AI Engineer - Glasgow/Edinburgh
AI Engineer - Glasgow/Edinburgh

AI Engineer - Glasgow/Edinburgh

Glasgow Full-Time 72000 - 108000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to design and deploy cutting-edge AI solutions for diverse clients.
  • Company: Fast-growing AI consultancy with a proven track record in building successful businesses.
  • Benefits: Enjoy a competitive salary, EMI shares, 25 days holiday, and private medical care.
  • Why this job: Work on innovative AI projects in a supportive culture focused on growth and success.
  • Qualifications: Experience in AI solutions, software engineering, and familiarity with LLM applications required.
  • Other info: Hybrid role with flexible client site requirements in Glasgow or Edinburgh.

The predicted salary is between 72000 - 108000 £ per year.

AI Engineer – Startup (AI Consultancy) - Glasgow/Edinburgh (Hybrid) Upto £95k + shares

We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is under 2 years old and currently sitting at 55 people, generating revenue with a range of AI projects including fact extraction, conversational AI, Co-pilots, knowledge graphs, spanning across a variety of clients such as Investments, Insurance, F&B and CPG. The founders have proven experience in building a consultancy from scratch and exiting, having previously built a Data Science consultancy and successfully sold to a ‘big 4’, they are on course to replicate their success here. This has fuelled rapid growth in the team and we are looking for AI Engineers of different experience levels to join us in building the business by developing end-to-end LLM products for our clients.

What we’re looking for:

  • Experience building production ready AI solutions, to design, build and deploy AI solutions in collaboration with our clients.
  • Background in foundational Computer Vision/NLP
  • Strong Software Engineering skills (3 years+)
  • Developed LLM architecture and deployed LLM applications
  • Uptodate with current trends in AI
  • Some experience with applying latest techniques like RAG architecture, GenAI, Parallel training etc

The role is hybrid, with requirements to be on client premises in Glasgow or Edinburgh between 1-4 days a week, so we would need someone that is flexible. This is a fantastic opportunity to work on a broad range of problems, applying SOTA AI solutions, in a high growth business, set for success and you will be rewarded with:

  • Base salary of upto £95k
  • Meaningful EMI shares
  • 25 Days holiday
  • Statutory pension contribution
  • Private medical

Please note: you must be eligible to work in the UK or EU to be considered for this position.

Interested? If you think you fit the bill, get in touch by clicking the ‘apply now’ button or get in touch with me.

AI Engineer - Glasgow/Edinburgh employer: MBN Solutions

Join a dynamic and rapidly growing AI consultancy in Glasgow/Edinburgh, where innovation meets opportunity. With a strong focus on employee development, we offer competitive salaries, meaningful EMI shares, and a supportive hybrid work culture that encourages collaboration and flexibility. Be part of a team that is not only shaping the future of AI but also investing in your personal growth and success.
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Contact Detail:

MBN Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer - Glasgow/Edinburgh

✨Tip Number 1

Familiarise yourself with the latest trends in AI, especially in areas like LLM architecture and GenAI. This knowledge will not only help you during interviews but also demonstrate your passion for the field.

✨Tip Number 2

Network with professionals in the AI consultancy space, particularly those who have experience in building production-ready AI solutions. Attend meetups or webinars to connect with potential colleagues and learn more about the industry.

✨Tip Number 3

Prepare to discuss specific projects where you've applied your software engineering skills to develop AI solutions. Be ready to explain your role, the challenges faced, and how you overcame them, as this will showcase your practical experience.

✨Tip Number 4

Since the role is hybrid, be flexible and ready to discuss your availability for on-site work in Glasgow or Edinburgh. Highlighting your adaptability can make you a more attractive candidate for the team.

We think you need these skills to ace AI Engineer - Glasgow/Edinburgh

Computer Vision
Natural Language Processing (NLP)
Software Engineering
Large Language Model (LLM) Architecture
AI Solution Deployment
State-of-the-Art (SOTA) AI Research
RAG Architecture
Generative AI (GenAI)
Parallel Training Techniques
Collaboration Skills
Flexibility for Hybrid Work
Problem-Solving Skills
Adaptability to New Technologies

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience in building production-ready AI solutions, particularly in Computer Vision and NLP. Use specific examples of projects you've worked on that align with the job description.

Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your understanding of the latest trends in the field. Mention your familiarity with techniques like RAG architecture and GenAI, and how you can contribute to the company's growth.

Showcase Relevant Projects: If you have developed LLM architecture or deployed LLM applications, include these in your application. Provide links to any relevant work or GitHub repositories that demonstrate your skills and experience.

Highlight Flexibility: Since the role requires hybrid working, emphasise your flexibility regarding being on client premises in Glasgow or Edinburgh. This shows your willingness to adapt to the company's needs.

How to prepare for a job interview at MBN Solutions

✨Showcase Your AI Knowledge

Make sure to brush up on the latest trends in AI, especially in areas like Computer Vision and NLP. Be prepared to discuss your experience with LLM architecture and any projects you've worked on that demonstrate your ability to build production-ready AI solutions.

✨Demonstrate Software Engineering Skills

Since strong software engineering skills are crucial for this role, be ready to talk about your coding experience. Highlight specific programming languages and frameworks you’ve used, and consider bringing examples of your work or discussing challenges you've overcome in past projects.

✨Be Flexible and Adaptable

This role requires a hybrid working model, so express your willingness to adapt to client needs. Share examples of how you've successfully collaborated with clients or teams in different settings, whether remote or on-site, to show that you're a team player.

✨Prepare Questions for the Interviewers

Interviews are a two-way street, so come prepared with insightful questions about the company’s projects, culture, and future plans. This not only shows your interest but also helps you determine if the company is the right fit for you.

AI Engineer - Glasgow/Edinburgh
MBN Solutions
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