Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.

Its why were on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves!

We change lives by making it simple to switch and save money and thats why good things happen when you meerkat.

Wed love you to be part of our journey.

As the Junior Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning. Your role is to identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights.

Everyone is welcome.

We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their authentic, whole selves to work.

Some of the great things youll be doing:

1. Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products.
2. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new integrations, tools and technologies.
3. Work with data scientists to productionise various ML models, ensuring the code follows best practices; effective, scalable and conforms to CTMs engineering & Tech standards.
4. Evolve and enhance systems and tools for agile data analysis and visualisation.
5. Follow best practices for the management and interrogation of large-scale structured and unstructured datasets.
6. Enable the collection of new data and the refinement of existing data sources.
7. Help manage day-to-day operations of the Data Science & Analytics platform, and other ML Solutions built & operated tech across various platforms.

What wed like to see from you:

1. Good understanding of ML techniques & real-world applications.
2. Comfortable manipulating and analysing large volumes of data.
3. Familiar with Python programming.
4. Understanding of basic model deployment concepts and familiarity with simple deployment tools or platforms.
5. Strong interest in learning new technologies and methodologies in machine learning.
6. Experienced in at least two of the following areas with an ambition to learn & develop in the other two:
   1. Application of machine learning
   2. Data Engineering
   3. DevOps
   4. Software Development
7. Ability to work effectively in a team, including taking guidance and feedback from more experienced colleagues.

Theres something for everyone.

Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people.

And then theres our benefits. For us, its not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, weve pretty much got you covered!J-18808-Ljbffr