Find your next tech and IT Job or contract AI

About the Company Our client is a fast-growing, profitable AI startup founded in 2023. With a team of approximately 50 employees, they've built a category-defining platform that helps investment and advisory professionals turn conversations into actionable intelligence through AI, voice technology, and advanced knowledge management. The business has achieved significant commercial traction, exceeding $20M ARR while remaining self-funded and profitable. Trusted by leading consulting firms, investment organizations, and financial institutions, the platform is helping transform how critical business decisions are made. The Opportunity This is not a traditional stakeholder management Product Manager role. We're looking for a builder. Someone who has personally taken products from idea to launch, thrives in ambiguity, talks directly to customers, and moves quickly from insight to execution. You'll join a small but high-impact Product organization and help shape the future of AI-powered workflows across voice intelligence, knowledge management, automation, and emerging agentic technologies. What You'll Be Working On AI-powered voice agents and conversational AI products Native desktop and mobile experiences Advanced transcription and machine learning capabilities Workflow automation for complex research and diligence processes AI-driven knowledge management and intelligence platforms Compliance-focused solutions for highly regulated industries What You'll Do Own products and features from discovery through launch and iteration Conduct customer interviews and user research firsthand Translate customer insights into product strategy and roadmap decisions Partner closely with Design on user experiences and prototypes Work side-by-side with Engineering to bring products to market Define success metrics and measure product impact Iterate rapidly based on user feedback and data What We're Looking For ✅ Proven experience building and launching products from 0-to-1 ✅ Strong track record of shipping products quickly and iterating based on customer feedback ✅ Experience working directly with users to identify problems and validate solutions ✅ Hands-on collaboration with Engineering and Design throughout the product lifecycle ✅ Strong analytical mindset with clear ownership of metrics and outcomes ✅ Excellent communication skills and structured problem-solving ability ✅ Comfortable operating in a fast-paced startup environment with high ownership Nice to Have Experience with AI, machine learning, LLMs, or developer tools Background in SaaS, workflow automation, or productivity products Exposure to financial services, consulting, compliance, or enterprise software Why Join? Join an established AI business at an early stage of growth Over $20M ARR, profitable, and fully bootstrapped Work alongside a high-caliber team with backgrounds from leading technology companies Significant ownership and influence on company strategy and product direction Opportunity to build AI products that impact mission-critical decision-making for some of the world's most sophisticated organizations Help define the next generation of AI-powered workflows and enterprise software If you're a product builder who loves talking to customers, shipping quickly, and solving complex problems with AI, we'd love to connect.

Dans le cadre d'une mission transverse, vous interviendrez auprès d'équipes DataScience pour industrialiser et fiabiliser la mise en production de leurs modèles. À ce titre, vous serez notamment amené(e) à : - Concevoir techniquement et industrialiser les processus de déploiement des modèles de datascience en appliquant les bonnes pratiques CI/CD - Automatiser les tests fonctionnels - Optimiser le code Python - Assurer le débogage et l'assistance auprès des équipes DataScience - Assurer la maintenance applicative (migration Python, MCO) - Former et accompagner les data scientists aux bonnes pratiques de développement (Clean Code, SOLID, Refactoring…) - Concevoir et animer des formations auprès des Data Scientists - Exploiter l'IA générative (Claude) pour assister la conception et le développement (génération et revue de code, tests, documentation) et en diffuser les bonnes pratiques auprès des équipes DataScience

Nous recherchons un Directeur IA Agentique pour un grand groupe du CAC 40. Mission freelance hybride de 3 mois renouvelables sur Paris Ouest. Le rôle : Définir et piloter la stratégie IA & Agentic AI à l'échelle Définir les bases de la gouvernance, l'Operating Model et les standards autour de l'Agentic AI Identifier un premier cas d'usage à fort ROI et piloter leur déploiement avec les équipes métiers et les partenaires Évangéliser les équipes, embarquer les parties prenantes et porter les investissements auprès du CODIR

