Future Tech Jobs
Future Tech Jobs
As a Senior GPU Networking Architect, you will develop and optimize GPU communication kernels for large-scale AI systems, focusing on minimizing latency and maximizing efficiency. You will collaborate with hardware, software, and AI teams to co-design communication strategies and contribute to the evolution of GPU-aware programming models.
As a Senior GPU Networking Architect, you will focus on building and optimizing GPU communication kernels for large-scale AI systems. Your role involves deep collaboration with network software, hardware, and AI framework teams to co-design communication strategies that align with GPU execution patterns. You will leverage your expertise in GPU architecture and CUDA programming to improve kernel efficiency, minimize latency, and develop GPU-resident communication primitives.
As a Platform Engineer, you will architect and maintain the infrastructure that enables world-class AI solutions. You will work closely with the Applied AI team to build and refine data science, MLOps, and deployment tooling, ensuring high performance and seamless integration into diverse client environments.
As a Data Scientist, you will work closely with clients and cross-functional teams to define project scope, ensure technical feasibility, and deliver bespoke data science solutions. You will design and implement algorithms and software architectures, build strong client relationships, and contribute to Faculty's thought leadership through teaching and public speaking.
This role involves leading backend engineering efforts, focusing on inter-service testing, monorepo standardization, and improving overall stability. You will work on long-term projects, evaluate impact, and collaborate across multiple teams to drive the company's technical direction and commercial success.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
This role involves building and delivering a new suite of digital and AI apprenticeships, starting with the AI Data Specialist programme. Responsibilities include designing curriculum, creating content, facilitating live sessions, and continuously refining the programme based on learner feedback. The role also involves scaling the provision by onboarding new coaches and developing additional programmes.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
About the TeamThe Technical Success team is responsible for ensuring the safe and effective deployment of ChatGPT and OpenAI API applications for developers and enterprises. We act as a trusted advisor and thought partner for our customers, ensuring developers and...
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...
Member of Technical Staff, Applied AIThe opportunityWe are looking for a Member of Technical Staff with deep expertise in generative modelling to work at the interface between our frontier models and the customers who depend on them. You will join...
Property ListerOn target earnings of £60,000 to £100,000.This is a tried and tested self-employed business model.The Directors currently also operate in a highly successful high street Estate Agency so they have experience in building a business.You will effectively be your...
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities. You will work with non-traditional datasets, build sophisticated neural networks, and collaborate with business stakeholders to drive initiatives from prototypes to production. The position requires strong experience in deep learning, model development, and working with large datasets.
This role involves leading the development of advanced deep learning models to enhance underwriting capabilities. You will collaborate with business stakeholders to prioritize initiatives, transform raw data into predictive features, and drive projects from prototypes to production. The team focuses on using modern frameworks like PyTorch and TensorFlow to solve complex business problems.
Senior Machine Learning Engineer | Cambridge / Hybrid | £80,000–£120,000 + BonusJoin a fast-growing FinTech/InsurTech company in Cambridge that is transforming how financial and insurance products are built using machine learning and data-driven decision-making.Their platform leverages advanced ML models to...
