Job Description
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 ML Ops Engineer to join our growing teams.
Location
Newcastle, England, Hybrid
Security Clearance Level
SC
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
- Versatile 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)
Legal Notice
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services... DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here.
Equal Chance
'We’re committed to fostering an inclusive environment where everyone can thrive.' (EEO statement)
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