6 of 6 Machine Learning Jobs in Lanarkshire

innovation across STEM sectors, helping them to Outpace tomorrow, together. What are the key expectations of this role? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with … business analysts, data scientists, and IT teams to integrate AI solutions into existing systems and workflows, enhancing their capabilities and impact. Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organization's AI strategy and … such as Python, C#, or Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Solid background in machine learning algorithms, data pre-processing, feature engineering, and model evaluation. Experience with deep learning More ❯

highly successful team. What you’ll do: Delve deep to draw out insights on colleague, customer and commercial behaviour and spot opportunities to inform continual improvements Develop AI/ML modelling using Python in DataBricks for forecasting, outlier analysis and Next Best Action Design and develop MI tools and reporting systems capable of capturing required data, outputting relevant MI and … SQL or Python, writing code which is clean and easily interpreted Outstanding visualisation skills (we use Tableau) Demonstrable ability to extract and transform data for use in modelling and machine learning Experience in customer focused insight is our ideal, with any exposure to call centre environments being a big plus. Any DataBricks experience is highly advantageous Additional InformationWhat More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

all accessible anytime, anywhere, through our easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build confidence and a strong More ❯

services or consulting (banking/insurance focus). Knowledge of data governance frameworks (DAMA, DCAM) and regulatory requirements. Strong communication, problem-solving, and collaboration skills. Exposure to AI/ML, cloud data environments, or modern data architectures is a plus. This is a fantastic opportunity to grow your career in data and resilience, working on impactful projects across the financial More ❯

in banking or insurance . Strong knowledge of data governance frameworks (DAMA, DCAM) and sector regulations. Proven leadership in data transformation and business change programmes. Experience with AI/ML adoption and modern data architectures (cloud desirable). This is an exciting opportunity to make a real impact in shaping the future of data in financial services . More ❯