Digital Intelligence Engineer
Tech stack: Python, Machine Learning, Statistical Modelling, AI Evaluation, LLMs, Production ML
Remote - Occasional Client Visits
We’re hiring a Digital Intelligence Engineer to help build, deploy, and evaluate intelligent systems for enterprise clients across regulated industries.
This is a hybrid role for someone who is data science first and systems engineering second — combining strong traditional machine learning expertise with the ability to deploy production-grade AI systems and communicate results directly to clients.
The Role:
* Build and deploy intelligent systems for real-world business applications
* Apply statistical analysis, classical machine learning, and experiment design to enterprise problems
* Design and evaluate ML systems using robust performance metrics and validation approaches
* Work across the full lifecycle from modelling through to deployment and scaling
* Lead client conversations around AI evaluation, performance, and system behaviour
* Present data-backed findings and explain technical outcomes to enterprise stakeholders
* Collaborate closely with engineering teams to integrate AI systems into production environments
* Contribute to internal knowledge sharing and AI engineering best practices
What We’re Looking For:
* 5+ years of experience across data science and machine learning with strong software engineering capability
* Strong expertise in traditional ML, statistical analysis, evaluation methods, and experiment design
* Experience building, deploying, and scaling ML systems in production
* Strong Python and applied machine learning experience
* Ability to communicate complex AI concepts clearly to enterprise clients
* Experience delivering real-world business projects using production AI systems
* Comfortable working independently and contributing to technical direction
Nice to Have:
* Experience in regulated industries such as pharma, biopharma, medtech, or financial services
* GAMP experience with ML systems in production
* Experience with LLMs and practical AI applications across business use cases
* Experience with cloud infrastructure, APIs, or ML deployment tooling
Why Join:
* Work on real-world enterprise AI deployments
* High ownership across AI delivery, evaluation, and deployment
* Collaborative, engineering-led environment
* Opportunity to shape how intelligent systems are deployed in regulated industries
* Build AI systems that solve practical business problems in production