Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Hemel Hempstead; Remote; GBP 110,000 - 150,000; Full time

Job summary

A leading tech scale-up is seeking a Forward Deployed Engineer to join their UK team. This fully remote role emphasizes collaboration with clients to implement and optimize Machine Learning deployment solutions. Ideal candidates will have strong Python skills, a Computer Science degree, and a customer-focused mindset.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Experience with ML lifecycle and deployment.
• Strong problem-solving and customer-centric mindset.

Responsibilities

• Collaborate with customers to address ML deployment needs.
• Implement and optimise ML solutions using Python.
• Enhance product features based on client feedback.

Skills

Python

ML deployment

Problem Solving

Communication

Education

Computer Science degree

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

hemel hempstead, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

6

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

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, through simplifying the deployment of Machine Learning models.

As they expand their global footprint, raised Series C funding & have grown 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'll collaborate directly with customers to understand challenges and develop ML-based deployment solutions.

You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability, and efficiency.

You’ll work alongside teams that have joined from world-class tech businesses 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 field of study.
• 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 a view into the opportunities and challenges companies face implementing AI/ML solutions at scale.