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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 expertise in a collaborative team.
- Qualifications: 5+ years in software engineering with strong AI skills.
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
Senior 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 Senior 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 bring to the table.
✨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 examples will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Senior AI Engineer (Remote) in Farnborough, Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in AI engineering and software development. We want to see how your skills align with the job description, so don’t be shy about showcasing your hands-on expertise with Python, PostgreSQL, and graph databases.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Senior AI Engineer role. Share specific examples of your past projects and how they relate to the advanced AI solutions we’re delivering.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled complex challenges in AI or software engineering. We love seeing how you approach problems and come up with innovative solutions, especially in enterprise environments.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for everyone involved!
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 specific challenges you've faced in previous roles, particularly in optimising AI solutions or working with containerised architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Familiarise Yourself with CI/CD Pipelines
Since building and maintaining CI/CD pipelines is crucial for this role, be prepared to discuss your experience with them. Highlight any tools or frameworks you've used and how they contributed to rapid deployment and continuous improvement.
✨Collaboration is Key
This role involves working closely with engineering and data teams, so be ready to share examples of how you've successfully collaborated in the past. Emphasise your communication skills and how you ensure everyone is on the same page during projects.