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Machine Learning Operations Lead

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Operations Lead, offering a remote contract for 6-12 months with a pay rate of GBP70-GBP90k. Key skills include Azure, Databricks, and cloud-native architectures, with proven ML Ops leadership experience required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
October 4, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Bristol, England, United Kingdom
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🧠 - Skills detailed
#API (Application Programming Interface) #Infrastructure as Code (IaC) #Redis #ML Ops (Machine Learning Operations) #Containers #Azure Databricks #Data Storage #Cloud #Leadership #Azure #Azure DevOps #Delta Lake #GitHub #Storage #DevOps #Monitoring #Databricks #Snowflake #Deployment #Docker #Model Deployment #Data Science #ML (Machine Learning) #"ETL (Extract #Transform #Load)" #Scala
Role description
Lead Machine Learning Operations Engineer : Remote : GBP70:GBP90k + Excellent Benefits Were seeking a Lead Machine Learning Operations Engineer to spearhead the development and optimisation of our cutting:edge data platform. This is a strategic, hands:on leadership role where youll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production. What Youll Be Doing As Lead ML Ops Engineer • Leading the design and implementation of robust ML Ops pipelines using Azure, Databricks, and Delta Lake • Architecting and overseeing API services and caching layers (e.g., Azure Cache for Redis) • Driving integration with cloud:based data storage solutions such as Snowflake • Collaborating with data scientists, engineers, and product teams to align ML infrastructure with business goals • Establishing best practices for model deployment, monitoring, and lifecycle management • Conducting performance tuning, load testing, and reliability engineering • Managing CI/CD workflows and infrastructure as code via Azure DevOps and GitHub • Mentoring junior engineers and fostering a culture of technical excellence and innovation What were looking for from the Machine Learning Operations Lead: • Proven experience in ML Ops leadership, with deep expertise in Azure, Databricks, and cloud:native architectures • Strong understanding of Postgres, Redis, Snowflake, and Delta Lake Architecture • Hands:on experience with Docker, container orchestration, and scalable API design • Excellent communication and stakeholder management skills • Ability to drive strategic initiatives and influence technical direction • Bonus: experience with Azure Functions, Azure Containers, or Application Insights Benefits For The Machine Learning Operations Engineer • 25 days holiday (rising with service) + 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) • 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 and contract roles within Engineering and Manufacturing, IT and Digital, Science and Technology and Service and Sales sectors. Please note as we receive a high level of applications we can only respond to applicants whose skills and 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.