Future Tech Jobs
Future Tech Jobs
NVIDIA has been defining computer graphics, PC gaming, and accelerated computing for more than 25 years. With an outstanding legacy of innovation, driven by phenomenal technology, and extraordinary people, NVIDIA is looking for a strong technical principal architect to join...
About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.About the roleForward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier...
About the teamOpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development.About the RoleWe are looking for customer-focused software engineers to build effective...
This role involves optimizing and deploying deep learning models for high-performance inference on GPU platforms, working closely with research scientists, software engineers, and hardware experts. The focus is on improving inference speed and profiling deep learning workloads to identify and remove bottlenecks.
AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)Req ID: CSQ426R186MissionThe AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind...
This role involves designing, building, and deploying generative AI solutions using large language models and modern machine learning techniques. You will work on practical applications like intelligent automation, document processing, and customer-facing AI tools, collaborating with data engineering and software teams to productionize solutions and ensure they align with governance standards.
As a Machine Learning Engineer, you will design and implement innovative machine learning solutions, focusing on training custom models, building robust ML pipelines, and deploying systems at scale. You will work on audio processing tasks, build and maintain training and inference pipelines, and collaborate with product and business teams to translate requirements into practical ML solutions.
This role involves building and deploying AI-integrated full-stack applications, incorporating cloud AI services, and developing LLM-powered features. You'll work in a small, fast-moving team, translating stakeholder requirements into working software, and contributing to internal AI tools and best practices.
This role involves leading the hands-on development of internal AI tools and chatbots, defining and evolving the LLM architecture, and building APIs, backend services, and data pipelines. You will work closely with the Head of AI and Product to ensure solutions deliver measurable business value, while setting engineering best practices and mentoring other AI engineers.
This role involves researching, designing, and implementing new software, participating in group meetings, and taking ownership of project delivery. You will work with innovative technologies and large-scale computer systems, gaining exposure to the AI and HPC industries in a small, relaxed office environment.
This PhD studentship involves researching a new paradigm for 'intrinsically-aligned' artificial intelligence, where accuracy, fairness, and explainability are all considered when selecting the best AI model. The project is interdisciplinary, collaborating with the University of Manchester, and aims to inform human decision-making processes.
As a Machine Learning Engineer, you will design and implement innovative machine learning solutions, focusing on training custom models, building robust ML pipelines, and deploying systems at scale. You will work on audio processing tasks, build and maintain training and inference pipelines, and collaborate with product and business teams to translate requirements into practical ML solutions.
This role involves designing and deploying sophisticated AI systems using large language models, developing RAG pipelines, vector search solutions, and agent-based workflows. You will work in a fast-paced, collaborative environment, focusing on building production-grade applications that deliver tangible real-world impact.
As a Senior Java Software Engineer, you will join a cutting-edge, research-driven company focused on developing artificial intelligence and machine learning solutions. You will work with a talented team on innovative projects, leveraging Java, Python, AWS, and microservices to build systems that push the boundaries of what's possible in the industry. The role offers a dynamic and collaborative environment with opportunities for growth and learning.
This role involves designing, building, and deploying machine learning models into production-grade engineering software systems. You'll work across the full ML lifecycle, from data preparation to model deployment, and collaborate with engineers and domain specialists on complex, real-world problems. The focus is on applied AI, ensuring models are efficient, scalable, and production-ready.
