Senior Machine Learning Engineer

We are currently partnering with an innovative technology company to recruit a Senior Machine Learning Engineer / MLOps Engineer.This is an exciting opportunity to join a highly skilled engineering team where you’ll help build and scale production?grade machine learning systems that solve complex, real?world challenges using modern AI technologies.No espere a enviar su solicitud después de leer esta descripción; se espera un gran volumen de candidaturas para esta oportunidad.Your ResponsibilitiesDesign, build, and maintain end?to?end machine learning pipelines, from data ingestion and model training through to deployment and monitoring.Deploy, operate, and optimise machine learning models in production environments, ensuring reliability, scalability, and performance.Develop scalable data pipelines supporting both batch and real?time machine learning workloads.Build and improve ML infrastructure, automation, CI/CD processes, and operational tooling.Collaborate closely with data scientists to productionise machine learning models and translate research into robust production systems.Partner with software engineers to integrate ML services into larger backend platforms and applications.Contribute to cloud?native ML platforms using containerisation and orchestration technologies.Drive continuous improvements to system architecture, observability, performance, and engineering best practices.Document workflows, infrastructure, and technical solutions while sharing knowledge across the engineering team.Your ProfileSeveral years of professional experience developing and operating production machine learning systems.Strong Python programming skills with experience using frameworks such as PyTorch, TensorFlow, or JAX.Experience deploying and managing ML models throughout the complete machine learning lifecycle.Strong background building scalable data pipelines using technologies such as Apache Spark, Airflow, Prefect, or similar tools.Experience working with cloud platforms including AWS, Azure, or Google Cloud Platform.Good knowledge of Docker, Kubernetes, CI/CD pipelines, and infrastructure automation.Familiarity with distributed systems and designing scalable, reliable software architectures.Experience collaborating across multidisciplinary engineering teams.You’re ambitious, invested in the company’s long?term success, and eager to grow from a senior engineering role into a future technical leadership or management position.Excellent analytical thinking, problem?solving abilities, and communication skills.Ideally, you will also bring experience with one or more of the following:Distributed training or GPU?accelerated machine learning.Performance optimisation for model training or inference.Streaming or real?time data processing.Scientific computing, simulation, or data?intensive applications.Reinforcement learning, explainable AI, transfer learning, or other advanced ML techniques.Opportunity to work on cutting?edge machine learning solutions with real?world impact.Join a collaborative team of experienced engineers, data scientists, and technical specialists.Work with modern cloud?native technologies and industry?leading ML tooling.Excellent opportunities for professional development and technical growth.xcskxljFlexible working environment with a strong engineering culture focused on innovation and continuous improvement.If you’re passionate about building scalable, production?ready machine learning systems and want to make a meaningful impact, we’d love to hear from you.#J-*****-Ljbffr

Several years of professional experience developing and operating production machine learning systems. Strong Python programming skills with experience using frameworks such as PyTorch, TensorFlow, or JAX. Experience deploying and managing ML models throughout the complete machine learning lifecycle. Strong background building scalable data pipelines using technologies such as Apache Spark, Airflow, Prefect, or similar tools. Experience working with cloud platforms including AWS, Azure, or Google Cloud Platform. Good knowledge of Docker, Kubernetes, CI/CD pipelines, and infrastructure automation. Familiarity with distributed systems and designing scalable, reliable software architectures. Experience collaborating across multidisciplinary engineering teams. You’re ambitious, invested in the company’s long?term success, and eager to grow from a senior engineering role into a future technical leadership or management position. Excellent analytical thinking, problem?solving abilities, and communication skills. Ideally, you will also bring experience with one or more of the following: Distributed training or GPU?accelerated machine learning. Performance optimisation for model training or inference.

Reinforcement learning, explainable AI, transfer learning, or other advanced ML techniques. Opportunity to work on cutting?edge machine learning solutions with real?world impact. Join a collaborative team of experienced engineers, data scientists, and technical specialists. Work with modern cloud?native technologies and industry?leading ML tooling. Excellent opportunities for professional development and technical growth. xcskxlj Flexible working environment with a strong engineering culture focused on innovation and continuous improvement. If you’re passionate about building scalable, production?ready machine learning systems and want to make a meaningful impact, we’d love to hear from you. #J-*****-Ljbffr