Future Tech Jobs
Future Tech Jobs
Research and develop techniques to GPU-accelerate AI and HPC workloads, focusing on deep learning, machine learning, and performance optimization across modern CPU and GPU architectures. Collaborate with experts in industry and academia, publish findings, and influence next-generation hardware and software design. Work on low-level system optimizations and contribute to developer education through blogs and conferences.
Research and develop GPU-accelerated techniques for AI and HPC workloads, focusing on deep learning, machine learning, and performance optimization across modern CPU and GPU architectures. Collaborate with experts in industry and academia to analyze and optimize complex algorithms, while contributing insights to influence next-generation hardware and software design. Publish findings through blogs and conferences to support and educate the developer community.
This role involves working closely with customers in the Travel and Hospitality sector to understand their business challenges and guide them in adopting AWS cloud solutions. The Solutions Architect leads technical engagements, including architecture reviews, workshops, and solution design, while acting as a trusted advisor. They also contribute to creating reference architectures and advocate for customer needs internally, blending technical expertise with strategic business insight.
Lead end-to-end deployment of a Kubernetes-based AI simulation platform into customer environments, serving as the primary technical liaison for C-suite stakeholders while building and scaling regional deployment teams. The role combines hands-on infrastructure leadership with executive engagement, ensuring deployments meet technical, security, and compliance standards in highly regulated industries such as aerospace, energy, and semiconductors.
Lead and develop a team of Specialist Solution Architects focused on supporting high-potential startups across EMEA in adopting AWS technologies, particularly in GenAI, accelerated compute, and distributed training. Drive technical go-to-market strategy, establish thought leadership, and collaborate with product teams to shape AWS offerings based on startup feedback. Work closely with CxO-level stakeholders and technical teams to scale solutions and build repeatable technical assets.
Build and own end-to-end customer-facing analytics products using .NET and TypeScript, with full-stack responsibility from frontend to Kubernetes-based backend. Operate production services on a modern cloud-native platform using GitOps, Crossplane, and declarative infrastructure. Focus on scalable APIs, accessible UIs, observability, and secure, cost-aware deployments in a continuous delivery environment.
Design and develop cutting-edge mechatronic systems for medical technology applications, focusing on robotics, diagnostics, and drug delivery. Lead hardware design efforts from concept to manufacture, conduct first-principle analyses, and support prototyping and testing. Collaborate across disciplines to solve complex engineering challenges in healthcare innovation.
Lead a team of engineers in building a modern, AI-driven data platform that integrates real-time data and scalable systems for major retail and CPG clients. Focus on full-stack development with .NET, Python, and React, while driving best practices in code quality, CI/CD, and cloud-native infrastructure on Kubernetes and multi-cloud environments. Play a key role in mentoring engineers and shaping technical direction across platform, product, and data teams.
This role involves building and improving large-scale distributed systems for Databricks' Lakehouse Platform, focusing on backend services that enable secure, high-performance data storage and access across cloud infrastructures. You'll work on reliability, scalability, and developer experience, tackling challenges from infrastructure to product features. As a founding team member in London, you'll help shape the future of a unified data and AI platform.
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 providing architectural leadership for enterprise-scale data and analytics platforms that support critical national services. Responsibilities include defining and governing solution architectures, translating business requirements into technical designs, and leading a team of architects in a highly regulated environment.
This senior role involves collaborating with portfolio managers and analysts to design and deliver new investment solutions, focusing on fixed income. The successful candidate will drive automation and leverage AI/ML to enhance productivity, while mentoring junior team members.
This role involves scoping, building, and delivering custom AI solutions for major financial institutions, translating complex operational needs into actionable technical requirements. You'll work closely with both clients and engineering teams to ensure AI tools are effectively designed, tested, and deployed in regulated environments. The position emphasizes client engagement, workflow design, and contributing to strategic capability development within a high-impact AI consultancy.
Lead the delivery of AI-powered agents for critical processes in life sciences and healthcare, acting as a bridge between advanced technology and real-world impact. Drive enterprise implementations, manage high-stakes client relationships, and shape product development through direct customer insights. Work across engineering, data science, and business teams to scale solutions and build reusable delivery frameworks.
This role involves conducting deep technical investigations into sophisticated threat actors targeting OpenAI's systems or misusing its AI models. The investigator will proactively hunt for malicious activity, analyze adversary behavior and infrastructure, and translate findings into scalable detection and disruption strategies. They will also build automation and AI-assisted workflows to enhance investigative efficiency and collaborate with cross-functional teams to improve security, safety, and enforcement systems.
