Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Machine Learning Operations Lead

Bristol
3 weeks ago
Create job alert

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

Related Jobs

View all jobs

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

Machine Learning Operations Engineer

AI & Machine Learning Specialist

Senior MLOps Engineer

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 to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.