[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-quality-guardrails":3,"seo-content-expertise-data-quality-guardrails-global":103,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-quality-guardrails":104,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-quality-guardrails":221},{"total":4,"jobs":5},1,[6],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":50,"processed_job_expertise_skills_labels":51,"max_cpc":4,"actual_cpc":102},59582,"principal-machine-learning-engineer-gbr006-refinitiv-limited","Principal Machine Learning Engineer",null,false,{"name":13,"slug":14,"logo_url":10},"Refinitiv Limited","refinitiv-limited",[16],"London",[18],"GB","onsite",120000,180000,"GBP","estimated",[25],"FULL_TIME","permanent",{"iam":28,"shap":28,"ci\u002Fcd":28,"mlops":28,"python":28,"pytorch":28,"xgboost":28,"telemetry":28,"tensorflow":28,"aws sagemaker":28,"observability":28,"data pipelines":28,"explainability":28,"feature stores":29,"drift detection":28,"gpu optimization":29,"model governance":28,"distributed training":29,"infrastructure as code":28},4,3,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49],"Python","AWS SageMaker","PyTorch","TensorFlow","XGBoost","SHAP","CI\u002FCD","Infrastructure as Code","MLOps","Model Governance","Explainability","Drift Detection","Observability","Telemetry","IAM","Data Pipelines","Feature Stores","Distributed Training","GPU Optimization",{"slos":28,"encryption":28,"versioning":28,"a\u002Fb testing":28,"ml security":28,"model cards":28,"auditability":28,"pii handling":28,"reason codes":28,"traceability":28,"scoring logic":28,"ranking models":29,"stem education":29,"canary rollouts":28,"entity matching":29,"golden datasets":28,"model hot paths":28,"reproducibility":28,"benchmark suites":28,"model validation":28,"privacy policies":28,"search relevance":29,"behavioural tests":28,"cost optimization":28,"cross-account iam":28,"data minimisation":28,"model calibration":28,"proactive failover":28,"scale optimization":28,"security standards":28,"shadow deployments":28,"compliance policies":28,"feature engineering":28,"shadow-mode testing":28,"telemetry pipelines":28,"similarity modelling":29,"confidence thresholds":28,"continuous validation":28,"regulatory compliance":28,"feature store adoption":29,"data quality guardrails":28,"optimization strategies":28,"performance engineering":28,"compliance documentation":28,"reliability optimization":28,"data minimisation policies":28,"model lifecycle management":28,"latency-sensitive inference":28,"machine learning architecture":28,"multi-account aws ml platforms":29},[52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101],"Machine Learning Architecture","Model Lifecycle Management","Model Validation","Performance Engineering","Security Standards","Compliance Documentation","Model Cards","A\u002FB Testing","Shadow Deployments","Canary Rollouts","Ranking Models","Search Relevance","Entity Matching","Similarity Modelling","Feature Engineering","Data Quality Guardrails","Model Calibration","Scoring Logic","Confidence Thresholds","Optimization Strategies","Reason Codes","Regulatory Compliance","Data Minimisation","PII Handling","Encryption","Auditability","Reproducibility","Versioning","Traceability","Golden Datasets","Behavioural Tests","Benchmark Suites","Latency-Sensitive Inference","Model Hot Paths","Cost Optimization","Scale Optimization","Reliability Optimization","SLOs","Telemetry Pipelines","Privacy Policies","Data Minimisation Policies","Compliance Policies","Proactive Failover","Shadow-Mode Testing","Continuous Validation","ML Security","Cross-Account IAM","Multi-Account AWS ML Platforms","Feature Store Adoption","STEM Education",0.5,{},{"industry":105,"employment_type":112,"expertise_skills":115,"it_skills":168,"salary_currency":217,"processed_working_hours":219},[106,109],{"key":107,"label":108,"count":4},"financial markets infrastructure","Financial Markets