Data/Machine Learning Ops Engineer

Location

Erskine, Scotland, Hybrid

Security Clearance level

SC

Eligibility

Candidates must be UK national/sole British citizens and resided in the UK for 5 years or over.

Key Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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).

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

#J-18808-Ljbffr…