Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Chester; Remote; GBP 150,000 - 180,000; Full time

Job summary

A leading US scale-up is seeking a Forward Deployed Engineer in the UK to empower Engineering teams by simplifying Machine Learning deployments. The successful candidate will have a strong backend engineering background, collaborating directly with clients to improve their ML model outcomes and driving optimisation, scalability, and efficiency.

Qualifications

• 5+ years of Backend Python Software Engineering experience.
• Interest in ML model development and deployment preferred.
• Excellent communication with clients, particularly Software Engineers or ML Engineers.

Responsibilities

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

Skills

Backend Software Engineering

Python

Machine Learning

Open-source tools

Optimisation

Scalability

Problem-solving

Communication

Education

Computer Science degree or similar

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Cloud platforms

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

Chester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

12

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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 by simplifying the deployment of Machine Learning models.

As they expand their global footprint, raise Series C funding, and grow 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.

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
• 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 proven customer-centric, Product Engineering mindset

This role provides insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale.