Future Tech Jobs
Future Tech Jobs
Develop automated tools for large-scale data analysis, vulnerability research, and exploit development. Investigate 0-day and n-day vulnerabilities by analyzing patches, malware, and system logs. Collaborate across teams to support threat intelligence and publish findings in blogs or conferences.
Conducts advanced vulnerability research and exploit development, analyzing patches and malicious artifacts to identify 0-day and n-day vulnerabilities. Develops automated tools for large-scale data analysis and collaborates across teams to publish findings and support threat intelligence efforts. Focuses on reverse engineering, proof-of-concept creation, and rapid response to emerging threats.
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
DIGITAL MARKETING TRAINEESHIP (REMOTE)Become a Digital Marketing Professional and Build Real-World ExperienceAre you interested in digital marketing, online business, and helping organisations grow through effective marketing strategies? Do you want to gain practical experience while developing skills that employers are...
Lead and coach a team of enterprise account executives focused on the Energy & Utilities and Telco sectors, driving sales growth and consumption of Databricks' data and AI platform. Develop territory and revenue strategies, collaborate with cross-functional teams, and build strategic customer relationships. The role emphasizes value-based selling, technical sales methodology, and scaling a high-performing team within a fast-growing tech environment.
This role involves working directly with enterprise customers to design and implement end-to-end data and AI solutions on the Databricks platform. The engineer leads architectural decisions, builds production-grade systems, and integrates data pipelines with ML/AI models and applications. Emphasis is placed on customer collaboration, reusable solutioning, and influencing product development through real-world feedback.
This role involves leading the architecture and development of a cloud-native AI platform, with a focus on building production-grade AI and LLM-powered applications. The engineer will drive technical standards, mentor a multidisciplinary team, and shape platform scalability and engineering culture. It's a hands-on leadership position in a greenfield environment using modern technologies like LangChain and Google Cloud Platform.
Lead the development and scaling of Agentic AI capabilities within a global organisation undergoing digital transformation. Define AI strategy, identify high-impact use cases, and work with senior stakeholders to drive adoption across functions. Build and lead a high-performing AI team while establishing best practices and promoting AI literacy company-wide.
AI LeadEnterprise AI Transformation | AI Strategy | AI RoadmapCo-Pilot | Chat GPT | ClaudeSalary: £100,000 + Private healthcare + other benefitsLocation: Hybrid, 1 x a week in London.The roleThis role will see you joining a large, growing, multidisciplinary consultancy...
An AI Engineer will design, build, and ship full-stack applications using TypeScript and AWS, with a focus on rapid prototyping and AI-assisted development. The role involves creating AI and generative AI features, deploying cloud-native solutions, and collaborating across product, design, and data teams. The engineer will own features end-to-end in an Agile environment, balancing production code with fast iteration on new concepts.
Process and label multimodal data including text, speech, image, and video to improve AI systems like Alexa. Perform detailed annotation tasks, identify quality issues, and contribute to workflow improvements in a structured office environment. Work involves high attention to detail, confidentiality, and adherence to operational KPIs.
Lead the development and governance of enterprise-wide data, AI, and automation capabilities within a global FTSE100 organisation. Drive strategic initiatives including centralised AI solutions, data trust, and platform standardisation, while managing a distributed team and mentoring technical talent. Focus on scalable, secure systems using Azure-based architectures and modern AI frameworks.
Design and manage enterprise AI platforms, intelligent agents, and automation workflows across cloud and on-premise environments. Develop scalable AI architectures, integrate with business systems, and ensure compliance with security and governance standards. Support organisational AI adoption through technical leadership and cross-functional collaboration.
This role involves building and maintaining a secure, high-performance sandboxing platform for AI agent workflows, focusing on strong isolation, low-latency execution, and developer experience. The engineer will design APIs, optimise resource utilisation, debug production issues, and collaborate with internal teams to shape the platform’s evolution across containerised and virtualised environments. It requires deep systems expertise in Linux internals, virtualisation, and developer-facing tooling.
Design and manage enterprise AI platforms, intelligent agents, and automation workflows across cloud and on-prem environments. Develop scalable AI architectures, RAG applications, and multi-agent systems while ensuring security, compliance, and integration with business systems. Collaborate with stakeholders to drive AI adoption and translate technical capabilities into business value.
