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Senior Machine Learning Software Engineer

2 months ago

London, United Kingdom Houseful Full time

We want to make Houseful more welcoming, fair, and representative. If your background is underrepresented in the technology or property sectors, we actively encourage your application.

At Houseful, we’re here to help everyone make intelligent decisions about their home.

Do the best work of your life

Houseful is home to trusted brands Zoopla, Alto, Hometrack, Calcasa, Mojo and Prime Location. Together, we're creating the connections that power better property decisions by unlocking the combined strength of software, data and insight.

We make moves with head and heart to achieve our big ambitions and to drive progress in the property market. There’s never been a better time to join us.

Hometrack

Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering high-quality 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.

Position overview

We're continuously building more effective valuation models for our clients with modern technologies and have reached a point where we need a machine-learning expert to support these efforts. We seek a Senior Machine Learning Software Engineer to translate POC model code from data science and analytics into robust pipelines and live APIs. As the first Machine Learning Engineer, you will holistically shape model deployment, operations and architecture.

Responsibilities

As Senior Machine Learning Software Engineer, you will:

  • Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and their performance over time.
  • Cooperate with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services.
  • Develop automated model retraining, testing, and deployment workflows 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

You would be a great fit as Senior Machine Learning Software Engineer if you have:

  • A strong understanding of machine learning applications, development life cycle processes and tools, including CI/CD, version control, testing free, g.orks, MLOps, cloud formation, and supporting your team to make sound technical choices to enable commercial goals.
  • Great Python software development (not just data science) experience, able to write stable, scalable and maintainable code.
  • Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, and LightGBM.
  • Worked with a cloud service, such as AWS.
  • Familiarity with developing Infrastructure as code (e.g. Terraform, cloud formation).
  • Some experience with data engineering, building data pipelines with PySpark and SQL (e.g. in Databricks, Glue) to power machine learning applications.
  • The ability to work with Docker and containerised applications.
  • Passion for building products that meet customer needs and business objectives.
  • A strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment.

Don't match all the requirements? That's fine Please apply even if you don't meet all the criteria and we would be happy to learn more about you during a call.

Benefits

  • Everyday Flex - greater flexibility over where and when you work
  • 25 days annual leave + extra days for years of service
  • Day off for volunteering & Digital detox day
  • Festive Closure - business closed for period between Christmas and New Year
  • Cycle to work and electric car schemes
  • Free Calm App membership
  • Enhanced Parental leave
  • Fertility Treatment Financial Support
  • Group Income Protection and private medical insurance
  • Gym on-site in London
  • 7.5% pension contribution by the company
  • Discretionary annual bonus up to 10% of base salary
  • Talent referral bonus up to £5K