LSEG★3.7 (403)· London

Core AI Engineer role at LSEG building enterprise-grade AI products using Python, LLMs, GenAI, agent frameworks, RAG architectures, vector databases, APIs, microservices, and cloud-native development (Azure preferred). The AI & Automation team transforms LSEG operations through AI, automation, and intelligent engineering, delivering scalable AI solutions. Requires designing architectures, MLOps, CI/CD, and technical leadership across AI initiatives.

Expedia Group★3.8 (1.2k)· London

This Machine Learning Scientist II role develops and optimizes ranking models using machine learning and GenAI for travel lodging search and recommendations. The position involves Python, common ML frameworks, A/B testing, and deploying models into production. You will work on the Lodging Search Ranking AI team, collaborating with analytics, product, and engineering to improve traveler experiences.

You will execute A/B tests, multivariate tests, and personalisation campaigns using platforms like Optimizely, VWO, and Adobe Target, working with analytics suites such as Google Analytics 4 and Adobe Analytics, plus CMS and CDP tools. The role drives daily execution of the Rapid Iteration & Optimisation framework, collaborating with Paid Media, CX, and Development teams to deliver performance-enhancing site updates.

Works with A/B testing tools (Optimizely, VWO, Adobe Target), analytics (GA4, Adobe Analytics) and CDPs (Segment, Tealium), plus basic HTML, CSS, JS. Executes daily high-velocity site optimisation and continuous improvement for global clients within WPP Enterprise Solutions, collaborating with Paid Media, CX, and Development teams.

Superdrug★3.3 (3k)· London

Design polished, accessible, development-ready digital experiences for Superdrug’s website and mobile app using Figma (including components, variants, and design system patterns). Own product-design projects from problem definition through wireframing, prototyping, and high-fidelity UI, collaborating with developers, product teams, and analytics.

Deloitte★3.9 (14k)· London

Lead the end-to-end creation and dissemination of commercially focused healthcare insights, working with Deloitte’s AI core teams, global industry colleagues, and PR teams. The role sits within a life sciences and healthcare research team of three, collaborating with a wider team of 14 UK-based industry-focused researchers. You will use research methodologies, including qualitative and quantitative techniques, and Generative AI tools to translate complex industry trends into actionable insights for clients.

Little Dot Studios★4.0 (2)· London

The researcher will use G-Suite including Sheets and Asana or equivalent project-management software. The role is on Little Dot Studios' Original Production team for a new YouTube channel covering business and money history; the company is a multi-platform production company, social media agency, and digital media network.

Tempcover★0.0· London

You'll shape information security strategy using Vanta, GenAI, and cloud-native tools, performing vulnerability scanning and patching at Tempcover, an InsureTech company offering short-term car insurance. You'll lead a small, close-knit team with scope to build out a dedicated security function.

Deloitte★3.9 (14k)· London

You’ll work with AI, generative AI, automation, data tools, and workforce analytics in HR transformation projects. Deloitte’s Human Capital practice (1,000+ UK professionals) delivers HR and organisational transformation for large Financial Services and global brands, covering strategy, operating models, talent, and reward. No team size specified for this Consultant/Senior Consultant role.

The AA★3.1 (797)· London

You'll design enterprise AI solutions using Large Language Models, Retrieval Augmented Generation, AI agents, orchestration frameworks, and cloud-native architectures on Azure, AWS, or similar. Working with engineering, data, product, and security teams, you'll shape The AA's AI roadmap for its motoring products and services. No team size is stated.

You will work with Python, FastAPI/Flask, PostgreSQL, MySQL, BigQuery, GCP and/or AWS, and IAC/CI/CD tools to build production-grade data pipelines and MLOps infrastructure. You’ll join Ki’s commercial performance insights squad to upgrade algorithm decision data to a versioned event stream and support a Monte Carlo simulation engine for an algorithmic insurance carrier. The role is in an agile, cross-functional squad.

