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Senior Data Engineer - HealthTech$150,000 - $200,000  Fully RemoteFull time / Permanent A fast-growing healthcare technology start up is looking for a Senior Data Engineer to join their team. They are actively working with large healthcare organizations across the U.S, helping them get more value from their data through AI-powered clinical tools. This work has a direct impact on how care is delivered and the data teams sit at the centre of that. This is a hands-on role. You will be building and owning data pipelines that feed real AI systems used by clinicians every day. Why JoinSmall, collaborative teams where senior engineers have real ownershipClear progression to director. The company is growing and promotes from withinCompetitive base salary, equity, flexible hours, and strong benefitsWork that has a tangible impact on patient care across the U.S.The Role You will join a small team responsible for integrating data from large healthcare organisations into a modern cloud data platform. Day to day, you will be building pipelines, validating data quality, and making sure the right data reaches the right systems reliably and on time. You will also contribute to shared tools and frameworks that make future integrations faster, work that scales well beyond your individual projects. What We're Looking For4 years of experience building production data pipelinesStrong SQL skills across large, complex datasetsProficiency in Python for data transformationExperience with cloud-based data platforms and distributed processing toolsComfortable working with healthcare data formats and standards, or willing to learn quicklyExperience with Azure cloud servicesUseful but not essential:Background in healthcare data or EHR systemsExperience with modern lakehouse architecturesExposure to real-time data pipelines or message-based data feedsExperience in a SaaS or multi-tenant environmentTech Stack Azure Data Factory - Databricks - Python - SQL - PySpark - CI/CD tooling - Healthcare data standards What Success Looks LikePipelines delivered on time, well tested, and clearly documentedData quality issues caught early — before they reach productionReusable components that speed up future workStrong working relationships with partner technical teamsNoteworthy - This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.

Senior Data Engineer - HealthTech$150,000 - $200,000  Hybrid - Houston, TX Full time / Permanent A fast-growing healthcare technology start up is looking for a Senior Data Engineer to join their team. They are actively working with large healthcare organizations across the U.S, helping them get more value from their data through AI-powered clinical tools. This work has a direct impact on how care is delivered — and the data teams sit at the centre of that. This is a hands-on role. You will be building and owning data pipelines that feed real AI systems used by clinicians every day. Why JoinSmall, collaborative teams where senior engineers have real ownershipClear progression to director. The company is growing and promotes from withinCompetitive base salary, equity, flexible hours, and strong benefitsWork that has a tangible impact on patient care across the U.S.The Role You will join a small team responsible for integrating data from large healthcare organisations into a modern cloud data platform. Day to day, you will be building pipelines, validating data quality, and making sure the right data reaches the right systems reliably and on time. You will also contribute to shared tools and frameworks that make future integrations faster, work that scales well beyond your individual projects. What We're Looking For4 years of experience building production data pipelinesStrong SQL skills across large, complex datasetsProficiency in Python for data transformationExperience with cloud-based data platforms and distributed processing toolsComfortable working with healthcare data formats and standards, or willing to learn quicklyExperience with Azure cloud servicesUseful but not essential:Background in healthcare data or EHR systemsExperience with modern lakehouse architecturesExposure to real-time data pipelines or message-based data feedsExperience in a SaaS or multi-tenant environmentTech Stack Azure Data Factory - Databricks - Python - SQL - PySpark - CI/CD tooling - Healthcare data standards What Success Looks LikePipelines delivered on time, well tested, and clearly documentedData quality issues caught early — before they reach productionReusable components that speed up future workStrong working relationships with partner technical teamsNoteworthy - This is a full-time / permanent role and cannot be considered for C2C, C2H, or any other temporary contracts.

We are seeking an experimental physicist with strong hands-on experience in atomic, optical, or quantum systems to help build and operate advanced experimental platforms. You will work directly with precision hardware for qubit control, measurement, and system scaling, contributing to the development of next-generation quantum technologies.This is a lab-focused role for someone who enjoys designing experiments, troubleshooting complex setups, and collaborating across disciplines to turn ideas into working systems. Responsibilities Design, build, and characterize optical, vacuum, and/or cryogenic experimental systemsImplement protocols for qubit preparation, control, and readoutIntegrate lasers, RF/microwave systems, control electronics, and data acquisitionAnalyze experimental data and optimize performance and stabilityTroubleshoot hardware and control issues across the full experimental stackCollaborate with engineers and scientists to inform system design and scalingRequirements Ph.D. in Physics, Applied Physics, Electrical Engineering, or related fieldHands-on experience with experimental quantum systems (AMO, solid-state, or superconducting)Familiarity with qubit control, spectroscopy, or precision measurementStrong experimental problem-solving skillsExperience using Python or similar tools for experiment control and analysisA collaborative mindset and clear communication skills

