Future Tech Jobs
Future Tech Jobs
This role involves designing, implementing, and maintaining large-scale HPC and AI clusters, working with the latest GPU and deep learning technologies. You will collaborate with researchers, developers, and customers to optimize system performance and develop new solutions.
This role involves designing, implementing, and maintaining large-scale HPC/AI clusters, managing job schedules, and developing CI/CD pipelines. You will work with the latest GPU and AI technologies, collaborate with researchers and developers, and support R&D activities.
This role involves owning and developing a cloud-based data platform on GCP, building robust ingestion pipelines, and designing high-quality data models. You will work closely with BI and commercial teams to translate business needs into technical solutions, ensuring data reliability and scalability.
This role involves designing, developing, and deploying Camunda-based process and decision automation solutions, integrating Java-based microservices, and collaborating with solution architects and business analysts. You will play a key part in defining technical standards, optimizing performance, and mentoring less-experienced engineers.
This role involves designing and securing AI systems, identifying risks, and embedding security controls. You will work on mission-critical programmes in government, healthcare, defence, and critical infrastructure, ensuring that AI capabilities are delivered securely and responsibly.
This role focuses on driving adoption of Databricks Lakebase, a fully managed Postgres service, by partnering with Account Executives to engage technical and business stakeholders. The specialist will lead sales cycles, run proofs of value, and position Lakebase as a unified solution for operational workloads and AI-native applications. Success involves enabling teams, shaping go-to-market strategies, and accelerating customer migrations from fragmented databases to a modern, serverless data foundation.
This role involves designing and maintaining observability systems, scaling solutions, and incident response processes for CrowdStrike's NG-SIEM platform. You will work on ensuring the reliability and performance of a large-scale, distributed system that processes trillions of events daily, collaborating with cross-functional teams to prevent and resolve issues.
This role involves building and maintaining real-time data streaming infrastructure at petabyte scale using Apache Kafka, Flink, Spark, and Kubernetes. The engineer will design low-latency, high-throughput pipelines to process trillions of security events daily, enabling threat detection and incident response across CrowdStrike’s global platform. Emphasis is placed on scalability, fault tolerance, observability, and empowering internal teams through platform-as-a-service capabilities.
Darktrace is a global leader in AI-driven cybersecurity, helping organizations stay ahead of evolving threats every day.Darktrace was built on a genuinely differentiated idea: that Adaptive AI could detect and respond to novel, real-time cyber threats. That approach matters more...
This role involves securing AI-driven drug discovery systems by designing risk frameworks, protecting machine learning artifacts, and implementing security controls across AI infrastructure. The engineer will lead incident response for AI-specific threats, enforce compliance with global regulations, and develop safety protocols for autonomous agentic workflows and large language models within a high-stakes scientific environment.
The Principal Software Engineer role involves collaborating with product managers and designers to define and implement AI-driven engineering applications. Responsibilities include leading the development of scalable, modular front-end architecture, ensuring service interoperability, and contributing to company-wide software engineering standards.
About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries....
This role involves defining and executing a comprehensive data strategy to support drug discovery at a tech-driven biotech company. The individual will lead data governance, acquisition, and infrastructure initiatives, working across interdisciplinary teams to ensure high-quality, compliant, and FAIR-aligned data assets. The position emphasizes integration of diverse datasets—including omics, imaging, and clinical data—and building a scalable data foundation for machine learning and research.
The Applied AI Engineer will design and maintain data pipelines, warehouses, and lakes while developing scalable AI and machine learning solutions across Barclays. This role involves close collaboration with data scientists, implementing MLOps/LLMOps practices, and ensuring solutions are secure, reliable, and aligned with enterprise governance. The engineer will work on cutting-edge applications including GenAI and LLMs, supporting responsible AI adoption in a fintech environment.
This role involves advancing data management through AI integration and technical leadership, focusing on data governance, cloud infrastructure, and strategic migration. The developer will drive innovation by operationalising AI frameworks, improving data quality, and enabling self-service data access for end-users. Collaboration with enterprise teams and stakeholder engagement are key to aligning data strategy with business goals.
