At a Glance
- Tasks: Lead the design and delivery of impactful AI systems in high-security environments.
- Company: Leading consultancy focused on complex public sector programmes.
- Benefits: Real ownership of projects, senior exposure, and a meaningful career trajectory.
- Other info: No minimum education required; passion and experience matter most.
- Why this job: Make a real impact with your AI skills in critical sectors like defence and justice.
- Qualifications: Expertise in Python, LLMs, and production AI delivery; leadership experience is a plus.
The predicted salary is between 80000 - 100000 € per year.
Are you an AI engineer who's tired of being the person who "advises" on AI — and actually wants to build it? We're hiring a Senior AI Delivery Lead at Associate Director level for a high-impact practice working across some of the UK's most complex public sector programmes. Think policing, defence, justice, and national security — environments where the bar for reliability, security, and responsible AI is about as high as it gets.
This is a hands-on technical leadership role. You'll be architecting and shipping production-grade AI systems, not producing slide decks about them.
WHAT YOU'LL BE DOING- Technical Architecture
- Designing end-to-end LLM and RAG systems integrated into complex enterprise workflows
- Deploying and optimising models on AWS Bedrock, Azure AI Foundry, and self-hosted GPU infrastructure (vLLM, SGLang, Ollama)
- Building robust MLOps/LLMOps pipelines — CI/CD, model monitoring, evaluation frameworks, observability
- Making the call on when AI is the right answer — and when a simpler solution is better
- Delivery
- Translating client requirements into technical roadmaps and shipping production-ready systems
- Moving AI from prototype to hardened, live service in high-security environments
- Proactively managing technical risk — security vulnerabilities, deployment bottlenecks, delivery timelines
- Leadership
- Leading cross-functional teams of data scientists and engineers
- Communicating complex AI concepts to senior non-technical stakeholders
- Mentoring and upskilling engineers, building a culture of engineering excellence
- Expert Python — plus hands-on experience with LangChain, LangGraph, PyTorch, TensorFlow or equivalent
- Deep knowledge of LLMs, RAG, prompt engineering, fine-tuning, vector databases, and generative architectures
- Production AI/ML delivery experience — real-world impact matters more than credentials
- Cloud-agnostic experience across AWS, Azure, and GCP
- Strong MLOps/LLMOps background — CI/CD for ML, governance, model monitoring
- Experience leading technical teams and managing senior stakeholder relationships
- Track record in a complex, regulated industry — healthcare, government, finance, defence, or similar
No minimum education requirement. A PhD, strong industry experience, or impressive open source contributions all count equally. What matters is shipped, production-grade AI.
Domain experience in Security & Justice is a bonus — not a prerequisite. A willingness to upskill in the sector is what counts.
Security Clearance may be required.
WHY THIS ROLE?- Real ownership — architect and deliver, not just advise
- High-stakes, meaningful work — the kind where your systems actually matter
- Career trajectory — joining at a moment of significant AI scale-up
- Senior exposure — direct engagement with client leadership from day one
Interested or know someone who might be? Drop me a message or apply directly — all conversations are confidential.
(Associate) Director Quality Management in England employer: Experis UK
Join a leading consultancy that empowers you to take ownership of your work, architecting and delivering impactful AI systems in high-stakes environments such as policing and national security. With a strong focus on employee growth, you'll have the opportunity to mentor teams, engage directly with client leadership, and contribute to meaningful projects that truly matter. Our collaborative work culture fosters innovation and excellence, making this an exceptional place for those looking to advance their careers in AI.
StudySmarter Expert Advice🤫
We think this is how you could land (Associate) Director Quality Management in England
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate your hands-on experience. This is your chance to shine and prove you can deliver real-world impact.
✨Tip Number 3
Prepare for interviews by practising common questions related to AI delivery and technical architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates like you!
We think you need these skills to ace (Associate) Director Quality Management in England
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the role. Highlight your experience with AI systems, especially in high-security environments, and show us how your skills align with what we're looking for.
Showcase Your Technical Skills:We want to see your hands-on experience! Include specific projects where you've built or deployed AI systems, particularly using Python and tools like LangChain or TensorFlow. Let us know how you tackled challenges in production settings.
Communicate Clearly:Remember, you'll be leading teams and communicating with non-technical stakeholders. Use clear, straightforward language in your application to demonstrate your ability to explain complex concepts simply.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in AI delivery!
How to prepare for a job interview at Experis UK
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technical skills listed in the job description, especially Python and frameworks like LangChain and PyTorch. Be ready to discuss your hands-on experience with these technologies and how you've applied them in real-world scenarios.
✨Showcase Your Leadership Skills
Since this role involves leading cross-functional teams, prepare examples of how you've successfully managed teams in the past. Highlight your ability to communicate complex AI concepts to non-technical stakeholders and how you’ve mentored others in your field.
✨Understand the Industry Context
Familiarise yourself with the public sector, particularly in areas like security and justice. Even if you don’t have direct experience, showing a willingness to learn and adapt will impress interviewers. Research current trends and challenges in these sectors to demonstrate your interest.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in high-stakes environments. Think about past projects where you had to manage technical risks or make critical decisions about AI solutions. Be ready to explain your thought process and the outcomes of your decisions.
