At a Glance
- Tasks: Lead the design and delivery of impactful AI systems in high-security environments.
- Company: Leading consultancy focused on innovative AI solutions for public sector challenges.
- Benefits: Real ownership of projects, senior exposure, and a meaningful career trajectory.
- Other info: No minimum education required; practical experience and passion are what count.
- Why this job: Make a real impact by architecting AI systems that matter in security and justice.
- Qualifications: Expertise in Python, AI/ML delivery, and experience leading technical teams.
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 - Risk Management in England employer: Experis UK
Join a leading consultancy that empowers you to take ownership of your work as an Associate Director in Risk Management, where you'll architect and deliver impactful AI solutions for critical public sector programmes. 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 - Risk Management in England
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research the company and the role thoroughly. We want you to be able to showcase your skills and experience confidently, especially when discussing complex AI concepts.
✨Tip Number 3
Showcase your projects! If you've built any AI systems or worked on relevant projects, make sure to highlight them during your conversations. We love seeing real-world impact, so let your work speak for itself.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals ready to take ownership and make a difference.
We think you need these skills to ace Associate Director - Risk Management 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 ticking boxes but genuinely excited about building impactful AI systems.
Tailor Your Experience:Make sure to highlight your relevant experience in AI delivery and technical architecture. We’re looking for real-world impact, so share specific examples of projects where you've made a difference!
Keep It Clear and Concise:While we love detail, clarity is key! Use straightforward language to explain your skills and experiences. Avoid jargon unless it’s absolutely necessary — we want to understand your journey without getting lost in the tech talk.
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. Brush up on your Python, LangChain, and MLOps knowledge. Be ready to discuss specific projects where you've deployed AI systems, as this will show your hands-on experience.
✨Understand the Sector
Even if you don’t have direct experience in Security & Justice, do some research on the challenges and trends in this area. Being able to speak intelligently about how AI can impact policing or national security will impress your interviewers and show your commitment to the role.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to AI deployment in high-security environments. Think through potential risks and how you would manage them. This will demonstrate your ability to think critically and proactively about technical challenges.
✨Showcase Your Leadership Skills
Since this role involves leading cross-functional teams, be prepared to share examples of how you've successfully managed teams and communicated complex ideas to non-technical stakeholders. Highlight any mentoring experiences to show your capability in building a culture of engineering excellence.
