Robotics Salary Guide: Europe Edition

Principal Software Engineer (AI)Our work focuses on delivering innovative technology that creates meaningful, real-world impact. We are united by a shared commitment to developing solutions that help organisations harness the power of data, AI, and advanced software capabilities.We help life sciences and BioPharma organisations unlock the potential of AI and machine learning to improve outcomes and accelerate innovation. Through cloud-based software platforms and specialist services, we support organisations in managing complex scientific and operational data, improving workflows, and enabling smarter decision-making.With decades of expertise in scientific informatics, our solutions help organisations design, execute, and optimise processes, manage and structure data, and generate valuable insights across the product lifecycle—from research and development through to manufacturing.The Principal Software Engineer (AI) will provide technical leadership in the design and delivery of production-grade, GenAI-enabled capabilities across enterprise software platforms. The role focuses on applying large language models (LLMs) to real-world enterprise data, including scientific, clinical, and operational information, to enable AI-driven discoverability, summarisation, reporting, and decision support.Operating at principal level, you will be hands-on, guiding engineering teams through the transition from proof of concept (POC) to early adoption and general release, while helping establish sustainable AI engineering practices across the wider technology organisation.You will collaborate closely with data scientists, domain specialists, and technical teams to deliver intelligent solutions for knowledge extraction, decision support, and workflow automation.In this role, you will have the opportunity to:Lead the delivery of AI-enabled platform capabilities that accelerate insight generation and decision-making across complex enterprise environments.Design and productionise scalable GenAI solutions using approaches such as retrieval augmented generation (RAG), integration frameworks, and selectively applied agentic patterns—balancing capability, cost, performance, and trust.Translate scientific and business requirements into robust AI system designs that integrate effectively with data platforms, workflows, and APIs.Establish engineering best practices for GenAI and LLM applications, including architecture patterns, evaluation approaches, reliability, scalability, and maintainability standards across the AI engineering lifecycle.Act as a technical leader by mentoring engineers, influencing architectural decisions, and supporting successful delivery and adoption of AI capabilities across software platforms.Essential requirements:Experience designing, building, and operating LLM-powered capabilities such as document summarisation, retrieval augmented generation (RAG), and question-answering systems over enterprise datasets.Experience developing AI-ready data foundations, including unstructured data pipelines, metadata extraction and enrichment, and hybrid architectures using vector stores alongside relational databases.Proven ability to deploy AI systems into production environments, including monitoring model behaviour, data drift, cost, and latency.Strong judgment in making pragmatic engineering trade-offs to support reliability, scalability, and enterprise adoption.Experience establishing robust AI operational practices, including versioning of prompts, models, and data, as well as implementing feature flags and controlled rollout strategies.Ability to collaborate effectively with cross-functional partners, provide technical leadership, mentor engineers, and drive delivery in complex environments.Desirable (but not essential):Experience applying GenAI solutions within life sciences, healthcare, scientific, clinical, or regulated environments.Familiarity with building AI capabilities that support knowledge extraction, decision support, and workflow automation across enterprise data ecosystems.Experience with cloud-based platforms and modern data technologies such as Databricks and AWS.Experience defining or contributing to organisational best practices for AI engineering, including evaluation methods, governance frameworks, and scalable adoption approaches for generative and agentic AI.

Senior ASR Engineer (Speech Recognition / Voice AI)$200,000–250,000 equity benefitsRemote / San Francisco, CA (Hybrid)Full-time / PermanentDeepRec has partnered with a healthcare AI startup using conversational AI to reduce admin burden and improve patient experiences. Your work will sit at the centre of every interaction. When the speech system performs well, patients get faster support, clinicians receive better information, and healthcare teams spend less time on manual tasks.This role is for someone who enjoys solving real-world speech problems, not just improving benchmark scores.The OpportunityYou'll own ASR quality across live patient conversations. From noisy phone lines to accented speech and complex healthcare terminology, you'll identify failure patterns, build evaluation systems, and improve transcription performance where it matters most: production.You'll work across ASR, telephony, LLM workflows, and product teams to make every conversation more accurate and reliable.What You'll Do- Own ASR evaluation across live and recorded calls- Diagnose transcription failures and identify root causes- Build benchmarking frameworks and error analysis workflows- Improve recognition of healthcare language and terminology- Compare and evaluate ASR models and vendors- Create dashboards for quality monitoring and performance tracking- Partner with engineering and product teams on improvementsWhat You'll BringEssential- Strong experience with speech recognition or voice AI systems- Deep understanding of ASR evaluation and error analysis- Strong Python skills for ML and audio workflows- Experience diagnosing production AI system failuresDesirable- Experience adapting or fine-tuning ASR models- Background in healthcare, telephony, or regulated environments- Experience with real-time conversational AI systems*We 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- Remote-first role across the US and Europe- Ownership of a business-critical AI capability- Work across ASR, telephony, LLMs, and healthcare AI- Healthcare, dental, vision, 401(k), and flexible paid time off- Opportunity to shape how conversational AI performs in production

