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.
Develop and scale physical foundation models by bridging research and engineering, transforming prototypes into robust, optimised AI-driven simulation systems. Work across scientific computing, distributed training, and cloud infrastructure to deliver high-impact solutions for real-world engineering problems in collaboration with research teams, customers, and partners.
As a Senior Machine Learning Engineer, you will lead the deployment of AI models and engineering surrogates into customer production environments, working closely with Data Scientists, Simulation Engineers, and customers. You will mentor team members, travel to customer sites, and influence product direction by driving reliable and scalable ML systems.
This role involves building and optimizing production-scale machine learning systems for document classification and extraction, focusing on fraud detection in government-issued IDs. The engineer will work with LLMs and traditional ML models, design training and inference pipelines, and improve accuracy and performance across global document types. Collaboration with applied science, product, and operations teams is central to delivering secure and seamless customer onboarding solutions.
As a Platform Engineer, you will architect and maintain the infrastructure that enables the deployment of world-class AI solutions. You will work closely with the Applied AI team to build and refine data science, MLOps, and deployment tooling, ensuring high performance and seamless integration into diverse client environments.
This role involves building and optimizing production-scale machine learning systems for document classification and extraction, with a focus on fraud detection and identity verification. The engineer will work on LLM/ML pipelines, from training and evaluation to deployment and inference optimization, ensuring high accuracy and performance across global document types. Collaboration with cross-functional teams and mentorship of junior engineers are key aspects of the position.
This role involves designing and maintaining management services for Linux-based edge devices and PLC systems, automating deployments across global sites using Python, C#, and AWS IoT. The engineer will integrate cloud platforms with physical automation infrastructure, ensuring scalability, observability, and reliability of robotic retail solutions through CI/CD pipelines and cloud innovation.
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.
Design and develop large-scale, cloud-based backend systems for automated in-store order fulfilment using Java/Scala and distributed systems. Drive technical initiatives, integrate AI tools into development workflows, and support production systems with a focus on resilience, scalability, and continuous improvement. Collaborate with product teams and mentor engineers in an agile environment.
In this role, you will design and develop autonomous AI systems that support clinical and operational decision-making in healthcare. You will work closely with product and engineering teams to translate requirements into scalable, safe, and reliable AI-driven solutions, focusing on real-world applications and responsible AI practices.
This role involves leading the design, development, and deployment of advanced AI solutions to enhance operational efficiency and support business growth. You will collaborate with senior stakeholders, guide technical direction, and mentor a team of engineers while ensuring systems are secure, scalable, and compliant.
This role involves building and optimizing ecommerce platforms, AI-driven customer communication agents, and automated workflows to enhance customer experience and business performance. You'll develop WordPress sites, integrate payment and booking systems, and implement AI solutions using OpenAI APIs, RAG, and vector search. The role emphasizes translating commercial needs into technical solutions, with a focus on measurable outcomes like conversion rates, lead generation, and operational efficiency.
This role involves creating intuitive, client-facing web applications that visualise complex AI and machine learning insights, primarily for government and public sector clients. You'll work closely with data scientists and engineers to translate data into meaningful interfaces, build reusable frontend components, and establish best practices across the organisation. The position emphasises technical leadership, mentorship, and maintaining high standards in scalable, well-tested React applications.
This role involves designing and building AI-powered software solutions for government digital transformation, with a focus on integrating large language models into production systems. The engineer will work across the full development lifecycle on greenfield projects such as AI-driven job matching and digital skills platforms. Collaboration with multidisciplinary teams is key to translating user needs into scalable, end-to-end technical solutions.
