ServiceNow Architect using CSM, ITSM, ITOM, CMDB, TNI, IntegrationHub, JavaScript, Flow Designer, and TMF APIs to design and configure telecom BSS/OSS/Network solutions. The role leads ServiceNow implementation and integration for a consulting practice transforming telecom operator operations.

You'll work with GA4, Google Merchant Center, and Excel/Google Sheets, with Python, JavaScript, PHP, or HTML also beneficial. As the autonomous SEO lead for Karen Millen, you'll drive organic traffic, optimize on- and off-page elements, and spearhead AI Optimisation (AIO) and Generative Engine Optimisation (GEO) strategies for the brand's website.

Staff Machine Learning Engineer role at Sony Interactive Entertainment's Visual Computing Group, working with TensorFlow or PyTorch and Python for graphics and video processing. The team designs and deploys neural networks for game rendering and live streaming R&D. Requires 7+ years experience and publications at top-tier conferences.

Lead a team of three data scientists and three ML engineers using Python, Kafka, Spark, Flink, and on-device ML to transform phone sensor data (accelerometer, GPS) into driving-behavior models for fair insurance pricing and safety. The role owns the full telematics and pricing stack, reporting to the Director of Data.

Build production-grade generative and agentic AI using Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure, GCP, vector stores, SQL, Kubernetes, and CI/CD for the company’s product platform.

You will work with n8n, GPT, Claude, Gemini, and other LLMs, using APIs, webhooks, SQL, Python, and JavaScript to build production-ready AI agents and automations. Geomiq operates a digital manufacturing platform connecting engineers with global partners, and you will automate workflows across Sales, Operations, Supply Chain, Finance, and Product teams as their first dedicated AI builder.

You will work with Java microservices, Spring Boot, Python, SQL, Snowflake, dbt, Airflow, LangChain, Sagemaker, and MLflow. The data science team builds ML solutions for risk-based decisioning, pricing, and operational automation in insurtech/fintech. This is a hands-on leadership role—you will lead and develop the team while setting technical standards.

You’ll work hands-on with React, JavaScript, Python, GCP, Terraform, Git, and AI/ML tooling. As part of ace, you’ll own the build-out and enterprise adoption of a leading global hedge fund’s in-house automated testing platform, with full-stack development, CI/CD, and governance. You’ll mentor a small QA function transitioning from manual testing.

You will build a bespoke blockchain from scratch using Rust, C++, CUDA, Solidity, TypeScript, React, and Node.js. Arena Entertainment builds digital entertainment platforms including MetaWin and WOW Vegas, and is creating a new blockchain for gaming and DeFi.

Senior UI Software Engineer role at Citi building trading GUIs for the Foreign Exchange business, covering full development lifecycle with technical leadership. You will use TypeScript, React, JavaScript, HTML5/CSS, FDC3, REST/WebSocket APIs, Kafka/Solace/Tibco, and CI/CD tools like Jenkins, with desktop container experience in Chromium/Electron/OpenFin.

Cushman & Wakefield★3.6 (2.3k)· London

You will work with Microsoft Azure, VMware (AVS, NSX-T, Aria Operations, Automation, HCX), Azure DevOps, GitHub, PowerShell, Terraform, Ansible, Bicep, and various Azure services. You will implement and manage cloud solutions for Cushman & Wakefield, a global commercial real estate services firm.

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.

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.

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.

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.

Junior Frontend Engineer role at Fortex, within Valton Sport Agency, working with HTML, CSS, JavaScript, and modern frameworks like React or Next.js. The team of designers, engineers, and strategists builds digital products, interfaces, and brand identities for clients. The role includes mentorship from senior engineers and work on real client projects.

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.

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 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.

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.