Machine Learning Engineer, SpeechLLM Evaluations $250,000 - $350,000 bonus equity San Francisco, CA. Hybrid (3 days onsite)Full-time / PermanentDeepRec has partnered with a high-growth AI company building speech intelligence products used by more than 1.5 million people worldwide. This is a chance to define how their foundational Speech LLMs are measured, improved, and trusted. If you've ever felt model evaluation deserves the same attention as model training, you'll have the space to prove it here.The OpportunityYou'll join an early Speech LLM team where your work shapes research decisions, product quality, and model releases. You'll own the systems that answer one of the hardest questions in AI: how do you measure something as human as conversation, expression, and understanding?What You'll Do- Build evaluation frameworks for speech and conversational AI models- Define benchmarks for transcription, audio quality, and dialogue performance- Create automated evaluation pipelines for training checkpoints- Own dashboards that surface model health and regressions- Partner with researchers to translate capabilities into measurable outcomes- Investigate unexpected performance changes during model training- Improve evaluation speed, quality, and reliability across the research lifecycleWhat You'll BringEssential- Strong Python engineering experience in production environments- Experience building ML evaluation, data, or experimentation systems- Deep understanding of statistics, benchmarking, and model performance analysis- Ability to explain technical findings to varied audiencesDesirable- Experience with speech metrics such as WER, CER, PESQ, or MOS- Familiarity with LLM-as-a-Judge evaluation methods- Experience with ML observability tools such as Weights & Biases or MLflow*We 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- Foundational role within a growing Speech LLM research team- Ownership of evaluation strategy and technical direction- Work on problems spanning ML, statistics, software, and research- Comprehensive healthcare, 401(k) matching, parental leave, and unlimited PTO- Conference, learning, and career development support- Direct influence on products used by a global customer base

AI Engineer:Contract/Freelance We're looking for an AI Engineer to help deliver the next generation of intelligent applications, combining LLMs, AI agents and modern cloud technologies to solve complex business challenges.Contract Details• Initial 6-month contract• Strong likelihood of extension beyond the initial engagement• Fully remote• Candidates must be based in Europe• Day rate: €300–€325 per day, depending on experienceThe RoleThis is a hands-on engineering role focused on building robust, scalable AI solutions rather than experimentation. You'll be designing agentic workflows, integrating AI into enterprise systems, and developing production-ready applications that make effective use of large language models and retrieval-based architectures.What You'll Bring:• Strong Python software engineering experience in production environments• Proven experience building applications with LLMs, including prompt design, tool usage, structured outputs and performance optimisation• Experience developing AI agents and orchestrating complex workflows• Knowledge of RAG architectures, vector search and contextual AI techniques• Experience integrating with APIs, enterprise platforms and cloud services• Understanding of AI reliability, evaluation, security and governance best practices• Experience with Azure AI technologies and Microsoft ecosystem integrations• Experience working with modern data pipelines and cloud-based data platforms• Ability to work closely with technical and business stakeholders to translate requirements into working solutionsDesirable:• Exposure to multimodal AI, computer vision or audio-based models• Knowledge of MLOps, model lifecycle management and deployment practices• Previous experience delivering AI solutions within people, talent or workforce-focused environmentsThis is an excellent opportunity for a contractor who enjoys building practical AI solutions, working with emerging technologies, and helping shape how organisations adopt intelligent systems at scale.

