At a Glance
- Tasks: Build AI-powered solutions and lead exciting technical projects.
- Company: Dynamic tech solutions company based in Manchester.
- Benefits: Hybrid working model and competitive salary.
- Why this job: Join a cutting-edge team and shape the future of AI technology.
- Qualifications: Strong experience in AI solution development and client interaction.
- Other info: Great opportunity for career growth in a fast-evolving field.
The predicted salary is between 36000 - 60000 £ per year.
A technology solutions company based in Manchester is seeking a UK Applied AI Solution Engineer. The role involves building AI-powered solutions, consulting with clients, and leading technical projects.
Candidates should have strong experience in AI solution development, particularly with large language models, and be comfortable interacting with clients.
The position offers a hybrid working model and competitive salary.
Hybrid AI Solutions Engineer - Generative AI & LLM Lead in Manchester employer: Tomoro
Contact Detail:
Tomoro Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid AI Solutions Engineer - Generative AI & LLM Lead in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving large language models. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI solutions. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with clients.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Hybrid AI Solutions Engineer - Generative AI & LLM Lead in Manchester
Some tips for your application 🫡
Showcase Your AI Expertise: Make sure to highlight your experience with AI solution development, especially with large language models. We want to see how you've tackled similar challenges in the past!
Tailor Your Application: Don’t just send a generic CV and cover letter. We love it when candidates customise their applications to reflect the specific skills and experiences that match our job description.
Be Client-Focused: Since this role involves consulting with clients, share examples of how you've successfully interacted with clients in previous roles. We’re looking for those who can build strong relationships!
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Tomoro
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI solutions, especially large language models. Be ready to discuss specific projects you've worked on and how they relate to the role. This will show that you're not just familiar with the theory but have practical experience too.
✨Client Interaction Skills Matter
Since the role involves consulting with clients, practice how you communicate complex AI concepts in simple terms. Think of examples where you've successfully explained technical details to non-technical stakeholders. This will demonstrate your ability to bridge the gap between tech and client needs.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Review common challenges faced in AI solution development and be prepared to discuss how you would tackle them. This shows your problem-solving skills and readiness to lead technical projects.
✨Embrace the Hybrid Model
Since the position offers a hybrid working model, think about how you can effectively manage your time and productivity in both remote and in-office settings. Be ready to share your thoughts on how you would balance collaboration with independent work.