Nous recherchons un(e) Expert(e) Senior en Sécurité Cyber & IA pour accompagner la sécurisation, la conformité et le cadrage stratégique des projets IA/ML. Missions * Réaliser des Threat Modeling dédiés aux environnements IA/ML : Prompt Injection, évasion, empoisonnement, etc. * Définir et évaluer des patterns d'architectures sécurisées. * Sécuriser les architectures agentiques et évaluer les solutions IA. * Intégrer la démarche Security by Design dans les projets métiers et infrastructures. * Traduire les exigences réglementaires, notamment AI Act, en contrôles techniques. * Participer à la gestion des risques liés aux solutions et fournisseurs Third-Party AI. * Contribuer à la roadmap stratégique Cyber & IA. * Rédiger les standards, politiques et référentiels de sécurité IA. * Accompagner les équipes projets et les parties prenantes sur les enjeux Cyber & IA. * Vulgariser les sujets techniques auprès du top management. Environnement Cybersecurity | AI Security | IA/ML | Threat Modeling | MLOps | LLMOps | AI Act | IAM | API Security | GRC | Security by Design | Architecture Sécurité IA

.NET Software Developer Hull (3 Days Office, 2 Days Home) £35,000 - £40,000 + Progression + Annual Bonus + Flexible Benefits Are you a Software Developer who has built strong commercial foundations in .NET and is ready for more responsibility and ownership, but still wants experienced engineers around them to learn from as they continue developing their career? This is an opportunity to join a growing software business where you'll become an important part of a small engineering team building SaaS products used by organisations across the public sector. Rather than being one developer in a large development function, you'll have exposure across the full software development lifecycle and genuine input into the software being built. Working closely with two experienced Senior Engineers, you'll be able to contribute from day one whilst continuing to develop your technical skills. The team is looking for someone with strong fundamentals who wants to keep learning, take on more responsibility and become a long-term part of the business. The company takes a pragmatic approach to modern software engineering and actively encourages the sensible use of AI-assisted development tools. You do not need experience with specific AI platforms; an interest in how they can improve development workflows, alongside the ability to validate and challenge their output, is what matters most. This role would suit a developer who has built strong foundations in .NET development and is now looking for an environment that offers ownership, visibility, collaboration and plenty of opportunity for continued growth. The Role: *Develop and enhance SaaS applications using .NET and modern front-end technologies *Work across the full software development lifecycle *Collaborate closely with experienced Senior Engineers *Have genuine input within a small, collaborative engineering team *Hybrid working, 3 days per week in the Hull office The Person: *Commercial software development experience with .NET *Experience with a modern front-end framework such as React, Angular or Vue *Ready for more responsibility whilst continuing to learn from experienced engineers *Positive and practical attitude towards AI-assisted development *Able to commute to Hull three days per week on a long-term basis Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.

📋 RÉSUMÉ Nous recherchons un Ingénieur Sécurité / Cyber spécialisé dans les environnements d'intelligence artificielle afin de renforcer la sécurité des infrastructures, plateformes et pipelines liés aux projets IA. Vous interviendrez sur la conception, la mise en œuvre et l'amélioration continue des mécanismes de cybersécurité dans un environnement technique exigeant et innovant. 🎯 MISSIONS Concevoir et mettre en œuvre des architectures de sécurité pour les environnements IA et data Analyser les risques liés aux infrastructures, aux modèles IA et aux flux de données Mettre en place des contrôles de sécurité sur les plateformes de calcul, clusters et pipelines ML Participer à la définition et à l'application des politiques de sécurité et des standards cyber Réaliser des audits de sécurité et identifier les vulnérabilités Mettre en œuvre des mécanismes de protection des données sensibles et des modèles IA Collaborer avec les équipes infrastructure, data et développement pour sécuriser les environnements Participer à la gestion des incidents de sécurité et à l'amélioration continue des dispositifs cyber 📦 LIVRABLES Architecture de sécurité des environnements IA Rapports d'audit et analyses de vulnérabilités Plans de remédiation et recommandations de sécurité Documentation des procédures et standards de sécurité Tableaux de bord et indicateurs de sécurité

