Forward Deployed Engineer - Remote UK

JR United Kingdom; Manchester; Remote; GBP 120,000 - 160,000; Full time

Job summary

A leading US scale-up seeks a Forward Deployed Engineer to empower Engineering teams in deploying Machine Learning models. This fully remote role requires collaboration with clients to optimise their ML solutions, focusing on efficiency and scalability. Ideal candidates have substantial experience in Python and a passion for ML technologies.

Qualifications

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

Responsibilities

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

Skills

Python

Problem-solving

Communication

Education

Computer Science degree or similar

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

col-narrow-left

Client:

Few&Far

Location:

Manchester, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

col-narrow-right

Job Views:

14

Posted:

14.06.2025

Expiry Date:

29.07.2025

col-wide

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, 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 engineer ML-based deployment solutions.

You'll be instrumental in ensuring clients achieve optimal outcomes with their models, focusing on aspects like 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, ideally as a Co-Founder or Founding Engineer
• 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 or ML Engineers)
• Strong problem-solving skills and a customer-centric, Product Engineering mindset.

This role provides insight into the opportunities and challenges companies face when implementing AI/ML solutions at scale and is ideal for Entrepreneurial Engineers.