Machine Learning Engineer

Voi Technology

YOUR MISSION AT VOI As a Machine Learning Engineer Intern at Voi, you will play a key role in designing and building machine learning models for our edge ML product. You will work across both software engineering and machine learning challenges, contribute to our product rollout, and help enhance the safety and real-world performance of our vehicles. You will join a high-impact product team, see your work deployed on Voi vehicles worldwide, and learn how to build ML products end-to-end. Please note this role is for 50% (Part-Time). In this role, you will: * Help build a cutting-edge machine learning product and see your models deployed on Voi vehicles across multiple markets. * Build an ML solution end-to-end, from dataset creation and PoC model development to edge ML optimisation, deployment and impact measurement. * Support production-grade models with a focus on reliability, scalability, and high performance. * Collaborate with a world-class, cross-functional product team, aligning on priorities and outcomes while learning from and supporting your teammates. WHAT YOU NEED TO EMBARK You are a curious, hands-on and analytical problem-solver with a strong interest in applied machine learning. You enjoy working with real-world data, building models that ship to production, and collaborating with others to create solutions that make a tangible impact. We believe you have: * Current enrolment in an MSc in Computer Science, Machine Learning, Robotics or a related field, with around one year or less remaining in your studies. * Strong Python programming skills and experience with Git; experience deploying machine learning models or backend code in production is a plus. * Solid understanding of common machine learning techniques such as convolutional neural networks, transfer learning and object detection, and hands-on experience with frameworks such as PyTorch, TensorFlow or scikit-learn. * Fluency in written and spoken English, and a proactive communication style in a cross-functional team environment. Don’t meet every requirement? If you are excited about this role and our mission, and have relevant, transferable skills, we encourage you to apply – even if you don’t check every box. WHY VOI? Working at Voi is more than just a job; our People Promise includes a personal voyage where you will grow as a professional and be a part of a team and culture that builds something meaningful for society. In addition to this you’ll have the opportunity to: * Join Europe’s #1 micromobility operator and one of the fastest growing scale-ups. * Get “skin in the game” through our employee options programme. * Enjoy unlimited free Voi rides and a dog-friendly office. * Work together with inspiring, motivated and fun colleagues towards a common goal. * Join the micromobility revolution and be a part of creating sustainable cities made for living, free from noise and pollution. If you are eager to apply your machine learning skills to real-world problems and shape the future of micromobility, we’d love to hear from you.

Knowit Group

På Knowit FLX får du det bästa av två världar. Du styr över din ersättning, pension, dina uppdrag och din tid, samtidigt som du har tryggheten i en fast anställning, kollegial gemenskap och säljkraft från ett av Nordens ledande konsultbolag.    AI-utvecklare / Machine Learning Engineer till Knowit Solutions FLX Stockholm   Som anställd hos Knowit Solutions FLX, ett dotterbolag inom Knowit-koncernen, väljer du själv din lön, din pension, din arbetstid och dina uppdrag.  Dina närmaste kollegor är andra seniora konsulter inom systemutveckling, arkitektur och projektledning.   Hos Knowit Solutions FLX är du anställd i ett mindre bolag med korta beslutsvägar, samtidigt som du får ta del av fördelarna med att tillhöra en av Nordens största IT-koncerner.   Knowit är ett av Nordens ledande IT-konsultbolag med över 4 000 medarbetare. Vi har ett stort antal ramavtal inom både offentlig och privat sektor, vilket ger tillgång till spännande kunduppdrag och möjligheter till kompetensutbyte. Hos Knowit får du möjlighet att arbeta både i resursuppdrag och i team- eller projektåtaganden tillsammans med dina kollegor.   Vem är du?  Vi söker erfarna AI-utvecklare till uppdrag hos våra kunder inom både privat och offentlig sektor. Du arbetar med att designa, utveckla och produktionssätta AI-lösningar baserade på maskininlärning och generativ AI, exempelvis lösningar med LLM och RAG. Rollen innebär att bygga skalbara lösningar i molnmiljö, integrera AI-funktionalitet i befintliga system och omsätta nya tekniska möjligheter till konkreta lösningar som skapar affärs- och verksamhetsvärde. Du arbetar nära både verksamhet och utvecklingsteam i uppdrag där AI går från experiment till verklig nytta. Vi tror att du har:   * Erfarenhet av utveckling av AI- och maskininlärningslösningar * Stark kompetens i Python * Erfarenhet av att utveckla lösningar baserade på Large Language Models (LLM) och generativ AI * Erfarenhet av att utveckla RAG-lösningar eller andra lösningar baserade på semantiskt sök och embeddings * Erfarenhet av att utveckla AI-lösningar från prototyp till produktionssatt system * Erfarenhet av API-utveckling och integration av AI-tjänster * Erfarenhet av containerbaserad utveckling, exempelvis Docker eller Kubernetes * Erfarenhet av att utveckla AI-lösningar i molnplattform, Azure, AWS eller GCP * Mycket god förmåga att kommunicera på svenska och engelska i tal och skrift  Varför Knowit Solutions FLX?   Hos oss får du det bästa av två världar: friheten att själv forma din arbetssituation och tryggheten i en fast anställning.   Du blir en del av ett kompetent nätverk av kollegor, får stöd av en stark säljorganisation som matchar dig med rätt uppdrag och har styrkan hos ett av Nordens största IT-konsultbolag i ryggen.   Välkommen med din ansökan!

