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.
Skills Required
- Strong Python skills
- Experience deploying, serving, and monitoring machine learning models in production
- Hands-on experience with GCP and its machine learning and data services
- Experience with Docker and Kubernetes
- Experience with CI/CD and infrastructure as code
- Experience building observability for ML or data systems, including metrics, alerting, and cost monitoring
- Security-minded approach to data access and secrets management
- Streaming or event-driven systems for real-time inference
- LLM and agent infrastructure, including MCP, retrieval-augmented generation, or vector stores
- Feature stores, model registries, and drift detection
- AWS experience, particularly managed Airflow (MWAA)
What We Do
Checkatrade is one of the UK’s top online marketplaces for home improvements and repairs. Our mission is to be the trusted foundation of every home by connecting people with trades and tools to make home improvements easy – because we believe safe and happy homes improve lives, support livelihoods, and build communities. From our humble beginnings in 1998 to becoming a national household name, we’re on an exciting journey. For more than 25 years Checkatrade has stood for reputation and raising standards – whether that is for our trade members, consumers, or our colleagues. We think big and are passionate about changing the face of home improvements and repairs. Today, we are a modern online marketplace and a force for good. We strive every day to support people to improve their homes and we don’t settle for the status quo – we are evolving, innovating, and growing. With generous investment from private equity partners Brookfield, we have an ambitious growth plan and a robust roadmap to get there. Led by our values – Be All In, Always Customer Obsessed, Get It Done, Be Bold, and Do The Right Thing – we are 500 high-performing individuals working across the UK, with high-spec offices in London and Portsmouth. We are here to be the best and inspire others to do the same, and to get there we need exceptionally talented, bright, and driven people – so if that sounds like you, you couldn’t join at a better time!
