Top Tech Jobs & Startup Jobs

Build and lead Faculty’s internal communications function during global growth. Own communication channels, cadences, company-wide forums, leadership messaging, cultural translation, and storytelling. Partner with senior leaders and regional teams to ensure strategy and AI-focused vision reach employees clearly and consistently. Identify and elevate important business stories, preserve culture at scale, and improve communication architecture while supporting international expansion and organisational change.

Lead high-impact AI projects, define data science approaches, design software architectures, mentor data scientists, shape client engagements, assess technical feasibility, and ensure rigorous delivery. The role requires advanced Python and machine learning expertise, leadership, commercial awareness, client-facing communication, and the ability to develop innovative algorithms across supervised learning, unsupervised learning, NLP, and validation.

Build and scale resilient frontend web applications that present machine-learning insights, collaborate with cross-functional teams, develop reusable design systems and component libraries, maintain CI/CD and deployment workflows, champion frontend engineering standards, and mentor engineers. The role involves modern React and JavaScript or TypeScript development, data visualization, frontend architecture, cloud environments, and software delivery for government and other high-stakes clients.

Lead high-impact data science and AI projects for government and public-sector clients. Define data science approaches, design robust software architectures, lead project teams, mentor data scientists, assess technical feasibility, support client relationships, and ensure rigorous delivery. The role also involves thought leadership through courses, public speaking, or open-source contributions.

Lead enterprise sales of large-scale strategic AI engagements across Fortune 500 and FTSE 100 organizations. Build C-suite relationships, manage complex multi-quarter sales cycles, develop qualified pipelines, collaborate with Accenture and other strategic partners, shape technical and commercial solutions, negotiate sophisticated agreements, and achieve revenue targets through disciplined forecasting and cross-functional deal orchestration.

Lead complex, high-value bids across public and private sectors from kickoff through final presentation. Manage bid/no-bid decisions, resource planning, persuasive proposal development, stakeholder and client engagement, tender monitoring, framework management, and process improvement. Translate technical and commercial information into compelling customer value propositions, mentor junior bid professionals, and support revenue growth through strategic commercial execution.

Lead original AI safety research and develop rigorous evaluations measuring risks in frontier models, especially in CBRN and cybersecurity. Responsibilities include designing benchmarks, red-teaming, adversarial testing, uncertainty quantification, statistical analysis, publishing research, shaping the R&D agenda, and advising client delivery teams, frontier labs, government agencies, and national security stakeholders.

Lead high-impact AI projects for life sciences clients, defining data science approaches, designing software architectures, mentoring data scientists, and ensuring rigorous delivery. Build client relationships, assess technical feasibility, shape project scope, contribute to thought leadership, and develop innovative algorithms using Python, NumPy, Pandas, and PyTorch across core data science paradigms including NLP, supervised learning, unsupervised learning, and validation.

Lead complex data science and machine learning projects from technical scoping through production delivery. Set technical direction, architect reliable solutions, define roadmaps, manage technical risk, and oversee multidisciplinary workstreams. Lead client engagements, support commercial opportunities, establish technical best practices, and mentor data scientists and managers. The role also requires influencing engineering, infrastructure, commercial, and business-unit initiatives while delivering practical outcomes under commercial pressure.

Lead the design, development, and deployment of scalable, production-grade machine learning systems. Define ML deployment standards, make architectural decisions, collaborate with technical and commercial teams, advise clients, and mentor engineers. The role requires expertise across the ML lifecycle, software engineering, cloud infrastructure, containerization, orchestration, and responsible AI delivery.