You'll work with Python (pandas, OOP), SQL (PostgreSQL, Snowflake), CI/CD pipelines, Git, and GitHub. You'll develop and support in-house fund management tools that assist Fund Managers in managing funds for Legal & General's asset management division.

Deliveroo★3.3 (1.5k)· London

Build production infrastructure for Generative AI at Deliveroo and DoorDash, leading design and architecture for real-time GPU serving, high-throughput batch inference, and fine-tuning (SFT/DPO/LoRA) of open-weight LLMs and VLMs. Own the LLM Gateway, Agent Gateway, evals infrastructure, guardrails, and cost attribution, while mentoring engineers and setting technical direction for a small, high-leverage centralized GenAI platform team.

JPMorgan★3.9 (20k)· London

You will work with Java, TypeScript, React, Scala, SQL and No-SQL databases on cloud-native platforms. As part of JPMorganChase’s Data Platforms team within the Chief Data & Analytics Office, you will engineer solutions in metadata, meta-modelling, distributed systems, domain-specific languages and interpreter design. You will provide technical guidance to the team.

You will deploy ML models and engineering surrogates (e.g., deep learning on CAE/CFD/FEA data) to production environments, using Python, PyTorch, Pandas, fastAPI, Scipy, and Kubeflow. PhysicsX builds an AI-driven simulation software stack for engineering and manufacturing.

Lead Cloud Engineers at Made Tech use AWS, Azure, GCP, Terraform, CloudFormation, Docker, Kubernetes, CI/CD, and languages like Python, Bash, and JavaScript. They help public sector organisations design, implement, and maintain secure, scalable cloud infrastructure. The role includes line managing and mentoring junior colleagues.

JPMorgan★3.9 (20k)· London

Lead Scala/Java Software Engineer on the Data Platforms team within JPMorgan Chase’s Chief Data & Analytics Office, leading an agile team to build scalable, secure technology products. Works with Scala, Java, Cats Effect, SQL/No-SQL databases, and AI-assisted development tools, focusing on metadata, meta-modelling, distributed systems, and domain-specific language design.

JPMorgan★3.9 (20k)· London

Senior Lead Software Engineer role on JPMorgan's Data Platforms team in the Chief Data & Analytics Office, working with Scala, Java, Cats Effect, and cloud-native technologies. The agile team builds secure, scalable technology products spanning metadata, meta-modelling, and distributed systems, with a focus on AI-assisted engineering and domain-specific languages.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.