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The ideal candidate for this Senior Machine Learning Engineer role has a multi-faceted skillset encompassing data analysis, data science and software engineering. As part of the AI Innovation Lab, the candidate will leverage this powerful combination of skills to explore how cutting-edge AI technologies can be applied to drive our organisation’s AI strategy forward. They will design and build innovative AI prototypes, blending rigorous data science experimentation with robust software engineering to push the boundaries of our technical capabilities.
What you will do:
What you will do:
- Analyse and interpret large data assets within our cloud-hosted data warehouse.
- Collaborate across diverse business domains to solve complex analytical problems and build advanced AI solutions in areas such as predictive modeling, fraud detection, and agentic AI.
- Utilise combined knowledge of data structures, analytics, machine learning algorithms, software engineering and cloud computing to independently prepare datasets, conduct analytics, and develop deployable solutions.
- Lead projects through all phases of development and delivery from analysis & design all the way through to deployment.
- Apply development and testing best practices and demonstrate excellent software craftsmanship to produce maintainable, quality solutions.
- Define and evaluate the technical work of junior team members, guiding them on deliverable quality and accuracy.
- Package, summarise, visualise, and translate analytical findings into compelling narratives for both technical and non-technical stakeholders, clearly communicating the business impact.
- Stay up-to-date with emerging AI tools and technologies, evaluating their potential to advance team projects.
- Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering), or equivilent experience.
- Extensive experience in a related role.
- Hands-on experience leveraging cloud AI platforms (ideally Vertex AI on GCP).
- Proficient in Python and SQL with an understanding of database design techniques (such as partitioning) and performance tuning (such as query optimisation).
- Proven expertise in utilising advanced statistical concepts to design predictive machine learning algorithms, ensuring rigorous evaluation and optimisation for accuracy and performance.
- Strong analytical and problem-solving skills, with a proven ability to navigate ambiguity, think creatively, and chart a clear plan of action when developing new prototypes without detailed requirements.
- Excellent communication and presentation skills.
- Experience implementing agentic AI solutions, utilising elements such as multi-agent architectures, Retrieval-Augmented Generation (RAG) pipelines, or tool integration via MCP (Model Context Protocol) servers.
- Experience with advanced AI techniques, including deep neural networks and their applications in natural language processing.
- Knowledge of the financial services industry.
- Strong grasp of software engineering best practices such as the SOLID principles, peer reviewing and source control using Git
- Contributions to open-source AI projects.
- A Masters degree in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).
Key Skills
Ranked by relevance
ai
machine learning
cloud
prototypes
natural language processing
data structures
neural networks
data warehouse
data analysis
ai tools
python
git
sql
gcp
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- Posted
- Jul 01, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Dublin
- Company
- Equifax
Industries
Financial Services
Categories
Engineering
Information Technology
Related Jobs
3 roles aligned with this opportunity
View Job Details
Related
Software Engineer II
2026-07-04
Full-time
Not Applicable
Ireland
Financial Services
Engineering
View Job Details
Related
Devops Engineer - DDT
2026-07-03
Full-time
Not Applicable
Ireland
Financial Services
Engineering
View Job Details
Related
Senior Backend Engineer - Cards
2026-07-01
Full-time
Mid-Senior
Germany
Financial Services
Analyst