Mlops Engineer - Machine Learning / DevOps

Location: London

We are looking for a highly skilled and experienced Senior MLOps Engineer to join our team. This role will be involved in designing, implementing, and maintaining robust and scalable machine learning pipelines. This person will possess a strong background in DevOps practices, machine learning principles, and cloud computing platforms. You will work closely with data scientists and software engineers to streamline the deployment and monitoring of machine learning models, ensuring efficiency and reliability in ML operations. You’ll benefit by gaining exposure to a wide range of tools and technologies that you can then put into practice and become certified on various Cloud (and related) technologies that will help you to develop your own toolkit.
Software Engineering:
• Proficiency in programming languages used in ML, such as Python/Java.
• Knowledge of software development best practices and methodologies.
• Understanding of data structures and algorithms.
• Ability to design and develop scalable, efficient, and maintainable software systems.
• Machine Learning (ML):
• Deep understanding of machine learning principles, algorithms, and techniques.
• Experience with popular ML frameworks and libraries like TensorFlow, PyTorch, scikit-learn, or Apache Spark.
• Proficiency in data preprocessing, feature engineering, and model evaluation.
• Knowledge of ML model deployment and serving strategies, including containerization and microservices.
• Familiarity with ML lifecycle management, including versioning, tracking, and model monitoring.
• Ability to optimize and fine-tune ML models for performance and accuracy.
• Understanding of statistical analysis and experimental design.
• Proficiency in data visualization and interpretation of ML results.
Proven experience as an MLOps Engineer or in a similar role, with an excellent understanding of AI/ML lifecycle management.
• Strong experience deploying and productionizing ML models.
• Familiarity with data engineering concepts, including data pipelines, ETL processes, and big data technologies.
• Excellent problem-solving skills and the ability to troubleshoot complex issues in AI/ML systems.
AWS, Google Cloud, Azure) and containerization tools (e.g., Proficiency in programming languages such as Python, experience with AI/ML frameworks (e.g., Sagemaker pipelines, Azure ML Studio, VertexAI, Kubeflow, MLFlow, Seldon, EvidentlyAI).
We are committed to your continuous learning and development. With our Career Navigator tool as just one example, GlobalLogic offers a rich array of programs, training curricula, and hands-on opportunities to grow personally and professionally.
As part of our team, you’ll have the chance to work on projects that matter. Each is a unique opportunity to engage your curiosity and creative problem-solving skills as you help clients reimagine what’s possible and bring new solutions to market. Your life extends beyond the office, and we always do our best to help you integrate and balance the best of work and life, having fun along the way!
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Phone
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