Lead a team of Data Scientists and ML Engineers building AI solutions for financial markets using LLMs, Generative AI, Deep Learning, Transformers, Agentic AI, Python, PyTorch, TensorFlow, Hugging Face, LangChain, Semantic Kernel, Azure AI Foundry, AWS AI Services, and MLOps/LLMOps practices.

EXL Service★3.7 (2k)· London

You will work with Python, FastAPI, LLM frameworks (prompt engineering, RAG, agentic systems), and cloud AI platforms (Azure OpenAI/AWS Bedrock/Claude) on Kubernetes. As a Sr. AI Architect & Client Partner at EXL, a data and AI services company, you will design and deliver production-grade Generative and Agentic AI systems for enterprise clients, converting ambiguous mandates into secure, scalable solutions while shaping deals and reusable IP.

Google★4.3 (6.2k)· London

Manage engineers building Google’s Learning Platforms within the Global Business Organization, which powers Google’s ecosystem of products and services for customers and partners. Work with back-end languages (Java, Python, Golang, C++) and front-end (JavaScript, TypeScript, HTML, CSS), plus ML model fine-tuning and evaluation.

This role develops generative AI applications using Java, Python, React or Angular, LangChain, LlamaIndex, Hugging Face, Docker, Kubernetes, and AWS, with tools like GitHub Copilot. You will build scalable, AI-powered solutions for Citi’s global finance operations.

You will work with Python, SQL, OpenAI, Azure OpenAI, LangChain, RAG architectures, vector databases (Pinecone, FAISS, Azure AI Search), Azure, AWS, Databricks, and CI/CD tools. As part of Finalto’s AI Innovation team, you will design and deliver AI-powered workflows—such as document processing, bank statement parsing, and news summarisation—that replace manual processes across the business.

AXIS Capital★5.0 (1)· London

You will work with Python, Azure AI services (Azure OpenAI, Azure AI Search), Git, LangChain, Semantic Kernel, and MLOps tools for model versioning, deployment, and monitoring. As deputy to the Head of Data Science & AI Delivery, you lead the day-to-day execution of AI delivery across strategic projects and use cases for AXIS Capital, a specialty insurance and reinsurance provider. You directly manage and contribute hands-on to technical design, code reviews, and solution delivery for a growing team of Data Scientists and AI Engineers.

Build agentic workflows in Python with LangGraph or LangChain, vector databases, and LLMs for a real-time AI Tutor and AI Creator. You will own production systems end to end, optimizing for cost, latency and reliability at scale, while mentoring a small team.

Capgemini★3.7 (11k)· London

Architect enterprise-scale generative AI solutions on AWS using Amazon Bedrock, RAG, agentic workflows, and cloud-native services. Define reusable patterns, implement observability, and ensure governance in regulated environments. Hands-on Python, Lambda, SageMaker, OpenSearch, and ECS/EKS.

bp★3.8 (5.2k)· London

You will work with Python, Java, Azure, LLMs, vector DBs, and RAG patterns, using tools like LangChain, Haystack, and Hugging Face. As part of bp's AI organization, you will design and deploy scalable, production-grade AI applications such as conversational bots and AI-powered search for the oil and energy sector.

You will work with Python, Java, Azure, LLMs, vector DBs, RAG, and frameworks like LangChain, Haystack, Hugging Face, and Crew AI. The AI organization builds and deploys scalable, production-grade AI-powered applications for business value within the oil and energy/HR technology sector.

Work with LLMs and vision models, fine-tuning, prompt engineering, and TypeScript. Develop and refine core models powering automated AML and KYC workflows for a YC S24-backed startup automating financial crime compliance.

bp★3.8 (5.2k)· London

Design, develop and maintain production-grade AI applications using Python, Java, microservices, AWS/Azure/GCP, CI/CD, LLMs, vector DBs, RAG, and tools like LangChain, Haystack, Hugging Face, Weaviate, and LlamaIndex. The team builds scalable AI-powered applications—including conversational bots, AI search, unstructured data processing, and generative BI—to solve high-priority business problems.

Citi★3.9 (21k)· London

Build and scale AI-powered financial systems using Java, Spring, React/Angular, Python, FastAPI, Docker, and GitHub Copilot within Citi’s global tech environment. You will design generative AI agents, LLM workflows, and RAG pipelines while working on enterprise microservices, mobile, or front-end development. This role is for an individual contributor on an agile team.

