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

Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
1h
Engineering Manager
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Annual leave
- Employee assistance program
Quick apply
8d
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
1d
Core Engineer, Director
Integral Ad Science, Inc. —Dublin, County Dublin
- €162,400–€278,400 a year
- Full-time
- Doctoral degree
- Computer Science
- System design
- Annual leave
Quick apply
3d
Optical Engineering Manager
MBRYONICS —Galway, County Galway
- Full-time
- Doctoral degree
- Engineering
- System design
Structural Design Engineer
Vertiv —Bun na hAbhann, County Donegal
- AutoCAD
- English
- Construction experience
Director, Engineering
Integral Ad Science, Inc. —Dublin, County Dublin
- €162,400–€278,400 a year
- Full-time
- Doctoral degree
- Computer Science
- System design
- Annual leave
Quick apply
1d
Customer Success Manager
Pluralsight —Dublin, County Dublin
- Full-time
- In-person
- Annual leave
Talent Acquisition CoE Lead
Uniphar PLC —DUBLIN 24, County Dublin
- Full-time
- Hybrid work
- Management
- Master's degree
- Bachelor's degree
Quick apply
Data Engineer
Grouper —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- SQL
Quick apply

Related jobs to explore

Based on your search for machine learning software development engineer, ai ops integration

Software Engineer - Agentic AI & API Platform
Workday —Dublin, County Dublin
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience. We know that flexibility can take shape in many ways…
€72,000–€108,000 a year
Software Development Engineer, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
Experience (non-internship) in professional software development. Bachelor's degree in computer science or equivalent.

I want to receive the latest job alerts for machine learning software development engineer, ai ops integration in ireland

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

machine learning software development engineer, ai ops integration jobs near ireland

Customer Success Manager jobs in Dublin, County Dublin

Data Engineer jobs in Dublin, County Dublin

Engineering Manager jobs in Dublin, County Dublin

Optical Engineer jobs in Galway, County Galway

Healthcare Manager jobs in County Dublin

Customer Success Manager jobs in Dublin Airport, County Dublin

Facilities Manager jobs in Galway, County Galway

Customer Success Manager jobs in Monkstown, County Dublin

Customer Service jobs in Waterford, County Waterford

Designer Work From Home jobs in Dublin, County Dublin

Structural Designer jobs in Dublin, County Dublin

Data Engineer jobs in Limerick, County Limerick

Data Engineer jobs in County Wexford

Mechanical Engineer jobs in County Cork

Manufacturing Engineer jobs in County Dublin

Data Engineer jobs in Galway, County Galway

Engineering Internship, Aerospace Engineering jobs in Dublin, County Dublin

Dps Engineering jobs in Dublin, County Dublin

Engineering Manager jobs in Donegal, County Donegal

Engineering Manager jobs in County Dublin

Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)

AstraZeneca -
Dublin, County Dublin

Apply Now

Job details

1 hour ago

Qualifications

Data modelling
Law
Computer Science
Engineering
Supply chain
Master's degree
SQL
AWS
Project management
Bachelor's degree
REST
CT
S3
AI
Python

Full job description

Location Dublin, Leinster, Ireland Job ID R-252797 Date posted 16/07/2026

Introduction to role:

Are you ready to engineer the data backbone that moves rare disease development labs from manual processes to automated, AI-ready science? Based in Dublin, you will help connect instruments, robotics, and scientific systems into a coherent, governed data ecosystem that speeds decisions, strengthens data integrity, and unlocks scalable analytics and machine learning.

You will join a fast-moving, cross-functional engineering group partnering closely with laboratory practitioners. Your work will turn raw lab outputs into trusted, reusable data products in a modern data mesh on Databricks and AWS. What could you build when scientists, roboticists, and data engineers solve problems together at the bench and in the cloud?

