Machine Learning Operations Lead

Computerworld Personnel Ltd; Bristol; Remote; GBP 70,000 - 90,000; Full time

Job summary

A technology consultancy is seeking a Lead Machine Learning Operations Engineer to lead and optimize their data platform. This strategic role involves mentoring a team, architecting solutions, and ensuring effective model deployment. Candidates should have strong ML Ops leadership experience, particularly with Azure and Databricks. The position offers a competitive salary range of £70-£90k along with excellent benefits, including flexible working options.

Benefits

25 days holiday plus bank holidays

Annual discretionary bonus

Enhanced pension scheme

Flexible working 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

Qualifications

• Proven experience in ML Ops leadership required.
• Deep expertise in Azure and Databricks needed.
• Hands-on experience with Docker and container orchestration essential.

Responsibilities

• Lead design and implementation of ML Ops pipelines.
• Architect and oversee API services and caching layers.
• Drive integration with cloud-based data storage solutions.

Skills

ML Ops leadership

Azure expertise

Databricks

Postgres

Docker

Container orchestration

API design

Excellent communication

Stakeholder management

Tools

Azure DevOps

GitHub

Azure Cache for Redis

Snowflake

Delta Lake

Job description

Lead Machine Learning Operations Engineer - Remote - £70-£90k + 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.

What you'll 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 we're 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 & 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.