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 involvement in high-impact projects.
- Other info: Join a dynamic team and enhance your stakeholder management skills.
- Why this job: Work on cutting-edge technologies and make a real impact in the industry.
- Qualifications: Strong commercial background and deep technical capabilities required.
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 in London employer: Harnham
Harnham is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. Employees benefit from clear progression pathways, the opportunity to work on high-impact projects, and access to cutting-edge technologies, all within a supportive team culture that values professional growth and development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead AI Engineer — On‑Site, Client‑Facing AI & Analytics in London
✨Tip Number 1
Network like a pro! Get out there and connect with industry professionals on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your AI projects and analytics work. We want to see your problem-solving abilities in action, so make sure to include real-world examples that demonstrate your impact.
✨Tip Number 3
Prepare for those interviews! Research the company and its clients, and be ready to discuss how your experience aligns with their needs. We suggest practising common interview questions and even some technical challenges to show off your expertise.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lead AI Engineer — On‑Site, Client‑Facing AI & Analytics in London
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 everyone was aligned. This will highlight your effective communication skills and ability to work in a collaborative 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 strategies. 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 team culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.
