Anthony Kelly

AI Project Lead – Berlin (Hybrid)Salary: €70,000–€90,000 + BonusHybrid: 3 days per week in our Berlin office, travel to client site 2-3 times a monthWe are looking for a Client-Facing AI Project Lead to join a fast-growing, highly profitable consultancy at the forefront of applied artificial intelligence. Join a team of 30 friendly nerds who work with corporates, NGOs, Mittelstand companies, and scale-ups to create meaningful AI breakthroughs - from fast-paced MVPs to large-scale transformations.Please Note: This is NOT an engineering role. This is a Project Management and Leadership role focused on client delivery, stakeholder management, and driving exponential value. You will be supported by an expert technical team.What You’ll DoBe obsessed with achieving an actual AI breakthrough with the client and delivering exponential value.Lead fast-paced AI projects from inception to complete integration, ensuring alignment with defined goals and scope.Act as the core point of contact for our clients, driving efficient collaboration across functions and organizational borders.Build trust and maintain strong relationships with stakeholders at all levels (The "charm" factor!).Contribute to a growing, high-impact company and help shape its culture and direction.What We’re Looking ForProject Management Expertise: At least 2 years of experience successfully managing projects from start to finish, with a focus on delivering tangible value (ideally in consulting or a related field).High Processor Speed: Incredibly fast in anticipating, analyzing, and solving problems; able to understand technical basics and use tools effectively.Strong Communication: Excellent verbal and written communication skills; ability to lead workshops and confidently handle numbers.Language Skills: Ability to communicate effectively in German (speaking, writing) is required.Academic Foundation: A technical background (Bachelor’s or Master’s) is highly valued.Soft Skills: Demonstrable ability to deal with ambiguity ("See it. Say it. Sort it!") and build lasting trust.Ideally, You Also BringUnderstanding of and experience in AI projects and Machine Learning.Familiarity with project management methodologies such as Agile.High proficiency in both German and English (C1 level or higher).Willingness to travel to client sites 2–3 times per month across Europe.What We OfferAscension: Opportunity to do the best work of your career with significant autonomy and real impact in a key leadership role.Captivating AI Projects: Engage with high-impact projects that offer ample room for experimentation, continuous learning, and growth.Top-Tier Compensation: We offer top-of-market pay for this AI Project Lead role.Professional Environment: Flexible work environment based on trust, collaboration, and our innovative “No rules rules” philosophy.Supportive Culture: Family-friendly policies, flexible hours, and an active commitment to diversity, inclusion, and Female Empowerment (mentorship and leadership support).

MLOps Engineer – Munich (Hybrid) Salary: €100,000 Hybrid: 3 days per week in our Munich office We are seeking an MLOps Engineer to join a pioneering company building technology that makes AI models more efficient, accessible, and sustainable. Our mission is to democratize AI - reducing its environmental impact while empowering people to do more with less. You’ll join a collaborative, research-driven environment where engineers, scientists, and product experts work together to push the boundaries of efficient machine learning. What You’ll DoDevelop and maintain a scalable SaaS cloud platform for model compression and benchmarking.Build and optimize backend services and responsive, user-friendly interfaces.Manage and improve our R&D cluster, including AWS-based compute infrastructure for ML experiments and development.Collaborate closely with ML researchers, engineers, and product teams to ensure seamless workflows and robust system performance.Support the go-to-market team by experimenting with new tools and solutions for the ML community.What We’re Looking ForStrong understanding of machine learning algorithms and MLOps principles.Proficiency in Python, C++, or Java.Experience with infrastructure-as-code tools (Terraform, CloudFormation, etc.).Expertise in cloud platforms and containerization technologies (e.g., Docker, Kubernetes).Experience designing and managing CI/CD pipelines and automated deployments.Strong communication skills and ability to collaborate across teams.A proactive mindset with ownership over projects and results.Bonus PointsExperience with deep learning frameworks (e.g., PyTorch, TensorFlow).Contributions to open-source MLOps or ML infrastructure projects.What We OfferMeaningful work at the intersection of AI and sustainability.Comprehensive benefits, including meal vouchers, wellness programs, mobility support, and a remote work stipend.Collaborative culture built on trust, inclusion, and continuous learning.Transparent and fair hiring process designed to be flexible and accessible to all candidates.Our ValuesDecide Wisely: Data-driven, customer-focused decision-making.Trust by Default: Open communication and mutual respect.Foster Inclusion: A diverse, supportive workplace where everyone belongs.Grow Together: Continuous feedback and shared learning.Learn Relentlessly: Adaptability and curiosity in a fast-moving field.Apply now to help shape a more efficient, sustainable future for AI.

