Forward Deployed Engineer - Remote UK

JR United Kingdom; Hounslow; Remote; GBP 160,000; Full time

Job summary

A leading company in the machine learning sector seeks a Forward Deployed Engineer to collaborate with clients on ML deployment solutions. With a remote setup, this role offers profound insights into AI/ML challenges, aiming to enhance client outcomes while using cutting-edge technologies.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Experience with ML model lifecycle preferred.
• Excellent English communication skills with customers.

Responsibilities

• Partner with customers to identify and address ML deployment needs.
• Implement and optimise ML solutions using Python.
• Collaborate with cross-functional teams for product enhancement.

Skills

Problem Solving

Customer-Centric Mindset

Product Engineering

Python

Machine Learning

Education

Computer Science degree

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Job description

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Forward Deployed Engineer - Remote UK, south west london

Client: Few&Far

Location: south west london, United Kingdom

Job Category: Other

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EU work permit required:

Yes

Job Views:

9

Posted:

26.06.2025

Expiry Date:

10.08.2025

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