Forward Deployed Engineer - Remote UK

JR United Kingdom; Doncaster; Remote; GBP 120,000 - 160,000; Full time

Job summary

A leading US scale-up is seeking a Forward Deployed Engineer in the UK to empower engineering teams in machine learning solutions. This role emphasizes collaboration with customers to optimize and deploy machine learning models, offering a chance to work with top-tier talent from companies like NVIDIA and Amazon.

Benefits

Stock options

Comprehensive benefits package

Qualifications

• 5+ years in backend Python engineering.
• Familiarity with ML lifecycle preferred.
• Strong English communication skills.

Responsibilities

• Collaborate with customers for ML deployment needs.
• Implement ML solutions with Python and open-source tools.
• Enhance product features based on feedback.

Skills

Python

ML deployment

Problem-solving

Customer-centric mindset

Education

Computer Science degree or similar field

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

doncaster, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

9

Posted:

16.06.2025

Expiry Date:

31.07.2025

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Job Description:

Fully Remote within the UK

Up to £160k + 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 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 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, ideally as a Co-Founder or Founding Engineer.
• 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 and is ideal for Entrepreneurial Engineers.