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AI Low-Code Developer (Microsoft Power Platform)- 3-Month Freelance Contract - likely to extend - Fully Remote (Europe-Based Candidates Only)We're supporting a client on an exciting AI transformation programme and are looking for an experienced AI Low-Code Developer to join the team on an initial 3-month contract.Key ResponsibilitiesDevelop AI-powered business applications using Microsoft Power Platform.Build intelligent solutions with Power Apps, Power Automate and Dataverse.Integrate Microsoft Copilot, Copilot Studio and AI Hub capabilities into business applications.Apply prompt engineering to optimise AI-driven workflows and user experiences.Translate business requirements into scalable low-code solutions.Collaborate with technical and business stakeholders to deliver high-quality solutions.Essential SkillsStrong commercial experience with Microsoft Power Platform.Proven hands-on experience with Microsoft Copilot.Proven hands-on experience with Copilot Studio.Proven hands-on experience with AI Hub.Experience with Power Apps, Power Automate and Dataverse.Strong understanding of prompt engineering and AI-assisted automation.Experience working with Azure DevOps or similar delivery practices.Excellent communication and stakeholder management skills.DesirableKnowledge of Power Platform governance and security.Microsoft Power Platform certifications (PL-900, PL-100, PL-200, PL-400).This is a fully remote freelance contract. Candidates must be based in Europe and available to start at short notice.

AI Low-Code Developer (Microsoft Power Platform)- 3-Month Freelance Contract - likely to extend - Fully Remote (Europe-Based Candidates Only)We're supporting a client on an exciting AI transformation programme and are looking for an experienced AI Low-Code Developer to join the team on an initial 3-month contract.Key ResponsibilitiesDevelop AI-powered business applications using Microsoft Power Platform.Build intelligent solutions with Power Apps, Power Automate and Dataverse.Integrate Microsoft Copilot, Copilot Studio and AI Hub capabilities into business applications.Apply prompt engineering to optimise AI-driven workflows and user experiences.Translate business requirements into scalable low-code solutions.Collaborate with technical and business stakeholders to deliver high-quality solutions.Essential SkillsStrong commercial experience with Microsoft Power Platform.Proven hands-on experience with Microsoft Copilot.Proven hands-on experience with Copilot Studio.Proven hands-on experience with AI Hub.Experience with Power Apps, Power Automate and Dataverse.Strong understanding of prompt engineering and AI-assisted automation.Experience working with Azure DevOps or similar delivery practices.Excellent communication and stakeholder management skills.DesirableKnowledge of Power Platform governance and security.Microsoft Power Platform certifications (PL-900, PL-100, PL-200, PL-400).This is a fully remote freelance contract. Candidates must be based in Europe and available to start at short notice.

AI Low-Code Developer (Microsoft Power Platform)- 3-Month Freelance Contract - likely to extend - Fully Remote (Europe-Based Candidates Only)We're supporting a client on an exciting AI transformation programme and are looking for an experienced AI Low-Code Developer to join the team on an initial 3-month contract.Key ResponsibilitiesDevelop AI-powered business applications using Microsoft Power Platform.Build intelligent solutions with Power Apps, Power Automate and Dataverse.Integrate Microsoft Copilot, Copilot Studio and AI Hub capabilities into business applications.Apply prompt engineering to optimise AI-driven workflows and user experiences.Translate business requirements into scalable low-code solutions.Collaborate with technical and business stakeholders to deliver high-quality solutions.Essential SkillsStrong commercial experience with Microsoft Power Platform.Proven hands-on experience with Microsoft Copilot.Proven hands-on experience with Copilot Studio.Proven hands-on experience with AI Hub.Experience with Power Apps, Power Automate and Dataverse.Strong understanding of prompt engineering and AI-assisted automation.Experience working with Azure DevOps or similar delivery practices.Excellent communication and stakeholder management skills.DesirableKnowledge of Power Platform governance and security.Microsoft Power Platform certifications (PL-900, PL-100, PL-200, PL-400).This is a fully remote freelance contract. Candidates must be based in Europe and available to start at short notice.

