<div class="show-more-less-html__markup show-more-less-html__markup--clamp-after-5 relative overflow-hidden"> <p><strong>Senior Python Software Engineer</strong></p><p><br/></p><p>Do you want to be the engineer who turns pricing science into systems that actually run in production? As a Senior Software Engineer on the Dynamic Pricing &amp; Revenue Management team, you'll work alongside a Data Scientist and a Data Analyst to build the infrastructure that helps the business price smarter and drive real revenue impact, at genuine scale.</p><p><br/></p><p><strong>What You'll Do:</strong></p><p>🔧 Bridge Data Science and Production: Take pricing and demand models from experimentation to live, reliable production systems.</p><p>🏗 Build the Serving Layer: Design and maintain the APIs and infrastructure that deploy models into the real world.</p><p>⚡ Own the Pipelines: Keep data flowing reliably from source to model to output, with monitoring and alerting built in from the start.</p><p>🔍 Drive Operational Excellence: Implement automated testing, observability, and monitoring across the team's production systems.</p><p>🤝 Work Cross-Functionally: Partner daily with Data Scientists, Analysts, and Engineering to turn prototypes into production-ready solutions.</p><p><br/></p><p><strong>The Team:</strong></p><p>You'll join a small, newly formed team inside a much larger engineering organisation, with a clear mission: help drive smarter, data-driven pricing decisions across the business. It's a team that cares about impact, collaboration, and learning together, using modern tooling and genuine AI-native workflows day to day.</p><p><br/></p><p><strong>What They're Looking For:</strong></p><ul><li>4+ years of experience in Software Engineering, Data Engineering, DevOps, or MLOps</li><li>Strong hands-on Python, writing clean, production-quality code</li><li>Experience with CI/CD, Docker, and infrastructure-as-code such as Terraform</li><li>Familiarity with cloud platforms, AWS preferred, and deploying services into production</li><li>Exposure to or interest in ML model deployment, tools like MLflow or SageMaker are a strong plus</li><li>A proactive, hands-on mindset, someone who spots problems and drives solutions forward</li><li>Genuine appetite for using cutting-edge LLM tools and agents to boost your own and the team's productivity</li></ul><p><br/></p><p><strong>What They Offer:</strong></p><p>Competitive senior-level package and:</p><p>💼 Hybrid working with meaningful in-office collaboration time</p><p>🌎 Flexibility to work from other locations internationally for part of the year</p><p>📈 Personal learning budget with a strong AI focus</p><p>💪 Gym discounts and travel perks</p><p>🌍 Join a genuinely international team, working on products used at real global scale</p> </div>