11 of 11 Permanent Machine Learning Jobs in South London

preferably have at least two of these skills: Strong analytical and problem-solving skills Experience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutions Experience with large scale data sets with structured or unstructured data Experience in building user facing applications ...

skills and preferably have at least two of these skills:Strong analytical and problem-solving skillsExperience applying quantitative methods such as modelling, data analytics, machine learning, and statistics to develop business solutionsExperience with large scale data sets with structured or unstructured dataExperience in building user facing applications over ...

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 ...

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 ...

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 ...

working directly with external customers is desirable, as is knowledge of, or experience in, the defence/military domain.Demonstrated expertise in developing and implementing machine learning modelsProgramming skills in languages, tools and frameworks commonly used in data scienceExperience in data preprocessing and feature engineeringComputer science skills to support ...

technologies and operating systems, product development processes and business operations Advanced technical knowledge in technology troubleshooting methodologies, design, and implementation Required Skills AI/Machine Learning Cloud Computing Cybersecurity DevOps Coding Skills Network/Systems Skills Certifications CISSP - essential ISSAP - highly preferred CISM, GIAC or other vendor (Cisco ...

technical roadmaps aligned with growth roadmaps and long-term defence strategiesevaluating and selecting technologies across cloud, edge computing, secure networks, data platforms, AI/ML, and mission critical softwareCollaborating with senior military users, programme managers, and engineering leads to capture operational needs and translate them into technical solutionsBeing responsible ...

bids and business development activities ensuring that proposed solutions are feasible, innovative, compliant, and mission-alignedWorking closely with engineering, data, cyber, AI/ML, and systems integration teams to shape end-to-end solutionsTranslating complex missions’ needs into robust technical architecture, capability concepts, and delivery approachesTechnically lead major bids from ...

EXPERIENCE & QUALIFICATIONS Significant experience as a Solution Architect or Enterprise Architect in HR/Legal technology Deep expertise in SAP SuccessFactors (Employee Central, Talent, Learning, or Experience modules) Strong understanding of employee experience platforms and legal workplace solutions Experience delivering AI solutions (e.g., chatbots, copilots, automation, personalization, analytics) Hands … problem‐solving and architectural design skills Preferred Experience Experience with HR/Legal transformations or large‐scale digital transformation programs Familiarity with AI/ML platforms and generative AI capabilities Knowledge of enterprise data platforms, analytics, and semantic models Experience with low‐code platforms and workflow automation Exposure to privacy ...