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.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. This role involves deep collaboration with cross-functional teams to push the boundaries of accelerated computing for AI.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, compiler development, and benchmarking. Collaboration with cross-functional teams and publishing original research are key aspects of this role.
This role involves designing, developing, and testing mathematical algorithms for advanced complex systems. You will work with MATLAB/Simulink and Python, support numerical modelling and simulation, and collaborate with software and systems engineering teams to develop high-performance solutions.
As a Senior AI Engineer, you will lead the design, development, and deployment of enterprise-grade AI solutions, leveraging advanced technologies like LLMs, RAG, and Azure AI services. You will provide technical leadership, establish best practices, and mentor team members while ensuring solutions are secure, scalable, and aligned with business objectives.
Design and build enterprise-scale generative AI platforms, including chatbots, RAG systems, and agentic workflows, integrated into financial data products. Develop production-ready AI infrastructure using Python, LangChain, and cloud technologies on AWS or Azure. Collaborate across engineering and product teams to deploy scalable, full-stack AI solutions that deliver real-time business impact.
This role involves building and maintaining a full-stack application using Next.js, React, and TypeScript, while working closely with AI engineers to integrate and optimize LLMs and AI APIs. You'll also manage cloud infrastructure on GCP and contribute to the platform's technical direction.
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 working within an R&D team to develop cutting-edge solutions in national security using generative AI and machine learning. You will collaborate with industry partners, have end-to-end project exposure, and benefit from a collaborative, autonomous environment with strong career development opportunities.
This role involves designing, building, and deploying advanced machine learning models to solve complex operational challenges in real-world environments. You will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment.
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 Deployment Engineer, you will be responsible for building and maintaining the data infrastructure and system integrations that support AI deployments. You will work on data pipelines, API integrations, and production-grade solutions, ensuring reliable and scalable AI operations.
This role involves designing, developing, and deploying AI and machine learning solutions to improve healthcare outcomes. You will work with multidisciplinary teams to analyze clinical data, build predictive models, and ensure compliance with healthcare regulations and ethical standards.
As an Analytics Engineer, you will work closely with the Engineering, Operations, and Product teams to design and build analytical models for enterprise clients and internal users. Your day-to-day responsibilities will include managing ETL pipelines, creating interactive dashboards, and optimizing data models to drive impactful business decisions.
