Lead Engineer on Canada Life UK’s Digital technical leadership team, you will specialise in UI/UX, accessibility, and front-end performance for customer-facing digital products serving retirement, investment, and protection needs.

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.

A Senior Full Stack Developer is needed to work with Angular, .NET, and legacy ASP.NET MVC. The role involves developing, enhancing, and modernising business-critical Front Office applications for an Investment Bank.