Technology Hiring and Workforce Solutions in Switzerland

Music Publishing Partnerships Manager – Contract Position – HIRING ASAPLocation: Hybrid working in London office Start Date: ASAP Duration: 12-month contract Daily Rate: £550 - £630 per day PAYE (Negotiable)SummaryThis is a unique opportunity to work at the intersection of music publishing and technology, overseeing partner management and engagement with music publishers, collection societies and hubs based in Europe, Middle East & Africa (EMEA). ResponsibilitiesManage publishing partnerships across Europe, the Middle East and Africa (EMEA) ensuring effective communication, product understanding and delivery of contractual requirements.Support internal data-driven analysis and decision making on publishing-specific strategy / issuesPartner closely with operations teams to ensure timely and accurate data exchange between music publishing partners and the clientTriage and resolve partner issues, coordinating internal teams and systems to drive solutionsBe a source of insights about the music publishing ecosystem and partnersSupport execution of marketing programmes that ladder up to company goals and support music publisher and songwriter prioritiesExecute in an intense, fast-paced, and highly iterative environmentTop 3 Skills NeededSignificant music publishing industry expertise (distinct from music labels)Digital music licensing expertise/understanding (e.g., Meta, TikTok, YouTube, Spotify, Amazon)Understanding of publishing rights and data exchange in digital marketsAbility to engage and work with senior-level stakeholders (director level)Key Skills10 years of relevant experienceExtensive experience in music publishing / collective management organisation partner management and/or engagementDigital music experience including understanding of digital business models, music publishing rights and music rights dataExperience developing effective working relationships with broad set of stakeholdersExperience leading data-driven analysisTop 3 Bonus SkillsDigital platform experience (e.g., YouTube, TikTok, Spotify, Amazon, Apple)Music publisher experience (e.g., Sony Music Publishing, Universal Music Publishing Group, Warner Chappell, PRS for Music, SACEM)Numeracy and comfort interpreting data

Senior Business Analyst - API, Data & Analytics Location: Dublin, Ireland (Hybrid) Contract: 12-month contract, with a view to extend Rate: Up to €400 per day We’re looking for an experienced Business Analyst with a strong understanding of API-driven applications, data capture and analytics to join a leading financial services environment in Dublin. This role would suit someone who can bridge the gap between business and technology, translating business needs into clear product requirements while understanding how data, applications and integrations work together across complex enterprise environments. Duties:  Gather, analyse and translate business requirements into clear product and system requirements. Work with API-driven backend applications and system integrations. Analyse and map end-to-end data and application flows, including upstream and downstream systems, integrations and dependencies. Analyse business processes and translate requirements across interconnected systems. Work closely with technical and business stakeholders to understand how data is captured, processed and used. Support analytical tagging and data capture strategies. Document requirements, processes, system flows and dependencies. Help identify opportunities to improve data quality, processes and data-driven solutions. Requirements:  Solid experience as a Business Analyst. Strong understanding of API-based solutions and system integrations. Experience with analytics tagging frameworks and data capture strategies. Ability to translate business use cases into clear, actionable product requirements. Strong understanding of end-to-end system architecture, including upstream and downstream integrations and dependencies. Experience mapping business requirements across interconnected systems and platforms. Strong understanding of data and application flows within enterprise environments. Excellent stakeholder management and communication skills. Financial services experience is preferred.

AI Project LeadLocation: Berlin, OnsiteTravel: ~50% client-site in DACH regionExperience: 3+ yearsDuration: Initial 6 Months with a view to go permanent Rate: €385 - €455 per day The RoleWe're looking for an (Senior) AI Project Lead to lead high-impact AI projects from initial concept through to implementation. You'll work closely with clients, technical teams and senior stakeholders to turn business challenges into practical AI solutions, while driving projects forward in a fast-paced and often ambiguous environment.Key ResponsibilitiesLead AI projects from inception through to successful delivery and integrationAct as the primary point of contact for clients and stakeholdersDrive collaboration across technical and business teamsIdentify opportunities to deliver measurable value through AIFacilitate workshops, training and enablement sessionsTranslate complex AI and technical concepts into clear business outcomesManage project scope, priorities and deliveryBuild strong relationships with stakeholders at all levelsContribute to the development of AI strategies and new initiativesAbout You4+ years' experience successfully managing projects from start to finishBackground in consulting, technology or a related field, ideally within a major consultancyExperience working on AI and Machine Learning projectsStrong analytical and problem-solving skillsExperienced in running workshops and stakeholder sessionsExcellent communication and relationship-building skillsComfortable working with numbers, technology and business stakeholdersHighly adaptable and comfortable with ambiguityResults-driven with a collaborative mindsetC1+ German and EnglishComfortable travelling to client sites around 50% of the time

