Future Tech Jobs
Future Tech Jobs
Join us at EntrustAt Entrust, we’re shaping the future of identity centric security solutions. From our comprehensive portfolio of solutions to our flexible, global workplace, we empower careers, foster collaboration, and build solutions that help keep the world moving safely.Get...
As a Senior Program Manager, you will lead the scheduling, scoping, and execution of large-scale engineering projects for the Asset Platform Group. You will work closely with developers, product managers, and engineering managers to ensure timely delivery and effective collaboration across multiple global teams, focusing on platform capabilities that enhance the Falcon product and provide visibility into customer attack surfaces.
This role involves designing and conducting complex data creation tasks using synthetic and model-based methods, as well as coordinating human-in-the-loop data collections. You will work closely with cross-functional teams to ensure the AI systems are best in class, using Python and other tools for data analysis and creation.
This role involves designing and conducting complex data collection and creation tasks to support the development and evaluation of Amazon's AI models. You will work closely with cross-functional teams to ensure the quality and innovation of AI systems, using synthetic data generation, model-supported methods, and human-in-the-loop data collection.
This role involves building and evolving an AI-driven platform that supports agentic workflows in design and engineering. You will design and develop intelligent systems, orchestration layers, and production-ready AI features using modern LLM frameworks. Collaboration with product managers and designers is key to ensure user-focused and high-quality solutions.
Design and deploy AI-driven solutions for robotic and autonomous systems, integrating machine learning, computer vision, and generative AI technologies. Develop scalable cloud-based services and intelligent automation workflows in collaboration with multidisciplinary engineering teams. Focus on real-world applications using LLMs, sensor fusion, and emerging AI frameworks within a modern, agile environment.
The Analytical Engineer will collaborate with cross-functional teams to build and support data products on a modern cloud platform. Responsibilities include designing data pipelines, improving data accuracy, and mentoring team members, with a focus on machine learning and AI projects.
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow...
Discover your future at CitiWorking at Citi is far more than just a job. A career with us means joining a team of more than 230,000 dedicated people from around the globe. At Citi, you'll have the opportunity to grow...
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
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 Data Science Lead in Logistics, you will lead the Autoplanner team to develop and deploy AI systems that optimize planning across global warehouses and last-mile assets. You will collaborate with product and engineering teams to integrate data science models into backend services, mentor team members, and drive best practices in a fast-paced environment.
Lead the strategic and technical development of cutting-edge Generative AI solutions, including a proprietary RAG-based conversational agent, across a global services group. Drive end-to-end design, deployment, and optimisation of LLM pipelines and AI agents on large, complex datasets while mentoring engineering teams and shaping the future of AI-powered client engagement.
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.
Lead the strategic development and hands-on delivery of cutting-edge Generative AI solutions, including a proprietary conversational agent built on RAG and LLM pipelines. Drive technical innovation across a large proprietary dataset, optimising semantic search, agent performance, and model reliability in production. Mentor engineering teams and shape the future of AI across an international services group.
