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AI Integration Lead – Workday HCM Contract | 5 months | Fully Remote Start: Mid-September Sector: Global Enterprise  A global organisation is seeking an AI Integration Lead to support its Workday HCM transformation. This role will drive the design and delivery of AI features across key streams including data, integration, testing, and leadership alignment. You’ll act as the bridge between technical teams and business stakeholders to ensure AI is embedded effectively in HR processes, with a focus on workforce planning, talent management, and operational efficiency. Key responsibilities:Advise leadership on the role of AI within the Workday rolloutCollaborate with PMO, data, and integration teams to design and implement AI-driven featuresEnsure AI solutions align with business goals, data quality requirements, and ethical standardsSupport testing and validation of predictive models and automation toolsWhat we’re looking for:Proven experience delivering AI/ML solutions in enterprise environmentsGood understanding of HR systems, ideally WorkdayStrong communication skills and ability to work across cross-functional teamsAwareness of ethical AI principles and data governance in HR contextsThis is a hands-on, delivery-focused role with high visibility across a global transformation. Fully remote with a mid-September start.

Freelance Contract: Lead Product Owner/Programme Manager – GenAI Program Location: Remote (EU-based candidates only) Start Date: ASAP Duration: 6 months A global enterprise client is seeking a Lead Product Owner/Programme Manager to support the delivery of a cross-functional GenAI program. You’ll work alongside the AI Strategy Lead to manage the GenAI roadmap, oversee the intake and prioritisation of AI use cases from across the business, and ensure delivery aligns with governance and strategic value. Key Responsibilities:Own and evolve the GenAI product roadmapManage use case intake, evaluation, and prioritisationTrack delivery across Experiment, Pilot, and Scale phasesAlign cross-functional stakeholders and manage dependenciesEmbed governance and reporting milestones throughout the delivery processSupport communication and change initiatives linked to the GenAI rolloutWhat We're Looking For:Strong experience in product ownership or program managementFamiliarity with AI, ML, or advanced analytics projectsExcellent stakeholder management and communication skillsComfortable working in complex, enterprise environmentsEU-based, with good remote working setup

We're on behalf of a client who’s building an AI-first platform to automate complex regulatory workflows. They’re urgently looking for a Senior AI Engineer to help move from traditional SaaS to results-as-a-service, using advanced LLM and agentic AI systems. Remote role (UK, Ireland, or EU-based). You’ll be working on building and scaling GenAI pipelines that power intelligent features within a compliance platform used by global enterprises. This includes training and fine-tuning LLMs to interpret regulatory documents, implementing agentic reasoning frameworks, and integrating ML capabilities into the product backend. Responsibilities include:Building and fine-tuning LLMs and advanced NLP modelsDeveloping scalable pipelines for unstructured and structured dataDeploying models using AWS tools (SageMaker, EKS, ECS) and integrating them into productionWorking with agent frameworks like LangChain, LangGraph, AutoGen, Semantic KernelMonitoring and performance tuning using Langsmith, Opik, Weights & BiasesIf you're interested, feel free to respond with your most up-to-date resume/CV and we’ll be in touch to discuss.

Python Developer – AI Agent A European tech consultancy is supporting a client on a cutting-edge Generative AI project. The client is developing an agent to extract and structure information from online sources using LLMs. They’re looking for experienced Python developer to work closely with data scientists and data engineers to design and build this agent using LangGraph. Key details:Location: Remote (Have to be in CET timezone)Rate: €350/dayDuration: 3-month initial contract, likely extensionInterview: One-stage Tech Stack:PythonLangGraph (LLM orchestration, prompt/context engineering)Azure (from Foundry platform – containerization possible; Azure experience would be great but not a hard requirement)Ideal Candidate:Strong Python skillsComfortable collaborating with data teamsInterest or experience in LLM applications and agent designAble to reason through system design trade-offs

Azure AI Solution Architect – Remote Contract Location: Remote (Has to be EU-based) Language: Fluent/native English required Start: ASAPDuration: Until end of 2025, extremely likely extension A growing Microsoft-focused consultancy is seeking an experienced Azure AI Solution Architect to lead the design and delivery of enterprise Azure and Generative AI projects. You will act as the technical lead across solution architecture, client engagement, and delivery. Working with services like Azure Cognitive Search, OpenAI, and DevOps pipelines. The role is fully remote and client-facing, within a fast-moving, technically mature team. What you’ll bring:8+ years in Microsoft ecosystems (.NET, Azure PaaS)Strong experience in AI/ML and GenAI solution architecture (Azure Cognitive Services, Azure OpenAI)Understanding of prompt engineering and patterns like RAGExcellent communication skills across tech and business stakeholdersNice to have:Azure certificationsExperience with LLMs (GPT, BERT, LLaMA)Portuguese or French language skills

