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 leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
This role involves leading the ML Engineering capability, designing and building ML pipelines, and delivering NLP and LLM-driven solutions. You will work closely with Data Scientists to support and improve models in production, and build APIs and data products to enable ML solutions across the business.
As a Software Engineer, you will play a crucial role in building and operating the inference platform, connecting deep expertise in distributed systems programming with hands-on knowledge of Kubernetes-based platforms. You will support the platform in production, ensuring high-quality, user-focused features and maintaining platform stability, reliability, and scalability.
This role involves working on a groundbreaking platform that transforms the biopharmaceutical industry by leveraging AI and cloud infrastructure. You will collaborate with engineers, scientists, and ML researchers to design, operate, and refine cloud infrastructure, develop tools, and enhance software development practices.
This role involves designing and building scalable AI and machine learning solutions within Barclays' AI and engineering ecosystem, with a focus on responsible and enterprise-wide adoption. The engineer will work on modern AI technologies including generative AI, LLMs, and retrieval-augmented generation, collaborating with data scientists and stakeholders to deploy secure, production-grade systems. Emphasis is placed on cloud-based architectures, data pipelines, and alignment with governance, risk, and strategic business objectives.
This role involves designing, developing, and deploying production-grade AI/ML systems using Azure AI foundry and multi-agent architectures. The engineer will build generative AI solutions, including RAG pipelines and autonomous agent systems, integrated with enterprise data environments. Focus is on scalable, reliable AI systems with strong collaboration across data, DevOps, and product teams.
This role involves hands-on AI solution development from concept to deployment, working closely with IT, operational, and commercial teams. Responsibilities include building and deploying AI models, ensuring security and scalability, and driving business adoption of AI tools.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of...
This role involves building and maintaining scalable ML/AI systems, with a focus on Kubernetes orchestration, CI/CD automation, GPU-optimised model deployment, and end-to-end observability. The engineer will own the full ML lifecycle from code to production, ensuring reliability, fairness, and audit readiness in a regulated environment.
This role involves designing, developing, and implementing industrial process control systems, including SCADA development, PLC programming, and advanced control techniques like PID and AI. You will work closely with R&D and production teams to deliver practical engineering solutions and continuously improve existing systems.
This role involves deploying and maintaining cloud infrastructure for AI and machine learning solutions, building CI/CD pipelines, and supporting the setup of tools for model training and inference. You will work closely with experienced engineers and cross-functional teams to deliver scalable and secure solutions, with a focus on AWS and GenAI projects.
Our client is building the most advanced AI platform in their market. They help their clients serve customers with unmatched speed and accuracy.They’ve invested heavily into building the ML stack, partnered with leading universities, and trained models on millions of...
This role involves building and evolving backend services for AI-driven products used by global media organizations. You will focus on scalability, performance, and reliability, working closely with Product and Data Science teams to enhance the platform's core systems.
