MLOps Engineer

Checkatrade

Moorgate London +1 more

Hybrid

Who this role is best for

Aimed at mid-to-senior level MLOps engineers who value collaboration with Data Scientists and are comfortable with hybrid or on-site work arrangements in London or Barcelona.

Best fit for

Candidates with strong Python skills and a track record of deploying ML models in production environments
— “Strong Python, with proven experience deploying, serving and monitoring ML models in production.”
Individuals experienced in GCP and who are comfortable working with legacy systems to modernize them
— “Help keep our GCP-based data platform (with some infrastructure in AWS) reliable and secure, and chip away at legacy and technical debt.”
Professionals who take ownership of systems and focus on long-term reliability and observability
— “You take ownership of production systems and care about them long after launch, and you work well with Data Scientists and engineers alike.”

Things to consider

The role requires on-site or hybrid presence in either London or Barcelona, depending on the team's needs.
— “You'll report to the Head of Data Engineering, in Barcelona (on-site) or London (hybrid).”
Candidates should be prepared to work with multiple cloud platforms, including both GCP and AWS.
— “Help keep our GCP-based data platform (with some infrastructure in AWS) reliable and secure.”

How to stand out

Highlight experience with model versioning and CI/CD pipelines in your resume and interviews.
— “Set the MLOps standards for the Data Science team: CI/CD, model versioning and reusable patterns.”
Demonstrate your ability to build secure data access systems and manage sensitive information.
— “A security-minded approach to data access and secrets management.”
Emphasize your background in observability for ML systems, including metrics and cost monitoring.
— “Experience building observability for ML or data systems: metrics, alerting and cost monitoring.”
Showcase your work with AI tools and agents, particularly in retrieval-augmented generation or vector stores.
— “LLM and agent infrastructure (MCP, retrieval-augmented generation, vector stores).”

Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

Deploy, automate, monitor and retrain ML models
Set MLOps standards for the Data Science team
Build infrastructure for AI tools and agents to access data securely
Help keep the data platform reliable and secure

Typical background

Experience deploying, serving and monitoring ML models in productionHands-on experience with GCP and its ML and data servicesDocker and Kubernetes

Skills & requirements

Required

PythonGCPDockerKubernetesCI/CDInfrastructure-as-codeObservabilitySecurity

Preferred

AWSManaged AirflowFeature StoresModel RegistriesDrift Detection

Stack & domain

PythonGCPDockerKubernetesCI/CDInfrastructure-as-codeObservabilityMetricsAlertingCost MonitoringData AccessSecrets ManagementLeadershipCommunicationProblem-solvingAdaptabilityOrganizationPrioritizationAIData ScienceMachine LearningCloud ComputingData Engineering

About the role

Original posting from Checkatrade via Ashby

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 https://jobs.ashbyhq.com/checkatrade/form/register-interest 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.

Source: Checkatrade careers (Ashby)