Job Title

Company: My client is on a mission to combat misinformation and plagiarism in the publishing industry, using cutting-edge technology around Large Language Models (LLMs). They specialise in quickly assessing the validity of research, allowing for faster turnaround times for their clients. As a result of their rapid growth, they are now looking to expand their team with a Machine Learning Engineer.Role: As an ML Engineer, you will focus on the productionisation of AI models, working with LLMs to enhance the speed and accuracy of research validation. This is a fully remote, UK-based role within a growing 20-person company that values innovation and pushing the boundaries of AI. You will be part of a collaborative, fast-paced team with a fail fast, learn fast mentality, where experimentation and learning from challenges are encouraged.Key Responsibilities:Take machine learning models from development to production, ensuring they are scalable, reliable, and efficient.Fine-tune and optimize Large Language Models using frameworks like Hugging Face and LangChain to meet specific business needs.Contribute to the development of new machine learning models and algorithms to improve the accuracy and speed of research validation.Work closely with engineers and data scientists to ensure smooth deployment of AI models and continuously improve processes.Contribute to a 'fail fast, learn fast' culture, experimenting with new approaches and technologies to drive AI innovation forward.Key requirements:Strong proficiency in Python and experience in coding and optimising machine learning models.Hands-on experience with LLMs (Hugging Face, LangChain) and deep learning frameworks like PyTorch and TensorFlow.Experience in model development and the productionisation of AI solutions.Familiarity with techniques for fine-tuning and adapting pre-trained models for specific tasks.Strong problem-solving skills, with the ability to quickly iterate and improve on existing models and workflows.A proactive mindset, comfortable working in a fast-paced, remote team.Benefits:Fully remote in the UK, with the flexibility to work abroad for 30 days a yearEquity opportunities 30 days paid holidayEnhanced parental leave Salary: 75,000 - 95,000