IT AI/ML Developer
Role Overview
We're seeking a hands-on AI/ML Engineer with a passion for solving real-world problems using cutting-edge technologies. This role focuses on building and deploying solutions using large language models (LLMs), traditional machine learning techniques, and data-centric workflows. You'll work closely with cross-functional teams to design, test, and scale AI tools that deliver measurable business value.
Ideal candidates will bring curiosity, clarity, and creativity to their work-whether they've built prototypes with tools like ChatGPT, cleaned messy datasets using Python, or explained complex AI concepts in simple terms to non-technical colleagues.
Key Responsibilities
AI Solution Design & Development
- Design and iterate prompt structures and workflows using LLMs and other AI tools.
- Build ML models using techniques like XGBoost, decision trees, and regression models.
- Collaborate with business and technical stakeholders to refine AI behavior.
- Analyze model performance, resolve edge cases, and enhance output reliability.
- Document model assumptions, risks, and behaviors in a transparent, testable format.
Data Preparation & Integration
- Extract and prepare structured and unstructured data (e.g., PDFs, CAD metadata).
- Clean, transform, and validate datasets to optimize model performance.
- Integrate AI outputs into existing tools and workflows.
Deployment & Testing
- Package and test models using Python, Docker, Conda, and Jupyter.
- Support deployment into cloud environments and user-facing applications.
Qualifications
Minimum Requirements
- Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).
- Strong Python skills and experience with LLMs or generative AI.
- Familiarity with ML techniques such as XGBoost, decision trees, or regression.
- Experience with data cleaning, parsing, and transformation.
- Comfortable working in cross-functional teams.
Preferred Qualifications
- Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Hugging Face).
- Experience in manufacturing or engineering-adjacent environments.
- Exposure to cloud platforms (e.g., AWS, Azure) and API integration.
- A curious mindset and a track record of iterating quickly on real-world use cases.
- Ability to clearly explain AI concepts to non-technical audiences.
What We Value
We're especially interested in candidates who can:
- Share examples of AI or automation projects they've built or tested.
- Demonstrate how they've applied ML in production or pilot settings.
- Show enthusiasm for solving problems and learning from feedback.
FAQs
Congratulations, we understand that taking the time to apply is a big step. When you apply, your details go directly to the consultant who is sourcing talent. Due to demand, we may not get back to all applicants that have applied. However, we always keep your resume and details on file so when we see similar roles or see skillsets that drive growth in organizations, we will always reach out to discuss opportunities.
Yes. Even if this role isn’t a perfect match, applying allows us to understand your expertise and ambitions, ensuring you're on our radar for the right opportunity when it arises.
We also work in several ways, firstly we advertise our roles available on our site, however, often due to confidentiality we may not post all. We also work with clients who are more focused on skills and understanding what is required to future-proof their business.
That's why we recommend registering your resume so you can be considered for roles that have yet to be created.
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