Top Tech Jobs & Startup Jobs in London

Own and advance security across AWS, cloud infrastructure, code, dependencies, secrets, containers, and corporate IT. The role involves maintaining security tooling, conducting security reviews, implementing code and infrastructure fixes, driving remediation, supporting ISO 27001 and SOC 2 compliance, advising on secure AI adoption, and leading security projects independently while influencing engineering teams.

Deliver customer enablement for hyperexponential’s Developer+ programme through workshops, code reviews, drop-in support, and technical guidance. Help customers move from hx-led development to independent delivery, covering architecture, coding practices, testing, deployment, and model lifecycles. Build repeatable delivery processes, convert insights into Academy content, use AI to scale support, and communicate recurring customer feedback to Product.

Build and deploy AI tools and automated workflows for People and Talent operations. Own people reporting and analytics, including retention, attrition, engagement, and hiring dashboards. Maintain accurate HRIS data, support Lattice performance cycles and engagement surveys, analyze workforce insights, and improve onboarding, payroll data integrity, and performance processes. The role requires building user-facing AI solutions, working with real datasets, protecting confidential information, and operating effectively in an ambiguous, fast-growing environment.

Build and run repeatable content operations across customer stories, podcasts, thought leadership, executive communications, web pages, and social content. Responsibilities include mapping workflows, coordinating agencies and internal teams, managing calendars and approvals, drafting and publishing copy, quality assurance, repurposing long-form content, and creating templates and prompts. The role starts with supported execution and is expected to grow into end-to-end ownership of content production cycles.

Deliver technical training to clients and partners, create and maintain courses and video content, support certification assessments, enable external delivery partners, and keep documentation current. The role requires explaining technical SaaS products, APIs, programming concepts, pricing models, and AI tooling to varied audiences while collaborating with Product, Customer, and Partnerships teams.

Own product marketing for Calculation Engines and Portfolio Intelligence, driving adoption, launches, onboarding, technical content, positioning, competitive intelligence, and feedback loops. The role targets technical actuarial and developer audiences, partners closely with Product, Revenue, Solutions Engineering, and AI teams, and translates complex capabilities into credible messaging and enablement.

Designs technical solutions for complex enterprise software opportunities, leading discovery workshops, integration architecture, technical evaluations, RFPs, security reviews, proofs of concept, and customer demonstrations. Partners with Sales and Product Engineering to secure technical wins, test new capabilities, and develop reusable architectures, integration assets, demo environments, and technical presentations for insurance customers.

Staff Product Engineer responsible for setting technical direction across Model Authoring teams, establishing engineering standards, owning shared infrastructure and technical interfaces, and solving complex product problems hands-on. The role requires product focus, architectural leadership in ambiguous environments, cross-team influence, AI-native engineering experience, and mentoring. The engineer will help define trustworthy agentic development practices and build tools supporting actuarial pricing model creation and management.

Own end-to-end delivery of production-grade Python models, from scoping and development through testing, iteration, and customer deployment. Collaborate with actuarial teams and stakeholders to solve complex modeling and coding problems, improve development standards, conduct code reviews, and mentor junior developers. The role applies predictive modeling and advanced analytics in data-heavy environments while requiring ownership of ambiguous problems and direct customer engagement.

Build and maintain Python-based predictive models on the hx modelling platform, collaborate with customer actuarial teams and developers, review and test models, develop best-practice guidance and training materials, and improve model development standards. The role requires production-grade Python, predictive modelling or advanced analytics experience, autonomy, experimentation, and comfort solving ambiguous customer problems.