BlackRock★3.8 (632)· London

Develop software with .NET, .NET Core, ASP.NET Core, C#, Entity Framework, SQL, REST APIs, Postman/cURL, and Git. You will build a new product from the ground up to drive digital transformations in the private equity industry.

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.

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.

European Bank for Reconstruction and Development★3.7 (37)· London

The role works with SaaS, low/no-code platforms, Microsoft Power Platform, Adobe Experience Manager, Azure services, Microsoft Entra, APIs, middleware, and event-driven architectures. The architect designs end-to-end solutions for systems across Information Management, Knowledge Management, Risk, and Communications functions at the European Bank for Reconstruction and Development. No team size is stated.

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.

You will create mathematical models for casino games, using Monte Carlo simulation tools, Excel, and programming, with OOP and Java knowledge beneficial. You own the end-to-end math design for slot titles, working with Product Owners, Developers, and the Commercial Team to deliver mobile-optimised online casino games. You may later manage a small team of junior mathematicians.

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.

BNP Paribas★3.8 (5.1k)· London

The intern will use Machine Learning, Deep Learning, Natural Language Understanding, Speech to Text, and languages including C++, Python, Java, and R. The Data & AI Lab builds models for trading and sales, develops NLU interfaces, and conducts research on market participant classification, sentiment analysis, and market making.

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.

Capgemini★3.7 (11k)· London

Lead Guidewire ClaimCenter, PolicyCenter, and BillingCenter implementation using Gosu, PCF, Rules, Data Model Extensions, APIs, REST/SOAP, Java Spring Boot, AWS, Azure, CICD, Git, and Jenkins. The team delivers solutions for Property & Casualty and London Market insurers.

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.

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.

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.