We're working exclusively with a well-funded, venture-backed AI software company that's transforming complex enterprise workflows through applied AI. As part of its next phase of growth, the company is looking for a Senior Engineer to own the document intelligence layer that powers its core platform. This is a high-impact engineering role focused on building reliable systems that convert complex, real-world documents into structured data used by AI applications in production. If you enjoy solving difficult problems around OCR, document parsing, extraction quality and data reliability, this is an opportunity to own a mission-critical area of the product. What you'll be working onDesigning and improving OCR and document extraction pipelinesBuilding systems that process PDFs, spreadsheets, scanned documents, images and other structured and unstructured dataImproving extraction accuracy, reliability and performance across production workloadsDeveloping validation frameworks, confidence scoring and quality assurance toolingPartnering with AI engineers to prepare high-quality data for LLM-powered workflowsInvestigating extraction failures and continuously improving system performanceBuilding monitoring, evaluation and observability tools for document processing pipelinesWorking closely with product and domain experts to support increasingly complex customer workflows  We're looking for someone with5 years of software engineering experienceStrong backend engineering fundamentalsExperience building production document processing, OCR, ETL or data extraction systemsExperience working with PDFs, spreadsheets, scanned images or other document formatsStrong debugging skills and an obsession with data quality and correctnessAbility to work independently and take ownership of critical platform components Nice to haveExperience with OCR, Computer Vision, Document AI or information extraction technologiesExperience integrating LLMs into production document workflowsExposure to financial services, accounting, legal technology, insurance or other document-heavy industriesExperience building evaluation frameworks or quality measurement systemsExperience operating large-scale document processing pipelines Why this opportunity?Own a core platform capability that directly impacts product quality and customer experienceSolve technically challenging problems involving OCR, document intelligence and AIWork alongside experienced engineers in an AI-native environmentHigh levels of ownership with significant technical influenceCompetitive compensation, meaningful equity and the opportunity to build technology used in production by enterprise customers

We're partnering with a well-funded, venture-backed AI software company that's building cutting-edge products at the intersection of AI, automation and enterprise workflows.As the business scales rapidly, they're looking to hire a Senior Software Engineer to build the internal AI systems that enable the company to operate faster, smarter and with significantly more leverage.This isn't a customer-facing product engineering role. Instead, you'll work directly with leadership and cross-functional teams to identify operational bottlenecks and build AI-powered tools that eliminate manual work across the business.What you'll be working onDesigning and building internal AI applications that improve company-wide productivityDeveloping LLM-powered tools for knowledge management, recruiting, customer operations and business workflowsAutomating repetitive processes across Sales, Customer Success, Operations, Product and ImplementationIntegrating internal systems including Slack, CRM platforms, ticketing systems, documentation and workflow toolsBuilding intelligent reporting, search and decision-support systemsPartnering directly with internal stakeholders to understand problems and rapidly ship solutionsUsing modern AI tooling, agents and automation frameworks to create leverage across the organisationWe're looking for someone with5 years of software engineering experienceStrong backend and/or full-stack development experienceExperience building internal platforms, automation tooling or AI-enabled applicationsHands-on experience with LLMs, AI agents, workflow automation or API integrationsStrong product mindset with the ability to understand business problems and translate them into softwareComfortable working autonomously in a fast-moving, ambiguous environmentExcellent communication skills and high ownershipNice to haveExperience building AI tooling for internal business operationsFamiliarity with Slack, CRMs, Linear, Notion, Confluence or similar internal platformsExperience working in a high-growth startup environmentExposure to RevOps, Customer Success systems, recruiting technology or business operationsA track record of turning manual processes into scalable softwareWhy this opportunity?Build AI products that have an immediate impact across an entire businessWork directly alongside experienced founders and senior leadershipHigh levels of autonomy with real ownership from day oneOpportunity to shape how an AI-native company scales internallyCompetitive salary, meaningful equity and the chance to work on genuinely challenging engineering problems

