Machine Learning Engineer
Salary: £65,000 – £80,000
Location: Central London – 1 day per week in the office
We are currently recruiting a Machine Learning Engineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has the power to improve society and empower policy makers. The Opportunity
This is an opportunity to join an organisation with people who are passionate about data and its ability to empower and improve lives. Responsibilities:
Work with cross-functional teams to deliver production level ML/AI solutions on the Azure platform. Implement MLOps with a focus on versioning and data security. Champion Machine Learning across the business. Mentor junior members of the team. Benefits:
£65,000 – £80,000 Profit share bonus Company doctor WFH allowance Skills and Experience
Python Azure MLOps Strong communication Stakeholder management If you would like to be considered for the role and feel you would be an ideal fit with our team, please send your CV to us by clicking on the Apply button below.
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Salary: £65,000 – £80,000
Location: Central London – 1 day per week in the office
We are currently recruiting a Machine Learning Engineer to join a global publishing company. Producing high-quality educational resources, they are publishing impactful research that has the power to improve society and empower policy makers. The Opportunity
This is an opportunity to join an organisation with people who are passionate about data and its ability to empower and improve lives. Responsibilities:
Work with cross-functional teams to deliver production level ML/AI solutions on the Azure platform. Implement MLOps with a focus on versioning and data security. Champion Machine Learning across the business. Mentor junior members of the team. Benefits:
£65,000 – £80,000 Profit share bonus Company doctor WFH allowance Skills and Experience
Python Azure MLOps Strong communication Stakeholder management If you would like to be considered for the role and feel you would be an ideal fit with our team, please send your CV to us by clicking on the Apply button below.
#J-18808-Ljbffr
