Lead Machine Learning Ops Engineer

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Lead Machine Learning Ops Engineer

Data & Insight Group - Data innovation - Data Engineering

Permanent 

London, Leeds or Manchester (Flexible working)

Why you should join us...

We connect with millions of people every day, make content they can't get enough of and reflect and shape the world we live in... and we do all this through the power of creativity.

At ITV, we're well on our way to becoming a digital first business. We're transforming the way we work so that tech is at the heart of everything we do. It's what our More Than TV strategy is all about. And none of it would be possible without our data - and the people behind it.  

Business Area Overview:

Our data team is responsible for helping us realise the value of data. That could mean anything from upskilling and training our people, to increasing our revenue through experimentation and personalisation. The list is truly endless.

Our Innovation strand consists of Data Scientists, Operational Researchers and Behavioural Scientists. As a mix of number crunchers and behavioural experts, they put their curiosity to work in influencing the business.

As we enter the fourth industrial revolution, anyone who joins the team will have the opportunity to work on genuinely groundbreaking innovations so that we can  continue to blend science into a creative business.

This role entails...

Sitting in the data innovation function, we have an opportunity for a Lead Machine Learning Engineer to join our ML ops team and be instrumental in delivering our data strategy.

Design and build a self served framework to productionise machine learning models in a standardised and automated way

Use automation tools to orchestrate pipelines, test and deploy software and automate decisioning  

Collaborate with data engineers,  platform engineers and architects to develop a best in class platform following best practices and ensuring reliability, stability and availability 

Maintain and expand functionalities of the existing solution to improve performance metrics and increase business impact

Communicate complex concepts in a clear and understandable way to both experts and non-experts.

Train data scientist and OR specialists on how to deploy safely their models

Create prototype for use cases then scale to create agnostic frameworks 

Own the delivery of our deployment capabilities

Recruit and manage a team of ML engineers 

To be considered for this opportunity you will need to demonstrate the following skills:

Minimum Criteria:

Experience deploying code using jenkins and github 

Experience with deploying ML models as API using flask and python 

Experience with Spark (Scala or Python) for ETLs and model development

Experience managing a team of ML engineers 

Experience collaborating with architect, test engineers, platform engineers 

Knowledge of artefact repositories such as mlflow 

ITV strongly encourages applications for this role from candidates with a disability and as a Disability Confident Leader, we have committed to interview all candidates with a disability whose application meets the minimum criteria for the role. (minimum criteria above)

Key Criteria:

Proven background and relative experience as someone who has extensive experience in Machine Learning

Understanding of challenges that comes with deploying machine learning models and running production workload  using deep learning frameworks

Experienced in designing and developing highly efficient systems to productionise machine learning models 

Experience with cloud platform e.g. AWS

What we can offer:

We offer a competitive salary and 5 weeks' holiday on top of public holidays, plus the option to buy more. Other benefits include annual bonus plan, life assurance cover, and interest-free season-ticket loans, an opportunity to buy ITV shares, and the chance to join pension, health insurance, childcare vouchers and cycle to work schemes. 

We want to be the most flexible employer in Media. We offer Smart working and we will support you and provide you the right environment and work/ life balance.

We reach millions of people everyday, that's why having diverse talents and being an organisation where colleagues feel included is crucial to us. We have various networks who celebrate and support our colleagues. We try to embed an inclusive mindset in everything we do. 

We're happy to discuss any support/personalisation you may need during our application process as part of our reasonable adjustments approach. So we encourage you to get in touch with us if you require anything.

* There may be a few exceptions where we are not able to take all eligible candidates to the next stage due to the volume of applications