Future Tech Jobs
Future Tech Jobs
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—enabling applications in forecasting, fraud detection, and recommendation systems. Collaborate with researchers and engineers to push the boundaries of relational reasoning in enterprise AI.
This role involves designing and experimenting with novel Transformer and Graph Neural Network (GNN) architectures to build a unified foundation model that understands relational databases and heterogeneous graphs. The engineer will work across the full ML lifecycle—from architecture design to inference acceleration—enabling applications in fraud detection, forecasting, and recommendation systems. Collaboration with researchers and engineers is central, with a focus on pushing beyond traditional single-table AI models.
Act as a Cloud Support Engineer providing 24/7 technical support for a cloud-native banking platform. Diagnose and triage infrastructure, platform, and application-level issues using observability tools, manage incident resolution, and support clients through product installation, upgrades, and production rollouts. Collaborate with engineering teams to resolve incidents and improve system reliability.
The Client Director will lead senior client relationships and commercial agreements across key Tesco Group businesses, acting as a strategic partner to translate data and insight into actionable growth strategies. The role involves driving revenue performance, developing high-performing teams, and delivering integrated solutions in collaboration with Tesco and supplier partners. Success requires deep expertise in retail, FMCG, and customer data-driven decision-making within the UK market.
This role involves building and owning end-to-end customer-facing analytics products using a modern cloud-native stack. The engineer will shape acceptance criteria with product and design teams, develop scalable backend systems and frontend experiences, and operate services on Kubernetes with a focus on observability, security, and cost efficiency. The position emphasizes ownership of the full deployment lifecycle via GitOps and continuous deployment on a declarative platform.
Design and build high-performance, reliable backend services for a large-scale data and AI platform. Work on distributed systems, cloud storage integration, and reliability improvements as part of a foundational engineering team. Focus on solving complex technical challenges across product and infrastructure layers in a fast-growing environment.
This role involves owning the data infrastructure for AI deployments, integrating AI solutions into business systems, and ensuring reliable and scalable production-grade pipelines. You will work closely with AI strategists to take prototypes to production, manage data models, and troubleshoot integration issues.
This role involves managing key enterprise retail accounts and driving the adoption of AI solutions across customer experience, supply chain, and operations. The Account Director will act as a strategic advisor, working closely with technical teams to design and execute complex deployments while shaping product strategy through market insights. Success requires deep industry expertise, executive engagement, and a long-term vision for AI transformation in the retail sector.
As an AI Deployment Engineer, you will be responsible for building and maintaining the data infrastructure and system integrations that support AI deployments. You will work on data pipelines, API integrations, and production-grade solutions, ensuring reliable and scalable AI operations.
This role involves driving the industrialisation of high-performance AI accelerator PCBAs from prototype to mass production, ensuring manufacturability, yield, and quality. The engineer will work hands-on with Taiwan-based manufacturing partners, lead DFM/DFT reviews, resolve real-time production issues, and build scalable processes for high-layer-count, fine-pitch boards used in advanced AI hardware. Success is measured by smooth NPI transitions, high first-pass yield, and robust design-for-manufacturing practices.
Design and build scalable, fault-tolerant systems for serving large language models (LLMs) in both research and production environments. Develop internal platforms for LLM capability discovery and integration, with a focus on performance, observability, and system health. Collaborate closely with researchers and engineers to optimize model deployment and support cutting-edge AI applications.
This role involves leading end-to-end development of custom AI solutions for enterprise clients, translating business needs into technical product requirements, and working closely with cross-functional teams to deliver generative AI applications. The position emphasizes forward deployment with client teams to build scalable, high-impact systems using the Scale GenAI Platform, with a focus on turning bespoke solutions into repeatable products. Key application areas include content generation, wealth management copilots, and text-to-SQL analytics tools.
Lead enterprise AI transformation by shaping strategy, building AI-ready data foundations, and advising C-suite stakeholders on embedding Generative AI and Agentic AI into core operations. Design human-centred AI solutions and govern responsible AI at scale across customer, employee, and operational experiences. Drive commercial growth through client pitches, thought leadership, and capability development while leading high-performing data and AI teams.
Design and manage Azure cloud infrastructure, leading on architecture, automation, and CI/CD pipelines within a consultancy environment. Drive cloud-native solutions using Infrastructure-as-Code and support AI-driven innovation projects. Mentor junior engineers and ensure compliance, security, and governance across cloud environments.
This role involves designing and implementing AI assurance frameworks to ensure responsible, ethical, and compliant AI adoption across enterprise environments. You'll lead risk assessments, embed governance throughout the AI lifecycle, and collaborate with cross-functional teams to build trustworthy AI systems. The position focuses on high-impact challenges in AI safety, transparency, and regulatory compliance within regulated or high-risk sectors.
