Future Tech Jobs
Future Tech Jobs
Design and deploy scalable AI and HPC GPU infrastructure in large-scale datacentres, focusing on power, cooling, and MEP integration. Collaborate with cloud partners to solve technical challenges in datacentre design and support real-world deployment of NVIDIA technologies. Provide expert guidance on infrastructure optimisation and contribute to product strategy through customer feedback.
Lead the research strategy for applying AI to cybersecurity, focusing on generative AI, large language models, and deep learning. Develop production-ready AI systems at scale, mentor research teams, and drive innovation in reasoning, summarisation, and interactivity. Contribute to technical standards and represent the company through publications and thought leadership.
Lead the development and deployment of generative AI systems at scale within a cybersecurity context, focusing on LLMs and deep learning to enhance threat detection and response. Drive research strategy, mentor technical teams, and translate cutting-edge AI into production-grade solutions operating at planetary scale. Contribute to technical standards and represent the company through publications and thought leadership.
Design and develop core data storage, streaming, caching, and indexing platforms to support large-scale AI and LLM applications. Work closely with cross-functional teams to build reliable, scalable systems that underpin AI data engines used by major enterprises and government agencies. Focus on distributed systems, cloud infrastructure, and data platform reliability in a high-impact AI environment.
This role involves conducting manual quality audits on data workflows produced by Data Associates, validating automated quality systems, and identifying root causes of issues. The auditor will coach local teams, document findings, and collaborate with managers to refine quality processes. It plays a key part in ensuring high-quality data for AI training within a structured global network.
Lead a team focused on delivering high-quality labelled data for Alexa's speech and language machine learning systems. Manage daily operations, workflow prioritization, and team development within a global data services environment. Drive process improvements using lean methodologies while ensuring quality, productivity, and cross-team alignment.
Design and experiment with novel Transformer and GNN architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. Work across the full ML lifecycle—from architecture design to inference acceleration—on real-world applications like fraud detection, forecasting, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.
This role involves leading Databricks' go-to-market strategy for the Energy industry across EMEA, engaging with executive stakeholders in oil and gas, power, renewables, and mining sectors. The individual will shape strategic AI adoption, drive pipeline growth, and position Databricks as a leader in data and AI for energy transformation through cross-functional collaboration and thought leadership.
Act as a trusted technical advisor for Databricks' largest customers, designing and promoting adoption of the Lakehouse platform to solve complex data challenges. Lead customer engagements, develop solution strategies, and deliver workshops while collaborating with cross-functional teams. Contribute to technical thought leadership and help shape customer success through innovation in data intelligence and AI.
This role involves building production-grade AI solutions and intelligent workflows for financial services, working with LLMs, RAG pipelines, and scalable backend services. You will collaborate with engineering, architecture, and business teams to deploy and govern AI systems in a regulated environment.
This role involves designing and implementing scalable AI architectures for financial services, focusing on moving beyond proof-of-concept to production-grade deployments. Responsibilities include building AI/ML platforms, working with LLMs, RAG, and semantic search, and collaborating with cross-functional teams to ensure secure and efficient AI deployment.
Head of GrowthLondon - hybrid, 3 days in officeUp to £110,000 + up to 20% BonusThis is a rare opportunity to take ownership of a high-impact growth function within a well-established consumer business undergoing significant digital transformation. As Head of...
Lead the identification and delivery of AI-driven initiatives within a commercial business area, working closely with senior stakeholders and technical teams. Drive discovery, prioritisation, and adoption of AI solutions while ensuring alignment with governance and responsible AI principles. Play a key role in shaping enterprise-wide AI strategy and realising measurable business impact through innovation.
This role involves embedding directly with retail, brand, and agency partners to identify real customer problems and rapidly build production-ready software using real data and workflows. You'll develop core platform components such as APIs, microservices, and data pipelines across hybrid environments, ensuring end-to-end ownership from deployment to monitoring. The position emphasizes fast prototyping, field-driven product iteration, and translating real-world insights into scalable product solutions using AI-assisted tooling and cloud technologies.
Design and govern the end-to-end technical architecture for dunnhumby’s cross-retailer commerce media platform, DNA, integrating data, identity, and advertising systems across retailers, publishers, and Kevel. Lead solutioning for partner onboarding, define scalable integration patterns, and bridge product and engineering with commercial stakeholders. Focus on clean rooms, privacy-preserving data collaboration, and real-world delivery of customer-facing technical designs.