We're partnering with a well-funded, venture-backed AI software company that's building mission-critical AI products for enterprise customers. They're looking for a Senior Engineer to join the team responsible for their flagship AI product, helping build production-grade AI systems that solve complex, real-world workflows where accuracy, reliability and trust are essential. This is an opportunity to work on far more than prompt engineering—you'll design, build and scale agentic AI systems that customers depend on every day. What you'll be working onBuilding and shipping production LLM-powered product featuresDesigning agentic workflows capable of solving complex, multi-step business problemsImproving retrieval, reasoning, orchestration and AI system reliabilityDeveloping robust RAG pipelines, tool-calling frameworks and evaluation systemsPartnering closely with product teams and domain experts to translate customer workflows into AI-native experiencesBuilding AI systems that perform reliably in production—not just impressive demosInvestigating AI failure modes and continuously improving model performance and user experienceCollaborating with platform engineers to improve observability, scalability and reliability  We're looking for someone with5 years of software engineering experienceStrong backend and/or full-stack engineering fundamentalsExperience building production software productsHands-on experience with LLMs, AI agents, RAG, workflow orchestration or AI-enabled applicationsStrong product mindset with the ability to solve ambiguous customer problemsComfortable working cross-functionally with engineers, product managers and domain expertsHigh ownership and excellent communication skillsNice to haveExperience building production LLM applications at scaleExperience with agent frameworks, retrieval systems, evaluation frameworks or tool-calling architecturesExperience working in regulated or high-trust industries such as financial services, legal technology, compliance or enterprise SaaSExperience building AI products around complex document workflowsPrevious startup experience in a fast-paced engineering environmentWhy this opportunity?Build AI products used by real enterprise customers every daySolve genuinely difficult problems in applied AI—not experimental prototypesWork alongside experienced engineers in an AI-native companyHigh ownership with direct influence over the product roadmapCompetitive salary, meaningful equity and significant technical impact from day one

AI Team LeadRobotics | Computer Vision | Embodied AIWe're working with one of Europe's most exciting robotics startups, building intelligent robotic systems that are already being deployed into real manufacturing environments.Following significant growth, they're looking for an experienced AI Team Lead to take ownership of a multidisciplinary AI function focused on computer vision, perception and machine learning for real-world robotics.You'll lead a team of around nine AI engineers while remaining close to the technology - reviewing code, making architectural decisions, mentoring engineers, and helping solve complex technical problems when needed. The team is highly technical, so credibility comes from your ability to lead by example as much as your management experience.What you'll be doingLeading, mentoring and developing a growing team of AI engineersDriving technical direction across perception, computer vision and machine learningConducting code reviews and providing technical guidance across the teamHiring, performance managing and coaching engineersWorking closely with robotics and software teams to deliver production-ready AI systemsDefining engineering standards, best practices and development processesSupporting the deployment of AI models onto real robotic hardwareHelping shape the long-term AI roadmap alongside senior engineering leadershipWe're looking for someone who hasPrevious experience leading an AI, Machine Learning or Computer Vision engineering teamA strong background in Computer Vision and deep learningExperience building production ML systems rather than purely research projectsStrong Python and PyTorch experienceExperience working with multimodal data and large-scale datasetsExposure to robotics, embedded systems or hardware-focused AI applicationsConfidence reviewing code and supporting engineers with technical challengesExperience hiring, mentoring and managing performance within engineering teamsBonus points forRobotics or embodied AI experience3D perception or sensor fusionROS2, Docker or KubernetesNVIDIA edge platformsSynthetic data or simulationCloud infrastructure and MLOps toolingWhy join?This is an opportunity to shape the AI capability of a rapidly growing robotics company solving genuinely difficult engineering problems.You'll join a business with real customers, production deployments and ambitious growth plans, working alongside an experienced leadership team with the autonomy to influence both technology and team direction.If you're an experienced technical leader who still enjoys getting into the code and wants to build AI that operates on real robots rather than prototypes, we'd love to hear from you.Interested? Apply now for a confidential discussion to learn more about the company, technology and opportunity.

