Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; London; Remote; GBP 120,000 - 150,000; Full time

Job summary

JR United Kingdom, a rising US scale-up, is seeking a talented Forward Deployed Engineer to facilitate ML deployments for clients in the UK. This fully remote role emphasizes collaboration with customers to deliver optimised ML solutions, requiring exceptional communication skills and proven experience in backend software engineering. The company is rapidly expanding and offers competitive compensation and benefits.

Qualifications

• 5+ years Backend (Python) Software Engineering experience in a high-growth environment.
• Experience with ML model development and deployment lifecycle.
• Proven experience liaising effectively with customers.

Responsibilities

• Partner with customers to identify 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

Python

Machine Learning

Customer-Centric Mindset

Collaboration

Education

Computer Science degree or similar field of study

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Cloud platforms

Job description

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Forward Deployed Engineer - ML - Remote UK, London

Client: Few&Far

Location: London, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views: 3

Posted: 06.06.2025

Expiry Date: 21.07.2025

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 their challenges and develop ML-based deployment solutions.

You'll ensure 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.
• 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 customer-centric, product engineering mindset.

This role offers insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale.