At a Glance
- Tasks: Design and deliver impactful AI systems for high-profile public sector projects.
- Company: Join a leading firm focused on real-world AI solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: No formal education required; showcase your skills through experience.
- Why this job: Make a difference with AI that truly matters in the public sector.
- Qualifications: Experience in production AI/ML, strong Python skills, and leadership abilities.
The predicted salary is between 70000 - 90000 β¬ 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 β 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 β 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 β 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 β 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 β 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 employer: Experis UK
As a Lead AI Architect in the public sector, you will be part of a forward-thinking organisation that prioritises impactful AI solutions for critical UK programmes. Our collaborative work culture fosters innovation and professional growth, offering opportunities to lead cross-functional teams while working on high-stakes projects that truly matter. With a commitment to responsible AI and a focus on real-world applications, we provide a unique environment where your expertise can make a significant difference.
StudySmarter Expert Adviceπ€«
We think this is how you could land Artificial Intelligence Specialist
β¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that dream role.
β¨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that have made a real impact. This is your chance to demonstrate what you can do beyond just a CV.
β¨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 they relate to the role. Remember, communication is key!
β¨Tip Number 4
Don't forget to apply through our website! Itβs the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make a difference in AI.
We think you need these skills to ace Artificial Intelligence Specialist
Some tips for your application π«‘
Tailor Your Application:Make sure to customise your application to highlight your experience with production-grade AI systems. We want to see how your skills align with the role, so donβt hold back on showcasing your relevant projects!
Showcase Your Technical Skills:Weβre looking for expertise in Python, PyTorch, and TensorFlow, among others. Be specific about your hands-on experience and any impactful projects you've worked on that demonstrate your capabilities in these areas.
Highlight Leadership Experience:Since this role involves leading cross-functional teams, share examples of your leadership skills. We want to know how youβve successfully managed stakeholders and translated complex needs into actionable plans.
Apply Through Our Website:Donβt forget to submit your application through our website! Itβs the best way for us to receive your details and get the ball rolling on your journey with StudySmarter.
How to prepare for a job interview at Experis UK
β¨Know Your AI Inside Out
Make sure youβre well-versed in the latest AI technologies and frameworks mentioned in the job description, like PyTorch and TensorFlow. Be ready to discuss your past projects and how they relate to building production-grade AI systems.
β¨Showcase Your Leadership Skills
Since this role involves leading cross-functional teams, prepare examples of how you've successfully managed projects and communicated with both technical and non-technical stakeholders. Highlight your ability to translate complex technical needs into actionable plans.
β¨Understand the Public Sector Landscape
Familiarise yourself with the specific challenges and regulations in the public sector. Be prepared to discuss how your experience aligns with these complexities and how you can contribute to impactful projects.
β¨Prepare for Technical Questions
Expect in-depth technical questions about MLOps, model governance, and cloud deployment. Brush up on your knowledge of CI/CD processes for ML and be ready to explain your approach to ensuring security and observability in AI systems.