Technology Hiring and Workforce Solutions in Switzerland

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.

Trade Marketing ManagerLocation: North West LondonWorking pattern: 4 days in the office, 1 day from home (Friday)Salary: £60,000–£70,000A leading international accessories brand is looking for an experienced Trade Marketing Manager to join its growing marketing team.This is a newly defined role offering significant ownership, visibility and the opportunity to shape how the brand is brought to life across international markets. Reporting directly to the CCO, you’ll work at the intersection of Trade Marketing, Sales, Product and Creative, driving commercial execution across a growing global distributor network.The RoleYou’ll take ownership of the global trade marketing calendar, ensuring campaigns, launches and retail initiatives are effectively planned, localised and executed across multiple markets.Key responsibilities will include:Own and deliver the global trade marketing calendar across international markets.Lead retail activations, trade shows, pop-ups, events and point-of-sale initiatives.Ensure merchandising guidelines, display units and retail assets are effectively implemented across B2B channels.Support new market entries, product launches and collection launches.Localise global campaigns and marketing assets to meet the needs of individual markets.Develop and manage go-to-market playbooks for priority markets.Work closely with Sales, Creative, Product and Marketing to ensure strong commercial execution.Manage trade marketing budgets, investment and allocation across markets.Analyse sell-in, sell-through and market performance data to identify opportunities and measure impact.Coordinate multiple projects, stakeholders and deadlines in a fast-moving environment.Continuously improve trade marketing processes, tools and ways of working.International ScopeThe role will work across a broad international distributor network, with key markets including:UAE | Saudi Arabia | USA | Cambodia | Other international marketsInternational and multi-market experience is therefore an important part of the role. You’ll need to be comfortable adapting global strategies to local market requirements while maintaining consistency and brand standards.About YouWe’re looking for someone who combines strong trade marketing experience with excellent project management and commercial awareness.Experience working across multiple international markets.Strong trade marketing, retail marketing or commercial marketing experience.Excellent project management and organisational skills.Strong stakeholder management and cross-functional collaboration skills.Experience localising campaigns and driving market-level execution.Confidence working closely with Sales, Marketing, Creative and Product teams.Experience managing budgets, timelines and multiple competing priorities.A commercially focused and analytical mindset, with the ability to interpret market and sales data.The ability to work independently, take ownership and drive projects through to completion.A hands-on, proactive approach and the ability to thrive in a fast-moving, evolving environment.A strong focus on execution, delivery and measurable commercial outcomes.Experience within watches, jewellery, fashion, beauty, luxury or another consumer-facing industry would be advantageous, but is not essential.Why This Role?This is an opportunity to join an ambitious international brand at an exciting stage of growth, with genuine ownership over trade marketing activity and direct exposure to senior leadership. You’ll have the opportunity to influence how the brand is executed across multiple global markets and work across Sales, Marketing, Product and Creative to deliver tangible commercial results.

Technical Project Manager – Contract Position – HIRING ASAPLocation: Hybrid working in London office Start Date: ASAP Duration: 12-month contract Daily Rate: £250 - £350 per day PAYE (Negotiable)SummaryAs a Project Manager, you will be a critical member of the team and work closely with a multi-disciplinary group of researchers. You’ll ensure that all the tactical needs of the team are met to enable our ambitious research programs to succeed. You will work with researchers, engineers, product, legal, and policy to build impactful relationships, serve as a dependable point of contact, and ensure your program’s needs are met. To be successful, you will be eliminating barriers to your team's success, clearly communicating their work to all stakeholders, and ensuring the big picture stays in focus while delving into the details on specific issuesResponsibilitiesCollaborate with researchers and cross-functional partners including communicating research plans, progress, and results.Ensure projects and tasks are prioritized, completed on time, provide status updates through metrics, risks, and mitigations to stakeholders.Translate strategy into structured plan. Autonomously set up project structure leveraging existing formats, and contribute to team alignment by connecting project goals to team/organization goals and communicating to the team and leadershipEffectively use project structure to drive execution of a project’s defined scope, focusing on key objectives and managing interdependencies, managing risk, and reporting. Understand the main impacts of the changes created by the project and support the team through those as appropriateEfficiently analyse data and translate it into actions. Provide input and recommendations to influence decisions and implements changes within the team with minimal guidanceClearly communicate in a timely and collaborative wayTop 3 Skills Needed2-4+ years’ experience, it’s a junior to mid-level positionTechnical Expertise (Research & LLMs): Candidates must possess a level of technical background—such as a background in research engineering, a Masters/PhD in Machine Learning, or direct experience with LLMs—to effectively support researchers. While the role does not involve direct coding, having a technical mindset is considered "beyond anything else" in importance.Relationship Building: The ability to form strong working relationships is the "first thing" required for success.The role involves navigating complex dynamics between diverse stakeholders, including senior staff who may view project management as "overhead" and junior team members who rely heavily on this operational support.High-Pace Adaptability: Candidates must be excited about the role and the reality of the high-velocity, fast-moving research environment. They need to be comfortable with the fast pace, where the opportunity cost of "dropping the ball" is significant, and be a strong cultural fit for the team's research-centric dynamic.Key SkillsHands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligenceCurrently has or is pursuing a Bachelor's and/or Master’s degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experienceTrack record of operating independently, being detail-oriented, and delivering results in a highly organized mannerExperience building relationships with predefined stakeholders from varying cross-functional teamsBonus SkillsDirect experience in generative AI and LLM researchExperience managing projects with remote or distributed teams

