15 of 15 Machine Learning Jobs in Avon

higher-level apprenticeship programmes such as Advanced Data Fellowship and AI Data Specialist. You will cover a range of topics, including: Fundamentals of ML and AI (including Machine Learning Lifecycle, Machine Learning Mathematical Foundations); Solving Business Problems with Machine Learning; Data Preparation and Feature … Engineering; Planning and preparing ML/AI solution; Data Ethics and Responsible AI; Model Engineering and Training; Model Evaluation and Deployment; Monitoring, Maintenance, and Continuous Learning; Data Security, Privacy, and Governance; Stakeholder Communication and Documentation The Multiverse coaching team is a diverse mix of industry experts, educators, and academics ...

develop machine learning and LLM-based solutions Work on advanced AI systems within secure and constrained environments Apply deep technical knowledge across ML, statistics, and optimisation Contribute to real-world AI applications in defence and high-assurance settings Collaborate with engineers and clients to solve complex challenges Take … solutions deployed in edge, constrained, or air-gapped environments Apply best practices in AI safety, explainability, and robustness Collaborate with engineering teams to integrate ML systems into production environments Key Requirements: Strong understanding of machine learning fundamentals Solid foundation in mathematics and statistics Hands-on experience with LLMs ...

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 ...

Senior Machine Learning Engineer you will: Design and implement data ingestion, model training, validation, deployment and monitoring pipelines across the organization Optimize ML infrastructure and systems for maintainability, scalability, robustness, efficiency, and operating costs Collaborate with product stakeholders, data scientists and engineering teams to design and implement …/ML solutions for complex business problems and use cases Define reference architectures suitable to answer complex questions, including via code interpreting, LLM tool use and leveraging secondary data science models Stay up-to-date, constantly learning about advances in the field, and deliver periodic presentations to internal teams ...

opportunity for a technically strong architect who can hit the ground running from day one, providing architectural leadership across enterprise data platforms, analytics initiatives, machine learning capabilities and emerging AI solutions. You'll be responsible for defining and governing data architecture standards, designing scalable data solutions, and ensuring … Senior Data Architect capacity Strong expertise in data architecture, data modelling and information management Experience designing modern data platforms supporting analytics, reporting and machine learning workloads Knowledge of data governance, lineage, metadata management and data quality frameworks Experience defining technical standards, patterns and architectural principles Excellent stakeholder management ...

they need. Future-Facing Infrastructure: Building familiarity with Domins existing machine learning and data-driven workflows to help expand their AI/ML capabilities over time. Essential Requirements Education: A university degree in Computer Science, Software Engineering, Data Engineering, Data Science, or a related technical field. Python Skills … using Git. Beneficial Requirements Experience with cloud platforms (Azure is preferred, or AWS/GCP). An understanding of Docker and containerization. Familiarity with machine learning concepts and data preparation workflows. Experience contributing to database design or schema development. Familiarity with engineering, manufacturing, or test data environments. Strong ...

development process, mentoring of less experienced colleagues, and a substantial influence over future product architecture. You'll be working closely with colleagues from the Machine Learning and RF teams. Your technology focus will be highly optimised FPGA designs for digitally transforming raw optical signals to inputs suitable … machine learning algorithms. You will be working with technologies such as RFSoCs and SDRs with FPGAs from AMD/Xilinx, and will need excellent design skills, hands-on lab skills, and fluency in VHDL. You will need: A good degree in electronics or a similarly applicable subject from ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

senior data architecture role Strong knowledge of data architecture principles including data modelling and platform design Experience designing data solutions for analytics, reporting and Machine Learning use cases Experience working within regulated environments (e.g. financial services, insurance, banking) Strong stakeholder management skills with the ability to communicate complex ...

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 ...

consistent policy enforcement across users and devices Systems & Development Environments Support Windows and Linux-based environments Oversee integration of specialist systems (including AI/ML and HPC environments) Ensure controlled access for internal users and contractors Leadership Line manage an IT Technician/Apprentice Develop internal capability through documentation ...

.NET Developer, .NET 10.0, C# 14 - Global Internet Icon - Bath (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...

.NET Developer, .NET 10.0, C# 14 - Digital Download Site - Bristol (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 ...