Future Tech Jobs
Future Tech Jobs
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
NVIDIA is looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence...
This role involves deploying and maintaining Thought Machine's cutting-edge banking software, developing automation tools, and integrating with third-party infrastructure. The position focuses on building scalable, reliable systems and improving observability and disaster recovery processes.
This role involves deploying and maintaining cutting-edge banking software, developing automation tools, and ensuring high availability and scalability of services. The Senior Software Engineer will work on observability, orchestration, and disaster recovery tooling, contributing to a robust and reliable infrastructure.
Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The...
Darktrace is a global leader in AI for cybersecurity that keeps organizations ahead of the changing threat landscape every day. Founded in 2013, Darktrace provides the essential cybersecurity platform protecting nearly 10,000 organizations from unknown threats using its proprietary AI.The...
This role involves building and maintaining ultra-high-scale data platforms that process petabytes of data from CrowdStrike's Falcon platform. You'll work on fault-tolerant Java microservices within Apache Spark, design scalable data pipelines, and enable efficient querying for threat analytics and machine learning. The team focuses on low-latency data access, distributed systems optimization, and leveraging AWS and Kubernetes for resilient, large-scale data infrastructure.
This role involves designing, building, and maintaining scalable multi-cloud infrastructure to support large-scale malware analysis and threat intelligence operations. The engineer will work across Kubernetes, IaC, and monitoring systems while ensuring high availability, security, and performance of critical data processing pipelines. The position emphasizes autonomy, proactive problem-solving, and collaboration within a globally distributed team.
This role involves designing and maintaining the ML platform infrastructure that supports model training, evaluation, and production serving at scale. The engineer will build reliable, automated systems for GPU workloads, improve observability and developer experience, and develop internal tooling to reduce operational overhead for researchers and engineers. A key focus is enabling agent-oriented workflows and making complex ML systems more efficient and scalable.
This role involves working closely with enterprise clients in manufacturing, defence, and automotive sectors to design and demonstrate data and AI solutions using the Databricks Lakehouse Platform. The individual will lead technical pre-sales engagements, develop reference architectures, and deliver proof-of-concepts, while acting as a trusted advisor on data strategy and Generative AI implementation. They will also contribute to building technical communities through workshops and knowledge sharing.
You will develop and operate a high-performance inference platform to serve cutting-edge AI models for drug discovery. The role involves optimizing large-scale model serving systems, solving scalability challenges, and collaborating closely with research and applied ML teams to ensure reliable, high-throughput infrastructure in a cloud-native Kubernetes environment.
As a Data Curator at Isomorphic Labs, you will work closely with AI experts and drug discovery scientists to integrate and curate large-scale biomedical and biochemical datasets. Your role involves enhancing data quality, creating ML-ready datasets, and collaborating across teams to build high-quality data assets that fuel the company's mission to accelerate drug discovery using AI.
What we’re all about.Our DATA values—Determination, Ambition, Teamwork, Accountability—aren’t just operating principles, they’re our competitive advantage. We bring context to every decision with a category-defining Decision Intelligence platform, and our partner ecosystem is the multiplier. As VP, Partner Engineering, you...
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...
Why Faculty?We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about...
