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- 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, private medical, and a hybrid work model.
- Why this job: Be part of an innovative startup, tackling exciting AI challenges in a supportive culture.
- Qualifications: Experience in NLP, software engineering, and deploying LLM applications is essential.
- Other info: Flexible hybrid role with client visits in Glasgow or Edinburgh 1-4 days a week.
The predicted salary is between 57000 - 95000 £ per year.
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
- Design, build and deploy AI solutions in collaboration with our clients
- Background in foundational NLP
- Strong Software Engineering skills (3 years+)
- Developed LLM architecture and deployed LLM applications
- Effective communication skills
- Up-to-date 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 either 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 up to £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 by the following:
- Email me at
- Call me on 02037736498
Artificial Intelligence Engineer employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI, especially in areas like LLM architecture and RAG techniques. This knowledge will not only help you during interviews but also demonstrate your passion and commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the AI consultancy space, particularly those who have experience in startups. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the company culture at the consultancy.
✨Tip Number 3
Prepare to discuss your previous projects in detail, focusing on how you've built and deployed production-ready AI solutions. Be ready to explain your thought process and the impact of your work on clients' businesses.
✨Tip Number 4
Showcase your effective communication skills by practising how to explain complex AI concepts in simple terms. This is crucial for collaborating with clients and ensuring they understand the value of the solutions you provide.
We think you need these skills to ace Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in building production-ready AI solutions. Emphasise your background in foundational NLP and software engineering skills, as well as any relevant projects you've worked on.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific AI projects or techniques you have experience with, such as LLM architecture or RAG architecture, to demonstrate your fit for the position.
Showcase Communication Skills: Since effective communication is key for this role, consider including examples in your application that showcase your ability to collaborate with clients and team members. This could be through project descriptions or specific achievements.
Highlight Flexibility: As the role requires flexibility in working on client premises, mention your willingness to adapt to different work environments. This can help reassure the employer of your commitment to meeting their needs.
How to prepare for a job interview at MBN Solutions
✨Showcase Your AI Knowledge
Make sure to brush up on the latest trends and techniques in AI, especially those mentioned in the job description like RAG architecture and GenAI. Be prepared to discuss how you've applied these concepts in your previous work.
✨Demonstrate Your Software Engineering Skills
Since strong software engineering skills are crucial for this role, be ready to provide examples of projects where you designed, built, and deployed AI solutions. Highlight your experience with LLM architecture and any relevant programming languages.
✨Communicate Effectively
Effective communication is key in a consultancy environment. Practice explaining complex AI concepts in simple terms, as you may need to collaborate with clients who might not have a technical background.
✨Be Flexible and Adaptable
Given the hybrid nature of the role, express your willingness to work on client premises in Glasgow or Edinburgh. Share any past experiences where you successfully adapted to changing environments or client needs.
