At a Glance
- Tasks: Design and implement AI solutions while engaging directly with clients.
- Company: Join a well-funded AI logistics platform transforming global supply chains.
- Benefits: Competitive salary, equity options, and opportunities for professional growth.
- Other info: Dynamic role with significant client interaction and career advancement potential.
- Why this job: Make a real impact in a fast-paced environment with cutting-edge technology.
- Qualifications: Experience in Python backend development and strong communication skills.
The predicted salary is between 36000 - 60000 € per year.
This role combines deep Python backend and ML expertise with direct customer engagement. You will partner with clients to design, implement and troubleshoot AI-powered solutions ensuring seamless integration and optimal performance of our platform. Act as a technical liaison solving complex engineering challenges and delivering tailored features to meet unique business needs within a fast‑paced environment.
Why this role is remarkable
- Lead client-facing technical problem-solving for an AI platform impacting global supply chains.
- Join a well-funded fast‑growing AI platform backed by top‑tier VCs transforming a critical industry.
- Thrive in a dynamic environment balancing deep technical ML work with direct customer interaction and significant growth.
What you will do
- Partner closely with the Machine Learning team to design and implement scalable solutions for customers.
- Work directly with clients to gather requirements, provide technical guidance and support platform integration.
- Troubleshoot and resolve complex technical issues acting as the technical liaison between customers and the engineering team.
The ideal candidate
- Proven experience in Python-based backend development especially with ML production systems.
- Demonstrated ability to deliver technical solutions and guidance to clients in professional services or consulting.
- Strong communication skills comfortable conveying complex technical concepts to both technical and non‑technical stakeholders.
Key Skills
- Shipping & Receiving
- Inventory Control
- Data Entry
- AS400
- Transportation Management Systems
- EDI
- Microsoft Outlook
- Warehouse Experience
- Office Experience
- Dispatching
- Microsoft Excel
- Logistics
How to Apply
To apply for this job speak to Jack our AI recruiter. Visit our website. Click "Speak with Jack". Login with your LinkedIn profile. Talk to Jack for 20 minutes so he can understand your experience and ambitions. If the hiring manager would like to meet you, Jack will make the introduction.
Employment Type: Full-Time
Department / Functional Area: Engineering
Experience: Years
Vacancy: 1
Forward Deployed Engineer, ML Backend (Competitive + Equity) at Well-funded AI logistics platform in London employer: Jack & Jill/External Ats
Join a well-funded AI logistics platform in London, where innovation meets opportunity. Our dynamic work culture fosters collaboration and growth, allowing you to engage directly with clients while tackling complex engineering challenges. With competitive compensation and equity options, we empower our employees to thrive in a fast-paced environment that is transforming global supply chains.
StudySmarter Expert Advice🤫
We think this is how you could land Forward Deployed Engineer, ML Backend (Competitive + Equity) at Well-funded AI logistics platform in London
✨Tip Number 1
Get to know the company inside out! Research their AI logistics platform, understand their mission, and be ready to discuss how your skills can help them achieve their goals. This will show that you're genuinely interested and prepared.
✨Tip Number 2
When you chat with Jack, don’t just list your experience—share specific examples of how you've tackled complex engineering challenges in the past. This will help him see how you can fit into their fast-paced environment.
✨Tip Number 3
Practice explaining technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so being able to break things down is key!
✨Tip Number 4
Finally, don’t forget to follow up after your chat with Jack! A quick thank-you message can go a long way in keeping you top of mind as they move forward in the hiring process.
We think you need these skills to ace Forward Deployed Engineer, ML Backend (Competitive + Equity) at Well-funded AI logistics platform in London
Some tips for your application 🫡
Show Off Your Python Skills:Make sure to highlight your experience with Python backend development in your application. We want to see how you've tackled ML production systems and any cool projects you've worked on that showcase your skills.
Client Engagement is Key:Since this role involves direct customer interaction, share examples of how you've successfully communicated complex technical concepts to clients. We love seeing candidates who can bridge the gap between tech and non-tech folks!
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect the specific requirements of the Forward Deployed Engineer role. We appreciate when candidates take the time to connect their experiences with what we’re looking for.
Apply Through Our Website:We encourage you to apply through our website by chatting with Jack, our AI recruiter. It’s a great way for us to get to know you better and for you to ask any questions about the role or the company!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you brush up on your Python backend skills and ML concepts. Be ready to discuss specific projects you've worked on, especially those involving AI solutions. This will show that you can not only talk the talk but also walk the walk when it comes to technical problem-solving.
✨Understand the Client's Needs
Since this role involves direct customer engagement, do some research on the company’s clients and their industries. Think about how your technical expertise can solve their unique challenges. Being able to articulate this during the interview will set you apart.
✨Practice Your Communication Skills
You’ll need to explain complex technical concepts to both technical and non-technical stakeholders. Practise simplifying your explanations and consider using analogies. This will help demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Problem-Solving Scenarios
Expect to face some technical challenges during the interview. Prepare by thinking through common issues in ML production systems and how you would troubleshoot them. Showing your thought process will highlight your analytical skills and readiness for the role.