Synapri★0.0· London

You will use Python, SQL, PySpark, NLP, GenAI, and Azure with CI/CD to build end-to-end data science solutions. As part of a customer’s Journey Insights team, you will transform structured and unstructured customer interaction data into insights and production-ready models using machine learning, NLP, and generative AI.

Founders Factory★0.0· London

You'll work with modern AI tooling, generative AI, agentic systems, and data science solutions to build new ventures from scratch across finance, healthcare, and other sectors. As part of Founders Factory's venture studio and accelerator, you'll set technical direction, build internal AI infrastructure, and advise early-stage founders.

Cognizant★3.8 (17k)· London

Work with ServiceNow modules (CSM, ITSM, ITOM, CMDB, TNI), IntegrationHub, TMF APIs, NowAssist/GenAI, JavaScript, Flow Designer, REST/SOAP, and MID Server. Lead solution design and implementation for telecom BSS/OSS/Network environments.

UST★3.7 (1k)· London

You will design and build agent-based AI systems using Python, LangChain, LlamaIndex, and AWS, focusing on multi-agent orchestration, RAG pipelines, and LLM-powered application backends. At UST, a digital transformation solutions provider, you will deliver production-grade, agent-based AI solutions integrated into complex enterprise environments.

You will test dynamic, non-deterministic LLM-based chatbot systems, working with conversational AI, RAG, and performance testing. This role is on a newly formed multidisciplinary team of 5 responsible for the conversational AI components across a WebApp.

Capgemini★3.7 (11k)· London

Business Analysts work with SAP, Informatica, IBM, and Oracle to deliver enterprise data management, governance, compliance, and AI/ML solutions within Capgemini’s Insights and Data unit.

You'll work with Python, FastAPI, Postgres, Docker, SQL, LLM tool-calling/agentic loops, RAG, and observability tooling like MLflow, building evaluation frameworks and test harnesses for LLM-as-judge and monitoring. The role owns inference quality for Orbital, an agentic LLM platform answering operational questions for energy and heavy-industry clients.

Geomiq★0.0· London

You'll build AI agents and automations using n8n, GPT, Claude, Gemini, and other LLMs, plus APIs, webhooks, SQL, Python, and JavaScript. As the first dedicated AI builder at Geomiq, you'll create internal tools to automate workflows across Sales, Operations, Supply Chain, Finance, and Product for their digital manufacturing platform.

You will work with AWS (serverless, Bedrock), TypeScript/JavaScript, Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD, and API design. The Commerce & Technology division designs and builds cloud applications for global brands, specializing in agentic AI platforms and emerging Agentic Commerce standards.

Debenhams Group★3.5 (3k)· London

Work with GA4, Google Merchant Center, Excel/Sheets, and optionally Python, JavaScript, PHP or HTML to drive organic traffic for Karen Millen. Own the SEO channel—leading technical audits, content strategy, link-building, and pioneering AIO and GEO initiatives.

Google★4.3 (6.2k)· London

Build high-performance evaluation pipelines and observability frameworks for agentic AI systems using Python, GCP, and GenAI tools. You’ll architect multi-agent workflows, RAG systems, and multilingual NLP models for Google Cloud’s enterprise-grade platform. Focus on optimizing reasoning loops, tool selection, latency, and production-grade security for conversational user journeys.

Build and own the in-house automated testing platform at a leading global Hedge Fund, working across the full stack with React, JavaScript, and Python. Integrate with the toolchain for requirements management, source control, and transactions data, using GCP, Terraform, and CI/CD. Drive the platform toward agent-orchestrated, predictive testing, working autonomously within a small, efficient QA function.

RBC★3.9 (5.5k)· London

You will drive the BI team's transition from Power BI to custom Databricks Apps, using React/Vue/Angular, REST, GraphQL, MCP, and DevOps tools (Git, CI/CD, GitHub Actions/Azure DevOps). You will build user-facing data visualisations and interactive analytics. You will mentor engineers and set technical standards.