At a Glance
- Tasks: Lead the design and delivery of cutting-edge AI systems for enterprise clients.
- Company: Fast-growing AI-native consultancy with a focus on innovative solutions.
- Benefits: Hybrid working, competitive contract rate, and immediate start.
- Other info: Opportunity to work on high-impact projects with excellent career growth.
- Why this job: Join a dynamic team and make a real impact in AI transformation projects.
- Qualifications: Proven AI/ML experience, strong Python skills, and hands-on with LLMs.
The predicted salary is between 60000 - 80000 £ per year.
Oliver Bernard have partnered with a fast-growing AI-native consultancy delivering cutting-edge GenAI and agentic AI solutions for enterprise clients. Due to a strong project pipeline, they're looking for a Lead AI Engineer to join on an initial 6-month contract and help lead the design and delivery of production-grade AI systems.
You'll work closely with clients and engineering teams to architect, build and deploy scalable AI applications, leveraging the latest advancements in LLMs, RAG, agents and cloud-native infrastructure.
What they're looking for:
- Proven experience delivering AI/ML solutions into production environments
- Strong Python engineering background
- Hands-on experience with LLMs, RAG pipelines and agentic frameworks (LangGraph, LangChain, CrewAI etc.)
- Experience building scalable APIs and cloud-native applications (AWS/Azure/GCP)
- Ability to lead technical delivery and work directly with stakeholders
Contract Details:
- Outside IR35
- Initial 6-month contract
- Hybrid working (3 days per week in London)
- Opportunity to work on high-impact AI transformation programmes
Lead AI Engineer - Contract - Outside IR35 - London employer: Oliver Bernard
As a Lead AI Engineer at our fast-growing AI-native consultancy in London, you'll be part of a dynamic team that thrives on innovation and collaboration. We offer a hybrid working model, allowing you to balance your professional and personal life while contributing to high-impact AI transformation programmes. With a strong focus on employee growth and cutting-edge technology, we provide an environment where your skills can flourish and your contributions are valued.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer - Contract - Outside IR35 - London
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field and let them know you're on the lookout for opportunities. You never know who might have a lead on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving LLMs and cloud-native applications. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with Python and scalable APIs, as these are key for the Lead AI Engineer role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talented individuals like you to join our team.
We think you need these skills to ace Lead AI Engineer - Contract - Outside IR35 - London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AI/ML solutions and Python engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this Lead AI Engineer position and how your background makes you the perfect fit. We love seeing genuine enthusiasm for AI and consultancy work.
Showcase Your Technical Skills:When detailing your experience, focus on your hands-on work with LLMs, RAG pipelines, and cloud-native applications. We’re looking for specifics, so mention the tools and frameworks you’ve used, like LangGraph or AWS!
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’re considered for this exciting opportunity. Don’t miss out!
How to prepare for a job interview at Oliver Bernard
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, RAG pipelines, and agentic frameworks like LangGraph and LangChain. Be ready to discuss how you've applied these technologies in past projects, as this will show your hands-on experience and expertise.
✨Showcase Your Python Skills
Since a strong Python engineering background is crucial for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your approach to building scalable APIs, so practice coding challenges beforehand.
✨Understand the Consultancy Landscape
Familiarise yourself with the consultancy's recent projects and their impact on clients. This will help you articulate how you can contribute to their goals and lead technical delivery effectively, making you a more attractive candidate.
✨Prepare for Stakeholder Interaction
As you'll be working closely with clients and engineering teams, think about examples from your past where you've successfully collaborated with stakeholders. Be ready to discuss how you manage expectations and communicate complex ideas clearly.
