Future Tech Jobs
Future Tech Jobs
NVIDIA is known as the "AI Computing Company." Our GPUs power modern Deep Learning software frameworks, accelerated analytics, data centers, and autonomous vehicles. We are looking for a Dataflow Development Engineer - LPU Hardware to join our team and develop,...
NVIDIA is known as the "AI Computing Company." Our GPUs power modern Deep Learning software frameworks, accelerated analytics, data centers, and autonomous vehicles. We are looking for a Dataflow Development Engineer - LPU Hardware to join our team and develop,...
As a Tech Recruiter at Databricks, you will drive recruitment in the EMEA region, focusing on identifying and engaging top talent. You will develop full-cycle hiring strategies, build engaged talent pipelines, and use data to inform workforce planning and enhance the interview experience.
SLSQ227R700While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.As Go-to-Market Leader for EMEA Financial Services, you will drive the go-to-market strategy to grow the Banking/Payments, Capital Markets and Insurance...
About UsOcado Group is a global technology leader reinventing retail through AI and Robotic Engineering. While our technology powers the world’s most advanced fulfilment centres, our people drive our international growth.We are now launching a new Global Shared Service Centre...
About UsWe are Ocado Group, and we're bringing world-class automation to online grocery. Our Ocado Smart Platform (OSP) combines cutting-edge robotics, AI, and IoT within our advanced CFCs. We've mastered the single pick, transforming online delivery for our global partners....
This internship involves hands-on work in AI and algorithms, including modelling, training, testing, and data-wrangling. You'll collaborate with a team of experts on diverse projects, develop your skills through coding, and contribute to internal R&D and client projects.
This role involves leading research at the intersection of quantum fluid dynamics and machine learning, specifically focusing on optimizing ultracold-atom devices for quantum sensing and atomtronics. You will develop and implement machine learning methods, publish findings, and collaborate with both academic and non-academic partners to translate research into real-world applications.
This PhD studentship involves researching crack initiation and growth in metals under extreme conditions using large-scale simulations and developing scientific machine-learning models. The project is part of the HetSys Centre for Doctoral Training at the University of Warwick, focusing on interdisciplinary research with real-world applications in engineering and materials science.
This PhD studentship focuses on developing machine-learning models to predict gas transport through organic materials, with applications in fuel cells and batteries. The project involves training on quantum data, molecular simulations, and connecting results to continuum models, contributing to the design of more durable polymer systems.
Computational Protein DesignerThe opportunityWe are seeking a Computational Protein Design Scientist to join our team working at the interface of generative AI and synthetic biology. Working closely with our Lead Computational Protein Designer, you will play a key role amongst...
The opportunityWe are looking for a highly skilled machine learning research engineer with significant experience in training and implementing large scale generative models. In this role you will manage our high performance computing environment, and our model serving initiatives. You...
Are you looking for your next high-impact AI contract where you can hit the ground running and deliver real value from day one?📍 Manchester / Remote (UK-based)💼 Contract (Outside IR35)⏳ Initial 6 months (extension likely)We're working with a well-funded, fast...
This role involves owning the end-to-end analytics product for enterprise learning and development, focusing on individual learner progress, programme-level reporting, and leadership views. You will work closely with the engineering manager, designer, and customer-facing teams to define the product roadmap, gather customer insights, and ensure the analytics product is trusted and actionable.
This role involves working on core enterprise platform systems, focusing on backend services to ensure security, reliability, and scalability for large customers. You will collaborate with product, security, legal, and infrastructure teams to translate business and regulatory requirements into scalable technical solutions.
