At a Glance
- Tasks: Design and deliver impactful AI systems for high-profile public sector projects.
- Company: Join a leading tech team 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 in the public sector and lead innovative projects.
- Qualifications: Proven AI/ML experience, 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: LinkedIn
Join a forward-thinking public sector organisation that prioritises meaningful impact through cutting-edge AI technology. With a strong commitment to employee development, we offer a collaborative work culture where innovation thrives, and your contributions directly influence high-stakes projects. Located in the UK, we provide unique opportunities for professional growth while ensuring a supportive environment that values security and responsibility in AI deployment.
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 results.
✨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, they want to see how you think and communicate, not just what you know.
✨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 CV and cover letter to highlight your experience with production-grade AI systems. We want to see how your skills align with the role, so don’t hold back on showcasing your relevant projects!
Showcase Your Impact:When detailing your past work, focus on the real impact you've made rather than just listing tasks. We’re looking for evidence of your contributions to AI/ML projects that have delivered measurable results in complex environments.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to communicate your technical expertise and leadership experience. We appreciate a well-structured application that’s easy to read!
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 keen to join our team at StudySmarter!
How to prepare for a job interview at LinkedIn
✨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.
✨Prepare for Technical Questions
Expect in-depth technical questions about MLOps and cloud deployment. Brush up on CI/CD processes for ML and be ready to explain how you’ve implemented observability and security in your past projects.
