Future Tech Jobs
Future Tech Jobs
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 HPC, OS, and systems specialists to develop and optimize performance platforms, automate deployment, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
As a Senior Research Engineer, you will work on cutting-edge challenges in generative AI, specifically focusing on creating high-quality, expressive, and real-time synthetic voices. You will adapt and optimize speech models, implement post-training techniques, and integrate novel architectures to enhance realism and responsiveness in TTS systems.
The Deployment Strategist role involves partnering with sales to build C-suite trust, performing deep discovery to map the customer's organization, and defining the value and scope of AI projects. You will act as the product manager for the customer's problem, guiding the project from initial scoping to successful delivery and adoption.
This role involves building globally distributed, fault-tolerant, and highly scalable cloud ecosystems using Golang and Python. You will work on backend microservices, leverage existing CrowdStrike tools, and collaborate with multiple teams to detect targeted attacks and improve system quality.
As a Field Service Technician, you will travel extensively to customer sites in the Indianapolis and Midwest regions to resolve complex automation issues, mentor colleagues, and manage resources during repairs and deployments. You will work closely with various teams to maintain and improve Ocado's advanced robotic systems, ensuring smooth operations and customer satisfaction.
The AI Engineer will design and implement a customer-facing AI compiler and interface for financial market analytics using natural language. Responsibilities include building a multi-layered AI agent, integrating AWS Bedrock, and developing frontend components to present AI outputs and user interactions.
This role involves designing and building AI-powered digital tools to improve customer and internal team outcomes. You'll work across the full development lifecycle, from prototyping to deployment, using Python and modern software engineering practices. Collaboration with product, UX, and operational teams is key, with a focus on solving real-world service challenges through AI and automation.
You will design and implement agentic AI systems capable of autonomous decision-making and task execution, building custom LLM pipelines, memory architectures, and tool-use frameworks. You'll collaborate with product and engineering teams to integrate AI into real-world workflows and contribute to a proprietary AI platform in a greenfield environment.
This role involves designing and building AI agents for fraud detection, embedding AI capabilities across the software development lifecycle, and improving engineering efficiency through AI-driven code validation and automation. The Technical Lead will mentor engineering teams and build scalable, production-grade software and AI-enabled platforms.
This role involves building and deploying production AI applications using LLMs, designing agentic workflows, and developing scalable backend APIs and cloud-native services. You'll work closely with engineering, product, and business teams to improve automation, decision-making, and user experience through intelligent workflows and AI-powered features.
This role involves designing, developing, testing, and maintaining software solutions for advanced navigation and intelligent systems. You will collaborate with a multidisciplinary team, working on projects that integrate sensor technologies, computer vision, and AI, while focusing on building reliable and high-performance software for real-world applications.
The Lead AI Engineer will design, develop, and deploy AI-driven solutions within a Microsoft Azure environment, working closely with software engineers, data specialists, and product teams. The role involves integrating Azure AI, Microsoft CoPilot, and Model Context Protocol into existing business systems, with a focus on improving performance, efficiency, and user experience.
Design and develop embedded C++ software for intelligent camera systems operating in real-world security and defence environments. Work across the full software stack, integrating with hardware and AI-driven algorithms within embedded Linux systems. Focus on build automation, CI/CD, testing, and deployment workflows in a lean engineering team solving novel technical challenges.
