Future Tech Jobs
Future Tech Jobs
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and scaling workloads across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
You will architect and optimize high-performance AI inference systems, focusing on GPU kernel optimization, benchmarking, and large-scale deployment across multi-cloud environments. Collaboration with cross-functional teams and conducting original research to advance the field of ML systems are key aspects of this role.
The AI Enablement Specialist at Man Group will work across various business units to identify and implement AI solutions that drive efficiency and value. Responsibilities include educating stakeholders, prototyping AI tools, and transforming business processes to leverage AI capabilities.
Lead the creation of a new AI research and engineering function within a global investment firm, developing advanced machine learning and agentic systems to enhance investment decision-making. Translate frontier AI research into practical tools for portfolio managers and quantitative researchers, with a focus on generating measurable alpha. Build and lead a high-performance team while establishing scalable AI infrastructure and governance frameworks.
The role involves analysing resident survey responses and engagement data using AI tools to identify key themes and insights. You will produce clear summaries, briefing materials, and support stakeholder discussions as part of a test-and-learn initiative to embed community insight into decision-making. The work is project-based, requiring critical evaluation of AI-generated outputs and close collaboration with the project team.
Develop and deploy deep learning models to enhance underwriting systems, leveraging multi-modal and sequential data. Collaborate with tech and product teams to integrate Large Language Models into customer-facing products. Work across structured and unstructured datasets to deliver data-driven solutions that improve lending decisions and customer experiences.
Develop and deploy deep learning models to enhance underwriting systems and support LLM-powered product development. Work with multi-modal data and collaborate across tech and product teams to deliver data-driven solutions that improve customer and associate experiences.
This role involves designing, building, and scaling production-grade AI systems and data platforms. You will work closely with Data Scientists and cross-functional teams to productionise machine learning models, develop high-performance AI services, and maintain scalable backend systems in cloud-native environments.
Design and implement enterprise AI solutions using Microsoft Copilot, Snowflake Cortex AI, and Salesforce Agentforce. Establish AI architecture standards, governance, and reusable components to drive secure, scalable adoption across business functions. Collaborate with senior stakeholders to translate strategic AI initiatives into production-ready systems.
This role involves building a full-stack AI-driven product from the ground up as the first engineering hire in a startup environment. You'll work closely with founders to extract and systematize expert knowledge, integrate LLMs into the core development lifecycle, and iterate directly with early customers. The position spans frontend, backend, and AI agent development, emphasizing problem-solving over specific technologies.
This role involves leading the review and modernisation of customer-facing software systems, defining future technology architecture, and guiding technical transformation initiatives. You'll work closely with the CTO to rebuild and consolidate applications, improve integrations, and introduce new technologies including AI where they deliver business value. The focus is on strategic technical leadership with hands-on involvement in architecture and development decisions.
This role involves designing and delivering enterprise-scale AI solutions across Generative AI, Agentic AI, and Intelligent Automation for major global clients. The AI Architect will lead technical workshops, define AI strategy, and ensure secure, scalable integration with existing cloud and data environments. Emphasis is placed on responsible AI, governance, and collaboration with data scientists and cloud architects to build production-ready systems.
This role involves developing and scaling digital legal tools and AI-enabled solutions to improve legal processes and service delivery. You'll work closely with lawyers to translate business needs into technical implementations, refine prototypes, and ensure systems are compliant, maintainable, and efficient. The role emphasizes low-code platforms, AI integration, and prompt engineering within a supportive, technologically advanced legal tech environment.
The role involves developing and scaling digital legal tools using low-code platforms and AI technologies. You'll work closely with lawyers to translate business needs into technical solutions, improve legal processes, and ensure compliance with data and security standards. The focus is on building maintainable, AI-enhanced systems that support efficient legal service delivery.
Lead the development and delivery of AI transformation programmes for enterprise clients, combining strategic advisory, business development, and technical leadership. Guide multidisciplinary teams in implementing AI solutions including generative AI, LLMs, and MLOps, while shaping practice growth and client outcomes within a hybrid working model.
