Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job/workload schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
As a Solution Architect in Financial Services, you will act as a trusted advisor to financial institutions, guiding them in leveraging NVIDIA's advanced AI technologies. Your role involves working on proof-of-concept demonstrations, driving relationships with key technical leads, and collaborating with internal teams to develop comprehensive solutions. You will also contribute to the wider community through knowledge sharing and hands-on training.
Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.As AI continues to shape...
The Engineering Manager role involves leading complex AI-powered video and avatar rendering projects, breaking down ambiguous initiatives into structured plans, and driving technical excellence across backend systems, frontend rendering, and AI integrations. The role focuses on scaling the team, improving system reliability, and aligning with long-term product strategy.
This role involves leading Wayve's policy and regulatory engagement across the UK and Europe, building relationships with government departments and regulatory agencies, and shaping the regulatory landscape for autonomous driving technology. The Head of UK & EU Policy will define and execute public affairs strategies, advocate for regulatory frameworks, and represent Wayve in key policy discussions and industry events.
As a HIL System Engineer, you will lead the design, deployment, and continuous improvement of scalable and modular HIL benches for end-to-end system integration and validation in autonomous vehicles. You will work closely with cross-functional teams to ensure HIL systems are reliable, cost-efficient, and ready for fast-paced releases.
As a Lead Data Scientist, you will design, develop, and deploy advanced AI systems, particularly focusing on Generative AI and Large Language Models (LLMs). You will work with complex datasets, emerging technologies, and collaborate with engineering and technical leadership to create scalable, production-ready solutions in a highly secure environment.
This role involves developing advanced AI and machine learning models to support data-driven decision-making within a high-impact, early-stage project. The Data Scientist will focus on large-scale simulation and forecasting, applying these techniques to innovative systems. Work is mostly remote with occasional travel to Nottingham, offering flexibility within a 12-month contract.
As a Senior AI Engineer, you will design, build, and deploy AI-driven solutions that automate processes and reduce manual effort. You'll collaborate with development, QA, and IT teams to deliver impactful solutions, identify opportunities for AI application, and champion responsible AI practices.
As a Machine Learning Engineer, you will design and build autonomous AI agents using LLMs and advanced reasoning frameworks. You will specialize in RAG pipelines, fine-tune models, and ensure robust and trustworthy AI systems in the insurance and fintech domain.
This role involves designing and deploying production-grade AI systems using Generative AI, including Retrieval-Augmented Generation (RAG), agentic workflows, and LLM-powered applications. The candidate will own the full AI lifecycle, from solution design to deployment and optimisation, working closely with engineering and product teams in a cloud-native environment. The role focuses on building scalable microservices and APIs, with strong emphasis on MLOps and modern AI architecture.
This role involves building and maintaining automated tests across UI, API, and integration layers for complex, data-rich healthcare applications. The QA Test Analyst will use modern frameworks like Playwright or Cypress, integrate testing into CI/CD pipelines, and leverage AI tools to enhance test efficiency and defect analysis. Collaboration with Product, Engineering, and Support teams ensures quality is embedded throughout the software lifecycle in a technology-driven healthcare environment.
We believe in better. And we make it happen.Better content. Better products. And better careers.Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky...
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,...
The Data Scientist will work on developing and deploying a digital twin platform for complex industrial processes, focusing on advanced separation and chemical engineering. Key responsibilities include data engineering, analytics, and the development of predictive and physics-informed models to optimize real-world performance. The role involves close collaboration with software engineers and cross-functional teams to translate engineering requirements into actionable insights.
