Senior Machine Learning Engineer

Job title: Senior Machine Learning Engineer

Company: Nearmap


Job description: Company DescriptionNearmap is the Australian-founded, global tech pioneer innovating the location intelligence game. Customers rely on Nearmap for consistent, reliable, high-resolution imagery, insights, and answers to create meaningful change in the world and propel industries forward.Harnessing its own patented camera systems, imagery capture, AI, geospatial tools, and advanced SaaS platforms, Nearmap stands as the definitive source of truth that shapes the livable world.Job DescriptionWe’re looking for a Senior Machine Learning Engineer to join our AI Data Engine team and help build the foundation that powers all of Nearmap’s AI products.The Data Engine team produces the large-scale, high-quality labeled datasets that fuel our machine learning models. But we’re not just building another data pipeline – we’re creating a self-improving system that intelligently optimises both model training effectiveness and labelling resource allocation. Because we know that great AI starts with great data.For this role we’re looking for a Senior ML Engineer to focus on backend services. You’ll work alongside talented AI researchers to build robust, scalable systems that power our data operations. While ML knowledge is valuable, this role centres on software engineering rather than model training.Key Responsibilities:

• Build and optimise backend services, APIs, and databases that support our ML data workflows
• Design and maintain sophisticated labelling and data systems using Python, SQL, Kubernetes, Argo, and GitLab
• Partner with data scientists and ML engineers to create seamless workflows across diverse ML applications
• Guide architectural decisions and ensure our systems align with best practices and organisational goals
• Mentor engineers at all levels while championing collaboration and operational excellence

What We’re Looking For:

• 5+ years building scalable, production-grade software systems (ideally in ML/MLOps environments)
• Strong Python skills and deep experience with distributed systems on Linux
• Proven track record with CI/CD pipelines, monitoring, and production optimisation
• Excellent collaboration skills – you’ll work closely with data scientists and ML engineers
• Bonus points for experience with Docker, Kubernetes, Snowflake, and AWS services (S3, RDS, EKS)

QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or related technical fieldAdditional InformationSome of our benefitsNearmap takes a holistic approach to our employees’ emotional, physical and financial wellness. Some of our current benefits include:

• Quarterly wellbeing day off – Four additional days off annually for your ‘YOU’ Days
• Access to LinkedIn Learning
• Wellbeing and technology allowance
• Annual flu vaccinations
• Hybrid flexibility for this role
• Nearmap subscription (of course!)
• Stocked kitchen with access to all the snacks you need
• In-office lunch every Tuesday and Thursday at our Sydney CBD office
• Showers available for anyone cycling to work or lunchtime gym-goers!

Working at Nearmap
We move fast and work smart; often wearing multiple hats. We adapted to remote working with ease and are continually looking at ways to improve. We’re proud of our inclusive, supportive culture, and maintain a safe environment where everyone feels a sense of belonging and can be themselves.If you can see yourself working at Nearmap and feel you have the right level of experience, we invite you to get in touch.Read the product documentation for Nearmap AI:For a deep dive into Nearmap AI, listen to our VP of AI & Computer Vision, Mike Bewley on the Mapscaping podcastThanks, but we got this! Nearmap does not accept unsolicited resumes from recruitment agencies and search firms. Please do not email or send unsolicited resumes to any Nearmap employee, location or address. Nearmap is not responsible for any fees related to unsolicited resumes.

Expected salary:

Location: New South Wales

Job date: Fri, 04 Jul 2025 22:59:30 GMT

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