Forward Deployed Engineer - ML - Remote UK

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

Job summary

Join a forward-thinking US scale-up as a Forward Deployed Engineer, where you will drive the optimal deployment of Machine Learning solutions. With a fully remote role, you'll collaborate with clients and enhance their models while leveraging advanced technologies like Python, Kubernetes, and TensorFlow. Ideal for those passionate about ML challenges and customer engagement.

Qualifications

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

Responsibilities

• Identify and address ML deployment needs.
• Implement and optimise ML solutions.
• Collaborate with cross-functional teams.

Skills

Python

Problem Solving

Customer Liaison

Education

Computer Science Degree or Similar

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

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Forward Deployed Engineer - ML - Remote UK, Warrington, Cheshire

Client: Few&Far

Location: Remote within the UK

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 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 develop 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 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
• Some interest or experience with the lifecycle of ML model development and deployment
• Computer Science degree or similar
• Excellent English communication skills: 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 insights into the opportunities and challenges companies face when implementing AI/ML solutions at scale.