Summary A cutting-edge deep-tech company is seeking a Senior Scientist to lead research at the intersection of molecular vibrational dynamics, nonlinear spectroscopy, and quantum-enabled measurement technologies. You'll play a pivotal role in developing next-generation molecular sensing methods, working within a multidisciplinary team of experts in quantum optics, quantum information, spectroscopy, and physical chemistry. Key ResponsibilitiesLead the development of theoretical models describing molecular behaviour and spectroscopic measurements.Simulate molecular dynamics and predict spectroscopic signals across advanced quantum spectroscopy techniques.Develop species-specific molecular models and analyse their behaviour over time.Collaborate closely with experts in quantum optics, quantum information, and experimental physics to advance new measurement technologies.Act as the company's subject matter expert in molecular vibrational dynamics and represent the organisation in scientific collaborations.Help shape the long-term scientific direction of this research area. RequirementsPhD in Physical Chemistry, Chemical Physics, Theoretical Chemistry, or a closely related field.Several years of postdoctoral or industrial research experience.Strong expertise in molecular vibrational dynamics and nonlinear/ultrafast spectroscopy.Experience with theoretical modelling, quantum chemistry, molecular dynamics simulations, and spectroscopic signal analysis.Ability to bridge molecular modelling with experimental spectroscopy.Strong scientific leadership, problem-solving ability, and experience working independently on complex research challenges.Excellent communication and collaboration skills within multidisciplinary research teams. BenefitsCompetitive salary based on experience.Equity package.Opportunity to lead a key scientific discipline within an innovative deep-tech company.Work alongside internationally recognised experts in quantum science and spectroscopy.Contribute to the development of pioneering measurement technologies with applications across healthcare and life sciences.Publish high-impact research and build international scientific collaborations.Significant influence over both the company's scientific roadmap and future technology development.

Quantum Measurement EngineerSeeking an experienced Quantum Measurement Engineer to develop and optimise high-fidelity measurement and control systems for superconducting quantum processors. The role involves designing experimental measurement infrastructure, improving qubit performance, automating experiments, and collaborating across hardware and software teams to support the development of scalable quantum computing systems. ResponsibilitiesDesign and optimise qubit readout and control systems for superconducting quantum hardware.Develop and execute qubit characterisation protocols (e.g. T₁, T₂, Ramsey, echo, randomized benchmarking, readout fidelity, crosstalk).Improve measurement fidelity and signal-to-noise performance within hardware constraints.Develop and maintain experimental control software using Python and laboratory instrumentation.Analyse experimental data and compare results with theoretical models and simulations.Collaborate with multidisciplinary engineering and research teams to improve device performance.Support the development of scalable measurement architectures and laboratory automation.Document experimental methods, results, and technical findings. RequirementsMSc or PhD in Physics, Applied Physics, Electrical Engineering, or a related discipline.Significant hands-on experience working with superconducting qubits or similar quantum hardware.Experience with microwave electronics and measurement equipment (e.g. IQ mixers, amplifiers, VNAs).Strong understanding of quantum measurement techniques and qubit decoherence.Experience operating cryogenic systems, including dilution refrigerators.Proficiency in Python for experiment control and data analysis.Familiarity with laboratory automation and experimental measurement frameworks.Ability to troubleshoot complex hardware and software systems. BenefitsCompetitive salary and benefits package.Equity or share option opportunities.Flexible and hybrid working arrangements.Collaborative, merit-based working environment with opportunities for professional growth.

