You will work with C#/.NET, Vue.js or React, AWS (SQS, DynamoDB, S3, ECS, Lambda), and agentic coding tools (Copilot, Cursor, Claude Code) in CI/CD pipelines with GitHub Actions. Your squad owns a slice of the cross-border payments platform, building and running the services, APIs, and partner integrations that move money for Xe’s customers.

Founding ML Engineer role at an early-stage consumer health-tech startup building systems for chronic disease management. You will own the technical stack end-to-end, working with Python, Bayesian/probabilistic modelling, NLP/LLM tooling, knowledge graphs, and causal inference methods. The 12-month fixed-term position involves co-designing a domain ontology and building extraction pipelines with human-in-the-loop validation, with a path to CTO.

You will work with LLMs, APIs, data pipelines, CRMs, ticketing systems, and platform tooling to architect and deploy AI agents. As part of the Agent Deployment Engineering Org at the conversational AI platform Decagon, you own end-to-end agent builds for enterprise customers. In this customer-facing role, you interface with senior technical stakeholders to drive implementation and production deployment.

You will use .NET C#, LINQ, MS SQL, Entity Framework, GIT, REST APIs, Docker, and Agile methodologies to design, build, and debug web and mobile applications. You will join the TransPerfect TechOps team, which delivers the company's GlobalLink platform and related client interfaces.

Microsoft★4.2 (9k)· London

Lead a multidisciplinary engineering team delivering production-ready, AI-powered solutions directly within customer environments. Leverage LLMs, cloud AI platforms, prompt engineering, and retrieval-augmented approaches to solve complex organizational challenges. Manage a portfolio of engagements, coaching engineers across software, data science, and program management.

You'll work with TypeScript, Python, Playwright, Cypress, WebdriverIO, Node.js, Docker, and GitHub Actions/GitLab CI to build and maintain test automation frameworks and CI pipelines for Connected TV devices. You'll join FX Digital's Quality Engineering team, taking ownership of automation platform pieces and mentoring junior engineers—no prior TV experience required.

Meta★4.0 (1.1k)· London

Business Support Engineer supporting Meta's Business Agent, an AI platform helping businesses boost productivity. Work with Python, PHP/Hack, JavaScript/React, REST APIs, SQL, PyTorch, Llama and other LLMs, plus cloud infrastructure (Kubernetes, Docker). Provide engineering support, troubleshoot distributed systems, and build AI solutions from prototype to production.

You'll work with Java, Python, JavaScript and Agile methods to design, build and test software. The Engineering Platforms team delivers a modern software development tools chain for engineers across NatWest Group.

You'll work with React, TypeScript, and Python (or Node.js) to build AI-driven matchmaking systems connecting pharma with medical experts. The platform processes 9M+ clinician profiles and billions of records, automating healthcare commercialization workflows for global drug development at G LNK (YC W25).

UST★3.7 (1k)· London

You will architect, build, and scale enterprise-grade, cloud-native AI services and platforms using Azure/AWS/GCP, LLMs, RAG, microservices, APIs, and CI/CD pipelines. You will define the engineering vision and roadmap for UST’s AI offerings, transitioning capabilities from PoC into production-ready, modular, and commercially viable products. You will lead a large, cross-functional engineering organization.

Microsoft★4.2 (9k)· London

Lead a multidisciplinary engineering team using AI and LLM-based solutions, including prompt engineering, retrieval-augmented approaches, model tuning, cloud AI platforms. The team operates in a Forward Deployed Engineering (FDE) model, embedding with customer teams to build production-ready solutions. No team size specified.

IFS★3.8 (14)· London

Lead/Senior Software Engineer will work with Large Language Models (LLMs), agentic AI, and cloud-native technologies to build production AI systems. The role involves designing, building, and evolving enterprise software within the Enterprise Asset Management team, applying AI to solve complex customer problems at scale.