Software Engineer (Frontend) - Digital Factory Grade: Supervising Partner Department: Digital Factory Job Introduction: The Software Engineer (Frontend) is responsible for the design and delivery of modern, high-quality web user interfaces for enterprise-grade digital products within the Digital Factory. Playing a key role in an API-centric delivery environment, this position collaborates closely with the Product, UX, Backend, Architecture, and Delivery teams to build scalable, secure, accessible, and maintainable frontend solutions for regulated enterprise contexts. At a Supervising Partner level, this role drives complex frontend deliveries, sets technical direction, and builds frontend engineering capabilities across initiatives. Key Responsibilities Lead technical delivery through complex frontend workflows, making design decisions and resolving cross-team dependencies, accessibility risks, and escalations. Mentor engineers, enforce frontend standards, and drive improvements in architecture, design system reuse, accessibility, security, performance, testing, and technical debt management. Frontend Application Development Design, implement, and maintain modern web applications using JavaScript, TypeScript, and contemporary frontend frameworks or libraries. Develop component-oriented user interfaces aligned with UX/UI designs, design systems, and accessibility standards, including WCAG guidelines. Implement client-side routing, state management, and modular application frameworks with a focus on clarity, scalability, and maintainability. Framework & Quality Engineering Apply frontend engineering principles that are transferable across frameworks such as Angular, React, Vue, or equivalent technologies. Write clean, well-structured, readable, maintainable, and testable JavaScript and TypeScript code. Demonstrate awareness of the responsible use of AI and proficiency in leveraging AI tools, including effective solicitation techniques and token-efficient solicitation design. Performance, Accessibility & User Experience Apply frontend performance best practices, including lazy loading, efficient rendering, asset optimization, and performance diagnostics. Ensure consistent behavior across browsers, devices, and screen sizes. Diagnose and resolve frontend performance, usability, and accessibility issues using standard tools. Security, Operations & Continuous Improvement Implement secure frontend development practices to protect against common web vulnerabilities. Demonstrate risk awareness of third-party dependencies, license management, dependency updates, and vulnerability management. Keep up with the company's security, privacy, and compliance requirements. What success in this role will look like Demonstrate successful leadership in complex frontend delivery, improved engineering capability, and consistent adoption of architecture, accessibility, and quality standards. Success in this role is measured by the ability to consistently deliver high-quality results through technical execution, collaboration, technical quality, operational reliability, and business delivery expectations, including: Delivering modern, accessible, maintainable, and scalable frontend solutions. Solid JavaScript and TypeScript implementation quality with clean, testable, and reusable code. Effective use of web standards, accessibility practices, API-driven collaboration, and frontend architecture patterns. Improved frontend performance, usability, reliability, and consistency across devices and browsers. Qualifications & Experience Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology or a related field. Solid professional experience with modern frontend development using JavaScript and TypeScript. Good understanding of web fundamentals, including HTML, CSS, browser behavior, accessibility, responsive design, and investigation of tool performance (e.g., Chrome dev tools). Experience with at least one modern frontend framework or library, such as Angular, React, Vue, or equivalent technologies. Experience consuming REST APIs in an API-driven or contract-driven environment. Familiarity with frontend testing strategies, CI/CD pipelines, code reviews, and shared development standards. Work effectively in a team, contributing to collective success while remaining open to feedback and coaching from more experienced colleagues. Knowledge of frontend security fundamentals, dependency management, privacy, and enterprise compliance expectations. 7+ years of experience are required. Preferred Experience Experience with templates and state management libraries. Knowledge of design systems, enterprise UI platforms, and accessibility-focused delivery. Experience in enterprise digital delivery or in regulated environments. Team collaboration skills. Knowledge of the use of AI, solicitation skills, how to use AI tools - effective solicitations in tokens.

Nous recherchons pour l'un de nos clients un(e) Ingénieur IA – Google Cloud Platform (H/F). Pour le département IT Operations & Finance, nous recherchons un profil disposant d'une forte expertise en ingénierie IA afin de concevoir des agents IA, mettre en place des échanges agent à agent, et les intégrer dans un environnement Google Cloud Platform. L'objectif est de passer d'une preuve de concept à des solutions fiables, sécurisées et industrialisées, grâce à une approche mêlant développement Python, API, orchestration d'agents, observabilité et CI/CD. Missions principales Concevoir et développer des agents IA pour certains cas d'usage métiers. Développer des API et services Python asynchrones avec FastAPI. Conteneuriser les applications et les déployer sur Cloud Run. Mettre en place des serveurs MCP pour exposer de manière sécurisée des outils et données internes aux agents. Développer des workflows d'agents à l'aide du framework Concevoir des mécanismes de communication agent à agent basés sur des événements et/ou du RPC. Définir les schémas de messages, le routage, les mécanismes de retry et la gestion d'état. Intégrer les solutions avec Vertex AI ou un équivalent pour les appels modèles, les filtres de sécurité et les évaluations. Mettre en place l'observabilité : logs, traces, métriques, monitoring. Définir des guardrails de sécurité : DLP, gestion des secrets, IAM. Documenter l'architecture, les procédures d'exploitation et assurer la passation à l'équipe. Accompagner l'équipe métier dans l'adoption de cas d'usage liés à l'IA générative.