Machine Learning Engineer

Location: Erskine, Scotland - Hybrid
Security Clearance level: SC
Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.
DXC Technology (DXC: NYSE) is the worlds leading independent, end-to-end IT services company, helping clients harness the power of innovation to thrive on change. Created by the merger of CSC and the Enterprise Services business of Hewlett Packard Enterprise, DXC Technology serves nearly 6,000 private and public sector clients across 70 countries. The companys technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. DXC Technology is recognized among the best corporate citizens globally.
About the Role
Were seeking a passionate and skilled Machine Learning Engineer to join our growing team. Youll 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.
Key Responsibilities
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.

Required Skills & Experience
Strong proficiency in Python and ML libraries such as:

pandas, NumPy, scikit-learn

XGBoost, LightGBM, CatBoost

TensorFlow, Keras, 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.

Strong proficiency in Python and ML libraries such as:

pandas, NumPy, scikit-learn

XGBoost, LightGBM, CatBoost

TensorFlow, Keras, 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.

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