Future Tech Jobs
Future Tech Jobs
Research and develop GPU-accelerated techniques for AI and HPC workloads, focusing on optimizing deep learning and machine learning algorithms across modern CPU and GPU architectures. Collaborate with experts in industry and academia, publish optimization insights, and influence next-generation hardware and software design. Work closely with NVIDIA’s engineering teams to eliminate performance bottlenecks and advance real-time AI computing platforms.
This role involves researching and developing GPU-accelerated techniques for AI and HPC workloads, focusing on optimizing deep learning, machine learning, and parallel algorithms across modern CPU and GPU architectures. You will collaborate with experts in industry and academia, publish findings, and influence next-generation hardware and software design. The position emphasizes low-level performance optimization and contributions to the broader developer community through technical engagement and thought leadership.
This role involves conducting application security reviews, penetration testing, and developing security tools to protect AWS services and customer environments. The engineer will also create security guidance, deliver metrics, and support internal teams through training and outreach. Work includes proactive research, automation, and responding to emerging threats in a collaborative, large-scale environment.
This role involves guiding public sector organizations new to the cloud through their AWS adoption journey, with a focus on technical discovery, architecture design, and strategic engagement. The Solutions Architect works closely with account teams to break into new government and international accounts, delivering proof-of-concepts, migration roadmaps, and compliance-aligned cloud strategies. Fluency in German is essential to support customers across Germany, the UK, and international bodies navigating complex procurement and regulatory environments.
This role involves designing and implementing production-grade machine learning and AI workloads on the Databricks platform, with a strong focus on generative AI, MLOps, and large-scale data systems. The individual will lead technical engagements with enterprise customers, build proof-of-concept solutions, and influence product development through customer feedback. They will also contribute to technical thought leadership via training, conferences, and internal mentorship.
This role involves developing and enhancing backend microservices for a globally distributed, scalable cloud platform that identifies exposed internet-facing assets. The engineer will work on fault-tolerant systems using technologies like Golang, Python, AWS, and Kafka, with a strong focus on code quality, testing, and collaboration. The position offers autonomy in a high-trust environment and includes opportunities to mentor others and influence system architecture.
This role involves leading the design and implementation of AI-driven risk decisioning systems, focusing on fraud detection, credit risk, and financial crime prevention. The Principal Engineer will translate regulatory and risk requirements into scalable, cloud-native technical solutions using multi-agent AI, real-time decision engines, and event-driven architectures. They will mentor engineering teams, drive innovation in highly regulated environments, and collaborate with stakeholders across product, compliance, and data to deliver resilient, enterprise-grade platforms.
This role involves designing and optimising scalable AI systems for large-scale training, post-training, and low-latency inference on a vertically integrated GenAI cloud platform. The engineer will tackle hard systems problems at the intersection of performance, efficiency, and developer experience, working across distributed systems, model optimisation techniques, and developer tooling. Collaboration with research, infrastructure, and product teams is key to shaping platform components based on real-world AI demands.
Collaborate with product owners and technical teams to drive product development aligned with the bank's technology roadmap. Translate strategic vision into actionable backlogs, ensure secure and feasible feature delivery, and monitor product performance for continuous improvement. Engage with stakeholders across the organization to prioritize requirements and adopt emerging technologies.
This role involves designing and maintaining data pipelines, integrating business systems, and developing data models using Azure Data Factory, Databricks, and Power BI. You will work closely with stakeholders to translate business requirements into scalable data solutions, ensuring data quality and documentation.
Develop and scale cloud-based threat detection systems that process billions of events daily using distributed data architectures and advanced correlation engines. Collaborate with security researchers to convert threat intelligence into automated, real-time detection capabilities across multi-cloud environments. Work extensively with Go, Kafka, Kubernetes, and cloud platforms to build resilient, low-latency security analytics infrastructure.
This role involves modernising and maintaining on-premises Wintel infrastructure while transitioning towards a serverless, cloud-first strategy. The engineer will lead technical improvements, support end-user escalations, and drive automation and cybersecurity initiatives across the IT estate. They will also guide technology selection and play a key role in redefining IT service delivery.
This role involves leading the commercial structuring and execution of Snowflake's largest international customer deals across EMEA and APAC. The person will define deal economics, navigate regional pricing and regulatory constraints, and collaborate with sales, legal, and finance teams to close high-value, complex agreements. They will also coach field teams, engage directly with senior stakeholders, and shape repeatable commercial strategies using AI-native workflows.
