Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Chesterfield; Remote; GBP 120,000 - 150,000; Full time

Job summary

A pioneering US scale-up seeks a Forward Deployed Engineer to empower Engineering teams by delivering Machine Learning deployment solutions. This fully remote role offers a competitive salary up to £150k alongside stock options and benefits, focusing on optimization, scalability, and efficiency in ML model deployment.

Benefits

Stock options

Benefits package

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Interest or experience with ML model development.
• Excellent communication skills for liaising with customers.

Responsibilities

• Partner with customers to identify and address ML deployment needs.
• Implement and optimize ML solutions using Python.
• Collaborate with teams to enhance product features based on client feedback.

Skills

Python

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:

chesterfield, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

13

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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, have raised Series C funding, and 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 engineer ML-based deployment solutions.

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

You’ll work alongside teams that have joined from world-class tech 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 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.