AI Engineer:Contract/Freelance We're looking for an AI Engineer to help deliver the next generation of intelligent applications, combining LLMs, AI agents and modern cloud technologies to solve complex business challenges.Contract Details• Initial 6-month contract• Strong likelihood of extension beyond the initial engagement• Fully remote• Candidates must be based in Europe• Day rate: €300–€325 per day, depending on experienceThe RoleThis is a hands-on engineering role focused on building robust, scalable AI solutions rather than experimentation. You'll be designing agentic workflows, integrating AI into enterprise systems, and developing production-ready applications that make effective use of large language models and retrieval-based architectures.What You'll Bring:• Strong Python software engineering experience in production environments• Proven experience building applications with LLMs, including prompt design, tool usage, structured outputs and performance optimisation• Experience developing AI agents and orchestrating complex workflows• Knowledge of RAG architectures, vector search and contextual AI techniques• Experience integrating with APIs, enterprise platforms and cloud services• Understanding of AI reliability, evaluation, security and governance best practices• Experience with Azure AI technologies and Microsoft ecosystem integrations• Experience working with modern data pipelines and cloud-based data platforms• Ability to work closely with technical and business stakeholders to translate requirements into working solutionsDesirable:• Exposure to multimodal AI, computer vision or audio-based models• Knowledge of MLOps, model lifecycle management and deployment practices• Previous experience delivering AI solutions within people, talent or workforce-focused environmentsThis is an excellent opportunity for a contractor who enjoys building practical AI solutions, working with emerging technologies, and helping shape how organisations adopt intelligent systems at scale.

AI Engineer:Contract/Freelance We're looking for an AI Engineer to help deliver the next generation of intelligent applications, combining LLMs, AI agents and modern cloud technologies to solve complex business challenges.Contract Details• Initial 6-month contract• Strong likelihood of extension beyond the initial engagement• Fully remote• Candidates must be based in Europe• Day rate: €300–€325 per day, depending on experienceThe RoleThis is a hands-on engineering role focused on building robust, scalable AI solutions rather than experimentation. You'll be designing agentic workflows, integrating AI into enterprise systems, and developing production-ready applications that make effective use of large language models and retrieval-based architectures.What You'll Bring:• Strong Python software engineering experience in production environments• Proven experience building applications with LLMs, including prompt design, tool usage, structured outputs and performance optimisation• Experience developing AI agents and orchestrating complex workflows• Knowledge of RAG architectures, vector search and contextual AI techniques• Experience integrating with APIs, enterprise platforms and cloud services• Understanding of AI reliability, evaluation, security and governance best practices• Experience with Azure AI technologies and Microsoft ecosystem integrations• Experience working with modern data pipelines and cloud-based data platforms• Ability to work closely with technical and business stakeholders to translate requirements into working solutionsDesirable:• Exposure to multimodal AI, computer vision or audio-based models• Knowledge of MLOps, model lifecycle management and deployment practices• Previous experience delivering AI solutions within people, talent or workforce-focused environmentsThis is an excellent opportunity for a contractor who enjoys building practical AI solutions, working with emerging technologies, and helping shape how organisations adopt intelligent systems at scale.

We're partnering with an innovative quantum technology company looking for a Quantum Success Engineer to help world-leading research teams get the most from cutting-edge quantum control systems.This role sits at the intersection of advanced technology and customer success. You'll work directly with researchers and engineers, helping them deploy, integrate and optimise complex hardware and software solutions that power next-generation quantum computing experiments.What You'll DoSupport customers throughout onboarding, installation and system integration.Deliver technical training, both remotely and onsite.Provide expert support to help customers overcome technical challenges and accelerate their research.Build strong, trusted relationships with customers across academia and industry.Gather customer feedback and act as the voice of the customer internally.Collaborate with product, engineering and leadership teams to influence future product development.What We're Looking ForPhD in Experimental Physics, or a Master's degree with relevant industry experience.Background in microwave, RF or experimental physics environments.Experience working with embedded systems through research, projects or industry.Strong Python programming skills.Excellent communication skills and a customer-focused mindset.A natural problem solver who enjoys working closely with technical users.Previous experience in customer-facing, applications engineering, field engineering or customer success roles is advantageous.Fluency in professional English.Why Join?Work at the forefront of one of the world's most exciting technologies.Collaborate with leading researchers, scientists and engineers.Influence product direction through direct customer engagement.Hybrid working model with strong flexibility.Competitive salary, long-term incentive opportunities and generous pension contributions.Relocation and visa sponsorship support available.Join a fast-growing international business where your work has visible impact.If you're passionate about quantum technology, enjoy solving complex technical challenges, and thrive in customer-facing environments, we'd love to hear from you.

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