10 of 10 Permanent Machine Learning Jobs in East London

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 ...

Python-based tools, automate repetitive processes and help create efficient, reliable workflows for working with large-scale image and video datasets. Working closely with Machine Learning and Computer Vision Engineers, youll translate operational and technical requirements into practical tooling that improves annotation efficiency, data quality and the overall … reliability of the machine learning pipeline. This could suit someone with experience in data tooling, pipeline development, workflow automation, technical art or internal software development who is interested in applying those skills within computer vision and autonomous systems. Responsibilities Design, develop and maintain internal tools supporting the creation ...

Python-based tools, automate repetitive processes and help create efficient, reliable workflows for working with large-scale image and video datasets. Working closely with Machine Learning and Computer Vision Engineers, youll translate operational and technical requirements into practical tooling that improves annotation efficiency, data quality and the overall … reliability of the machine learning pipeline. This could suit someone with experience in data tooling, pipeline development, workflow automation, technical art or internal software development who is interested in applying those skills within computer vision and autonomous systems. Responsibilities Design, develop and maintain internal tools supporting the creation ...

architecture patterns including data products, data mesh, data fabric and cloud-based data platforms. Ensure enterprise data is appropriately governed and prepared for AI, Machine Learning and advanced analytics use cases. Produce and maintain enterprise architecture artefacts and contribute to architecture governance and design authorities. Facilitate architecture workshops … Management Data platform and data warehouse architecture Data integration and interoperability Cloud-based data architectures Architecture governance and standards Data architecture supporting AI/Machine Learning/advanced analytics Architecture repositories and modelling tools You should be comfortable operating at both strategic and technical levels - able to establish ...

refactoring, and performance optimization to contribute to advanced AI research and evaluation projects . You'll apply your software engineering expertise to create Reinforcement Learning (RL) environments that test AI models on complex software engineering workflows. Tasks may involve debugging, feature implementation, code refactoring, performance optimization, and working with … Model Context Protocol (MCP) tools. No prior AI experience is required — your technical expertise is what matters. Responsibilities Design and develop Reinforcement Learning environments that evaluate AI models on realistic software engineering workflows. Create tasks involving bug fixing, feature implementation, codebase refactoring, and performance optimization . Develop reproducible environments ...

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 developing consulting case studies, business frameworks, executive presentations, or strategic recommendations . Experience evaluating complex analytical or strategic work products. Familiarity with AI, machine learning, AI model evaluation, or AI training projects is a plus. Strong experience communicating recommendations to senior executives and stakeholders . Compensation Competitive ...

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. This step ...