Salary: £35,000 - 75,000 per year Requirements: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM, or CatBoost. Experience with model deployment tools (e.g., ONNX, TensorRT, TensorFlow Serving, TorchServe). Familiarity with ML lifecycle tools such as MLflow, Kubeflow, or Azure ML Pipelines. Experience working with distributed data processing (e.g., PySpark) and SQL. Understanding of software engineering best practices, including version control (Git). Knowledge of CI/CD principles in ML environments. Experience with cloud-native ML platforms is advantageous. A collaborative mindset and strong communication skills. A thoughtful, structured approach to problem solving. A commitment to continuous learning and professional growth. The confidence to contribute ideas while valuing diverse perspectives. Responsibilities: Deploying, monitoring, and scaling machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Technologies: AI Azure CI/CD Cloud Git Keras Kubeflow Machine Learning PyTorch Python PySpark SQL TensorFlow numpy pandas Network More: At DXC Technology, we are a leading independent IT services company dedicated to helping organizations thrive through innovation and change. With a presence in 70 countries and nearly 6,000 clients, we pride ourselves on our corporate responsibility and inclusive workplace practices. By joining our team as a Machine Learning Ops Engineer, youll work on meaningful AI projects with real-world impact, in a supportive and diverse environment. We offer competitive salaries, a comprehensive benefits package, flexible working arrangements, and a culture that promotes well-being and work-life balance. We value potential, curiosity, and a willingness to learn, and we encourage applications from individuals with diverse backgrounds. last updated 12 week of 2026