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For Companies At a Glance
- Tasks: Lead the development of AI solutions and drive innovative projects.
- Company: Forward-thinking tech firm focused on AI advancements.
- Benefits: Attractive salary, flexible hours, remote work options, and continuous learning opportunities.
- Why this job: Join a team shaping the future of AI and make a significant impact.
- Qualifications: Strong background in AI technologies and leadership experience.
- Other info: Fast-paced environment with immense potential for career advancement.
The predicted salary is between 43200 - 72000 £ per year.
The Role:
A well‑known brand in the UK is building an AI team in 2026, starting with 4x AI Engineers (1x mid‑level, 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 business‑wide 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 – mentoring junior members of the team
- Innovation is a key part of this role
In this role you can earn between £130,000 – £140,000 + benefits (including a 20% bonus OTE)
The Process:
- Virtual Interview
- Virtual (technical) interview
- In‑person 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 🤫
We think this is how you could land Lead AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the AI field on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that Lead AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects and contributions. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on common AI engineering questions and be ready to discuss your problem-solving approach. We believe that confidence and preparation can really set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate individuals ready to take on the challenges of AI engineering.
We think you need these skills to ace Lead AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead AI Engineer role. Highlight your relevant experience and skills that match the job description. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI and how your background makes you the perfect fit for StudySmarter. Keep it engaging and personal!
Showcase Your Projects: If you've worked on any cool AI projects, don’t forget to mention them! We love seeing real examples of your work, so include links or descriptions that demonstrate your expertise and creativity.
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 the role. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your AI Stuff
Make sure you brush up on the latest trends and technologies in AI. Be ready to discuss your previous projects, the algorithms you've worked with, and how you've applied them in real-world scenarios. This shows you're not just knowledgeable but also passionate about the field.
✨Showcase Problem-Solving Skills
Prepare for technical questions that test your problem-solving abilities. Practice coding challenges or case studies related to AI. Being able to think on your feet and demonstrate your thought process can really impress the interviewers.
✨Cultural Fit Matters
Research the company’s culture and values. Think about how your personal values align with theirs. During the interview, share examples of how you've contributed to team dynamics in the past. This helps them see you as a good fit for their team.
✨Ask Smart Questions
Prepare insightful questions to ask at the end of the interview. This could be about the company's future AI projects or how they measure success in this role. It shows your genuine interest and helps you assess if the company is the right place for you.
