# Data Scientist - Artificial Intelligence | UK Public Sector at IBM

> 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, develop and deploy AI solutions

- **Company:** IBM (https://jobs.trythestack.co/companies/ibm)
- **Location:** Hursley, GB, United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 5–10 years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Python, Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Large Language Models, Generative AI, Retrieval-Augmented Generation, Semantic Search, LangChain, MLOps
- **Posted by employer:** 2026-10-31
- **Added to The Stack:** 2026-11-01
- **Listed until:** 2026-12-30
- **Status:** Active
- **Apply:** https://ibmglobal.avature.net/en_US/careers/JobDetail?jobId=132034&source=SN_LinkedIn (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/data-scientist-artificial-intelligence-uk-public-sector-ibm

## About the role

Responsibilities:
- Design, develop and deploy AI solutions (ML models, LLM-powered apps, RAG, semantic search) across public sector and regulated client engagements.
- Translate ambiguous business problems into measurable AI use cases and success metrics.
- Perform data exploration, feature engineering, model development, evaluation and optimisation for performance, reliability and cost.
- Deliver production-ready integrations via APIs, cloud platforms and MLOps pipelines; collaborate with data engineers and platform teams.
- Provide technical leadership: review models, guide implementation, mentor junior practitioners and promote best practices.
- Support governance and responsible AI adoption, ensuring security, compliance and traceability in solutions.

Requirements:
- Strong Python skills and experience with Pandas, NumPy, scikit-learn and deep learning frameworks (PyTorch/TensorFlow).
- Hands-on experience with Generative AI, LLMs, RAG workflows, semantic search and agentic/LLM integration tools (e.g., LangChain).
- Proven experience delivering ML/AI in enterprise/cloud environments (AWS/Azure/GCP) and operationalising models via MLOps.
- Solid understanding of model evaluation, tuning, monitoring and cost/performance trade-offs.
- Demonstrable stakeholder engagement skills and experience working in regulated/public sector or similarly governed environments.
- Strong communication skills and ability to mentor colleagues and contribute to governance and continuous improvement.

## Responsibilities

Design, develop, and deploy AI and data science solutions across multiple client engagements, leveraging Generative AI, RAG, and semantic search. Collaborate with data engineers, architects, and stakeholders to operationalize AI solutions via APIs, cloud platforms, and MLOps, while ensuring governance and measurable business value.

## Requirements

Strong proficiency in Python and modern data science libraries (Pandas, NumPy, scikit-learn, PyTorch, TensorFlow) and hands-on experience delivering AI/ML in enterprise environments. Experience with Generative AI technologies, LLMs, and cloud platforms (AWS/Azure/GCP); ability to work in regulated/public sector contexts is desirable.

## FAQ

- **Is this Data Scientist - Artificial Intelligence | UK Public Sector role still open?** It was posted on 2026-10-31 and is listed as active on The Stack. Confirm on IBM's application page before applying.
- **Does IBM offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on IBM's site.
- **Where is this role located?** The listing gives the location as Hursley, GB, United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Python, Pandas, NumPy, scikit-learn, PyTorch, TensorFlow, Large Language Models, Generative AI, Retrieval-Augmented Generation, Semantic Search, LangChain, MLOps.

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