Forward Deployed Engineer - Remote UK

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

Job summary

A leading US scale-up seeks a Forward Deployed Engineer to enhance ML model deployment for clients in the UK. This fully remote role demands strong Python expertise, collaboration with high-profile tech companies, and excellent communication skills. Ideal for experienced engineers who thrive in entrepreneurial settings.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience
• Interest or experience with ML model development and deployment
• Excellent English communication skills

Responsibilities

• Partner with customers to address ML deployment needs
• Implement and optimise ML solutions using Python and open-source tools
• Collaborate with 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

Social network you want to login/join with:

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Client:

Few&Far

Location:

Manchester, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

15

Posted:

26.06.2025

Expiry Date:

10.08.2025

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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 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 engineer ML-based deployment solutions.

You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on 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, 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 with proven experience liaising effectively with customers, including 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 and is ideal for Entrepreneurial Engineers.