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Forward Deployed Engineer - Remote UK

JR United Kingdom

Shrewsbury

Remote

GBP 120,000 - 160,000

Full time

3 days ago
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Job summary

A US scale-up is seeking a Forward Deployed Engineer to enhance their global footprint in machine learning deployment. In this fully remote role, you will collaborate with clients to resolve ML model challenges and implement optimised solutions using your backend engineering expertise.

Benefits

Stock options
Benefits package

Qualifications

  • 5+ years of Backend (Python) Software Engineering experience.
  • Experienced in ML model development & deployment lifecycle.
  • Proven effective communication with customers.

Responsibilities

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

Skills

Python
ML model development
Problem-solving
Communication
Collaboration

Education

Computer Science degree or similar

Tools

PyTorch
TensorFlow
Kubernetes
Docker
Cloud platforms

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

shrewsbury, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

8

Posted:

16.06.2025

Expiry Date:

31.07.2025

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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 & 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.

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 & 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, ideally as a Co-Founder or Founding Engineer
  • Some interest or experience with the lifecycle of ML model development & 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 and is ideal for Entrepreneurial Engineers.

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