Machine Learning Engineer
6 days ago
Location: Erskine, Scotland - Hybrid
Security Clearance level: DXC Technology (DXC: NYSE) is the world’s 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 company’s technology independence, global talent, and extensive partner network combine to deliver powerful next-generation IT services and solutions. 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.
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
Support senior team members in identifying and addressing data science opportunities.
Strong proficiency in Python and ML libraries such as:
Experience with model deployment and serving tools:
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., Strong proficiency in Python and ML libraries such as:
Experience with model deployment and serving tools:
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., Proficiencies in data cleansing, exploratory data analysis, and data visualization
Work on impactful AI projects with real-world applications
Access to continuous learning and development opportunities
Flexible working arrangements and a supportive work culture
Ready to shape the future of AI?
At DXC Technology, we believe strong connections and community are key to our success. Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.
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