Principal AI/ML Engineer

This role is based in an AI/ML team that is already working on projects involving Generative AI, Information Retrieval, NLP/NER/RE, document classification and data science, and has won awards and recognition for its work. The team s future projects will be in diverse areas, such as regulatory, clinical, legal and HR. Versatility is key, with an ability to quickly understand domain data and requirements and translate them into solutions. You will interact with architects, software and data engineers, modelers, data scientists, other AI/ML engineers, product owners as well as other team members in Clinical Solutions and R&D. You will actively participate in creating technical solutions, designs, implementations and participate in the relentless improvement of R&D Tech systems in alignment with agile and DevOps principles.
A total of three Senior AI/ML Engineer positions are available, and we re looking for demonstrable expertise across a selection of the following key competencies: Generative AI, model building, training and evaluation, natural language processing, classification problems and software development. You should also be versed in agile ways of working, source control and the Azure cloud.
Responsibilities
You ll have the opportunity to work on a mixture of the following:
Generative AI
Design and develop RAG based applications.
LLM fine-tuning, including preparation of training sets from internal data
Agent based applications
Evaluating use-case specific LLMs
AI/ML
NLP: Named Entity Recognition across a variety of unstructured data.
Evaluating and training BERT-like models such as GLiNER, NuNER for NER tasks. Analysing trade-offs between these models and LLMs for NLP tasks.
Relationship Extraction: Evaluating different models for use-case specific RE, such as ATG.
Document and text Classification
Data Science: Data clustering algorithms, feature engineering
Evaluate and integrate new technologies and models.
Cross-team collaboration, identifying innovations and architecting solutions.
Provide leadership and technical direction to various business units and partners
Minimum Qualifications and Experience
The post requires a healthy coverage of the following:
Bachelor s degree in computer science
5+ years of experience working in AI/ML
Generative AI: Demonstratable experience of RAG, including chunking strategies, vectorising and indexing data, retrieval strategies and reranking, prompting strategies, function calling. Our current tech-stack is OpenAI, LangChain, Azure AI, Python, pg_vector, Sinequa. Experience of multi-agent systems (LangGraph, Autogen, CrewAI etc.) would be a plus, as would experience of multimodal LLMs (like GPT4 Omni, Qwen-vl, DocOwl etc.) for understanding complex documents and images. Experience in training, evaluating and hosting open source LLMs would be a major benefit.
AI/ML: Hands on experience with training and evaluating BERT-like models in real-world applications, especially in NLP or classification problems.
Hands on experience with ML tools like TensorFlow, PyTorch etc.
Some experience with MLOps would be very beneficial.
Experience with data science libraries such as NLTK, Scikit-learn, SciPy, (Sci)SpaCy etc.
Experience with building search applications using Azure Search, Sinequa, Elastic or anything Lucene-based would come in handy but is not necessary.
Familiarity with Azure cloud (AKS, Azure AI, ADF, Document Intelligence etc.), though you ll work with experts to gain this skill as well.
Excellent problem-solving and programming skills in Python
Excellent communication skills