Forward Deployed Engineer - Remote UK

JR United Kingdom; Plymouth; Remote; GBP 136,000 - 160,000; Full time

Job summary

A leading company in the UK is looking for a Forward Deployed Engineer to collaborate with clients on Machine Learning solutions. This fully remote position involves optimizing and deploying ML models effectively while working in a dynamic team environment. The ideal candidate will have extensive experience in software engineering and strong communication skills, ready to take on challenges in the evolving field of AI/ML.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience required.
• Some experience with ML model development & deployment.
• Proven experience liaising effectively with customers.

Responsibilities

• Partner with customers to identify and address ML deployment needs.
• Implement and optimise ML solutions using Python and open-source tools.
• Collaborate with teams to enhance product features based on client feedback.

Skills

Problem Solving

Communication

Customer-Centric Mindset

Education

Computer Science degree or similar

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Job description

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Forward Deployed Engineer - Remote UK, Plymouth

Client: Few&Far

Location: Plymouth, 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, through simplifying the deployment of Machine Learning models.

As they expand their global footprint, raised Series C funding & 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, & efficiency.

Key Responsibilities

• Partner with customers to identify and address their ML deployment needs.
• Implement and optimise ML solutions using Python, open-source tools & infrastructure.
• Collaborate with cross-functional teams to enhance product features, based on client feedback.
• Work with Python, PyTorch, TensorFlow, Kubernetes, Docker & 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 & 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.