A little about us Yoello is a fast-growing UK AI company that specialises in providing mobile payment solutions, connecting merchants and customers in the physical world and revolutionising the way payments are made. Following a UK launch in 2020, Yoello has already expanded globally and continues to expand rapidly into new markets and product developments. Yoello is a multi-award winning UK startup with eager expectations for exponential growth in the future. Yoello is one of the most exciting, multi-award winning startups in the UK and we’d love you to join our fast-growing team to help continue our journey.
What You'll Do as an AI Engineer: - Create disruptive products leveraging AI to provide innovative solutions across a number of verticals - Work closely with the Software Engineering teams to integrate machine learning models into production systems - Create custom Machine Learning solutions - Implement machine learning algorithms and computer vision techniques to accurately interpret and replicate user actions from videos. - Train and fine-tune Language Learning Models (LLMs) to meet application-specific requirements - Work with natural language processing (NLP) to understand user narratives and convert them into actionable tasks for the AI Agent. - Act as an internal subject matter expert on AI technologies, particularly in areas like word embeddings, model fine-tuning strategies, and vector database management - Lead internal workshops and training sessions to elevate the team's understanding and application of core AI technologies - Leverage Open-Source Models and OpenAI APIs to build scalable AI solutions - Innovate and develop new applications using generative AI and other machine learning techniques - Assist in the evaluation and implementation of AI tools and frameworks - Drive initiatives for performance tuning and optimization of existing machine learning models through advanced fine-tuning techniques, thus ensuring that they meet or exceed specified metrics and KPIs. - Keep up-to-date with the latest advancements in AI and machine learning - Work on multi-disciplinary projects and contribute to our culture of continuous improvement
Experience and Skills That We Are Looking For in You: - Strong proficiency in programming languages such as Python, JavaScript, and frameworks/libraries relevant to machine learning and computer vision (e.g., TensorFlow, PyTorch, OpenCV). - Extensive understanding of machine learning algorithms and technologies including Neural Networks, NLP, and Computer Vision - Proficient in generative AI technologies - Familiarity with Open-Source Models and OpenAI APIs - Experience with deploying machine learning models into production environments - Excellent understanding of data structures, data modeling, and software architecture - Strong programming skills and experience with API development - Excellent problem-solving skills and the ability to work in a fast-paced, innovative startup environment. - Excellent communication skills, both written and verbal - A Master's or Ph.D. in Computer Science, Data Science, AI, or a related field is desirable
Experience with the Following Would Be Beneficial: - Familiarity with Kubernetes, Docker, and other containerization technologies - Experience with AWS cloud computing platform - Prior experience in working with large-scale data sets and big data technologies like Hadoop, Spark, etc. - Previous work on Open-Source projects and contributions to the AI community - Exposure to Reinforcement Learning algorithms and models - Experience in working in a multi-disciplinary team and agile environments - Experience in edge AI technologies - Familiarity with mobile machine learning libraries and deployment
ActionModel is building the next generation of AI — one that can use the internet like a human. Our intelligent agents interact directly with websites to complete real tasks: clicking, typing, navigating, and executing workflows across any platform.
We’re pioneering a new layer of automation that works through the user interface, not just APIs — unlocking the full potential of AI-powered productivity. By learning from real human behavior, the ActionModel gets smarter with every interaction.