Future Tech Jobs
Future Tech Jobs
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 collaborating 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, 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.
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.
Lead the development and deployment of machine learning models from concept to production, working with real-world, imperfect data in regulated environments. Focus on rigorous experimentation, statistical reasoning, and integration of ML components into broader data platforms while collaborating across technical and non-technical teams.
MLOps Engineer / Machine Learning EngineerLocation: Portsmouth (2 days every other week on-site, remainder remote)Rate: Up to £537 per day (Umbrella only)Clearance: MOD SC Clearance required (enhanced vetting applies)Your new companyYou will be joining a leading global consultancy delivering critical...
This role involves working in a R&D team to develop cutting-edge AI and machine learning solutions for national security applications. 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.
As an AI Deployment Engineer, you will be responsible for building and maintaining the data infrastructure that supports AI deployments, integrating AI solutions into existing business systems, and ensuring reliable and scalable production-grade systems. You will work closely with AI Deployment Strategists to take prototypes to production, manage data models, and troubleshoot integration issues.
This role involves owning the data infrastructure for AI deployments, integrating AI solutions into existing business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production and maintain the technical backbone of the AI tooling.
This role involves hands-on development and deployment of LLM-based applications into production environments, bridging the gap between AI/ML and production-grade software. You will work in a newly formed R&D team, contributing to modern AI approaches and shaping how data drives product capability in a fast-growing, market-leading company.
This role involves designing, building, and integrating AI applications into end-to-end workflows, embedding agentic AI into customer and operational processes, and collaborating with cross-functional teams to deliver robust, production-ready solutions. The focus is on turning emerging AI capabilities into practical, high-value implementations while ensuring reliability, resilience, and safety.
This role involves developing and deploying machine learning models for real-world signal processing and automation challenges, with a focus on extracting actionable intelligence from complex, noisy data. You'll work on mission-critical systems applying AI to tasks like signal classification and intelligent frequency selection. The position bridges advanced ML techniques with practical engineering in a high-impact technical environment.
This internship involves hands-on work in AI and algorithms, including modelling, training, testing, and data-wrangling. You'll collaborate with a team of experts on diverse projects, develop your skills through coding, and contribute to internal R&D and client projects.
