12 of 12 Machine Learning Jobs in Lanarkshire

Data Scientist: We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally … deliver scalable, data-driven products. Key Responsibilities Design, develop, and optimize machine learning and deep learning models. Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI. Perform data cleaning, feature engineering, and exploratory data analysis (EDA). Build and manage data ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Experience driving SRE maturity (SLOs, error budgets, reliability reviews). Exposure to large-scale, regulated or high-availability environments. Interest in using AI/ML to improve operations, monitoring or incident response. Passion for teaching, mentoring and building engineering culture. Why join Work on large-scale, business-critical platforms with ...

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 ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

Data Scientist: We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products click apply for full ...

transactions building out central capabilities across a number of data platforms. This team looks after 3 main pillars – Data Modernisation, Data Service and AI & ML analytics. You will lead the design and development of a new, innovative products, collaborating with senior stakeholders to understand their needs and requirements, and design … designing, securing, and scaling data platforms and solutions. Experience in one or more of the three main pillars - Data Modernisation, Data Service or AI & ML analytics. Skilled across the wider architecture space including understanding of cloud architecture, microservices architecture, AI and event-driven design. Public Cloud experience in ideally ...

digital estate. Key Responsibilities Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead deployment of Conditional Access, Microsoft Defender for Cloud, Purview DLP, Azure Firewall, and related Microsoft security technologies. Embed security into DevOps pipelines, CI/… through Intune, ensuring robust device compliance aligned with Zero Trust principles. Harden AKS clusters through RBAC, secrets management, and runtime protection. Secure AI/ML data pipelines and models, implementing guardrails for model integrity and protection against prompt-injection threats. Cloud & Network Security Engineer secure configurations across Cisco Meraki infrastructure ...

.NET Developer - Fastest Growing Social Media Firm - Glasgow (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, Azure DevOps, Agile, Blazor, JavaScript, React, Multithreading, RESTful, ML.NET, Azure AI, Programmer, Full Stack Engineer, Architect, .NET ...

looking for a senior Data Science Practitioner to lead the charge in designing and delivering AI/ML-based decision-making frameworks. You won't just build models; you will be the architect of business outcomes, translating complex data into measurable value. As a subject matter expert, you will mentor … SageMaker) to keep our projects ahead of the curve. What You'll Do Architect Decision Systems: Design innovative AI/ML models that don't just predict-they drive strategic business decisions. Lead & Mentor: Act as the technical North Star for the team, making key decisions and guiding junior scientists ...