Forward Deployed Engineer - Remote UK

JR United Kingdom; Lincoln; Remote; GBP 100,000 - 160,000; Full time

Job summary

Join a rapidly growing US scale-up as a Forward Deployed Engineer to enhance ML deployment solutions. Work remotely within the UK and be part of a high-achieving team previously from top tech firms. Ideal for entrepreneurial engineers eager to tackle real-world challenges in ML at scale.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Interest in ML model development and deployment lifecycle.
• Proven communication skills with clients.

Responsibilities

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

Skills

Python

Problem Solving

Communication

Education

Computer Science degree or similar field of study

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

Lincoln, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

11

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, raised Series C funding, and 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, and 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, 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: 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.