Principal Embedded Engineer / Embedded Software ArchitectMunich, Germany (Hybrid)€100,000 – €130,000 BenefitsWe are currently supporting an innovative and rapidly growing engineering business in Munich that is looking to hire a Principal Embedded Engineer / Embedded Software Architect to play a key role in shaping the future of their embedded software platform.This is a critical senior-level hire within the organisation and offers the opportunity to take ownership of software architecture while remaining hands-on with implementation and technical delivery.The company is experiencing significant growth and is looking for a strong technical leader who can drive architectural decisions, influence engineering direction, and work closely with multidisciplinary teams to deliver high-performance embedded systems.The RoleAs a Principal Embedded Engineer / Embedded Software Architect, you will be responsible for leading the software architecture across complex embedded platforms while contributing directly to implementation activities.You will work closely with engineering teams to define software strategies, establish architectural standards, monitor system design, and ensure successful delivery across the software lifecycle.This role is ideal for someone who enjoys combining technical leadership with hands-on engineering and wants to have a genuine impact on product and platform development.Key ResponsibilitiesDefine and drive embedded software architecture strategyLead architectural design and implementation activitiesDevelop and monitor system and static software architectureCollaborate closely with cross-functional engineering teamsProvide technical leadership and mentorshipSupport hands-on embedded software development activitiesCommunicate architectural decisions and technical direction across teamsDrive delivery and ensure engineering quality standards are maintainedRequired ExperienceStrong commercial experience with Embedded C/C Experience with PythonMinimum 5 years’ experience in Embedded Software EngineeringMinimum 2 years’ experience in a Technical Leadership or Software Architecture roleStrong understanding of embedded systems architectureProven experience defining and monitoring software architectureExcellent communication and stakeholder management skillsStrong problem-solving and delivery-focused mindsetAbility to operate in a hands-on technical leadership capacityDesirable BackgroundsCandidates from a variety of industries are encouraged to apply, including:Medical DevicesAerospaceSpaceRailIndustrial SystemsHigh-performance embedded environmentsPlease note: AUTOSAR-focused backgrounds are not the primary fit for this position.What’s on OfferOpportunity to join a fast-growing engineering organisationHigh-impact principal-level positionHybrid working model based in MunichLong-term growth and progression opportunitiesCompetitive salary package of €100,000 – €130,000Collaborative and highly technical engineering environmentIf you are an experienced Embedded Software Architect or Principal Embedded Engineer looking for a position where you can combine architecture ownership, technical leadership, and hands-on engineering, please apply for further information.

AI Team LeadRobotics | Computer Vision | Embodied AIWe're working with one of Europe's most exciting robotics startups, building intelligent robotic systems that are already being deployed into real manufacturing environments.Following significant growth, they're looking for an experienced AI Team Lead to take ownership of a multidisciplinary AI function focused on computer vision, perception and machine learning for real-world robotics.You'll lead a team of around nine AI engineers while remaining close to the technology - reviewing code, making architectural decisions, mentoring engineers, and helping solve complex technical problems when needed. The team is highly technical, so credibility comes from your ability to lead by example as much as your management experience.What you'll be doingLeading, mentoring and developing a growing team of AI engineersDriving technical direction across perception, computer vision and machine learningConducting code reviews and providing technical guidance across the teamHiring, performance managing and coaching engineersWorking closely with robotics and software teams to deliver production-ready AI systemsDefining engineering standards, best practices and development processesSupporting the deployment of AI models onto real robotic hardwareHelping shape the long-term AI roadmap alongside senior engineering leadershipWe're looking for someone who hasPrevious experience leading an AI, Machine Learning or Computer Vision engineering teamA strong background in Computer Vision and deep learningExperience building production ML systems rather than purely research projectsStrong Python and PyTorch experienceExperience working with multimodal data and large-scale datasetsExposure to robotics, embedded systems or hardware-focused AI applicationsConfidence reviewing code and supporting engineers with technical challengesExperience hiring, mentoring and managing performance within engineering teamsBonus points forRobotics or embodied AI experience3D perception or sensor fusionROS2, Docker or KubernetesNVIDIA edge platformsSynthetic data or simulationCloud infrastructure and MLOps toolingWhy join?This is an opportunity to shape the AI capability of a rapidly growing robotics company solving genuinely difficult engineering problems.You'll join a business with real customers, production deployments and ambitious growth plans, working alongside an experienced leadership team with the autonomy to influence both technology and team direction.If you're an experienced technical leader who still enjoys getting into the code and wants to build AI that operates on real robots rather than prototypes, we'd love to hear from you.Interested? Apply now for a confidential discussion to learn more about the company, technology and opportunity.

