Applied AI Engineer

Posted 10 Days Ago
Hiring Remotely in UK
Remote
Junior
Cloud • Information Technology
The Role
Supports the design, development, and deployment of applied AI systems under senior engineer guidance. Contributes to AI feature development, follows engineering standards, participates in code reviews and technical discussions, and builds expertise across modern AI and cloud technologies. The role emphasizes learning, collaboration, and progression toward more senior engineering responsibilities.
Summary Generated by Built In
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.


About
We are passionate about helping businesses navigate the rapidly changing and complex world of emerging technologies. We create well-structured, secure, scalable solutions at speed to provide the foundation for groundbreaking change.

Skills Required

  • Early-career experience in software engineering, machine learning, or AI-related development through industry, internship, or academic work
  • Foundational programming skills in Python or a related programming language
  • Collaborative and curious mindset
  • Clear communication skills
  • Exposure to Generative AI or large language models
  • Exposure to retrieval-augmented generation
  • Exposure to AWS or Databricks
  • Exposure to modern data or machine learning tooling
  • Personal, academic, or open-source projects demonstrating interest in applied AI
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The Company
HQ: Lincoln
923 Employees
Year Founded: 1998

What We Do

At Nasstar, we specialise in transformative technology. Our integrated suite of managed services delivers everything from cloud optimisation and application modernisation to networking, security and self-serve tools. With a consultative approach at our core, we modernise and manage technology to help our clients succeed in today's competitive business world. Through strategic consultation, to implementation and management, we provide the vision and the mechanics needed to create transformational change for our clients.

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