Forward Deployed AI EngineerLocation: Berlin, OnsiteTravel: ~50% client-site in DACH regionExperience: 3+ yearsDuration: Initial 6 Months with a view to go permanent Rate: €385 - €455 per day The RoleWe're looking for a Forward Deployed AI Engineer who can turn ambiguous business challenges into working AI solutions — moving quickly from ideas and prototypes to production.You'll work directly with clients while remaining hands-on technically, combining strong engineering skills with a modern, agent-first approach to development.Key ResponsibilitiesOrchestrate AI agents to build and deliver solutions at speedTake AI projects from PoC through to production-ready MVPBuild data pipelines and ML workflowsTrain, deploy and monitor ML modelsDevelop and deploy cloud-based web services, ideally on AzureIntegrate solutions with client systemsTranslate business challenges into practical technical solutionsWork closely with clients and internal engineering squadsAbout You3+ years' experience building scalable, production-grade softwareStrong Python and SQL skillsHands-on production ML experience with PyTorch, TensorFlow or scikit-learnExperience with cloud platforms, preferably AzureExperience with secure web applications and PostgreSQLComfortable working with AI agents, Claude Code and AI evalsStrong client-facing and communication skillsComfortable operating in ambiguous, fast-paced environmentsC1+ German for client communication

Content Project Manager – Contract Position – HIRING ASAP Location: Dublin, Ireland – 2/3 days per week in office Start Date: ASAP Duration: 6-month contract with extension Daily Rate: €320 - €360 per day PAYE Summary We’re looking for a Publications & Content Manager who can be accountable for high-quality execution and management of therapeutic area aligned publication plans and content programs. Compelling and compliant scientific content, strategized in partnership with Portfolio Scientific Communications has the potential to enable industry-leading launch excellence and change the course of clinical adoption. This role will embrace a mindset of accountability and strive to exceed expectations amongst enterprise stakeholders for compelling scientific content and publication programs by actively identifying and managing/ mitigating risks to successful outcomes. Requirements2+ years of pharmaceutical industry or medical communications agency experience or post-university experience desirableAdvanced project management skillsStrong financial and business acumenExperience in Medical Affairs/Medical Services leadership delivery roles or providing services to large pharmaceutical organization desirableExperience of working in an international environment.Exemplary interpersonal and listening skillsAbility to work with demanding professionalsStrong attention to detailTeam playerFlexible with difficult timelinesAdvanced understanding of business processesTrack record of operational effectiveness or operational innovation.ResponsibilitiesThe remit of responsibilities centers on globally applicable content elements aligned to the Scientific Communications Platform (SCP), which must be delivered in adherence with internal and external guidelines as well as regulatory compliance (e.g., Global Publication Practice). This role plays an active role in managing and coordinating cross-functional and enterprise stakeholders to heighten the certainty of timely and high-quality deliverables.Critical to success will be exceptional project management expertise and an ability to influence outcomes within a highly matrixed environment. This role will be accountable for taking advantage of innovative approaches and digital technologies for efficient and compliant content development. Successful execution will be measured by faultless, on-time delivery and continuous, innovative improvement and rapid adoption of new technologies and practices (e.g., AI-enabled).Accountable for high-quality scientific communication plan management and right-first-time execution of therapeutic area aligned publication plans and content programs throughout the portfolio asset lifecycleOperate as project management point of contact for assigned content programs and publication plansCollaborate with enterprise stakeholders, internal peers, and cross-functional teams to understand needs, manage and deliver publications and content development plansPartner with AD/Director Scientific Communications, Scientific Writers, and agency partners to track the delivery of tactics in line with publication and content development plansActively identify improvement opportunities, drive operational excellence, track progress, outcomes and best practices for continuous improvement of deliveryAdopt proven, innovative solutions at scale to drive efficiency and improvement to end-state deliverables in line with organization and customer needsProactive/forward planning of activities aligned to deliverables to ensure timely execution; drive project plans, timelines, and budgets to ensure successful project executionUtilizing appropriate tools, track progress, manage risks, and ensure business needs are metPreparation of project and meeting materials, ensuring accurate documentation/tool update (e.g., DataVision, TOV) and follow-up on action itemsActively identify and manage/mitigate risks related to project expectations on quality and timelines to achieve successful outcomesResponsible for adherence to associated compliance related activities and approvalsConvey credibility and maintain positive, professional image both internally and externallyEnsure quality and compliance with all relevant internal SOPs/guidelines and external regulatory requirements. Build quality systems, training and tracking to ensure all regulatory and internal requirements are fully met and adhered to.Partner with AD Publication Excellence to support with compliance and metrics reporting activities at an enterprise level (e.g., Transfers of Value), as neededProvide operational support for publication management tools (e.g., iEnvision), managing user queries, regular GFR updates, and enabling effective publication planning and tracking across countries, as neededRole model exceptional company values and behaviors, embracing high-challenge conversations, to drive change (ethics, change agent, collaboration, humility)

