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Description

The Machine Learning Operations Engineer will support the development and maintenance of the ML Ops platform for Project Pegasus. This role involves building and maintaining the data infrastructure required for the platform, developing API services, and ensuring the integration of ML models into the live environment.

Department: [SBL] Data Engineering

Location: Bristol

Compensation: Competitive Package

• Develop and maintain API services using Databricks and Azure.
• Implement and manage Azure Cache (Redis) and Azure Redis.
• Utilize Databricks Delta Live tables for data processing and analytics.
• Integrate the platform with Snowflake for data storage and retrieval.
• Collaborate with cross-functional teams to deliver the platform in an agile manner.
• Ensure the platform supports offline analytics, ML models, lookup tables, and pricing actions.
• Conduct load, end-to-end, and performance testing.
• Produce pipeline code for running ML Ops jobs and create an Azure DevOps (GitHub) process for source control and deployment.
  
  

• Experience in ML Ops engineering, with a focus on Azure and Databricks.
• Knowledge of Postgres, Azure Cache (Redis) and Azure Redis.
• Experience with Databricks Delta Live tables and Snowflake.
• Experience in Data (Delta) Lake Architecture.
• Experience with Docker and Azure Container Services.
• Familiarity with API service development and orchestration.
• Strong problem-solving skills and ability to work in a collaborative environment.
• Good communication skills and ability to work with cross-functional teams.
• Experience with Azure Functions/Containers and Insights (not essential)
• Experience in Software Development Life Cycle.
  
  

• Hybrid working – 2 days in the office and 3 days working from home
• 25 days annual leave, rising to 27 days over 2 years’ service and 30 days after 5 years’ service. Plus bank holidays!
• Discretionary annual bonus
• Pension scheme – 5% employee, 6% employer
• Flexible working – we will always consider applications for those who require less than the advertised hours
• Flexi-time
• Healthcare Cash Plan – claim cashback on a variety of everyday healthcare costs
• Electric vehicle – salary sacrifice scheme
• 100’s of exclusive retailer discounts
• Professional wellbeing, health & fitness app - Wrkit
• Enhanced parental leave, including time off for IVF appointments
• Religious bank holidays – if you don’t celebrate Christmas and Easter, you can use these annual leave days on other occasions throughout the year.
• Life Assurance - 4 times your salary
• 25% Car Insurance Discount
• 20% Travel Insurance Discount
• Cycle to Work Scheme
• Employee Referral Scheme
• Community support day

Seniority level

• Seniority level

  Associate

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Insurance

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