Storytel

Stories have the power to make the ordinary extraordinary. They help us think bigger, see beyond ourselves, and deepen our connection with others. As one of the world's leading audiobook and e-book streaming platforms, Storytel brings unlimited listening to millions of users across 25 markets. Driven by our purpose, "Leading the future of storytelling, we move the world through stories", Storytel Group inspires and entertains people around the world by blending innovation with tradition. We bring stories to life across various formats for everyone to discover. Anytime. Anywhere. Ready for your next chapter? We're looking for a Senior Platform Engineer to join our Platform Engineering team! About the Team The Platform Engineering team focuses on setting up, operating and redefining observability, infrastructure, CI/CD, runtime, Machine Learning and AI agentic tooling at Storytel. We apply software engineering principles to accelerate software delivery and ensure that application development teams are productive in all aspects of the software delivery lifecycle. We aim to design and build toolchains and workflows covering the operational necessities of the entire lifecycle of an application and to enable that as self-service for our teams. This means providing paved roads that make it easy for our application developers to focus on building a great experience for our users. We support the teams in making the most of our platform's capabilities and in providing best-practices knowledge. Our team's expertise is very diverse, varying from cloud infrastructure, through security, to development tools, ML platform tooling, AI and more. About the Role Take the next step in your career as a Senior Platform Engineer at Storytel! At Storytel, engineers are viewed as leaders within the Individual Contributor roles, aiming to create impact and drive initiatives to bring our audio entertainment service to millions of users. As a senior member of the Platform team, you will design, build and maintain the toolchains and workflows that help our teams manage the full life-cycle of their systems – including tools, libraries for our common languages, templates, automation, and configurations. You'll work across observability, deployment pipelines, quality assurance, availability, the runtime platform. A key focus of this role is our ML platform capabilities. With AI and LLMs becoming a strategic part of how Storytel builds product experiences we need someone who can shape the paved road for ML workloads on Google Cloud and Vertex AI – making it easy for product teams to develop, deploy, and operate ML-powered features safely and reliably. Python is the lingua franca of this space and a key language for the role. You'll also coach and unblock developers in their daily work, help them get the most out of the platform, and lead initiatives that improve developer experience across the organisation. You will work with technologies including Metaflow, Argo Workflows, Argo Events, ArgoCD, Kargo, GitHub, GitHub Actions, Grafana, Prometheus, Kubernetes, Google Cloud Platform (including Vertex AI), Infrastructure as Code (Terraform, Atlantis), Fastly, and more. About You To be successful in this role, we believe that you have: * A platform engineering mindset. You understand that the job is about empowering other engineers to do their absolute best work, and you measure your success by their productivity and happiness. * A software engineer's perspective. You've been in the shoes of an application developer and you understand the friction, the trade-offs, and the long feedback loops engineers deal with every day. * Significant hands-on experience with ML on Google Cloud, and specifically Vertex AI – building, deploying, or operating ML workloads, pipelines, or platform capabilities that other teams build on top of. Strong Python skills in this context are expected. * A deep care for developer experience. You believe that good DX has a direct, positive impact on team morale, delivery speed, and product quality – and you can point to things you've built that prove it. * Strong long-term thinking on architecture. You weigh the maintenance cost of every decision and prefer boring, durable solutions over clever ones that someone else will have to live with. * Pragmatic ambition. You have high standards and a vision for where the platform should go, but you also understand the constraints of working in a small organisation and know how to ship value incrementally. * At least 5 years of professional software engineering experience, with solid hands-on development skills.. * Strong experience with container technologies, Kubernetes, and distributed systems in production. * Strong experience with a major cloud provider – ideally Google Cloud Platform. * Experience working in DevEx-adjacent areas such as deployment pipelines, observability and monitoring, quality assurance, automation, self-service tooling, or runtime platforms. * An ability to communicate fluently in English (written and spoken) and to collaborate effectively across teams – this role does not work in isolation. Bonus points for experience or interest in: * Building internal developer platforms (IDPs), golden paths, and self-service tooling * MLOps tooling and patterns – feature stores, model registries, evaluation pipelines, online/offline serving * Building AI agents – hands-on experience designing, building, or productionising agentic systems (e.g. with frameworks like ADK, LangGraph, or similar), including tool use, orchestration patterns, evaluation, and operating agents reliably in production * LLM application infrastructure – prompt management, evaluation, observability, guardrails * Infrastructure-as-code and configuration management at scale * Working with databases – MySQL, Postgres, etc. * Linux/Unix internals Join a world of stories At Storytel, we're a team of creative story lovers who thrive on collaboration and new ideas. Our workplace is friendly, dynamic, and full of opportunities to experiment and make an impact. We believe in trust, flat hierarchies, and empowering you to grow with us. Does this sound like your next story? Simply fill out the application form and share your CV or LinkedIn profile – no cover letter needed. Answer a few questions, and you're all set.