Data Scientist - Coach AI

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 are urgently seeking a Data Scientist for a Coach AI programme working for our banking client located in Bristol. 6-12 month contract, Immediate start

Start: ASAP

Location: Bristol - 2 days a week onsite

Duration: 6-12 months

Rate: £(Apply online only)pd Inside IR35

The role:

• Design, develop, and deploy end-to-end AI/ML solutions - with Production support experience (Production Deployment experience)
• Build scalable and robust 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 and implement Generative AI solutions using Large Language Models (LLMs)
• Build Agentic AI systems, including 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 experience in Natural Language Processing (NLP), Computer Vision & Voice AI
• Build and manage ML pipelines (training, validation, deployment, monitoring)
• Ensure model explainability, fairness, and governance compliance
• Implement AI guardrails including safety, bias detection, and hallucination controls
• Ensure adherence to Responsible AI principles (security, privacy, compliance)
• Identify risks/issues and come up with solution/mitigation plans
• Collaboration with internal and stakeholders to ensure delivery as per plan with quality
• Grooming the internal Team, as senior Lead, for technical competence
• Production Experience-To ensure code development & deployment in production

Core Technical Skills

• Strong experience in:
• Machine Learning & Deep Learning frameworks (TensorFlow, PyTorch, etc.)
• Generative AI & LLM ecosystems (OpenAI, Hugging Face, LangChain, etc.)
• Agentic AI/Multi-agent system design
• Expertise in:
• NLP, Computer Vision, and Conversational AI
• Model deployment (MLOps, APIs, cloud platforms)
• Data processing and feature engineering
• Expertise in source safing tools like Github/GitLab/Bitbuck