Find Machine learning software development engineer, ai ops integration Jobs in Dublin, County Dublin

Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
- Spanish
- Azure
- Computer Science
Customer Success Manager
Pluralsight —Dublin, County Dublin
- Full-time
- In-person
- Annual leave
Senior Cloud Networking Manager
eBay Inc. —Dublin, County Dublin
- Full-time
- Computer Science
- Master's degree
- Bachelor's degree
ASIC Digital Design, Sr Engineer
Synopsys —Dublin, County Dublin
- Master's degree
- Bachelor's degree
- No degree
Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
ASIC Digital Verification Architect
Synopsys —Dublin, County Dublin
- Leadership
- Communication skills
Engineering Manager, Embedded Product Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Enterprise Growth Account Executive, DACH
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- Leadership
- Annual leave
6d
Senior Engineering Manager, Customer Agent
Intercom —Dublin, County Dublin
- Hybrid work
- Sales
- AI
- Annual leave
- Work from home
Enterprise Account Executive, Nordics
Pluralsight —Dublin, County Dublin
- Full-time
- No degree
- Contracts
- In-person
- Annual leave
5d
Success Architect - Agentforce/Data Cloud (French Speaker)
Salesforce —Dublin, County Dublin
- Full-time
- Remote
- Azure
- Salesforce
- Java
5d
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply
Software Engineer 3
MongoDB —Dublin, County Dublin
- Hybrid work
- Computer science
- Azure
- Java

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Data Analytics and AI Team Lead
Spanish Point Technologies —Clontarf, County Dublin
Education: A degree in Computer Science or an equivalent qualification. Spanish Point is an innovative software company specialising in Microsoft technologies…
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Data Analytics and AI Team Lead

Spanish Point Technologies -
Clontarf, County Dublin

Apply Now

Job details

Qualifications

Spanish
Power BI
Azure
Computer Science
DevOps
C#
Microsoft SQL Server
NoSQL
.NET
SQL
JavaScript
Organisational skills
AI
TypeScript
Communication skills
Python
MySQL

Full job description

Team: Data Analytics and AI

About the Company

Spanish Point is an innovative software company specialising in Microsoft technologies to provide business systems that streamline processes, enhance productivity, and facilitate access to critical business information. Established in 2005 and headquartered in Dublin, Ireland, we offer consulting and solution building services using Microsoft's core information worker and related technologies. Our services encompass design, implementation, project management, training, and ongoing technical support.

Building on our success in service delivery, we have built Matching Engine, a music matching and copyright solution used across the globe. This solution, built on the Azure Platform and deployed with our SMART AIM best-practice DevOps library, addresses data issues facing music rights organisations. The high-performance engine supports organisations to address metadata errors and ensure music royalties are tracked with accuracy and transparency.

Spanish Point are the fastest growing Microsoft partner in Ireland, the holder of Microsoft’s highest specialisation designation, the Azure MSP Expert, and the recent winner of the Microsoft AI Innovation partner of the year award.

We were selected in the Deloitte Fast 50 in index of fastest-growing tech companies for 2025 and are a recognised “Best Workplaces 2026” by Great Place to Work Ireland.

Job Overview

This is an opportunity to lead the Data Analytics & AI practice, which sits within the Digital Transformation pillar of the business. In this exciting and challenging role you will work with the COO to shape the direction and strategy of the team and will be responsible for the successful delivery of the customer projects in this area. As well as managing a team of engineers, you will have opportunity to use your own development skills to lead by example in execution.

This is a cornerstone practice of Spanish Point that is at an exciting inflection point with recent advancements in AI model sophistication and the advent of wide-spread AI adoption. Key to our ability to deliver actual real-world AI solutions beyond PoCs is being selected by Microsoft as one of only three partners in the UK & Ireland to be enrolled in their new AI Transformation Offer. The awarding of this unique designation comes on the back of our strong international customer base that are using Azure AI solutions at scale in Production, as well as our recognition as AI Innovation Partner of the Year. With our partner Microsoft continuing to have a key focus on AI, this offer and its associated funding will generate multiple AI projects in the region in the coming years.

Key technologies leveraged in our data solution builds include Azure SQL Server, Azure Databricks, .NET Core/C# and Power BI/MS Fabric. AI implementations typically focus on the Azure stack including AI Foundry with Open AI, AI Search and Azure Machine Learning, as well as Copilot Studio for low-code implementations.

This role will challenge your existing skills in team-management, architecture and development, and provide opportunities to expand your expertise in various Microsoft technologies.

Job Requirements

Experience: A minimum of 8 years of experience in data engineering.
Experience: A minimum of 2 years in managing a team of engineers and in project management, preferably in Agile/SCRUM working practices.
Education: A degree in Computer Science or an equivalent qualification.
Skills: Proficiency in Python, .NET/C#, SQL .
Knowledge of database design principals for OLTP and OLAP databases.
Communication: Strong communication and organisational skills.

Advantageous Skills

The following skills and experiences are considered strong advantageous:

Experience in Azure Databricks/Pyspark.
Knowledge of Machine Learning and AI methodologies, and experience in deploying these in Azure.
Experience in Power BI/DAX or Microsoft Fabric.
Experience in Azure DevOps and development lifecycle best practices.
Experience in advanced data manipulation semi-structured/unstructured, as well as structured data.

The following skills and experiences are also advantageous:

Experience in NoSQL databases e.g. Azure Cosmos DB , MySQL.
Experience in web development.
Experience in JavaScript or TypeScript frameworks.
Experience in other Azure services e.g. Azure SQL, Key Vault, Functions etc.

Application Process

Please submit your application and CV through our online application portal. For any inquiries about the position or questions regarding the application process, you can contact [email protected].

Join our team to contribute to the development of cutting-edge solutions and advance your skills in the dynamic field of modern web development using Microsoft technologies.

If there is no communication from Spanish Point within 30 days of applying for this position, please assume your application was unsuccessful.

Note: This job description is provided for informational purposes and may be subject to change. For the most current information about the position, please contact [email protected]

Apply Now

Refine Your Search

machine learning software development engineer, ai ops integration jobs in dublin, county dublin

Data Analytics and AI Team Lead

Customer Success Manager

Senior Cloud Networking Manager

ASIC Digital Design, Sr Engineer

Senior SDK Hardware Simulator Engineer

Senior Engineer, Network Observability

ASIC Digital Verification Architect

Engineering Manager, Embedded Product Security

Enterprise Growth Account Executive, DACH

Senior Engineering Manager, Customer Agent

Enterprise Account Executive, Nordics

Success Architect - Agentforce/Data Cloud (French Speaker)

Data Engineer

Software Engineer 3

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