Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Collaborate with customers to engineer ML deployment solutions and optimise their models.
- Company: Join a fast-growing US scale-up empowering engineering teams in the AI/ML space.
- Benefits: Enjoy a fully remote role, competitive salary, stock options, and great perks.
- Why this job: Be part of an innovative team working with top tech companies and shaping the future of ML.
- Qualifications: 5+ years in Backend Python Software Engineering; interest in ML model development is a plus.
- Other info: Gain insights into AI/ML challenges while working with leading industry players.
The predicted salary is between 43200 - 72000 £ per year.
Fully Remote within the UK
Up to £150k + Stock + Benefits
Join a US scale-up on a mission to empower Engineering teams to deliver their best work by simplifying the deployment of Machine Learning models. As they expand their global footprint, raise Series C funding, and grow over 30% in 3 months, they’re seeking a talented Forward Deployed Engineer to join the UK team!
About the Role
As a Forward Deployed Engineer, you will collaborate directly with customers to understand challenges and engineer ML-based deployment solutions. You will be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability, and efficiency.
Work alongside teams from companies like NVIDIA, Amazon, Datadog, Vercel, Meta, GitHub, and Uber.
Key Responsibilities
- Partner with customers to identify and address their ML deployment needs
- Implement and optimise ML solutions using Python, open-source tools, and infrastructure
- Collaborate with cross-functional teams to enhance product features based on client feedback
- Work with Python, PyTorch, TensorFlow, Kubernetes, Docker, and cloud platforms
Ideal Candidates have:
- 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth, product environment
- Some interest or experience with the lifecycle of ML model development and deployment
- Computer Science degree or similar
- Excellent English communication skills: proven experience liaising effectively with customers (other Software Engineers or ML Engineers)
- Strong problem-solving skills and a proven customer-centric, Product Engineering mindset
This role provides insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale.
Forward Deployed Engineer - ML - Remote UK employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Forward Deployed Engineer - ML - Remote UK
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, PyTorch, TensorFlow, Kubernetes, and Docker. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Research the company and its mission to empower engineering teams. Understanding their goals and how they approach ML deployment will help you tailor your conversations and demonstrate your genuine interest in their work.
✨Tip Number 3
Prepare to discuss real-world examples of how you've solved complex problems in previous roles, especially those related to ML deployment. This will showcase your problem-solving skills and customer-centric mindset effectively.
✨Tip Number 4
Network with professionals in the field, particularly those who have experience with companies like NVIDIA, Amazon, or Uber. Engaging with them can provide insights into the role and potentially lead to referrals.
We think you need these skills to ace Forward Deployed Engineer - ML - Remote UK
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Backend Software Engineering, particularly with Python. Emphasise any work you've done with ML model development and deployment, as well as your problem-solving skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to collaborate with customers and implement ML solutions effectively.
Showcase Technical Skills: Clearly outline your technical skills related to Python, PyTorch, TensorFlow, Kubernetes, and Docker. Provide examples of how you've used these technologies in past roles to solve problems or improve processes.
Highlight Communication Abilities: Since excellent communication skills are crucial for this role, include examples of how you've successfully liaised with clients or cross-functional teams in previous positions. This will show your customer-centric approach.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, ML frameworks like PyTorch and TensorFlow, and containerisation tools such as Docker and Kubernetes. Highlight specific projects where you've successfully implemented ML solutions.
✨Understand the Client's Needs
Research the company and its clients to understand their challenges in ML deployment. Be ready to discuss how you can address these needs and improve their outcomes with your engineering solutions.
✨Demonstrate Problem-Solving Abilities
Prepare examples of past challenges you've faced in software engineering or ML deployment. Explain your thought process and how you arrived at effective solutions, showcasing your customer-centric approach.
✨Communicate Clearly and Effectively
Since this role involves liaising with clients, practice articulating complex technical concepts in simple terms. Good communication skills are essential, so ensure you convey your ideas clearly during the interview.
