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. Collaboration with cross-functional teams and conducting original research are key aspects of this role.
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.
This role involves conducting in-depth research on nation-state adversary operations and targeted intrusions. Responsibilities include reverse engineering malware, developing automated analysis tools, and producing actionable intelligence reports to help customers mitigate threats. The position is part of CrowdStrike’s Technical Analysis Cell, a team at the forefront of cybersecurity.
This role involves identifying and tracking vulnerabilities and exploit techniques used by cyber adversaries. The Senior Intelligence Analyst will collaborate with subject matter experts to produce intelligence products, develop tools for predictive analysis, and brief stakeholders on threat trends.
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.
Amazon Web Services (AWS) is looking for experienced and motivated business-oriented technologists who possess a unique balance of business knowledge, effective interpersonal skills, and some technological depth in the following areas: analytics/big data, machine learning and generative artificial intelligence. This...
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.
The AI Deployment Strategist will partner with business units to identify and scope high-impact AI and automation opportunities, lead discovery and scoping sessions, and build and deploy AI solutions. You will work across teams like ops, finance, sales, and support, translating business problems into working AI solutions and driving adoption.
This role involves delivering technical AI and machine learning curriculum through workshops and mentoring, supporting apprentices in developing practical skills aligned with industry needs. The lead will facilitate sessions on topics including data ethics, model deployment, and responsible AI, while contributing to continuous improvement of learning products. A strong emphasis is placed on creating an inclusive, engaging learning environment and guiding apprentices through complex technical concepts in real-world business contexts.
This role involves delivering technical AI and machine learning curriculum to apprentices through workshops and mentoring, while fostering engagement and professional growth. The trainer will cover core topics including ML lifecycle, data ethics, model deployment, and MLOps, ensuring learners develop practical skills aligned with industry needs. Continuous improvement of learning content and collaboration with coaching teams are key to driving apprentice success.
This role involves designing and deploying end-to-end AI-powered solutions in secure, scalable production environments on Azure. The engineer will build backend services, integrate AI capabilities into business workflows, and ensure robust monitoring, security, and operational support. Collaboration with architects and product teams is key, along with mentoring junior engineers and advancing engineering standards.
Design and deploy production-grade AI and LLM-powered applications on Microsoft Azure, moving from experimentation to scalable enterprise solutions. Work across the full AI lifecycle, building RAG systems, agentic workflows, and MLOps pipelines using modern tooling. Collaborate with data and platform teams to deliver secure, business-impacting AI products.
Lead the adoption and integration of AI agents and copilots across a large public sector organisation, driving automation and augmentation in real production environments. Develop reusable frameworks, governance, and best practices while supporting teams to build and deploy solutions using platforms like Microsoft Copilot, Azure AI, and GPTs. Balance strategic enablement with hands-on technical guidance to deliver measurable business impact.
This role involves extending and improving a 22-agent agentic AI platform that connects fragmented school data and surfaces actionable insights. Responsibilities include building and refining agent sub-graphs, improving prompt engineering, and contributing to LLM benchmarking. The platform integrates multiple LLMs and uses LangGraph with a supervisor-of-supervisors architecture.
This role involves hands-on AI solution development from concept to deployment, working closely with IT, operational, and commercial teams. Responsibilities include building and deploying AI models, ensuring security and scalability, and driving business adoption of AI tools.
