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Machine Learning Operations Engineer

Somerset Bridge
Bristol
6 days ago
Applications closed

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Machine Learning Operations Engineer - UK

Machine Learning Operations Engineer

Machine Learning Operations (ML Ops) Engineer

Machine Learning Operations (ML Ops) Engineer

Machine Learning Operations (ML Ops) Engineer...

Machine Learning Operations (ML Ops) Engineer

Machine Learning Operations Engineer

Department:

[SBL] Data Engineering
Employment Type:

Permanent - Full Time
Location:

Bristol
Compensation:

Competitive Package

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.
What you'll be responsible for:

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.

What you'll need:

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.

Our Benefits

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

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National AI Awards 2025

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