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 experimental solutions, improve scene realism, and build evaluation workflows for robust technology development.
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 a Back End Engineer at Thought Machine, you will lead the development of the Vault product, focusing on designing and implementing scalable microservices. You will work closely with other engineering teams to ensure features are added coherently and manage deployments from testing to production.
As a Full Stack Engineer at Thought Machine, you will work on complex engineering problems across the stack, designing and implementing end-to-end features for both backend services and frontend applications. You will collaborate with cross-functional teams to ensure high standards of security, performance, and user experience, while also translating customer requirements into actionable tasks.
As a Data Scientist at Hastings Insurance Services, you will develop and deploy machine learning models to predict claims outcomes, fraud, and other risk KPIs. You will work closely with ML Engineers, monitor model performance, and present findings to stakeholders. The role involves exploring new technologies and contributing to best practices within a collaborative and innovative team.
This role involves designing and leading the evolution of large-scale AI infrastructure for training and inference workloads at a pioneering autonomous vehicle company. The Principal Engineer will architect compute and data systems capable of handling petabytes of sensor data and thousands of GPUs across hybrid and multi-cloud environments. The position emphasizes strategic leadership in building scalable, resilient systems that accelerate AI research and deployment in real-world autonomous driving applications.
As a Computer Vision and Artificial Intelligence Engineer, you will develop and evaluate advanced algorithms for complex weapon systems, focusing on image processing, computer vision, and deep learning. You will work in a dynamic, international team, contributing to cutting-edge technologies and gaining in-depth knowledge of missile subsystems.
Design and build enterprise-scale generative AI platforms, including chatbots, RAG systems, and agentic workflows, integrated into financial data products. Develop production-ready AI infrastructure using Python, LangChain, and cloud technologies on AWS or Azure. Collaborate across engineering and product teams to deploy scalable, full-stack AI solutions that deliver real-time business impact.
Senior Software Engineer, AILocation: London (Hybrid: 2 days in office, 3 days remote)Position Type: PermanentAre you a seasoned software engineer passionate about pushing the boundaries of what's possible with Generative AI?We are a leading global provider of financial information services,...
Senior AI/ML Software Engineer (LLM Focus)Location: Guildford (office based role)Salary and benefits: £on experience + a truly outstanding package that includes an unrivalled holday entitlement.Role OverviewOur client has tasked us to source a talented Senior level AI/ML Software Engineer with...
About RelationRelation is an end-to-end biotech company developing transformational medicines, with technology at our core. Our ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. We leverage single-cell multi-omics directly...
Develop and deploy deep learning models to enhance underwriting systems, leveraging multi-modal and sequential data. Collaborate with tech and product teams to integrate Large Language Models into customer-facing products. Work across structured and unstructured datasets to deliver data-driven solutions that improve lending decisions and customer experiences.
