At a Glance
- Tasks: Design and deploy cutting-edge AI applications for major enterprise clients.
- Company: Fast-growing AI consultancy transforming enterprise AI adoption.
- Benefits: Up to £115k salary, bonus, and hybrid work model.
- Other info: Work in a dynamic environment with opportunities for innovation and growth.
- Why this job: Shape the future of AI while mentoring engineers and solving complex problems.
- Qualifications: Strong software engineering skills and experience with AI observability & MLOps.
The predicted salary is between 115000 - 115000 € per year.
We’re partnering with a fast-growing AI consultancy transforming how enterprise organisations adopt and scale AI. You’ll be building production-grade AI systems used by major enterprise clients, working with cutting‑edge LLMs, agent frameworks, and cloud‑native AI infrastructure.
What you’ll be doing:
- Designing and deploying enterprise AI applications
- Working with OpenAI + Azure AI services in production
- Driving AI integration across enterprise platforms and data systems
- Mentoring engineers and shaping technical delivery standards
- Experimenting with emerging AI capabilities before they hit mainstream adoption
What they’re looking for:
- Strong software engineering fundamentals
- Experience with AI observability & MLOps
- Someone who enjoys solving complex enterprise problems with practical AI
Hybrid London (3 days onsite)
Lead AI Engineer – Client-facing | London (Hybrid) – Up to £115k + bonus employer: Oliver Bernard
As a Lead AI Engineer at our fast-growing AI consultancy in London, you'll be part of a dynamic team that is at the forefront of transforming enterprise organisations through innovative AI solutions. We offer a collaborative work culture that values mentorship and continuous learning, alongside competitive compensation and bonuses, ensuring you have the resources to thrive in your career while working on impactful projects with major clients.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer – Client-facing | London (Hybrid) – Up to £115k + bonus
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, especially those working at consultancies. A friendly chat can open doors and give you insights that might just land you that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with AI observability and MLOps. When you get the chance to chat with potential employers, having something tangible to discuss can really set you apart.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to AI systems and enterprise solutions. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Lead AI Engineer – Client-facing | London (Hybrid) – Up to £115k + bonus
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 with AI systems, software engineering fundamentals, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how you can contribute to our mission. Share specific examples of how you've solved complex problems in previous roles, especially in client-facing situations.
Showcase Your Technical Skills:Don’t forget to mention your experience with OpenAI, Azure AI services, and MLOps. We want to see how you’ve applied these technologies in real-world scenarios, so be specific about your contributions.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Oliver Bernard
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI systems, especially around LLMs and MLOps. Be ready to discuss your experience with OpenAI and Azure AI services, as well as any projects where you've tackled complex enterprise problems.
✨Showcase Your Engineering Skills
Prepare to demonstrate your software engineering fundamentals. Think about specific examples where you've designed and deployed applications, and be ready to explain your thought process and the challenges you faced.
✨Be Client-Focused
Since this role is client-facing, practice how you'll communicate technical concepts to non-technical stakeholders. Highlight any past experiences where you've successfully collaborated with clients or mentored others in a technical context.
✨Stay Ahead of the Curve
Familiarise yourself with emerging AI capabilities and trends. Be prepared to discuss how you’ve experimented with new technologies and how you can bring that innovative mindset to the consultancy's projects.
