MLOps Engineer

Job Role: MLOps Engineer
Employment Type: Permanent
Remote/Hybrid or Office Based: Remote-first working with occasional travel

About us
FT Select is a niche technology search and selection company, specialising in recruiting elite Sales Executives and high-end Technology specialists for high-growth tech businesses.

About the Company
We’re passionate about pets, which is why our mission is to make the world a better place for pets and their parents. We provide pet insurance policies with generous health benefits, thoughtfully designed to support the needs and wellbeing of pets at every stage of life.
Since 2017, we’ve helped more than half a million pets live happier, healthier lives, and we continue to welcome new customers from around the world every day.
Our culture is built on respect, curiosity, and a genuine love for what we do. Across the business, you’ll find people who think differently, strive for meaningful impact, and aren’t afraid to try new ideas all united by a shared passion for pets and their wellbeing.

Key Responsibilities
· Design, build, and deploy AI / Machine Learning systems in production to solve business problems.
· Translate problem statements into scalable AI/ML solutions, focusing on model implementation, performance, and reliability.
· Own the end-to-end engineering of AI/ML pipelines, from data ingestion through deployment and monitoring.
· Contribute to shaping and evolving our MLOps strategy, including model monitoring, retraining pipelines, and best practices for versioning and deployment.
· Evaluate and implement new tools and frameworks to improve our end-to-end AI/ML lifecycle, from experimentation to production.
· Collaborate with product managers, engineers, and data engineers to integrate models and ensure robust data pipelines and infrastructure.
· Understanding advanced statistical analysis, machine learning, and data mining to identify patterns and generate actionable insights.
· Communicate complex models and findings to stakeholders through visualisations, reports, and presentations.
· Stay updated on emerging trends in data science, ML/AI, and the pet insurance industry; implement new tools and frameworks to enhance workflows.
· Participate in Agile or Kanban methodologies, contributing to a collaborative, flexible team environment.
· Maintain strong awareness of data privacy and security requirements, ensuring compliance with relevant regulations.

Requirements & Skills
Required Skills & Experience
Essential:

· Hands-on experience with cloud-based machine learning platforms (e.g., SageMaker, Vertex AI, Azure ML, or similar).
· Experience architecting and maintaining CI / CD pipelines that deliver models into production.
· Comfortable working with cloud infrastructure and Infrastructure as Code (IaC), ideally with Terraform or CDK, to support scalable ML systems.
· Strong understanding of data governance, data lineage, and security practices.
· Ability to communicate effectively with both technical and non-technical audiences.
· Enthusiasm for working in an Agile/Kanban setup within a fast-paced, scale-up environment.

Desirable:

· Experience with online and offline feature stores.
· Experience with cloud-based GPU model training.
· Hands on experience with continuous model training.
· Hands on experience with model monitoring and model explainability.
· Experience working in a highly regulated environment.
· Experience deploying, scaling and optimizing ML and AI models.
· Experience with libraries such as Scikit-learn, XGBoost, LightGBM, TensorFlow, or PyTorch.
· Full-stack Data Science experience from training and deploying AI/ML models.
· Insurance industry experience.