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 solutions, improve scene realism, and build robust technology for autonomous systems and intelligent machines.
As a Technical Product Manager for Wayve's L4 autonomous driving solutions, you will lead the development and deployment of cutting-edge AV features, working closely with cross-functional teams to ensure safety, reliability, and market-readiness. Your role involves defining the product roadmap, aligning with customer needs and regulatory requirements, and championing user-centric innovation in embodied AI and end-to-end learning.
JOB ID:FEQ227R179Location:London, UKAt 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....
At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software....
At Fractile, we’re taking a revolutionary approach to computing to run the world’s largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software....
Job Title: Machine OperatorLocation:SkiptonSalary: £13.44 to £15.95 per hour inclusive of shift premium depending on experienceJob Type: Full Time, PermanentShift Pattern: Weekly rotating shift pattern:6am to 2pm Monday to Friday2pm to 11pm Monday to Thursday2pm to 6pm on a FridayWhilst...
A Research Scientist in Machine Learning will develop novel AI models and algorithms to accelerate drug discovery, working in an interdisciplinary team of scientists and engineers. The role involves designing deep learning architectures, training models on biological and chemical data, and collaborating across disciplines to solve complex problems in computational biology and chemistry.
This role involves designing and building a modern, secure data platform from the ground up using Azure Databricks and Delta Lake, establishing robust ELT pipelines, and maturing Power BI architecture to enable self-service analytics. The engineer will embed DataSecOps and CI/CD practices, implement governance and security controls, and mentor junior team members. Working within a not-for-profit housing association, the role directly supports community-focused service improvements through data.
The Data Engineer will build and optimize an Azure-based data platform, develop high-performing data pipelines, and support the adoption of Microsoft Fabric. You will work closely with BI Analysts and other teams to ensure reliable, high-quality data, implement CI/CD practices, and provide technical guidance on data engineering best practices.
This role focuses on building and maintaining automation infrastructure to enhance the testing and development lifecycle for Cohere's North platform. The engineer will design robust CI/CD systems, intelligent testing agents, and scalable test environments using containerization and infrastructure-as-code. The work ensures engineering teams can ship with confidence through improved test coverage, performance benchmarking, and regression detection across diverse configurations.
This role involves leading the development and deployment of advanced AI solutions, particularly in computer vision and large language models. You will guide the team in building production-ready ML pipelines on Azure, ensuring scalability and alignment with business goals.
Design and deploy production-grade machine learning systems for clients across energy, utilities, and environmental sectors. Work hands-on to operationalise models, build scalable ML infrastructure, and translate complex AI concepts for stakeholders. Collaborate with cross-functional teams to deliver real-world impact through responsible AI.
Lead the technical direction of large-scale AI/ML systems in high-risk, government-facing environments, designing production-grade architectures and guiding multi-disciplinary teams. Focus on scalable model deployment, CI/CD pipelines, and operationalising AI in cloud-native environments using Kubernetes and modern MLOps practices. Provide architectural leadership and mentorship while driving innovation in responsible, human-centric AI solutions.
This role involves creating client-facing web applications that visualize AI-driven insights, working closely with data scientists and engineers in cross-functional teams. The engineer will build interactive data visualizations using React, TypeScript, and modern web technologies, while also shaping frontend standards and mentoring others. The position emphasizes technical excellence, reusable component development, and deployment on cloud platforms, particularly within government and public sector projects.
As a Member of Technical Staff on the Multilingual team, you will lead the design and implementation of scalable solutions to improve multilingual language model performance. You'll contribute to cutting-edge research, publish findings, and mentor junior team members, making a global impact in natural language processing.
