26 to 50 of 342 Machine Learning Jobs in the South East

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 ...

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 ...

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 AI Engineer - Remote Join a growing AI team building production-grade machine learning and generative AI solutions that solve complex real-world challenges. This is an opportunity to combine AI research, engineering, and innovation in a highly autonomous role. The Company They are a technology business investing … Build RAG pipelines, agentic AI systems, and model evaluation frameworks Work across the full AI lifecycle from problem definition to deployment Apply both classical ML techniques and modern AI approaches Use AI-assisted development tools such as Claude Code, Codex, or similar Help shape technical direction and mentor other engineers ...

test development, maintenance, and coverage. They combine deep QA automation expertise with practical experience using AI to enhance testing workflows. Experience testing AI/ML applications or validating machine learning models is an asset. Responsibilities Design and maintain automated test suites, evaluation scenarios, metrics, and test datasets … testing for AI services and backend systemsDefine quality strategy and acceptance criteria for AI-powered applications across functional, API, integration, and AI/ML featuresTest AI/ML applications and machine learning models from a product and user perspectiveEvaluate AI/ML model outputs for correctness, consistency ...

working with a deep‐tech startup specialising in machine learning, building next‐generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk — giving chip design teams a step‐change in capability. This is a high‐impact opportunity … Physics/Engineering/Electronics and a PhD in Machine Learning Strong Python + PyTorch/JAX skills Publication record in ML or EDA venues Ability to move between research and implementation Clear communication across ML and circuit‐design audiences Experience modelling dynamic systems Familiarity with SPICE data ...

team, you will work side-by-side with researchers, Machine Learning Engineers and software engineers to define and uphold quality standards for ML systems. You are a quality-focused engineer who is passionate about reliable, repeatable evaluation of ML models and data. Your skills span test strategy, automation … little MLOps, with a strong software engineering base. You are excited to collaborate across research and product to ship ML capabilities with clear quality gates. You are comfortable working at the intersection of research and product and are competent in using Autodesk CAD software.Reporting Structure: You will report ...

complex datasets, they offer an environment where experimentation, collaboration, and technical excellence are encouraged. The Role Design, build and deploy scalable AI and machine learning solutions, taking projects from concept through to production. Develop AI-powered applications using Generative AI, Large Language Models and orchestration frameworks. Write high … solutions. Monitor, evaluate and improve deployed models while ensuring responsible, secure and reliable AI deployment. Your Skills & Experience Strong commercial experience in AI engineering, machine learning engineering or software engineering with applied AI. Proven experience building and deploying Generative AI applications using LLMs and orchestration frameworks. Strong Python ...

centre of decision making. Working within a specialist pricing team, you will have the freedom to explore new data sources, develop cutting-edge machine learning models, and shape how customer risk is assessed across a large-scale digital business. If you enjoy solving complex problems and building impactful … developing innovative approaches to customer risk assessment and pricing. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models that improve pricing and customer selection strategies Exploring and evaluating new data sources to identify commercial opportunities Developing geospatial and footprint models ...

centre of decision making. Working within a specialist pricing team, you will have the freedom to explore new data sources, develop cutting-edge machine learning models, and shape how customer risk is assessed across a large-scale digital business. If you enjoy solving complex problems and building impactful … developing innovative approaches to customer risk assessment and pricing. Specifically, you can expect to be involved in the following: Building and deploying predictive machine learning models that improve pricing and customer selection strategies Exploring and evaluating new data sources to identify commercial opportunities Developing geospatial and footprint models ...

work closely with experienced software engineers, quantitative researchers and founders to design and build systems that operate at the intersection of mathematics, machine learning and distributed computing. You'll own meaningful projects from day one, influence technical decisions, and see your work move rapidly from idea to production. … developing production software Knowledge of algorithms, data structures and software design Experience working with large datasets or numerical computation An interest in optimisation, statistics, machine learning or quantitative modelling Experience in quantitative finance is welcomed but not essential . We're equally interested in candidates coming from deep ...

role involves designing scalable systems from the ground up, playing a critical role in building the data foundations that support AI products, analytics capabilities, machine learning workflows, and large-scale operational systems. You will work closely with AI engineers, backend developers, and product teams to ensure data … operational and AI workloads. Develop and manage batch and real-time data processing pipelines. Build and optimise systems for vector search, data retrieval, and machine learning workflows. Ensure data reliability, security, governance, and compliance across the platform. Collaborate closely with AI and backend engineering teams to support model ...

Raleigh (US) offices.About the roleYou will help shape how evidence is generated, modeled, and communicated across the drug development lifecycle, bringing modern computational and machine-learning methods to bear on real R&D decisions. You will develop and apply advanced data-driven and model-based approaches—drawing … statistics, machine learning, and AI—translate them into robust, reusable tools, and partner across functions to put them to work where they impact drug development decision making. You will also contribute to the group's scientific profile through publications and external collaboration.Who you will work withYou will ...

up. The Company They are an AI-focused organisation developing a data-driven understanding of global industrial systems. Their work combines advanced data science, machine learning, and domain expertise to create structured intelligence from complex, fragmented datasets. Operating at an early stage, they offer the chance to have … rigorous evaluation frameworks. Contribute independent technical judgement and help define modelling standards within the organisation. Your Skills & Experience Strong experience building and deploying machine learning models into production environments where accuracy and reliability are critical. Advanced Python skills, including hands-on experience with pandas and scikit-learn. Strong ...

will help deliver scalable, secure, and reliable MLOps platforms supporting large-scale data processing and real-time inference workloads. Key Responsibilities Deploy and manage ML models in production using Azure Machine Learning. Design and maintain Azure-based MLOps infrastructure. Build and support Azure DevOps CI/CD pipelines … ML artefacts. Implement monitoring, logging, security, and governance controls. Manage data pipelines, storage solutions, data versioning, and lineage tracking. Support real-time inference and scalable ML workloads, including auto-scaling. Collaborate with technical and business stakeholders to optimise model performance and platform reliability. Produce and maintain technical documentation. Skills & Experience ...