AI Engineer

AI Engineer Location: London (Hybrid 1 day per week onsite) Employment Type: Permanent Salary: £65,000 - £85,000 per annum Benefits: Private healthcare and dental insurance 25 days annual leave plus bank holidays Pension scheme with up to 8% employer contribution £2,000 annual learning and development budget Season ticket loan Cycle-to-work scheme Annual performance-based bonus About the Role: Our technology client is seeking a skilled AI Engineer to design and implement advanced AI solutions for their core platform. Youll work on cutting-edge projects that leverage Machine Learning (ML) and Natural Language Processing (NLP) techniques to solve complex, real-world challenges. This is an excellent opportunity for someone passionate about AI and innovation to thrive in a collaborative and fast-paced environment. Key Responsibilities: Design, implement, and optimise ML and NLP algorithms for tasks such as sentiment analysis, text summarisation, and predictive modelling. Build and maintain scalable data pipelines, APIs, and AI architectures to support production-ready solutions. Collaborate with engineering teams to integrate AI models into existing systems, ensuring seamless performance and scalability. Work closely with cross-functional teams, including product managers and domain experts, to identify and implement tailored AI solutions. Continuously monitor, troubleshoot, and refine models to improve performance, accuracy, and efficiency. Stay updated with the latest advancements in AI and incorporate innovative techniques into projects. What Were Looking For: Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn. Hands-on experience with NLP frameworks such as Hugging Face or spaCy. Strong understanding of data handling, including SQL, NoSQL, and building data processing pipelines. Familiarity with cloud platforms like AWS, Azure, or Google Cloud. Excellent problem-solving skills, strong communication abilities, and a collaborative mindset. Bonus: Experience in production AI/ML environments and publications in AI research.