SQL Server Lead – ContractLocation: Glasgow | Hybrid – 2–3 days onsiteRate: Up to £410/day Inside IR35Contract until 31 December 2026 (renewable) We’re looking for an experienced SQL Server Lead to join a major financial services environment, supporting the design, development and optimisation of data warehouse and data distribution platforms across security, risk, controls and records management.Key ResponsibilitiesLead end-to-end delivery of SQL Server components from technical design through to deployment and documentation.Develop and optimise complex T-SQL, including stored procedures, functions, views and data models.Own SQL Server performance tuning, including execution plans, indexing, partitioning, statistics and CPU/I/O optimisation.Build resilient batch and near-real-time data processing solutions.Implement testing, data quality checks and reconciliations for trusted reporting.Support production services, incident/problem management and root-cause analysis.Ensure database solutions meet security, access control, audit and records-management requirements.Work closely with analysts, engineers, architects and risk/governance stakeholders.Provide technical leadership through code reviews, engineering standards and mentoring.Essential SkillsExpert-level T-SQL / SQL Server development.Strong SQL Server performance engineering and troubleshooting experience.Excellent understanding of relational database principles and data modelling.Experience with database testing, automation and data quality controls.Strong understanding of secure database development, access management and auditing.Excellent communication and stakeholder management skills.Strong problem-solving and ability to manage complex workloads.DesirableGit/GitLab, branching strategies and pull requests.CI/CD and database release automation.Nexus or similar artefact repositories.PowerShell, Linux shell scripting and/or Python.Data governance and records-management experience.Java and/or Scala, particularly alongside Spark-based processing

Strategic Partner Manager – Gaming Location: London – 3 days onsite Contract: 12 months Rate: Up to £300/day PAYE The Role We are seeking a Strategic Partner Manager to manage and grow relationships with key gaming developers and content partners across EMEA. You’ll help partners adopt new platform features, maximise their presence, and identify opportunities for growth. Key ResponsibilitiesBuild and manage strategic relationships with gaming partners.Represent the gaming platform with senior partner stakeholders.Drive adoption of new features and platform capabilities.Work cross-functionally with Product, Engineering, Marketing, Design and Finance.Analyse partner performance, metrics and industry trends.Identify new partnership and business development opportunities.Advocate for partner needs internally.Essential Experience7+ years in business development, partnerships or account management.Strong understanding of the gaming industry.Excellent communication and stakeholder management skills.Good technical understanding of platforms and features.Experience working cross-functionally in a fast-paced environment.Strong Excel and PowerPoint skills.Fluent English.

Senior Technical Support Specialist (Contract)  Start Date: November Location: Hybrid working in London Duration: 12 months Rate: £350 - £450 per day Outside IR35 As a Senior Technical Support Specialist, you will have a crucial part in enhancing the technical depth and operational excellence of our clients’ Global Service Desk (GSD). You will address sophisticated support issues, propel process improvements, and act as a technical mentor to the team—while remaining fully accountable for your own work and building toward future leadership opportunities. The Role:Act as the primary technical liaison for challenging support issues throughout the Americas, encompassing executive and VIP assistance.Drive continuous improvement through automation, standardization, and adoption of guidelines in endpoint management, identity, and collaboration platforms.Collaborate with IT leadership and business collaborators to align support strategies with organizational goals and upcoming initiatives.Supply technical support to GSD team members, contributing to the growth of their capabilities and enhancing overall team confidence.Participate in critical incident response and on-call rotations, ensuring resolution and clear communication to senior management.Contribute to project delivery and operational readiness across IT initiatives.Must be able to perform physical tasks such as moving equipment, accessing cables under desks, and navigating office environments.Key Skills:Demonstrated ability in Technical Support / Endpoint Management preferred (Senior Associate level)Demonstrable experience in revitalizing service desk/desktop teams through improved trust, processes, and performance metrics.Strong executive support credibility: Able to advise senior collaborators and translate technical risk into business impact.Proficiency in Windows 11, Microsoft 365/Teams, Intune/Autopilot, Azure AD, Okta, and basic networking.Experience implementing incidents, requests, problems, and change workflows in an ITIL-aligned environment.A proactive operations demeanor: Establishing health checks, patch/compliance baselines, capacity plans, and supervising to prevent issues.Automation & tooling skills: Using PowerShell and scripting to reduce toil, standardize builds, and generate operational insights.Outstanding communication and customer service proficiencies, skilled in aiding users within technical and business realms.Ability to prioritize effectively while upholding integrity and composure.Candidate Profile:A proactive problem-solver who anticipates technical and operational challenges, implementing preventive measures before issues impact users or leadership.A reliable technical expert for team members and collaborators, capable of translating intricate technical ideas into understandable business language.A forward-thinking innovator who finds opportunities to streamline workflows, automate tasks, and improve end-user experience.Remaining calm and making decisions under pressure, demonstrating good judgment in critical situations, and taking the lead in resolving issues.A mentor and role model, championing a culture of perpetual advancement and technical expertise within the team.Demonstrates a strong customer-first mindset by proactively resolving technical issues and ensuring a seamless support experience for end users.