ML Engineer – Erskine, Scotland or Newcastle, UKLocation: Erskine, Scotland or Newcastle, UKType: Full-TimeRemote Work: Hybrid options availableSalary: Competitive + BenefitsAbout The RoleWe’re seeking a passionate and skilled Machine Learning Engineer to join our growing team in the Erskine or Newcastle area. You’ll play a key role in designing, developing, and deploying scalable ML solutions across a variety of domains. This is a fantastic opportunity to work with cutting-edge technologies and contribute to impactful projects in a collaborative, innovation-driven environment.Key ResponsibilitiesDesign and implement robust machine learning models using modern frameworks and libraries.Collaborate with data scientists, engineers, and stakeholders to translate business requirements into technical solutions.Optimize and deploy models using tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT.Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines.Work with large-scale data using PySpark and integrate models into production environments.Monitor model performance and retrain as needed to ensure accuracy and efficiency.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 & ExperienceStrong proficiency in Python and ML libraries such as pandas, NumPy, scikit-learn.Experience with 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).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 who stays abreast of 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.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.Fraud & Scams NoticeRecruitment 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 never asks for money or payments from applicants at any point in the recruitment process. #J-18808-Ljbffr