At a Glance
- Tasks: Build and optimise machine learning pipelines using cutting-edge tech like Spark and Databricks.
- Company: Bailey Abbott, a dynamic IT consultancy focused on innovation and collaboration.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Be part of a supportive culture that values creativity and challenges the norm.
- Why this job: Join a creative team and make a real impact in the tech world.
- Qualifications: Strong software engineering skills and experience with machine learning concepts.
The predicted salary is between 123750 - 151250 $ per year.
Bailey Abbott are a progressive and dynamic IT Consultancy business working across both Public and Private sectors. People are at the core of everything we do. We’re all about nurturing and inspiring people – ours and our clients. We bring a positive attitude and mindset to everything we do. We confidently use our knowledge and skills to solve problems, finding a better and easier way forward. We deliver transformational outcomes to take businesses further, fearlessly. Confidence and trust is fundamental to delivering superior outcomes and we take ownership and responsibility for our commitments.
Our People
Our staff are creative, collaborative, and passionate. We’re strong advocates for change, challenging the status quo through new thinking, technology, and practices. Always exploring creative ways to simplify complexity.
Role Overview
We are seeking a Machine Learning Engineer with a strong software engineering foundation to productionise, scale, and maintain advanced analytical and predictive models. In this role, you will bridge the gap between data science experimentation and robust software engineering, designing scalable data pipelines and automated ML lifecycles within our Databricks environment using Spark, R, and modern engineering practices.
Key Responsibilities
- Production ML Pipelines: Build, test, and optimize production-grade data processing and model training pipelines in Apache Spark and Databricks.
- MLOps & Lifecycle Automation: Standardise model deployment, versioning, monitoring, and automated retraining workflows (CI/CD, MLflow).
- Code Quality & Architecture: Apply software engineering best practices—modular code architecture, automated testing, containerisation, and version control to analytical and statistical codebases.
- R & Statistical Workloads: Optimise and scale R-based modeling workflows to run efficiently over distributed data architectures using Sparklyr/SparkR.
- Collaboration & Integration: Partner with data architects, data engineers.
Machine Learning Engineer I in Launceston employer: Empregos Em Nicolab
A Nicolab é um excelente empregador que valoriza a inovação e o desenvolvimento profissional, oferecendo um ambiente colaborativo onde a inteligência humana e artificial se encontram para transformar o atendimento de emergência. Com oportunidades de crescimento contínuo e um foco em resultados clínicos significativos, os colaboradores têm acesso a tecnologias de ponta e um forte suporte para o seu desenvolvimento na área de saúde. Localizada em um centro tecnológico vibrante, a empresa proporciona um equilíbrio saudável entre trabalho e vida pessoal, promovendo uma cultura inclusiva e dinâmica.