Why this role matters Lead the design and deployment of enterprise-grade generative AI solutions on Azure. Your work will drive innovation and deliver measurable value across business functions. Responsibilities • Design scalable, secure generative AI architectures using Azure OpenAI Service, Azure ML, Cognitive Services, AKS, and vector databases. • Define and lead AI adoption strategies aligned with business objectives, focusing on text, image, and code generation use cases. • Evaluate, integrate, tune, and operationalise foundation models like GPT, DALL·E, and Codex. • Build automated AI pipelines and MLOps workflows with Azure ML, Data Factory, Synapse, DevOps, and LLM orchestration tools such as LangChain or Semantic Kernel. • Ensure compliance with responsible AI principles, data governance standards and regulatory requirements. • Partner with senior leadership to translate technical concepts into clear business recommendations. • Stay current with generative AI trends and emerging Azure tools; propose new use cases and solutions. Required experience and skills • Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML or related field. • At least seven years of solution architecture experience, including a minimum of two years working hands-on with Azure AI and generative models. • Expertise in Azure OpenAI Service, Azure ML, Cognitive Search, AKS, and vector databases such as Cosmos DB, Pinecone or Weaviate. • Practical experience with LLM orchestration frameworks like LangChain or Semantic Kernel, and with prompt engineering and model fine‑tuning. • Programming proficiency in Python, C# or equivalent, and solid understanding of REST APIs, CI/CD pipelines and DevOps practices. • Preferred certifications: Microsoft Certified: Azure Solutions Architect Expert and/or Azure AI Engineer Associate. What's in it for you?• Competitive base salary with performance-based bonuses. • Flexible working arrangements to support work-life balance. • Opportunities to work on leading-edge generative AI projects with visible business impact. • Access to training, mentoring and support for achieving Azure certifications. • Collaborative, innovative team culture focused on real-world outcomes. What sets you apart Proven ability to deliver tangible results—share past projects where you architected or deployed generative AI solutions, including key metrics and business impact. Demonstrated use of Azure-native tools and best practices in MLOps and responsible AI.

We are looking for an experienced Engineer/Scientist to join a cutting-edge robotics team in Zurich, focused on humanoid manipulation through state-of-the-art AI. You will contribute to developing and deploying learning-based controllers to enable robots to interact intelligently, reliably, and flexibly with complex environments. This role is deeply hands-on with real robot hardware, leveraging your expertise across vision-language-action (VLA) models, diffusion models, reinforcement learning, and dexterous manipulation. What we’re looking for:PhD or Master's in Robotics, AI, or related fieldsStrong expertise in learning-based dexterous manipulation (multi-fingered grasping, task-oriented manipulation)Practical experience with running real-time controllers on robotic hardwareDeep knowledge of diffusion models, transformers, CVAEs, normalizing flowsExperience working with ROS, PyTorch, and PythonFamiliarity with vision-language models (VLA/VLMs/LLMs) for robotic planning or failure detectionBonus: experience with synthetic data generation, simulation environments, teleoperation systemsWhy this role?Join a high-calibre team (ex-ETH / ex-NVIDIA founders) backed by significant investment (Seed + Series A secured)Work at the intersection of simulation, reinforcement learning, and robotics hardwareContribute to next-generation humanoid robots without reliance on traditional imitation learning paradigmsIf you’re passionate about building more intelligent robots through cutting-edge AI and want to work in a fast-moving, well-resourced environment, we’d love to hear from you.

This role is for a Senior AI Engineer to join a small, high-impact AI team building production-ready tools used by financial professionals. You'll work on LLM-powered copilots, fraud detection systems, and real-time analytics products for portfolio managers, traders, and compliance teams. It's a remote-first role based in Switzerland, with occasional travel to Zurich. Fluency in German is essential, especially for account management and client collaboration. They're looking for someone who can take the lead on building out the Zurich engineering team, so leadership experience and an entrepreneurial mindset are important. You’ll be given real ownership from day one. 🎯 Key Requirements • 5–6+ years in software/AI engineering • 2+ years of hands-on experience working with LLMs • Excellent communication skills, fluent German • Team leadership experience or clear potential to lead • Proactive, self-motivated, and product-minded 🔧 What makes this interesting? • Build full-stack ML products end-to-end • Train and fine-tune LLMs and classical models • Ship clean, testable Python, TypeScript or Go • Collaborate with quants, PMs, and clients • Work in a small, high-trust team where ideas move fast If you're looking for impact, technical ownership, and the chance to help shape a growing AI product line, this could be the one.