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I'm currently supporting a well-backed SaaS scale-up on a mission to reshape how global companies navigate product compliance and market access — through applied Generative AI.They’ve already begun integrating LLMs and intelligent agents across their platform and are now hiring a Head of AI to lead this transformation into a fully AI-powered offering — moving from software-as-a-service to what they’re calling “results-as-a-service”.Here’s a snapshot of the opportunity:🔹 Build & scale an internal AI function — growing a high-performing team of engineers & scientists🔹 Drive vision & hands-on strategy across GenAI, NLP, data pipelines, and inference at scale🔹 Architect AI agents that automate complex regulatory tasks using varied unstructured data🔹 Collaborate directly with the CTO and cross-functional teams to deliver AI-driven product capabilities🔹 Be the internal champion of AI across the company, while shaping externally-visible thought leadership🧠 Ideal profile they’re looking for:15+ years of experience in Data Science / AI in commercial environmentsProven record of leading AI teams and scaling generative AI into productionStrong depth in ML, data engineering, and cloud-native architecturesProficiency with Python and modern ML libraries; experience with AWS is a plusAbility to set technical direction while remaining hands-on when needed💼 Remote-first (UK/Ireland)💬 Clear path to influence strategy at C-level with strong internal support for innovationIf this sort of challenge aligns with your experience — or if you'd be curious to explore it in more detail — feel free to send your CV/resume and we'll be in touch to discuss further!

I'm currently supporting a well-backed SaaS scale-up on a mission to reshape how global companies navigate product compliance and market access — through applied Generative AI.They’ve already begun integrating LLMs and intelligent agents across their platform and are now hiring a Head of AI to lead this transformation into a fully AI-powered offering — moving from software-as-a-service to what they’re calling “results-as-a-service”.Here’s a snapshot of the opportunity:🔹 Build & scale an internal AI function — growing a high-performing team of engineers & scientists🔹 Drive vision & hands-on strategy across GenAI, NLP, data pipelines, and inference at scale🔹 Architect AI agents that automate complex regulatory tasks using varied unstructured data🔹 Collaborate directly with the CTO and cross-functional teams to deliver AI-driven product capabilities🔹 Be the internal champion of AI across the company, while shaping externally-visible thought leadership🧠 Ideal profile they’re looking for:15+ years of experience in Data Science / AI in commercial environmentsProven record of leading AI teams and scaling generative AI into productionStrong depth in ML, data engineering, and cloud-native architecturesProficiency with Python and modern ML libraries; experience with AWS is a plusAbility to set technical direction while remaining hands-on when needed💼 Remote-first (UK/Ireland)💬 Clear path to influence strategy at C-level with strong internal support for innovationIf this sort of challenge aligns with your experience — or if you'd be curious to explore it in more detail — feel free to send your CV/resume and we'll be in touch to discuss further!

Our client, a ML Focused consultancy are looking for a German-speaking AI Engineering Consultant to join a fast-growing team in Basel and drive impactful AI transformations! (They also have a several ongoing projects in Zurich)🔥💡 Why this role?You’ll be at the forefront of AI & ML adoption, helping organizations design, build & scale ML solutions beyond prototypes. You won’t just write code—you’ll shape AI strategy, implement best practices, and enable teams to unlock the full potential of AI.🌍 Your impact:✅ Consult & Engineer: Work with cutting-edge ML, LLMs & Generative AI technologies to solve real-world challenges.✅ End-to-End AI Operations: Design & optimize data, model & code pipelines (DataOps, MLOps & DevOps).✅ Technical Leadership: Be a trusted advisor, shape solution blueprints, and drive AI engineering excellence.✅ Collaboration & Enablement: Work closely with teams to operationalize AI & ensure reliability, scalability, and automation.🔍 What you bring:🔹 3+ years of experience in ML, AI, or Software Engineering🔹 Hands-on expertise in ML models, LLMs, and Data/AI platforms (Snowflake, Databricks, etc.)🔹 Strong understanding of DataOps, DevOps, and MLOps best practices🔹 Passion for scaling AI beyond POCs & driving enterprise AI success