Infrastructure",{"key":110,"label":111,"count":4},"data","Data",[113],{"key":26,"label":114,"count":4},"PERMANENT",[116,118,120,122,124,127,129,131,133,135,137,139,141,143,145,148,150,153,155,157,159,161,163,166],{"key":117,"label":57,"slug":117,"count":4},"compliance-documentation",{"key":119,"label":74,"slug":119,"count":4},"data-minimisation",{"key":121,"label":82,"slug":121,"count":4},"behavioural-tests",{"key":123,"label":65,"slug":123,"count":4},"similarity-modelling",{"key":125,"label":126,"slug":125,"count":4},"cross-account-iam","Cross-Account Iam",{"key":128,"label":100,"slug":128,"count":4},"feature-store-adoption",{"key":130,"label":72,"slug":130,"count":4},"reason-codes",{"key":132,"label":66,"slug":132,"count":4},"feature-engineering",{"key":134,"label":70,"slug":134,"count":4},"confidence-thresholds",{"key":136,"label":60,"slug":136,"count":4},"shadow-deployments",{"key":138,"label":52,"slug":138,"count":4},"machine-learning-architecture",{"key":140,"label":77,"slug":140,"count":4},"auditability",{"key":142,"label":88,"slug":142,"count":4},"reliability-optimization",{"key":144,"label":69,"slug":144,"count":4},"scoring-logic",{"key":146,"label":147,"slug":146,"count":4},"stem-education","Stem Education",{"key":149,"label":81,"slug":149,"count":4},"golden-datasets",{"key":151,"label":152,"slug":151,"count":4},"pii-handling","Pii Handling",{"key":154,"label":95,"slug":154,"count":4},"shadow-mode-testing",{"key":156,"label":96,"slug":156,"count":4},"continuous-validation",{"key":158,"label":90,"slug":158,"count":4},"telemetry-pipelines",{"key":160,"label":83,"slug":160,"count":4},"benchmark-suites",{"key":162,"label":86,"slug":162,"count":4},"cost-optimization",{"key":164,"label":165,"slug":164,"count":4},"ml-security","Ml Security",{"key":167,"label":85,"slug":167,"count":4},"model-hot-paths",[169,172,174,177,179,181,184,186,189,192,194,196,199,201,204,207,209,212,214],{"key":170,"label":171,"slug":170,"count":4},"cicd","Ci\u002FCd",{"key":173,"label":31,"slug":173,"count":4},"python",{"key":175,"label":176,"slug":175,"count":4},"infrastructure-as-code","Infrastructure As Code",{"key":178,"label":48,"slug":178,"count":4},"distributed-training",{"key":180,"label":40,"slug":180,"count":4},"model-governance",{"key":182,"label":183,"slug":182,"count":4},"mlops","Mlops",{"key":185,"label":43,"slug":185,"count":4},"observability",{"key":187,"label":188,"slug":187,"count":4},"aws-sagemaker","Aws Sagemaker",{"key":190,"label":191,"slug":190,"count":4},"xgboost","Xgboost",{"key":193,"label":41,"slug":193,"count":4},"explainability",{"key":195,"label":42,"slug":195,"count":4},"drift-detection",{"key":197,"label":198,"slug":197,"count":4},"tensorflow","Tensorflow",{"key":200,"label":44,"slug":200,"count":4},"telemetry",{"key":202,"label":203,"slug":202,"count":4},"pytorch","Pytorch",{"key":205,"label":206,"slug":205,"count":4},"gpu-optimization","Gpu Optimization",{"key":208,"label":47,"slug":208,"count":4},"feature-stores",{"key":210,"label":211,"slug":210,"count":4},"iam","Iam",{"key":213,"label":46,"slug":213,"count":4},"data-pipelines",{"key":215,"label":216,"slug":215,"count":4},"shap","Shap",[218],{"key":22,"label":22,"count":4},[220],{"key":25,"label":25,"count":4},{"total":4,"jobs":222},[223],{"id":224,"slug":225,"title":226,"raw_title":10,"is_featured":227,"company":228,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":232,"processed_country_iso_code_gmaps":234,"processed_home_office":236,"processed_salary_min":237,"processed_salary_max":238,"processed_salary_currency":239,"processed_salary_source":10,"processed_working_hours":240,"processed_employment_types":114,"processed_it_skills":242,"processed_it_skills_labels":10,"processed_job_expertise_skills":243,"processed_job_expertise_skills_labels":244,"max_cpc":250,"actual_cpc":10},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":229,"slug":230,"logo_url":231},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[233],"Frankfurt am Main",[235],"DE","HYBRID",45000,65000,"EUR",[241],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[245,246,247,73,248,249],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]