Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Doncaster; Remote; GBP 120,000 - 150,000; Full time

Job summary

A leading US scale-up is hiring a Forward Deployed Engineer in the UK. The role involves collaborating with clients to deploy ML solutions, optimizing processes, and enhancing product features, with a competitive salary and benefits. Ideal candidates should have extensive Python experience and a strong problem-solving mindset, interacting closely with customers to achieve optimal outcomes.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Interest in the lifecycle of 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

Python

Machine Learning

Problem Solving

Communication

Education

Computer Science degree or similar field

Tools

Kubernetes

Docker

PyTorch

TensorFlow

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

doncaster, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

13

Posted:

09.06.2025

Expiry Date:

24.07.2025

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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 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.

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.