Nomad Digital

AI Engineer

Nomad Digital

full-time

Posted on:

Location Type: Hybrid

Location: Newcastle • United Kingdom

Visit company website

Explore more

✨ AI Apply
Apply

Tech Stack

DockerKubernetesPython

About the role

  • Develop, test, and maintain scalable, high-performance ML models that align with architectural designs.
  • Implement and deploy AI/ML solutions by collaborating with stakeholders to understand technical requirements.
  • Contribute to the development of the end-to-end AI solution architecture.
  • Follow and contribute to MLOps best practices to streamline the development lifecycle.
  • Create clear technical documentation for ML models, code, and operational procedures.
  • Implement and test solutions to ensure AI performance, fairness, and adherence to ethical guidelines.
  • Implement and maintain robust security measures within our AI systems and data pipelines.
  • Collaborate effectively with team members, communicating technical details and progress.
  • Support the AI apprentice, helping to build a culture of innovation and knowledge sharing.

Requirements

  • 3+ years in software engineering with strong experience in building and deploying AI/ML systems, including Retrieval-Augmented Generation (RAG).
  • Strong, hands-on experience with scalable microservice architectures, including Kubernetes, Docker, and API gateways.
  • Practical experience working with hybrid database solutions for AI, including vector, graph, and relational databases.
  • Strong Python skills and practical experience applying AI/ML frameworks for tasks like text-splitting and embedding.
  • Experience building and maintaining data ingestion pipelines and agentic workflows.
  • Familiarity with identity and access management solutions and their integration.
  • Solid experience with MLOps tools and practices, including CI/CD and performance monitoring.
  • Experience with key parts of the LLM lifecycle, such as fine-tuning and deployment.
  • Degree in Computer Science or a related technical/quantitative field.
  • Strong communication skills to collaborate effectively within a technical team.
  • 3+ years of hands-on experience in a software or AI engineering role.
  • Proven experience building, deploying, and maintaining complex software applications.
Benefits
  • Health Care Cash Plan.
  • Life Assurance.
  • Critical Illness Cover
  • Contributory Pension Scheme via Aviva.
  • 25 Days of Annual Leave with enhanced leave based on tenure.
  • Annual Leave Purchase Scheme
  • Workplace Nursery Scheme
  • Car Lease Scheme
  • Employee Referral Scheme / Employee Recognition Scheme.
  • Company Sick Plan.
  • Hybrid Working Model - The role will consist of a mix of working from home and being in our Newcastle Head Office.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningAI solutionsMLOpsPythonmicroservice architectureKubernetesDockerdata ingestion pipelinesRetrieval-Augmented GenerationAI/ML frameworks
Soft Skills
communicationcollaborationinnovationknowledge sharing
Certifications
degree in Computer Science