Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
This role involves leading the design and deployment of production-grade machine learning systems for high-impact clients, particularly in the defence sector. The engineer will work on full lifecycle ML development, from architectural decisions to scalable infrastructure, while mentoring junior staff and shaping engineering standards. Collaboration with cross-functional teams and direct client engagement are central to the role.
As a Senior Data Scientist at Faculty AI, you will lead high-impact AI projects, define data science approaches, and mentor junior colleagues. You will work closely with major pharma firms and academic research centers to develop AI solutions that optimize the research and commercialization of life-changing therapies, ensuring high-quality delivery and building strong client relationships.
Work as a Machine Learning Engineer building production-grade AI systems for clients in energy, sustainability, and public sectors. Focus on operationalising machine learning models, designing scalable infrastructure, and translating technical concepts for stakeholders. Collaborate across engineering, data science, and commercial teams to deliver real-world impact through responsible AI.
Lead the technical direction of complex AI/ML systems in high-risk, government-facing environments, designing scalable production architectures and mentoring engineering teams. Drive innovation in model deployment, CI/CD pipelines, and agentic systems while aligning multi-disciplinary teams with strategic client objectives. Operate at the intersection of technical excellence and public sector impact, delivering AI solutions that improve public services.
This role involves designing and delivering scalable data platforms, building and optimizing data pipelines, and defining data governance standards. You will work closely with cross-functional teams to deliver end-to-end data solutions and support AI and machine learning workflows.
This role involves creating high-converting, data-driven visual content for digital campaigns across Meta, Google, and other online channels. The designer will use performance insights and generative AI tools to rapidly prototype and iterate ads, landing pages, and social media assets. Emphasis is on testing creative concepts, reducing fatigue, and optimising design for both digital and print output.
This role involves creating high-converting digital creatives for a global wellness brand, focusing on performance marketing across Meta and Google. The designer will use data insights and generative AI tools to rapidly prototype and iterate ads, landing pages, and social content. Emphasis is placed on testing, optimisation, and cross-functional collaboration to drive measurable campaign results.
As a Legal Fellow, you will collaborate with AI labs and platforms to design and evaluate advanced generative AI systems, ensuring regulatory compliance and improving model performance. You will also contribute to research publications and join a network of leading legal and AI experts.
As an HFC Fellow, you will collaborate on high-impact AI projects, design and evaluate complex datasets, and contribute to research publications. You'll join a global network of experts, set your own flexible schedule, and gain exposure to cutting-edge AI research and applications.
This role involves leading the design and implementation of high-rigor machine learning and analytical systems within a regulated financial services environment. The individual will define the AI/ML roadmap, develop production-grade models for anomaly detection, forecasting, and behavioral signals, and ensure models are explainable, reliable, and operationally sound. Close collaboration with engineering, data, and product teams is required to take models from concept to production, with ongoing monitoring and performance management.
This role involves designing and building scalable data pipelines, integrating data from multiple sources, and developing AI and machine learning models. You will work closely with analysts and business stakeholders to translate requirements into robust technical solutions, while contributing to data quality, governance, and performance optimization.
This role involves developing and maintaining business systems using .NET and SQL Server, implementing best practices, and working in a hybrid environment. You will collaborate with other engineers to create secure, high-performing applications and improve overall processes.
As a Data & AI Engineer, you will design and build scalable data pipelines, integrate data from multiple sources, and develop advanced analytics and AI solutions. You will collaborate with analysts and stakeholders to deliver high-impact, production-ready solutions, ensuring data quality and performance.
