Forward Deployed Engineer - Remote UK

JR United Kingdom; Greater Manchester; Remote; GBP 120,000 - 160,000; Full time

Job summary

A leading company is seeking a Forward Deployed Engineer to join their UK team. This remote role offers an exciting opportunity to work with customers on optimizing ML-based deployment solutions, drawing upon your software engineering experience in a fast-paced environment. Join a high-growth team with renowned industry professionals.

Qualifications

• 5+ years of experience in Backend (Python) Software Engineering.
• Interest or experience with ML model lifecycle.
• Excellent English communication skills with a customer focus.

Responsibilities

• Partner with customers to identify ML deployment needs.
• Implement and optimise ML solutions using Python.
• Collaborate with cross-functional teams based on client feedback.

Skills

Python

ML model deployment

Problem-solving

Customer-centric mindset

Education

Computer Science degree or similar field

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:

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

14

Posted:

14.06.2025

Expiry Date:

29.07.2025

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Job Description:

Fully Remote within the UK

Up to £160k + 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, 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 be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimisation, scalability, and 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, 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, ideally as a Co-Founder or Founding Engineer.
• 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 proven customer-centric, Product Engineering mindset.

This role provides a view into the opportunities and challenges companies face implementing AI/ML solutions at scale and is ideal for Entrepreneurial Engineers.