Future Tech Jobs
Future Tech Jobs
You will design, maintain, and scale IT infrastructure, lead advanced troubleshooting, automate workflows, and implement security controls. You'll also mentor junior engineers and research new tools to enhance IT processes and employee experience.
This role involves owning the product release process, from planning to execution, ensuring smooth communication and coordination between Product, Marketing, and GTM teams. Responsibilities include maintaining the product roadmap, defining release readiness processes, and creating scalable systems to enhance launch efficiency and impact.
This role involves end-to-end ownership of high-impact AI projects, acting as the primary liaison between clients and technical teams. The delivery manager ensures timely delivery, maximises value, and identifies new commercial opportunities while fostering strong client relationships. The position emphasizes innovation within regulated industries and contributes to shaping best practices in responsible AI deployment.
This role involves leading and delivering end-to-end AI projects within the insurance sector, particularly property & casualty and specialty lines. The Senior Manager will act as a strategic advisor to clients, manage cross-functional teams, and drive both project success and commercial growth. A key focus is translating complex AI capabilities into tangible business value while mentoring team members and shaping client strategy.
This role involves ensuring the end-to-end quality of Alexa's multilingual experience across 100+ countries. Responsibilities include defining global test strategies, architecting AI-powered evaluation frameworks, and collaborating with various teams to maintain cultural and linguistic relevance.
Are you a MS or PhD student interested in a 2026 internship in the field of machine learning, deep learning, generative AI, large language models and speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal...
This role involves delivering technical customer projects on the Databricks platform, focusing on data engineering, cloud integration, and AI solutions for emerging enterprises and digital-native clients in EMEA. The engineer will design data architectures, implement production use cases, provide technical guidance, and support migration from legacy systems. Collaboration with cross-functional teams and escalation support are key aspects of the role.
This role involves collaborating with various stakeholders to measure and understand AI's economic impact, contributing to the development of the Anthropic Economic Index, and designing research methodologies to study AI's effects on labor markets, productivity, and economic inequality. The position requires strong econometric and machine learning skills, as well as the ability to translate research into actionable policy recommendations.
This role involves owning and extending the Kubernetes scheduler, scaling the control plane, and building core cluster services to support Anthropic's large-scale AI training and research. You will collaborate with various teams to ensure the reliability and performance of the Kubernetes platform.
As a Lead Machine Learning Engineer, you will set the technical direction for complex AI projects, design and maintain scalable ML systems, and lead a team of engineers. You will drive innovation, mentor team members, and act as a technical expert for clients, ensuring successful project delivery and adoption of new technologies.
This role involves leading research in AI-driven healthcare technologies, applying computational physics expertise to develop novel medical device solutions. You will work hands-on with machine learning, cutting-edge sensors, and advanced algorithms in a state-of-the-art R&D environment. The position requires deep scientific problem-solving skills and the ability to act as a subject matter expert in physical sciences within an innovative engineering team.
This role involves designing and governing the Snowflake data platform, including data warehousing, cross-cloud orchestration, and AI readiness. Responsibilities include defining data modelling standards, implementing secure data pipelines, managing Snowflake's security model, and optimizing data costs.
Senior AI / Machine Learning Engineer | London / Hybrid | £90,000–£120,000 + BonusJoin a high-growth, product-led technology company in London that is building next-generation AI-powered tools to transform how professionals interact with complex data and documents.With significant recent investment...
This role involves designing and executing cellular and biochemical assays to support drug discovery, maintaining cell lines, and collaborating with cross-functional teams. The Scientist will work at the intersection of biology and technology, contributing to the development of new technologies and solving complex scientific challenges.
In this role, you will design and execute cellular and biochemical assays to support drug discovery, maintain cell lines, and manage laboratory operations. You will work closely with cross-functional teams to solve complex scientific challenges and contribute to the development of new technologies and workflows.
