Machine Learning Engineer

Senior Backend Developer

Alohi

Alohi is an AI-first SaaS scale-up on a mission to simplify how businesses work. Our products (Sign.Plus, Dial.Plus, Fax.Plus, and Scan.Plus) serve 5M+ customers worldwide, from small businesses to global enterprises. We're building category-defining tools that people actually love to use. We started with seed support from FONGIT (Fondation Genevoise pour l'Innovation Technologique), backed by the State of Geneva. Since then, we've chosen to bootstrap our growth. This keeps us financially independent, customer-focused, and able to move fast without external constraints. We're a lean, fast-growing team based in Geneva with strong traction across global markets. This is an entrepreneurial environment where you'll have high ownership, broad responsibilities, and direct impact from day one. If you want to build something meaningful in a fast-paced, innovation-driven company, without the chaos of early-stage uncertainty or the bureaucracy of a large corporation, this is it. We are hiring a Senior Backend Developer to build and scale the server-side systems that power our products. You'll own the development of APIs, backend modules, and database architecture, ensuring high performance and reliability as we serve millions of users worldwide. This position is fully on-site at our Geneva office. RESPONSIBILITIES We're looking for a hands-on engineer who can design, build, and maintain backend systems that scale. Backend Development * Build and maintain mission-critical backend systems to support high-volume requests across our product suite * Design and develop robust APIs and web services that power our frontend applications * Develop and maintain backend modules, ensuring clean architecture and maintainable code * Build backend infrastructure for AI-powered features, including integration with LLMs, model APIs, and data pipelines for machine learning workflows Performance & Scalability * Identify and resolve performance bottlenecks in a high-traffic, scalable environment * Optimise database queries and system architecture to handle growing demand * Ensure development tasks are completed within timelines with minimal defects Infrastructure & DevOps * Work with containerisation technologies (Docker, Kubernetes) to deploy and manage services * Contribute to CI/CD pipelines and build systems to streamline development workflows * Participate in on-call rotations to ensure system reliability and respond to production incidents * Collaborate with cross-functional teams to deliver features end-to-end REQUIREMENTS * 3–5 years of experience in backend software engineering, ideally in a technology-driven or SaaS environment * Strong proficiency in Python * Solid experience with complex data structures and databases (MongoDB, MariaDB, Elasticsearch) * Able to critically evaluate and effectively use AI-assisted development tools while maintaining a deep understanding of the underlying code * Strong Linux knowledge and hands-on experience * Good understanding of HTTP, REST, web servers, and microservices architecture * Experience with containerisation (Docker, Kubernetes) * Familiarity with build systems and CI/CD procedures * Ability to write clean, scalable, and well-tested code * Strong problem-solving skills and attention to detail * Fluent in English (written and spoken) WHAT WE OFFER Office First: We believe the best collaboration happens in person. You'll be based at our Geneva office, working alongside a lean, high-calibre team where ideas flow freely and decisions happen fast. AI-First Technology: We provide all the devices and software you need to excel, including access to cutting-edge AI tools and a modern tech stack. You'll have the best resources at your disposal to move quickly and build great things. Personal Development: We invest in your growth with a dedicated learning budget for training programmes, conferences, courses, and professional development opportunities. Quarterly Events & Annual Retreats: Regular team events and company-wide retreats to connect, celebrate wins, and have fun together. Award-Winning Culture: We're proud to be recognised as a Great Place to Work and Best Workplace, reflecting our commitment to building an environment where talented people thrive. Perks & Wellbeing: Weekly yoga sessions, plus discounts on gym memberships, restaurants, and Apple products to support your lifestyle inside and outside of work.

