Find Science shift team Jobs in Dublin, D

Senior Expert (AI Engineering)
Novartis —Dublin, County Dublin
- €63,490–€117,910 a year
- Full-time
- Hybrid work
- Research
- AI
- Communication skills
MS&T Raw Materials and Validation Lead – Associate Director - Dunboyne
MSD —Dunboyne, County Meath
- Full-time
- Hybrid work
- Engineering
- Continuous improvement
- Cleaning
2d
Senior Manager CSCQ, Qualified Person
Bristol-Myers Squibb —Dublin, County Dublin
- Full-time
- Microsoft Excel
- Bachelor's degree
- In-person
- Annual leave
3d
Senior AI Engineer
Sonatus —Dublin, County Dublin
- Hybrid work
- Azure
- Doctoral degree
- Computer Science
Quick apply
Clinical Development Director - Renal
Novartis —Dublin, County Dublin
- €90,300–€167,700 a year
- Full-time
- Doctoral degree
- Writing skills
- No degree
Principal Engineer, Grid Insights Lead
Analog Devices —Glasnevin, County Dublin
- Full-time
- Computer Science
- Master's degree
- C++
Team Leader
Jabil Circuit —Bray, County Wicklow
- Full-time
- Microsoft Powerpoint
- Microsoft Word
- Microsoft Excel
1h

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MS&T Raw Materials and Validation Lead – Associate Director - Dunboyne
MSD —Dunboyne, County Meath
No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place.
2d

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Senior Expert (AI Engineering)

Novartis -
Dublin, County Dublin

Apply Now

Job details

Full-time
€63,490–€117,910 a year

Qualifications

Research
AI
Communication skills
Python

Full job description

Summary

Job Title: Senior Expert (AI-Engineering)
Location: Dublin, Ireland
#LI-Hybrid

Relocation Support: This role is based in Dublin, Ireland. Novartis is unable to offer relocation support: please only apply if accessible.

Imagine shaping how breakthrough medicines are discovered by bringing cutting-edge AI from concept to real-world application. As a Senior Expert in AI-Engineering, you will sit at the critical intersection of innovation and delivery—transforming advanced machine learning models into scalable, reliable solutions that accelerate drug discovery. Collaborating with leading scientists and AI experts, you will drive the translation of pioneering research into impactful tools, ensuring models are reproducible, efficient, and ready to solve complex biomedical challenges. This is an opportunity to directly influence how modern AI reshapes scientific discovery and improves patient outcomes.

About the Role

Key Responsibilities

Design and train advanced machine learning models for drug discovery, including deep learning and graph-based architectures
Own end-to-end model lifecycle from problem definition to production deployment and continuous improvement
Conduct rigorous benchmarking, validation, and performance evaluation against scientific and business objectives
Deploy scalable, reliable model inference services meeting latency, throughput, and cost requirements
Build automated training, retraining, and monitoring pipelines including model drift detection mechanisms
Optimize models and pipelines for performance, reliability, and scalability across production environments
Establish and promote engineering best practices for reproducibility, testing, and deployment standards
Collaborate with cross-functional teams to translate research innovations into production-ready AI solutions
Partner with scientific experts to validate models against biological and chemical benchmarks
Mentor teams and contribute to raising engineering excellence across the AI for Research organization

Essential Requirements

Minimum 4 years of experience building, training, and deploying machine learning models with measurable real-world impact
Deep proficiency in Python and frameworks such as PyTorch or JAX; expertise in model design and optimization
Proven experience fine-tuning and deploying large pre-trained and foundation models including language and scientific models
Strong understanding of model evaluation including benchmarking, cross-validation, and performance across data distributions
Experience with distributed training and large-scale computing environments for high-performance model training
Hands-on expertise optimizing models and pipelines for latency, throughput, cost, and production performance
Experience with MLOps practices including experiment tracking, model versioning, reproducibility, and cloud deployment
Strong problem-solving, collaboration, and communication skills with ability to drive engineering excellence in complex environments

Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave.

Expected Annual Base Salary Range for role:

Dublin: 63,490.00 - 117,910.00 EUR Annual

The salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically.

In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process.

Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics.

Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process.

Commitment to Diversity and Inclusion:

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture

Benefits and Rewards: Learn about all the ways we’ll help you thrive personally and professionally.
Read our handbook (PDF 30 MB)

Primary location salary range

€63,490.00 - €117,910.00

Division

Biomedical Research

Business Unit

Information Technology

Location

Ireland

Site

Dublin (NOCC)

Company / Legal Entity

IE02 (FCRS = IE002) Novartis Ireland Ltd

Functional Area

Data and Digital

Job Type

Full time

Employment Type

Regular

Shift Work

Apply Now

Refine Your Search

science shift team jobs in dublin, d

Senior Expert (AI Engineering)

MS&T Raw Materials and Validation Lead – Associate Director - Dunboyne

Senior Manager CSCQ, Qualified Person

Senior AI Engineer

Clinical Development Director - Renal

Principal Engineer, Grid Insights Lead

Team Leader

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