# AI/ML Computational Scientist at Accenture

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Design and implement production-ready AI

- **Company:** Accenture (https://jobs.trythestack.co/companies/accenture)
- **Location:** Dublin, IE, Ireland
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, TensorFlow, PyTorch, Large Language Models, Generative AI, DevOps, MLOps, Cloud computing, Distributed computing, Data pipelines, Data preprocessing, HPC
- **Posted by employer:** 2026-11-01
- **Added to The Stack:** 2026-11-02
- **Listed until:** 2026-12-31
- **Status:** Active
- **Apply:** https://accenture.wd103.myworkdayjobs.com/AccentureCareers/job/Dublin/AI-ML-Computational-Scientist_R00346855?source=Jblirf_01 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/aiml-computational-scientist-accenture

## About the role

Responsibilities:
- Design and implement production-ready AI/ML solutions for enterprise clients, translating business problems into scalable technical approaches.
- Select, customise and deploy Deep Learning, Generative AI and LLM-based models; optimise for performance, cost and accuracy across cloud, HPC and edge environments.
- Build scalable data pipelines and DevOps/MLOps workflows for training, validation, deployment, monitoring, alerting and auditability.
- Work with large-scale datasets, apply preprocessing, and implement efficient storage/retrieval for models and knowledge assets.
- Conduct R&D on algorithms and simulations for high-performance and distributed computing use cases; justify model choices in business terms.
- Collaborate with cross-functional teams (owners, engineers, architects, UX) and support client engagements and technical communications.

Requirements:
- Bachelor’s degree (or equivalent) in CS, engineering or related field; advanced degree (MS/PhD) preferred.
- Proven experience deploying and operating ML models at scale with monitoring, alerting and reliability controls.
- Strong Python skills and familiarity with TensorFlow/PyTorch; experience with LLM APIs and GenAI tooling.
- Experience with distributed systems, cloud platforms, HPC, and building production data pipelines and MLOps.
- Good communication skills for client-facing work; preferred experience in C++, Java, R or SQL is a plus.

## Responsibilities

Design, build, and operationalize AI/ML solutions for enterprise clients; develop scalable data pipelines and DevOps/MLOps workflows; customize and deploy Deep Learning and Generative AI models, including LLMs, to production.

## Requirements

Bachelor’s degree or equivalent; proven experience deploying AI/ML models at scale in production; strong Python proficiency and experience with TensorFlow/PyTorch; cloud experience; excellent communication and client-facing skills; MS/PhD preferred.

## FAQ

- **Is this AI/ML Computational Scientist role still open?** It was posted on 2026-11-01 and is listed as active on The Stack. Confirm on Accenture's application page before applying.
- **Does Accenture offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Accenture's site.
- **Where is this role located?** The listing gives the location as Dublin, IE, Ireland. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, TensorFlow, PyTorch, Large Language Models, Generative AI, DevOps, MLOps, Cloud computing, Distributed computing, Data pipelines, Data preprocessing, HPC.

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## Notes for agents

- Apply on the employer's page (https://accenture.wd103.myworkdayjobs.com/AccentureCareers/job/Dublin/AI-ML-Computational-Scientist_R00346855?source=Jblirf_01). The Stack does not take applications.
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