We are looking for an experienced Data Engineer to join a growing data and AI team, helping to build modern data solutions that support advanced analytics and machine learning.This role centres on building robust data ingestion pipelines within Snowflake and delivering predictive analytics using Snowflake Cortex. While the majority of machine learning will leverage Snowflake's managed ML capabilities, there will also be opportunities to develop bespoke Python models where business requirements extend beyond native functionality.You will play a key role in designing scalable data engineering solutions, preparing high-quality datasets, and ensuring production-ready machine learning outputs are delivered to downstream applications.Key ResponsibilitiesDesign, build and maintain scalable data ingestion pipelines into Snowflake from structured and time-series data sources.Develop predictive analytics solutions using Snowflake Cortex, including forecasting, anomaly detection and classification.Prepare machine learning datasets through feature engineering, windowed aggregations and time-series transformations.Develop custom machine learning models using Python and Snowpark (including scikit-learn, XGBoost and LightGBM) where native Snowflake capabilities are not suitable.Integrate machine learning outputs into downstream applications and analytics platforms.Monitor and maintain production data pipelines and machine learning solutions, including data quality, model refreshes and performance monitoring.Optimise Snowflake performance and ensure data engineering best practices are followed.Required Skills & ExperienceStrong commercial experience with Snowflake, including SQL, Streams, Tasks, Snowpipe and performance optimisation.Experience using Snowflake Cortex ML capabilities for forecasting, anomaly detection and classification.Strong Python development skills, including Snowpark.Experience building data pipelines and preparing datasets for machine learning.Knowledge of time-series data processing and feature engineering techniques.Experience developing machine learning models using libraries such as scikit-learn, XGBoost or LightGBM.Understanding of production monitoring, data quality and model lifecycle management.Desirable ExperienceExperience with Snowflake ML features such as Model Registry and Feature Store.Knowledge of Azure Data Lake, Microsoft Fabric or other modern cloud data platforms.Familiarity with Snowflake AI capabilities such as AISQL, Cortex Search or related technologies.

Location: London (Hybrid - 3 days a week on site)Contract: Long-term ContractWe're recruiting for a leading global technology organisation seeking a Research Engineer to join a world-class AI research team working on large language models, AI agents and next-generation machine learning systems.ResponsibilitiesDesign, build and evaluate large-scale machine learning systems.Develop AI agents and LLM-based solutions using Python and PyTorch.Run experiments on large models and datasets.Collaborate with researchers and engineers to deliver cutting-edge AI solutions.Contribute high-quality, production-ready code in a fast-paced research environment.Required ExperienceStrong Python development skills.Hands-on experience with PyTorch or similar ML frameworks.Experience working with machine learning models at scale.Exposure to LLMs, Generative AI or AI agents.Bachelor's, Master's or PhD in Computer Science, Machine Learning, Mathematics, Physics or a related technical field.Strong problem-solving skills with the ability to execute in a research-driven environment.Nice to HavePhD or research-focused Master's.Experience in ML research, AI startups or leading technology companies.Experience with LLM post-training or agentic AI.What's on OfferOpportunity to work on cutting-edge AI research.Collaborate with some of the industry's leading researchers and engineers.Work on technology that will shape the future of AI.Long-term contract with a highly respected global technology organisation.