Introduction

Our client is a large-scale consultancy looking for Senior AI Delivery Leads to architect and operationalise mission-critical AI systems for government and public sector organisations. This is a hands-on role that goes well beyond proof-of-concepts; you'll be designing and deploying production-grade GenAI and ML solutions into complex, high-stakes environments. If you have deep AI engineering experience and a track record of leading teams to deliver at scale, this one's worth a look.

Apply today!

Working Patterns and location - Hybrid, 3 days per week on site with UK wide travel as required

Key responsibilities

• Architect scalable, secure, production-ready AI systems integrating LLMs and ML into enterprise workflows.

• Oversee the full technical lifecycle from model architecture selection through to CI/CD and MLOps pipelines.

• Deploy and optimise models using AWS Bedrock, Azure AI Foundry, or self-hosted GPU/CPU infrastructure.

• Design and implement evaluation, monitoring, and observability frameworks to track AI performance in real-time.

• Convert client requirements into detailed technical roadmaps and actionable engineering tasks.

• Proactively identify and manage technical risks including security vulnerabilities and deployment bottlenecks.

• Lead and mentor cross-functional teams of data scientists and engineers across delivery.

• Communicate complex AI concepts clearly to non-technical senior stakeholders and build confidence in AI-driven transformation.

Skills & experience

• Extensive experience designing, developing, and deploying enterprise-grade AI/ML solutions end-to-end.

• Expert-level Python skills and proficiency in PyTorch, TensorFlow, LangChain, LangGraph or similar frameworks.

• Deep understanding of LLMs, RAG pipelines, prompt engineering, vector databases, and generative architectures.

• Strong MLOps/LLMOps knowledge including CI/CD for ML, model monitoring, and governance frameworks.

• Hands-on experience implementing AI evaluation frameworks, security best practices, and ethical guardrails.

• Broad cloud platform experience across AWS, Azure, and GCP with Generative AI services.

• Proven ability to lead technical teams and manage stakeholder relationships at a senior level.

• Ability to judge when AI is the right solution and when a simpler engineering approach is more appropriate.

The client would also like to see some of the below, but this is not essential:

• PhD or equivalent in Computer Science, Machine Learning, or Artificial Intelligence.

• Domain expertise applying AI in complex sectors such as healthcare, government, or security and justice.

• Experience with self-hosted model inference tools such as vLLM, SGLang, or Ollama.

• Proficiency with large-scale data processing technologies including Spark, Hadoop, or SQL.

• Background in traditional ML/AI alongside Generative AI experience.

• Open source contributions or personal projects demonstrating AI engineering excellence.

Additional benefits

• 26 days Annual Leave plus Bank Holidays.

• Pension contribution matched up to 8%.

• Private Medical Insurance.

• Overseas Working Policy - If you have the right to work in another country, can request up to 20 days each year to work remotely.

• Yearly On Target Bonus.

• Season Ticket Loans.

• Paid professional subscription.

• Life Assurance.

Our client is committed to providing a diverse and inclusive workplace and welcomes applications from all backgrounds.

Part-time opportunities/flexible working is available to suit individual needs.

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You will be required to hold a minimum of SC Clearance. If you do not hold an active SC Clearance, please familiarise yourself with the vetting process before applying.

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