About the Role: We are building a world-class language engineering lab focused on developing memory-safe, high-performance system products for mobile, cloud, and telecom applications. Our work centers around advancing the use of Rust and exploring cutting-edge programming language features to drive safer, faster, and more concurrent systems at scale. We are looking for an experienced Researcher to help shape the future of programming language development and accelerate the adoption of Rust across a wide variety of technologies. This is a rare opportunity to work on large-scale, real-world engineering challenges, collaborating with some of the leading experts in the Rust community. You will be instrumental in designing next-generation programming language features and setting the technical direction for initiatives that will impact thousands of engineers worldwide. If you are passionate about programming languages, frameworks, and solving ultra-large-scale engineering problems, this is an exciting opportunity to make a global impact. Key Responsibilities:Lead the design and development of Proof-of-Concepts (PoCs) for next-generation Rust features aimed at mobile, compute, and embedded system challenges.Provide technical direction and guidance on the development of automated software engineering tools with a focus on Rust applications.Collaborate with internal stakeholders and research partners to drive innovation and adoption of advanced Rust capabilities.Desired Experience & Skills:PhD in Programming Languages, Operating Systems, Software Engineering, or a closely related field.Strong professional experience using Rust, with a focus on performance and safety.Deep expertise in the design, architecture, and implementation of programming language features.Extensive knowledge in:High-performance features of RustSafe migration strategies from C/C++ systems to RustRust applications for accelerators like GPU, TPU, and NPUStrong communication and leadership skills, able to guide technical direction and mentor colleagues.Flexibility to travel internationally (up to 10%).Why Join Us? You’ll be part of a forward-thinking team at the forefront of advancing system-level programming languages. Working on a wide variety of products, this role offers the chance to influence engineering practices across a major global organization and to contribute directly to the evolution of Rust and related tooling.

I am hiring for Senior Machine Learning Engineer to lead the development of cutting-edge AI models for Occupant and Driver Monitoring Systems (OMS/DMS).  Job Title: Senior Machine Learning Engineer Location: Munich (Hybrid 1-3 days in office per week) Key ResponsibilitiesComputer Vision & ML Development: Design and develop models for:Object Detection (Person Detection, Child Seat Detection, Gaze Detection)Pose Estimation (Head Pose Estimation, Facial Landmark Detection)Classification & Localization (e.g., identifying and locating phones or objects within the vehicle)Technical Leadership:Lead the technical direction of projects, including setting milestones and ensuring deliveryPlan and review development cycles, mentor team members, and guide research effortsEmbedded Systems Integration:Optimize and port computer vision models to embedded platformsEnsure model compatibility, performance, and efficiency on target hardwareFull ML Pipeline Ownership:Oversee data acquisition, preprocessing, and annotationManage training pipelines and model iteration cycles RequirementsPhD (or equivalent research experience) in Machine Learning, Computer Vision, or a related fieldStrong hands-on experience with Python (essential) and familiarity with C++ (nice to have)Proficient in PyTorch, TensorFlow, and OpenCVProven track record of deploying ML models to embedded systems Nice to HaveExperience with Driver Monitoring Systems (DMS)Experience with GenAI i.e. Diffusions, GANs, etc…

Our client is developing Level 4 certifiable autonomous driving systems for public transport— made in Germany. They specialize in legally compliant, explainable AI technology inspired by cognitive neuroscience. Their unique system is capable of making logical, transparent decisions in complex road scenarios without relying on black-box models. Motor AI’s vision is to enable individual, autonomous mobility for everyone, with a focus on safety, accessibility, and scalability. As a DevOps Engineer, you will build and maintain the infrastructure that powers their development, testing, and deployment pipelines—ensuring reliability, scalability, and security at every stage of the autonomous driving stack. Responsibilities: • Design, implement, and maintain CI/CD pipelines (Jenkins, GitLab CI, GitHub Actions) for continuous integration and delivery of our autonomous driving software. • Manage containerization (Docker, Podman) and orchestration using Kubernetes for scalable, resilient environments. • Automate infrastructure with tools like Terraform, Ansible, or Puppet using Infrastructure as Code (IaC) best practices. • Set up and monitor system performance with tools such as Prometheus, Grafana, ELK Stack, or Datadog. • Manage cloud infrastructure across AWS, Azure, or GCP for deployment and scaling of services. • Implement and maintain observability, incident response, and deployment strategies (e.g., Blue/Green, Canary). • Ensure compliance with DevSecOps principles, including secrets management and system hardening. Requirements: • Experience with CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions. • Proficiency in containerization and orchestration with Docker and Kubernetes (K8s). • Hands-on knowledge of Infrastructure as Code tools (Terraform, Ansible, Puppet). • Familiarity with monitoring and logging solutions (Prometheus, Grafana, ELK Stack). • Experience working with cloud platforms (AWS, GCP, Azure) and Linux server administration. • Strong scripting skills (Bash, Python, YAML) and understanding of Git and GitOps workflows. • Solid foundation in networking fundamentals (DNS, HTTP, SSL, TCP/IP). • Experience with DevSecOps, incident management, and deployment strategies for zero downtime. •Knowledge of RAID storage and load balancing is a plus. Note: We’re open to candidates with varying levels of experience across cloud providers or orchestration tools if you bring strong fundamentals and a willingness to learn. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.

