Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Reading; Remote; GBP 100,000 - 150,000; Full time

Job summary

A leading US scale-up is looking for a Forward Deployed Engineer to join their UK team. This fully remote role involves working closely with clients to deliver optimal ML-based deployment solutions, leveraging your Python expertise and experience in high-growth environments. Ideal candidates should hold a Computer Science degree and have strong problem-solving skills to tackle real-world challenges in AI/ML.

Qualifications

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

Responsibilities

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

Skills

Python

Optimization

Scalability

Efficiency

Problem-solving

Collaboration

Communication

Education

Computer Science degree or similar

Tools

Python

PyTorch

TensorFlow

Kubernetes

Docker

Cloud platforms

Job description

Social network you want to login/join with:

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Client:

Few&Far

Location:

Reading, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Views:

5

Posted:

31.05.2025

Expiry Date:

15.07.2025

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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 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 challenges and develop ML-based deployment solutions.

You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like optimization, 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 optimize 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
• Some interest or experience with the lifecycle of ML model development and 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 offers insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale.