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Join to apply for the Staff Machine Learning Engineer role at Compare the Market1 day ago Be among the first 25 applicantsJoin to apply for the Staff Machine Learning Engineer role at Compare the MarketOur purpose is to make great financial decision making a breeze for everyone, and that purpose drives us every day.Do you have the right skills and experience for this role Read on to find out, and make your application.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 & DeliveryLead the architecture and delivery of ML systems that power real-time and batch predictions at scaleDesign production pipelines for training, deployment, and monitoring using modern MLOps toolingTake ownership of technical quality, resilience, and observability of critical ML servicesBuild reusable tools and frameworks to enable fast, safe experimentation and deploymentPlatform, Standards & MLOps FoundationsDefine and build the core MLOps capabilities for the organisation, including training pipelines, deployment frameworks, and observability toolingEstablish standardised patterns and best practices to accelerate model development, testing, and deploymentLead the evolution of our ML platform, working with engineering partners to improve scalability, governance, and developer experienceContribute to responsible ML practicessupporting auditability, explainability, and model health monitoringTechnical Leadership & CollaborationPartner with data scientists to take models from prototype to production with clear interfaces and robust engineeringLead cross-team technical design sessions and architectural reviewsProvide mentorship, pair programming, and code reviews for other engineers across the AI functionInnovation & CultureStay ahead of developments in MLOps, LLM infrastructure, and AI engineering best practicesInfluence long-term strategic direction for ML tooling and delivery across the organisationHelp build a high-performing, inclusive, and collaborative ML Engineering cultureWhat wed like to see from you:Extensive experience designing and deploying ML systems in productionDeep 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 inferenceStrong understanding of ML system lifecycle: testing, monitoring, governance, observabilityExcellent collaboration and communication skills; able to influence cross-functional teams and lead complex technical workA background in software engineering, computer science, or a quantitative fieldor equivalent experience leading ML systems in productionTheres 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 levelSeniority levelMid-Senior levelEmployment typeEmployment typeFull-timeJob functionJob functionEngineering and Information TechnologyIndustriesSoftware DevelopmentReferrals increase your chances of interviewing at Compare the Market by 2xGet notified about new Machine Learning Engineer jobs in London Area, United Kingdom.London, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 19 hours agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 week agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 1 month agoGraduate Software Engineer ML Data PlatformMachine Learning Scientists and Engineers: AI for QuantumLondon, England, United Kingdom 2 months agoLondon, England, United Kingdom 2 days agoLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 5 months agoLondon, England, United Kingdom 5 months agoLondon, England, United Kingdom 5 months agoLondon, England, United Kingdom 2 weeks agoLondon, England, United Kingdom 4 weeks agoLondon, England, United Kingdom 50,000.00-60,000.00 1 month agoMachine Learning Engineer - Search and RecommendationLondon, England, United Kingdom 1 month agoLondon, England, United Kingdom 4 days agoLondon, England, United Kingdom 2 weeks agoGraduate Software Engineer 2025 - RegTechLondon, England, United Kingdom 2 weeks agoGreater London, England, United Kingdom 4 weeks agoLondon, England, United Kingdom 5 days agoWere unlocking community knowledge in a new way. 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