Machine Learning Engineer

Your Digital Future; United States; Remote; USD 63,000 - 106,000; Full time

Job summary

Your Digital Future is seeking an experienced Machine Learning Engineer to develop, train and optimise computer vision and ML systems for edge deployments. You will balance advanced research with pragmatic engineering to deliver efficient models that run in constrained environments.

The role requires strong PyTorch and Python skills, deep CV knowledge and experience with large datasets. UK remote work is available, with occasional travel for team alignment.

Qualifications

• Commercial experience developing machine learning solutions.
• Strong PyTorch expertise.
• Excellent Python development skills.
• Experience with computer vision techniques and frameworks.
• Strong understanding of GPU architectures and model optimisation.
• Excellent software engineering and problem-solving abilities.
• Experience working with complex datasets and real-world machine learning challenges.

Responsibilities

• Develop advanced computer vision and machine learning solutions
• Design, train and optimise deep learning models using PyTorch
• Improve model performance, efficiency and scalability
• Develop solutions capable of operating on constrained edge hardware
• Work with large-scale image and sensor datasets
• Support synthetic data generation and model evaluation
• Contribute to technical direction and machine learning best practice across the business

Skills

Machine learning development

PyTorch

Python

Computer vision

GPU architectures

Software engineering

Edge deployment

Large datasets

C++ development

Synthetic data

Tools

CUDA

TensorRT

Triton

Job description

Machine Learning Engineer

Up to £80,000 DOE | UK Remote

About the Role

We are seeking an experienced Machine Learning Engineer to develop, train and optimise advanced computer vision and machine learning systems for deployment in constrained edge environments.

This role is ideal for someone who combines strong machine learning expertise with excellent software engineering capability and enjoys solving difficult performance, optimisation and deployment challenges. You will work on cutting-edge computer vision systems, helping deliver highly efficient machine learning models that operate in demanding real-world conditions.

Responsibilities

• Develop advanced computer vision and machine learning solutions
• Design, train and optimise deep learning models using PyTorch
• Improve model performance, efficiency and scalability
• Develop solutions capable of operating on constrained edge hardware
• Work with large-scale image and sensor datasets
• Support synthetic data generation and model evaluation
• Contribute to technical direction and machine learning best practice across the business

Requirements

• Commercial experience developing machine learning solutions
• Strong PyTorch expertise
• Excellent Python development skills
• Experience with computer vision techniques and frameworks
• Strong understanding of GPU architectures and model optimisation
• Excellent software engineering and problem-solving abilities
• Experience working with complex datasets and real-world machine learning challenges

Desirable Skills

• CUDA
• TensorRT
• Triton
• Quantised model training
• Edge AI deployment
• Computer Vision
• Robotics or autonomous systems
• Advanced C++ development
• Synthetic data generation

What We're Looking For

• Strong software engineering foundations
• Passion for machine learning and computer vision
• Ability to balance research and practical engineering
• Curiosity, intelligence and integrity
• Someone who enjoys solving difficult technical challenges

Why Join?

This is not AI for the sake of AI. You'll be working on advanced computer vision and machine learning systems designed to solve complex real-world challenges in demanding environments.

You'll join a highly technical team where your expertise will directly influence product development, model performance and technical direction. If you enjoy optimising models, pushing hardware limitations and solving difficult machine learning problems, this is a rare opportunity to work on genuinely impactful technology.

Unfortunately, sponsorship is not available for this role. This is a remote-first position; however, occasional travel for team collaboration and company meetings will be required, therefore candidates should be based in the UK.