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- Tasks: Design and optimise AI solutions in a dynamic enterprise environment.
- Company: Join a cutting-edge programme with a focus on advanced AI technologies.
- Benefits: Competitive day rate, hybrid working, and fast-paced interview process.
- Other info: Immediate hiring with excellent career growth opportunities.
- Why this job: Lead innovative AI projects and make a real impact in tech.
- Qualifications: 5+ years in software engineering with strong AI expertise.
We are seeking a highly experienced Senior AI Engineer to join a cutting-edge programme delivering advanced AI and data-driven solutions within a complex enterprise environment. This is a hands-on engineering role suited to someone who has operated at senior level within large organisations and is comfortable leading by example in high-performing technical teams.
Key Responsibilities
- Design, build and optimise AI-powered solutions within enterprise-scale environments
- Develop and deploy scalable AI services using containerised architectures and Kubernetes
- Work with graph databases and retrieval systems to support advanced AI use cases
- Build and maintain CI/CD pipelines for rapid deployment and continuous improvement
- Optimise runtime performance, scalability and reliability of AI platforms
- Collaborate closely with engineering and data teams to deliver production-grade AI capabilities
Required Experience
- Minimum 5 years’ software engineering experience within large-scale enterprise environments
- Strong hands-on AI engineering expertise
- Commercial experience with:
- Python
- PostgreSQL
- JSON
- Kubernetes
- CI/CD pipelines
- Containerisation technologies
- Graph databases
- Experience with Retrieval-Augmented Generation (RAG)
- Exposure to Microsoft Graph Retrieval or similar retrieval frameworks
- Strong understanding of deployment, optimisation and performance tuning
Highly Desirable
- Experience solving optimisation problems using mathematical solvers
- Exposure to distributed AI systems and enterprise-scale GenAI platforms
- Prior experience working in security-conscious or regulated environments
Additional Information
- Hybrid working – 3 days per week onsite in Farnborough
- Fast-moving interview process (2 stages)
- Immediate hiring requirement with onboarding targeted by mid-June
- Successful applicants will be required to be security cleared prior to appointment
If this opportunity is of interest, please apply with an up-to-date copy of your CV or email me directly via Jake@talentlocker.co.uk
Senior AI Engineer in Hampshire employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer in Hampshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the hunt for a Senior AI Engineer role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Brush up on your technical skills and be ready to discuss your hands-on experience with AI solutions, Kubernetes, and CI/CD pipelines. We want you to shine when it comes to showcasing your expertise.
✨Tip Number 3
Don’t forget to tailor your approach! When you apply through our website, make sure to highlight your relevant experience with Python, PostgreSQL, and graph databases. Show us why you’re the perfect fit for this cutting-edge programme.
✨Tip Number 4
Follow up after your interviews! A quick thank-you email can go a long way in keeping you top of mind. Plus, it shows your enthusiasm for the role and the company. Let’s make sure they remember you!
We think you need these skills to ace Senior AI Engineer in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with AI solutions, containerisation, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Experience: Don’t just list your skills; showcase your hands-on experience in large-scale environments. Use specific examples that demonstrate your expertise in Python, Kubernetes, and CI/CD pipelines. This helps us see you in action!
Be Clear and Concise: Keep your application clear and to the point. Avoid jargon unless it’s relevant to the role. We appreciate straightforward communication, so make it easy for us to understand your qualifications and fit for the position.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Talent Locker
✨Know Your AI Stuff
Make sure you brush up on your AI engineering knowledge, especially around the technologies mentioned in the job description. Be ready to discuss your hands-on experience with Python, Kubernetes, and graph databases. Prepare examples of how you've designed and optimised AI solutions in previous roles.
✨Showcase Your Leadership Skills
Since this role involves leading high-performing technical teams, think about times when you've taken charge or mentored others. Be prepared to share specific instances where your leadership made a difference in project outcomes or team dynamics.
✨Get Familiar with CI/CD Pipelines
As you'll be building and maintaining CI/CD pipelines, it’s crucial to understand the best practices and tools involved. Be ready to discuss your experience with rapid deployment and continuous improvement processes, and how you've implemented these in past projects.
✨Prepare for Technical Questions
Expect some deep-dive technical questions during the interview. Brush up on optimisation problems and performance tuning, especially in relation to AI platforms. Practising coding challenges or system design questions can also help you feel more confident.