Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Sheffield; Remote; GBP 100,000 - 150,000; Full time

Job summary

A leading company in the AI/ML sector seeks a Forward Deployed Engineer to work fully remote in the UK. The role involves collaborating with clients to deploy ML solutions and improve model efficiency. Ideal candidates should possess significant Python engineering experience and strong communication skills, making an impact in a high-growth environment.

Benefits

Stock options

Comprehensive benefits package

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Experience in ML model development and deployment is a plus.
• Excellent English communication skills.

Responsibilities

• Partner with customers to meet their ML deployment needs.
• Implement and optimise ML solutions using Python.
• Collaborate with teams to enhance product features.

Skills

Python

Problem-solving

Communication

Education

Computer Science degree or similar

Tools

TensorFlow

PyTorch

Docker

Kubernetes

Job description

Social network you want to login/join with:

Forward Deployed Engineer - ML - Remote UK, Sheffield, South Yorkshire

Client: Few&Far

Location: Sheffield, South Yorkshire, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 6

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, 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 aspects like optimisation, scalability, and efficiency.

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.
• 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 and 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.