Senior Machine Learning Engineer

Primary DetailsTime Type: Full time

Worker Type: Employee

• Location: Sydney, Melbourne, Brisbane, Canberra

• Type: Permanent, full time

• Hybrid role, Happy to talk flexible working

The opportunity

We have an exciting opportunity for a Senior Machine Learning Engineer to join our Data Science & Machine Learning team. Reporting to the Lead Machine Learning Engineer, you will facilitate the adoption and application of scientific principles to business processes and decisions to improve the quality and performance of various business units.

Your new role

A day in your new role may look a bit like this:

• Translate the decision-making needs and timeframes of internal business unit stakeholders into data-driven, analytically tractable and scientifically provable problems

• Implement fit-for-purpose analytics tools and infrastructure that will be adopted by end users

• Work within an agile team of data scientists, data analysts, and portfolio delivery leads to build and operationalise models, quantify and analyse model performance, and oversee model refreshing requirements

• Take ownership of, and deliver enterprise grade machine learning training and inference pipelines

• Engineer robust, reliable and modular software in data science business solutions within actionable timeframes

• In conjunction with the portfolio delivery leads prioritise projects and tech-debt activities across the portfolio adapting to ever-changing business environment

• Provide analytics thought leadership to the business and align thinking to business strategy

About you

To be successful in this Senior Machine Learning Engineer role you will have solid experience in a similar role within Financial Services/Regulated Industry. You will also have;

• Programming experience. Strong Python essential, but additional language experience highly desirable – SQL, React, etc.

• Strong DevOps experience working with Docker, Docker Compose, Docker Swarm, Kubernetes, microservice architectures; you have created Docker images, combined containers into a service and deployed services in CI/CD pipelines

• Experience with bash scripting

• Created data APIs with Flask, FastAPI, Django or similar

• Strong experience working with databases, having defined schemas or migrating databases

• Some front-end/web experience: basic HTML, CSS and JavaScript, but frameworks also welcome

• Experience of (Azure) cloud native tooling

• Experience in Databricks

• Good understanding of the data science lifecycle, from data exploration and model development to implementation, integration, deployment and support

• Ability to apply your technical problem solving to real world problems and be able prioritise the business case over a perfect solution

• Data wrangling experience in a large organisation with multiple systems and data sources

• Proven experience delivering beneficial projects in an agile work environment

• Strong project management, collaboration and communication skills

• Bachelor’s/Master’s qualifications preferably in Engineering, Science or Mathematical discipline

About QBE

We can never really predict what’s around the corner, but at QBE we’re asking the right questions to enable a more resilient future – helping those around us build strength and embrace change to their advantage. We’re an international insurer that’s building momentum towards realising our vision of becoming the most consistent and innovative risk partner.

And our people will be at the centre of our success. We’re proud to work together, and encourage each other enable resilience for our customers, our environment, our economies and our communities. With more than more than 13,000 people working across 27 countries, we’re big enough to make a real impact, but small enough to provide a friendly workplace, where people are down-to-earth, passionate and kind.

We believe this is our moment – what if it was yours too? Your career at QBE — let’s make it happen!

Benefits

We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from:

• ‘Hybrid Working’ – a mix of working from home and in the office to enhance your work/life balance

• Our ‘Thriving at our Best’ wellbeing program, including free holistic wellbeing coaching, nutritional, confidential counselling, financial and legal advice

• 18 weeks’ gender-equal flexible leave for all new parents, including paid super

• The ability to maximise retirement savings through voluntary super contributions and company matching

• Income protection insurance & reimbursed Death and Total Permanent Disability insurance premiums

• Additional leave and support through QBE’s Family Domestic Violence First Responder Network

• Discounts on insurance products, car hire, hotels, goods and services including benefits through our various sports and arts sponsorship partners

Rewards & Recognition

We value our employee’s experience with us and are proud to have been recognised for the following awards:

• 2021 LinkedIn Top Employer & HRD Employer of Choice

• 2020 Best Workplace Diversity & Inclusion and Excellence Award for Best Health & Wellbeing at the Australian HR Awards

• Platinum employer on the Australian Workplace Equality Index (AWEI) – the definitive national benchmark on LGBTQI+ workplace inclusion

• Ranked 3rd place in the AAGE Top Graduate Employers 2023 for medium sized program as voted by graduates

• Top 20 Workplaces for Dads in 2019 and 2020 (HBF Direct Advice for Dads)

• Family First accredited employer since 2021

Apply now

APPLY NOW and let’s make it happen! 

Click APPLY to submit your application. Successful applicants will need to complete work rights, police and credit checks through our online provider as a condition of employment.

QBE recognise the value of diverse perspectives and experience. We are committed to an inclusive workplace where everyone feels valued and respected for who they are. If we can provide support with access requirements, alternative work arrangements or you would like to connect with one of our networks please contact us at recruitment@qbe.com

Skills:

Communication, Critical Thinking, Data Science, Data Visualization, Innovation, Intentional collaboration, Machine Learning, Managing performance, Mentorship, Prioritization, Research Analysis, Risk Management, Scrum (Agile), Stakeholder Management, Thought Leadership

Application Close Date: 23/02/2025 11:59 PM

How to Apply:

To submit your application, click "Apply" and follow the step by step process.

Equal Employment Opportunity:

QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.