Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Newcastle upon Tyne; Remote; GBP 120,000 - 150,000; Full time

Job summary

A leading tech scale-up in the UK is seeking a Forward Deployed Engineer to enhance Machine Learning model deployments. With significant growth following a Series C funding round, you'll work with a talented team from top tech companies like NVIDIA and Amazon, focusing on optimizing ML solutions for clients.

Qualifications

• 5+ years of Backend Software Engineering experience in a product environment.
• Experience with the lifecycle of ML model development & deployment is a plus.
• Excellent English communication skills and customer liaison experience.

Responsibilities

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

Skills

Python

Problem Solving

Communication

Education

Computer Science degree or similar

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

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Forward Deployed Engineer - ML - Remote UK, newcastle-upon-tyne, tyne and wear

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Client:

Few&Far

Location:

newcastle-upon-tyne, tyne and wear, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

6

Posted:

31.05.2025

Expiry Date:

15.07.2025

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Job Description:

?Fully Remote within the UK

? Up to £150k + 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, engineering ML-based deployment solutions.

You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability & 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 & 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
• 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