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Staff Machine Learning Engineer (London)

Compare the Market
London
3 days ago
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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! We change lives by making it simple to switch and save money and thats why good things happen when you meerkat. Wed love you to be part of our journey! 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. This is a high-impact, hands-on leadership role. 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. Everyone is welcome! We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing their authentic, whole selves to work. Everyone is welcome. Be you. This means were excited to hear from people with a range of skills, experiences and ideas. We dont expect you to tick all the boxes, but would love to hear what makes you great for this role. Some of the great things youll do: 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

Technical Leadership & Collaboration

  • Partner with data scientists to take models from prototype to production with clear interfaces and robust engineering
  • Lead cross-team technical design sessions and architectural reviews
  • Provide mentorship, pair programming, and code reviews for other engineers across the AI function

Innovation & Culture

  • 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

What wed like to see from you:

  • 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. Terraform, GitHub Actions, ArgoCD)
  • Proven ability to build reusable tooling, scalable services, and resilient pipelines for real-time and batch inference
  • Strong understanding of ML system lifecycle: testing, monitoring, governance, observability
  • Excellent collaboration and communication skills; able to influence cross-functional teams and lead complex technical work
  • A background in software engineering, computer science, or a quantitative fieldor equivalent experience leading ML systems in production

Theres something for everyone. Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported by a team of amazingly talented people. And then theres our benefits. 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!

Seniority level

  • Seniority level

    Mid-Senior level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Engineering and Information Technology

  • Industries

    Software Development

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