Future Tech Jobs
Future Tech Jobs
This role involves developing end-to-end product features for Synthesia’s Avatars and Generative Media domain. You will design and deliver features that combine frontend, backend, and AI model capabilities, working closely with product and design teams to translate user problems into reliable and intuitive solutions.
This role involves working on the core systems that power Synthesia’s script preview and voice generation, ensuring high-quality voiceovers across multiple languages and providers. You will build and operate backend services, design robust systems, and collaborate with frontend and R&D teams to enhance user experience and support future innovation.
This role involves working closely with customers to design and implement modern data and AI architectures on the Databricks Data Intelligence Platform. As a technical advisor, the Solutions Architect will lead solution design, deliver workshops, and build trusted relationships to drive platform adoption. The position emphasizes hands-on technical engagement, from proof-of-concept validation to crafting reference architectures that scale best practices.
(FEQ427R38)At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim...
This role involves working on the Faculty Frontier platform, a cutting-edge AI product that unifies decision intelligence with AI agents. You will tackle complex technical challenges, collaborate with cross-functional teams, and lead the technical delivery of customer-facing projects while mentoring junior engineers.
As a Senior Manager in the National Security and Safety team, you will lead the delivery of complex AI and data science projects for critical government partners. You will build influential networks, solve safety challenges, and mentor multidisciplinary teams to ensure long-term value in a fast-evolving national security landscape.
Design and implement production-grade Agentic AI, Generative AI, and Retrieval-Augmented Generation (RAG) systems that power intelligent customer-facing products. Develop autonomous agents capable of reasoning, planning, and executing complex workflows using advanced LLM techniques. Collaborate with platform and engineering teams to deploy scalable AI solutions on Microsoft Azure and help define best practices in AI architecture and deployment.
This role involves building and deploying production AI applications using LLMs, designing agentic workflows, and developing scalable backend APIs and cloud-native services. You'll work closely with engineering, product, and business teams to improve automation, decision-making, and user experience in a fast-paced, AI-driven environment.
This role involves designing and building agentic AI workflows that integrate into an existing product platform, allowing design changes to propagate intelligently across tools and documentation. You will work closely with product, design, and engineering teams to embed AI capabilities and make architectural decisions around cloud infrastructure and cost optimization.
This role involves designing, developing, and implementing AI-powered applications to modernize financial operations and improve customer experiences. You will work across the full software development lifecycle, integrating AI models, and collaborating with product, engineering, and business teams to deliver scalable solutions.
This role involves developing and deploying machine learning models to support credit risk management and business optimisation, using Python, SQL, and AWS SageMaker. The Decision Scientist will work with large structured and unstructured datasets to generate predictive insights, monitor model performance, and collaborate with cross-functional teams to drive data-informed strategy. The position is embedded in a high-growth fintech environment focused on innovation in consumer finance.
Product Owner (Data & AI) / AI Product Manager - London (Hybrid)Generative AI - Data & Analytics - Power BI - Agile - Digital Transformation - Up to £90,000We're partnering with a highly respected global organisation investing heavily in its...
This role involves building and deploying production-grade machine learning systems for diverse clients, translating research into real-world applications. The engineer will collaborate with cross-functional teams to design scalable ML infrastructure, operationalise models, and define best practices for deploying AI at scale. Work spans technical delivery, client advisory, and setting organisational standards in responsible AI deployment.
The Global Head of Data will lead the development and execution of a global data strategy, building scalable data capabilities and driving a data-driven culture. Key responsibilities include defining data roadmaps, creating modern cloud-based platforms, and ensuring data governance and security across international business functions.
This role involves building and maintaining high-performance model serving infrastructure for AI models in various environments, from air-gapped government networks to edge nodes. You will work across the full stack, from inference engines and GPU scheduling to deployment pipelines and observability, ensuring fast and reliable model rollouts and addressing complex issues in constrained environments.
