Searchability NS&D Careers
London / Global
You have blocked notifications
Oops! You have blocked notifications. Click here for more info
You have blocked notifications, please check your browser settings.
You're currently subscribed to job notifications
Subscribe to notifications
You will no longer receive notifications
London / Global
West London location - 2 days on site p/week
Active SC required
Up to £700/d inside ir35
3-year engagement
Experience required in Model Development, Data Pipelines, Production Deployment
Role Opportunity
This is a long-term engagement with a leading Consultancy supplying into the Public Sector for an experienced Machine Learning Engineer with SC Clearance.
Key Responsibilities:
Develop and optimise ML models for personalisation and recommendations
Build scalable data pipelines and feature engineering workflows
Deploy, monitor and optimise ML models in production
Lead A/B testing and experimentation to improve model performance
Collaborate with cross-functional teams to deliver ML solutions
Evaluate and apply emerging ML and deep learning techniques
Key Skills Required:
Machine Learning / Deep Learning
Recommendation & Personalisation Systems
Data Pipelines & Feature Engineering
MLOps & Production Deployment
A/B Testing & Experimentation
Python / ML Frameworks
Large-scale Structured & Unstructured Data
To be Considered:
Please either apply by clicking online or emailing me directly to . For further information please call me on or . If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on Twitter @SearchableHenry or connect with me on LinkedIn, just search Henry Clay-Davies. I look forward to hearing from you!
...
Greater London / Global
Greater London / Global
Greater London / Global
Greater London / Global
Greater London / Global
Greater London / Global