At a Glance
- Tasks: Lead a high-performing AI engineering team and deliver innovative AI solutions.
- Company: Dynamic data & AI practice with a focus on growth and innovation.
- Benefits: Competitive salary, bonus, hybrid working, and comprehensive benefits.
- Other info: Client-facing role with opportunities for leadership and professional development.
- Why this job: Shape the future of AI while collaborating with top talent in a vibrant environment.
- Qualifications: Strong AI/ML production experience and solid engineering skills in Python.
The predicted salary is between 130000 - 130000 € per year.
£130,000 + 10-15% Bonus + Benefits Hybrid Working, can be based out of Edinburgh, Manchester, London.
We’re working with a growing data & AI practice looking for someone to lead the next phase of their AI engineering capability. This role sits at the intersection of consulting and hands-on engineering — ideal for someone who can move between senior stakeholder conversations and deep technical delivery without losing credibility in either.
What you’d be doing:
- Leading and developing a high-performing AI engineering team
- Setting engineering standards and ensuring quality across multiple client engagements
- Translating complex AI concepts into clear, practical direction for business and technical audiences
- Architecting and delivering production-grade AI solutions (ML + newer generative/agent-based approaches)
- Acting as a trusted advisor in shaping AI roadmaps, solution design, and delivery approaches
What matters for this role:
- Strong experience taking AI/ML solutions into production environments
- Solid engineering foundations (Python and modern data/ML ecosystems)
- Familiarity with cloud-based AI platforms and scalable data systems
- Experience with deployment practices (automation, monitoring, reliability, etc.)
- Ability to operate in ambiguity and guide decision-making with structure and clarity
This is a client-facing leadership role suited to someone who enjoys building teams, shaping solutions, and staying close to emerging AI capabilities. If you're curious, feel free to reach out for a confidential conversation.
Lead Artificial Intelligence Engineer employer: MBN Solutions
As a Lead Artificial Intelligence Engineer, you will join a dynamic and innovative team within a growing data and AI practice that values collaboration and creativity. With a competitive salary, hybrid working options, and a strong focus on employee development, this role offers the opportunity to lead high-performing teams while shaping cutting-edge AI solutions in vibrant cities like Edinburgh, Manchester, and London. The company fosters a culture of continuous learning and provides ample opportunities for professional growth, making it an excellent employer for those seeking meaningful and rewarding work in the AI field.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Artificial Intelligence Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering space. Attend meetups, webinars, or industry events where you can chat with potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI projects and solutions. This is your chance to demonstrate your hands-on experience and technical prowess, making it easier for employers to see your value.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and leadership questions. Be ready to discuss how you've led teams and delivered AI solutions in the past. We want to see your ability to communicate complex ideas clearly!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Artificial Intelligence Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Lead AI Engineer role. Highlight your experience in AI/ML solutions and any leadership roles you've held, as we want to see how you can lead our high-performing team.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Talk about your experience with production environments and how you can bridge the gap between technical delivery and stakeholder conversations.
Showcase Your Technical Skills:Don’t forget to mention your technical expertise! We’re looking for solid engineering foundations, so be sure to highlight your proficiency in Python and any cloud-based AI platforms you’ve worked with. This will help us see your fit for the role.
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. Plus, we love seeing applications come through our own channels!
How to prepare for a job interview at MBN Solutions
✨Know Your AI Stuff
Make sure you brush up on your AI and ML knowledge before the interview. Be ready to discuss your experience with taking AI solutions into production, as well as your familiarity with Python and cloud-based platforms. This will show that you’re not just a leader but also technically savvy.
✨Showcase Your Leadership Skills
Prepare examples of how you've led high-performing teams in the past. Think about specific challenges you faced and how you overcame them. This will help demonstrate your ability to build and develop teams, which is crucial for this role.
✨Communicate Clearly
Since this role involves translating complex AI concepts for various audiences, practice explaining technical ideas in simple terms. You might be asked to do this during the interview, so being able to communicate effectively will set you apart.
✨Be Ready for Client Scenarios
Expect questions about your experience in client-facing roles. Prepare to discuss how you've shaped AI roadmaps and delivered solutions in previous positions. This will highlight your ability to operate in ambiguity and guide decision-making, which is key for this position.
