12 of 12 Machine Learning Jobs in Luton

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 ...

engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate model accuracy … manager, ideally leading cross functional teams in a SaaS environment. Track record of delivering complex software projects on time, including customer facing GenAI or ML powered features. • Agile Expertise: Deep understanding of Agile principles and Scrum methodology. Scrum Master or similar certification is a plus. • Cross Team Collaboration: Proven experience ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot … Quicksuite, and AWS SageMaker. Strong programming skills in Python, Java, or similar languages commonly used for AI and automation. Experience in designing and operationalising machine learning models in a production environment. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting. Strong communication ...

Senior Software Engineer/Agentic AI and Machine Learning Conquer AI Location: UK based, remote friendly About Us! Conquer AI is a specialist AI consultancy and software engineering firm that helps enterprises reimagine critical processes using AI. We work with FTSE 100, FTSE 250, and Fortune 500 companies … Hands on experience with agent based or multi agent AI systems Practical experience working with LLMs and SLMs in real applications Good understanding of machine learning concepts and trade offs Strong backend engineering skills and comfort owning systems end to end Experience designing systems that prioritise accuracy, explainability ...

Google ADK Strong software development experience in Python and/or Java, with familiarity with the Agile software development lifecycle. Experience with AI/ML solution development - from prototype to deployment - ideally within a large enterprise environment. Understanding of cloud environments such as GCP, AWS, or Azure. Strong analytical ...

talented individuals. Exposure to working with fortune 500 companies and innovative market disruptors. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud. ...

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 ...

Principal Firmware Engineer Luton Paying up to £80p/h (Umbrella) Responsibilities : Artificial Intelligence, including machine learning and genetic algorithms Auto-generated code using model-driven engineering using MATLAB and Simulink tools Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM Derivation of detailed Firmware requirements ...

this role by reading the information below, then apply to be considered. Luton Paying up to £80p/h (Umbrella) Responsibilities: Artificial Intelligence, including machine learning and genetic algorithms Auto-generated code using model-driven engineering using MATLAB and Simulink tools Design tools such as Xilinx, TCL, Verilog ...

based health and wellbeing organisation is hiring a Data Scientist to build and deploy production ML and GenAI systems. The role is hands-on and end to end, covering data preparation, model development, and deployment across traditional ML and LLM-based use cases. You will work on real production problems … through to live deployment. You will collaborate closely with other data scientists, data engineers, and DevOps, with the freedom to shape how GenAI and ML are used across the platform. Tech stack: Python PyTorch or TensorFlow scikit-learn Spark Kafka Databricks LangChain and RAG-based GenAI systems Cloud-native Azure ...