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.

JPMorgan★3.9 (20k)· London

Lead a team using C and C++, cloud native technologies, and enterprise AI-assisted development tools within the SDLC toolchain. This role is on the Commercial & Investment Bank eTrading team, building and enhancing market-leading technology products for electronic trading.

JPMorgan★3.9 (20k)· London

You'll develop production code and provide technical guidance within the Commercial & Investment Bank's eTrading team, using C and C++. The agile team builds and delivers market-leading technology products, and you'll drive adoption of AI-assisted engineering tools and practices.

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.

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.

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.

NiCE★3.4 (30)· London

Develop machine learning and AI solutions using Python, SQL, NLU, and NLP. Build, evaluate, and improve models and pipelines for customer operations, working with text and structured data. Implement and evaluate new techniques across the full ML lifecycle.

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.

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 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.

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.

FDM Group★2.9 (270)· London

Senior Engineering Manager leading ~20 engineers across 3-4 feature teams, working with Java, Spring Boot, React/React Native, AWS, DevOps, CI/CD, SonarQube, Veracode, Jira, and Confluence. The role delivers critical banking and lending technology programmes, including platform modernisation and large-scale migration.

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.

RBC★3.9 (5.5k)· London

You will design, build, and maintain REST and GraphQL APIs and MCP servers using Python (FastAPI, Flask) serving ML models from Databricks for internal apps, CRM platforms, AI agents, and LLM applications. You will build middleware, prototype applications, and mentor junior colleagues in a team reporting to the Director, Data Science.

You will work with Azure, CI/CD pipelines, and test automation to build component-oriented front ends. As a Lead Engineer on the Digital Product Team at Canada Life UK (a financial services firm), you will set UI/UX, accessibility, and front-end performance standards and coach engineers across the product lifecycle.

You will build a fully bespoke blockchain from scratch using Rust, C++, CUDA, Python, Shell for the protocol layer; Solidity, Foundry, Hardhat for smart contracts; and TypeScript with React, Next.js, Node.js for frontends. This greenfield project powers Arena Entertainment’s digital entertainment platforms, spanning gaming, DeFi and Web3.

Boston Consulting Group★4.2 (537)· London

You will work hands-on with Python (FastAPI), LLMs (OpenAI, Gemini, Anthropic), cloud-native development on AWS, and CI/CD pipelines. As a player-coach in an AI/ML squad at Boston Consulting Group, you will build and deliver GenAI products leveraging RAG, agentic workflows, and MCP servers. You will lead and mentor a team of engineers, acting as both a contributor and architect.

Park Place Technologies★3.0 (82)· London

Work with Java, Linux, Visual Studio, JavaScript, Groovy script, Tomcat and databases to develop and maintain Network Analytics software systems and internal tools, including automated testing and unit tests.