Our client pioneering Level 4 certifiable autonomous driving technology tailored for local public transport—built on a foundation of German precision and cutting-edge cognitive AI. Their mission is to connect people, no matter where they are, by delivering intelligent, explainable, and legally certifiable autonomous mobility systems. Through neuroscience-inspired decision-making and a full-sensor stack, their autonomous driver sets new standards for safety, transparency, and scalability. As a System Architect, you will design and define the complex systems that power our AI-driven autonomous driving stack, from edge computing to cloud-native integrations. Responsibilities: • Design and implement real-time embedded systems and edge computing architectures for autonomous vehicle platforms. • Develop and integrate vehicle networks including CAN, LIN, FlexRay, and Automotive Ethernet for robust in-vehicle communication. • Define and maintain software and hardware system architecture for AI/MLbased perception and decision-making pipelines. • Lead the development of service-oriented architectures (SOA, microservices) and support their deployment using containerization tools such as Docker and Kubernetes. • Ensure compliance with functional safety and cybersecurity standards such as ISO 26262 and ISO/SAE 21434. • Architect and implement systems that support OTA updates, V2X communication, and DevOps pipelines (e.g., GitLab CI, Jenkins). • Bridge embedded, edge, and cloud infrastructure, leveraging platforms like AWS, GCP, or Azure for cloud-to-car functionality. Requirements: • Proven experience with embedded systems and real-time system architectures. • Expertise in sensor fusion, particularly with Radar, LiDAR, and Camera systems. • Strong background in high-performance computing (HPC) and edge AI applications in vehicles. • Familiarity with cloud-native architectures and cloud platforms (AWS, Azure, or GCP). • Experience with containerization (Docker, Kubernetes) and DevOps/CI-CD pipelines. • Knowledge of Software-Defined Vehicles (SDV) and AUTOSAR (Classic & Adaptive) platforms. • Understanding of vehicle communication protocols and V2X technologies. • Strong grasp of system-level cybersecurity and functional safety requirements. • Experience with ROS/ROS2 is a plus. • Excellent communication skills and ability to collaborate across hardware/software teams. Note: Certain expertise areas such as AUTOSAR or specific cloud platforms can be flexible based on the candidate’s strengths and learning capabilities. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. • Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.

Our client is pioneering Level 4 certifiable autonomous driving solutions, tailored for public transport and designed with safety at the core. By leveraging cognitive intelligence and cutting-edge AI based on German research, they create autonomous systems that make logical, explainable decisions in complex road scenarios. Their mission is to enable sustainable, safe, and scalable mobility solutions, ensuring that autonomous technology can connect people everywhere—especially in rural areas and underserved communities. As a SOTIF Expert, you will play a key role in ensuring the safety of our autonomous systems. You will be responsible for analyzing potential risks, validating safety concepts, and applying your deep knowledge of safety standards to develop systems that meet the highest safety requirements. Responsibilities: • Provide in-depth expertise on SOTIF (ISO/PAS 21448), ISO 26262 (Functional Safety), and safety-critical systems in the context of autonomous driving. • Lead Hazard and Risk Analysis (HARA) processes and SOTIF Safety Goals development to ensure compliance with the highest safety standards. • Design and implement safety concepts for ADAS/AD systems, focusing on the behavioral safety of autonomous functions. • Conduct validation and verification of safety-relevant systems through testing in real and simulated environments. • Identify unknown risks and manage scenarios involving “unknown unknowns” within the context of autonomous driving. • Work closely with system architects and developers to ensure safety requirements engineering is integrated into the design and development of the autonomous driving system. • Apply methodologies such as FMEA, FTA, STPA for safety analysis and develop test cases for SOTIF validation. Requirements: • Extensive experience with SOTIF (ISO/PAS 21448) and ISO 26262 (Functional Safety) standards. • Strong background in Hazard and Risk Analyses (HARA) and the creation of SOTIF Safety Goals. • Expertise in validating safety-critical systems and identifying unknown risks in autonomous driving contexts. • Experience with tools like DOORS, Polarion for requirements management, and MATLAB/Simulink for modeling and simulation. • Proficiency in Python and/or C++ for analysis and test automation. • Familiarity with CAPL, CANoe, and other tools for vehicle communication and testing. • Experience with simulation tools such as IPG CarMaker, dSPACE, or SCANeR. • Strong understanding of virtual validation and sensor failure analysis (camera, LiDAR, radar). • Experience applying FMEA, FTA, and STPA for safety analysis in autonomous driving. • Excellent communication skills, with a collaborative mindset for working with cross-functional teams. Note: Familiarity with Model-Based Systems Engineering (MBSE) is a plus. Why you should join us: • Work in an intellectually stimulating and innovative environment where you can take full ownership of your projects at every stage of development. • Enjoy flat hierarchies, an open culture, and fast decision-making processes. • Collaborate with a skilled and dedicated team eager to share their knowledge and expertise. •Be part of a multinational workplace that values diversity and integrates different backgrounds and perspectives. • Work in the vibrant heart of Berlin, in the dynamic Kreuzberg district.