OverviewWe are partnering with an innovative deep-tech company developing next-generation photonic and quantum-enabled computing systems. The team is looking to hire a hands-on engineer to support the build, integration, testing, and deployment of advanced optical and opto-electronic hardware systems. This is an opportunity to work at the intersection of photonics, quantum technologies, and high-performance computing, helping to transform cutting-edge research into robust, customer-ready products. Key ResponsibilitiesOwn the assembly, integration, commissioning, and ongoing support of complex photonic and opto-electronic subsystems.Diagnose hardware and system-level faults, perform root-cause analysis, and implement reliability improvements.Develop and improve assembly, testing, maintenance, and service procedures to support scalable product deployment.Collaborate closely with research and engineering teams to transition new technologies from R&D into manufacturable products.Support customer installations, upgrades, and technical handovers when required.Work with suppliers and vendors to source components and identify opportunities for performance improvements, simplification, and cost reduction.Contribute to system documentation, tooling, and process optimisation initiatives. RequirementsDegree (or equivalent experience) in Physics, Engineering, Photonics, Optics, or a related discipline.Proven experience building, integrating, and troubleshooting complex hardware systems involving optics, electronics, and software control.Hands-on experience working with fibre-optic components and precision optical systems.Strong practical understanding of photonic or opto-electronic instrumentation.Programming experience in Python and/or C++ for instrumentation, automation, data acquisition, or system analysis.Strong troubleshooting and problem-solving skills with a structured, methodical approach.Comfortable working in a fast-paced engineering environment with evolving priorities.Excellent communication skills and a collaborative mindset.Desirable ExperienceQuantum optics, quantum technologies, or advanced scientific instrumentation.Optical communications, photonic integrated circuits, or laser systems.Supply chain, procurement, or bill-of-materials (BOM) management.Regulatory or compliance experience (e.g. CE, UKCA, FCC).Data centre, HPC, or large-scale hardware deployment environments.Experience within a startup, scale-up, or other deep-tech organisation. Benefits Opportunity to work on cutting-edge photonic and quantum technologies with real-world commercial applications.Exposure to multidisciplinary teams spanning physics, engineering, software, and product development.Hybrid working environment in Central London.Competitive compensation package.Significant opportunities for technical growth and career progression within a rapidly expanding deep-tech organisation

SummaryQuantum Algorithm Engineer required to help translate quantum algorithms into practical, hardware-ready implementations. You will develop and optimise quantum circuits, build software tools for quantum computing workflows, and collaborate with research and hardware teams to improve the performance and scalability of quantum systems. This role is ideal for a software-focused quantum researcher or engineer who enjoys working at the intersection of quantum algorithms, scientific computing, and emerging hardware technologies. ResponsibilitiesDesign, implement, and optimise quantum circuits for execution on target quantum hardware architecturesDevelop software tools and frameworks for quantum circuit compilation, transpilation, optimisation, and deploymentProfile and benchmark quantum circuit performance to identify bottlenecks and improvement opportunitiesWork closely with research and hardware teams to translate algorithmic concepts into practical implementationsBuild and maintain internal quantum software infrastructure and toolingImprove workflows for scalable quantum computing development and experimentationContribute to the advancement of quantum software capabilities through robust, maintainable code RequirementsPHD  in Physics, Computer Science, Mathematics, Engineering, or a related technical disciplineStrong software engineering skills, particularly in scientific computing environments (Python, C++, or similar)Hands-on experience with quantum circuit design and quantum software frameworks such as:QiskitPennyLaneCirqSimilar quantum programming platformsUnderstanding of:Quantum gates and circuit architecturesQuantum circuit compilation and optimisationHardware constraints affecting quantum executionAbility to write reliable, maintainable, and well-structured softwareStrong analytical and problem-solving skillsExcellent written and verbal communication skillsAbility to collaborate effectively across research and engineering teamsPreferred ExperienceKnowledge of quantum error correction and fault-tolerant quantum computingExperience with:Noise modellingError mitigation techniquesHardware-aware compilationQuantum circuit synthesisFamiliarity with classical high-performance computing (HPC), distributed computing, or quantum simulationContributions to open-source quantum software projectsExperience working in research-driven or deep-tech environments BenefitsCompetitive salary package with meaningful equity participationVisa sponsorship support where applicableCompany-sponsored health coverageFlexible time off policyCollaborative, research-driven working environmentOpportunity to work on foundational technologies at the intersection of quantum computing and advanced software engineeringExposure to cutting-edge quantum research and hardware development challengesOpportunity to make significant technical contributions within a growing team

