Data Scientist - Artificial Intelligence | UK Public Sector at IBM

✨ The Stack take on this IBM job

• 🏢 This is IBM's only job here right now
• 📊 28 Data Scientist jobs in the United Kingdom in the last 60 days see them
• 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
• 💡 No salary shown. Ask IBM if it is above the minimum.

Updated 2026-11-01, from our data and official sources.

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.

Key skills

• Python — in 1142 other listings on The Stack
• Pandas — in 32 other listings on The Stack
• NumPy — in 25 other listings on The Stack
• scikit-learn — in 24 other listings on The Stack
• PyTorch — in 87 other listings on The Stack
• TensorFlow — in 53 other listings on The Stack
• Large Language Models — in 41 other listings on The Stack
• Generative AI — in 56 other listings on The Stack
• Retrieval-Augmented Generation
• Semantic Search
• LangChain
• MLOps

On The Stack (as of 2026-11-01)

• This is IBM's only listing on The Stack.
• 204 visa-sponsored jobs in the United Kingdom on The Stack, posted in the last 60 days.
• 65 visa-sponsored data scientist jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about IBM

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.