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- Tasks: Lead the development of cutting-edge Generative AI solutions and mentor fellow engineers.
- Company: A scaling AI consultancy with partnerships with renowned tech firms.
- Benefits: Competitive salary, EMI shares, private medical, wellness benefits, and 25 days holiday.
- Why this job: Join a profitable business at the forefront of applied AI and influence technical direction.
- Qualifications: 5+ years in software engineering, experience with LLM applications, and strong leadership skills.
- Other info: Hybrid working model with 3 days a week in London and excellent career growth opportunities.
The predicted salary is between 90000 - 135000 ÂŁ per year.
The Role:A wellâknown brand in the UK is building an AI team in 2026, starting with 4x AI Engineers (1x midâlevel, 2x Snr AI Engineers and 1x Lead AI Engineer).
The scope of the role is extremely broad, offering the chance to come in and deliver impact across all business areas.
With strong investment from the board and CEO, this team will utilise the latest techniques and innovation in AI to deliver value at a businessâwide level.
You will be the voice for AI within the company and be responsible for helping to shape an AI strategy, identifying key projects to deliver significant value and impact.
NB: This role does not involve direct people management to begin with, but there will be opportunities (if wanted) as the team grows.
You:
Experience in leading the delivery of AI solutions within an organisation from beginning to end
Strong technical experience across traditional data science and machine learning as well as AI
Technical leadership within the (growing) team â mentoring junior members of the team
Innovation is a key part of this role
In this role you can earn between ÂŁ130,000 â ÂŁ140,000 + benefits (including a 20% bonus OTE)
The Process:
Virtual Interview
Virtual (technical) interview
Inâperson interview
KEYWORDS:Data Scientist, Data Science, Machine Learning, Artificial Intelligence, AI, AI Engineer, LLM, RAG, Langchain.
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Lead AI Engineer employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Lead AI Engineer
â¨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. Attend industry meetups or webinars to meet potential employers and showcase your expertise.
â¨Tip Number 2
Prepare for those interviews! Research the company and their projects, especially in Generative AI. Be ready to discuss your past experiences and how they align with the role of Lead AI Engineer. Practice common interview questions to boost your confidence.
â¨Tip Number 3
Showcase your skills! Create a portfolio of your work, especially any LLM-based applications you've deployed. This will give you an edge and demonstrate your ability to deliver production-ready solutions.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, weâre always looking for talented individuals like you to join our team!
We think you need these skills to ace Lead AI Engineer
Some tips for your application đŤĄ
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Lead AI Engineer role. Highlight your software engineering expertise, especially in Python and deploying LLM-based applications, to catch our eye!
Showcase Your Leadership Skills: Since weâre looking for someone who can lead small teams and mentor others, donât forget to include examples of your leadership experience. Share how youâve owned solutions end-to-end and helped others grow in their roles.
Communicate Clearly: As a senior tech lead, strong communication is key! Make sure your application clearly conveys your experience in client-facing or consultancy settings. We want to see how you can effectively engage with clients and team members alike.
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for this exciting opportunity at the forefront of applied AI!
How to prepare for a job interview at Harnham
â¨Know Your Tech Inside Out
Make sure youâre well-versed in the technologies mentioned in the job description, especially Python, microservices, and distributed systems. Brush up on your experience with LLM-based applications and be ready to discuss specific projects where you've deployed these solutions.
â¨Showcase Your Leadership Skills
Since the role involves leading small teams and mentoring engineers, prepare examples that highlight your leadership experience. Think of situations where youâve successfully guided a team through challenges or helped others grow their skills.
â¨Communicate Clearly and Confidently
As a strong communicator is essential for this role, practice articulating your thoughts clearly. Be prepared to explain complex AI concepts in simple terms, especially if you're discussing them with non-technical stakeholders.
â¨Prepare for Consultancy Scenarios
Given the consultancy-driven environment, think about how you would handle client interactions. Prepare for questions about how you would approach problem-solving in a client-facing role and be ready to share examples of past experiences in similar settings.
