Data / Machine Learning Ops Engineer

• 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.

• 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.

* Opportunity to shape the future of AI adoption within some of the UK's most impactful industries. * Collaborative, forward-thinking environment with continuous learning and development opportunities. At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.