Machine Learning Engineer
ANSON MCCADE
London · posted 19 August 2026
Location
London, City of London
Category
Information Technology
Do you have the skills to fill this role Read the complete details below, and make your application today.
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 xwzovoh 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).