Simulation Engineer Location: Onsite - Bay Area.Company: High-growth AI startup (stealth / early-stage)Focus: Physics-based simulation to ML-driven systemsOverviewOur client is building a new class of AI systems designed to understand and operate within real-world physical environments. The company sits at the intersection of simulation, machine learning, and industrial systems, with a focus on turning high-fidelity simulation data into scalable, production-grade intelligence.They are hiring Simulation Engineers across multiple domains who can bring deep subject-matter expertise and translate complex physical systems into computational models that can be learned, optimised, and deployed. This is not a pure research role. It is for engineers who have built and used simulation systems in real-world environments and understand how those systems behave under production constraints.Key Areas of HiringCandidates should come from one of the following domains:Bioreactors / Bioengineering (top priority)CFD / Fluid Dynamics (medical devices or industrial systems)Aerospace (flight physics, aerodynamics, control systems)Fixed-Wing Drones / UAVsAviation (commercial or defence aircraft systems)Space / Rocket SystemsWhat You’ll DoDevelop and apply high-fidelity simulation models across fluid, structural, thermal, biological, or aerodynamic systemsTranslate simulation outputs into ML-compatible datasets and representationsWork closely with ML and AI teams to enable surrogate modelling, optimisation, and system-level learningImprove simulation performance, scalability, and reliability across large-scale compute environmentsDesign end-to-end pipelines from simulation through to data generation, model training, and deploymentValidate and calibrate models against real-world data where availableWhat They’re Looking ForCore Requirements:Strong background in simulation engineering within a real-world domainExperience with tools such as OpenFOAM, ANSYS Fluent, STAR-CCM , Abaqus, ANSYS Mechanical, COMSOLExperience building or working with custom simulation frameworks (C , Python, MATLAB or similar)Solid understanding of physics-based modelling (fluids, thermodynamics, structural mechanics, control systems, or bio-systems)Experience working with large-scale simulations or HPC environmentsPreferred:Exposure to ML workflows (PyTorch, TensorFlow, surrogate models, optimisation loops)Experience generating or working with synthetic data from simulationsFamiliarity with distributed compute, GPU acceleration, or cloud-based simulation pipelinesBackground in companies such as:Medical Devices: Stryker, Medtronic, Boston Scientific, Zimmer BiometDrones/UAVs: Skydio, DJI, Autel, ParrotAerospace/Aviation: Boeing, Airbus, Joby, defence organisationsSpace: SpaceX, Relativity Space, NASA, Project Kuiper, Muon SpaceWhat Makes This DifferentYou are helping turn simulation into intelligence, not just running modelsDirect exposure to next-generation AI systems grounded in physicsOpportunity to work across multiple industries and problem domainsHigh ownership in shaping how simulation integrates into AI systems for the physical worldIdeal ProfileDomain expert first, not a generalistHas built simulations that informed real-world decisionsComfortable operating in ambiguous, early-stage environmentsInterested in bridging physics and machine learningHiring PriorityBioreactors / Bio-simulation (urgent)CFD / Fluid systemsAerospace / UAVAviationSpace systems

Lead MLOps Engineer Zurich, Switzerland | Hybrid (1 day on-site per week) AI Consultancy CHF 130k – 136k Bonus Overview This is a hands-on MLOps / software engineering role within an AI consultancy that delivers production ML systems into enterprise environments. You’ll be embedded inside the pricing team of a large insurance company, working on an existing project where more engineering capacity is needed to get models into production and keep them running. The core problem is straightforward: models exist, now they need to be deployed, scaled, and made reliable on GCP. What you’ll be doing You own the path from trained model to production system. That includes building MLOps pipelines, deploying models into GCP, and ensuring they’re stable, monitored, and usable once live. You’ll work closely with data scientists on one side and stakeholders on the other to make sure what’s built actually runs and delivers value. Environment You’ll join a lean team: Head of AI Engineering one engineer. The consultancy model means you’re embedded with the client for long-term engagements (typically 1–2 years), so you stay close to the systems you build and continue improving them over time. You’ll work directly with both technical and non-technical stakeholders, with no layers in between. What this offers youOwnership of ML deployment into production on GCPWork on systems used day-to-day by the business (pricing decisions)Small team, high visibility, direct access to leadershipLong-term project continuity (1–2 years)Clear progression into Architect / Principal or consulting trackWhat you bring You’ve deployed ML systems into production and know where things tend to break. You’re strong on GCP, can operate independently, and are comfortable working directly with stakeholders. You care about system reliability, clean architecture, and making ML systems actually work in production. CompensationBase: CHF 130k – 136kBonus: typically ~1 month salaryCHF 2,500 annual learning budgetCHF 1,000 annual wellness budget

