Senior Machine Learning Engineer – Applied Ai

Zinkworks is a global leader in innovation, headquartered in Athlone, Ireland, with three offices locations worldwide.
We utilise the latest cutting-edge technologies to bring industry-leading expertise to our Telecommunication and Financial services clients.
We are adept at developing custom innovations that streamline our clients' workflows and improve operational efficiency.
With a commitment to quality and customer satisfaction, we have earned a reputation as a trusted partner for businesses seeking reliable software services.
What We Are Looking For
As a
Senior Machine Learning Engineer – Applied AI & Intelligence Systems
, you will lead the design, development, and operationalization of intelligent ML solutions across our platform.
Your primary focus will be to architect and implement scalable machine learning components—such as drag-and-drop model modules, automated training pipelines, model lifecycle orchestration, and self-sustaining feedback loops.
As a
Senior Machine Learning Engineer – Applied AI & Intelligence Systems
, you will drive the design and deployment of advanced ML capabilities that power intelligent, scalable, and user-friendly systems.
You'll work across the full model lifecycle—from data exploration to integration—enabling intuitive AI-driven workflows that support anomaly detection, classification, knowledge extraction, and more.
Your contributions will ensure that both technical and non-technical users can leverage AI effectively and responsibly.
Key Focus Areas
Anomaly Detection & Forecasting – Detect faults or unusual behaviours in large-scale systems.
Anticipate what might break before it does.
Scoring & Classification Systems – Develop fast, reliable models for real-time decision-making on tabular or sequential data
Clustering & Pattern Recognition – Uncover hidden patterns in complex datasets, such as user behaviour or network activity
Transformer-Based Applications – Apply pretrained transformer models for:
Knowledge extraction from logs and documents
Embedding generation for similarity search or matching
Lightweight LLM-style Q&A or summarization in closed environments
LLM Evaluation & Integration – Evaluate and integrate open-source or API-based LLMs (e.g., Mistral, LLaMA, OpenAI, Claude, Gemini) to determine practical value and guide responsible usage whether using open source (Mistral, LLaMA) or APIs (OpenAI, Claude, Gemini)
Your Toolkit (or Willingness to Learn)
One or more ML frameworks – PyTorch, TensorFlow, JAX.
Transformer tooling – HuggingFace Transformers, sentence-transformers, LangChain/RAG
Cloud fluency – GCP, AWS, or Azure.
VertexAI experience is a plus.
Model monitoring & lifecycle – MLflow, W&B, or custom-built tools.
Why Work With Us?
At Zinkworks, we champion innovation and creativity within our diverse and supportive work environment.
We are committed to providing avenues for professional growth and development, ensuring you become a pivotal part of charting the future of technology solutions.
Join us if you are passionate about leading-edge software development and are seeking a fulfilling career with diverse challenges and career advancement opportunities.
Zinkworks is a trusted partner to Telecoms and Financial Services organizations around the world.
We help modernize legacy systems, move mission-critical systems into the cloud, and exploit the power of AI-driven automation.
Our people thrive in technically complex environments where our commitment to quality and our expertise in software innovation and cutting-edge technologies helps our clients prepare for the future, accelerate growth and improve operational efficiency.
We build long-lasting relationships with our customers to accompany them through their innovation journey.
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