Future Tech Jobs
Future Tech Jobs
Research and develop techniques to GPU-accelerate AI and HPC workloads, focusing on deep learning, machine learning, and performance optimization across modern CPU and GPU architectures. Collaborate with experts in industry and academia, publish findings, and influence next-generation hardware and software design. Work on low-level system optimizations and contribute to developer education through blogs and conferences.
Research and develop GPU-accelerated techniques for AI and HPC workloads, focusing on deep learning, machine learning, and performance optimization across modern CPU and GPU architectures. Collaborate with experts in industry and academia to analyze and optimize complex algorithms, while contributing insights to influence next-generation hardware and software design. Publish findings through blogs and conferences to support and educate the developer community.
This role involves leading the strategic development and delivery of AI transformation programmes for enterprise clients across BFSI, Energy, Utilities, and Diversified Industries. The AI Practice Lead will define AI strategies, develop market-ready offerings, and provide technical leadership across Generative AI, LLMs, RAG, and enterprise data platforms. They will mentor cross-functional teams, drive innovation, and ensure high-impact outcomes through hands-on architectural guidance and governance of complex AI initiatives.
Design and develop digital solutions using Microsoft Power Platform, including Power Apps and Power Automate, within an agile environment. Collaborate with business stakeholders and IT teams to build low-code applications, with opportunities to work on AI-enhanced features. Focus on creating custom connectors and automating workflows across business functions.
Lead the development and execution of an AI strategy for the Finance function, driving adoption of AI/ML, automation, robotics, and GenAI to improve efficiency and performance. Partner with finance and technology leaders to identify opportunities, design solutions, and ensure ethical, scalable implementation across global operations.
This role involves advancing large language model (LLM) development through research and experimentation, focusing on architecture design, optimization, and scaling. The researcher will work on improving model intelligence and efficiency, contributing to both training infrastructure and inference systems. Based in London with a hybrid work model, the position emphasizes hands-on empirical work and collaboration within a cutting-edge AI research environment.
Lead and mentor a team of AI Deployment Engineers focused on guiding large enterprise customers through the technical implementation and production deployment of Generative AI solutions. Drive platform integration, translate customer needs into product roadmaps, and act as a trusted technical advisor to executive stakeholders. Emphasis is on safe, scalable AI adoption across complex global organisations.
This role involves working closely with AWS customers in the Travel and Hospitality sector to understand their business and technical challenges, then designing tailored cloud solutions using AWS technologies. The Senior Solutions Architect acts as a trusted advisor, leading architecture reviews, workshops, and technical deep dives while advocating for customer needs internally. A key focus is driving innovation through AI, data analytics, and modern cloud architectures, while also creating reference designs and sharing best practices.
This role involves working closely with sales teams and customers to design and demonstrate technical solutions using the Databricks Lakehouse Platform, with a focus on data and AI challenges in manufacturing, defence, and automotive sectors. The individual will lead proof-of-concept projects, deliver technical workshops, and act as a trusted advisor to guide customers through solution architecture and implementation. A strong background in data science, generative AI, and cloud-based data platforms is essential for success in this customer-facing technical role.
This role involves developing machine learning algorithms for radio frequency (RF) signal detection and exploitation in defence and electronic warfare contexts. The researcher will work on real-world AI applications in congested electromagnetic environments, designing novel solutions and publishing high-quality research. The position is based in South East England with hybrid working, requiring weekly office attendance while supporting significant remote work.
Lead and strategically guide a team of 25 medicinal chemists in redefining drug discovery through deep integration with AI. Shape the scientific direction of projects from hit identification to candidate nomination, while fostering collaboration with AI, biology, and pre-clinical teams. Drive innovation by challenging traditional approaches and embedding an AI-first culture across drug design workflows.
This role involves working closely with customers in the Travel and Hospitality sector to understand their business challenges and guide them in adopting AWS cloud solutions. The Solutions Architect leads technical engagements, including architecture reviews, workshops, and solution design, while acting as a trusted advisor. They also contribute to creating reference architectures and advocate for customer needs internally, blending technical expertise with strategic business insight.
This role involves securing AI-driven drug discovery systems by designing risk frameworks, protecting ML model artifacts, and implementing security controls across the AI lifecycle. The engineer will lead incident response for AI-specific threats, safeguard autonomous agentic workflows, and ensure compliance with evolving regulations like the EU AI Act. Close collaboration with ML researchers and platform teams is essential to embed security into high-velocity scientific innovation.
Leads the development and application of data science and mathematical modelling to optimise asset management and investment decisions across a major electricity distribution network. Manages a team focused on risk modelling, regulatory reporting, and capital programme optimisation using advanced analytics. Works closely with stakeholders to drive innovation, improve data reliability, and support strategic decision-making in a regulated environment.
Design and build scalable data pipelines and cloud-native data platforms to support analytics, machine learning, and AI initiatives. Collaborate with data scientists, architects, and product teams to ensure data quality, governance, and self-service access. Work on modernising infrastructure with automation and best practices in a hybrid environment.
