Role overview
Job Title Senior Machine Learning Engineer
Job Description
As a Senior Machine Learning Engineer, you’ll take ownership of designing, building, and deploying advanced NLP systems and LLMs. You’ll experiment, iterate, and build quickly, working alongside a cross-functional team in a dynamic, fast-fail environment. Your work will have a direct impact on our product and business as we push the boundaries of what’s possible with AI
What you'll work on
Build & Iterate Fast: Design, experiment, and deploy state-of-the-art NLP and LLM models. Quickly test hypotheses, optimise, and iterate based on real-world feedback.
Lead Innovation: Push the envelope with cutting-edge NLP techniques and models (transformers, GPT, BERT, etc.) to solve challenging problems in language understanding, generation, extraction, and more.
Shape the Product: Collaborate with engineers, product teams, and business leaders to align machine learning capabilities with product goals.
Fail Fast, Learn Fast: Drive rapid experimentation and maintain a learning-oriented mindset to pivot quickly when necessary.
Scale and Optimise: Take models from prototypes to production, optimising for performance, scalability, and efficiency.
What type of person fits the role :
Experience: 6+ years in machine learning, with deep expertise in NLP and LLMs/SLMs
LLMs: Strong knowledge of large language models (LLMs) and experience with frameworks and libraries like Hugging Face, OpenAI API, LangChain, DeepSpeed, LlamaIndex, LiteLLM, vLLM, etc.
Experience in model deployment and optimisation for inference speed and scalability is a plus.
Prompt Engineering: Proven ability to design and optimise prompts for LLMs, including techniques like few-shot, zero-shot, chain-of-thought, and prompt tuning.
RAG: Hands-on experience with Retrieval-Augmented Generation (RAG) to improve model performance in tasks such as question answering and document retrieval.
Skills: Strong Python skills, experience with cloud ML platforms (AWS preferred), and ML frameworks (PyTorch, TensorFlow). Familiarity with Docker and Kubernetes for containerisation and deployment.
Mindset: Entrepreneurial attitude with a "Build Fast, Fail Fast" approach, thriving in agile, iterative environments.
About UnderwriteMe
UnderwriteMe is an Insurtech software business and subsidiary of Pacific Life Re (PL Re), a global life and pensions reinsurance firm. We have a vision to help everyone purchase protection insurance by using data and disruptive technology to transform our partners and markets in order to make their underwriting processes as quick and efficient as possible.