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.
This role involves building and maintaining a Snowflake-based data platform, designing ELT/ETL pipelines using dbt and Python, and ensuring data quality through governance and security standards. The engineer will collaborate with analysts and business teams to deliver clean, structured data for reporting and support future AI/ML initiatives. Key responsibilities include optimising Snowflake performance, implementing monitoring and cost controls, and contributing to data engineering best practices.
As a Performance Analyst, you will work closely with product teams to develop and maintain insightful dashboards using Power BI and Adobe Analytics. Your role involves defining reporting requirements, delivering ad hoc analysis, and ensuring data quality and governance to enhance digital healthcare services used by millions.
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.
Design and scale batch and real-time data pipelines in Google Cloud, ensuring robust data quality and system observability. Collaborate with data scientists and engineers to support MLOps and modern data infrastructure. Work across a full-stack cloud environment with cutting-edge tooling and high engineering standards.
This role involves developing and deploying AI applications, analyzing model performance, and working with multicore techniques. You will be part of a team focused on AI acceleration, using frameworks like PyTorch and TensorFlow, and tackling complex problems in AI model deployment and optimization.
Lead the development of advanced autonomy systems for unmanned vehicles, designing and implementing algorithms for path planning, obstacle avoidance, and mission execution. Work across the full development lifecycle from R&D to production deployment in a multidisciplinary team, using C++, Python, ROS2, and Linux-based systems. Provide technical mentorship and shape the core intelligence of autonomous systems in real-world maritime environments.
Design and implement agentic AI systems using LLM frameworks within a regulated MedTech environment. Develop and deploy generative AI solutions into production, leveraging Python and PySpark for scalable data processing. Integrate LLM-driven workflows like Claude Code to enable real-time decision-making across intelligent systems.
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.
Microsoft AI Engineer / Azure Artificial Intelligence EngineerThis is a new and exclusive opportunity for a Microsoft AI Engineer / Azure Artificial Intelligence Engineer to join this thriving technology business as they grow their AI Risk Management & Governance teamRole...
This role involves analysing datasets to uncover patterns and trends, supporting the development of machine learning models, and preparing data for analysis. The graduate will create reports and visualisations to communicate insights to stakeholders and collaborate across teams to deliver data-driven impact. It's a hands-on role focused on building foundational skills in commercial data science within a supportive environment.
This role involves developing and deploying machine learning models to solve real-world business problems, using Python or R and a range of data science tools. The candidate will perform exploratory data analysis, clean and process diverse data sources, and collaborate with senior teams to deliver client-focused insights. Emphasis is placed on best practices, model monitoring, and contributing to improved data science workflows in a hybrid working environment.
This role involves designing, building, and integrating AI applications into end-to-end workflows, embedding agentic AI into customer and operational processes, and collaborating with cross-functional teams to deliver robust, production-ready solutions. The focus is on turning emerging AI capabilities into practical, high-value implementations while ensuring reliability, resilience, and safety.