Finance Business Partner

Sparta

We Are Sparta Sparta is the next-generation commodity trading platform. We give trading desks the clarity, control, and collaboration they need to move faster and trade smarter. In February 2025, we secured $42 million in Series B funding. Now we’re scaling up across the business, and it’s an exciting time to join. Our people are the driving force behind everything we do. At Sparta, you’ll be trusted to take ownership, backed by a team who wants you to succeed. You’ll be challenged, supported, and given room to grow. Because building something this ambitious takes everyone at their best. At Sparta, your work has reach. From improving our platform, to powering smarter decisions for our customers, to changing how commodity trading is done around the world. And because we’re growing fast, you won’t just build your career. You’ll accelerate it, with a level of ownership and impact you simply don’t get at bigger, more bureaucratic companies. The role You are the finance business partner at Sparta. You keep the P&L, cash, and balance-sheet projections current every week, and you sit beside RevOps and every function to turn plans into numbers and numbers into decisions. This is a high-visibility seat, one step from the CFO and the executive team. You lead with the number and with AI. You make sure every team understands where their spend goes and how it maps to our strategic vision, and you help leadership place the right bets. This is about backing the right investments for the company. The job is influence as much as analysis. You partner the business, not just model it. We are a small finance team with a broad mandate — FP&A, legal, payroll, equity and tax all run from here. We want someone curious and versatile, who wants range across the whole finance surface rather than a narrow lane. We run as a group across five jurisdictions from our Geneva headquarters. Finance is being built into a function that forecasts with confidence, partners the business, and gives leadership real-time clarity, with AI taking on the manual work so the team decides instead of chasing data. You will help build that. What you’ll own PLANNING, BUDGETING AND FORECASTING – Budgets. Build the annual budget with function leads and consolidate it into one group plan the business can stand behind. – The weekly forecast. Refresh the rolling forecast every week across the P&L, cash, and balance sheet. Keep projections live so leadership decides on current numbers. – Topline, with RevOps. Partner RevOps on the top line. Track what moves revenue — pipeline to bookings, retention, expansion — and tie the commercial story to the plan. – Long-range plan. Own the three-to-five-year plan that turns strategy into numbers — revenue, cost, headcount, and cash. Pressure-test the assumptions, run the scenarios, and keep it live as the strategy and the market move. ACTUALS, VARIANCES AND REPORTING – Actuals and variances. Report the actuals, run variance analysis against budget and forecast, and explain the drivers — the story behind the number, not just the number. – Board decks. Support board-deck preparation each quarter with the financial inputs and analysis. – Finance newsletter. Build and run a monthly finance newsletter that shares the key highlights with the business and our investors. PARTNERING AND INVESTMENT – Business partnering. Build a strong partnering relationship across the business and with all departments. Translate their plans into numbers, and make the trade-offs visible with numbers, not opinions. – Where the spend goes. Make sure every function understands where their spend goes and how it maps to the strategic vision. Bring the analysis that helps leadership back the right bets. FINANCE TECH AND TRANSFORMATION – Tools and systems. Own how finance runs on its stack — and keep making it sharper. – AI and automation. Automate the forecast refresh, the reporting, and the analysis. You lead with numbers and with AI. – Transformative initiatives. Take the lead on finance transformation — new tools, cleaner data, and a faster path from data to decision. What you’ll bring MUST HAVE – 5+ years in FP&A, ideally in B2B SaaS or high-growth tech – Hands-on with finance systems and tools and you build with AI to take out the manual work. – Real business-partnering ability. – Curious and versatile. – Comfort with topline and revenue drivers, and with partnering RevOps on what moves them. – Advanced Excel and financial modelling. – Clear, plain writing. – Fluent English. NICE TO HAVE – Hands-on with NetSuite and HubSpot. – An FP&A planning tool deep expertise. – You have led a finance systems implementation or a transformation project. – Knowledge of IFRS or US GAAP. What we offer – A direct line to the CFO and real influence on how a scale-up is run. – High ownership from day one, not a slot in a large finance machine. – A base in Geneva, one of the best places in Europe to live and work. Sparta Commodities is proud to be an equal opportunity employer and promotes diversity within its workforce. We are determined that no-one will ever receive less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, race, veteran status or any basis covered by appropriate law.

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