Future Tech Jobs
Future Tech Jobs
This role involves designing and deploying AI-driven solutions in live deal environments, working closely with clients on M&A, due diligence, and post-deal value creation. Responsibilities include building solutions with LLMs, RAG, and modern AI tools, and contributing to reusable frameworks.
This role involves working closely with customers to deploy and scale Generative AI applications, from initial strategy to production. Responsibilities include technical guidance, prototyping, and collaborating with internal teams to drive successful outcomes and inform product development.
This role involves working closely with startups to optimize their AI systems and workflows, translating real-world usage into technical insights and improvements for OpenAI’s products. You will collaborate with the research and product teams to enhance model behavior and customer experience, while also building relationships within the startup ecosystem.
As an AI Data Associate, you will work on foundational labeling tasks for various data types like text, speech, audio, and video. Your role involves maintaining strict confidentiality, delivering high-quality labeled data, and supporting daily operational tasks. You will be part of a diverse team focused on developing and deploying AI responsibly.
The AI Success Engineer role involves leading the technical relationship with key customers post-sale, ensuring successful deployment, adoption, and value realization of OpenAI’s platform. Responsibilities include technical enablement, use case identification, deployment planning, and cross-functional coordination to drive business impact and customer success.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
The AI Architect will drive the design and delivery of enterprise-grade AI solutions, shaping the AI capability while delivering production-ready outcomes. Responsibilities include defining the AI architecture strategy, designing scalable and secure solutions, and leading the implementation of data pipelines and model training environments.
The AI Governance Lead will develop and implement a global AI governance strategy, ensuring responsible and ethical AI deployment while fostering innovation. Key responsibilities include leading AI risk management, regulatory alignment, and promoting a culture of responsible AI use across the organisation.
This role involves leading the design, development, and deployment of advanced AI solutions to enhance operational efficiency and support business growth. You will collaborate with senior stakeholders, guide technical direction, and mentor a team of engineers while ensuring systems are secure, scalable, and compliant.
This role involves partnering with engineering leaders to design, validate, and scale advanced AI workflows using OpenAI Codex. You will build high-quality demos, lead workshops, and contribute technical content to the OpenAI Cookbook, while gathering insights to shape product direction and ensure successful AI deployment.
This is a fantastic opportunity to join Luminance, the pioneer of Legal-Grade™ AI for enterprise. Backed by internationally renowned VCs and named in both the Forbes AI 50 list of ‘Most Promising Private AI Companies in the World’ and Inc....
The AI Architect will drive the design and delivery of enterprise-grade AI solutions, working at both strategic and hands-on levels. Responsibilities include defining the AI architecture strategy, designing scalable and secure AI/ML solutions, and leading the implementation of data pipelines and model training environments. The role involves close collaboration with data, engineering, and business teams to ensure alignment with governance and regulatory requirements.
The AI Project Manager will lead the deployment of Claude AI solutions across a major client organisation, managing the full lifecycle from discovery to operational governance. Key responsibilities include programme delivery, vendor management, stakeholder engagement, and creating high-quality documentation and training materials.
This role involves delivering and supporting the Level 4 Artificial Intelligence & Automation Practitioner Apprenticeship Standard, providing engaging training, coaching, assessment, and support to learners. You will manage learners throughout their apprenticeship journey, conduct regular progress reviews, and work closely with employers to personalise learning programmes and workplace projects.
This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.
