Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design, build, and deploy cutting-edge AI solutions for diverse clients.
- Company: Fast-growing AI consultancy with a dynamic startup culture.
- Benefits: Up to £130k salary, 25 days holiday, private medical, and pension contributions.
- Other info: Flexible hybrid role with opportunities for career advancement in a thriving environment.
- Why this job: Join a high-growth team and work on innovative AI projects that make a real impact.
- Qualifications: 3+ years in software engineering, experience with AI solutions, and strong communication skills.
The predicted salary is between 130000 - 130000 £ per year.
We’re working with a fast growth AI Consultancy with offices in London, Manchester and Edinburgh. The business is just over 2 years old and currently sitting at over 100 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 Senior 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
- Ability to design, build and deploy AI solutions in collaboration with clients
- Effective communication skills
- 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 adhoc requirements to be on client premises Glasgow/Edinburgh this could be between 1-3 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 £130k
- 25 Days holiday
- Statutory pension contribution
- Private medical
Please note: you must be eligible to work in the UK 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 mo@mbnsolutions.com
- Call me on 02037736498
Senior Artificial Intelligence Engineer in Scotland employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Artificial Intelligence Engineer in Scotland
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those who work at consultancies or startups. Attend meetups, webinars, and conferences to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs, Computer Vision, or NLP. 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 communication skills. Be ready to explain complex AI concepts in simple terms, as you'll need to collaborate with clients and team members who may not have a technical background.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining us. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Senior Artificial Intelligence Engineer in Scotland
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior AI Engineer role. Highlight your experience with production-ready AI solutions and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background in Computer Vision/NLP makes you a great fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've developed LLM applications or worked with cutting-edge techniques like RAG architecture, make sure to showcase these in your application. We’re keen to see real examples of your work and how you’ve applied SOTA research in AI.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy – just click that ‘apply now’ button!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on the latest trends in AI, especially around LLMs, RAG architecture, and GenAI. Be ready to discuss your experience with building production-ready AI solutions and how you've applied state-of-the-art research in your previous projects.
✨Show Off Your Communication Skills
Effective communication is key in this role, so practice explaining complex AI concepts in simple terms. Think about how you can convey your ideas clearly and engage with the interviewers, especially when discussing collaboration with clients.
✨Demonstrate Your Software Engineering Skills
With at least 3 years of software engineering experience under your belt, be prepared to showcase your coding skills. Bring examples of your work, particularly any LLM architectures or applications you've developed and deployed, to highlight your technical prowess.
✨Be Flexible and Ready to Adapt
Since the role requires some on-site presence in Glasgow or Edinburgh, show that you're adaptable and willing to meet client needs. Discuss any past experiences where you've had to adjust your schedule or approach to fit project requirements.