1 to 25 of 48 Machine Learning Jobs in Scotland

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 ...

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 ...

within customers’ existing tech stacks. What we’re looking for Essential: 2+ years’ post-graduate experience as a Software Engineer/AI Engineer/ML Engineer working on production AI systems. Strong software engineering fundamentals: clean code, testing, version control and debugging in Python or similar. A Master’s degree … above) in Computer Science, Mathematics, AI/ML, Data Science, or a closely related discipline from a top-tier university. Demonstrable experience with applied AI/ML or LLM-based systems (projects, internships, or commercial work), not just academic exposure. Comfort working in a fast-moving, small-team environment where ...

team and provide hands-on technical leadership. This is an exciting opportunity to work on cutting-edge document processing and machine learning (ML) technologies to enhance automation. Key Responsibilities: Lead the development of automation services leveraging OCR, Object Detection, and LLM AI to automate land register applications. Conduct … production issues across environments. Contribute to disaster recovery efforts and ensure continuity of digital services. Key Skills & Experience: Strong commercial experience with AI/ML technologies including OCR, Object Detection, and LLM analysis. Proficiency in Python 3.9+, with a solid understanding of object-oriented programming and data structures. Experience with ...

Contract MLOps Engineer | MLflow | Databricks | Production ML Duration: Initially 3 months Day rate: £500 - £550, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they're looking … senior, hands-on Contract MLOps Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You'll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real ...

utilization across the enterprise. Support real-time and batch data processing using big data technologies and cloud platforms. Optimize data workflows to enable AI, machine learning, and advanced analytics applications. Provide technical support and troubleshooting for GridOS Data Fabric deployments. Stay up to date with advancements in grid ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers : hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

data governance frameworks Strong understanding of data security, access controls, and compliance requirements Excellent problem-solving, communication, and documentation skills Familiarity with AI/ML data pipelines and analytics platforms Preferred Qualifications Experience with cloud data platforms (AWS, Azure, GCP) Experience with big data technologies (Hadoop, Spark, Kafka) Familiarity with ...

cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have Databricks certifications (Associate or Professional). Experience supporting asset-heavy or industrial environments. Background in energy, utilities ...

cloud data platforms (Azure preferred; AWS or GCP acceptable). Familiarity with Git-based workflows and CI/CD pipelines. Exposure to analytics or ML-driven use cases is beneficial. Nice to have Databricks certifications (Associate or Professional). Experience supporting asset-heavy or industrial environments. Background in energy, utilities ...

data governance frameworks Experience complying with data security requirements. Experience designing data models. Excellent problem-solving, communication, and documentation skills. Familiarity with AI/ML data pipelines and analytics platforms. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource ...

ensure you have the opportunity to thoroughly embed in Ten10 culture, get to know your team and mentors and we can assess your learning style but will have the option to move home and learn remotely for the remainder. After core training is completed, youll have a week … Software Tester or RPA Analyst. Stream 2 Platform Engineering: Learn about DevOps and Artificial Intelligence, you could go on to be a DevOps Engineer, Machine Learning Engineer or Cyber Security Analyst. Stream 3 Data Engineering: Deep dive into data and learn the skills to be a Data Analyst ...

such as Flink, Azure Data Explorer (Kusto), or Cosmos DB . Experience crafting serving layers, stream‐out patterns, or feature stores for analytics or machine learning is also valuable. Familiarity with SRE practices , such as defining SLOs and handling error budgets in data‐intensive systems, is a plus. ...

tasks? Security Engineering & Automation Architect and implement security controls across Microsoft 365, Azure, Dynamics 365, Kubernetes (AKS), and AI/ML workloads. Lead the design and deployment of conditional access, Defender for Cloud, Purview DLP, Azure Firewall, and related services. Integrate security into DevOps pipelines, CI/CD, infrastructure ...

innovation, focused on tackling the most challenging aspects of AI. You will work closely with product, engineering and data teams to turn cutting-edge machine learning and AI research into scalable, production-ready solutions. This is a superb opportunity with a forward-thinking and expansive client, with candidates … Stay up to date with the fast-moving AI/LLM ecosystem Required Skills & Experience (A blend of): Strong experience with Python and common ML libraries (e.g. PyTorch, NumPy, Panda, TensorFlow, scikit-learn) Experience with LLMs and fine tuning (OpenAI, open-source models) Hands-on experience with agent frameworks (e.g. ...

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 ...

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 ...

client projects. Deliver billable strategic consultancy for clients where required. Technical and Market Insight Maintain a strong understanding of relevant technologies, including AI and machine learning applications, and digital production processes. Use Google Analytics and other tools to analyse data, inform strategic decisions, and demonstrate ROI. Collaboration ...

oriented Demonstrated leadership potential Fluency in English, additional European languages are a plus Preferred Qualifications Experience in a multinational company Understanding of AI and machine learning concepts Bachelor's degree What We Offer Competitive salary and commission structure Opportunity to join a rapidly growing, innovative company Comprehensive benefits ...

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 ...