At a Glance
- Tasks: Lead the design and delivery of impactful AI systems in high-security environments.
- Company: Join a leading consultancy focused on security and justice projects.
- Benefits: Real ownership of projects, senior exposure, and a meaningful career trajectory.
- Other info: No minimum education requirement; practical experience is valued.
- Why this job: Make a real impact with your AI skills in complex public sector programmes.
- Qualifications: Expertise in Python, LLMs, and production AI delivery required.
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 in England employer: Experis UK
Join a leading consultancy that empowers you to take ownership of your work as a Senior AI Delivery Lead, where you'll architect and deliver impactful AI systems for critical public sector programmes in the UK. With a strong focus on employee growth, a collaborative work culture, and the opportunity to engage directly with client leadership, this role offers a unique chance to make a real difference in high-stakes environments while advancing your career in a rapidly scaling AI landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Director 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.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to AI delivery. We want you to be ready to discuss your technical expertise and how you’ve tackled challenges in the past.
✨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 in England
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see that you’re not just knowledgeable but genuinely excited about building AI systems that make a difference in sectors like security and justice.
Tailor Your Experience:Make sure to highlight your relevant experience in AI delivery and technical leadership. We’re looking for real-world impact, so share specific examples of projects where you've architected or delivered production-grade AI systems.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your skills and experiences, especially when discussing complex AI concepts. Remember, we want to understand your journey without getting lost in jargon!
Apply Through Our Website:Don’t forget 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. We can’t wait to hear from you!
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 AI systems and how you've tackled real-world challenges.
✨Showcase Your Leadership Skills
Prepare examples of how you've led cross-functional teams and communicated complex AI concepts to non-technical stakeholders. Highlight your mentoring experiences and how you've fostered a culture of engineering excellence.
✨Understand the Sector
Even if you don’t have direct experience in Security & Justice, show your willingness to learn about the sector. Research current trends and challenges in public sector AI applications to demonstrate your interest and commitment.
✨Be Ready for Scenario Questions
Expect questions that assess your problem-solving skills in high-stakes environments. Think about how you would manage technical risks or decide when AI is the right solution versus simpler alternatives. Prepare to articulate your thought process clearly.
