Remote ML Ops Lead: Scale Production Pipelines

Computerworld Personnel Ltd; Remote; GBP 70,000 - 90,000; Full time

Job summary

A technology consultancy is seeking a Lead Machine Learning Operations Engineer to lead and optimize their data platform. This strategic role involves mentoring a team, architecting solutions, and ensuring effective model deployment. Candidates should have strong ML Ops leadership experience, particularly with Azure and Databricks. The position offers a competitive salary range of £70-£90k along with excellent benefits, including flexible working options.

Benefits

25 days holiday plus bank holidays

Annual discretionary bonus

Enhanced pension scheme

Flexible working options

Healthcare cash plan

Electric vehicle salary sacrifice scheme

Discounts scheme

Wellbeing app

Enhanced maternity and paternity leave

Life assurance (4x salary)

Cycle to Work scheme

Employee referral scheme

Qualifications

• Proven experience in ML Ops leadership required.
• Deep expertise in Azure and Databricks needed.
• Hands-on experience with Docker and container orchestration essential.

Responsibilities

• Lead design and implementation of ML Ops pipelines.
• Architect and oversee API services and caching layers.
• Drive integration with cloud-based data storage solutions.

Skills

ML Ops leadership

Azure expertise

Databricks

Postgres

Docker

Container orchestration

API design

Excellent communication

Stakeholder management

Tools

Azure DevOps

GitHub

Azure Cache for Redis

Snowflake

Delta Lake

Job description

A technology consultancy is seeking a Lead Machine Learning Operations Engineer to lead and optimize their data platform. This strategic role involves mentoring a team, architecting solutions, and ensuring effective model deployment. Candidates should have strong ML Ops leadership experience, particularly with Azure and Databricks. The position offers a competitive salary range of £70-£90k along with excellent benefits, including flexible working options.