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

Job Title: Data Science Consultant (GenAI & AI Consulting) Location: London (Hybrid)Roles: MultipleSeniority: Junor to Experienced  The Opportunity Work at the intersection of Data Science and GenAI — not just using AI tools, but shaping how they are evaluated, trusted, and delivered to enterprise clients. This is a consulting role for Data Scientists who can go beyond models and clearly explain why they work, how they’re validated, and the business impact they drive. The RoleDeliver end-to-end Data Science and GenAI solutionsBuild and evaluate ML and LLM-based modelsDefine metrics, validation approaches, and evaluation frameworksTranslate complex AI outputs into clear business insightsWork on PoCs, prototypes, and client-facing innovation projects(Senior/Managing) Lead stakeholders and mentor junior consultantsWhat You’ll BringStrong Python and Machine Learning foundationsExperience across the full Data Science lifecycleSolid understanding of model evaluation, validation, and accuracy metricsExposure to GenAI (LLMs, agentic AI, or similar)Ability to confidently explain technical concepts to clientsConsulting or client-facing experience preferredWhat Makes You Stand OutYou understand why models perform the way they doYou can challenge outputs, not just generate themYou can link AI solutions to real business value and ROIBenefitsBonus schemeUp to 10% pensionPrivate medical25 days holiday option to buy moreLife assurance & income protectionFunded certifications

Senior AI Engineer, Production LLM SystemsWe are hiring a Senior AI Engineer to build production grade LLM systems for real client environments. This is a hands on role for someone who has moved beyond prototypes and knows how to design, ship and improve AI products that work reliably in production.Responsibilities• Design and build LLM applications, agentic workflows, RAG pipelines and backend services.• Build with Python, FastAPI, LangGraph, LangChain, vector databases and APIs from OpenAI, Anthropic, Gemini or similar providers.• Own AI evaluation and reliability, including output testing, failure tracing, quality measurement and regression workflows.• Improve prompts, debug retrieval, monitor system behaviour and make LLM systems observable in production.• Work closely with clients to turn unclear business problems into practical technical solutions.• Support discovery, technical scoping, architecture decisions and hands on delivery across client projects.What we are looking for• Experience building production LLM systems, not just prototypes or demos.• Strong hands on Python and backend engineering experience.• Experience with RAG, agents, evals, observability and LLM application reliability.• Familiarity with Docker, cloud deployment and modern software engineering practices.• Ability to communicate clearly with technical teams, founders and client stakeholders.• Someone who enjoys system design, technical problem solving and moving quickly in small teams.Location• Remote within Germany, with occasional travel.

Job Title: Data Science Consultant (GenAI & AI Consulting) Location: London (Hybrid)Roles: MultipleSeniority: Junor to Experienced  The Opportunity Work at the intersection of Data Science and GenAI — not just using AI tools, but shaping how they are evaluated, trusted, and delivered to enterprise clients. This is a consulting role for Data Scientists who can go beyond models and clearly explain why they work, how they’re validated, and the business impact they drive. The RoleDeliver end-to-end Data Science and GenAI solutionsBuild and evaluate ML and LLM-based modelsDefine metrics, validation approaches, and evaluation frameworksTranslate complex AI outputs into clear business insightsWork on PoCs, prototypes, and client-facing innovation projects(Senior/Managing) Lead stakeholders and mentor junior consultantsWhat You’ll BringStrong Python and Machine Learning foundationsExperience across the full Data Science lifecycleSolid understanding of model evaluation, validation, and accuracy metricsExposure to GenAI (LLMs, agentic AI, or similar)Ability to confidently explain technical concepts to clientsConsulting or client-facing experience preferredWhat Makes You Stand OutYou understand why models perform the way they doYou can challenge outputs, not just generate themYou can link AI solutions to real business value and ROIBenefitsBonus schemeUp to 10% pensionPrivate medical25 days holiday option to buy moreLife assurance & income protectionFunded certifications

SummaryAn innovative quantum technology company is seeking a Quantum Applications Scientist to bridge the gap between advanced quantum hardware and the researchers using it.This is a highly technical, customer-facing role combining quantum computing expertise, product demonstrations, business development support, and customer engagement. You'll work closely with commercial, product, and engineering teams while engaging directly with leading research groups and organisations across the quantum ecosystem. Key ResponsibilitiesAct as a technical expert in quantum computing, quantum control, and quantum hardware systems.Conduct experiments and validate hardware capabilities against customer requirements.Lead technical discussions with customers to understand research challenges and identify solutions.Support sales activities through technical presentations, proposals, and product demonstrations.Gather customer feedback and market insights to help shape future product development.Represent the company at conferences, workshops, and customer sites worldwide. RequirementsPhD in Physics, Quantum Computing, Quantum Engineering, or a related field.Hands-on experience with experimental quantum computing systems, particularly qubit control and readout.Experience operating and troubleshooting complex laboratory setups involving RF, microwave, cryogenic, and electronic instrumentation.Strong Python programming skills for automation, control, and data analysis.Excellent communication skills with the ability to explain complex technical concepts clearly.Strong problem-solving ability and a collaborative mindset.Nice to HaveExperience in applications engineering, sales engineering, or customer-facing technical roles.Familiarity with the commercial quantum technology landscape.Experience presenting research or technology to external audiences. Benefits & OpportunityWork with cutting-edge quantum computing technologies and leading research organisations.Influence product development through direct interaction with customers and users.International travel and visibility within the global quantum ecosystem.Competitive compensation, equity participation, and relocation support.Join a fast-growing deep-tech company helping shape the future of quantum computing.

