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Data/Machine Learning Ops Engineer at DXC Technology | JobVerse
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Data/Machine Learning Ops Engineer
DXC Technology
Website
LinkedIn
Data/Machine Learning Ops Engineer
United Kingdom
Full Time
2 hours ago
H1B Sponsor
Apply Now
Key skills
Azure
Cloud
Keras
Numpy
Pandas
PySpark
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
AI
Machine Learning
ML
TensorFlow
scikit-learn
NumPy
MLOps
XGBoost
LightGBM
CatBoost
MLflow
Kubeflow
Data Engineering
Git
Version Control
CI/CD
About this role
Role Overview
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.
Tech Stack
Azure
Cloud
Keras
Numpy
Pandas
PySpark
Python
PyTorch
Scikit-Learn
SQL
Tensorflow
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.
Apply Now
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