Machine Learning Engineer

Principal ML Engineer (Applied/Systems)

Soris

ABOUT SORIS We are a stealth technology company building at the intersection of foundational AI and systems design for real-world impact. Our mission is bold: to reimagine one of the largest and most entrenched industries on the planet, creating an entirely new model that is faster, fairer, and fundamentally better for humanity. We are building a full-stack AI platform from the ground up; one that is agentic, vertically integrated, and designed for scale. Our founding team has scaled category-defining companies in frontier tech, aerospace, mobility, and AI. We’ve led organizations from zero to multibillion-dollar valuations, pioneered new industries, and built products that reshaped how people live and move. Now we’re assembling a small, fiercely talented team to take on our most ambitious challenge yet. Joining us means working on cutting-edge research with direct application, where your code doesn’t sit in a lab, it changes lives. You’ll be part of an environment that values intellectual rigor, creative rebellion, and the courage to build what others say is impossible. This is a once-in-a-generation opportunity to help design and deploy the infrastructure of the future. We’ve raised capital in record time, and are scaling our foundational team now. If you’re motivated by hard problems, high impact, and the chance to leave a legacy, we’d love to talk. ABOUT THE ROLE We are seeking a highly experienced Principal ML Engineer (Applied / Systems) to join our engineering team and report directly to the CTO. This is a leadership-oriented/cross-functional role for a seasoned engineer with deep expertise building proprietary models and turning them into robust, scalable production systems that serve real-world needs. As a Principal ML Engineer at Soris, you will be responsible for driving the end-to-end development and deployment of machine learning and computer vision systems at scale. You will partner with engineering, product, and business stakeholders to prototype rapidly, validate findings, and ship reliable model-powered solutions, all with a strong focus on performance, maintainability, and impact. WHAT YOU’LL DO * Lead design, development, and deployment of machine learning systems from prototype to production, with direct impact on product outcomes. Rapidly experiment with large language models (LLMs), computer vision systems, NLP pipelines, and other ML techniques; validate results and productionize successful approaches. * Build, optimize, and scale inference pipelines and model serving infrastructure on AWS. * Collaborate closely with backend, data, and platform teams to integrate ML systems into the larger engineering stack. * Establish best practices for model versioning, monitoring, performance optimization, reliability, and observability. Influence technical strategy and drive long-term architectural decisions for ML infrastructure. * Present complex technical ideas, innovations, and tradeoffs clearly to executives, product partners, and non-technical stakeholders. * Mentor and lead other engineers; help grow the ML engineering capability across the organization. REQUIREMENTS * 12+ years of engineering experience with significant focus on machine learning systems, model deployment, and production readiness. * PhD or Master's degree in Computer Science, Statistics, or a related field. * Strong publication record in top machine learning conferences or journals (e.g., NeurIPS, ICML, ICLR, CVPR, ECCV) or demonstrated experience in relevant engineering roles. * Demonstrated success in deploying ML models into production, especially for NLP, computer vision, and large language model applications. * Strong proficiency in Python; additional experience in Golang and/or C++ is a strong plus. * Breadth of experience with cloud platforms and familiarity with managed inference services, orchestration, and scaling. * Deep understanding of ML tooling and practices, including model serving frameworks, monitoring, pipelines, and CI/CD. * Excellent communicator, comfortable explaining technical work to executives, partners, and diverse audiences. Proven leadership experience, including mentoring engineers and driving technical initiatives across teams. * A bias toward action, with the ability to operate effectively in ambiguous environments. NICE TO HAVE * Experience with feature stores, model registries, or MLOps platforms. * Background working in early-stage startups or high-growth environments. * Prior work shipping products used at scale in production. * Experience with AWS. WHY JOIN US You’ll be part of a team that values speed, quality, and impact, working on cutting-edge ML systems that matter. Your work will influence product direction, architecture, and real-world outcomes.

