Machine Learning Engineer

About the Company

I’m currently working on an exciting opportunity for a Machine Learning Engineer to join a rapidly growing AI organisation working on some genuinely high-impact projects across National Security, Government and cutting-edge technology.

About the Role

This is a great opportunity for someone who enjoys taking ML out of the lab and into production, working across software engineering, machine learning and cloud infrastructure.

Responsibilities

• Building and deploying production-grade ML software, tools and infrastructure
• Developing scalable and reusable ML solutions
• Working closely with engineers, data scientists and clients
• Contributing to technical architecture and solution design
• Helping define best practices for deploying ML at scale
• Advising clients and translating complex ML concepts into practical solutions

Qualifications

• Strong Python and software engineering experience
• Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch
• Strong understanding of the machine learning lifecycle
• Experience with AWS, Azure or GCP
• Hands-on experience with Docker and Kubernetes
• Solid understanding of ML fundamentals, probability and statistics
• Strong communication skills and the ability to work with both technical and non-technical stakeholders

Required Skills

• Strong Python and software engineering experience
• Experience operationalising ML models using Scikit-learn, TensorFlow or PyTorch
• Strong understanding of the machine learning lifecycle
• Experience with AWS, Azure or GCP
• Hands-on experience with Docker and Kubernetes
• Solid understanding of ML fundamentals, probability and statistics
• Strong communication skills and the ability to work with both technical and non-technical stakeholders

Preferred Skills

• Experience with AWS, Azure or GCP
• Hands-on experience with Docker and Kubernetes

Due to the nature of the work, candidates may need to be eligible for UK Developed Vetting (DV).