Coach AI Lead: LLMs & Multi-Agent Systems

Spencer Rose Limited; West of England; Hybrid; GBP 83,000 - 120,000; Full time

Job summary

Spencer Rose Limited is urgently seeking a Data Scientist for a Coach AI programme for a banking client in Bristol. The role is a 6–12 month contract with an ASAP start and on-site Bristol work at least 2 days per week.

The successful candidate will design, develop and deploy end-to-end AI/ML solutions, including LLM-powered systems, multi-agent architectures, and conversational AI, with production deployment and governance experience.

Qualifications

• Design, develop and deploy end-to-end AI/ML solutions with production deployment experience.

Responsibilities

• Design, develop and deploy end-to-end AI/ML solutions with production deployment experience.
• Build scalable AI architecture including LLM-powered systems and multi-agent frameworks.
• Translate business requirements into actionable AI models and system designs.
• Ensure performance, reliability, scalability, and cost optimization of AI solutions.
• Develop Generative AI solutions using Large Language Models (LLMs).
• Build Agentic AI systems with multi-agent orchestration and autonomous workflows.
• Design and implement LLM-based assistants, copilots, and conversational AI systems.
• Integrate AI solutions with enterprise applications and APIs.
• Hands-on NLP, CV and Voice AI.
• Build and manage ML pipelines (training, validation, deployment, monitoring).
• Ensure model explainability, fairness and governance.

Skills

Machine Learning

Deep Learning

NLP

Computer Vision

Generative AI

LLMs

MLOps

APIs

GitHub/GitLab/Bitbucket

Tools

TensorFlow

PyTorch

LangChain

OpenAI

Hugging Face

Job description

Spencer Rose Limited is urgently seeking a Data Scientist for a Coach AI programme for a banking client in Bristol. The role is a 6–12 month contract with an ASAP start and on-site Bristol work at least 2 days per week.

The successful candidate will design, develop and deploy end-to-end AI/ML solutions, including LLM-powered systems, multi-agent architectures, and conversational AI, with production deployment and governance experience.