MOIN,
BERLIN

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.This is a key position as part of their Bunker Management solution in the waste process. You will work on automating the crane picking when organising the bunkers thought multiple sensors. Due to this they are looking for a candidate with experience in robotics and a strong understanding of sensors for object detection, impurity detection, temperature monitoring etc.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)

We're on behalf of a client who’s building an AI-first platform to automate complex regulatory workflows. They’re urgently looking for a Senior AI Engineer to help move from traditional SaaS to results-as-a-service, using advanced LLM and agentic AI systems. Remote role (UK, Ireland, or EU-based). You’ll be working on building and scaling GenAI pipelines that power intelligent features within a compliance platform used by global enterprises. This includes training and fine-tuning LLMs to interpret regulatory documents, implementing agentic reasoning frameworks, and integrating ML capabilities into the product backend. Responsibilities include:Building and fine-tuning LLMs and advanced NLP modelsDeveloping scalable pipelines for unstructured and structured dataDeploying models using AWS tools (SageMaker, EKS, ECS) and integrating them into productionWorking with agent frameworks like LangChain, LangGraph, AutoGen, Semantic KernelMonitoring and performance tuning using Langsmith, Opik, Weights & BiasesIf you're interested, feel free to respond with your most up-to-date resume/CV and we’ll be in touch to discuss.

Job Title: MLOps EngineerLocation: Paris, Munich or remote in EuropeYour mission is to to make AI more efficient, accessible, and sustainable. We build tools to help organizations develop AI with minimal cost and carbon impact.Manage and optimize ML infrastructure and SaaS platform. You’ll develop backend services, basic front-end interfaces, and contribute to cloud platform for model compression and benchmarking. You’ll manage our AWS clusters (For now - open to change), ensuring scalable, reliable compute for ML workloads, and collaborate with ML engineers, software teams, and our go-to-market group.Required Skills:Strong programming skills (Python, C++, Java)Experience with cloud platforms, containerization, CI/CD, and IaC (Terraform/CloudFormation)Familiarity with ML algorithms and pipelinesStrong collaboration and ownership mindsetBonus: Experience with deep learning frameworks or open-source MLOps.

Job Title: Senior MLIR Compiler EngineerLocation: Germany About UsBe part of a team building ultra energy-efficient infrastructure for next-generation AI inference. Leveraging dynamic sparsity and brain-inspired computing architectures, we’re pioneering radically more efficient paths for GenAI algorithms. What You’ll DoDesign, implement, and optimize MLIR-based compiler frameworks for our brain-inspired AI hardware.Collaborate closely with hardware and software teams to map dynamic sparsity algorithms efficiently to our architecture.Develop new compiler passes, transformations, and optimizations tailored for energy-efficient AI workloads.Profile and analyze compiler performance to identify and eliminate bottlenecks.Contribute to open-source compiler technologies where applicable. What We’re Looking For4+ years of experience as a compiler engineer or developer, ideally with a focus on MLIR, LLVM, or related frameworks.Strong knowledge of compiler design, intermediate representations, and optimization techniques.Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch) and their compiler stacks is a plus.Familiarity with hardware-aware optimization (e.g., for GPUs, accelerators, or custom architectures).