GENERAL ENQUIRIES

Senior Data Scientist – Generative AI About the Company A fast-growing technology firm is transforming how the global insurance market operates by automating complex workflows across sales, servicing, and claims. Starting with cutting-edge voice automation and now expanding into full end-to-end workflow automation, the team is pushing the boundaries of reasoning agents capable of managing the entire spectrum of insurance operations. Location Boston, MA or Berkeley, CA – hybrid schedule (2 days per week in-office) The Role We are seeking an experienced Data Scientist to drive large-scale Generative AI initiatives. You will design and build advanced LLM-powered conversational pipelines and automation systems that reshape how insurance tasks are performed. This is a hands-on, strategic role for someone who can both set a high-level vision and dive into the technical details. - Key ResponsibilitiesDesign, architect, and build GenAI conversation pipelines across chat, voice and SMS using techniques such as multi-agent orchestration and retrieval-augmented generation (RAG).Develop scalable evaluation pipelines to measure the performance of enterprise-grade AI/ML solutions.Work closely with ML engineers to deploy, operate and continually optimize large-scale solutions.Collaborate with product managers to shape user journeys, design feedback loops, and analyse user telemetry.Deliver end-to-end AI/ML product experiences tailored to insurance workflows.- What We’re Looking For5+ years of industry experience delivering ML/AI solutions in production.Proven success in building and scaling GenAI or Agentic AI systems in a professional setting.Ability to think strategically while remaining hands-on with optimisation and implementation.Comfort working in a fast-moving, ambiguous environment and translating complexity into clear action.Strong communication skills for sharing innovations internally and externally.Deep understanding of machine learning algorithms and evaluation frameworks, including:Deep learning frameworksSupervised fine-tuning of LLMsPreference optimisation methods for domain adaptation in LLMsTrack record of applying trustworthy AI/ML practices in collaboration with cross-functional stakeholders.- Compensation and BenefitsCompetitive base salary (range dependent on experience)Meaningful equity participationComprehensive benefits package, including location-specific plan options

Machine Learning Engineer (LLM) Salary Competitive DOE Boston, 2 days per week in-office We’re working a fast-growing AI company on a mission to automate complex workflows in the financial services sector, starting with insurance. Their technology leverages cutting-edge AI to simplify high-value processes, from multi-turn conversations to full workflow automation. As an ML Engineer within LLMs, you’ll be building and scaling advanced AI systems that power intelligent, multi-agent workflows. You’ll take ownership of designing, fine-tuning, and productionizing large language models, integrating them with backend systems, and optimizing their performance. You’ll collaborate closely with data science, DevOps, and leadership to shape the AI infrastructure that drives the company’s automation solutions. What You’ll Do:Build, fine-tune, and productionize large language model (LLM) pipelines, including PEFT, RLHF, and DPO workflows.Develop APIs, data pipelines, and orchestration systems for multi-agent, multi-turn AI conversations.Integrate models with backend services, including voice orchestration platforms and transcript generation.Optimize model usage and efficiency, transitioning from external APIs to in-house solutions.Collaborate cross-functionally with data scientists, DevOps, and leadership to deliver scalable machine learning solutions. What We’re Looking For:Essential Skills & Experience:Strong proficiency in Python and ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).Hands-on experience fine-tuning LLMs (Hugging Face, PEFT).Familiarity with AWS (especially S3 for model management) and deploying ML models to production.Ability to reason deeply about ML principles, architectures, and design choices.Knowledge of multi-agent orchestration and conversational AI systems.Desirable Skills & Experience:Experience with RLHF or preference optimization.Background in voice AI, speech-to-text, or text-to-speech systems.Exposure to financial services or insurance applications.Familiarity with optimizing models for long-context scenarios. If you’d like to hear more, please apply or get in touch!

We are seeking a Full-Stack AI Developer (Contractor) with strong backend expertise to join a pilot project enhancing access to an international legal database. You’ll work alongside a Project Manager and an AI Architect to deliver key chatbot and search features powered by Azure and OpenAI. Responsibilities:Develop and optimize backend microservices and APIs for chatbot workflows.Implement a simple, multilingual chat interface with history and source linking.Define Azure infrastructure with IaC and set up CI/CD pipelines.Ensure compliance with GDPR/AI Act through secure, auditable design.RequirementsStrong backend/full-stack development experience.Proficiency in Python, TypeScript/JavaScript, or C#.Hands-on expertise with Azure OpenAI and related Azure services.Familiarity with conversational AI, RAG pipelines, and IaC tools.English required; Spanish a plus.Contract DetailsStart: ASAPLocation: Preference for Spain; open to nearshore Europe.Fast-track hiring: two interview stages.

