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.

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.

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.

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'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.

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.

BBVA★4.1 (7.8k)· London

You will work with C++ and Python to design, develop, and enhance pricing and risk management models for interest rate, credit, and inflation derivatives. As the primary quantitative partner for London trading and structuring desks, you will define modelling frameworks and lead model governance. You will also mentor junior quants.

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.

Quantspark★0.0· London

Lead a small team of data and AI engineers using Python (Flask/Django), Pandas, and React.js on containerised, cloud-based systems (AWS/Azure). QuantSpark is a data and AI consultancy of around 50 people building working systems for clients across financial services, retail, manufacturing, and more.

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.

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 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.