13 machine learning engineer jobs found

We are looking for a   Senior   Machine Learning Engineer   to join the   AI Platform Team   at Smartly! Our team works on helping marketers make the most of their ad creatives (images, video, text) and campaigns (product and performance data). We build and experiment with AI-based solutions across the media and creative workflows.You will have the opportunity to take ownership of and work on high impact projects. Join us in building high impact ML-based solutions to help our customers to build better and more effective advertising experiences for their consumers. If you're a growth minded individual who has a passion for ML and the marketing space, this team is for you! As a Senior Machine Learning Engineer, you'll: Build ML-based software systems that enable our users to craft great advertising experiences and campaigns Work with a large span of datasets from image to video to audio to text to structured performance data. Contribute to and strengthen...

Overview Junior Full-time Permanent position About this job CHECK24 is   the   comparison portal: market leader and dynamic start-up in one. In agile teams, we make quick decisions and operate with flat hierarchies. With   state-of-the-art tools, technologies, and cutting-edge AI methods,   we drive data-driven innovation – always with the goal of creating real added value for our customers. Across more than 50 products, we work daily to further improve the user experience for our more than 20 million customers. Our   Search Team   within the CHECK24 AI Forge develops scalable AI solutions for search and ranking across various CHECK24 products. Search is a central entry and navigation point for our customers and covers demanding domains – from e-commerce product search and web-like navigation to travel search for hotels, destinations, and other products. Search and ranking are among the most demanding disciplines in applied machine learning. A...

Home office option Permanent position Full-time Berlin Permanent position (32-40 hours) N3XTCODER, Berlin / Remote option Are you a data scientist with a sharp analytical mind and a passion for developing creative solutions? Are you ready to work independently and lead projects to outstanding results? Then join our team and use your skills and experience for a good cause: analyze concepts, translate ideas into practice, and make them tangible for our partners. Become part of a network of professionals who leverage digital technology for social innovation. At N3XTCODER, you'll have the opportunity to work on impactful projects with a diverse and highly skilled team. We don't accept the status quo: Our team develops apps, websites, and platforms with NGOs, government institutions, and organizations working on solutions that have a social impact – inspired by the 17 Sustainable Development Goals (SDGs) defined by the...

We believe it takes great people to create a great product. That’s why our team lives our company values, and we hire based on them, too. Since 2010, Pipedrive has been on a mission to support sales and marketing teams with easy-to-use, powerful tools that make everyday work faster and easier. Today, our cloud-based software is trusted by over 100,000 companies and used in 179 countries. We have grown from a five-person team to a truly international company of over 850+ people, representing more than 50 nationalities, with ten offices distributed across Europe and the US. In 2020, Pipedrive received a majority investment from Vista Equity Partners, a global investment firm that invests exclusively in enterprise software, data and technology-enabled businesses, making Pipedrive the fifth unicorn from Estonia. We are looking for a Principal AI/ML Scientist & Engineer to lead a growing team of Applied Scientists and AI/ML Engineers. This is a role for a pragmatic...

The   Data & Analytics team   within the   Omexom Group   is responsible for the central data platform, data warehouse solutions, and business intelligence and reporting services. We support our business units in transforming data into valuable information and enabling data-driven decisions. From data integration and data modeling to analytics and reporting, we design modern data landscapes for a growing company. As a Data Engineer, you will actively shape the further development of our central data platform and create the foundation for a company-wide   single source of truth   . You will combine in-depth database expertise with modern data warehouse architecture and analytical thinking. What can you expect? Development and expansion of our company-wide data warehouse solutions as well as modeling of high-performance data structures for reporting, analytics and operational evaluations. Design and implementation of complex T-SQL solutions, stored procedures,...

Vibe with us - more than 700 colleagues across Europe are looking forward to meet you! We are one of the leading mobility service providers in Europe and enable our customers in over 40 countries to refuel, charge their e-vehicles, process tolls and use other innovative & digital solutions for fleet management. UTA Edenred was founded in 1963 and is now part of Edenred SE. In short: We simplify mobility. AI Enablement Engineer (all genders) full-time position in our Data & AI Division in the Frankfurt metropolitan area as soon as possible. Your tasks: Prototype, build and continuously improve AI assistants, applications, prompts and lightweight automations for identified business use cases Create, validate and maintain a scalable library of approved prompts, AI assistants and applications, ensuring quality, consistency and reusability Design, execute and optimize pilot initiatives with AI...

