Robotics Salary Guide: Europe Edition

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.

Senior Agentic AI Engineer$300,000 - $400,000Remote / Hybrid, Palo Alto Full time / PermanentA well-known, frontier GenAI company (Series B, $130M raised) is undergoing a major product pivot. They're moving from single-modal generative experiences toward a consumer-facing, multimodal, multi-agent ecosystem designed to feel genuinely autonomous, useful, and alive.They’re building the core infrastructure that will define how millions of users interact with AI agents daily. From planning and execution to memory, creativity, and proactive behaviour. This role sits at the heart of this shift: designing and shipping the systems that make intelligent agents function for 1M users.What You’ll DoDesign and evolve the agent runtime, the core loop handling reasoning, tool use, planning, memory retrieval, and response generationBuild and ship agent capabilities across modalities (e.g. image/video, voice, browsing, code execution)Own LLM orchestration and model routing across multiple providers, optimising latency, cost, reliability, and qualityImplement memory systems that allow agents to learn from interactions (long-term memory, episodic recall, semantic retrieval)Prototype and productionize autonomous behaviours such as proactive task execution, scheduling, and goal-directed workflowsCreate evaluation frameworks and metrics that measure agent quality, personality consistency, and real user impactWhat Great Looks LikeYou’ve personally built and shipped agentic systems, not just prompt wrappers or demosYou’re comfortable owning ambiguous, greenfield problems and turning ideas into working product fastYou think in systems: distributed workflows, multi-step reasoning, orchestration, reliabilityYou code daily and care deeply about performance, UX feel, and real-world usefulnessWhy JoinJoin at a genuine product inflection point, early access launch, new architecture direction, and strong internal momentumWork in a small, elite engineering cohort where each senior hire has outsized ownership and influenceHelp define the company’s next-generation agent platform and model infrastructure from the ground upCollaborate closely with product leadership and shape how consumer AI agents evolve in the real worldClear trajectory toward technical leadership and founding-level impact as the organisation scalesIf you’ve built real agent systems and want to work on problems that don’t have playbooks yet, please apply with your resume!

Contract Full Stack Engineer – Next.js & AI Systems (Remote EU) We’re supporting a fast-growing AI product team who are looking for a Contract Full Stack Engineer to help them take an early-stage platform from prototype through to a scalable, production-ready MVP. The product is already up and running with a working UI, design system and initial architecture in place. The next phase is all about scaling the system properly, particularly across backend architecture, AI agent workflows, and evaluation/feedback loops. What you’ll be working onBuilding and extending features in a Next.js-based applicationHelping define and evolve backend and system architectureDesigning and improving AI agent workflows and orchestrationBuilding evaluation frameworks, feedback loops, and quality measurement for LLM outputsSupporting the transition from prototype to scalable MVPWorking closely with product and engineering stakeholders day-to-dayTech stackReact/Next.jsPostgres / SupabaseArize PhoenixFlexible backend approach (still being shaped)What we’re looking for:Strong Full Stack engineering experience in production environmentsHands-on experience with AI-enabled products, LLM workflows, or agent-based systemsFamiliarity with evaluation, prompt testing, or LLM quality measurement is importantExposure to LangGraph, Langfuse, and LangSmith would be highly relevantExperience with MCP-style infrastructure or tool orchestration patterns (e.g. caching/retrieval layers such as mcp-refcache) Comfortable working in fast-moving, product-led environmentsExperience working in AI-native setups (e.g. using tools like Claude Code) is a plusThere is a strong alignment with candidates who have worked across the LangGraph / Langfuse / LangSmith ecosystem. Experience building or contributing to MCP-style infrastructure patterns is particularly relevant given the direction of the platform. Contract details:3-month contractRemote (EU-based)Occasional fully expensed travel for in-person collaboration sessions

SVP, Site Reliability Engineering (AI-Native SaaS Platform) Remote We’re hiring an experienced, hands-on SVP of Site Reliability Engineering to lead reliability, incident response, and AI-driven operations for a fast-scaling enterprise SaaS platform. This is a high-impact leadership role focused on building and evolving an AI-first SRE function where automation, agentic workflows, and intelligent remediation are central to the operating model. You’ll lead a small team of senior engineers responsible for platform uptime, customer experience, observability, incident management, and auto-remediation systems across a large-scale AWS environment. This role requires a technical leader who remains close to the code, drives critical incident response, and partners directly with executive leadership and enterprise customers. What We’re Looking For10 years in SaaS infrastructure, SRE, DevOps, or platform engineeringProven leadership experience at VP/SVP/Head of Engineering levelDeep expertise in AWS, cloud-native infrastructure, distributed systems, and multi-region production environmentsStrong background in AIOps, agentic automation, auto-remediation, and AI-driven incident responseHands-on experience with observability and incident management platforms such as Grafana, Prometheus, Datadog, PagerDuty, Loki, or similarStrong coding and automation skills with a passion for operational excellenceExperience improving uptime, MTTR, reliability, and customer satisfaction at scaleExecutive communication skills with enterprise customer-facing experienceComfortable operating in a fast-paced, high-ownership, fully remote environment Please apply for more information