15 of 15 Machine Learning Jobs in Buckinghamshire

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 ...

including machine learning models, large-scale data pipelines (PySpark), and production-grade deployment architectures within Foundry’s ecosystem. Evaluate and select optimal ML and data technologies, frameworks, and platform components within Foundry and compatible cloud environments. Establish best practices, governance, and architectural standards for AI and data science … Foundry-based AI solutions. Lead review and troubleshooting of system architecture, AI performance, reliability, and data pipeline health on Foundry. Stay informed of AI, ML, data engineering, and Foundry platform advancements, championing adoption of innovative solutions. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. ...

science activities, interfacing and integrating data science solutions into primary software environments. Experience and awareness of AI, Machine Learning, Generative AI and ML-Operations. Working within the Public Sector either embedded or as supplier. Secure Public and Private Cloud experience. Virtualisation and Containerisation techniques, technologies, risks and opportunities ...

supported automation and optimisation . Preparing and maintaining high-quality datasets and AI-ready data models (DWH/Lakehouse) to support analytics, reporting, and machine-learning use cases. Monitoring and troubleshooting daily data operations, resolving issues following ITIL best practices, and implementing proactive improvements, alerting, and self-healing … data warehousing, and relational database environments (e.g., MS SQL Server). Experience designing cloud-native and on-prem data solutions. Exposure to AI/ML initiatives , AI-enabled automation, and an understanding of LLM concepts and their data workflow applications. Experience working in Agile environments (Scrum, Kanban, DevOps). Strong ...

Ability to translate complex technical or research-driven concepts into practical software solutions Beneficial Experience DevOps and CI/CD pipeline implementation Exposure to machine learning or AI-driven systems Experience working on technically complex or cutting-edge software products Modern software engineering practices and tooling Spectrum ...

will focus on building and optimising data pipelines, improving access to platform and event data and strengthening the underlying data architecture that supports analytics, machine learning and AI initiatives. This role is ideal for someone with strong experience across modern data engineering practices, cloud data platforms and large ...

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 ...

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 ...

similar role Experience of JIRA and Confluence Strong understanding of product management practices? Understanding of Cloud Development, Data Modelling, PowerBI or equivalent, AI and Machine Learning modelling Working knowledge of SQL server, Azure, Microsoft Fabric or equivalent Customer-focused mindset with a passion for delivering high-quality solutions ...

looking for an experienced (senior) HPC Infrastructure Engineer to design, deploy, and maintain high-performance computing clusters, container platforms (Kubernetes/Docker Swarm), and machine-learning infrastructure. Working closely with Platform Engineering and Infrastructure teams, you will implement resilient infrastructure solutions, manage lifecycle activities, and provide 3rd line ...

Data. * Extensive experience in a leadership role. * Proven track record in leading data science and data engineering teams or functions. * Hands-on experience with machine learning, predictive modelling, statistical analysis, and integration strategy/implementation. * Experience implementing and managing ETL/ELT pipelines, data lakes, and data warehouses. ...

Microsoft-first house in terms of data sources. * Hands-on experience with data engineering development, automation and integration strategy/implementation. * Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (Python, R). * Ability to translate business problems into data-driven solutions ...