Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
As a Senior Quantum Algorithm Researcher, you will lead technical collaborations with supercomputing centers and industry partners, driving innovation in AI for quantum algorithms and advanced simulations. Your work will contribute to NVIDIA's quantum product development and strategic partnerships, with a focus on publishing impactful research and representing the company at industry conferences.
This role involves supporting the sales team by conducting technical demonstrations, developing and maintaining technical documentation, and contributing to product roadmap discussions. The Corporate Sales Engineer will also mentor junior team members, conduct competitive research, and help improve win rates and sales processes.
The Corporate Sales Engineer role at CrowdStrike involves a mix of technical and strategic responsibilities, including supporting the sales process, conducting competitive research, and developing technical solutions. You will work closely with cross-functional teams to drive innovation and improve sales efficiency while mentoring junior engineers and contributing to the company's technical documentation.
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The role involves maintaining confidentiality, working with various data types (text, speech, image, video), and delivering high-quality labelled data using in-house tools. You will be part of a diverse team focused on improving Alexa’s performance through dialogue evaluation and data annotation.
The role involves maintaining strict confidentiality, working with various data types (text, speech, image, video), and delivering high-quality labelled data using in-house tools. You will contribute to improving Alexa's performance by evaluating and annotating data, while also supporting daily operations and process improvements.
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 designing and building AI-powered digital tools to improve customer and internal team outcomes. You'll work across the full development lifecycle, from prototyping to deployment, using Python and modern software engineering practices. Collaboration with product, UX, and operational teams is key, with a focus on solving real-world service challenges through AI and automation.
You will design and implement agentic AI systems capable of autonomous decision-making and task execution, building custom LLM pipelines, memory architectures, and tool-use frameworks. You'll collaborate with product and engineering teams to integrate AI into real-world workflows and contribute to a proprietary AI platform in a greenfield environment.
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.
As an AI Deployment Strategist, you will partner with business units to identify and scope high-impact AI and automation opportunities, lead discovery and scoping sessions, and build AI agents and workflows using Python and LLM frameworks. You will work closely with the AI Deployment Engineer and other teams to translate business problems into working AI solutions and drive adoption across the organisation.
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.
As an AI Project Manager, you will lead the planning and delivery of AI and machine learning projects from concept to implementation. You will work closely with cross-functional teams to ensure projects are delivered safely, commercially, and with measurable business value, while maintaining governance and stakeholder alignment.
