Machine Learning Engineer

Hunter Selection Limited; Remote; GBP 50,000 - 70,000; Full time

Job summary

A leading recruitment consultancy is seeking a skilled Machine Learning Engineer for a remote role with a focus on building and maintaining infrastructure for machine learning models. You'll be responsible for developing API services, managing caching layers, and integrating cloud data storage solutions. Ideal candidates should have significant experience with Azure, Databricks, and solid problem-solving skills. The position also includes a competitive salary range of £50k-£70k, along with excellent benefits that enhance work-life balance.

Benefits

25 days holiday

Annual discretionary bonus

Enhanced Pension scheme

Flexible working options

Healthcare cash plan

Electric vehicle salary sacrifice scheme

Wellbeing app

Life assurance (4x salary)

Cycle to Work scheme

Employee referral scheme

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.

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.

Skills

Machine Learning Operations

API development

Azure

Databricks

Problem-solving

Communication skills

Tools

Postgres

Redis

Snowflake

Docker

Azure DevOps

Job description

Overview

Machine Learning Engineer - Remote - GBP50-GBP70k + 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 (rising with ), 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'.

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.