3 of 3 Part-Time Generative AI Jobs in London

Cybersecurity advisory and transformation consulting in areas such as security strategy, risk management, human risk management, data and identity security, secure intelligent industry, Gen-AI risk, and security operations modernisation. Our security specialists and innovators enable our clients to evaluate cyber risks, redesign Cybersecurity operating models, modernise digital … demonstrated expertise and experience in one of the following domains: Generative AI – Enabling the secure design and adoption of Gen AI for business, IT and/or security functions in alignment with the evolving regulatory landscape (e.g. EU AI Act, GDPR, DPA … CIS Critical Controls), regulations (e.g., NIS2) and financial regulations (e.g., DORA, FCA, Bank of England, etc.). Have experience (or knowledge) in securing Gen AI for business purposes or enabling Gen AI for security. Relevant Cybersecurity qualifications such as CISSP/CISM/CompTIA Security+ preferred. More ❯

in using the power of collective intelligence to ethically shape the future of AI. What We Do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is … to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About The Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If … you join the platform as an AI Tutor in Consulting, you'll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Generate prompts that challenge AI Define comprehensive scoring criteria to evaluate the accuracy of the AI More ❯

/join with: Here’s what you’ll be doing: As a Staff Data Scientist, you will be part of a team bringing AI and Data Science to the forefront of SB. We seek an experienced, pragmatic, and technical Data Scientist to enable our team to deliver value … across various use cases, including LLMs, propensity, classification, and regression models. Contribute to the end-to-end development and deployment of ML and AI models. Define best practices for a team of highly talented Data Scientists. Work with stakeholders in a high-paced, agile environment that encourages autonomy … who is: Extraordinary with 7+ years of experience as a Data Scientist/ML Engineer, working on traditional ML, Data Science problems, and Generative AI. Someone who views Data Science as a product, not just a series of models. Adept and passionate about all technology forms, especially deployment More ❯