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# Machine Learning Engineer

- **Company:** DXC Technology
- **Location:** Erskine, UK
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Big Data, Data Cleansing, Information Engineering, Data Visualization, Distributed Computing Environment, Python (Programming Language), Machine Learning, NumPy, Tensorflow, Azure Machine Learning, Software Engineering, Pytorch, Keras, Git, Pandas, Pyspark, Scikit Learn, Kubernetes, ONNX (Open Neural Network Exchange) Format, Xgboost, Machine Learning Operations, TensorRT, Software Version Control
- **Published:** May 26, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/x/37395473/

## About the Role

Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit-learn, XGBoost, LightGBM, CatBoost, TensorFlow, Keras, and PyTorch.
Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe.
Familiarity with ML lifecycle tools: MLflow, Kubeflow, Azure ML Pipelines.
Experience working with distributed data processing using PySpark.
Solid understanding of software engineering principles and version control (e.g., Git).
Excellent problem-solving skills and ability to work independently or in a team.
Demonstrated relevant industry experience, including time spent in a similar role.
Proficiencies in data cleansing, exploratory data analysis, and data visualization.
Continuous learner that stays abreast with industry knowledge and technology.

Why Join Us?

Work on impactful AI projects with real-world applications.
Be part of a collaborative and forward-thinking team.
Access to continuous learning and development opportunities.
Flexible working arrangements and a supportive work culture.

Ready to shape the future of AI?
Apply now and bring your expertise to a team that values innovation, creativity, and excellence.

## Description

We're seeking a passionate and skilled Machine Learning Engineer to join our growing team. You'll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment., Design and implement robust machine learning models using modern frameworks and libraries.
Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.
Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT.
Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines.
Work with large-scale data using PySpark and integrate models into production environments.
Monitor model performance and retrain as needed to ensure accuracy and efficiency.
Collaborate with cross-functional teams to integrate AI solutions into scalable products.
Ensure best practices in data engineering and contribute to architectural decisions.
Contribute to the mentoring and development of junior team members.
Support senior team members in identifying and addressing data science opportunities.


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