Data/ML Ops Engineer

Job Description

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 Newcastle or Erskine.

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
• Contribute to the mentoring and development of junior team members
• 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 a collaborative mindset
• Excellent problem-solving skills and ability to work independently or in a team
• Typically, 6+ 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? We’d love to hear from you — apply today.

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