Job Description

Machine Learning Engineer (NLP) II

Remote | UK | Full Time

The ML Engineer (Natural Language Processing) II is a mid-level position responsible for Natural Language models-based product development and maintenance. As a mid-level engineer in this role, you will work closely with senior engineers and non-technical business stake holders, contributing to the entire lifecycle of building and maintaining emerging LLM/NLP-based ML products. An important aspect of this role would be product design and execution bearing cost efficiency and speed. The ideal candidate would have skills in software programming, ML, agentic workflows, mathematics, and DevOps. Good communication skills with an ability to demystify ML algorithms and capabilities is a must, as stakeholders in ML products include software engineering teams as well as non-technical business partners.

What You'll Do

Curation, cleaning, and maintenance of datasets for NLP/LLM models. Develop, optimise, and deploy NLP/LLM models. Work with agentic frameworks like LangChain, CrewAI, or AutoGen to develop multi[1]step agents or workflows Work with Product stakeholders to capture and establish requirements for natural language models-based products. Collaborate with Product Managers, software engineering teams, and other departments to design NLP products for inference. Steer consolidation of dataset requirements, acquiring data, annotation, management, and version control for NLP applications. Monitor ML models in production, setting metrics to identify drift, and establish corrective measures for restoring model performance. Identify and implement appropriate tools for monitoring product performance in inference. Ownership of technical documentation related to datasets, model selection, training experiments, and production infrastructure. Continual learning and self-improvement with a focus on latest trends, techniques, and best practices in Machine Learning.

Who You Are

Bachelor's degree in computer science, Engineering, or a related field. 3+ years of experience in Machine Learning, Data Science, or a related field. Proficient in Python and working knowledge of ML libraries PyTorch and scikit-learn. You've built and deployed at least one LLM-based or NLP-heavy product in a real setting likely using agentic frameworks like LangGraph, LangChain, AutoGen etc. Strong mathematical, analytical, and problem-solving skills. Experience with retrieval systems, embeddings, and vector DBs like Weaviate or Pinecone. Good understanding of Machine Learning algorithms and models (Language processing models such as GPT, BERT, etc). Experience in designing ML products for inference in cloud. Ability to structure and execute an ML project from start to completion, for both training and inference. Excellent communication and teamwork skills; ability to work in a team. Experience with cloud computing platforms like AWS, Google Cloud, or Azure. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience with version control systems like Git.

Nice to have.

Masters in a specific field such as Statistics, Data Science, Machine Learning, or AI. Utilization of Generative AI models. Knowledge of SQL and NoSQL databases including construction of queries, query optimization, and schema design. API development using standard tools such as FastAPI or Flask

Administrative

The candidate must have the right to work in UK

Why People Love Working Here

We offer meaningful work and opportunities for career growth Competitive Salary Comprehensive benefit package (Medical, Dental, Vision) Paid vacation and general holidays Education Allowance Employee & Family Assistance Program (EFAP)

Inclusion & Equal Opportunity Employment

Zonda (formerly Hanley Wood | Meyers Research) is proud to be an Equal Opportunity Employer committed to diversity, inclusion & belonging. Here at Zonda, we are interested in every qualified candidate who is eligible to work in the UK.