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About the Job In Detail

Machine Learning and Data Engineering Lead

Posted on 
15-12-2022
London
Intelligent Automation
£90k - £140k
Permanent
Full-time
Job Category: 

Job Description

Hays Intelligent Automation are working with a leading financial institution that is currently going through an extensive transformation programme. They are looking to build a true 'engineering-led' organisation in which technology and data are key. As such, they require an experienced Machine Learning and Data Engineering Lead, that will help redefine technology platforms and be passionate about combining next generation cloud technology with customer data and insight. Overview: - Define, build, curate and run both products, tools and services based on public and private cloud capabilities to optimise the clients Operational and Resilience data strategy. - Deliver capabilities that support Data led insights, engineering and machine learning user journeys. - Work closely with various data and enterprise architecture teams - Proactively identify operational and technology resilience opportunities that will help meet data & platform objectives. Requirements: - Define and deliver a set of operational and resiliency capabilities based on GCP, Azure and Private data-center offerings - Lead and managing a team of Data Science Engineers - Ensure relevant training and upskilling plans are in place - Support and enable business platforms to self-serve Essential Skills: - Demonstrable knowledge of AI, Machine Learning and Data Processing platforms - A proven track record in developing, implementing and maintaining AI, Machine Learning and advanced Data Processing approaches - Be product focused with the ability to define and engineer technical products, roadmaps, user journeys and APIs Ability to define and review technical architectures - Ability to be hands on and create prototypes and MVP of the different platform products - Experience in working with CI/CD, DevOps approaches and a passion for Automation - Good knowledge of agile and lean start-up practices - Ability to translate platform consumers needs into technical products If the above position is of interest, please apply now to arrange an initial conversation. #4274325

Hays Intelligent Automation are working with a leading financial institution that is currently going through an extensive transformation programme.
They are looking to build a true 'engineering-led' organisation in which technology and data are key.
As such, they require an experienced Machine Learning and Data Engineering Lead, that will help redefine technology platforms and be passionate about combining next generation cloud technology with customer data and insight.
Overview:
- Define, build, curate and run both products, tools and services based on public and private cloud capabilities to optimise the clients Operational and Resilience data strategy.
- Deliver capabilities that support Data led insights, engineering and machine learning user journeys.
- Work closely with various data and enterprise architecture teams - Proactively identify operational and technology resilience opportunities that will help meet data & platform objectives.
Requirements:
- Define and deliver a set of operational and resiliency capabilities based on GCP, Azure and Private data-center offerings - Lead and managing a team of Data Science Engineers - Ensure relevant training and upskilling plans are in place - Support and enable business platforms to self-serve Essential Skills:
- Demonstrable knowledge of AI, Machine Learning and Data Processing platforms - A proven track record in developing, implementing and maintaining AI, Machine Learning and advanced Data Processing approaches - Be product focused with the ability to define and engineer technical products, roadmaps, user journeys and APIs Ability to define and review technical architectures - Ability to be hands on and create prototypes and MVP of the different platform products - Experience in working with CI/CD, DevOps approaches and a passion for Automation - Good knowledge of agile and lean start-up practices - Ability to translate platform consumers needs into technical products If the above position is of interest, please apply now to arrange an initial conversation.
#4274325

Additional Information

Vacancy Reference
4274325

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