At a Glance
- Tasks: Design and deliver impactful AI systems for high-profile public sector programmes.
- Company: Leading tech firm focused on meaningful AI solutions in the UK.
- 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: MindMatch
As a Lead AI Architect in the public sector, you will be part of a mission-driven team dedicated to creating impactful AI solutions that serve the UK community. Our company fosters a collaborative work culture that values innovation and professional growth, offering opportunities to lead cutting-edge projects while ensuring a healthy work-life balance. With access to advanced technologies and a commitment to responsible AI practices, we empower our employees to make a real difference in society.
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 had real-world impact. This is your chance to demonstrate what you've built and how it matters, so make it shine!
✨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 tackled challenges. Remember, communication is key, especially when talking to non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it gives you a better chance of getting noticed by our hiring team.
We think you need these skills to ace Artificial Intelligence Specialist in England
Some tips for your application 🫡
Showcase Your Experience:When writing your application, make sure to highlight your real-world experience with AI and ML. We want to see what you've actually delivered, so share specific projects or contributions that demonstrate your skills and impact.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to match the job description. Use the same language and keywords we’ve used to show you understand what we’re looking for in a Lead AI Architect.
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Make it easy for us to see your qualifications and how they align with our needs.
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 the role. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at MindMatch
✨Know Your AI Inside Out
Make sure you’re well-versed in the latest AI technologies and frameworks mentioned in the job description, like PyTorch and TensorFlow. Be ready to discuss your hands-on experience with these tools and how you've applied them in real-world projects.
✨Showcase Your Leadership Skills
Since this role involves leading cross-functional teams, prepare examples that highlight your leadership experience. Think about times when you translated complex technical needs into actionable plans for your team or stakeholders.
✨Understand the Public Sector Landscape
Familiarise yourself with the specific challenges and regulations of the public sector. Be prepared to discuss how your previous work aligns with these complexities and how you can navigate them effectively.
✨Communicate Clearly and Confidently
Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will demonstrate your ability to bridge the gap between engineering and management, which is crucial for this role.
