Forward Deployed Engineer - ML - Remote UK

JR United Kingdom; Kingston upon Hull; Remote; GBP 120,000 - 150,000; Full time

Job summary

Join a rapidly growing US scale-up as a Forward Deployed Engineer, focusing on ML deployment solutions. You'll be at the forefront of empowering engineering teams by optimising and scaling machine learning models. This fully remote role requires strong Python skills and 5+ years of backend experience, offering an attractive salary package with opportunities for professional development.

Qualifications

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

Responsibilities

• Partner with customers to identify ML deployment needs.
• Implement and optimise ML solutions using Python.
• Collaborate with teams to enhance product features.

Skills

Python

Problem-Solving

Communication

Education

Computer Science degree

Tools

PyTorch

TensorFlow

Kubernetes

Docker

Job description

Social network you want to login/join with:

Forward Deployed Engineer - ML - Remote UK, Kingston upon Hull, East Yorkshire

Client:

Few&Far

Location:

Kingston upon Hull, East Yorkshire, United Kingdom

Job Category:

Other

EU work permit required:

Yes

Job Views:

12

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, raised Series C funding, and 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, and 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, 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 field of study.
• Excellent English communication skills with proven experience liaising effectively with customers, including other Software Engineers or ML Engineers.
• Strong problem-solving skills and a customer-centric, Product Engineering mindset.

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