Machine Learning

Deep Learning Engineer – Advanced Robotics & VLM/VLALocation: Flexible / Remote (UK or Europe preferred) Employment Type: Full-timeAbout the CompanyOur client is an ambitious AI and robotics company developing next-generation humanoid systems designed to transform how intelligent automation supports industrial and everyday environments. Their mission is to advance human potential through robotics that are scalable, safe, and capable of performing complex real-world tasks. This is a rare opportunity to work at the intersection of deep learning, multimodal AI, and robotic embodiment, helping shape the foundations of a truly intelligent automation platform. The Role As a Deep Learning Engineer, you’ll design and train large-scale models that power robotic control and perception — from foundational representation learning to behaviour cloning and reinforcement learning. You’ll work across the full data-to-deployment lifecycle, experimenting with cutting-edge multimodal architectures and building robust pipelines for high-performance, real-time systems. Key ResponsibilitiesDevelop and train deep learning models for manipulation, navigation, and general policy learning.Collaborate with teleoperations and simulation teams to define data collection goals and bridge the sim-to-real gap.Train and fine-tune multimodal LLMs, VLMs, and VLAs, integrating diverse sensory modalities (vision, audio, proprioception, LiDAR, etc.).Build scalable data pipelines for continuous ingestion, curation, weak supervision, and retraining.Partner with MLOps and infrastructure teams to enable distributed training and optimize models for real-time deployment.Contribute to shaping the next generation of embodied AI systems for safe, efficient automation.About You3+ years of experience building and deploying deep learning systems (industry or research).Strong proficiency in Python and PyTorch or JAX.Hands-on experience with LLMs, VLMs, or generative models for image/video.Deep understanding of training infrastructure (streaming datasets, checkpointing, distributed compute).Strong communicator with clear experiment documentation and the ability to explain complex technical decisions.Bonus PointsExperience in robotics, autonomous driving, or other embodied AI domains.Background in reinforcement learning (PPO, DPO, SAC, etc.) or RL for LLMs.Experience optimizing deep nets for production (latency, telemetry, on-device inference).Publications at top-tier ML conferences (ICLR, NeurIPS, ICML) or significant open-source contributions.Familiarity with OpenVLA, π models, or similar embodied AI frameworks.What’s on OfferCompetitive compensation including stock options.Flexible remote-first setup with opportunities for international collaboration.Work with world-class researchers and engineers building truly transformative technology.A fast-paced, innovation-driven culture where ideas move quickly from concept to prototype.

We are looking for an experienced Engineer/Scientist to join a cutting-edge robotics team in Zurich, focused on humanoid manipulation through state-of-the-art AI. You will contribute to developing and deploying learning-based controllers to enable robots to interact intelligently, reliably, and flexibly with complex environments. This role is deeply hands-on with real robot hardware, leveraging your expertise across vision-language-action (VLA) models, diffusion models, reinforcement learning, and dexterous manipulation. What we’re looking for:PhD or Master's in Robotics, AI, or related fieldsStrong expertise in learning-based dexterous manipulation (multi-fingered grasping, task-oriented manipulation)Practical experience with running real-time controllers on robotic hardwareDeep knowledge of diffusion models, transformers, CVAEs, normalizing flowsExperience working with ROS, PyTorch, and PythonFamiliarity with vision-language models (VLA/VLMs/LLMs) for robotic planning or failure detectionBonus: experience with synthetic data generation, simulation environments, teleoperation systemsWhy this role?Join a high-calibre team (ex-ETH / ex-NVIDIA founders) backed by significant investment (Seed + Series A secured)Work at the intersection of simulation, reinforcement learning, and robotics hardwareContribute to next-generation humanoid robots without reliance on traditional imitation learning paradigmsSignificant stock offering.If you’re passionate about building more intelligent robots through cutting-edge AI and want to work in a fast-moving, well-resourced environment, we’d love to hear from you.

Senior Machine Learning Engineer (m/f/d)Join a mission-driven tech team applying cutting-edge AI to the recycling and waste management sector. They’re developing intelligent systems to optimize material detection, sorting, and process efficiency. Making industrial operations smarter and more sustainable. We're looking for a Senior Machine Learning Engineer with strong experience in computer vision and Robotics to help design and deploy advanced models in production environments.What You’ll DoDevelop and deploy ML solutions for image and time-series data (e.g. object detection, anomaly detection, forecasting)Design scalable algorithms and integrate them into real-world systemsStay on top of the latest AI research and apply new technologies (e.g. Deep Learning, LLMs)Lead code reviews, mentor junior engineers, and promote development best practicesMonitor and continuously optimize models in productionWhat We’re Looking For4+ years of experience in CV (e.g. CNNs, YOLO) and time series (e.g. LSTM, Transformers)Strong Python/C++ skills and experience with ML frameworks (e.g. PyTorch, TensorFlow, OpenCV) and Robotics frameworks (ROS1/ROS2)Experience working with Sensors for real-world applications.Proven record of building and deploying real-world ML applicationsSolid math and data analysis skillsFluent in English and German; strong communication and leadership abilitiesWhat We OfferA key role in shaping AI products in an innovative fieldFlat hierarchies, creative freedom, and an agile environmentA diverse, interdisciplinary team and flexible working optionsModern office space and participation in company success (e.g. VSOP)Salary Budget: €80 - 95k (Dependant on Experience)

