Machine Learning Engineer - LLMs

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 year
• Equity opportunities
• 30 days paid holiday
• Enhanced parental leave
• Salary: £75,000 - £95,000