AI Engineer

Salary: £65,000 - 105,000 per year

Requirements:

• Bachelors degree in Computer Science or a related field with 3 years of working experience, or a Masters degree in Computer Science or a related field with 1 year of working experience.
• Proficiency in Python.
• Solid understanding of data structures and algorithms.
• Proficiency in machine learning, including neural networks and the Transformer architecture.
• Familiarity with foundational NLP tasks such as tokenization, Named Entity Recognition, and sentiment analysis.
• Experience with modern approaches built on pretrained language models, including fine-tuning and transfer learning for text and token classification.
• Working knowledge of large language models, including prompting and retrieval-augmented generation (RAG).
• Experience or coursework in deep learning frameworks such as PyTorch or TensorFlow.
• Strong problem-solving skills and curiosity for learning new technologies.
• Good verbal and written communication skills.
• Familiarity with cloud platforms such as Azure, AWS, or Google Cloud.
• Basic knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
• Interest in infrastructure-as-code tools like Terraform.
• Passion for exploring the intersection of NLP and emerging fields such as generative AI or multimodal systems.

Responsibilities:

• Contribute to the development of scalable algorithms for processing large datasets.
• Implement and evaluate machine learning and deep learning algorithms for Natural Language Processing and Understanding.
• Assist in the design, development, and testing of ML models and pipelines for real-time processing of unstructured data.
• Collaborate with senior team members to analyze the impact of algorithm changes.
• Learn and grow under mentorship while gaining exposure to industry-standard NLP tools and techniques.

Technologies:

• AI
• AWS
• Azure
• Cloud
• Docker
• Fine-tuning
• Kubernetes
• Machine Learning
• PyTorch
• Python
• RAG
• TensorFlow
• Terraform
• DevOps
• Support

More:

We are Meltwater, and we believe that when you have the right people in the right environment, great things happen. Our innovative social listening platform helps our 27,000 customers around the world make better business decisions through data, and our global team of developers, innovators, problem-solvers, and high-performers drives that mission forward. We offer flexible paid time off, a Creative Pension, a cycle-to-work scheme, Simply Health, Vitality Health Insurance, a CalmApp subscription, family leave that grows with tenure, and ongoing professional development opportunities. Our diverse team of 2,200+ employees works across 50 locations in 25 countries, and this role is based at our London office at 20 Farringdon St, London EC4A 4AB. We foster an inclusive, award-winning culture where people can make an impact, learn every day, and feel a sense of belonging.

last updated 37 week of 2026