Future Tech Jobs
Future Tech Jobs
We’re currently seeking a Principal Developer Technology Engineer, Artificial Intelligence. Would you enjoy researching parallel algorithms to accelerate AI workloads on advanced computer architectures? Do you find it rewarding to identify and eliminate system bottlenecks to achieve the best possible...
This role involves collaborating with leading research institutions on high-impact AI and robotics projects, championing NVIDIA's software platforms, and shaping strategic partnerships. The position requires significant research experience, publication records, and expertise in Physical AI and Robotics.
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 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....
Develop and optimize generative machine learning models for protein design, working closely with biologists and engineers to translate model outputs into real-world wet lab experiments. The role emphasizes robust ML development, data pipeline construction, and rapid iteration based on experimental feedback, within an interdisciplinary research environment focused on advancing synthetic biology.
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.
This role involves conducting technical research to assess and mitigate chemical and biological risks posed by frontier AI systems. You'll design evaluations, develop benchmarks, and work on capability elicitation, threat modelling, and safeguards, translating findings for AI developers and government stakeholders. The work is interdisciplinary, combining machine learning, biosecurity, chemistry, and policy to produce actionable insights in a high-impact, mission-driven environment.
As a Research Engineer, you will work at the intersection of research and engineering, developing and deploying ML and computational systems. You will collaborate with interdisciplinary teams to solve complex data and software engineering challenges, improve research workflows, and optimize high-performance compute environments.
The IT Support Technician will provide first-line support for hardware and software issues, manage user accounts and permissions across various platforms, and assist with networking and infrastructure tasks. The role also involves hands-on experience in the Data Centre and wet labs, supporting scientific equipment and HPC clusters.
This role involves researching and developing advanced AI and machine learning techniques applied to RF signal processing, with a focus on signal recognition, identification, localisation, and manipulation. The work is research-driven, requiring algorithm development and prototyping using Python, with opportunities to publish findings and collaborate with stakeholders. Based in central London, the position supports hybrid working and is embedded in a high-tech, security-cleared environment.
This role involves conducting advanced genomic data analysis and interpretation within multidisciplinary teams, focusing on rare and complex diseases. The Genomic Data Scientist will develop and apply state-of-the-art computational methods to whole genome and multi-omics datasets, supporting research goals such as drug target identification, biomarker discovery, and patient stratification. Responsibilities include pipeline development, data harmonisation, custom analyses (e.g., GWAS, meta-analysis), and contributing to scientific publications using Genomics England’s national datasets.
This role involves conducting advanced analysis of cancer genomic datasets, integrating whole genome data with real-world clinical data, and applying machine learning techniques to enhance translational research. The scientist will collaborate with multidisciplinary teams and external partners, contributing to large-scale genomic initiatives within a research-driven healthcare environment. Emphasis is placed on innovation, scientific rigor, and practical application of bioinformatics in oncology.
This role involves applying statistical and data science techniques to media audience measurement projects, primarily for Barb, with additional opportunities across RAJAR, CFlight, and TouchPoints. The Data Scientist will work hands-on with large datasets using R, Python, and PL/SQL, develop methodologies, conduct audits, and communicate insights to technical and non-technical stakeholders. The role offers exposure to data fusion and cross-media analytics within a specialist media measurement environment.
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.
This role involves developing machine learning and optimization models for Amazon's large-scale transportation planning systems, focusing on external freight within the middle mile. Responsibilities include creating dynamic pricing and network planning models, building scalable products, and optimizing the freight marketplace to improve operations and customer experiences.