Multimodal LLM Researcher$300,000 - $400,000 Remote, Palo AltoFull-time / PermanentDeepRec has partnered with a high-growth generative AI company (Series B, $130M raised). They're building multimodal, multi-agent systems that combine language, vision, audio, and video. If you've been looking for a role where your research reaches production and shapes how millions interact with creative AI, this is worth a closer look.You'll help define the next generation of multimodal AI systems. Your work will span research, experimentation, and deployment, with a focus on real-time performance, multimodal reasoning, and agent-based workflows. You'll have the freedom to explore ambitious ideas while working alongside engineers who can bring them into production.What You'll Do- Lead research across LLMs, VLMs, and Audio Language Models- Design novel multimodal model architectures and training approaches- Improve real-time inference across text, image, audio, and video- Train and fine-tune autoregressive and diffusion models- Build and curate high-quality multimodal datasets- Collaborate with engineering teams to deploy research outcomes- Publish findings at leading AI conferences and journalsWhat You'll BringEssential- Strong research track record in multimodal AI or foundation models- First-author publications at recognised ML, vision, or audio conferences- Deep expertise in LLMs, VLMs, Audio LMs, or related fields- Strong Python and deep learning experience using modern frameworksDesirable- Experience with diffusion models or world models- Background in real-time AI systems and model serving- Experience building large-scale multimodal datasetsWe encourage you to apply even if you don't meet every requirement. The right mindset matters as much as the right CV.What's In It For You- USD 300,000–400,000 salary- Fully remote working arrangement- Ownership of research that shapes production systems- Opportunity to publish and contribute to the field- Direct collaboration with product and engineering leadershipThis role offers the chance to work on multimodal AI problems that sit at the intersection of research and real-world deployment. If you're excited by advancing the field while seeing your work reach users, we'd love to hear from you.

SummaryAn innovative quantum technology company is seeking a Quantum Applications Scientist to bridge the gap between advanced quantum hardware and the researchers using it.This is a highly technical, customer-facing role combining quantum computing expertise, product demonstrations, business development support, and customer engagement. You'll work closely with commercial, product, and engineering teams while engaging directly with leading research groups and organisations across the quantum ecosystem. Key ResponsibilitiesAct as a technical expert in quantum computing, quantum control, and quantum hardware systems.Conduct experiments and validate hardware capabilities against customer requirements.Lead technical discussions with customers to understand research challenges and identify solutions.Support sales activities through technical presentations, proposals, and product demonstrations.Gather customer feedback and market insights to help shape future product development.Represent the company at conferences, workshops, and customer sites worldwide. RequirementsPhD in Physics, Quantum Computing, Quantum Engineering, or a related field.Hands-on experience with experimental quantum computing systems, particularly qubit control and readout.Experience operating and troubleshooting complex laboratory setups involving RF, microwave, cryogenic, and electronic instrumentation.Strong Python programming skills for automation, control, and data analysis.Excellent communication skills with the ability to explain complex technical concepts clearly.Strong problem-solving ability and a collaborative mindset.Nice to HaveExperience in applications engineering, sales engineering, or customer-facing technical roles.Familiarity with the commercial quantum technology landscape.Experience presenting research or technology to external audiences. Benefits & OpportunityWork with cutting-edge quantum computing technologies and leading research organisations.Influence product development through direct interaction with customers and users.International travel and visibility within the global quantum ecosystem.Competitive compensation, equity participation, and relocation support.Join a fast-growing deep-tech company helping shape the future of quantum computing.

SummaryA cutting-edge deep-tech company developing advanced computing systems is seeking a Software Engineer to help build and optimise the core software platform that interfaces with highly specialised hardware.This is an opportunity to work on complex, performance-critical systems at the intersection of software, hardware, and scientific research. The successful candidate will contribute to the development of low-latency control and orchestration software used in production environments, collaborating closely with engineering, hardware, and research teams. Key ResponsibilitiesDesign, develop, and optimise core systems software using Python, C , and/or Rust.Own critical platform components and drive improvements in performance, reliability, scalability, and operability.Develop low-latency interfaces between specialised hardware platforms and classical compute infrastructure.Collaborate with hardware and research teams to integrate new technologies from prototype through to production deployment.Build and improve CI/CD pipelines, deployment tooling, monitoring, and observability capabilities.Profile and optimise system performance, identifying bottlenecks and implementing measurable improvements.Contribute to software architecture decisions, technical design reviews, and engineering best practices.Improve code quality through testing, code reviews, and maintainable software design.Work cross-functionally to translate product and customer requirements into robust software solutions. RequirementsStrong software engineering fundamentals with experience delivering production systems.Excellent Python skills, with experience in C and/or Rust being highly desirable.Experience in one or more of the following areas:Low-latency systemsLinux systems programmingHigh-performance networkingEmbedded softwareGPU programmingHardware/software integrationFamiliarity with modern software development practices including Git, testing, code reviews, and CI/CD.Experience debugging, profiling, and optimising complex software systems.Degree in Computer Science, Physics, Engineering, Mathematics, or a related quantitative discipline (or equivalent experience).Experience working within commercial technology organisations, scientific computing environments, or deep-tech companies.Desirable ExperienceIntegration of hardware-adjacent systems within on-premise or data-centre environments.Knowledge of data acquisition, digital signal processing, timing synchronisation, telecommunications, or RF systems.Experience with observability and monitoring platforms.Exposure to scientific instrumentation, advanced computing platforms, or quantum technologies. Benefits & OpportunityWork on highly innovative next-generation computing technologies.Collaborate with multidisciplinary teams spanning software, hardware, and scientific research.Influence the architecture and direction of complex production systems.Opportunity to solve challenging engineering problems involving performance, scalability, and hardware integration.Hybrid working environment with a strong focus on technical ownership, collaboration, and career development.