bout the Company
An innovative tech company is expanding its team to push the boundaries of AI for positive impact, enhancing human performance and wellbeing. This is a unique opportunity to join a small, collaborative team, working closely with leadership to shape impactful AI-driven products. The role offers a hybrid working model, combining remote flexibility with in-person collaboration.
Role Overview
This full-time position, based in Belfast, is for a Senior Machine Learning Engineer passionate about driving advanced AI solutions in the human performance and wellbeing space. Responsibilities include scoping, designing, and developing machine learning systems, implementing cutting-edge ML algorithms, and staying up-to-date with industry advancements.
Key Qualifications
- Expertise in prompt engineering, LLM fine-tuning, and retrieval-augmented generation (RAG).
- Strong experience in dataset creation, model training, and general machine learning, including network design and optimization.
- Proficiency in Python; experience with Docker and CI/CD pipelines is a plus. Familiarity with MLOps and Terraform is beneficial.
- Knowledge of RESTful API development is advantageous.
- Experience with automated testing frameworks (e.g., pytest).
- Hands-on experience with cloud platforms (preferably GCP) for model training and deployment.
- Ability to align machine learning solutions with user experience goals and adapt quickly based on feedback.
About the Company
An innovative tech company is expanding its team to push the boundaries of AI for positive impact, enhancing human performance and wellbeing. This is a unique opportunity to join a small, collaborative team, working closely with leadership to shape impactful AI-driven products. The role offers a hybrid working model, combining remote flexibility with in-person collaboration.
Role Overview
This full-time position, based in Belfast, is for a Senior Machine Learning Engineer passionate about driving advanced AI solutions in the human performance and wellbeing space. Responsibilities include scoping, designing, and developing machine learning systems, implementing cutting-edge ML algorithms, and staying up-to-date with industry advancements.
Key Qualifications
- Expertise in prompt engineering, LLM fine-tuning, and retrieval-augmented generation (RAG).
- Strong experience in dataset creation, model training, and general machine learning, including network design and optimization.
- Proficiency in Python; experience with Docker and CI/CD pipelines is a plus. Familiarity with MLOps and Terraform is beneficial.
- Knowledge of RESTful API development is advantageous.
- Experience with automated testing frameworks (e.g., pytest).
- Hands-on experience with cloud platforms (preferably GCP) for model training and deployment.
- Ability to align machine learning solutions with user experience goals and adapt quickly based on feedback.
