Forward Deployed Engineer - Remote UK

JR United Kingdom; Slough; Remote; GBP 150,000; Full time

Job summary

A leading technology company seeks a Forward Deployed Engineer to enhance the deployment of Machine Learning models. The role requires collaboration with clients, focusing on ensuring optimal outcomes through the implementation of scalable ML solutions. Ideal candidates should have a background in Python and experience in a high-growth environment.

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

Skills

Python

Problem Solving

Communication

Education

Computer Science degree or similar field of study

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

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Forward Deployed Engineer - ML - Remote UK, Slough

Client: Few&Far

Location: Slough, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 2

Posted: 31.05.2025

Expiry Date: 15.07.2025

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 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 & efficiency.

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.