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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-tracked interview process.
- Other info: Immediate hiring with security clearance required before appointment.
- 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
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 employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior AI Engineer
✨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 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 involving Python, Kubernetes, and graph databases. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with CI/CD pipelines and optimisation techniques, as these are key for the role.
✨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 that extra step to connect with us directly.
We think you need these skills to ace Senior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI engineering and large-scale enterprise environments. We want to see how your skills align with the key responsibilities mentioned in the job description.
Showcase Relevant Projects: Include specific projects where you've designed or optimised AI solutions, especially using technologies like Kubernetes and graph databases. This will help us understand your hands-on experience and problem-solving abilities.
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it's relevant to the role. Make it easy for us to see why you're a great fit!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us track your application better and ensures you don’t miss out on any important updates!
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 Security Questions
Given the need for security clearance, expect questions around working in regulated environments. Think about your experiences in security-conscious settings and be ready to explain how you ensure compliance and data protection in your projects.