At a Glance
- Tasks: Lead the design and development of innovative AI applications for enterprise clients.
- Company: Fast-growing AI consultancy with a focus on impactful solutions.
- Benefits: Competitive salary up to £115k, bonus, and hybrid work options.
- Other info: Join a dynamic team with opportunities for growth and influence.
- Why this job: Tackle complex AI challenges and shape the future of technology.
- Qualifications: Strong Python skills and experience with LLMs and cloud platforms.
The predicted salary is between 115000 - 115000 £ per year.
Oliver Bernard are partnered with a fast-growing AI consultancy helping enterprise organisations design, build and deploy AI solutions at scale. Following continued client growth, they're looking for a Lead AI Engineer to drive the delivery of cutting-edge AI applications across agentic systems, LLM platforms and enterprise transformation projects.
You'll take ownership of designing and building production-grade AI systems, working closely with engineering teams, data specialists and senior stakeholders to deliver impactful AI products. This is a hands-on leadership role with significant influence over architecture, technical direction and best practice.
What You'll Need
- Strong Python engineering experience building production software
- Commercial experience with LLMs, AI Agents and frameworks such as LangGraph or AutoGen
- Experience deploying AI applications on AWS or Azure (Bedrock, SageMaker, OpenAI, Cognitive Services etc.)
- Solid understanding of MLOps, CI/CD, Docker and Kubernetes
- Experience with RAG architectures, vector databases and retrieval systems
- Knowledge of observability and monitoring tools (Langfuse, OpenTelemetry or similar)
- Experience mentoring engineers and contributing to technical strategy
- Strong communication skills and confidence working directly with clients and stakeholders
Why Join?
- Work on complex AI challenges for leading enterprise organisations
- Influence architecture and technical direction across multiple projects
- Exposure to the latest advancements in agentic AI and LLM systems
- Join a high-growth business with strong market demand and ambitious expansion plans
Lead AI Engineer - London - up to £115k employer: Oliver Bernard
Join a dynamic and innovative AI consultancy in London, where you'll tackle complex challenges and lead the development of cutting-edge AI solutions for top-tier enterprise clients. With a strong emphasis on employee growth, you will have the opportunity to influence technical direction and architecture while working in a collaborative and supportive environment that values your expertise. Enjoy a competitive salary package, hybrid working arrangements, and the chance to be at the forefront of AI advancements in a rapidly expanding market.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - London - up to £115k
✨Tip Number 1
Network like a pro! Attend AI meetups, tech conferences, or local events in London. It's a great way to meet industry folks and get your name out there. Plus, you never know who might be looking for a Lead AI Engineer!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving LLMs and AI applications. 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 technical knowledge and soft skills. Be ready to discuss your experience with Python, AWS/Azure, and MLOps. Practice common interview questions and scenarios to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a straightforward way to get your application noticed by the right people.
We think you need these skills to ace Lead AI Engineer - London - up to £115k
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your strong Python engineering experience and any commercial work with LLMs or frameworks like LangGraph. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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 experience with AWS or Azure can contribute to our team. Let us know what excites you about the role and the impact you hope to make.
Showcase Leadership Skills:Since this is a hands-on leadership role, highlight any experience you have mentoring engineers or influencing technical strategy. We love seeing candidates who can lead and inspire others, so share those stories!
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 Tech Inside Out
Make sure you’re well-versed in Python and the frameworks mentioned, like LangGraph and AutoGen. Brush up on your experience with LLMs and be ready to discuss specific projects where you've deployed AI applications on AWS or Azure.
✨Showcase Your Leadership Skills
Since this is a hands-on leadership role, prepare examples of how you've mentored engineers or influenced technical strategy in previous positions. Highlight your ability to communicate effectively with both technical teams and stakeholders.
✨Understand MLOps and CI/CD
Be ready to talk about your experience with MLOps, Docker, Kubernetes, and CI/CD processes. Discuss how you've implemented these practices in past projects to ensure smooth deployment and monitoring of AI systems.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in AI projects and how you overcame them, especially regarding architecture and observability tools.
