Job Title

Are you passionate about deploying and scaling machine learning solutions in production environments? Do you thrive in a fastpaced, techdriven setting? Were 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, scikitlearn XGBoost, LightGBM, CatBoost 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 problemsolving skills and ability to work independently or in a team Collaborate with crossfunctional 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 handson experience in PySpark and SQL Deep understanding of ML lifecycle management and CI/CD best practices Familiarity with cloudnative ML platforms and scalable deployment strategies Excellent problemsolving 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 realworld applications Be part of a collaborative and forwardthinking team Access to continuous learning and development opportunities Flexible working arrangements and a supportive work culture What We Will Do For You Competitive compensation 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) Legal Notice Were committed to fostering an inclusive environment where everyone can thrive. (EEO statement) #J-18808-Ljbffr