Machine learning engineer ai mlops

Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you #39;ll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: GBP(phone number removed) (Mid-Lead) I #39;d consider experienced contractors with a rate of GBP400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired / what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps / DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you #39;re looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one #39;s for you. They have big plans to disrupt the industry with this machine learning work, so it #39;s a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency