Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Stevenage; Remote; GBP 100,000 - 150,000; Full time

Job summary

Join a leading US scale-up as a Forward Deployed Engineer in a fully remote role, collaborating with high-profile companies like NVIDIA and Amazon. This position focuses on engineering ML-based deployment solutions to ensure optimal outcomes for clients, requiring extensive experience in backend Python development and a computer science degree.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience in a fast-paced environment.
• Interest or experience with the lifecycle of ML model development and deployment.
• Excellent English communication skills and problem-solving mindset.

Responsibilities

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

Skills

Python

Machine Learning

Problem Solving

Communication

Education

Computer Science degree or similar

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:

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 by simplifying the deployment of Machine Learning models.

As they expand globally, raised 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 ensure clients achieve optimal outcomes with their models, focusing on optimisation, scalability, and efficiency.

You’ll 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 environment
• 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 and engineers
• Strong problem-solving skills and a customer-centric, product engineering mindset

This role offers insights into the opportunities and challenges of implementing AI/ML solutions at scale.