Data/Machine Learning Ops Engineer
DXC Technology
full-time
Posted on:
Location Type: Hybrid
Location: Newcastle • United Kingdom
Visit company websiteExplore more
About the role
- 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.
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.
Benefits
- Competitive salary
- Pension scheme
- DXC Select – comprehensive benefits package including private medical insurance, gym membership, and more.
- Perks at Work – discounts on technology, groceries, travel and more.
- DXC incentives – recognition tools, employee lunches, and regular social events.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonPandasNumPyscikit-learnTensorFlowKerasPyTorchXGBoostLightGBMCatBoost
Soft Skills
collaborationknowledge-sharingcontinuous improvement