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
1. Strong proficiency in Python and ML libraries such as:
2. pandas, NumPy, scikit-learn
3. XGBoost, LightGBM, CatBoost
4. TensorFlow, Keras, PyTorch
5. Experience with model deployment and serving tools:
6. ONNX, TensorRT, TensorFlow Serving, TorchServe
7. Familiarity with ML lifecycle tools:
8. MLflow, Kubeflow, Azure ML Pipelines
9. Experience working with distributed data processing using PySpark.
10. Solid understanding of software engineering principles and version control (e.g., Git).
11. Excellent problem-solving skills and ability to work independently or in a team.
12. Collaborate with cross-functional teams to integrate AI solutions into scalable products
13. Ensure best practices in data engineering and contribute to architectural decisions
14. Contribute to the mentoring and development of junior team members.
15. Support senior team members in identifying and addressing data science opportunities.
Required Skills & Experience
16. Proven experience in MLOps or DevOps roles within machine learning environments
17. Strong programming skills in Python, with hands-on experience in PySpark and SQL
18. Deep understanding of ML lifecycle management and CI/CD best practices
19. Familiarity with cloud-native ML platforms and scalable deployment strategies
20. Excellent problem-solving skills and a collaborative mindset
21. Excellent problem-solving skills and ability to work independently or in a team.
22. Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
23. Proficiencies in data cleansing, exploratory data analysis, and data visualization
24. Continuous learner that stays abreast with industry knowledge and technology
Why Join Us?
25. Work on impactful AI projects with real-world applications
26. Be part of a collaborative and forward-thinking team
27. Access to continuous learning and development opportunities
28. 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
29. Competitive compensation
30. Pension scheme
31. DXC Select – Our comprehensive benefits package (includes private health/medical insurance,, gym membership and more)
32. Perks at Work (discounts on technology, groceries, travel and more)
33. DXC incentives (recognition tools, employee lunches, regular social events etc)
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.