At a Glance
- Tasks: Design and optimise AI solutions in a dynamic enterprise environment.
- Company: Join a cutting-edge tech programme focused on advanced AI solutions.
- Benefits: Competitive day rate, hybrid working, and immediate onboarding.
- Other info: Collaborate with top engineering teams and enjoy career growth.
- Why this job: Be at the forefront of AI innovation and make a real impact.
- 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.
- 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.
Remote AI Engineer in Farnborough employer: Talent Locker
Join a forward-thinking company that values innovation and collaboration, offering a dynamic work culture where your expertise as a Senior AI Engineer will be pivotal in shaping advanced AI solutions. With a competitive day rate and the flexibility of hybrid working in Farnborough, you will have the opportunity to grow professionally while contributing to cutting-edge projects in a supportive environment that prioritises employee development and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Remote AI Engineer in Farnborough
✨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 looking for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Remote AI Engineer in Farnborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Senior AI Engineer. Highlight your experience with AI solutions, containerised architectures, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them in real-world scenarios. Talk about your experience with Python, PostgreSQL, and graph databases. We love seeing practical examples of your work!
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the good stuff!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, we can’t wait to hear from you!
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 containerised architectures like Kubernetes. Use specific examples to illustrate your thought process and outcomes.
✨Familiarise Yourself with CI/CD Pipelines
Since building and maintaining CI/CD pipelines is key for this role, be ready to explain your experience with them. Discuss how you've implemented rapid deployment and continuous improvement in past projects.
✨Collaboration is Key
This role involves working closely with engineering and data teams, so think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve contributed to team success in delivering AI capabilities.
