Senior Machine Learning Engineer
Melbourne Office (33X)
Bupa
Bupa is an international healthcare company. Our purpose is helping people live longer, healthier, happier lives and making a better world.General information
Name Senior Machine Learning Engineer Ref # 49652 Date Tuesday, June 3, 2025 Full / Part Time Full TimeDescription & Requirements
Opportunity snapshot:
An exciting, 12 month fixed term opportunity has become available for Senior Machine Learning Engineer.
Our Global Strategy set us a clear ambition to be the world's most customer-centric healthcare company. To bring our ambition to life, it is critical we elevate the focus on digital and data, evolving how we do things to create value for our customers now and into the future.
A key enabler for this vision is the ability to rapidly access, understand and use data to make decisions that improve customer experiences and business performance. The Senior Machine Learning Engineer will play a critical role in enabling Bupa to make use data for automated decision making a scale.
As an accomplished change agent and practitioner of lean, agile ways of working you will be passionate about systems change and using data and analytics to make decisions, measure progress and transform healthcare.
The impact of your work will be measured through the data flywheel: with equal parts’ focus on – doing the right things (value creation), in the right way (data democratisation) and with the right data (findable, accessible, interoperable, reusable).
What will I be doing?
- Establishing processes to automate lifecycle of ML solutions, using best practices around version control, testing and CI/CD
- Ensuring reliability of ML solutions, working to SLAs.
- Ensure the quality of models being deployed in line with metadata capture, monitoring and best practice governance processes.
- Providing best practices when it comes to candidate model deployment and comparisons of performance against incumbent model
- Implementing ML models and algorithms for various business domains
- Evaluating and optimising the performance, accuracy, and scalability of ML solutions
- Collaborating with stakeholders and clients to understand their needs and expectations
Requirements for the role:
- 8 years+ relevant experience in the field of Data Engineering
- 2 years+ experience in Artificial Intelligence or Machine Learning
- Tertiary qualification in Computer Science, Engineering, Mathematics, or related field
- At least 5 years of experience in MLOps or related roles
- Proficiency in Python, R, Java, C++, or other programming language
- Experience with TensorFlow, Py Torch, Keras, Scikit-learn, or other ML frameworks
- Experience with cloud platforms, ideally Azure and Databricks
- Experience with Docker, Kubernetes, Airflow, Jenkins, or other MLOps tools
- Knowledge of data structures, algorithms, statistics, and mathematics
- Proficiency in ML Ops, SRE, or DevOps practices
- Familiarity with health insurance data domains (claims, clinical, provider, member, utilization, etc.).
About us:
Bupa has a strategic goal of being the most customer-centric digital healthcare organisation, with the use of data as an explicit pillar of this strategy.
The program pillars include:
- A Customer-Centric Focus - Bupa aims to grow our data products, the data that people have access to and the utilisation of data as a strategic asset that drives our Connected Care, Core Modernisation, and other strategic change agents
- Data Access and Democratization - Ensuring everyone has access to and can understand the data Bupa holds; reducing barriers to entry and make the complex simple for people who want to leverage our data assets
- Support for Access - Help leaders in ensuring easy access to data for people that they work with
- Empowerment - Enabling business people to do their role as owners, stewards, and leaders.
- Delivery & Customer Value First - Treat data as an asset to create value for customers and remove barriers to achieving compliance, risk, or other barriers to value
What’s in it for you?
As well as a competitive salary, a range of Bupa benefits and flexible working/ work from home, you’ll be challenged and encouraged to innovate. You will collaborate strongly with colleagues who are committed to delivering exceptional experiences. We trust, respect and consider everyone, knowing your difference will make the difference.
Other benefits include subsidies on our health insurance, travel, car, home, contents and pet insurance products as well as Bupa services such as Dental and Optical. You can also access a ‘People First’ wellness program which provides a range of services such as health coaches, annual skin checks and flu vaccinations, assistance with nutrition, mental and general well-being guides and product discounts.
You’ll feel happier & healthier working at Bupa!
Location Melbourne Office (33X) Recruiter Luke Sist* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Azure CI/CD Computer Science Databricks DevOps Docker Engineering Java Jenkins Keras Kubernetes Machine Learning Mathematics ML models MLOps Model deployment Python R Scikit-learn Statistics TensorFlow Testing
Perks/benefits: Career development Competitive pay Flex hours Health care
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