Future Tech Jobs
Future Tech Jobs
You will lead the research, design, and implementation of security architecture for NVIDIA's next-generation networking products. This involves hands-on work with hardware and software, collaborating with internal and external teams to meet security standards and develop innovative solutions.
A Senior Architect in the Forward Deployed Engineering team at Databricks leads the design and implementation of production-grade data and AI solutions for strategic customers. This role involves deep technical engagement, from architecture to implementation, integrating Databricks' platform into client environments while ensuring scalability, security, and business impact. The position emphasizes customer empathy, cross-functional collaboration, and the creation of reusable assets that influence product direction.
As a Senior Specialist Solutions Engineer, you will guide customers in architecting production-grade ML applications on Databricks, aligning their technical roadmap with the Databricks Data Intelligence Platform. You will provide advanced technical support, lead deep-dive sessions, and serve as a trusted advisor for GenAI solutions, while also driving community growth through thought leadership activities.
NVIDIA is looking for an outstanding passionate and talented Senior SW & System Architect to join our SW Architecture group. The position includes researching new technologies with focus on architecture definition of groundbreaking technologies in different domains - networking, security,...
This role involves developing advanced sensor-guided robotic manipulation systems for automated grocery fulfillment. The engineer will design and implement real-time algorithms, work on pre-production robotics systems, and collaborate with research and production teams to integrate novel solutions into the Ocado Smart Platform. The work focuses on cutting-edge challenges in grasping, motion planning, and system integration within a highly automated environment.
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.
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.
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.
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 maintaining a secure, scalable AI platform infrastructure, focusing on CI/CD pipelines, containerised workloads, and platform reliability. You'll collaborate with data science and engineering teams to deploy and support AI agents, using cloud-native technologies and Infrastructure as Code. The position emphasizes automation, observability, and performance optimisation in a high-availability environment.
This role involves building and deploying data science, machine learning, and simulation models to help organisations make high-value strategic decisions. You'll work hands-on with advanced techniques including forecasting, optimisation, and AI, with a strong focus on LLM-based solutions such as RAG, fine-tuning, and agent-based workflows. The role blends technical delivery with direct stakeholder engagement, requiring translation of complex outputs into actionable business insights across diverse industries.
The AI Engineer will design and deploy scalable AI and machine learning systems, focusing on productionizing LLMs and GenAI solutions. Key responsibilities include building RAG pipelines, optimising model performance, implementing MLOps/LLMOps workflows, and ensuring responsible AI practices. The role involves close collaboration with data scientists and architects to deliver secure, real-time AI capabilities within complex digital transformation initiatives.
This role involves building scalable data platforms to support AI systems, with a focus on data ingestion, transformation, and integration for advanced analytics and LLM-powered applications. You'll work with JSON, DataFrames, and REST APIs to prepare complex datasets for retrieval-augmented generation, semantic search, and scenario modelling. The position requires strong Python and data engineering skills within an AI-driven enterprise environment.
This role involves designing and delivering AI-powered solutions for government and enterprise clients, spanning the full AI solution lifecycle. You'll work hands-on with technologies like Python and modern AI frameworks, translate business challenges into technical solutions, and engage directly with stakeholders to demonstrate and explain complex systems. The position emphasizes customer collaboration, innovation, and continuous learning in a fully remote, flexible environment.
As a Software Engineer on the ML Infrastructure team, you will design and build platforms for scalable, reliable, and efficient serving of LLMs. Our platform powers cutting-edge research and production systems, supporting both internal and external use cases across various...