OpportunityWe’re partnering with an ambitious, investor-backed health technology scale-up that is building a next-generation preventive healthcare platform powered by machine learning, multimodal data, and conversational AI.This is a rare chance to join as one of the earliest technical hires and help shape both the product and the company. You’ll work directly with founders and senior technical leaders, taking ownership of problems that sit at the intersection of AI, healthcare, and product innovation.If you enjoy building from first principles, shipping quickly, and seeing your work reach real users, this role offers an exceptional level of autonomy and influence.About the OrganisationThe business is developing technology that uses everyday consumer devices to make health screening and early risk detection dramatically more accessible. Their long-term vision is to create a trusted, intelligent health platform that combines digital signals, clinical data, and AI-driven decision support to help people identify potential issues earlier and engage with appropriate care pathways.Backed by experienced investors and led by a team with deep expertise in machine learning, biostatistics, and healthcare technology, the company is now entering an exciting phase of product expansion and AI development.The Impact You'll HaveAs a Founding AI Engineer / Data Scientist, you won’t be maintaining existing models—you’ll be helping define what the AI stack becomes.You will contribute to customer-facing capabilities such as:Personalised recommendation systemsMultimodal biomarker estimation using video, audio, text, and behavioural signalsPredictive health modellingAI-powered clinical reasoning and protocol generationFoundational components for future conversational medical agentsYou’ll also help establish the company’s ML infrastructure, deployment practices, and data foundations as the platform scales.Key ResponsibilitiesDesign, train, evaluate, and deploy machine learning models across multimodal datasets.Build production-grade ML systems using Python and PyTorch.Develop recommendation and decision-support capabilities that deliver measurable user value.Work with large, heterogeneous datasets including audio, video, imaging, sensor, and clinical data.Create robust data pipelines and contribute to the overall ML platform architecture.Prototype and integrate modern AI techniques, including agentic and reasoning-based systems.Collaborate closely with product, engineering, and domain experts to translate research into usable features.Help define engineering standards, experimentation practices, and model monitoring processes.Stay current with advances in applied AI, healthcare ML, and production ML tooling.What We're Looking ForMSc or PhD in Machine Learning, Statistics, Computer Science, or a related quantitative discipline.Strong industry experience in applied ML or data science (typically 4+ years, or 1+ year post-PhD).Excellent Python development skills and strong software engineering fundamentals.Hands-on experience with PyTorch or comparable deep learning frameworks.Solid understanding of statistical modelling, machine learning, and experimental design.Experience building or deploying ML systems in production.Familiarity with recommendation systems, signal processing, or multimodal modelling.Comfort working in a fast-moving, high-ownership environment.Strong written and spoken English.DesirableExperience in healthcare, life sciences, or another regulated industry.Published research or significant applied research experience.Experience with LLM orchestration, AI agents, or reasoning architectures.Knowledge of MLOps, model monitoring, and scalable deployment practices.Exposure to clinical or biomedical datasets.Why Join?This is the kind of role where your decisions will matter immediately.You’ll be joining a small, highly capable team that values initiative, curiosity, and practical problem-solving. The environment is designed for people who want to build rather than wait for permission.In return, you’ll get:Genuine ownership of critical AI and data initiatives.Direct access to founders and strategic decision-making.The opportunity to help shape an AI-first healthcare product from an early stage.A mission with clear real-world impact.Exposure to cutting-edge work across multimodal AI, digital health, and conversational systems.A collaborative, low-ego culture focused on learning and execution.