Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.
At Hometrack, we are looking for an experienced Senior Machine Learning Engineer, to translate POC model code from data science and analytics into robust pipelines and live APIs.
Responsibilities:
- Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and monitoring their performance over time.
- Work closely with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services.
- Develop automated workflows for model retraining, testing, and deployment to streamline the machine learning lifecycle.
- Advocate for and implement best practices in software engineering, including code reviews, continuous integration, and continuous delivery (CI/CD) for machine learning models.
Requirements:
- Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control, testing frameworks, MLOps.
- Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code.
- Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM.
- Have worked with a cloud service, such as AWS.
- Familiarity developing Infrastructure as code (e.g Terraform, cloudformation).
- Have some experience with data engineering, building data pipelines with PySpark, SQL (E.g in Databricks, Glue) to power machine learning applications.
- Comfortable working with Docker and containerised applications.
- Experience leveraging AI native engineering tooling.
- Passion for building products that meet customer needs and business objectives.
- Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment.
Benefits
- Everyday Flex - greater flexibility over where and when you work
- 25 days annual leave + extra days for years of service
- Day off for your birthday, house move, good deed day, and digital detox day
- Cycle to work and electric car schemes
- Free Calm App membership
- Enhanced Paternity Leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London – or membership in regional offices
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
- Talent referral bonus up to £5K
Skills Required
- Strong understanding of machine learning applications, development lifecycle, CI/CD, version control, testing frameworks, and MLOps.
- Strong Python experience; ability to write stable, scalable, maintainable code.
- Experience with data science libraries: Scikit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM.
- Experience with a cloud service such as AWS.
- Familiarity with Infrastructure as Code (Terraform, CloudFormation).
- Experience with data engineering and building data pipelines using PySpark and SQL (e.g., Databricks, Glue).
- Comfortable working with Docker and containerised applications.
- Experience leveraging AI-native engineering tooling.
- Passion for building customer-focused products and track record of delivering high-quality results in fast-paced environments.
What We Do
We’ve recently renamed our wider business to ‘Houseful’, which is why the name might be new to you. By doing so, we can now showcase the breadth of our brands and connected capabilities that are driving progress in the property industry. Houseful is the leader in residential property software, data and insight - owning and operating a family of trusted and established brands, including Zoopla, Hometrack, Prime Location, Mojo, Alto and Calcasa. It also means that when you work for one of our brands, you’re part of something much bigger. At Houseful, we are powering better property decisions for everyone - and our door is always open to new applicants, regardless of race, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, or length of time spent unemployed.
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