Future Tech Jobs
Future Tech Jobs
NVIDIA’s Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the...
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance and develop new solutions.
As a Senior Knowledge Engineer, you will design and implement a system that treats global infrastructure as a formal graph, ensuring every node and edge is traced back to a versioned source of truth. You will lead the development of a 'Universal Translator' framework to connect and normalize data from various APIs, architect the Knowledge Construction Engine, and work cross-functionally with multiple teams to ensure data integrity and performance.
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...
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...
The Red Team TechOps Engineer will support Red Team activities by maintaining and managing the technology stack, ensuring infrastructure compliance, and proactively identifying improvements. The role involves administering Windows and Linux systems, scripting in Python and Bash, and working with cloud services like AWS and Azure.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
As a Senior AI Engineer, you will design, build, and deploy AI-driven solutions that automate processes and reduce manual effort. You'll collaborate with development, QA, and IT teams to deliver impactful solutions, identify opportunities for AI application, and champion responsible AI practices.
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.
As a Senior Full Stack Engineer, you will be part of the Application Platform team in Manchester, working on a new continuous-deployment paved road. Your responsibilities will include building and owning end-to-end customer-facing analytics products, designing scalable backend systems, and maintaining high standards in testing, security, and observability.
This role involves owning and developing large new areas within an enterprise-grade Generative AI platform, working across backend, frontend, and integrating with LLMs and ML models. You will collaborate with product, ML, and infrastructure teams to deliver high-quality features and experiments, ensuring scalability and reliability.
This role involves designing, building, and shipping full-stack applications using TypeScript and AWS, with a focus on AI and generative AI. You'll work in a fast-paced, agile environment, rapidly prototyping and iterating on new ideas while collaborating closely with product, design, and data teams.
Develop and optimize generative machine learning models for protein design, working closely with biologists and engineers to translate model outputs into real-world wet lab experiments. The role emphasizes robust ML development, data pipeline construction, and rapid iteration based on experimental feedback, within an interdisciplinary research environment focused on advancing synthetic biology.
This role involves building and shipping production features across a platform, working with APIs, services, user interfaces, data integrations, and AI-agent workflows. You will develop scalable, secure, cloud-native software using Python, .NET, and JavaScript/React, and contribute to AI and RAG features, data engineering, and customer integrations.
Leads and develops an AI engineering team, shaping technical standards and delivering scalable AI solutions in production environments. Combines strategic leadership with hands-on technical work, including mentoring engineers and guiding AI architecture. Engages with clients and stakeholders to design and deploy modern AI systems using cloud platforms and agentic technologies.
