Find Machine learning engineer Jobs in Kill, Ke

Senior Data Engineer — Lab Data Pipelines & Data Mesh
AstraZeneca —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
8d
Project Engineer
West Pharmaceutical Services —Dublin, County Dublin
- €51,040–€64,960 a year
- Overtime
- Engineering
- Microsoft Office
- Project management
5d
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
5d
Senior Data Engineer — Lab Data Pipelines & Data Mesh
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
8d
Databricks Solution Architect – Financial Crime & Banking
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
3d
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
Staff SRE, Ads
Reddit —Dublin, County Dublin
- On call
- Remote
- Linux
- Communication skills
- Python
- Annual leave
Quick apply
Data Engineering Lead
Wibit Consulting & Services (WibitCS) —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Java
Quick apply
Scaled Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €64,000–€66,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Responsible AI Senior Data Scientist
Workday —Dublin, County Dublin
- €80,200–€120,200 a year
- Full-time
- Azure
- Java
- Master's degree
Customer Engineer, SMB, Artificial Intelligence
Google —Dublin, County Dublin
- €80,000–€82,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Engineering Manager
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- AWS
- Annual leave
- Employee assistance program
Quick apply
Data Platform Engineer
Verifone —Dublin, County Dublin
- On call
- Hybrid work
- DevOps
- AWS
- Scripting
Quick apply
9d
Process Automation Lead - Arachas Location
Arachas —Sandyford, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
Director, Game Science & Insights
2K —Dublin, County Dublin
- Computer Science
- SQL
- Project management
Quick apply
10d
Senior Applied Scientist, AWS Security
Amazon Development Centre Ireland Limited —Dublin, County Dublin
- Full-time
- Doctoral degree
- Research
- Master's degree
14d
Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Senior Engineering Analyst
YouTube —Dublin, County Dublin
- €118,000–€121,000 a year
- Full-time
- Master's degree
- SQL
- C++
21h
Sr. Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply

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Senior Data Engineer — Lab Data Pipelines & Data Mesh

AstraZeneca -
Dublin, County Dublin

Apply Now

Job details

8 days 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 23/07/2026

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

24-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

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machine learning engineer jobs in kill, ke

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Project Engineer

Data Engineering Lead – English Speaker – Office Based

Senior Data Engineer — Lab Data Pipelines & Data Mesh

Databricks Solution Architect – Financial Crime & Banking

Senior Engineer, Network Observability

Staff SRE, Ads

Data Engineering Lead

Scaled Customer Engineer, SMB, Artificial Intelligence

Responsible AI Senior Data Scientist

Customer Engineer, SMB, Artificial Intelligence

Engineering Manager

Data Platform Engineer

Process Automation Lead - Arachas Location

Director, Game Science & Insights

Senior Applied Scientist, AWS Security

Senior SDK Hardware Simulator Engineer

Senior Engineering Analyst

Sr. Lead Security Engineer

Senior AI Engineer

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