MLOps Engineer

Jaide Health; United Kingdom; On-site; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Competitive salary plus bonus

Private health cover

Life insurance

Pension and enhanced parental leave

Generous holiday allowance

Access to global learning and development programme

Job summary

Booksy is seeking a Senior ML / MLOps Engineer to join their Data Science & Applied AI team. The role is fully remote and involves collaborating closely with Data Scientists to transition ML models from prototype to production. Responsibilities include overseeing the ML workflow and ensuring performance within SLAs.

Ideal candidates will have strong Python and SQL skills, experience with GCP tools, and a solid understanding of CI/CD processes. This position offers competitive salary, health cover, and a generous holiday allowance.

Qualifications

• A track record of putting models into production with Data Scientists.
• Deep understanding of the ML lifecycle from prototype to production.
• Hands-on experience with GCP's Vertex AI and products.

Responsibilities

• Owning the productionisation of machine learning work end to end.
• Collaborating closely with Data Scientists and Engineering.
• Setting standards for MLOps across the organization.

Skills

Putting models into production

ML lifecycle understanding

Strong Python skills

Strong SQL skills

Hands-on GCP experience

CI/CD and production monitoring experience

Tools

Vertex AI

BigQuery

Terraform

Airflow

Job description

Senior ML / MLOps Engineer

A career at Booksy means you're part of a global team focused on helping people around the world feel great about themselves, every day. From empowering entrepreneurs to build successful businesses, to supporting customers in arranging their 'me time' moments, we're in the business of helping people thrive.

Working in a fast-moving scale-up where the ML platform is still being built, not inherited, is not for everyone. If you prefer a mature toolchain handed to you on day one, a narrow brief, and limited ownership, this likely isn't your place. But if you want to set the standards, own the path to production, and build something that stays healthy at real scale — you'll feel right at home.

As a Senior ML / MLOps Engineer, you'll be a foundational hire in our new Data Science & Applied AI function — working in close partnership with our Data Scientists to take intelligent systems from prototype to production, and keep them performing once they're live.

You'll own the productionisation of our machine learning work end to end: real-time serving against SLAs, a standardised CI/CD path to production, GenAI and RAG system deployment, and the monitoring infrastructure that catches drift and quality degradation before business KPIs move. You'll work on a GCP-native stack — Vertex AI, BigQuery, dbt, Airflow, and Terraform — on problems that matter from day one, with the autonomy to shape how the function scales and who joins it next.

You'll collaborate closely with Data Scientists, Platform, and Engineering, acting as both a technical owner and an advocate for Data Science needs across the organisation.

Essentially, to ensure you succeed in this role you're going to need...

• A track record of putting models into production alongside Data Scientists — classic ML, LLM/GenAI, or both
• Deep understanding of the ML lifecycle from prototype to production, including real-time serving, feature stores, autoscaling, and blue/green deployments
• Strong Python and SQL skills
• Hands-on GCP experience, especially Vertex AI, Kubeflow pipelines, and BigQuery — or strong fluency on an equivalent cloud with a clear ability to get to Vertex fast
• Solid CI/CD and production-monitoring experience, including model registries, versioning, drift detection, and automated retraining

At a minimum we require conversational-level English language skills. English is our company language and is used for business-wide communication.

It will also help you to have...

• Experience with LLM evaluation, observability tooling, or RAG systems in production
• Experience defining MLOps standards across multiple teams
• Exposure to cost and latency management for GenAI systems

Benefits

• This is a fully remote position across the UK, Spain, and Poland. We take pride in being a globally distributed team.
• Competitive salary plus bonus.
• Private health cover, life insurance, pension, and enhanced parental leave — with specifics tailored to your location.
• A generous holiday allowance plus public holidays.
• Access to a global learning and development programme, wellbeing support, and discounts across partner platforms.

How AI Helps Us Find Great People

Think of our AI tool as a really smart assistant for our recruitment team. Its job? To help us move faster, stay consistent, and make sure no great candidates are overlooked. Every application goes through the same AI review to help us spot skills that match the role — but don't worry, AI never makes the decisions. Real people do. Our recruiters and hiring managers handle every final call. And we regularly review how the tool is used to keep things fair, ethical, and compliant with data protection laws. Curious about how it works? You can always ask how AI was used in your application — it won't affect your chances in any way. If you have questions, just drop us a note — we're happy to explain more.

Our Diversity and Inclusion Commitment

We work in a highly creative and diverse industry so it goes without saying that we strive to create an inclusive environment for all. We welcome people from all backgrounds and are committed to fair consideration in our hiring process. If you have any accessibility needs or require reasonable adjustments during the interview process, please contact us at [e-mail] so we can best support you.

Kindly submit your application and CV in English to ensure it is successfully reviewed.