Triage Specialist II – Business Support Engineer IILocation: London, Hybrid 2-3 Days p/wContract: Initial 6 MonthsRate: Up to £300 per day PAYEWe are looking for a Triage Specialist II / Business Support Engineer to investigate and resolve complex, high-impact technical issues across Ads, Commerce and Creator products. You’ll act as a technical point of contact for high-value clients and internal stakeholders while driving improvements to products and processes.Key ResponsibilitiesLead end-to-end investigation and resolution of complex customer issues.Perform advanced data analysis, log interpretation and systems-level debugging.Troubleshoot advertising technologies including Graph API, Ads Manager, Conversions API, SDK and Pixel.Manage high-severity escalations and partner with Engineering and Product teams on resolution.Identify recurring issues and recommend preventative or systemic improvements.Provide technical consulting and guidance to clients, partners and sales teams.Translate complex technical concepts into clear, practical solutions for non-technical audiences.Independently manage and prioritise a portfolio of high-value client escalations.Key RequirementsBachelor’s degree in Computer Science, Engineering, Marketing or a related field.2+ years’ experience in digital advertising and/or technology.Experience working across 2+ industries.Experience managing a multi-million-dollar book of business and working directly with senior clients and sales teams.Strong troubleshooting experience across advertising and business technologies.Customer-facing experience explaining technical concepts to non-technical stakeholders.Knowledge of HTML, CSS, JavaScript and HTTP.Experience with SQL and RESTful APIs.Familiarity with using AI tools to improve productivity and quality.Strong analytical, communication and problem-solving skills.

Senior AI/ML Engineer – Contract Position – HIRING ASAPLocation: Onsite in Dublin office Start Date: ASAP Duration: 6-Month Contract Daily Rate: €650 - €850 per day (Negotiable)SummaryWe are looking for a ML Engineer to join our clients’ AI research program. This is a unique, emerging role sitting at the intersection of insurance operations, product thinking, and agentic AI - ideal for someone who understands how insurance workflows actually run and is excited to reimagine them through autonomous AI agents. You'll be part of a small high impact team, working closely with AI Engineers and business stakeholders. You'll own meaningful parts of the data platform end-to-end — from architecture to reliability — with the autonomy to make technical decisions and the expectation to deliver at scale without compromising data quality or governance. Your work directly enables AI model training, business intelligence, and operational reporting: you're the foundation everyone builds on. AI tooling is a first-class part of how we structure the research project: you'll use it to accelerate data engineering work, and you'll be the quality bar on everything that is developed. This role leans toward pricing and modelling depth and is deliberately broader: building agents, RAG pipelines and integrations end to end, and moving fluidly between model work, tooling and delivery as the project needs. It also contributes to making LLM behaviour reliable and measurable, but as a generalist. Based in a Dublin hub, you’ll work within a team which has been established specifically to explore and validate a next‑generation AI‑native insurance operating model. The environment is research‑focused, collaborative, and experimental, with a clear separation from day‑to‑day business operations to allow deep technical investigation, structured analysis, and prototyping. You’ll cooperate closely with experienced professionals, participating in real‑time enterprise innovation research in a regulated insurance setting while contributing meaningfully to a high‑impact feasibility study. ResponsibilitiesDesign, build and ship agents end to end — from prompt/tooling design through RAG pipeline construction to integration with production systems.Build and maintain RAG pipelines and integrations across a range of data sources and services.Design evaluation metrics and evaluation loops for LLM agents, in collaboration with the Senior Data Scientist.Contribute to converting non-deterministic LLM solutions into deterministic, trustworthy ones through structured evaluation and guardrails.Move between model development, tooling/integration work and hands-on delivery as project priorities shift. This role is intentionally less specialised than the Senior Data Scientist.Build and integrate MCP-based tools and services to extend agent capability.Build monitoring/evaluation dashboards in code.Apply reinforcement learning techniques to model development where relevant.Essential Experience7+ years in data science, or 3 years in AI-Software Engineering.2+ years of direct LLM development experience (Anthropic, OpenAI, orCopilot/Azure OpenAI ecosystems).Experience designing evaluation metrics and loops for LLM agents.Experience turning non-deterministic LLM solutions into more deterministic, dependable ones.Key SkillsPythonAgent development and prompt engineering, in any framework or SDK.MCP development and integration.Model metrics and evaluation.Reinforcement learning as applied to model development.Dashboards built in code.Bonus SkillsC# exposure for agents.Regulated sector experience.

