Forward Deployed Engineer - Remote UK

JR United Kingdom; London; Remote; GBP 130,000 - 160,000; Full time

Job summary

Join a US scale-up as a Forward Deployed Engineer fully remote from the UK. Engage with customers to deliver machine learning solutions, drawing on your extensive software engineering experience. This role offers the chance to work with major tech businesses implementing AI/ML solutions at scale.

Benefits

Stock options

Benefits package

Qualifications

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

Responsibilities

• Identify and address customer ML deployment needs.
• Implement and optimise ML solutions.
• Collaborate on product features based on client feedback.

Skills

Python

ML model development

Problem-solving

Communication

Education

Computer Science degree

Tools

Docker

Kubernetes

PyTorch

TensorFlow

Job description

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Forward Deployed Engineer - Remote UK, West London

Client: Few&Far

Location: West London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

9

Posted:

16.06.2025

Expiry Date:

31.07.2025

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, raised 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 aspects like optimisation, scalability, and efficiency.

Team Background

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, 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 when implementing AI/ML solutions at scale and is ideal for Entrepreneurial Engineers.