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- Tasks: Design and deliver impactful AI systems for high-profile public sector projects.
- Company: Join a leading tech firm focused on meaningful AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: No formal education required; showcase your skills through experience and projects.
- Why this job: Make a real difference with AI that matters in the public sector.
- Qualifications: Experience in production AI/ML, strong Python skills, and leadership abilities.
The predicted salary is between 70000 - 90000 £ per year.
This role requires candidates to hold or be eligible to obtain UK Security Clearance (SC). Due to the nature of the projects, you will need to be British. These projects are UK eyes only.
Are you building AI that actually matters? This isn't another POC role. We're looking for a Lead AI Architect to design and deliver production-grade AI systems for some of the UK's most high-profile public sector programmes — where the stakes are real, and the impact is measurable.
What you'll do:
- Architect end-to-end AI systems (GenAI and traditional ML) built for production, not the lab.
- Own the full technical lifecycle: model selection, deployment, MLOps, evaluation, and monitoring.
- Deploy across cloud platforms (AWS Bedrock, Azure AI Foundry, GCP) and self-hosted GPU infrastructure.
- Implement observability, security guardrails, and responsible AI frameworks from day one.
- Lead cross-functional engineering teams and translate client needs into clear technical roadmaps.
- Communicate with both engineers and senior stakeholders — and know when AI isn't the right answer.
What we're looking for:
- Proven track record delivering production AI/ML and GenAI at enterprise scale — real impact, not just prototypes.
- Expert Python with hands-on experience in PyTorch, TensorFlow, LangChain, LangGraph, RAG pipelines, and LLMs.
- Solid MLOps/LLMOps fundamentals: CI/CD for ML, model governance, and evaluation frameworks.
- Broad cloud experience across AWS, Azure, and GCP — cloud-agnostic candidates preferred.
- Background in a complex, regulated domain (public sector, defence, healthcare, or finance all relevant).
- Strong leadership and stakeholder management skills.
- No minimum education requirement — we care about what you've shipped, not what's on your CV. Demonstrate your expertise through experience, open source contributions, or a strong project portfolio.
Sound like you? Apply below or get in touch directly.
Artificial Intelligence Specialist in England employer: Experis UK
Contact Detail:
Experis UK Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Specialist in England
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that demonstrate real-world impact. This is your chance to shine and prove you’re not just about theory but can deliver production-grade systems.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your past projects in detail and how you’ve tackled challenges. Remember, communication is key, especially when talking to non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Artificial Intelligence Specialist in England
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your application to highlight how your experience aligns with the role of Lead AI Architect. We want to see how you've tackled real-world AI challenges, so don’t hold back on those details!
Showcase Your Impact: When detailing your past projects, focus on the impact you made rather than just listing tasks. We’re looking for evidence of your ability to deliver production-grade AI systems that have made a difference in your previous roles.
Be Clear and Concise: Keep your writing clear and to the point. Use straightforward language to explain complex concepts, especially when discussing technical aspects. Remember, we want to understand your thought process without getting lost in jargon!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details 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 AI Inside Out
Make sure you can talk confidently about your experience with AI systems, especially in production environments. Be ready to discuss specific projects where you've implemented GenAI or traditional ML, and how they made a real impact.
✨Showcase Your Technical Skills
Brush up on your Python skills and be prepared to discuss your hands-on experience with frameworks like PyTorch and TensorFlow. Have examples ready that demonstrate your understanding of MLOps and CI/CD processes, as these will be crucial for the role.
✨Understand the Public Sector Landscape
Familiarise yourself with the complexities of working in regulated domains such as public sector or healthcare. Be ready to explain how your previous work aligns with these environments and how you can navigate their unique challenges.
✨Communicate Effectively
Practice explaining technical concepts in simple terms, as you'll need to communicate with both engineers and senior stakeholders. Think of examples where you've successfully translated client needs into technical roadmaps, showcasing your leadership and stakeholder management skills.