Future Tech Jobs
Future Tech Jobs
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build efficient, future-proof models and tools that bridge the gap between numerical computing and real-world applications.
You will play a key role in NVIDIA's JAX development, designing and implementing core components to optimize performance on NVIDIA products. Collaborate with AI researchers to build advanced models and tools that enhance the efficiency of AI systems, bridging the gap between cutting-edge research and real-world applications.
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...
This role involves deploying and optimizing CrowdStrike’s AI-powered threat detection and response capabilities for enterprise customers. The consultant will configure machine learning models, develop automation playbooks, and provide technical leadership in integrating Falcon’s AI features into client environments. A key focus is reducing false positives while enhancing detection efficacy through AI-driven security solutions.
This role involves developing and enhancing iOS SDKs for document capture within mobile applications, focusing on high-quality image acquisition, on-device processing, and seamless integration. The engineer will work on camera capabilities and machine learning features to improve user experience and accessibility, while collaborating with cross-functional teams in an agile environment. The position emphasizes robust, scalable code and continuous delivery within a security-focused identity solutions team.
P-1535At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the...
REQ ID:FEQ227R246Location:London, UKRecruiter: Dina HussainAt Databricks, our core values are at the heart of everything we do; a culture of proactiveness and a customer-centric mindset guide us to build a unified platform that makes data science and analytics accessible to...
This role involves a 12-week training programme in threat detection and incident investigation using the Darktrace platform, followed by hands-on work on the Cyber AI Analyst product. You'll develop AI-driven hypotheses to automate security analysis across networks, email, and cloud environments, collaborating with machine learning and software engineering teams to research, deploy, and refine detection models based on real-world feedback.
This role involves developing and integrating high-performance ML runtimes for Fractile's novel AI accelerator hardware, focusing on inference server integrations with open-source frameworks like PyTorch, vLLM, and SGLang. Engineers will work closely with hardware and ML teams using a co-design approach to optimise performance. The position emphasizes low-level runtime development in Rust and deep collaboration across software and hardware layers.
This role involves developing and integrating a high-performance Rust-based runtime for AI accelerators, focusing on inference server compatibility with open-source ML frameworks like PyTorch, vLLM, and SGLang. The engineer will work closely with hardware and ML teams using a co-design approach to optimize performance for large language models. Collaboration and ownership in a fast-paced, innovative environment are key aspects of the position.
This role involves leading data and AI initiatives to drive business performance, working closely with various teams to deliver insights and improve decision-making through analytics and emerging technologies. The Lead Data & AI Analyst will focus on developing reporting, dashboards, and performance insights while exploring AI applications to enhance efficiency and customer experience.
The AI Architect will drive the design and delivery of enterprise-grade AI solutions, working at both strategic and hands-on levels. Responsibilities include defining the AI architecture strategy, designing scalable and secure AI/ML solutions, and leading the implementation of data pipelines and model training environments. The role involves close collaboration with data, engineering, and business teams to ensure alignment with governance and regulatory requirements.
This role involves driving digital transformation by identifying automation opportunities, building internal software tools, and implementing AI solutions to improve business efficiency. The candidate will work closely with management to develop data-driven insights, streamline processes, and prototype innovative technologies. It's a hands-on position offering direct impact on how the organisation adopts emerging tech like AI and low-code platforms.
As an Applied AI Engineer, you will work directly with enterprise clients to build advanced AI solutions, ranging from cybersecurity to journalism and genomics. Your role involves gathering business requirements, translating them into technical solutions, and optimizing AI models to meet client needs. You will collaborate with cross-functional teams, write production code, and leverage the Scale Generative Platform (SGP) to develop cutting-edge AI agents.
This role involves designing and governing the software architecture for autonomous and robotic systems used in defence applications. The architect will establish scalable CI/CD pipelines, ensure compliance with safety-critical standards, and integrate software across control systems, computer vision, sensor fusion, and simulation platforms. The position operates within an R&D environment focused on evolving prototypes into qualified systems for global military deployment.
