Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Brighton; Remote; GBP 130,000 - 150,000; Full time

Job summary

A leading company on a mission to empower Engineering teams is seeking a Forward Deployed Engineer to join their UK team. This fully remote role involves collaborating with clients to develop Machine Learning deployment solutions, focusing on optimization and efficiency. The ideal candidate has a strong Backend Engineering background, particularly in Python, and excellent communication skills.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience in a fast-paced, high-growth environment.
• Interest or experience in ML model lifecycle.
• Ability to communicate effectively with customers and cross-functional teams.

Responsibilities

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

Skills

Backend Software Engineering

Python

Machine Learning

Problem-solving

Communication

Education

Computer Science degree or similar field

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

Brighton, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

13

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, have raised Series C funding, and 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 develop ML-based deployment solutions.

You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimization, 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 optimize 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 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 insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale.