4 of 4 Machine Learning Jobs in North London

goals, or providing savings that really work, they champion those who dare to do things differently. The Opportunity As an MLOps Engineer, youll be at the forefront of leading Machine Learning, Data, and cloud services across the business. Playing a key part in kick-starting their journey into AI and ML. Youll be collaborating closely with cross-functional … be beneficial) Experience working with cloud-based data platforms such as AWS Redshift or Azure Synapse Understanding of automated Terraform deployment methods A background in leading complex AI/ML/Data initiatives Strong analytical and problem-solving skills with a detail-oriented approach to data interpretation Expertise in data visualisation tools, including Excel, Tableau, and Power BI Exceptional communication … and collaboration skills to work effectively with cross-functional teams. Why join our client? A chance to lead the direction of machine learning, data and cloud services across the business. An opportunity to contribute to the growth and direction of the business capabilities and building a successful team around you. Competitive base salary 30 days Annual leave + More ❯

London, UK Hybrid (3 days onsite) Duration: Until Dec 2025 (ASAP start) Description: We are seeking an experienced Research Assistant to support ongoing work in the artificial intelligence and machine learning domain . The role will focus on building, testing, and improving AI agents, with a strong emphasis on generative AI and large language models (LLMs). You … to medium-scale Python codebases. Requirements: Essential: Bachelors degree in Computer Science, Engineering, or related field, or equivalent practical experience. 2+ years experience in prototyping, testing, or research within ML, deep learning, or NLP. Proficiency in Python (intermediate level; ability to navigate multi-file codebases and write clean code). Familiarity with AI agent frameworks such as Model Context More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

all accessible anytime, anywhere, through our 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 confidence and a strong More ❯