Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work closely with HPC, OS, GPU compute, and systems specialists to architect and optimize performance platforms, and support R&D activities.
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance and develop new solutions.
This role involves building globally distributed, fault-tolerant, and highly scalable cloud ecosystems using Golang and Python. You will work on backend microservices, leverage existing CrowdStrike tools, and collaborate with multiple teams to detect targeted attacks and improve system quality.
As a Senior Software Engineer on the data engineering team, you will work on building and maintaining ultra-high-scale data platforms that process petabytes of data. Your responsibilities will include writing fault-tolerant Java code within Apache Spark, designing scalable data pipelines, and improving the efficiency and latency of high-performance services. You will also research and implement new ways to query data efficiently and provide insights into active threat trends.
This role involves designing and building AI agents and agentic workflows using LLMs, RAG, reasoning, memory, and tool orchestration to solve complex business problems. You will own the delivery end-to-end, from initial exploration to production deployment, and integrate AI into products and core business workflows.
As a Senior Full Stack Engineer, you will be part of the Application Platform team in Manchester, working on a new continuous-deployment paved road. Your responsibilities will include building and owning end-to-end customer-facing analytics products, designing scalable backend systems, and maintaining high standards in testing, security, and observability.
As a Platform Engineer, you will play a crucial role in developing and scaling our hybrid cloud infrastructure, working closely with the Machine Learning and Data Science teams. Your responsibilities will include designing and managing Kubernetes clusters, enhancing CI/CD pipelines, and ensuring robust monitoring and security measures.
This role involves owning and developing large new areas within an enterprise-grade Generative AI platform, working across backend, frontend, and integrating with LLMs and ML models. You will collaborate with product, ML, and infrastructure teams to deliver high-quality features and experiments, ensuring scalability and reliability.
In this role, you will design, build, and scale backend systems that power enterprise GenAI products, focusing on reliability, performance, and deployment across both Scale’s and customers’ infrastructure. You will develop core services and APIs, architect scalable distributed systems, and optimize backend performance for latency, throughput, and cost.
As a Senior Research Data Scientist, you will drive the development of advanced AI models and capabilities, focusing on transformer-based architectures and generative AI. You will collaborate with senior leaders, engineers, and academic partners to translate innovative research into scalable solutions that influence product and platform strategy.
As a Machine Learning Engineer, you will design and build autonomous AI agents using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust and trustworthy AI systems in the insurance and fintech domain.
This role involves designing, building, and shipping full-stack applications using TypeScript and AWS, with a focus on AI and generative AI. You'll work in a fast-paced, agile environment, rapidly prototyping and iterating on new ideas while collaborating closely with product, design, and data teams.
This role involves defining and delivering Cadent’s AI vision and strategy, designing scalable and sustainable AI solutions, and guiding delivery teams through target and transition architectures. You will partner with senior leaders and technical teams to ensure responsible and secure AI adoption, driving innovation and long-term strategic outcomes.
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems. You will collaborate with interdisciplinary teams to solve complex data and software engineering challenges, improve research workflows, and optimize high-performance compute environments.
We are looking for a highly skilled machine learning researcher with significant experience in generative modeling. You will join an interdisciplinary team of machine learners, protein engineers and biologists, jointly working to change the way that we control biology and...