Accountabilities:

Lab-to-Cloud Connectivity: Engineer resilient connectivity from analytical instruments, lab equipment, and robotics across diverse vendors and data types, reducing manual handling and data silos.
End-to-End Pipelines: Design and deliver automated ingestion, validation, transformation, and loading into standardized, analysis-ready datasets that scientists trust.
Data Mesh Delivery: Curate and publish domain data products into a lake house-based mesh (Databricks on AWS) that enables self-service analytics and ML across teams.
ELN-to-Mesh Automation: Partner with scientific and digital stakeholders to implement agentic/LLM-assisted extraction from ELNs into governed data products with clear provenance.
Quality, Security, and Compliance by Design: Embed auditability, data integrity controls, and role-based access throughout pipelines to meet regulatory expectations.
Monitoring and Reliability: Implement logging, alerting, lineage, retries, and runbooks that improve reliability and turnaround times for laboratory workflows.
Standardized Schemas: Establish common shaping and schemas for key lab data types (chromatographic, spectroscopic, assay, automation run outputs) to accelerate reuse.
Scientist-Ready Access: Create APIs, datasets, and curated views that are discoverable and documented so scientists can find, trust, and reuse data without copy/paste.
Cross-Functional Delivery: Translate needs with scientists, automation/robotics, informatics, IT, and business partners into shipped, adopted capabilities that scale from a single instrument to entire labs.
Scalable Patterns and Impact: Evolve patterns and frameworks that shorten time-to-value, enable advanced automation and AI/ML, and form the foundation for future lab innovation.

Essential Skills/Experience:

Education: BS in Computer Science, Data Engineering, Software Engineering, Bioinformatics, Statistics, Engineering, or related; MS a plus.
Experience: 5+ years in data/software engineering delivering production grade pipelines (life sciences lab environment strongly valued but not required).
Core technical skills: strong Python and SQL; data pipeline orchestration patterns; data modelling for analytics/AI use cases.
Cloud & platform experience: hands on AWS (IAM, S3, EC2/EKS/Glue, monitoring) and Databricks/Delta Lake.
Integration mindset: connect heterogeneous sources (files, vendor exports, REST APIs); build resilient ingestion for real-world lab data.
Collaboration & communication: translate between scientists and engineers; define clear requirements; deliver in a fastmoving, high ownership environment.
Travel requirement: Ability to travel to New Haven, CT ~4x/year, 2–4 weeks per trip, to work face to face with laboratory practitioners and gain hands on familiarity with equipment and robotics.

Desirable Skills/Experience:

Certifications:

PMP (Project Management Professional) or PgMP (Program Management Professional).

And/or

Agile Certifications such as Certified ScrumMaster (CSM) or Agile Certified Practitioner (PMI-ACP).

Strong understanding of supply chain processes, project and program management methodologies, tools, and techniques, including Agile methodologies.

Why AstraZeneca:

Here, your engineering will touch real patient journeys in rare disease, blending the energy and autonomy of a nimble biotech with the reach and investment of a global biopharma. You will work with cutting-edge platforms on Databricks and AWS, with unexpected teams in the same room unleashing bold thinking—scientists, roboticists, and data engineers aligning on outcomes. We value kindness alongside ambition, so you can take ownership, grow your craft, and build capabilities that matter to patients and colleagues today while laying the groundwork for tomorrow’s automation and AI.

Call to Action:

If you want your pipelines to accelerate real decisions and power AI-ready science, step forward and help build the data backbone that moves rare disease labs faster and farther!

Alexion, AZ RDU may consider visa sponsorship under the Critical Skills route, where required, provided the candidate’s background and experience align with the requirements of the role.

Date Posted

17-Jul-2026

Closing Date

30-Jul-2026

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.

Apply Now

Refine Your Search

machine learning software development engineer, ai ops integration jobs in ireland

Senior Data Engineer — Lab Data Pipelines & Data Mesh (12 month FTC)

Engineering Manager

Director, Game Science & Insights

Core Engineer, Director

Optical Engineering Manager

Structural Design Engineer

Director, Engineering

Customer Success Manager

Talent Acquisition CoE Lead

Data Engineer

Related jobs to explore

I want to receive the latest job alerts for machine learning software development engineer, ai ops integration in ireland

Related Searches

Explore jobs in more locations

Introduction to role:

Accountabilities:

Essential Skills/Experience:

Desirable Skills/Experience:

Why AstraZeneca:

Call to Action:

Jobseeker tools

Employer Tools

Browse

Stay Connected