Forward Deployed Engineer - Remote UK

JR United Kingdom; Preston; Remote; GBP 130,000 - 160,000; Full time

Job summary

A leading engineering firm is seeking a Forward Deployed Engineer to enhance machine learning deployments for clients. This remote role requires significant experience in backend software engineering and involves direct collaboration with clients to understand and solve deployment challenges effectively.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Experience with ML model development & deployment.
• Excellent English communication skills.

Responsibilities

• Collaborate with customers to identify ML deployment needs.
• Implement and optimize ML solutions using Python and tools.
• Enhance product features based on client feedback.

Skills

Problem-solving

Customer-centric mindset

Python

Machine Learning

Collaboration

Education

Computer Science degree or similar field

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Cloud platforms

Job description

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Forward Deployed Engineer - Remote UK, Preston, Lancashire

Client: Few&Far

Location: Preston, Lancashire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 6

Posted: 16.06.2025

Expiry Date: 31.07.2025

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 & 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 develop ML-based deployment solutions.

You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on 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, ideally as a Co-Founder or Founding Engineer.
• 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 and is ideal for Entrepreneurial Engineers.