Machine Learning Engineer

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

Job summary

A leading technology recruitment consultancy is seeking a skilled Machine Learning Engineer for a remote role with a salary of £50-£70k. The successful candidate will work on developing and maintaining API services for a data platform, managing caching layers and cloud integrations. Responsibilities include collaboration in an agile environment, performance testing, and supporting analytics and model deployment. Ideal candidates should have solid ML Ops experience with Azure and Databricks, alongside strong problem-solving and communication skills.

Benefits

25 days holiday, plus bank holidays

Annual discretionary bonus

Enhanced Pension scheme

Flexible working options

Healthcare cash plan

Life assurance (4x salary)

Qualifications

• Solid experience in ML Ops, particularly with Azure and Databricks.
• Familiarity with Postgres, Redis, and Snowflake.
• Understanding of Delta Lake Architecture, Docker, and containers.

Responsibilities

• Developing API services using Azure and Databricks.
• Managing caching layers with Azure Cache (Redis).
• Conducting performance, load, and end-to-end testing.

Skills

ML Ops experience with Azure

Experience with Databricks

Strong problem-solving skills

Communication skills

Tools

Azure

Databricks

Postgres

Docker

Snowflake

Job description

Overview

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

We're looking for a skilled Machine Learning 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.

Responsibilities

• 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)

Qualifications

• 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

• 25 days holiday, 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 maternity and paternity 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'.

Hunter Selection Limited is a recruitment consultancy with offices UK wide, specialising in permanent & contract roles within Engineering & Manufacturing, IT & Digital, Science & Technology and Service & Sales sectors.

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.