Holiday - Hake Presence / Mobile Professional experience Full-time Who are we? As one of the world's leading manufacturers of combined heat and power plants and heat pumps, the 2G Group stands for the highest quality and professionalism. With more than 1,000 colleagues in 19 national and international subsidiaries, we are continuously seeking qualified and dedicated employees* to support our teams and contribute to the ongoing growth of our group. Your tasks You translate technical requirements into powerful and robust data models, data structures, and ETL/ELT processes. You will continuously develop our enterprise data warehouse and lakehouse landscape, ensuring high performance and scalability. You develop data pipelines and notebooks and integrate data from Microsoft Dynamics 365 as well as other source systems. You transform and validate data and make it available for analysis and business applications;...

We're looking for a driven and tech-savvy   Working Student (Werkstudent)   to join our AI team. You’ll support the development and maintenance of generative AI models, help build intelligent agent scripts, work on computer vision tasks, and get your hands dirty with data scraping and analysis. If you're excited about large language models, multimodal AI, and computer vision—and want hands-on experience working with real-world applications—this role is for you! Key Responsibilities: Test AI models and agents from a user perspective to evaluate performance, edge cases, and output quality Write and iterate on agent prompts, scripts, and logic Support computer vision workflows: data collection, preprocessing, model evaluation Clean, analyze, and visualize datasets to uncover insights or improve models and define the data quality requirements Collaborate with researchers and engineers on experimentation and documentation You...

Your tasks As a Data Scientist for Applied AI, you'll work directly with our clients: in workshops, in ongoing collaboration with departments from Supply Chain, Finance, and Operations, and during on-site go-lives. Based on our DecisionOS Platform, you'll develop solutions that don't just end up on your laptop, but transform decisions in our clients' everyday lives. You'll spend most of your time understanding client problems and mapping them to the machine learning, GenAI, and data capabilities that the platform provides. You manage customer cases from a technical perspective: classifying requirements, assessing feasibility, setting expectations – in direct coordination with the customer's specialist department. You conduct the technical discussion with the client: You explain results in a way that is understood by the specialist department and make it transparent why a result looks the way it does. You configure and improve forecasting and optimization solutions...

Your tasks As a Staff AI Backend Engineer, you are responsible for the technical backbone of our decision intelligence platform and the architecture that makes it scalable. You define the direction for building scalable backend services that make our forecasting and optimization models, agent-based workflows, and semantic data layer productively usable. You work AI-first: Claude Code or comparable CLIs, MCPs, and your own skills are your standard toolkit – and you determine how the rest of the team uses them. You think not only in terms of endpoints and databases, but also in terms of customer value, product impact, and adoption – and you consistently strengthen the system rather than just solving the individual task. With a strong product mindset, you set the technical direction: You define how we measure feature adoption, instrument usage patterns, and manage the roadmap together with Product and FDE – responsible for outcomes, not output. Scalable backend services...

Your tasks As an AI Backend Engineer, you'll build the technical backbone of our decision intelligence platform. You'll develop scalable backend services that make our forecasting and optimization models, agent-based workflows, and semantic data layer productively usable. You work AI-first: Claude Code or comparable CLIs, MCPs, and your own skills are part of your standard toolkit. You think not only in terms of endpoints and databases, but also in terms of customer value, product impact, and adoption, and you want to strengthen the system, not just solve the task at hand. You think in terms of impact and have a strong understanding of the product: You measure whether your features are actually being used, observe usage patterns, and refine the next iteration together with Product and FDE. You design, build and operate scalable backend services in Python using FastAPI and pydantic, which productively support agent workflows, forecasting and replenishment. You design...

About the company Turning marketing into a market-domination weapon, we created a new category — the marketplace for future customers. Businesses shop for leads as they shop for products in e-commerce: you see everything about a lead before you buy — full transparency, control, and predictable outcomes. We're the #1 lead marketplace in the USA, and we're accelerating. Role overview We're looking for a Senior AI Product Engineer to build the AI operating layer behind our marketplace. You take a valuable but unclear business problem — improve lead quality, cut refunds, automate a manual workflow, extract intelligence from calls — and turn it into a dependable production system end-to-end: investigate, define success, design, build, deploy, and improve on real usage data. You are a one-person AI product team for high-leverage problems, not a spec-taker. We are expanding beyond real estate into new service-business niches, and growth is powered by reusable software and...

MUNICH Tasks Have you already gained initial practical experience in cloud, DevOps, or software engineering and are you looking to further develop your skills in modern cloud and platform environments? Are you driven by automation, well-designed technical solutions, and a desire to continuously learn new things? Are you also enthusiastic about using AI tools to increase engineering productivity and operational quality? At   Riverland Reply,   you can expand your skills in real enterprise projects. The following tasks await you: Joint   implementation and further development   of cloud and platform solutions   (AWS, Azure)   in collaboration with experienced cloud and platform engineers – always according to   DevOps and DevSecOps principles. Building and operating   automated infrastructures   using   Infrastructure-as-Code   and modern   CI/CD pipelines,   including the use of AI-supported tools for code quality, testing and automation in...