You will work with Generative AI, LLMs, OpenAI, LangChain, Hugging Face, PyTorch, TensorFlow, FastAPI, Streamlit, and cloud platforms (AWS/GCP/Azure). You will design and deploy GenAI solutions—including RAG pipelines, fine-tuning, and prompt engineering—for enterprise use cases such as customer service, document automation, and knowledge retrieval on the Data Science Team at a global data and AI company.

Lead a team building scalable cloud-hosted systems using Java, Python, ReactJS, AWS, and Google Cloud Platform. This engineering manager role owns technical stewardship for product mission teams within NatWest Boxed, a high-performing product engineering organisation. Direct reports include software and quality engineers across empowered squads.

Works with Apache configs, CLI tools, Chrome DevTools, Lighthouse, PageSpeed Insights, WebPageTest, Jira/Azure DevOps, HTML, CSS, JavaScript, and structured data. Leads Croud's Web Experience and Technical SEO capability, auditing and optimizing client sites for traditional search, AI summaries, and LLM interfaces, including migrations and

You’ll work with JavaScript, TypeScript, React, Next.js, Node.js, Python, WebGL/Three.js, Unity/Unreal/TouchDesigner, Generative AI/LLMs, ComfyUI, vector databases, and AWS/GCP/Azure. WPP Production is a global content production company delivering multi-channel content systems at scale. As technical leader, you’ll mentor and line-manage junior developers, though team size isn’t specified.

You will work primarily with JavaScript/TypeScript, React, and AWS, architecting full-stack apps alongside Node, Webpack, MobX, Redux, Spring Boot, and Kafka. As part of the Transaction Banking Digital Engineering team, you will lead the design and implementation of UI components for a scalable, cloud-based platform providing corporate cash management solutions via APIs, portals, and SWIFT. You will manage a group of engineers, contribute to the product roadmap, and drive engineering culture.

Platform Engineer role at Freetrade, working with Google Cloud infrastructure, Kubernetes, serverless, Terraform, and Node.js (TypeScript). The Platform Engineering Team builds foundational CI/CD pipelines, logging, observability, and security systems to support product, frontend, and data engineering teams.

Bloomberg★3.8 (1.1k)· London

Work in Go, C++, and Python on Bloomberg’s distributed OLTP storage platform, built with Vitess, MySQL, MyRocks, and RocksDB. The team operates over 10,000 MySQL shards serving petabytes of financial data, building custom read/write APIs and contributing fixes upstream. This hands-on role combines distributed systems and database internals.

Build and streamline CI/CD pipelines using GitLab CI/CD, Helm, ArgoCD, and Terraform. Containerise and migrate workloads into Kubernetes and OpenShift, automating with Bash, Python, or Go across hybrid cloud environments (AWS, IBM Cloud, GCP, or Azure). You will complete a free 16-week course to develop mid-level skills before a potential client role.

Develop NatWest Boxed, a banking technology product, using Java, Spring Boot/Micronaut, Kubernetes/Docker, AWS, and Kafka/event sourcing. As a technical lead, you'll support junior engineers on core cross-functional mission teams. The listing doesn't specify team size.

Senior Simulation Engineer: work with Python, Docker, Linux, GPU-based simulation, CI/CD, cloud execution, and ROS/ROS2, plus platforms like CARLA, Gazebo, or Omniverse. Build and extend simulation tooling for AeroVect's autonomy stack, which automates ground handling for airlines and ground service providers. Includes scenario execution in the cloud, evaluation layers, and failure-triage tooling.

The role involves Python, pandas, OOP, SQL (PostgreSQL, Snowflake), CI/CD pipelines, git/GitHub, and GitHub Copilot, with JavaScript, Flask, or FastAPI helpful. You'll develop in-house fund management tools for the Index team at L&G Asset Management, analyzing portfolio performance and supporting data pipelines. L&G is a major global asset manager and UK financial services group.

Work with JavaScript, React or Svelte, D3, QGIS, Mapbox, Leaflet, R or Python, SQL, Git and AI models. Build interactives, calculators and data-led stories for The Times and The Sunday Times’ data journalism team.

Lead engineers on Canada Life’s Digital Product Team build user-facing products with modern front-end frameworks, CI/CD pipelines, and Azure-hosted solutions, specialising in UI/UX, accessibility (WCAG 2.2 AA), and front-end performance. They lead cross-functional squads through the full lifecycle, coaching engineers and setting technical direction for customer-centric digital experiences.

Work with Ray, Spark, Dask, Databricks, Anyscale, Cloudera, Snowflake, Kubernetes, and GPU-heavy distributed training (e.g., XGBoost via Ray) to build a greenfield research stack for a prop trading firm's new central trading team.

You will work with TypeScript, React, HTML5, CSS, JavaScript (ES6+), FDC3, REST/WebSocket APIs, OpenFin, Chromium, Electron, Kafka, Solace, Tibco, Jenkins, and AI-assisted development tools. The team delivers pricing solutions for the Foreign Exchange (FX) business, building high-quality trading GUIs for internal and external traders. As a Vice President, you provide technical leadership and mentor junior engineers on a globally distributed team.

Work with AWS/GCP/Azure, Kubernetes, Terraform, CI/CD systems, GPU infrastructure, and ML training/inference pipelines to build and scale AI-powered search and knowledge tools. You will directly manage one or more infrastructure teams (5–15+ engineers, growing to 15–30+) as you establish Perplexity's London office.

You will work with Java, Spring Boot, Hibernate, REST APIs, microservices, Spring MVC, Spring Data JPA, Spring Security, and SQL databases (MySQL/PostgreSQL). You will design, develop, and maintain scalable Java-based applications and microservices for enterprise clients as part of a UK-based IT consultancy serving Fortune 500 and FTSE 100 companies.

You'll work with JavaScript, ElasticSearch, OpenSearch, MongoDB, Apache Kafka, EKS and Kubernetes on Ripjar's Labyrinth Screening SaaS platform, which automates detection of financial crime for banks and governments. This role leads technical decisions and architecture for scaling the platform.

Build and ship end-to-end features using TypeScript, Vue.js/Nuxt.js, Node.js, Docker, AWS, MySQL, and AI-assisted tools like Claude. You’ll own infrastructure and deployment for &Dine’s online food marketplace connecting independent makers with customers. Join a lean engineering team of four.

Optimize ML inference for edge accelerators and GPUs using TensorRT, CUDA, Qualcomm QNN, Triton, OpenCL, MLIR, ONNX, Python, and C++. You will run large transformer-based models efficiently on low-power edge devices to enable Wayve’s first driving product.

You will work with Python, C++, LLMs, deep learning frameworks (TensorFlow, PyTorch, JAX), optimisation methods, reinforcement learning and generative models. The team applies AI to semiconductor design and optimisation while conducting fundamental research for internal use and the scientific community.

Principal researcher role using Python, C++, and frameworks like TensorFlow, PyTorch or JAX, with focus on LLMs, optimization, reinforcement learning and generative models. The research team applies AI to semiconductor design and fundamental research for internal and scientific community. Leadership duties include shaping research strategy and mentoring senior researchers; no team size specified

This role uses PyTorch and optimisation toolchains like TensorRT, CUDA, Qualcomm QNN, Triton, or OpenCL. You will deliver production-ready model releases for Wayve’s Embodied AI products that enable automated driving.