Forward Deployed Engineer - ML - Remote UK

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

Job summary

Join an ambitious US scale-up as a Forward Deployed Engineer in the UK, specializing in Machine Learning deployments. Work collaboratively with clients to engineer optimal ML solutions, leveraging your expertise in Python and related technologies in a remote-first environment that rewards innovation and teamwork.

Qualifications

• 5+ years of Backend (Python) Software Engineering experience.
• Experience with ML model development and deployment lifecycle.
• Strong communication skills for liaising 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

Python

ML deployment

Problem-solving

Education

Computer Science degree

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

liverpool, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

9

Posted:

06.06.2025

Expiry Date:

21.07.2025

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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, through 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 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 & 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.
• 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.