AI Engineer

Company Description Flywheel is a growth-focused company that helps founders build scalable content engines with a clear emphasis on measurable revenue outcomes. The team operates at the intersection of content, technology, and distribution, ensuring that clients reach the right audiences at the right time. Flywheel partners with high-potential startups whose backers include leading firms such as Andreessen Horowitz (a16z), Accel, and Y Combinator. This environment offers team members exposure to ambitious founders, fast-growing companies, and innovative go-to-market strategies.Role Description This is a full-time, on-site AI Engineer role based in the London Area, United Kingdom. The AI Engineer will design, build, and deploy machine learning models that power Flywheel’s content and distribution products, with a focus on driving engagement and revenue for clients. Day-to-day responsibilities include developing and refining neural network architectures, implementing NLP pipelines for content analysis and generation, and applying pattern recognition techniques to identify trends and opportunities in large datasets. The role also involves collaborating with software engineers and product teams to integrate AI models into production systems, monitoring model performance, and iterating based on user feedback and business metrics. The AI Engineer will contribute to technical roadmap discussions, help evaluate new tools and frameworks, and document solutions to ensure maintainable and scalable AI systems.Qualifications Strong foundations in Computer Science, including algorithms, data structures, and software engineering principles.Hands-on experience with Neural Networks and Pattern Recognition, including experimentation, evaluation, and optimization.Practical expertise in Natural Language Processing (NLP), such as text classification, embeddings, and language model integration.Proficiency in Software Development, preferably in Python or similar languages, and familiarity with modern ML frameworks (e.g., PyTorch, TensorFlow).Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, or a related technical field, or equivalent practical experience.Experience deploying models to production (e.g., APIs, microservices) and working with cloud platforms (such as AWS, GCP, or Azure) is highly beneficial.Ability to collaborate in a cross-functional, fast-paced startup environment and communicate complex technical concepts clearly.Interest in content, distribution, and growth-focused products; prior work in marketing-tech or analytics is a plus.