MLOps Engineer

Checkatrade is hiring a MLOps Engineer. Level rates it ; you can apply on Level.

AI in this role

claude

ragml-ops

Powering Great Work

We started as the place to find a trusted trade. Now, as we shape the future of home improvement, we're building the tech to transform that landscape for everyone - better products, smarter data, AI where it actually helps - so trades can spend less time on admin and consumers can find someone they trust, first time. That's Powering Great Work, and it's why every team here exists:

🔧 Trades spend less time on admin and more on winning work and growing their business

🏠 Homeowners get a trusted trade, first time, every time

🚀 We get to build products that change homes and lives across the country

As our next MLOps Engineer, you'll own how machine learning and AI run in production at Checkatrade. You'll turn our Data Scientists' models into live, reliable services, and build the secure foundations that let AI tools and agents use our data. You'll report to the Head of Data Engineering, in Barcelona (on-site) or London (hybrid).

The job, unfiltered:

Deploy, automate, monitor and retrain ML models, moving refresh frequency towards real-time where it adds value.
Set the MLOps standards for the Data Science team: CI/CD, model versioning and reusable patterns that save everyone reinventing the wheel.
Build the infrastructure that lets AI tools and agents (including Claude, MCP services and knowledge bases) access Checkatrade data securely.
Help keep our GCP-based data platform (with some infrastructure in AWS) reliable and secure, and chip away at legacy and technical debt.
Watch models, pipelines, AI usage and platform services, so drift, reliability and cost issues get caught early.
Apply the right controls to ML and AI workloads, including sensitive-data access, lineage and reproducibility.

The fit:

Strong Python, with proven experience deploying, serving and monitoring ML models in production.
Hands-on experience with GCP and its ML and data services.
Docker and Kubernetes, plus CI/CD and infrastructure-as-code.
Experience building observability for ML or data systems: metrics, alerting and cost monitoring.
A security-minded approach to data access and secrets management.
You take ownership of production systems and care about them long after launch, and you work well with Data Scientists and engineers alike.
You favour simple, maintainable solutions and raise the engineering bar around you.

Nice to have:

Streaming or event-driven systems for real-time inference.
LLM and agent infrastructure (MCP, retrieval-augmented generation, vector stores).
Feature stores, model registries and drift detection.
AWS experience, particularly managed Airflow (MWAA).

(Don't self-select out because you don't tick every box. We'd rather meet you.)

What you get

💰 Competitive salary, annual bonus & equity scheme

🩺 Health, wellbeing and learning support

🚲 Gym membership, Smart Tech Scheme, Cycle Scheme

🎂 Birthday/special day leave, buy & sell holiday scheme

❤️ 1 week's paid charity leave, and more

How this goes

Screening call with one of our Talent Acquisition Partners
Interview with the hiring manager and members of the team
Final stage with a senior stakeholder

Not this one? Stay close anyway. Join the Talent Community and we'll ping you the second something better fits.

About us

We’re Checkatrade – the UK’s leading platform for finding a tradesperson. With more than 50,000 trades listed and over 6 million reviews, we help homeowners get jobs done right and help tradespeople grow their business.

We’re growing fast, with big plans to become the go-to brand for home improvements. If you care about great work, take pride in the details, and want to make an impact, you’ll fit right in.

How we rate this

MLOps Engineer at Checkatrade rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

MLOps Engineer is an open job at Checkatrade.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Moorgate London.
The job was posted on October 14, 2026.
Applications are handled by Checkatrade. Apply on Checkatrade

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGML OpsClaude

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you monitor a model once it's live, and how do you know it needs retraining?
What are the limits of Claude that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: RAG, ML Ops, and Claude. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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