Senior ML Engineer
Anson McCade
Charing Cross, United Kingdom
3 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 65KJob location
Charing Cross, United Kingdom
Tech stack
Artificial Intelligence
Big Data
Continuous Integration
Python
Machine Learning
TensorFlow
Unstructured Data
PyTorch
Scikit Learn
Machine Learning Operations
Data Pipelines
Job description
A leading organisation operating within cyber, defence, and national security is seeking a Machine Learning Engineer to join a growing advanced analytics and AI capability.
This is a hands-on engineering role building and deploying ML solutions in highly secure, data-rich environments , where work directly contributes to national-level outcomes.
Why this role?
This is an opportunity to work on real-world, high-impact machine learning systems where security, scale, and performance are critical.
You'll be:
- Building and deploying machine learning models into production environments
- Working with large, complex datasets in secure infrastructures
- Supporting the development of AI-driven capabilities for mission-critical systems
- Collaborating with engineers, data scientists, and security specialists
- Contributing to the full ML lifecycle from data prep to deployment
What you'll be doing
- Develop and implement machine learning models and pipelines
- Work with structured and unstructured data at scale
- Deploy models into secure production environments
- Support MLOps practices including CI/CD for ML systems
- Optimise models for performance, accuracy, and reliability
- Work closely with stakeholders to translate requirements into technical solutions
Requirements
- Experience as a Machine Learning Engineer or Data Scientist with production ML exposure
- Strong understanding of ML algorithms, model development, and deployment
- Experience with Python and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
- Familiarity with data pipelines and cloud or on-prem environments
- Understanding of MLOps principles
- Ability to work in secure or regulated environments
Eligibility
- Must be eligible for DV Security Clearance (5+ years UK residency required)