Software Engineer, Python

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          "text": "<p><strong>The role</strong></p><p>As a Machine Learing Engineer, you will support a team of Data Scientists with tooling, data transformation, and deploying realtime models on Ray Serve endpoints.</p><p>The team builds risk models and other related scores, using geospatial data as inputs to identify damage, rate the quality of a roof, or predict the likelihood of damage in the event of a natural disaster.</p><p>Your role is to support the Data Science team's end-to-end workflow, and to be the key bridge between them and our ML Ops teams and systems in Australia and Poland<br>\n<br>\n<strong>What you'll be doing</strong></p><ul><li>Supporting the deployment of new risk models and scores in production.</li><li>Helping work with large scale data sets (hundreds of millions of rows), and building custom workflows on top of existing foundations.</li><li>Set up Claude Code usage patterns to allow team members to work more easily with AWS / Ray / Docker / Linux tooling.</li><li>Own data transformation pipelines that turn semantic geospatial maps of a property into attributes suitable for categorical modelling.</li><li>Collaborating with engineers to ensure solutions will work reliably on our tens-of-petabyte scale data sets, with multi-date, multi-angle, multi-modal data as inputs to algorithms.</li></ul>",
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          "text": "<p><em>Property intelligence is reshaping how the world understands the built environment, and Nearmap is driving that. We put powerful aerial imagery, AI-driven analytics, and geospatial tools into the hands of the people who plan, build, insure, and govern the places we all live and work. Our technology turns property uncertainty into decisive action, and our culture brings out the best in the people who build it.</em></p>",
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          "text": "<p><strong>Why you'll love working at Nearmap:</strong></p><p>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.</p><p>In addition to your annual leave, Nearmap offers:</p><ul><li>4 extra \"YOU\" days off each year—take a break, no questions asked!</li><li>Company-sponsored volunteering days to give back.</li><li>Generous parental leave policies for growing families.</li><li>Work from Overseas Policy - explore the world in the approved list of cities&#xa0;while you work!</li><li>Access to LinkedIn Learning for continuous growth.</li><li>Discounted Private Health Insurance plans.</li><li>Monthly wellbeing and technology allowance.</li><li>A Nearmap subscription (naturally!).</li></ul><p><strong>Learn More About The Work We Do</strong></p><p><strong><a href=\"https://www.youtube.com/@nearmap\" rel=\"noopener noreferrer\">YouTube Page</a></strong></p><p><a href=\"https://www.linkedin.com/company/nearmap-com/posts/?feedView=all\" rel=\"noopener noreferrer\">LinkedIn Page</a></p><p><em>Thanks, 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.</em></p>",
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