BNY★3.5 (5.5k)· London

Lead AI solution development on BNY’s ELIZA platform, working with LLMs/NLP, agentic systems, and retrieval architectures. You will set technical direction across pods, mentor juniors, and contribute to the AI Hub’s standards and reference architectures.

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.

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.

Build and run an AI platform connecting workloads to LLM providers (Anthropic, AWS Bedrock, OpenAI) using Python/Go, API gateways (Kong, Envoy, Apigee), RBAC/OIDC, and MCP patterns. The team owns the gateway, orchestration, and governance layers. As Principal, you set technical direction across CreateFuture, an AI-native consulting partner.

Work with Python or Go, API gateways (Kong, Envoy, Apigee), and multiple LLM providers (Anthropic, AWS Bedrock, OpenAI). Build and run the infrastructure connecting engineers and client workloads to those providers, including the API gateway, orchestration, lifecycle tooling, and governance controls.

Build and run the API gateway, routing layer, and orchestration tooling connecting engineers to multiple LLM providers (Anthropic, AWS Bedrock, OpenAI) using Python or Go, Kong, and RBAC/OIDC. You will own delivery of key platform components—from the inference control plane to the capability marketplace and governance controls.

IQVIA★3.7 (2.7k)· London

This Senior AI Platform Engineer role at IQVIA uses technologies like AWS, CUDA, PyTorch, Slurm, and Kubernetes. The position defines and delivers the infrastructure strategy for the company’s Large Language Model programmes, ensuring research is transformed into production-ready AI systems for healthcare.

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.

Platform Product Lead for ApprovalMax, an accounts payable automation SaaS. You will own platform-wide capabilities across web, mobile, and the Public API, including AI-powered search, navigation, audit trails, and account identity, working with the AI Engineering team and using Amplitude. Core technologies include LLM/agentic systems and MCP connectivity.

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.

International SOS★3.4 (566)· London

Python, scikit-learn, TensorFlow, PyTorch, XGBoost, LangChain/LangGraph, RAG, AWS Bedrock/SageMaker, Azure/GCP, vector stores, SQL, Kubernetes, and Git. You will build production-grade generative and agentic AI solutions—RAG pipelines, multi-step agents, and predictive models—for the company’s product platform.

Zaizi★4.0 (5)· London

Quantize and deploy open-source SLMs (Gemma 3, Llama 3) and vision-language models using LiteRT/TFLite, ONNX Runtime, and ExecuTorch. Design knowledge graph pipelines and on-device graph databases in Python, Rust, or C++, and build MLOps pipelines for air-gapped environments. The team delivers deterministic, explainable, human-in-the-loop AI decision-support tools for UK Defence intelligence users.

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'll use Python and platforms like Braintrust, LangSmith, Arize, or Weights & Biases to build eval and observability pipelines for AI features, including scoring, hallucination detection, and CI/CD quality gates. You join the AI Engineering team at an AI consulting firm that builds digital products for clients like PayPal and adidas.

Segen★3.6 (14)· London

As Senior Platform Engineer, you'll work with Microsoft Azure (Hub and Spoke networking), Azure DevOps YAML pipelines, and IaC via Bicep or Terraform, alongside TDD, CI/CD, and DevSecOps practices. You'll build secure, scalable infrastructure for Segen, the UK's largest solar PV, energy storage, and EV-charging distributor, while mentoring junior engineers.

Google★4.3 (6.2k)· London

You'll use Python, Go, Java, or C++; work with databases (SQL/NoSQL), web APIs, cloud infrastructure, LLM APIs, vector databases, RAG, Docker, and Linux. As a Customer Engineer on Google Cloud's Junior Talent Programme, you'll build rapid prototypes and demos during pre-sales to support technical wins and customer adoption.

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.

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.