Senior Machine Learning Engineer

ZipRecruiter; Belfast; On-site; GBP 50,000 - 80,000; Full time

Job summary

A pioneering tech company is seeking a Senior Machine Learning Engineer to join their innovative team. This role focuses on developing impactful AI solutions and shaping the product roadmap, perfect for candidates passionate about driving real change in the tech industry.

Responsibilities

• Scope, design, and develop machine learning systems.
• Implement suitable ML algorithms and stay updated with trends.

Skills

Prompt Engineering

Model Fine-Tuning

Dataset Creation

Model Training

Python

Docker

CI/CD Pipelines

RESTful APIs

Automated Testing (pytest)

Cloud Platforms

Job description

Job Description

Senior Machine Learning Engineer - Tech for Good

This company is making waves in it's industry. Born from a mission to drive real change, this company has already formed prestigious partnerships, and they're only getting started.

This is an exciting opportunity to join a small, collaborative team, working closely with technical leadership to help shape the product roadmap and develop impactful AI solutions.

As the Senior Machine Learning Engineer, you'll be responsible for scoping, designing, and developing machine learning systems, implementing suitable ML algorithms, and staying current with emerging trends and technologies in the field.

You'll ideally have the following skills and experience:

• Expertise in prompt engineering and fine-tuning large models
• Experience with retrieval-augmented
• Strong background in dataset creation, model training, and development; broader ML knowledge (e.g. network design and optimisation) is a bonus
• Strong python skills
• Experience with Docker and CI/CD pipelines
• Experience developing RESTful APIs
• Familiarity with automated testing frameworks such as pytest.
• Experience with cloud platforms) for model training and deployment.

The salary range for this is negotiable on experience - happy to discuss.

Get in touch for full info - submit your CV to arrange a confidential call, or contact Carol Donnelly on [e-mail]