Machine Learning Engineer

Title – ML Engineer Location: London UK Work Mode : Hybrid (Weekly twice) Job Description • Redis cluster setup • Kafka/Flink streaming pipelines • S3 Data pipeline • Real time micro batches implementation (5 minutes, hourly, daily) • Mongo/Atlas as alternative implementation (we might land with S3 instead) • SageMaker MLOps / SageMaker Training / SM Model Deployment • Pytorch • Design machine learning systems: You will work on building and implementing machine learning models and deploying these models into production. • Data analysis: You will be responsible for improving data quality through data cleaning, validation, and transformation so that it can be used effectively by the machine learning models. • Educate the team: As our machine learning expert, you will also have the opportunity to teach others about machine learning principles and help them understand how these principles can be applied to our products. • Stay updated: You should stay abreast of latest trends and developments in machine learning, ensuring we continue to innovate. Qualifications • Bachelor's Degree in Computer Science, Statistics, Applied Math or related field. • 8+ years of practical experience with machine learning, algorithm design, data modeling, and software development. • Hands-on experience in machine learning, predictive modeling and analysis, and cross-functional collaboration. • Proficient in Python, R, Java or C++ programming languages. • Experience with Hadoop, Hive, Spark, SQL or other big data technologies. • Excellent communication skills, as this role will collaborate with both technical and non-technical colleagues.