As a Solutions Architect, you will lead technical discovery and build reference architectures for enterprise-ready agentic AI products on the NVIDIA stack. You will collaborate with partners to develop proofs of concept, optimize workloads, and create reusable assets like benchmark reports and playbooks.
As a Solutions Architect, you will lead technical discovery and build reference architectures for AI application wrappers, orchestrating agents, and specialized workflows using NVIDIA's stack. You will work closely with partners to develop enterprise-ready agentic AI products, optimize workloads, and create reusable enablement assets.
This role involves leading the strategy and development of BIMM University's digital platforms, AI solutions, and software engineering. Responsibilities include overseeing digital services, driving AI adoption, and ensuring platform security and reliability. The role also involves collaborating with academic and technical teams to enhance the student and colleague experience.
This role involves leading the data and AI strategy, building a high-performing team, and turning emerging technologies into business value. Responsibilities include defining the AI roadmap, applying AI across products and services, and ensuring robust MLOps and data governance practices.
This role involves designing, building, and delivering backend services and APIs for an AI layer in an investment management firm's portfolio technology platform. You will work closely with a frontend engineer to integrate AI capabilities, ensure secure data handling, and monitor system performance.
This role involves designing and developing Python backend services and APIs using FastAPI, building Generative AI and Agentic AI applications, and integrating LLMs with enterprise applications. You will work with AWS services, CI/CD pipelines, and collaborate with experienced AI engineers and architects to deliver secure, scalable AI solutions.
This PhD studentship focuses on developing hybrid fault diagnosis methods for wind turbine generators by combining physical drivetrain models with AI-driven data analysis. The research aims to improve early detection of mechanical and electrical faults in offshore wind turbines using advanced condition monitoring systems, with work involving analytical modelling, simulations, finite element analysis, and experimental validation. The project addresses a critical gap in current monitoring systems, which struggle with false alarms and poor detection of electrical faults.
This role involves delivering advanced technical AI and ML training to engineers and data scientists, designing and developing curriculum and learning solutions, and working with enterprise clients to understand their technical learning needs. The position offers ongoing upskilling in the latest AI technologies and is suitable for experienced AI/ML professionals with strong communication skills.
This role involves leading the strategic and technical adoption of AI across engineering, product, IT, and operations at Becrypt. Responsibilities include identifying AI opportunities, designing secure AI platforms, and developing governance frameworks. The role requires hands-on technical expertise in Docker, Python, FastAPI, TypeScript, and AWS Bedrock.
This PhD studentship focuses on developing AI-enhanced flexible antenna systems for next-generation wireless networks, specifically targeting 6G technologies. The research will explore AI-driven methods for channel estimation, beamforming, and real-time network optimisation to improve system resilience, energy efficiency, and coverage in dynamic environments. The candidate will work within a research group at The University of Manchester, contributing to cutting-edge advancements in wireless communication systems.
This role involves leading the technical direction of a new Digital & AI capability, designing and developing AI-powered applications, and establishing best practices. You'll work hands-on with modern technologies like React, Node.js, and AWS while mentoring developers and collaborating with cross-functional teams.
This role involves designing and scaling Azure Databricks-based data platforms, building robust data pipelines, and developing AI and LLM-powered capabilities. You will work closely with Product, Engineering, and Business stakeholders to deliver data products that support commercial decision-making and optimize cloud environments for performance and cost.
This role involves designing and building scalable data platforms using Databricks, SQL, and modern cloud technologies. You will work closely with stakeholders to transform complex data challenges into innovative solutions, driving data-driven decision-making and AI adoption across the organisation.
This role involves designing and delivering practical applications and automations using AI-assisted development tools across Office 365, Power Platform, SharePoint, Power BI, and Azure. You will work closely with stakeholders to turn business needs into working software, deliver AI initiatives from MVPs to production-ready tools, and promote collaborative applications within the Office 365 tenancy.
This role involves contributing to the design and development of technology solutions within Barclays' digital infrastructure, with a focus on innovation and collaboration across teams. The apprentice will work on real-world projects in AI and data science, applying theoretical learning to practical banking challenges. Emphasis is placed on operational excellence, risk management, and delivering customer value through technology-driven solutions.