Your Mission As a Senior ML/AI Engineer, you will lead the design, deployment, and scaling of ML/AI models in production. This is a high-ownership role where you will act as both a technical expert and a strategic thinker — ensuring delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs. You will work cross-functionally with both technical and business teams to craft tailored, high-impact AI solutions that drive real-world value. Responsibilities On the Business SidePartner with clients and internal stakeholders to understand strategic objectives and uncover ML/AI opportunities.Assess feasibility by analyzing available data sources and proposing realistic, impactful solutions.Define project goals, success criteria, and measurable KPIs in alignment with business needs.On the Technical SideLead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.Implement best-in-class MLOps practices to automate training, deployment, and monitoring of models (e.g., with Kubeflow).Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.Ensure full automation from preprocessing to production, with robust testing and CI/CD integration.Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.Candidate Profile5+ years of hands-on experience in ML/AI engineering or data science roles.3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery.Proven experience delivering production-grade models and scalable ML systems.Strong knowledge of ML algorithms, model development, deployment, and lifecycle management.Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.Expertise in MLOps tooling and automation (e.g., Kubeflow, MLflow, Vertex AI Pipelines).Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows.Familiarity with data preprocessing, model tuning, and performance optimization.Clear communicator with the ability to translate complex ideas to technical and non-technical audiences.Fluent in English (French or Spanish is a plus).Eligible to work in Europe.Bonus SkillsExperience with LangChain, LangGraph, or dbt.Prior involvement in consulting or client-facing AI/ML projects.Contribution to open-source or published work in AI/ML communities.Why Join The company values:Generosity – giving back through open-source and community initiatives.Transparency – every voice matters; decisions are shared and aligned.Growth – continuous learning and experimentation encouraged.Ownership – responsibility and impact are celebrated.Trust – people are valued as individuals, not just colleagues.Ever-learning – time is dedicated to innovation, training, and knowledge-sharing.This is an opportunity to grow, contribute, and make a meaningful impact — both inside the company and in the wider AI/ML community.

Our client is looking for Software Engineers to join their Motion Planning & Control team. In this role, you’ll design optimization-driven, machine-learning-enhanced pipelines that give robots agility, precision, and the ability to coordinate in dynamic environments. Key ResponsibilitiesDevelop and ship real-time learning-based controllers that drive robotic performance.Build and maintain robust motion-generation and validation pipelines applied across multiple projects.Pioneer multi-robot motion planning and coordination strategies.Own and evolve core C++ control and motion-generation libraries.What You BringStrong problem-solving skills and solid mathematical grounding in optimization, dynamics, and linear algebra.Mastery of modern C++: writing clean, efficient, testable code.A builder’s mindset - confident in implementing algorithms from the ground up.A bias toward rapid prototyping, testing, and iteration.Collaborative, low-ego approach that makes you great to work with.Why JoinDirect ownership of motion planning and control technology at the core of our systems.Immediate impact - your code will be deployed on robots within days.A senior, focused team that values clarity and avoids politics.Competitive salary, equity options, and top-tier equipment.The chance to push the limits of robotic motion and autonomy.

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 paradigmsSignificant stock offering.If 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.

Urgent Vacancy 3D Computer Vision Engineer Upto $72,000 Fully Remote Immediate start available (Must be available to start within 2 weeks)  Work with a leading AI company in mobile body scanning and visualization, recognized with IEEE certification and awards like Digiday Technology and RTIH Innovation.  We’re seeking a Research Engineer with 2+ years in CV/ML, strong skills in 3D vision, computational geometry, ML theory, numerical optimization, and Python (PyTorch/TensorFlow).  Responsibilities include advancing our body reconstruction pipeline, building validation frameworks, improving measurement & avatar accuracy, and ensuring ML pipeline integrity. Strong English, communication, and teamwork are key.

AI Engineer - 12 month contract  A leading consultancy in Zurich is looking for an experienced AI Engineer to deliver projects focused on LLMs and RAG systems in Azure or AWS. This role involves designing, building, and deploying scalable solutions for enterprise clients, working closely with stakeholders in a consulting environment. Key RequirementsProven experience with LLMs and RAG pipelines.Previous consulting/client-facing experience is essential.German language skills strongly preferred; English required.Zurich-based or willing to work onsite 2 days per week.Tech StackPythonLangChain / LlamaIndexAzure or AWS cloud servicesVector databases (Pinecone, Weaviate, FAISS, etc.)API development & integrationKey contract information:Location: Zurich, Switzerland (Hybrid, 2 days onsite)Contract: 12 months (extention likely)