Forward Deployed Engineer - Remote UK

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

Job summary

A leading company is seeking a skilled Forward Deployed Engineer to empower engineering teams in deploying Machine Learning models. This fully remote role offers a competitive salary of up to £160k plus stock and benefits, allowing candidates to influence AI/ML deployment at scale while engaging with major tech partners.

Qualifications

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

Responsibilities

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

Skills

Python

ML model development

Problem-solving

Communication

Education

Computer Science degree

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Few&Far

Location:

wakefield, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

9

Posted:

16.06.2025

Expiry Date:

31.07.2025

col-wide

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 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'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 optimization, 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 optimize 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 customer-centric, Product Engineering mindset.

This role offers insights into the opportunities and challenges of implementing AI/ML solutions at scale and is ideal for Entrepreneurial Engineers.