Future Tech Jobs
Future Tech Jobs
This role involves deep performance analysis and optimization of cloud and HPC CPU workloads on NVIDIA's CPU architecture. You'll collaborate with developers, researchers, and internal teams to enhance software stacks, create optimized reference code, and influence next-generation CPU design. The position requires strong expertise in low-level programming and performance tuning for enterprise-scale applications.
This role involves deep performance analysis and optimization of CPU workloads for NVIDIA's cloud and HPC platforms. You'll collaborate with developers, researchers, and internal teams to enhance software stacks and influence next-gen CPU architecture. The position emphasizes low-level code optimization, benchmarking, and direct contributions to frameworks and reference implementations.
About the TeamSecurity is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity.The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how...
This role involves leading the design and implementation of large-scale distributed systems that support AI model training, serving, and security. You'll drive architectural decisions, improve reliability and scalability, and collaborate closely with research and product teams to evolve infrastructure in line with evolving needs. The position emphasizes technical leadership, operational excellence, and mentoring within a high-impact AI research environment.
Lead and build Anthropic's first Forward Deployed Engineering team, guiding technical customer implementations of Claude while shaping best practices and product direction. This role combines hands-on technical oversight with team leadership, requiring experience in enterprise AI deployments and scaling engineering teams from the ground up. The manager will travel frequently to customer sites and act as a bridge between field experience and internal product development.
Leads end-to-end delivery of AI agent systems for Fortune 500 clients, managing a team of forward deployed engineers who integrate cutting-edge AI into enterprise operations. Translates complex business challenges into technical roadmaps, ensures production-grade reliability, and drives product improvements through field feedback. Focuses on scaling deployment efficiency and building reusable platform capabilities from customer engagements.
This role involves building and owning end-to-end machine learning components within a generative AI platform, with a focus on retrieval systems, knowledge representation, and RAG pipelines. The engineer will design and implement systems for knowledge retrieval, vector indexing, and context engines that power enterprise AI agents. Work includes developing evaluation frameworks, integrating with enterprise data sources, and collaborating across ML, product, and infrastructure teams to deliver high-impact AI solutions.
Develop and deploy generative AI models in customer environments within the biotech and pharmaceutical sectors. Collaborate with interdisciplinary teams to adapt and optimise proprietary models, build production-grade API integrations, and deliver scientific value through technical deployment and customer engagement. Focus on performance, reliability, and translating research into real-world applications.
This role involves deploying and integrating generative AI models into pharmaceutical and biotech customers' scientific workflows. The engineer will design production-grade API integrations, data pipelines, and model-serving infrastructure while working on-site to troubleshoot and deliver solutions. The position emphasizes customer collaboration, enterprise-grade deployment standards, and translating real-world feedback into product improvements.
Design and implement high-performance machine learning models using C++, CUDA, and PyTorch, with a focus on GPU acceleration and advanced AI applications. Work on cutting-edge research involving Transformers and computer vision to deliver real-world AI solutions. Collaborate within a skilled technical team on innovative projects in a hybrid London-based role.
This role involves designing and deploying Generative AI and LLM-based solutions for synthetic data generation and data augmentation. You will work closely with Product and Engineering to take models from experimentation to production, ensuring data quality and reliability, and communicating technical concepts to non-technical stakeholders.
This role is part of Relation Therapeutics' talent pool for future opportunities in computational and discovery roles within life sciences, with a focus on machine learning engineering for high-performance multi-GPU computing. The company integrates single-cell multi-omics, functional assays, and machine learning to advance drug discovery. Ideal candidates come from life sciences or cross-industry ML engineering backgrounds and are interested in contributing to transformative medicine development.
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
This role involves applying advanced data science and machine learning techniques to solve complex challenges across high-impact public and private sector projects. You will conduct research, develop cutting-edge solutions, and engage in the full data science lifecycle, from data collection to model deployment, while working in a highly secure environment.
