Machine Learning Operations Lead

Bristol
5 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Manager

Senior Data engineer - Databricks

Lead Machine Learning Engineer

Lead Machine Learning Engineer

Machine Learning Engineer - Customer Solutions

Machine Learning Workflow Engineer

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

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.