AI Research Engineer – ContractLocation: London – 3 days onsiteContract: 6 months (extensions possible)Start: ASAPOverviewLeading tech company hiring a Research Engineer to work on LLM agents and machine learning systems within an AI research team.Key ResponsibilitiesBuild and optimise machine learning models and LLM-based agentsDesign experiments, tools, and infrastructure for large-scale AI systemsWrite production-quality Python code alongside researchers and engineersTranslate research into practical, scalable solutionsSkills & Experience8 years’ experience in software engineering / machine learningStrong Python and PyTorch experienceExperience with LLMs, generative AI, or large-scale ML systemsAbility to work at pace in a research-driven environmentQualificationsDegree in Computer Science, Machine Learning, or related fieldAdvanced degree (PhD/Master’s) in ML, Maths, or Physics is a plus

Job Title: Humanoid Robotics Product Manager (Mandarin Speaking) 📍 Location: Dubai, UAE (Relocation Required) 💰 Salary: $5,000 – $10,000 per month (tax-free) A global industrial technology organisation is building a new robotics and automation division in Dubai, focused on deploying humanoid robots in real industrial environments such as warehouses, factories, construction sites, and maintenance operations. We are looking for a Humanoid Robotics Product Manager to lead the development and deployment of these systems — translating cutting-edge robotics capabilities into scalable commercial products. This role sits at the intersection of robotics engineering, product strategy, and industrial operations, working closely with robotics engineers, AI teams, and enterprise customers.Fluent Mandarin Chinese and English are mandatory for this role. Key Responsibilities • Define the product strategy and roadmap for humanoid robotics solutions in industrial environments • Identify high-value use cases across logistics, manufacturing, construction, and inspection • Translate real-world operational challenges into product requirements • Work closely with robotics hardware, AI/software, and autonomy teams • Lead product development from concept → pilot → large-scale deployment • Manage industrial pilots and convert them into scalable commercial offerings • Support go-to-market strategy, customer engagements, and strategic enterprise deals Requirements • Fluent Mandarin Chinese and English • 5 years of experience in product management or technical leadership in robotics / automation • Strong understanding of industrial environments (manufacturing, logistics, construction, etc.) • Experience delivering hardware software products from concept to deployment • Degree in Robotics, Engineering, Computer Science, or related field • Willingness to relocate to Dubai and travel internationally when required Nice to Have • Experience with humanoid robots or mobile manipulation systems • Familiarity with robot autonomy, perception, and control architectures • Experience launching robotics products into industrial markets 🚀 Why this role? • Work on cutting-edge humanoid robotics deployments • Join a fast-growing robotics initiative within a major global industrial group • Tax-free salary in Dubai • Opportunity to build products deployed across global industrial markets

Job Title: ML Tech Lead – Multimodal AILocation: London / Remote Europe ConsideredCompensation: Competitive Base Salary Bonus Travel AllowanceAbout the RoleWe are seeking a hands-on ML Tech Lead to build and lead a brand-new team in a recently created, well-funded AI initiative. You’ll be responsible for shaping the direction of a cutting-edge platform for AI-driven video search and discovery, combining audio, video, and text data. This is a high-visibility role with the chance to impact creative teams and artists globally.Key ResponsibilitiesLead a multidisciplinary team of backend, frontend, and AI engineersArchitect and develop a multimodal AI search platform (video, audio, text)Design and build scalable content ingestion, indexing, and retrieval systemsIntegrate ML models into production search infrastructure (vector search, Elasticsearch/OpenSearch)Mentor engineers and foster a high-impact, collaborative team environmentDeliver robust, production-ready systems on modern cloud infrastructureWhat We’re Looking ForStrong experience in machine learning, especially multimodal modelsHands-on technical expertise in building large-scale search or recommendation systemsProficiency in cloud-based architectures and scalable production systemsLeadership experience: building, mentoring, and guiding engineering teamsPassion for music, media, or creative technology is a plusWhy This Role is ExcitingLead a newly created, high-impact initiative within a global entertainment leaderWork with massive audiovisual datasets and state-of-the-art AI technologyShape tools that directly support artists, creative teams, and content discoveryBe part of a well-funded, forward-thinking AI lab with long-term growth opportunities