Forward Deployed Engineer - Remote UK

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

Job summary

A leading tech scale-up seeks a Forward Deployed Engineer to empower engineering teams through effective ML deployment solutions. The role, fully remote within the UK, involves collaboration with clients and cross-functional teams to optimize ML models, offering a competitive salary of up to £160k plus benefits.

Qualifications

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

Responsibilities

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

Skills

Python

Machine Learning

Problem Solving

Communication

Education

Computer Science degree

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

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Client:

Few&Far

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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, through simplifying the deployment of Machine Learning models.

As they expand their global footprint, raise 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.

You’ll 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 implementing AI/ML solutions at scale and is ideal for Entrepreneurial Engineers.