AI/ML Engineer – Berlin (Hybrid) Salary: €70,000–€90,000 + Bonus Hybrid: 3 days per week in our Berlin office We are looking for an AI/ML Engineers to join a fast-growing consultancy at the forefront of applied artificial intelligence. Join a team of 30 engineers and innovators works with NGOs, Mittelstand companies, and scale-ups to create meaningful AI breakthroughs - from fast-paced MVPs to large-scale transformations. What You’ll DoShape and deliver fast-paced AI projects that move from proof-of-concept to production-ready MVPs.Build data pipelines, design and run ML workflows, and develop and deploy scalable web services.Collaborate with clients to integrate solutions into their systems and drive real business impact.Work across diverse sectors — from corporates and scale-ups to NGOs and the public sector.Contribute to a growing, high-impact company and help shape its culture and direction.What We’re Looking ForStrong experience building scalable software systems in a professional setting.Hands-on experience implementing AI/ML solutions in production environments.Solid technical foundation in Python and modern software engineering practices.Ability to deal with ambiguity, find practical solutions, and deliver high-quality results.Strong communication skills and ability to interact with clients in German (B1 level or higher).Ideally, You Also BringExperience with data science tools (e.g. pandas, matplotlib, scikit-learn).Experience working with large language models (OpenAI, Claude, etc.).Knowledge of front-end development and/or Docker.Experience integrating web services with SAP.Willingness to travel to client sites 2–3 times per month.What We OfferOpportunity to do the best work of your career with autonomy and real impact.Challenging and meaningful AI projects with room for growth and experimentation.Professional yet flexible environment built on trust, collaboration, and curiosity.Family-friendly policies, flexible hours, and commitment to diversity and inclusion.Equal opportunities and active support for women in tech through mentorship and leadership programs.

Senior Data Scientist As a Senior Data Scientist, you’ll work at the intersection of advanced sensing, optics, electronics, and computation, pushing the limits of what can be detected and understood. You’ll take ownership of the complete data analysis pipeline for our next-generation microscopy platform: from sensor characterization and noise modelling to algorithm development and physical data interpretation. Your goal is to extract robust insights from complex experimental datasets and turn them into smarter instruments, faster measurements, and tangible value for the semiconductor industry. Your ResponsibilitiesAnalyse large and noisy experimental datasets from high-precision microscopes, design robust algorithms, and extract physics-based insights.Develop and validate advanced signal-processing and statistical-analysis methods that enhance the resolution, speed, and robustness of our sensing platform.Design and interpret experiments involving optics, electronics, and digital systems to identify and mitigate performance bottlenecks.Translate analytical findings into actionable improvements for both hardware and software, working closely with engineering teams to implement them.Mentor junior team members, ensuring best practices in analysis, reproducibility, and documentation.Communicate results clearly to both technical peers and external industry partners.Your ProfilePhD in Physics, Electrical/Optical Engineering, Applied Mathematics, or a related discipline (exceptional MSc candidates with 6+ years of relevant R&D experience welcome).Minimum 4 years of experience applying data science in experimental or instrumentation-driven environments (semiconductors, photonics, imaging, or sensing).Proven expertise in statistical data analysis, experimental design, and advanced signal processing.Track record of developing and deploying algorithms using version control and reproducible workflows.Hands-on mindset and comfort working closely with hardware in the lab.Excellent communication skills; able to turn complex data into clear, actionable insights.(Nice to have) Background in quantum measurement techniques, advanced microscopy, or semiconductor device physics.Our BenefitsCompetitive salary with equity participation30 days of paid vacation plus public holidaysCompany-sponsored Well pass membershipAnnual learning & development budgetRegular team events and off sites

ML & Cloud Infrastructure EngineerLocation: MunichType: HybridSalary: Up to €90,000Join a startup creating a revolutionary 3D AI model. This model will change how industries like robotics, gaming, and AR/VR work with 3D content.Your core job is to design, build, and maintain all the computing systems (infrastructure) that develop and run our AI models.What You Will DoCreate scalable cloud infrastructure for training and running our ML APIs. Deploy and optimize major platforms like AWS, Azure, and GCP. Use Docker, Kubernetes, and Terraform to manage and scale our applications. Optimise storage for the large datasets needed for ML. Respond to cloud incidents, find the root cause, and implement permanent fixes. What You Need (Requirements)3+ years in an ML related cloud role.  Strong proficiency in cloud platforms (AWS, GCP, Azure). Strong proficiency in Docker and Kubernetes. Able to write scripts (Python, Bash, etc.) to automate tasks.

