Forward Deployed Engineer - ML - Remote UK

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

Job summary

A leading US scale-up seeks a Forward Deployed Engineer in the UK to empower engineering teams by simplifying the deployment of Machine Learning models. This fully remote position offers a competitive salary of up to £150k, stock options, and the opportunity to work alongside world-class tech partners. Ideal candidates will have over 5 years of experience in Backend Python development and a strong understanding of ML model lifecycles, with excellent communication skills for client interaction.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience in a fast-paced environment.
• Interest or experience in ML model development and deployment.
• Excellent English communication skills for customer interaction.

Responsibilities

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

Skills

Python

Machine Learning

Problem Solving

Education

Computer Science degree

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

Bolton, Greater Manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

7

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 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 engineering 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 from world-class tech 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
• 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 customer-centric, Product Engineering mindset

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