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 collaboration and growth.
- Benefits: Hybrid working, competitive salary, and opportunities for professional development.
- Other info: Client-facing role with excellent career advancement opportunities.
- Why this job: Shape the future of AI while working with cutting-edge technologies and talented teams.
- Qualifications: Strong AI/ML experience, Python skills, and familiarity with cloud-based platforms.
The predicted salary is between 80000 - 100000 £ per year.
Hiring: AI Engineering Lead (UK, Hybrid)
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.
Lead Artificial Intelligence Engineer in Manchester employer: MBN Solutions
As a Lead Artificial Intelligence Engineer with us, you'll thrive in a dynamic hybrid work environment across vibrant cities like Edinburgh, Manchester, and London. We pride ourselves on fostering a collaborative culture that encourages innovation and professional growth, offering you the chance to lead a high-performing team while engaging directly with clients to shape cutting-edge AI solutions. With a commitment to employee development and a focus on work-life balance, we provide a unique opportunity to make a meaningful impact in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Artificial Intelligence Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and engineering fields. Attend meetups, webinars, or industry events to meet potential employers and showcase your expertise.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI projects and solutions. This will give you an edge when discussing your experience with stakeholders during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to discuss how you've tackled challenges in previous roles. Confidence is key when you're leading discussions.
✨Tip Number 4
Apply through our website! We make it easy for you to find roles that match your skills. Plus, it shows you're genuinely interested in joining our team and contributing to our AI engineering capabilities.
We think you need these skills to ace Lead Artificial Intelligence Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead AI Engineer. Highlight your experience with AI/ML solutions and any leadership roles you've held. 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 the perfect fit for this hybrid role. Share specific examples of how you've led teams and delivered AI solutions in the past. We love a good story!
Showcase Your Technical Skills:Don’t forget to mention your technical expertise, especially in Python and cloud-based AI platforms. We’re keen on seeing how you’ve applied these skills in real-world scenarios, so be specific about your achievements.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come directly from our site!
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 production environments, Python, and cloud-based platforms. The more you can demonstrate your technical expertise, the more credibility you'll have in those senior stakeholder conversations.
✨Showcase Leadership Skills
Since this role involves leading a high-performing team, be prepared to share examples of how you've successfully built and managed teams in the past. Highlight your ability to set engineering standards and ensure quality across projects, as this will resonate well with the interviewers.
✨Communicate Clearly
You’ll need to translate complex AI concepts into practical solutions for both business and technical audiences. Practice explaining your past projects in simple terms, focusing on the impact and outcomes rather than just the technical details. This will show that you can bridge the gap between different stakeholders.
✨Embrace Ambiguity
This role requires someone who can operate in ambiguity and guide decision-making. Prepare to discuss situations where you've navigated uncertainty and provided structure and clarity. Sharing specific examples will help illustrate your problem-solving skills and adaptability.
