Future Tech Jobs
Future Tech Jobs
As a Solutions Architect, you will collaborate with NVIDIA Cloud Partners to implement innovative GPU and AI solutions, working closely with customers throughout the lifecycle of large-scale GPU infrastructure projects. You will also support sales efforts, conduct technical meetings, and develop joint solutions to address customer needs.
As a Solutions Architect, you will collaborate with NVIDIA Cloud Partners to implement innovative hardware and software solutions, support customers in building large-scale GPU cloud infrastructure, and drive end-to-end technology integration. You will work closely with sales teams to identify business opportunities and provide technical guidance throughout the customer lifecycle.
This role involves designing and programming safety-related PLC control systems for Ocado's Peripheral & Mobile Robotics department. You will ensure compliance with international safety standards, create safety functions, and support global commissioning of complex automated machinery.
This role involves leading global procurement for complex electro-mechanical systems within Ocado's technology operations. The Category Lead will design international sourcing strategies, manage key supplier relationships, and ensure supply chain resilience across quality, cost, and delivery metrics. The position requires close collaboration with engineering, manufacturing, and logistics teams to align capacity with demand while driving continuous improvement in a scaling global environment.
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What...
Thought Machine's mission is bold – to properly and permanently rid the world's banks of legacy technology. To achieve this, we have developed the foundations of modern banking through core and payments technology which run natively in the cloud. What...
As a Machine Learning Integration Engineer, you will work on deploying and optimizing machine learning models to enhance Darktrace’s cybersecurity services. You will collaborate with a cross-functional team to develop innovative solutions, optimize existing models, and contribute to rapid prototyping and project-based development.
This role involves ensuring the reliability and resilience of Darktrace’s cloud-native cybersecurity platform by focusing on a specialized domain such as observability, performance engineering, or network reliability. The Site Reliability Engineer will design automation, lead incident response, and drive best practices across engineering teams, working closely with Platform Engineering and DevSecOps. The position emphasizes deep technical problem-solving, cross-team collaboration, and long-term system improvements at scale.
This role involves designing and implementing data architecture using Snowflake, AWS, and AI/ML technologies. Responsibilities include defining data modeling standards, securing data pipelines, and optimizing Snowflake performance. The position also focuses on cross-cloud orchestration, data governance, and preparing the data infrastructure for AI applications.
This role involves designing, building, and maintaining robust cloud platforms and CI/CD pipelines on GCP. You will collaborate with cross-functional teams to deliver scalable, reliable solutions, provide technical leadership, and stay current with emerging technologies.
This role involves developing and deploying machine learning and AI models to support risk management, compliance, and contractor analytics. You'll work closely with engineering and product teams, using modern cloud technologies like AWS, Azure, and Microsoft Fabric to build scalable solutions.
The role involves designing and implementing end-to-end AI/ML solutions, building scalable generative AI and agentic AI solutions, and translating business requirements into cloud-native AI architectures. The successful candidate will collaborate with stakeholders to deliver robust, scalable, and responsible AI solutions across major cloud platforms like Azure, AWS, and GCP.
This role involves leading a team of elite engineers who embed with Fortune 500 customers to develop and deploy production-ready AI systems. Responsibilities include owning end-to-end delivery, technical oversight, team growth, and translating customer needs into technical roadmaps.
This role involves designing and developing enterprise-grade applications using .NET, .NET Core, and Python, while working on modern data platforms and cloud infrastructure. You'll collaborate with multidisciplinary teams to deliver high-quality solutions for leading insurance clients, focusing on scalability, security, and performance.
This role involves designing, building, and scaling production-grade AI systems and data platforms. You will work closely with Data Scientists and cross-functional teams to productionise machine learning models, develop high-performance AI services, and maintain scalable backend systems in cloud-native environments.