Lead Speech Research Scientist (ASR/TTS) London preferred | Remote considered | Visa sponsorship availableWe’re collaborating with a growing AI company developing advanced conversational technologies that power intelligent voice and chat systems for global enterprises. This is a senior research and leadership role for someone with deep expertise in ASR, TTS, and related speech–language technologies. You’ll head a high-impact research group, working directly with company leadership to define research priorities, guide technical direction, and translate innovations into production.Key Responsibilities:Lead applied research and development in speech recognition, speech synthesis, and conversational AI.Define the research roadmap and ensure alignment with strategic and product goals.Mentor and grow a team of researchers, fostering collaboration and innovation.Translate real-world product challenges into clear research objectives and milestones.Oversee data strategy, evaluation metrics, and system performance.Collaborate closely with product and engineering teams to deploy research outcomes.Represent the team externally through papers, conferences, and community engagement.What We’re Looking ForPhD (preferred) or Master’s in Speech Technology, Computer Science, or related field.Proven expertise in Automatic Speech Recognition (ASR) and/or Text-to-Speech (TTS).3+ years of applied research experience in speech or language AI (industry or academic).2+ years leading or mentoring research teams or projects.Strong programming skills in Python, with deep learning experience using PyTorch.Practical experience taking models from research to production environments.Bonus SkillsExperience with multilingual or low-resource speech systems.Familiarity with LLM integration into conversational pipelines.Strong engineering foundations (Git, Docker, CI/CD).Publications in major speech or AI conferences (e.g., Interspeech, ICASSP, NeurIPS).This is a key hire in a company entering an exciting growth phase — an opportunity to shape the future of speech and conversational AI while leading a talented, expanding research team.

For an AI led start-up in London, we are currently looking for a senior AI product lead that could align well with your background. The company is building AI-powered automation for the property sector and is looking for a Product Leader to take the platform from early traction to scalable growth. They’re open to someone who has founded and built a product before, ideally with experience as a CPO or senior PM in a tech-first setting. Exposure to agentic or generative AI would be ideal, and property experience would be a strong plus. Someone who has owned end-to-end product delivery for AI-driven products, especially those involving LLMs, agentic systems, or automation workflows, would be a great fit. They should understand both the technical capabilities (how AI models are built, trained, and deployed) and the commercial implications (how to turn those capabilities into value for users). Key responsibilities: • Define and own the product roadmap to drive scalable growth. • Launch high-impact AI features such as chat, document extraction, or workflow automation. • Translate customer insights into data-driven strategy and prioritisation. • Align engineering, design, and GTM to accelerate delivery and adoption. • Refine pricing, positioning, and product-market fit as the product scales. It’s a strong opportunity for someone who blends AI product vision with startup execution. Feel free to reply with your updated CV if you feel you are a good fit for this role!

Member of Technical Staff - Machine Learning Infrastructure/High Performance Inference EngineI’m working with a well-funded AI research company building the technical foundations for a new class of embodied agents and digital humans - systems designed with genuine, human-like qualities that can interact, collaborate, and form real connections with people. Their long-term aim is to scale this work into multi-agent simulations and entire societies of autonomous AI entities.As their Member of Technical Staff (ML Infrastructure), you’d design and scale the platforms that make this possible - from high-performance inference engines to distributed training pipelines and large-scale compute clusters that power intelligent, interactive AI systems. You’d work closely with researchers and product engineers to push the limits of inference performance, strengthen the foundations for agentic AI, and evolve the next generation of training and post-training pipelines.Responsibilities:Accelerate research velocity by enabling SOTA experimentation from day one.Build and optimize the full model training pipeline, including data collection, data loading, SFT, and RL.Design and optimize a high-performance inference platform leveraging both open-source and proprietary engines.Develop and scale technologies for large-scale cluster scheduling, distributed training, and high-performance AI networking.Drive engineering excellence across observability, reliability, and infrastructure performance.Partner with research and product teams to turn cutting-edge ideas into robust, production-ready systems.Qualifications:Expertise in one or more of: inference engines, GPU optimization, cluster scheduling, or cloud-native infrastructure.Proficiency with modern ML frameworks such as PyTorch, vLLM, Verl, or similar.Experience building scalable, high-performance systems used in production.Start-up mindset - adaptable, fast-moving, and high-ownership.Why This Opportunity Stands Out:Elite founding team: Engineers and researchers from MIT, Stanford, Google X, Citadel, and top AI labs.Strong funding and backing: Over $40M raised from Prosus, First Spark Ventures, Patron, and notable investors including Patrick Collison and Eric Schmidt.Serious traction: Their flagship AI companion product has already achieved significant user growth and is generating real revenue.Impact and autonomy: A flat, fast-moving environment where you’ll own critical systems and ship meaningful work within weeks.Longevity in vision: This company is not chasing quick exits - they’re deliberately building what they believe will be a historical company, with long-lasting influence on how humans and AI interact.

