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Zinkworks
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Senior Machine Learning Engineer – Applied AI & Intelligence Systems
Ireland
· Full-time
·
Mid-Senior
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
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.
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)
- 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.
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.
Key Skills
Ranked by relevance
ai
machine learning
tensorflow
pytorch
mlflow
cloud
aws
gcp
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- Posted
- Aug 29, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Athlone
- Company
- Zinkworks
Industries
Software Development
Categories
Engineering
Information Technology
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3 roles aligned with this opportunity
View Job Details
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DevOps Engineer
2026-05-25
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Engineering
View Job Details
Related
Senior Unity SDK Developer
2026-05-29
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View Job Details
Related
Cloud Backend Engineer - Adobe Cloud Platform
2026-06-10
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