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. 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 More: We are DXC Technology, committed to building diverse, inclusive teams. We welcome applications from all backgrounds, particularly encouraging interest from women, underrepresented groups, and neurodivergent candidates. We offer roles in various locations including Erskine, Newcastle, Farnborough, or London. By joining our team, you will be part of a cutting-edge AI community driving digital transformation across the UK&I, working at the intersection of business innovation and emerging AI technologies with ample opportunities for continuous learning and development. last updated 18 week of 2026