Future Tech Jobs
Future Tech Jobs
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work with a team of researchers to prototype solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
As an Applied AI Researcher, you will develop and adapt deep learning methods for world reconstruction, novel view synthesis, and neural rendering. You will work closely with a team of researchers and developers to turn cutting-edge research into robust technology, focusing on improving the realism and controllability of generated scenes.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and designing scalable data pipelines. You will also travel to customer sites to collaborate on-site and ensure the practical application of AI models.
As a Data Scientist in Delivery, you will work closely with Simulation Engineers, Machine Learning Engineers, and customers to solve complex engineering and physics challenges. Your responsibilities include pre-processing and analyzing data, developing deep learning models, and building scalable data pipelines. You will also travel to customer sites to collaborate on-site and ensure the practical application of AI models.
Amazon’s Middle Mile Science group is looking for a Senior Applied Scientist to build machine learning and optimization models to support pricing and revenue management of its external freight business. This includes the development of novel forecasting and dynamic pricing...
This role involves designing and deploying a proprietary Skills Matching Index using algorithmic and NLP techniques to align employee skills with job vacancies and strategic workforce needs. The data scientist will build recommendation and optimization models that factor in skills, geography, and operational costs to improve talent deployment. Emphasis is placed on statistical rigor, bias mitigation, and transparent communication of model logic to leadership.
The Red Team at the AI Security Institute conducts cutting-edge research to identify and mitigate vulnerabilities in advanced AI systems. The team collaborates closely with leading AI companies, UK officials, and allied governments to inform deployment, research, and policy decisions, focusing on misalignment, misuse, and control of AI systems.
The Sub Team Lead for the Control Red Team will drive the research agenda and manage a team of research scientists focused on developing and stress-testing AI control measures. This role involves collaborating with leading AI companies, government officials, and international partners to ensure robust and reliable AI systems.
This role involves developing and running simulations for optical space-to-ground laser communication links, using meteorological data and network performance models to forecast availability and optimise system performance. The engineer will analyse large datasets, improve simulation efficiency, and support network architecture decisions including site selection. Work includes algorithm development, empirical data analysis, and creating technical reports to guide product and service improvements.
This role involves developing and implementing computational workflows for integrating and analysing multi-omics data, designing statistical models, and collaborating with ML modellers and experimental teams to drive transformative insights in drug discovery. The position is embedded within the Single Cell and Spatial Omics team, offering a unique opportunity to work on cutting-edge projects with a focus on patient impact.
This role involves designing and scaling backend services for CrowdStrike's Detection Engine platform, which processes internet-scale data streams to enable real-time threat detection across the Falcon ecosystem. The engineer will work on distributed systems using Go or C++, build resilient cloud-native architectures on AWS/GCP/Azure, and contribute to a platform that unifies detection logic across multiple cybersecurity products. Emphasis is placed on performance, scalability, and leveraging AI to enhance security operations.
This role involves building and maintaining highly scalable, fault-tolerant cloud ecosystems using Golang and Python. You will work on backend microservices, leverage existing CrowdStrike tools, and collaborate with multiple teams to detect targeted attacks and improve system architecture.
This role involves designing and maintaining data architectures, pipelines, and governance frameworks to support responsible AI adoption at scale within Barclays. The engineer will translate regulatory and risk requirements into technical implementations, working closely with data scientists and engineering teams to ensure secure, auditable AI systems. Emphasis is placed on policy-as-code, MLOps, and enterprise-wide governance integration across hybrid cloud environments.
This role involves developing and applying computational methods to model DNA sequences, regulatory elements, and genetic variations in disease-relevant contexts. You will work closely with experimental and machine learning researchers to validate hypotheses and support target prioritisation, contributing to groundbreaking drug discovery efforts.
As an Applied Scientist in the Alexa International Tech team, you will develop cutting-edge generative AI and speech synthesis technologies to enhance Alexa's natural and culturally relevant communication across multiple languages. Your work will involve designing and conducting experiments, prototyping new approaches, and collaborating with engineering teams to deploy these models at scale.
