Forward Deployed Engineer - Remote UK

JR United Kingdom; Cambridge; Remote; GBP 130,000 - 160,000; Full time

Job summary

A leading company is looking for a Forward Deployed Engineer to help clients optimize their Machine Learning models. This fully remote role offers an exciting opportunity to work with cutting-edge technology and a talented team from renowned companies, making a significant impact in the AI/ML space.

Qualifications

• 5+ years Backend (Python) Software Engineering experience in a fast-paced environment.
• Experience with the lifecycle of ML model development & deployment.
• Proven experience liaising effectively with customers.

Responsibilities

• Partner with customers to identify and address their ML deployment needs.
• Implement and optimise ML solutions using Python and open-source tools.
• Collaborate with cross-functional teams to enhance product features.

Skills

Problem-solving

Communication

Customer-centric mindset

Education

Computer Science degree or similar field of study

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Cloud platforms

Job description

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Client:

Few&Far

Location:

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, through simplifying the deployment of Machine Learning models.

As they expand their global footprint, have raised Series C funding & 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 aspects like optimisation, scalability & 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 & 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 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.