Staff Machine Learning Engineer

New Yesterday

Our purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.
Its why were on a mission to create an automated quoting engine, with the simplest of experiences, wrapped in a brand everyone loves!
As a Staff Machine Learning Engineer, youll play a pivotal role in designing, scaling, and evolving the machine learning infrastructure that powers Compare the Markets most ambitious AI products. From LLM-based personalisation to real-time optimisation systems, youll help define how models are developed, deployed, and maintained in productionreliably and responsibly. Youll work across product, data science, and engineering to lead delivery of complex ML systems. Youll also define the core MLOps capabilities for the business and establish the standards and patterns that accelerate safe, scalable AI deployment across teams.
ML Systems Design & Delivery
Lead the architecture and delivery of ML systems that power real-time and batch predictions at scale
Design production pipelines for training, deployment, and monitoring using modern MLOps tooling
Take ownership of technical quality, resilience, and observability of critical ML services
Build reusable tools and frameworks to enable fast, safe experimentation and deployment
Platform, Standards & MLOps Foundations
Define and build the core MLOps capabilities for the organisation, including training pipelines, deployment frameworks, and observability tooling
Establish standardised patterns and best practices to accelerate model development, testing, and deployment
Lead the evolution of our ML platform, working with engineering partners to improve scalability, governance, and developer experience
Contribute to responsible ML practicessupporting auditability, explainability, and model health monitoring
Partner with data scientists to take models from prototype to production with clear interfaces and robust engineering
Provide mentorship, pair programming, and code reviews for other engineers across the AI function
Stay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practices
Influence long-term strategic direction for ML tooling and delivery across the organisation
Help build a high-performing, inclusive, and collaborative ML Engineering culture
Extensive experience designing and deploying ML systems in production
Deep technical expertise in Python and modern ML tooling (e.g. MLflow, TFX, Airflow, Kubeflow, SageMaker, Vertex AI)
Experience with infrastructure-as-code and CI/CD practices for ML (e.g. Strong understanding of ML system lifecycle: testing, monitoring, governance, observability
A background in software engineering, computer science, or a quantitative fieldor equivalent experience leading ML systems in production
Youll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people.
For us, its not just about a competitive salary and hybrid working, we care about what matters to you. From a generous holiday allowance and private healthcare to an electric car scheme and paid development, wellbeing and CSR days, weve pretty much got you covered!
#
Apply
Location:
Whetstone, Greater London
Job Type:
FullTime

We found some similar jobs based on your search