Machine Learning Operations Engineer

Computerworld Personnel Ltd; Bristol; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading technology recruitment agency in the UK is looking for a skilled Machine Learning Operations Engineer for a remote role. You will be responsible for building and maintaining the infrastructure that supports machine learning models. Ideal candidates should have solid experience in ML Ops, especially with Azure and Databricks. The position offers a competitive salary, excellent benefits including flexible working options, and a supportive team environment.

Benefits

25 days holiday

Annual discretionary bonus

Enhanced Pension scheme

Flexible working options

Healthcare cash plan

Electric vehicle salary sacrifice scheme

Wellbeing app

Enhanced maternity and paternity leave

Life assurance

Cycle to Work scheme

Qualifications

• Experience with Azure and Databricks in an ML Ops context.
• Familiar with Postgres, Redis, and Snowflake.
• Knowledge of Docker and container services.

Responsibilities

• Develop and maintain API services using Azure and Databricks.
• Manage caching layers with Azure Cache (Redis).
• Integrate with cloud-based data storage solutions like Snowflake.
• Conduct performance, load, and end-to-end testing.

Skills

ML Ops experience

Azure

Databricks

Postgres

Redis

Snowflake

Problem-solving

Communication

Tools

Azure DevOps

Docker

Job description

Machine Learning Operations Engineer - Remote - £50-£70k + excellent benefits

We're looking for a skilled Machine Learning Operations Engineer to join a newly established team working on an exciting data platform project. This is a hands‑on role where you'll help build and maintain the infrastructure that supports machine learning models in a live environment.

What you'll be doing as the Machine Learning Operations Engineer

• Developing and maintaining API services using Azure and Databricks
• Managing caching layers with Azure Cache (Redis)
• Using Delta Live Tables for data processing and analytics
• Integrating with cloud-based data storage solutions like Snowflake
• Collaborating with cross‑functional teams in an agile environment
• Supporting analytics, model deployment, and data‑driven decision tools
• Conducting performance, load, and end‑to‑end testing
• Writing pipeline code and managing deployments via Azure DevOps (GitHub)

What we're looking for from the Machine Learning Operations Engineer

• Solid experience in ML Ops, particularly with Azure and Databricks
• Familiarity with Postgres, Redis, and Snowflake
• Understanding of Delta Lake Architecture, Docker, and container services
• Experience building and orchestrating APIs
• Strong problem‑solving and communication skills
• Bonus: exposure to Azure Functions, Containers, or Insights

Benefits for the Machine Learning Operations Engineer

• 25 days holiday (rising with service), plus bank holidays
• Annual discretionary bonus
• Enhanced Pension scheme
• Flexible working and flexi‑time options
• Healthcare cash plan
• Electric vehicle salary sacrifice scheme
• Discounts scheme
• Wellbeing app
• Enhanced mat and pat leave
• Life assurance (4x salary)
• Discounts on insurance
• Cycle to Work scheme
• Employee referral scheme

If you are interested in this position please click 'apply'.

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.

For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business.