Forward Deployed Engineer - Remote UK

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

Job summary

A US scale-up is hiring a Forward Deployed Engineer to simplify ML model deployments for its clients in the UK. This fully remote role offers an opportunity to collaborate with top tech talents and work on cutting-edge AI solutions, requiring strong Python skills and a background in computer science.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Experience or interest in ML model development and deployment lifecycle.
• Proven customer liaising skills.

Responsibilities

• Partner with customers to identify ML deployment needs.
• Implement and optimise ML solutions using Python and tools.
• Collaborate with teams to enhance features based on feedback.

Skills

Python

Problem-Solving

Communication

Customer-Centric Mindset

Education

Computer Science degree or similar field of study

Tools

Kubernetes

Docker

PyTorch

TensorFlow

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

Cardiff, 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, raise Series C funding, and grow 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 that have joined 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 (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.