Overview

Location: Newcastle, England or Erskine, Scotland

Type: Full-Time

Remote Work: Hybrid options available

Salary: Competitive + Benefits

About The Role

Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fast-paced, tech-driven setting? We’re looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle.

Responsibilities

• Strong proficiency in Python and ML libraries such as pandas, NumPy, scikit-learn
• Experience with ML libraries: XGBoost, LightGBM, CatBoost
• Experience with ML frameworks: 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 with distributed data processing using PySpark
• Solid understanding of software engineering principles and version control (e.g., Git)
• Excellent problem-solving skills; ability to work independently or in a team
• 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

Required Skills & Experience

• Proven experience in MLOps or DevOps roles within machine learning environments
• Strong programming skills in Python, with hands-on experience in PySpark and SQL
• Deep understanding of ML lifecycle management and CI/CD best practices
• Familiarity with cloud-native ML platforms and scalable deployment strategies
• Typically, 5+ years of relevant work experience in industry, with a minimum of 2+ years 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

What We Will Do For You

• Competitive compensation
• Pension scheme
• DXC Select – Our comprehensive benefits package (includes private health/medical insurance, gym membership and more)
• Perks at Work (discounts on technology, groceries, travel and more)
• DXC incentives (recognition tools, employee lunches, regular social events etc)

Still reading? We’d love to hear from you — apply today.

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Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology
• Industries: IT Services and IT Consulting

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