Expired
Company:
Harnham
Location: London
Closing Date: 18/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
LEAD MLOPs ENGINEER
Up to £90,000 + 10% bonus, car allowance and benefits REMOTE (London once a month)
This is a chance to join a leading Telecomms company as a part of their Data Science team help build and deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work end to end, building and deploying models.
ROLE: Your day-to-day responsibilities will include:
Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core internal projects Part of a team of 7 reporting to the Head of Data Science Chance to upskill and mentor juniors whilst remaining fully hands-on Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast-paced environment, within a well-established company
REQUIREMENTS: MSc or PhD level education in STEM subjects. Strong experience in building and deploying ML models Preference for experience in customer modelling but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs
If this role looks of interest, please reach out to Joseph Gregory.
Up to £90,000 + 10% bonus, car allowance and benefits REMOTE (London once a month)
This is a chance to join a leading Telecomms company as a part of their Data Science team help build and deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work end to end, building and deploying models.
ROLE: Your day-to-day responsibilities will include:
Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deep learning and neural networks to support core internal projects Part of a team of 7 reporting to the Head of Data Science Chance to upskill and mentor juniors whilst remaining fully hands-on Focusing on end-to-end data pipelines, for training, evaluating and deploying ML models Working closely with Data Scientists on client partners, advising on best practice ML and MLOps infrastructure Driving best practices in a fast-paced environment, within a well-established company
REQUIREMENTS: MSc or PhD level education in STEM subjects. Strong experience in building and deploying ML models Preference for experience in customer modelling but not required Candidates should be looking to work in a fast paced startup feel environment Tech across: Python, SQL, AWS, Databricks, PySpark, AB Testing, MLFlow, APIs
If this role looks of interest, please reach out to Joseph Gregory.
Harnham
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