Principal Data Scientist

JR United Kingdom; North East; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading technology company in Newcastle-upon-Tyne is looking for a Principal Data Scientist to design and build Gen AI virtual agents. The role requires strong expertise in LLMs, cloud services, and engineering skills. Ideal candidates will have a relevant degree, extensive experience in machine learning, and be proficient in Python. The position offers the chance to work on innovative AI solutions within a dynamic team.

Qualifications

• Proven expertise in classical ML algorithms and knowledge of LLMs.
• Hands-on experience with cloud ML services.
• Strong engineering skills in Python and CI/CD.

Responsibilities

• Design and build client-specific GenAI/LLM virtual agents.
• Implement CI/CD pipelines for ML/LLM.
• Monitor models and services for performance.

Skills

Mathematics

Deep knowledge of LLMs

Python programming

APIs

Containerization

CI/CD

Agile methodologies

Stakeholder management

Education

Relevant degree (BSc, MSc, PhD preferred)

Tools

AWS

Azure ML services

Terraform

Kubernetes

GitHub Actions

Job description

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Principal Data Scientist, Newcastle-upon-Tyne, Tyne and Wear

Client: ISx4

Location: Newcastle-upon-Tyne, Tyne and Wear, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Views:

2

Posted:

26.08.2025

Expiry Date:

10.10.2025

Job Description:

You will be part of a team designing and building a Gen AI virtual agent to support customers and employees across multiple channels. Responsibilities include building and running LLM-powered agentic experiences, owning design, orchestration, MLOps, and continuous improvement.

• Design & build client-specific GenAI/LLM virtual agents
• Enable orchestration, management, and execution of AI-powered interactions through purpose-built AI agents
• Design, build, and maintain robust LLM-powered processing workflows
• Develop cutting-edge testing suites related to bespoke LLM performance metrics
• Implement CI/CD pipelines for ML/LLM: automated build, train, validate, deploy for chatbots and agent services
• Use Infrastructure as Code (Terraform/CloudFormation) to provision scalable cloud infrastructure for training and real-time inference
• Monitor models and services: drift detection, hallucination checks, SLOs, alerting
• Serve at scale: containerized, auto-scaling environments (e.g., Kubernetes) with low-latency inference
• Manage data & model versioning; maintain a central model registry with lineage and rollback capabilities
• Deliver live performance dashboards (e.g., intent accuracy, latency, error rates) and document retraining strategies
• Lead and foster innovation around frameworks/models; collaborate with product, engineering, and client stakeholders

Qualifications / Experience

• Relevant degree (BSc, MSc, PhD preferred)
• Proven expertise in mathematics, classical ML algorithms, and deep knowledge of LLMs (prompting, fine-tuning, RAG, evaluation)
• Hands-on experience with AWS and Azure ML services (e.g., Bedrock, SageMaker, Azure OpenAI, Azure ML)
• Strong engineering skills: Python, APIs, containers, Git; experience with CI/CD (GitHub Actions, Azure DevOps), IaC (Terraform, CloudFormation)
• Experience with scalable serving infrastructure: containerized, auto-scaling (Kubernetes), low latency
• Workflow automation across the ML lifecycle: data ingestion, preprocessing, model retraining, deployment
• Experience with live performance dashboards and model registries
• Automated retraining workflows and documentation
• Experience with Kubernetes, inference optimization, caching, vector stores, model registries
• Excellent communication skills, stakeholder management, and ability to produce clear technical documentation

Personal Attributes

• Integrity, stakeholder management, project management, Agile methodologies, automation, data visualization, and analysis