Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the development of AI solutions and enhance client relationships.
- Company: Cutting-edge tech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, hybrid work, and professional growth opportunities.
- Other info: Join a dynamic team and grow your career in a thriving environment.
- Why this job: Shape the future of AI in supply chains and make a real impact.
- Qualifications: Strong Python skills and 2+ years of experience in AI.
The predicted salary is between 50000 - 60000 £ per year.
A cutting-edge technology company based in Greater London is seeking Forward Deployed Engineers to join their team and lead the development of AI-based solutions for supply chains. In this role, you will enhance client relationships, analyze data sets, and shape product features to drive success.
The ideal candidate will have a strong background in Python, at least 2 years of experience, and a passion for AI. This position offers a competitive salary, hybrid working environment, and opportunities for professional growth.
Client‑Facing AI Engineer — Enterprise Systems, Hybrid London employer: Magentic
Contact Detail:
Magentic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Client‑Facing AI Engineer — Enterprise Systems, Hybrid London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects or any relevant work you've done. This gives you a chance to demonstrate your expertise beyond what's on paper.
✨Tip Number 3
Prepare for those interviews! Research the company and its products, especially how they use AI in supply chains. Tailor your answers to show how your experience aligns with their needs.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Client‑Facing AI Engineer — Enterprise Systems, Hybrid London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI shine through! Share any projects or experiences that highlight your love for technology and how it can transform supply chains.
Highlight Relevant Experience: Make sure to emphasise your background in Python and any relevant work experience. We want to see how your skills align with the role, so don’t hold back on showcasing your achievements!
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Client-Facing AI Engineer role. This shows us you’re genuinely interested in joining our team.
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 in a hybrid working environment!
How to prepare for a job interview at Magentic
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies and their applications in supply chains. Be ready to discuss specific projects you've worked on, especially those involving Python, as this will show your technical prowess and passion for the field.
✨Understand the Client's Needs
Research the company and its clients before the interview. Understand their challenges and how AI can solve them. This will help you demonstrate your ability to enhance client relationships and tailor solutions to their needs.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex problems in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers, highlighting your analytical skills and how they relate to developing AI-based solutions.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the team dynamics, ongoing projects, or future developments in AI within the company. This shows your genuine interest and helps you assess if the role is a good fit for you.