At a Glance
- 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 real-world projects.
- Why this job: Make a real difference with AI in the public sector and lead innovative teams.
- 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 Southampton employer: LinkedIn
Join a forward-thinking public sector organisation that prioritises meaningful AI development, where your work will have a tangible impact on the UK's most significant programmes. We foster a collaborative and inclusive work culture, offering extensive opportunities for professional growth and development, alongside competitive benefits tailored to support your well-being. Located in the UK, you'll be part of a team dedicated to innovation and excellence, ensuring that your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Artificial Intelligence Specialist in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and public sector space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those that have made a real impact. We want to see your work in action, so don’t be shy about sharing your successes.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. We recommend practising common interview questions related to AI architecture and MLOps, so you can confidently demonstrate your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing directly from candidates who are passionate about making a difference in the public sector with AI.
We think you need these skills to ace Artificial Intelligence Specialist in Southampton
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 built and how it made an impact, so don’t hold back on the details!
Tailor Your Application:Make your application stand out by tailoring it to the role. Use the job description as a guide and align your skills and experiences with what we’re looking for. This shows us you’ve done your homework!
Be Clear and Concise:Keep your application clear and to the point. We appreciate straightforward communication, so avoid jargon unless it’s necessary. Remember, we want to understand your expertise without wading through fluff.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved.
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 past projects and how they relate to the role, showcasing your hands-on experience with production-grade AI systems.
✨Showcase Your Leadership Skills
Since this role involves leading cross-functional teams, prepare examples that highlight your leadership and stakeholder management abilities. Think of specific situations where you successfully translated client needs into technical roadmaps or guided a team through challenges.
✨Understand the Public Sector Landscape
Familiarise yourself with the complexities of working in regulated domains like public sector or healthcare. Be prepared to discuss how your experience aligns with these environments and how you can navigate their unique challenges while delivering impactful AI solutions.
✨Communicate Clearly and Confidently
Practice explaining complex AI concepts in simple terms, as you’ll need to communicate effectively with both engineers and senior stakeholders. Use clear examples from your experience to demonstrate your ability to know when AI is the right solution and when it isn’t.
