'Machine Learning Engineer' is a pretty new job title, but demand for these mysterious maestros is stronger than ever. So what (if anything) makes them distinct from data scientists — and what sort of company would benefit most from hiring one? Join Greg and Kelly as they dig into what makes ML engineers unique.

What is a Machine Learning Engineer?

Data science demystified. The Data Dig is a new podcast exploring topics and ideas in data science, designed to empower business leaders and tickle curious minds.
 
Kelly Gauthier (founder of Gauthier Search, an AI & Data Science search firm) and Greg Detre (former Chief Scientist at Channel 4, and co-founder of Memrise), along with a range of guests, meet on the airwaves every other week to dissect and debate a range of topics in the nerdy and nebulous world of AI. Can you dig it?

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Greg and Kelly chat to Sanjeevan Bala, Group Chief Data & AI Officer at ITV, and former Head of Data Science at Channel 4. Sanjeevan explains why decoding a company's culture is key to data success, how to set the right targets for a company's data function, and how to sell stakeholders on what data can do.

Nurturing a Data Science Team Within a Large Organisation (with Sanjeevan Bala)

Kelly and Greg are back, and they have questions: What's a data product? What's a data product manager? Is their special guest one? Yes, she is! Georgie Peake, Data Product Manager at Filtered, talks you through those questions and more, breaking down what a data product manager does, why their skillset is important, and how their work can make businesses better.

What is a Data Product Manager? (with Georgie Peake)

Kelly talks to Katie Russell, Data Director at OVO, to learn more about her career, and how companies can empower women to succeed in data science. Kelly and Katie discuss evidence-based approaches to inclusivity, finding mentors within your company, and succeeding as a female data leader.

Raising the Profile of Women in Data (with Katie Russell)

Building a diverse team isn’t just moral — it makes good business sense, too. Evidence suggests that teams from different backgrounds, and with different opinions, punch above their weight. So how do you build (and retain) a diverse data science team? Kelly and Greg show you how to minimise bias in hiring, make employees feel secure when voicing different opinions, and foster a culture that helps your data team make the best decisions possible.

What is a Machine Learning Engineer?

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