Nasstar

Cloud-based IT solutions & modernization partner

Senior Applied AI Engineer

Applied Machine LearningUpdated on Nov 14

Full-timeNo salary listed

About the Job

Requirements

Proven track record delivering AI models, systems, and products to production in a consultancy or AI-driven product organisation.
Strong programming skills in Python and the wider technology stack, system design, and testing methodologies.
Experience integrating models or large language models and deploying on cloud platforms such as AWS and/or Databricks, with solid continuous integration and continuous delivery practice.
Ability to own delivery and manage stakeholders.

Responsibilities

Own the outcomes of an engagement or workstream by defining success, measuring business impact, and managing delivery and technical risk.
Design AI and generative AI systems end-to-end, and act as a trusted technical contact for clients.
Balance technical debt, speed, and scalability while owning workstream and engagement outcomes.
Design AI systems end-to-end across the lifecycle, make and justify key trade-offs, and evaluate model performance beyond simple accuracy.
Explain AI concepts, trade-offs, and limitations to technical and non-technical clients.
Contribute reusable components, accelerators, and best practices, and continuously improve how the team delivers.

Desired Qualifications

Depth in a specialty such as generative AI or machine learning, including retrieval-augmented generation and agentic workflows; data science; data engineering; product or full-stack development; or platform engineering and machine learning operations.
AWS and/or Databricks certifications, and experience with responsible AI and production monitoring.

As trusted partners of AWS and Databricks, we help organisations design, build and scale intelligent systems that deliver measurable business outcomes. We lead from the front in Generative and Applied AI adoption — guiding clients from uncertainty to confident, production-grade delivery.

We are looking for a talented Applied AI Engineer where you will own the outcomes of an engagement or workstream: defining success, measuring business impact, and managing delivery and technical risk.

You will design AI and GenAI systems end-to-end, and act as a trusted technical contact for clients.

The role is remote based in UK with the occasional travel to company events.

Delivery & impact: Own workstream and engagement outcomes; define success, measure business impact, and balance technical debt, speed and scalability.
AI & engineering craft: Design AI systems end-to-end across the lifecycle; make and justify key trade-offs; evaluate model performance beyond simple accuracy.
Collaboration: Explain AI concepts, trade-offs and limitations to technical and non-technical clients.
Growth & capability: Contribute reusable components, accelerators and best practice; continuously improve how the team delivers.

Proven track record delivering AI models, systems and products to production in a consultancy or AI-driven product organisation.
Strong programming (Python and the wider tech stack), system design and testing methodologies.
Experience integrating models / LLMs and deploying on cloud platforms (AWS and/or Databricks), with solid CI/CD practice.
Able to own delivery and manage stakeholders.

Desirable

Depth in a speciality: GenAI/ML (RAG, agentic workflows), Data Science, Data Engineering, Product/Full-Stack, or Platform/MLOps.
AWS and/or Databricks certifications; experience of responsible-AI and production monitoring.

About the Company

Nasstar

Cloud-based IT solutions & modernization partner

Nasstar provides cloud-based IT solutions that help businesses transform through cloud technologies, offering services like cloud optimization, application modernization, connectivity, and collaboration tools through consulting, managed services, and long-term support. It works by partnering with AWS and Microsoft and deploying a team of integrators, technical specialists, and strategic advisors to assess, design, implement, and continuously support cloud environments and applications. Its differentiators include high-level partnerships (AWS Premier, Microsoft Partner), a comprehensive end-to-end service package, and a focus on long-term transformation and ongoing support. The goal is to help businesses simplify IT, improve efficiency and productivity, and enable continuous transformation with scalable cloud solutions.

Company size: 501-1,000
Company stage: Not listed
Total funding: Not listed
Headquarters: Wakefield, United Kingdom
Founded: 1998

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