Senior AI/ML Engineer – Contract Position – HIRING ASAPLocation: Onsite in Dublin office Start Date: ASAP Duration: 6-Month Contract Daily Rate: €650 - €750 per day (Negotiable)SummaryWe are looking for a ML Engineer to join our clients’ AI research program. This is a unique, emerging role sitting at the intersection of insurance operations, product thinking, and agentic AI - ideal for someone who understands how insurance workflows actually run and is excited to reimagine them through autonomous AI agents. You'll be part of a small high impact team, working closely with AI Engineers and business stakeholders. You'll own meaningful parts of the data platform end-to-end — from architecture to reliability — with the autonomy to make technical decisions and the expectation to deliver at scale without compromising data quality or governance. Your work directly enables AI model training, business intelligence, and operational reporting: you're the foundation everyone builds on. AI tooling is a first-class part of how we structure the research project: you'll use it to accelerate data engineering work, and you'll be the quality bar on everything that is developed. This role leans toward pricing and modelling depth and is deliberately broader: building agents, RAG pipelines and integrations end to end, and moving fluidly between model work, tooling and delivery as the project needs. It also contributes to making LLM behaviour reliable and measurable, but as a generalist. Based in a Dublin hub, you’ll work within a team which has been established specifically to explore and validate a next‑generation AI‑native insurance operating model. The environment is research‑focused, collaborative, and experimental, with a clear separation from day‑to‑day business operations to allow deep technical investigation, structured analysis, and prototyping. You’ll cooperate closely with experienced professionals, participating in real‑time enterprise innovation research in a regulated insurance setting while contributing meaningfully to a high‑impact feasibility study. ResponsibilitiesDesign, build and ship agents end to end — from prompt/tooling design through RAG pipeline construction to integration with production systems.Build and maintain RAG pipelines and integrations across a range of data sources and services.Design evaluation metrics and evaluation loops for LLM agents, in collaboration with the Senior Data Scientist.Contribute to converting non-deterministic LLM solutions into deterministic, trustworthy ones through structured evaluation and guardrails.Move between model development, tooling/integration work and hands-on delivery as project priorities shift. This role is intentionally less specialised than the Senior Data Scientist.Build and integrate MCP-based tools and services to extend agent capability.Build monitoring/evaluation dashboards in code.Apply reinforcement learning techniques to model development where relevant.Essential Experience7+ years in data science, or 3 years in AI-Software Engineering.2+ years of direct LLM development experience (Anthropic, OpenAI, orCopilot/Azure OpenAI ecosystems).Experience designing evaluation metrics and loops for LLM agents.Experience turning non-deterministic LLM solutions into more deterministic, dependable ones.Key SkillsPythonAgent development and prompt engineering, in any framework or SDK.MCP development and integration.Model metrics and evaluation.Reinforcement learning as applied to model development.Dashboards built in code.Bonus SkillsC# exposure for agents.Regulated sector experience.