Top Tech Jobs & Startup Jobs

Leads engineering delivery across fast-cycle client engagements, from scoping through execution, quality assurance, and outcome measurement. Partners with senior clients to translate technical complexity into commercial terms, guides architecture and quality decisions, and coaches distributed engineers across projects. The role requires strong consulting, full-stack or AI engineering credibility, stakeholder communication, adaptability, and end-to-end delivery ownership.

Leads end-to-end AI transformation engagements, including solution analysis, design, implementation, project management, and client delivery. Partners with C-suite stakeholders to translate business goals into practical AI solutions, manages cross-functional teams, shapes project methodologies, identifies account expansion opportunities, and mentors junior colleagues. The role requires strong AI/ML business fluency, strategic thinking, communication, and consulting experience in digital transformation or AI advisory.

Leads AI advisory and digital transformation engagements for major enterprises. Partners with executives to define AI visions, develop adoption roadmaps, build business cases, track benefits, and guide large-scale implementation. Coordinates data science, engineering, product, and business teams while translating business goals into technical requirements and measurable outcomes.

Develops AI-led go-to-market strategies and client-ready propositions for retail and consumer businesses. Frames complex commercial challenges, creates decision-ready recommendations, aligns UK and global strategy teams, and supports high-profile client opportunities, including RFPs and redesign processes. The role requires structured problem solving, commercial understanding of AI and analytics value, and strong communication for senior audiences.

Leads revenue-generating consulting engagements from executive relationship development and opportunity origination through transformation delivery. Builds business cases, ROI models, and transformation roadmaps; negotiates with senior stakeholders; and owns client outcomes, quality, and profitability. Leads hybrid teams of strategists, data scientists, and delivery professionals while expanding existing client portfolios. Requires extensive consulting leadership, competitive sales, AI and data transformation experience, executive presence, and commercial accountability.

Design and deliver end-to-end data science solutions for complex client and business problems. Apply machine learning, statistical modeling, and AI to develop scalable analytical products, translate business needs into analytical frameworks, and guide deployment. Partner with clients and stakeholders, communicate insights, uphold technical and governance standards, mentor junior team members, and support business development through solution scoping, proposals, and presentations.

Own US demand generation, events, localized campaigns, and commercial marketing initiatives for Quantium across the CPG and retail sectors. The role supports business development, builds prospect pipelines, executes industry activations, adapts global campaigns for US audiences, and establishes Quantium’s brand presence as the company’s first dedicated US marketer.

Lead data science and AI delivery for healthcare clients, managing analytical projects, mentoring technical teams, engaging stakeholders, and translating complex insights into business recommendations. Apply Python, SQL, cloud platforms, large-scale data processing, and generative AI to solve healthcare data challenges and drive measurable business outcomes.

Design and deliver production-grade GenAI and LLM applications end-to-end: architecture, cloud deployment, containerisation, APIs, data pipelines, evaluation and observability. Collaborate with clients and domain experts, mentor junior team members, conduct code reviews, and support technical scoping and proposals.

Own enterprise business development and sales for Quantium’s scam, fraud, and identity API across banks and financial services organizations. Build target-account pipelines, create demand, manage complex multi-stakeholder sales cycles, negotiate contracts, and close deals. Develop executive relationships across fraud, risk, financial crime, product, and technology teams while shaping market positioning, monitoring regulatory and competitive trends, maintaining forecasts, and collaborating with product, marketing, pre-sales, and customer success teams.