Forward Deployed Engineer - ML - Remote UK

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

Job summary

Join a US scale-up as a Forward Deployed Engineer, fully remote in the UK. You'll empower Engineering teams by delivering Machine Learning model deployment solutions, working with cutting-edge technologies like Python and Kubernetes. This role offers competitive pay up to £150K, plus stock options and benefits.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Interest or experience in ML model lifecycle.
• Proven experience liaising effectively with customers.

Responsibilities

• Partner with customers to identify 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 field of study

Tools

Python

PyTorch

Tensorflow

Kubernetes

Docker

Cloud platforms

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:

5

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