Build backend databases in SQL Server and Azure, build machine-learning models in Azure, Microsoft Fabric and Alteryx, and develop front-end apps using Python, SQL, C#/.NET and JavaScript for the SMDAM Private Markets team. The role drives private credit data infrastructure end-to-end, extracting insights from text to power deal-sourcing and monitoring across the entire private credit lifecycle.

Work with AWS, Docker, Kubernetes, CI/CD pipelines, infrastructure-as-code, and Python/Go/Ruby/JavaScript. You will support Digital Engagement products and help build the AI Platform at SBS, a global fintech partner for banks and financial institutions.

You will develop neuro-symbolic AI architectures for Project SENTINEL, an Innovate UK grant-funded initiative building provably safe guardrails for autonomous systems. Your daily work involves Python and ML libraries (PyTorch, TensorFlow, scikit-learn) to design deep learning models, NLP systems, and scalable ML pipelines for production deployment.

Research Engineer role at Electric Twin, a London AI company building LLM-powered synthetic populations for behavioral prediction, using technologies like chain-of-thought prompting, RAG architectures, multi-agent tool use, Python, and FastAPI. You'll design memory systems and decision-making frameworks within the Science team, running experiments to validate agent behavior against real-world data.

Work with Vue.js, React, or Angular, JavaScript, HTML/CSS, and Figma. You will implement features and build reusable UI components for TransPerfect's TechOps team, which delivers workflow tools and client interfaces for the GlobalLink platform.

You'll build end-to-end features for &Dine's food marketplace using Vue.js/Nuxt.js, Node.js, TypeScript, MySQL, Docker, and AWS. The platform connects independent Makers with customers seeking handmade food. You'll be part of a lean engineering team of four, owning from design to deployment and mentoring junior engineers.

Infosys★3.8 (17k)· London

Lead Consultant role at Infosys, based in the Netherlands, working with .Net and WPF technologies. The listing focuses on Infosys’ corporate culture and career growth rather than a specific project, team size, or product details. No additional technical tools, project scope, or team leadership specifics are provided.

The role involves developing Salesforce Lightning and Force.com solutions using Apex, SOQL, and JavaScript, with object-oriented programming in Java or C#. Git, Jira, IntelliJ, CI/CD, and Salesforce REST APIs are also mentioned. The position is with Hackajob Ltd, but the listing gives no details on the product or team.

Lead, coach, and mentor engineers using Java and JavaScript frameworks. The client is a healthcare provider building modern, scalable products to deliver world-class patient experiences across the UK as part of a digital transformation.

Build full-stack products from scratch using TypeScript, React, Node.js, Python, JavaScript, SQL/NoSQL databases, Google Cloud, and AI/ML/LLM tooling. The ITO builds proprietary AI infrastructure, consumer/enterprise digital products, and the data/intelligence layer for Steven.com's creator-economy operating system. You will work directly with the VP of Engineering and product leaders on features and strategy.

You will develop real-time object detection, multi-target tracking, and sensor fusion algorithms using Kalman filters, deep learning, and data from EO/IR cameras, radars, and IMUs. You will interpret sensor ICDs and deploy perception software on SWaP-constrained airborne platforms, collaborating with autonomy and integration teams for Hivemind-powered unmanned aircraft operating in contested environments.

Senior Quality Engineers will build AI Agents, test frameworks, CI tooling and helpers using LLMs and AI tooling, working with GitHub Actions and observability (Datadog, Sentry, Grafana) across an AI-assisted testing function. The team defines Lendable's test pyramid, improves E2E automation, and partners with product and engineering to shift quality left across credit products.

You'll work with AI agents, LLMs, test frameworks, CI tooling (GitHub Actions), and observability stacks (Datadog, Sentry, Grafana) to automate quality across Lendable's fintech credit products. The role enables cross-functional product teams to maintain high quality through hands-on coding, AI-assisted test authoring, and shift-left practices.