Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape and deliver AI solutions directly in client operations.
- Company: Harnham, a leader in AI and analytics with a collaborative culture.
- Benefits: Clear progression pathways and exposure to cutting-edge technologies.
- Other info: Join a dynamic team with excellent career growth opportunities.
- Why this job: Make a real impact on high-stakes projects while working with top-tier clients.
- Qualifications: Strong commercial background and deep technical skills in AI and data science.
The predicted salary is between 70000 - 90000 £ per year.
Harnham is seeking a professional to shape and deliver digital solutions in London. The role involves applying AI, data science, and advanced analytics directly in client operations.
Successful candidates will have a strong commercial background, deep technical capabilities, and effective stakeholder management skills.
The position offers clear progression pathways and involvement in high-impact projects, along with a collaborative team culture and exposure to the latest technologies.
Lead AI Engineer — On‑Site, Client‑Facing AI & Analytics employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Engineer — On‑Site, Client‑Facing AI & Analytics
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and analytics space. Attend meetups, webinars, or industry events to meet potential employers and showcase your skills.
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your best work in AI and data science. This will give you an edge when discussing your experience with stakeholders during interviews.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your technical knowledge and be ready to discuss how you've applied AI solutions in real-world scenarios. Practice makes perfect!
✨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 great way to get noticed by our hiring team.
We think you need these skills to ace Lead AI Engineer — On‑Site, Client‑Facing AI & Analytics
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 commercial background and technical capabilities, as these are key for us at Harnham.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you’re the perfect fit for this position. Share specific examples of how you've applied AI and analytics in client-facing roles, and don’t forget to mention your stakeholder management skills!
Showcase Your Projects: If you've worked on high-impact projects, make sure to include them in your application. We love seeing real-world applications of AI and data science, so give us the details on what you did and the results achieved.
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 shows us you’re keen to join our collaborative team culture!
How to prepare for a job interview at Harnham
✨Know Your AI Inside Out
Make sure you brush up on the latest trends and technologies in AI and data science. Be prepared to discuss how you've applied these in previous roles, especially in client-facing situations. This will show your deep technical capabilities and commercial awareness.
✨Showcase Your Stakeholder Management Skills
Think of specific examples where you've successfully managed stakeholders or collaborated with teams. Prepare to discuss how you navigated challenges and ensured client satisfaction. This will highlight your ability to work effectively in a collaborative team culture.
✨Prepare for Scenario-Based Questions
Expect questions that ask how you would handle real-world problems in client operations. Practice articulating your thought process and decision-making skills. This will demonstrate your problem-solving abilities and readiness for high-impact projects.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to AI and analytics, as well as their progression pathways. This shows your genuine interest in the role and helps you assess if it's the right fit for you.