Job Description
Not sure what skills you will need for this opportunity Simply read the full description below to get a complete picture of candidate requirements.
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? Were looking for a talented OPS Engineer to join our growing teams in Erskine or Newcastle.
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.
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
Ready to shape the future of AI?
Apply now and bring your expertise to a team that values innovation, creativity, and excellence.
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? Wed love to hear from you
apply today.
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