Find Machine learning engineer Jobs in Kill, Ke

Senior Data Engineer — Lab Data Pipelines & Data Mesh
Alexion Pharmaceuticals,Inc. —Dublin, County Dublin
- Computer Science
- Engineering
- Master's degree
10d
Senior Engineer, Network Observability
CoreWeave Europe —Dublin, County Dublin
- On call
- Computer Science
- Bachelor's degree
- Linux
- Employee assistance program
Quick apply
Process Automation Lead - Arachas Location
Ardonagh Europe —Dublin, County Dublin
- Hybrid work
- Computer Science
- Salesforce
- Java
Principal Security Engineer, AWS Security
Amazon Data Services Ireland Limited —Dublin, County Dublin
- Full-time
- AWS
- Leadership
- Python
Senior Product Manager, GenAI Content Safety
Google —Dublin, County Dublin
- €146,000–€150,000 a year
- Full-time
- Master's degree
- Bachelor's degree
- No degree
Senior Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €235,000–€295,000 a year
- Master's degree
- AWS
- Bachelor's degree
Data Engineering Lead – English Speaker – Office Based
SpotOn TA —Dublin, County Dublin
- Full-time
- Azure
- Computer Science
- Engineering
7d
AI Solution Architect - AWS Senior Manager - Data & AI - Technology Consulting - Advisory
PwC —Dublin, County Dublin
- Full-time
- Computer Science
- Engineering
- Master's degree
Senior Data Engineer
Optum —Dublin, County Dublin
- Full-time
- Azure
- DevOps
- Data analysis skills
7d
Sr. Lead Security Engineer
JPMorganChase —DUBLIN 2, County Dublin
- Full-time
- Computer Science
- Engineering
- Java
Senior Cost Accountant
West Pharmaceutical Services —Dublin, County Dublin
- €63,100–€80,200 a year
- Microsoft Excel
- ERP systems
- Finance
3d
Senior Embedded Systems Design Engineer
Eaton —Dublin, County Dublin
- Computer Science
- System design
- C++
Senior Engineering Analyst
YouTube —Dublin, County Dublin
- €118,000–€121,000 a year
- Full-time
- Master's degree
- SQL
- C++
3d
Staff Software Engineer, Inference
Anthropic —Dublin, County Dublin
- €295,000–€355,000 a year
- Master's degree
- AWS
- Bachelor's degree
Databricks Solution Architect – Financial Crime & Banking
EXL Service —Dublin, County Dublin
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
5d
Staff Software Engineer - Client Apps
Dolby —Dublin, County Dublin
- System design
- JavaScript
- Software development
Senior Software Engineer
Intercom —Dublin, County Dublin
- Hybrid work
- AWS
- JavaScript
- No degree
- Annual leave
- Work from home
Senior SDK Hardware Simulator Engineer
Innatera Nanosystems —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- C++
Quick apply
Engineering Manager, Embedded Product Security
Dolby —Dublin, County Dublin
- Computer Science
- Research
- Master's degree
Senior Software Engineer
Learnosity —Dublin, County Dublin
- Full-time
- Hybrid work
- Computer Science
- Master's degree
- Bachelor's degree
- Annual leave
- Employee assistance program
Quick apply
11d

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Senior Data Engineer — Lab Data Pipelines & Data Mesh

Alexion Pharmaceuticals,Inc. -
Dublin, County Dublin

Apply Now

Job details

10 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, Ireland Job reference: R-252797 Date posted: 07/17/2026

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

Refine Your Search

machine learning engineer jobs in kill, ke

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