Multiple Machine Learning Engineers ( Mid and Senior) ....Long term financially secure VANRATH client ...
...World class and award winning software house----
Would you like to work with the latest technologies, building cutting edge systems from scratch and get stuff done?
These roles are within our clients Life Science practice.
Our clients Machine Learning Research Hub is seeking experienced data engineers with a background in machine learning, software engineering, technical problem-solving skills, and experience in creating scalable data pipelines and infrastructure for training, validating, and deploying into production ML solutions for broad usage
The roles include supervision responsibility for a team working in this space
The successful candidate will help guide strategy and work with ML research scientists to enable our clients proprietary data and external datasets to be leveraged for ML modelling
This will be accomplished by designing and implementing end-to-end data workflows for large-scale data ingestion, processing, tagging, and publishing, with an eye towards improving ML model performance over time
Formal training in Computer Science, Statistics, Applied Mathematics, Chemistry, Physics, a life science discipline, related technical discipline, or relevant practical experience
Demonstrated ability for strategy development in the data engineering field
With the ability to lead an internal or external matrix team
6+ years experience programming experience in Python, Java, Scala, C++, or SQL
6+ years experience in software design, development, and algorithm-related solutions for production-grade systems using machine learning
6+ years experience in managing code composed of multi-developer teams, following industry best practices
Deep knowledge of one or more scientific data types (e.g. biomedical images, biomedical text, large-scale, multidimensional 'omics, large- or small- molecule therapeutics, clinical or Real World Data, etc.)
Spark, Hive, Impala, Kafka, etc.)
Experience with containerization and orchestration tools (e.g
Docker, Singularity, Airflow, Luigi, Kubernetes, etc)
Experience with workflow languages (CWL, WDL, Nextflow, etc.)
Experience with CI/CD and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.)
For further information on this vacancy, or any other job in Belfast or wider Northern Ireland, please apply via the link below or contact Phil Gamble in the strictest confidence.
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