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- Tasks: Design and optimise AI solutions in a dynamic enterprise environment.
- Company: Join a cutting-edge programme focused on advanced AI and data-driven solutions.
- Benefits: Competitive day rate, hybrid working, and immediate onboarding.
- Other info: Work with innovative technologies and enjoy career growth opportunities.
- Why this job: Make an impact with your AI skills in a collaborative team.
- Qualifications: 5+ years in software engineering and strong AI expertise required.
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.
- 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
- Graph databases
- Exposure to Microsoft Graph Retrieval or similar retrieval frameworks
- Strong understanding of deployment, optimisation and performance tuning
- Exposure to distributed AI systems and enterprise-scale GenAI platforms
Hybrid working – 3 days per week onsite in Farnborough
Immediate hiring requirement with onboarding targeted by mid-June
Locations
AI Engineer (Remote) in Farnborough, Hampshire employer: Talent Locker
Contact Detail:
Talent Locker Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Engineer (Remote) 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. Sometimes, a friendly nudge can lead to a hidden job opening that’s not even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving Python and graph databases. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of containerised architectures and CI/CD pipelines. Be ready to discuss how you've optimised performance in past roles – real-world examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace AI Engineer (Remote) in Farnborough, Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI engineering and the specific technologies mentioned in the job description. We want to see how your skills align with what we're looking for, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for our team. We love hearing personal stories that connect your experience to the role.
Showcase Your Projects: If you've worked on any interesting AI projects, make sure to mention them in your application. We’re keen to see real-world examples of your work, especially those involving scalable AI services or containerised architectures.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates from us. Plus, we love seeing applications come in through our own platform!
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 Python, PostgreSQL, and graph databases. Be ready to discuss your hands-on experience and any projects you've worked on that relate to the job description.
✨Showcase Your Problem-Solving Skills
Prepare to talk about how you've tackled challenges in previous roles, particularly in optimising AI solutions and working with CI/CD pipelines. Use specific examples to illustrate your thought process and the impact of your solutions.
✨Familiarise Yourself with Containerisation
Since the role involves containerised architectures and Kubernetes, it’s crucial to understand these technologies. Be prepared to discuss how you've used them in past projects and how they can benefit AI deployments.
✨Collaboration is Key
This position requires close collaboration with engineering and data teams. Think of examples where you've successfully worked in a team setting, highlighting your communication skills and how you contributed to achieving common goals.