You'll develop Conveo's AI-powered consumer and B2B research platform using React, TypeScript, Node.js, PostgreSQL, and AWS/GCP infrastructure, with exposure to LLM APIs and prompt engineering. The role spans full-stack development—from API design to frontend implementation—plus direct customer interaction to translate research needs into technical solutions. You'll work autonomously on feature ownership within a small, high-performing engineering team at this Y Combinator-backed startup.

Work with Python, TypeScript, LLMs, RAG pipelines, agent architectures, MCP, eval frameworks, CI/CD, and cloud (AWS/GCP preferred). You will join a small pod to deliver end-to-end AI client engagements—building prototypes, MVPs, and integrating into enterprise environments.

Fitch Ratings★3.8 (136)· London

You'll build ML/AI solutions using Python, FastAPI, PyTorch/TensorFlow, LangChain, LangGraph, and React/TypeScript within cloud-based microservices architectures. The agile team delivers software products for Fitch's BMI business, which provides data-driven market insights and risk analysis to customers globally. You'll design full-stack enterprise applications, implement GenAI features with LLM integration, and establish development best practices across the product suite.

FDM Group★2.9 (270)· London

The role involves Python, Java, microservices, CI/CD, cloud (AWS/Azure/GCP), LLMs, vector DBs, RAG, AI agents, and frameworks like LangChain, Haystack, Hugging Face, Weaviate, LlamaIndex, Crew AI, AutoGen. The team builds scalable AI-powered applications (conversational bots, AI search, unstructured data processing, GenBI) for a client in the energy sector.

Build AI-powered features using Python, SQL, LLM frameworks like LangChain, cloud platforms (AWS, GCP), Docker, Kubernetes, APIs, and real-time systems. You'll work on conversational AI, agentic commerce, and personalisation for Hyperlayer's intelligent banking platform, assisting the Head of AI and mentoring junior engineers.

Deloitte★3.9 (14k)· London

You will work with Python, JavaScript, Kafka, Azure, Kubernetes, Terraform, Helm, LangChain, PySpark, Databricks, and ADLS. You will design, develop, and deploy production-grade GenAI and machine learning systems for the GenAI team within Deloitte’s Data & AI organisation.

You will work with Python, Kubernetes, LangChain, LangGraph, DSPy, LlamaIndex, OpenAI, and Anthropic to build and operate scalable services, APIs, and cloud-native infrastructure. You will design and deploy an enterprise AI platform for a leading investment firm, enabling secure consumption of Generative AI and autonomous systems across the business.

Spectrum, a JetBrains incubator project, builds an AI-powered knowledge platform that ingests code, docs, and issues to create a unified ontology for semantic search and reasoning. You'll design and own the ML/LLM stack—including prompt engineering, agentic frameworks (LangChain, LlamaIndex), RAG systems, and vector databases—while establishing MLOps practices and growing the ML team. The role requires 5+ years ML/AI experience with 2+ years in LLMs, strong Python skills, and hands-on expertise deploying production LLM applications.

You will use Python, PyTorch, TensorFlow, Hugging Face, and orchestration frameworks like LangChain to build and deploy ML/AI models. You will also work with Generative AI, Agentic AI, LLMs, RAG, and vector databases, deploying solutions on Azure, AWS, or GCP. You will prototype and productionize AI innovations for Global Payments, a major payments company.

Accenture★3.9 (29k)· London

You will work with Python, LangChain, LangGraph, AutoGen, FastAPI, REST APIs, vector databases, Git, CI/CD, and cloud platforms (Azure, GCP, or AWS) to build, deploy, and iterate on machine learning and generative AI solutions for clients across industries.

You'll work with MCP, Python, TypeScript/Node, React, SQL, and UI protocols (A2UI, AG-UI, MCP-UI) to build agent loops, orchestration, and generative UI. The role owns AI capabilities end-to-end for commercetools' autonomous commerce platform, taking capabilities from prompt to production.

Worldpay★3.0 (53)· London

You will work with Python, PyTorch, TensorFlow, Hugging Face, LangChain, and cloud platforms (Azure, AWS, GCP) to build and deploy ML/AI models. The AI Innovation & Technology team explores emerging technologies, prototypes new capabilities, and transforms innovations into production-ready solutions for Worldpay, a global payments company.