Machine Learning Operations Engineer

NLP PEOPLE; Newcastle upon Tyne; On-site; GBP 125,000 - 150,000; Full time

Job summary

An innovative technology company in the UK is seeking a Senior Machine Learning Operations Engineer to support the development and maintenance of their ML Ops platform. The ideal candidate will have a strong background in Azure and Databricks and experience with API development, data integration, and performance testing. Benefits include generous annual leave, flexible working options, and a variety of health and wellness programs.

Benefits

25 days annual leave

Discretionary annual bonus

Pension scheme

Flexible working

Healthcare Cash Plan

Electric vehicle salary sacrifice scheme

Life Assurance

Cycle to Work Scheme

Qualifications

• 5+ years of experience in ML Ops engineering with Azure.
• Knowledge of Postgres, Azure Cache, and Databricks.
• Familiarity with Docker and API development.

Responsibilities

• Develop and maintain API services using Databricks and Azure.
• Implement and manage Azure Cache and Redis.
• Integrate platform with Snowflake for data storage.

Skills

ML Ops engineering

Azure

Databricks

Postgres

Docker

API service development

Collaboration

Problem-solving

Azure Functions

Tools

Databricks Delta Live tables

Azure Containers

Snowflake

Job description

Machine Learning Operations Engineer

Department: [SBL] Data Engineering

Employment Type: Permanent – Full Time

Location: Newcastle

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.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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

Company

Somerset Bridge Group

Experience Level

Senior (5+ years of experience)