Applied AI Engineer

Nasstar; United Kingdom; Remote; GBP 70,000 - 100,000; Full time

Benefits offered by this job

Remote-firstworking

Private health insurance

Meaningful AI projects

Collaborative culture

Career progression

Job summary

Nasstar is seeking an Applied AI Engineer to join the Services team. This remote UK role focuses on designing, building and deploying applied AI systems that deliver real business outcomes.

You will work on AI features and production deployments, leveraging AWS and Databricks, while growing through collaboration and knowledge sharing with peers.

Qualifications

• Degree in Computer Science, Data Science, AI or related field.
• Experience deploying ML/Generative AI in production.
• Strong Python or related language fundamentals.
• Understanding of ML, predictive analytics, and GenAI concepts.
• Clear communication and teamwork skills.
• Exposure to GenAI/LLMs, RAG, cloud platforms (AWS/Databricks).

Responsibilities

• Delivery & impact: Contribute to defined build tasks and AI features with team support.
• AI & engineering craft: Build fundamentals across the tech stack and follow patterns.
• Collaboration: Engage in code reviews and technical discussions to improve quality.
• Growth & capability: Learn actively and share knowledge within the team.

Skills

Python programming

ML deployment

Generative AI concepts

Communication

Team collaboration

GenAI/LLMs exposure

Education

Degree in Computer Science, Data Science, AI

Tools

AWS

Databricks

Job description

Applied AI Engineer

Department: Services

Employment Type: Permanent

Location: Remote, UK

Description

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.

This is a key role in our Engineering practice — the building work that takes AI from concept to production. As an Applied AI Engineer you'll support the design, build and deployment of applied AI systems, learning our tools, patterns and standards as you grow.

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

Key Responsibilities

• Delivery & impact: Contribute to defined build tasks within a delivery; complete AI features to standard, with support from the team.
• AI & engineering craft: Build fundamentals across the tech stack; apply established patterns and follow engineering standards under review.
• Collaboration: Work effectively within the team; participate in code reviews and technical discussions to improve engineering quality.
• Growth & capability: Learn actively and grow your capability; contribute to internal knowledge sharing as you develop.

Skills, Knowledge and Expertise

Essential

• Degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Experience developing and deploying machine learning and/or generative AI solutions in production environments.
• Foundations in programming (Python and/or a related language) and a genuine eagerness to learn.
• Understanding of machine learning, predictive analytics, and generative AI concepts.
• Clear communication skills and ability to work effectively in a team environment.
• A collaborative, curious mindset and clear communication.
• Exposure to GenAI/LLMs, RAG, cloud platforms (AWS and/or Databricks), or modern data/ML tooling.

Benefits

• Remote-first working with flexibility around client needs.
• Private health insurance.
• Opportunity to work on meaningful AI projects across multiple industries.
• A collaborative culture focused on learning, excellence and continuous improvement.
• Competitive salary with clear progression pathways.