Future Tech Jobs
Future Tech Jobs
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has...
This role involves leading the development and deployment of machine learning models that power the firm's trading systems. Responsibilities include setting the long-term vision for the model portfolio, designing training pipelines, building explainability tools, and mentoring a team of ML researchers. The position requires deep expertise in modern ML methods, real-time systems, and quantitative finance.
A Research Scientist role focused on applying Large Language Models to drug discovery challenges, working within an interdisciplinary team of AI and life sciences experts. The position involves developing novel LLM-driven methods, refining models for biological and medical applications, and collaborating across scientific domains. The role requires deep technical expertise in LLMs and a strong foundation in machine learning and computational science.
A Research Scientist in Machine Learning will develop novel deep learning models and algorithms to accelerate drug discovery, working in a cross-disciplinary environment with scientists and engineers. The role involves designing architectures, training models, and applying cutting-edge ML techniques to biological and chemical problems, with opportunities to lead projects and mentor others depending on experience.
This role involves developing and optimizing AI-driven conversational shopping experiences using large language models, multimodal data, and advanced machine learning techniques. The Data Scientist will analyze vast datasets to improve customer interactions with Alexa for Shopping, focusing on NLP, recommender systems, and knowledge graphs. Collaboration with engineers and scientists is key to deploying scalable solutions and driving product innovation through experimentation and data insights.
This role involves designing advanced data and AI architectures for major financial institutions, focusing on scalable, compliant systems that support generative and agentic AI. The specialist acts as a strategic advisor, building data foundations like lakehouses, knowledge graphs, and real-time pipelines while addressing regulatory and technical challenges unique to global finance. Work includes shaping AI-ready data estates, guiding retrieval and grounding frameworks, and influencing AWS product development through deep customer engagement.
This role involves developing automated data analysis workflows and applying NLP, text mining, and AI techniques to extract insights from biomedical literature and scientific datasets. The Junior Data Scientist will work within an R&D team to support drug discovery by building content analytics pipelines and collaborating with cross-functional stakeholders. The position emphasizes data governance, responsible AI, and the use of computational methods to interpret complex scientific information.
Lead and mentor a team of 6 data scientists while driving the development and deployment of custom AI and machine learning solutions for high-impact defence and technology projects. Focus on advanced data exploitation, algorithm development, and technical innovation using Python, TensorFlow, PyTorch, and related frameworks across complex datasets.
AI Engineer (Machine Learning & NLP)Location: Fully Remote (UK)Salary: £60,000 - £70,000 + BenefitsType: PermanentEligibility: Applicants must have the right to work in the UK. Unfortunately, sponsorship is not available for this position.The OpportunityWe're looking for an AI Engineer to...
This role involves developing intelligent, human-centric AI systems that enable machines to understand and adapt to human behaviour in real time. You'll work on multi-modal sensing, contextual modelling, and agentic workflows, applying insights from cognitive science and affective computing to build interactive AI for applications in healthcare, robotics, and consumer technology. The role combines client-facing project delivery with internal research and prototyping to advance the state of the art in human-machine interaction.
As a Data Engineer at Clariti AI, you will play a key role in improving the production quality of the company's price optimization software. Responsibilities include building and optimizing ETL/ELT pipelines, scaling infrastructure, and collaborating with clients on pricing decisions. The role offers significant growth opportunities and involvement in various aspects of the business.