AI Solutions Engineer / AI Solutions Manager - Visual Generative AI$150,000 - $180,000New York - 3x days WFH We’re partnered with a pioneering enterprise-grade Visual GenAI platform that has been shaping the responsible AI landscape for over five years. Backed by leading global investors and trusted by some of the world’s largest brands, this company is building the infrastructure for the next generation of safe, scalable, and brand-consistent AI-driven products and services. Now, they’re looking for a Technical AI Solutions Engineer / Solutions Manager to help enterprise customers unlock the full value of their platform. You’ll be the bridge between customers and internal teams, ensuring adoption, ROI, and long-term success.You’ll work hands-on with developers, product managers, and technical decision-makers, helping them integrate cutting-edge generative visual AI into their workflows. Why Join?Be part of a category-defining AI company that’s shaping the future of responsible GenAI.Work with globally recognized enterprise clients across multiple industries.Have a direct impact on product evolution through customer insights.Join a team at the forefront of AI innovation with deep expertise in generative visual technologies. What You’ll Be DoingOwn the post-sales relationship with a portfolio of technical enterprise customers.Guide onboarding, technical enablement, and adoption of the platform.Act as a trusted advisor, helping customers translate technical capabilities into business impact.Work directly with client engineering teams to integrate APIs and platform capabilities.Troubleshoot across the stack (APIs, model behaviour, latency, deployment).Lead workshops, demos, and training sessions for technical stakeholders.Gather and translate customer feedback into product improvements.Collaborate with Product, Engineering, Sales, and Support to advocate for customer needs. Requirements:Must-Haves3–6 years in a SaaS technical customer-facing role (Customer Success Engineer, Solutions Engineer, or Technical Account Manager).Proficiency with API integrations, scripting (Python or JavaScript), and cloud platforms (AWS, GCP, or Azure).Strong grasp of machine learning and generative AI fundamentals, especially computer vision.Ability to translate technical capabilities into business value.Proven success supporting technical customers at a B2B SaaS or AI/ML platform company.Excellent communication, relationship management, and organizational skills.Nice-to-HavesHands-on experience with generative models (diffusion, transformers) or visual AI systems.Familiarity with MLOps workflows, model deployment, or on-device inference.Exposure to creative industries (media, marketing, design).Background in data science, software engineering, or applied AI.

LLM Engineer (Mid-Senior)Location: SpainSalary: €65k-€80k base + bonuses + relocation packageAbout the Company:A rapidly growing deep-tech firm creating advanced AI solutions that enhance efficiency and performance across sectors such as finance, energy, and manufacturing. Our diverse, international team thrives on collaboration and innovation. Role Overview: We are looking for an LLM Engineer to develop, refine, and deploy large language models. You will work on state-of-the-art AI projects, integrating models into products and solving complex, practical challenges.Key Responsibilities:Design and implement techniques to make LLMs more efficient, scalable, and effective.Conduct thorough evaluations and optimizations to improve model accuracy, speed, and reliability.Identify opportunities for innovation and propose creative solutions.Maintain clear documentation of experiments and outcomes; support and mentor junior engineers.Keep up to date with advances in LLM research and emerging AI technologies.Required Qualifications:Master’s or Ph.D. in AI, Computer Science, Data Science, or related field.Mid: 2+ years hands-on experience with transformer models; Senior: 5+ years including other deep learning architectures.Strong Python programming skills and experience with PyTorch, HuggingFace, and cloud/deployment tools.Solid understanding of deep learning concepts, model training, and GPU performance optimization.Excellent communication skills; fluent in English.Preferred Qualifications:Experience delivering AI solutions in industry.Spanish language skills and familiarity with large-scale cloud/HPC environments.Experience evaluating LLMs, building RAG systems, or working on other AI applications (CV, audio, signal processing).Awareness of AI ethics and best practices; DevOps/MLOps experience a plus.Perks & Benefits:Permanent contract with performance bonus and signing bonusPrivate health coverage, relocation and visa support if neededFlexible hours, hybrid work, educational budget, language classesCareer growth opportunities and collaborative work culture