
People-friendly forms that engage and convert
Typeform, headquartered in Sant Martí de Provençals, Barcelona, is a leading SaaS company specializing in conversational forms and surveys that enhance online engagement. With over 125,000 paying customers, including brands like Airbnb and HubSpot, Typeform generates over 500 million interactions an...
Typeform offers flexible working hours, a learning and development budget, 23 days of holiday (excluding bank holidays), work-from-home opportunities,...
Typeform fosters a remote-friendly culture that emphasizes user experience and product innovation. The company values accessibility and integration, e...

Typeform • Germany (Remote) ; Ireland (Remote); Netherlands (Remote) ; Portugal (Remote) ; Spain (Remote) ; United Kingdom (Remote)
Typeform is hiring a Senior Machine Learning Engineer to design, develop, and deploy scalable machine learning systems. You'll work with technologies like Docker and Python to enhance Typeform's AI-powered products. This role requires expertise in machine learning and relevant programming skills.
You have a strong background in machine learning engineering, with at least 5 years of experience in designing and deploying machine learning models. Your expertise in Python and familiarity with frameworks like TensorFlow and PyTorch enable you to build robust ML solutions that are production-ready. You understand the importance of data quality and have experience in building data pipelines that ensure the integrity and accessibility of data for model training.
You are proficient in using Docker for containerization, which allows you to streamline the deployment of machine learning applications. Your experience with scalable systems means you can handle large datasets and optimize model performance effectively. You are a collaborative team player who enjoys working closely with cross-functional teams, including data scientists and product managers, to implement innovative AI solutions that enhance user experiences.
Experience with generative AI and large language models (LLMs) is a plus, as you will be contributing to the development of cutting-edge AI-powered products. Familiarity with cloud platforms such as AWS or GCP can also be beneficial in this role, as you may be involved in deploying models in cloud environments.
As a Senior Machine Learning Engineer at Typeform, you will lead the design and implementation of machine learning systems that drive personalized user experiences. You will be responsible for building and deploying scalable ML solutions, ensuring they are production-ready and capable of handling real-world data. Your role will involve collaborating with data scientists to develop and refine ML models, as well as working with product teams to integrate these models into Typeform's applications.
You will also focus on optimizing existing machine learning workflows and pipelines, identifying areas for improvement, and implementing best practices for model training and evaluation. Your contributions will directly impact how Typeform leverages data to enhance its offerings, making it easier for users to collect information in a conversational manner.
In addition to technical responsibilities, you will mentor junior engineers and contribute to the overall growth of the Data & Insights team. You will participate in code reviews, share knowledge, and help foster a culture of continuous learning and improvement within the team.
Typeform is a fully remote company, allowing you to work from anywhere in the UK, Ireland, Germany, Spain, Portugal, or the Netherlands. We offer a competitive salary and benefits package, including opportunities for professional development and growth. You will be part of a diverse and inclusive team that values collaboration and innovation, working on projects that have a meaningful impact on how businesses collect and utilize data.
Join us at Typeform and help shape the future of data collection with your expertise in machine learning. We encourage you to apply even if your experience doesn't match every requirement — your unique perspective could be just what we need.
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