4 of 4 Contract Machine Learning Jobs in Glasgow

strong background in cloud-based machine learning solutions to join our Glasgow team. The successful candidate will work on the design, development, and deployment of large-scale ML models within an AWS environment, supporting advanced analytics and data-driven decision-making. This role requires proven expertise in AWS machine learning technologies, distributed computing, and CI/… Experience Strong proficiency in AWS-based Machine Learning technologies including SageMaker, Lambda, S3, and EC2. Hands-on experience in CI/CD pipelines and Docker containerisation for ML model development and deployment. Expertise in data preprocessing and feature engineering to prepare datasets for large-scale modelling. Proficiency in Python programming with experience of ML frameworks such as TensorFlow … PyTorch, and scikit-learn. Demonstrable experience of distributed computing for handling large ML workloads, particularly using Spark. Strong capability in statistical analysis and model evaluation , ensuring robust and reliable outputs. Desirable Skills Experience with experiment tracking and model registry tools (MLflow, DVC). Knowledge of infrastructure as code using Terraform or CloudFormation. Familiarity with data visualisation tools and techniques to More ❯

data lake architectures. Ensure robust data governance, security, and compliance across all systems. Collaborate with cross-functional teams to gather requirements and deliver solutions that support business objectives. Apply machine learning and data mining techniques where appropriate to add value. Support change and transformation initiatives by providing reliable data systems. Identify risks, implement controls, and follow secure coding … principles and secure coding practices. Experience: Proven track record in data engineering, data governance, and large-scale data systems. Experience working on change and transformation projects. Background in applying machine learning or data mining is an advantage. More ❯

leading role in shaping how AI is embedded into enterprise-scale systems. Working at the forefront of architecture and innovation, you will design and deliver intelligent platforms, turning advanced machine learning models into production-ready solutions that drive smarter decisions across global operations. You will work closely with expert teams, influence best practices, and help define how … AI transforms complex, corporate environments. Design, develop and implement scalable AI-driven architecture platforms Work closely with data scientists to translate models into production-ready code Embed AI/ML solutions to support advanced decision-making and automation Drive adoption of AI architecture standards and best practices across development teams Lead and participate in communities of practice to encourage innovation More ❯

power business-critical applications in financial services. Working within the Enterprise Technology Services (ETS) division, you'll collaborate with architects, data scientists, and development teams to embed AI/ML models into enterprise systems. You'll help drive adoption of AI best practices, shape the bank's AI architecture strategy, and contribute to communities of practice that foster innovation across … the organisation. What you'll be doing: Designing and delivering scalable AI-driven architecture platforms. Embedding AI/ML models into production systems (e.g. recommendation engines). Driving adoption of AI best practices across development teams. Leading and participating in architecture communities of practice. Staying ahead of technology trends such as cloud, AI, distributed systems, and data security. What we More ❯