Staff Machine Learning Engineer
Staff Machine Learning Engineer

Staff Machine Learning Engineer

London Full-Time No home office possible
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Happening Greater London, England, United Kingdom Join or sign in to find your next job Join to apply for the Staff Machine Learning Engineer role at Happening Continue with Google Continue with Google Happening Greater London, England, United Kingdom Join to apply for the Staff Machine Learning Engineer role at Happening As a Staff Machine Learning Engineer in our Fraud Prevention team, you will leverage your expertise to build robust fraud detection models that safeguard our platform in the fast-paced world of online gaming and sports betting. Through innovative data analysis and cutting-edge tools, you’ll play a key role in ensuring platform security and enhancing our services for hundreds of thousands of daily users. What you’ll you be doing: Fraud Detection Modeling developing and optimizing traditional ML algorithms such as gradient boosted trees in fraud detection or anomaly detection domains creating graph analyses and graph connection modelling creating usable datasets for explorative analysis and turn clues into leads and insights for ML modelling Data Engineering using SQL, Spark or Python for explorative analysis and feature engineering in a heavy tabular data environment building new and supporting existing Erlang based microservices that enable product features data engineering and working with relational DBs including data cleaning and preprocessing for ML pipelines and productionalization of the data pipelines using Snowflake, Airflow or DBT or similar tools designing and implementing efficient ML pipelines Collaborative Innovation creating impactful ML solutions and owing their implementation and improvements autonomously breaking down and estimating data science projects into timed deliverables working closely with cross-functional product and engineering teams communicating complex findings to stakeholders in a clear, understandable manner Performance Tuning optimizing models, continuously measuring and reacting to improve performance of ML solutions in production We\’re looking for someone with: A Master’s degree (or equivalent) in Machine Learning, Data Science, Statistics, Mathematics, or a related field Minimum 4 years of real world experience Strong analytical background with proven expertise in exploratory data analysis, feature engineering, and working with tabular datasets Proficiency in Python (including libraries like Scikit-learn) and SQL, with solid experience in relational databases Good knowledge and experience of the broader data science domains, especially large language models or computer vision models used for anomaly detection A track record in deploying machine learning pipelines using tools such as Airflow, SageMaker Pipelines or similar A talent for clean coding, simple solutions, automated testing and continuous deployment A passion for working in the cloud and automation Excellent problem-solving skills and the ability to break down complex data science projects into achievable deliverables Investigative mindset and attentive eye that looks for clues in tabular, sequential datasets Bonus points for: Experience with ML development and deployment tools such as ZenML, MLFlow, Airflow, … Experience with AWS Services such as EC2, EKS, Cloudformation, Cognito, … Experience with Kafka Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Happening by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. 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Staff Machine Learning Engineer
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