Forward Deployed Engineer - Remote UK

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

Job summary

A US scale-up is seeking a Forward Deployed Engineer to join their UK team, focusing on Machine Learning deployment solutions. With responsibilities ranging from collaborating with customers to optimizing solutions, this role is ideal for engineers passionate about AI/ML implementation at scale.

Benefits

Stock options

Benefits package

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Interest in ML model development and deployment.
• Excellent English communication skills.

Responsibilities

• Partner with customers to address their ML deployment needs.
• Implement and optimize ML solutions.
• Collaborate with teams to enhance product features.

Skills

Backend (Python)

Machine Learning

Problem Solving

Communication

Education

Computer Science degree or similar field

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

maidstone, 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, 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 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 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, 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 with proven experience liaising effectively with customers, software engineers, or ML engineers
• Strong problem-solving skills and a customer-centric, product engineering mindset

This role offers insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale. It is ideal for entrepreneurial engineers.