Machine Learning Engineer

Ferritico AB

Machine Learning Engineer Location: Hybrid Company: Ferritico Employment type: Full-time Ferritico is looking for a Machine Learning Engineer to design, develop, deploy, and continuously improve machine learning solutions for advanced materials and steel applications, with a strong focus on production-ready models, data workflows, cloud services, and product integration. This is a hands-on technical role for someone who enjoys working at the intersection of machine learning, software engineering, data, and industrial product development. About the role You will contribute to the development of Ferritico's machine learning models and software platform. The role involves turning industrial and materials data into robust model logic, reliable validation workflows, scalable cloud services, and user-facing product features. You will work closely with materials engineers, and customers to ensure that machine learning solutions are accurate, maintainable, well-documented, and aligned with real industrial needs. Key responsibilities Manage and organize the aggregation, cleaning, and preparation of materials, process, and property data in collaboration with materials engineers. Design and develop machine learning models and appropriate model structures. Define model assumptions, evaluation metrics, validation datasets, limitations, and acceptance criteria. Validate, benchmark, and continuously improve existing and future machine learning models. Develop and maintain cloud-based machine learning services, training workflows, and inference endpoints. Monitor production models and troubleshoot performance, reliability, and data-quality issues. Integrate new machine learning modules into Ferritico's web application. Support customers in running simulations, understanding model outputs, and identifying suitable machine learning solutions for their processes. Contribute to testing, technical documentation, code reviews, and engineering decision-making. What we are looking for We are looking for someone with a strong background in machine learning, data science, computer science, mathematics, engineering, artificial intelligence, or a related quantitative field. The ideal candidate has: An MSc, PhD, or equivalent practical experience in a quantitative field such as Computer Science, Mathematics, Engineering, Artificial Intelligence, or a related discipline. Strong proficiency in Python and experience building clear, maintainable, and well-tested code. Practical experience with pandas, scikit-learn, and common workflows for data preparation, model development, evaluation, and deployment. Solid understanding of statistical modeling, machine learning methods, validation strategies, and performance metrics. A basic understanding of backend and frontend development and how machine learning components integrate into software products. Rigorous attention to detail, strong communication skills, and the ability to take ownership of high-quality deliverables in a collaborative team. Nice to have Experience with any of the following would be highly valuable: Google Cloud Platform, cloud hosting, containerized services, or MLOps workflows. Git-based version control, automated testing, continuous integration, and production monitoring. Physics-informed machine learning, scientific computing, or models that incorporate domain constraints. Materials engineering, metallurgy, steel-industry data, or other industrial engineering applications. Customer-facing technical work, SaaS products, web applications, or translating business and process needs into machine learning solutions. This role could be a strong fit if you Have recently completed an MSc or PhD involving machine learning, statistical modeling, artificial intelligence, or scientific computing. Have practical experience developing, validating, deploying, or maintaining machine learning models. Enjoy combining data science with software engineering and practical product development. Are an ambitious and independent learner who takes responsibility for results while collaborating closely with others. Are excited about helping shape digital tools for the future of steel and advanced materials. Why join Ferritico? At Ferritico, you will join a Swedish software startup working at the frontier of materials science, AI, and industrial digitalization. Built on more than 10 years of research at KTH, our SaaS platform helps steel companies accelerate the development, manufacturing, and implementation of advanced alloys. You will have significant responsibility and autonomy, work with a small multidisciplinary team, and influence both the machine learning foundation and product direction of a platform used in industrial production. We value teamwork, curiosity, technical excellence, and clear communication. Not sure you meet every requirement? We encourage you to apply even if your experience does not match every qualification listed above. We value diverse backgrounds, different perspectives, and people who are motivated to learn and contribute. How to apply Please send your CV and a short note describing your motivation for the role, along with your relevant experience in machine learning, data science, software engineering, or industrial applications, to: contact@ferritico.com (Please include “Machine Learning Engineer” in the email subject line) Application deadline: 31 July 2026

Machine Learning Engineer

Nextory

You know that bit where every company says they’re “changing the world”? Yeah, it can feel a little forced. But we like to think our story actually has some realness to it. Our story begins with Shadi Bitar and Ninos Malki, who came to Sweden from Syria as kids and discovered that books could be a bridge - helping them learn the language, understand the culture, and explore new worlds. A thought emerged, what if everyone could have that? And just like that, Nextory was born - your all-access pass to read, listen, and discover new perspectives without limits. And now, we're on a quest to find a Machine Learning Engineer.  Let us tell you about the role 📖 As a Machine Learning Engineer at Nextory, you'll build the systems that power how users discover, understand, and engage with books. You'll work across AI agents, search, recommendations, retrieval, and product experiences, turning advances in AI into features that users interact with every day. Some examples of what you'll be doing: * Build intelligent recommendation, search, and discovery systems that help users find their next favorite book and connect with the right content faster. * Use AI, user behavior, and content understanding to continuously improve relevance, engagement, and user experience. * Design, build, and operate scalable machine learning systems using LLMs, retrieval, recommendation, and agent technologies. * Collaborate across product and engineering teams to deliver reliable AI-powered features with measurable user impact. Your story so far 👀 We believe you're an experienced engineer who enjoys solving complex problems and turning emerging technology into products that people love using. You are comfortable moving between product thinking and technical implementation, and you thrive in environments where experimentation, ownership, and fast iteration are part of everyday work. We also believe that you have: * BSc in Computer Science or another relevant field, or equivalent work experience. * At least 3 years of experience in a similar role * Strong programming skills in Python. * Experience working with AI agents and agent-based systems. * Experience building and shipping LLM-powered features to production. The Nextory way of working 🏠 At Nextory, we believe a strong and inclusive culture is key to our success and that culture flourishes when we meet and collaborate in person as much as possible. That’s why we spend the majority of the working time at our beautiful office! We are based in Stockholm, Sweden, with offices in Paris and Bangalore. Our hybrid work policy includes four days in the office and Wednesdays as a work-from-home day. Your next story starts here 💫 We look forward to your application 💫. Applications are reviewed continuously, but please note that due to summer vacations, our response times may be a little longer than usual. If you have any questions about the role, please contact erika.thorslund@nextory.com. Please note that we do not offer relocation and that a six-month probationary period applies.