Ml Engineer-Immediate Joiner- UK Shift timings

Role & responsibilities Hands-on experience with Azure ML Building, deploying, and managing ML pipelines. / Model testing • Python scripting or programming experience. (At least to write any automation notebook etc) Observability experience Azure Monitor for logs, metrics, and traces. (OTel) Strong IaC knowledge Proficient in Terraform, Pulumi, and Bicep for cloud infrastructure automation. CI/CD for ML Models – Experience with GitHub Actions for model deployment/infra deployment. Basic understanding of DevOps / MLOps / AIOps principles. Some understanding of ML lifecycle and monitoring would help Cloud and Security Best practices awareness Ability to explain the technical work to both tech and non-tech stakeholders Programming in any of the following: Python, R, Java, JavaScript, GO or similar Working experience of Architecture implementation on end-to-end operations of Machine learning projects from scratch MLOps experience including Linux and Windows command line control, scripting, source code control (such as GitHub), containers (including Docker, Kubernetes) and orchestration tools Experience in different tools such as serverless functions, DevOps tools to build training and inference pipelines, Monitoring or similar • Data Storage Technologies: SQL, NoSQL, Hadoop, cloud-based databases such as GCP BigQuery, and different storage formats (e.g. Parquet, etc.) • Data Processing Tools: Python (Numpy, Pandas, etc.), Spark, cloud-based solutions such as GCP DataFlow • Machine Learning Libraries: Python (scikit-learn, genism, etc.), TensorFlow, Keras, PyTorch, Spark MLlib; Cloud certifications are a plus • Demonstrated ability to create end-to-end technology prototypes and/or machine learning models for a given business use case or application. • Demonstrated experience with rapid prototyping, using agile approaches to quickly test new ideas and fail fast. • Demonstrated ability to apply a business framing to emerging technology solutions and communicate to business audiences in written and verbal formats. • Things, Virtual Reality, Augmented Reality, and Robotics. Qualifications: • Bachelor’s degree in computer science, Information Technology, or related field. • Proven experience as a ML Engineer or similar role. • Strong problem-solving skills and attention to detail. • Ability to work both independently and as part of a team. • Excellent communication and interpersonal skills. Preferred Qualifications: • Experience with cloud platforms, particularly Azure. • Familiarity with additional machine learning libraries such as TensorFlow, scikit-learn, or PyTorch. • Certification in RPA or machine learning technologies is a plus.