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 researching and applying modern AI techniques to RF signal data, focusing on signal recognition, identification, localisation, and manipulation. The work combines algorithm development with practical machine learning applications in a sensor-rich environment, requiring strong software engineering practices and collaboration with stakeholders. It is a research-focused position with opportunities for hybrid working and publication.
This role involves advancing Alexa's conversational AI by researching and deploying large language models to improve reasoning, tool integration, and customer experience. The scientist will work across the full lifecycle from ideation to production, collaborating with engineers and product teams to solve complex NLP challenges. The work focuses on real-world ML systems that require both scientific rigor and scalable engineering.
Leads a cluster of four data science teams focused on logistics and fulfillment optimization at Ocado, driving the development and production-scale deployment of machine learning and operations research models. The role involves bridging advanced analytics with engineering to enhance routing, forecasting, and delivery time estimates across automated warehouses and delivery networks. Emphasis is on translating research into operational impact while fostering team development and cross-functional collaboration.
A Senior Data Scientist is needed to solve complex business problems in the retail sector using advanced data modelling and machine learning. The role involves designing algorithms, extracting insights from large datasets, and collaborating with cross-functional teams. Emphasis is placed on clear communication of technical results to non-technical stakeholders and mentoring junior professionals.
Location: UK Wide (Hybrid/On-site as required)Outside IR35 - Rate £50-£80 p/hSecurity Clearance: Must be eligible to obtain and maintain UK Security Clearance (SC)RC Fornax is looking for a Software Engineer – Advanced Signal Processing & AI. This is an exciting...
This role involves analysing large datasets to identify trends and inform marketing strategies, developing predictive models, and translating data insights into actionable recommendations for client campaigns. The Data Scientist will work closely with cross-functional teams and present findings to stakeholders. The position emphasizes continuous learning and the application of modern data science techniques in a consulting environment.
Leads a cluster of four data science teams focused on logistics and fulfillment optimization at Ocado, driving the production-scale deployment of machine learning and operations research models for routing, forecasting, and delivery time estimation. Works closely with engineering and product teams to translate advanced research into real-world impact across the Ocado Smart Platform. Emphasizes MLOps, data storytelling, and strategic leadership in a hybrid working environment.
Design and implement AI-driven solutions to solve complex business problems, integrating machine learning into existing systems and delivering data-driven insights. Work within a 20-person AI team on new product development, leveraging large datasets and advanced algorithms. Focus on deploying scalable models and staying current with emerging AI advancements.
The role involves building and maintaining production-grade code for managing and executing orders across multiple MFT strategies and exchanges. You will collaborate with quant and machine learning researchers to refine data pipelines and execution algorithms, and support various other SE/QD workloads.
The Quantitative Researcher will work closely with the algorithmic and technical teams to develop machine learning models that drive trading performance. Key responsibilities include building ML capabilities, developing trading indicators, and collaborating with senior leaders to shape a strategic approach to machine learning.
This role involves designing and building machine learning models for large-scale recommendation systems that match job seekers with opportunities and recruiters with talent across Amazon. You'll work on fair and explainable AI systems, using techniques like representation learning and reinforcement learning, while collaborating with engineers and scientists. The position emphasizes scientific rigor, scalability, and improving hiring outcomes through data-driven innovation.
This role involves designing and running large-scale reinforcement learning experiments to understand scaling effects across model size, compute, and task horizon. The engineer will build benchmarks for long-horizon RL, debug system-level issues at the research-infrastructure boundary, and translate validated findings into production training recipes. Work is highly collaborative, sitting at the intersection of empirical research and large-scale systems engineering.
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.
