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Machine Learning Operations Lead

Hunter Selection Limited

Bristol

Remote

GBP 70,000 - 90,000

Full time

Yesterday
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Job summary

A leading recruitment consultancy in the UK is seeking a Lead Machine Learning Operations Engineer. This pivotal position involves spearheading the development of a cutting-edge data platform, leading a team, and ensuring effective deployment and monitoring of ML models. Key qualifications include expertise in Azure and Databricks, strong communication skills, and a background in leadership. The role offers a salary ranging from GBP70k to GBP90k plus exceptional benefits such as a flexible working model and enhanced pension scheme.

Benefits

25 days holiday (rising with service)
Annual discretionary bonus
Enhanced pension scheme
Flexible working
Healthcare cash plan
Life assurance (4x salary)

Qualifications

  • Proven experience in ML Ops leadership, focusing on Azure and Databricks.
  • Strong understanding of cloud-native architectures.
  • Excellent communication skills and stakeholder management.

Responsibilities

  • Lead design and implementation of ML Ops pipelines.
  • Architect API services and caching layers.
  • Collaborate with teams to align ML infrastructure with business goals.

Skills

ML Ops leadership
Azure expertise
Databricks experience
Cloud-native architectures
Postgres knowledge
Redis familiarity
Scalable API design
Effective communication

Tools

Docker
Azure DevOps
GitHub
Job description
Overview

Lead Machine Learning Operations Engineer - Remote - GBP70-GBP90k + Excellent Benefits

We're 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 you'll guide a growing ML Ops team, architect scalable infrastructure, and ensure seamless deployment and monitoring of machine learning models in production.

Responsibilities
  • 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
Qualifications
  • 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
  • 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 & 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.

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