Join a Quantum Hardware TeamUp to €90K + virtual sharesMunich, on-site and hands-onWe’re building something truly exciting precision hardware that sits at the edge of physics and engineering. To make it real, we’re hiring two key people to join our early hardware team in Munich:CAD/PDM System Engineer (with room to grow into Team Lead)Mechatronics Engineer (Automation & Precision Systems)This isn’t a place for narrow roles or endless meetings. You’ll help shape the foundations of our hardware stack from day one pushing the limits of precision engineering and nanoscale control, designing systems for sub-micron accuracy, and setting up the processes that will define how our technology scales.What you’ll doBuild and own the CAD/PDM landscape for our mechanical and system design workflows.Design and optimize mechatronic and motion systems for cleanroom-grade precision.Work across hardware, software, and external partners to bring our first MVP system to life.What we’re looking forExperience in mechatronics, mechanical design, or precision systems (semiconductor or motion systems experience is a huge plus).Understanding of cleanroom system design particles, exhausts, and what true sub-micron precision means.A systems thinker: practical, curious, and allergic to over-engineering.Someone ready to trade corporate comfort for the speed, ownership, and purpose of an early-stage team.

Your Mission As a Senior ML/AI Engineer, you will lead the design, deployment, and scaling of ML/AI models in production. This is a high-ownership role where you will act as both a technical expert and a strategic thinker — ensuring delivery of robust, scalable models while aligning closely with stakeholder needs and business KPIs. You will work cross-functionally with both technical and business teams to craft tailored, high-impact AI solutions that drive real-world value. Responsibilities On the Business SidePartner with clients and internal stakeholders to understand strategic objectives and uncover ML/AI opportunities.Assess feasibility by analyzing available data sources and proposing realistic, impactful solutions.Define project goals, success criteria, and measurable KPIs in alignment with business needs.On the Technical SideLead the design and development of machine learning models using PyTorch, TensorFlow, or similar frameworks.Implement best-in-class MLOps practices to automate training, deployment, and monitoring of models (e.g., with Kubeflow).Build and optimize scalable pipelines for data ingestion, model training, evaluation, and inference.Ensure full automation from preprocessing to production, with robust testing and CI/CD integration.Collaborate closely with data engineers and platform teams to ensure model performance, reliability, and maintainability.Candidate Profile5+ years of hands-on experience in ML/AI engineering or data science roles.3+ years of experience with Google Cloud Platform (GCP), including hands-on use of Vertex AI and BigQuery.Proven experience delivering production-grade models and scalable ML systems.Strong knowledge of ML algorithms, model development, deployment, and lifecycle management.Proficiency in Python and ML frameworks such as TensorFlow or PyTorch.Expertise in MLOps tooling and automation (e.g., Kubeflow, MLflow, Vertex AI Pipelines).Experience applying LLMs, especially in Retrieval Augmented Generation (RAG) workflows.Familiarity with data preprocessing, model tuning, and performance optimization.Clear communicator with the ability to translate complex ideas to technical and non-technical audiences.Fluent in English (French or Spanish is a plus).Eligible to work in Europe.Bonus SkillsExperience with LangChain, LangGraph, or dbt.Prior involvement in consulting or client-facing AI/ML projects.Contribution to open-source or published work in AI/ML communities.Why Join The company values:Generosity – giving back through open-source and community initiatives.Transparency – every voice matters; decisions are shared and aligned.Growth – continuous learning and experimentation encouraged.Ownership – responsibility and impact are celebrated.Trust – people are valued as individuals, not just colleagues.Ever-learning – time is dedicated to innovation, training, and knowledge-sharing.This is an opportunity to grow, contribute, and make a meaningful impact — both inside the company and in the wider AI/ML community.

Join a company pioneering frontier foundation models in 3D, image, and video. Role: Research Engineer/ Scientist Location: London/ Munich (No Remote must be based in either city)Salary: Highly Competitive Salary & Benefits on offer D.O.E Redefine how industries from robotics and AR/VR to gaming and film generate and interact with digital content. You will design and run experiments, implement cutting-edge research, and scale models into production. ResponsibilitiesDesign and run ablations and experiments to improve performance.Evaluate and implement research papers on large-scale data.Train and fine-tune 3D and image/video foundation models.Develop demos, optimise test-time inference, and productionise models. QualificationsBachelor’s, Master’s, or PhD in CS/ML or related field.Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).Strong knowledge of generative models (diffusion, GANs, VAEs, transformers).Experience with large-scale model training and 3D representation learning (e.g., NeRF, Gaussian Splatting).