Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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.
Farnborough (3 days onsite) Contract – Initial 3 Months Competitive Day Rate – Outside IR35 Security Clearance required prior to appointment
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
- 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 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
- 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
Locations
Senior AI Engineer in Farnborough, 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 Farnborough, 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 lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨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. We recommend practising common interview questions related to Python, Kubernetes, and CI/CD pipelines.
✨Tip Number 3
Showcase your projects! If you've worked on any impressive AI projects, make sure to highlight them during interviews. Bring along examples of how you've optimised performance or built scalable solutions to impress the hiring team.
✨Tip Number 4
Apply through our website! It’s the quickest way to get your application noticed. Plus, we love seeing candidates who take the initiative to apply directly. Don’t miss out on this opportunity!
We think you need these skills to ace Senior AI Engineer in Farnborough, 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 Python, Kubernetes, and any relevant projects that showcase your hands-on AI engineering expertise. We want to see how your skills align with what we're looking for!
Showcase Your Achievements: Don’t just list your responsibilities; showcase your achievements! Use metrics where possible to demonstrate how you’ve optimised AI solutions or improved performance in previous roles. This helps us see the impact you've made in your past positions.
Keep It Clear and Concise: We appreciate clarity! Keep your application clear and concise, focusing on the most relevant experiences. Avoid jargon unless it’s specific to the role, as we want to understand your journey without getting lost in technical terms.
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’re considered for the role. Plus, it’s super easy – just upload your CV and let us do the rest!
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, and maybe even bring up a challenge you faced and how you overcame it.
✨Prepare for Technical Questions
Expect some technical questions that dive deep into your experience with containerisation technologies and performance tuning. Practise explaining complex concepts in simple terms, as this will demonstrate your expertise and ability to communicate effectively with non-technical stakeholders.