Applied AI Engineer

Job not on LinkedIn

🕒 April 2

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 55%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Nasstar

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💼 Consulting

📦 Logistics

Consulting • Logistics • Cloud Computing

Nasstar is a cloud service specialist that designs, implements, and manages multi-cloud solutions, innovative communication tools, and high-performance networking. With a strong global presence, Nasstar supports customers across various industries by offering a comprehensive suite of cloud services. The company has undergone several strategic acquisitions and rebranding efforts to enhance its capabilities, such as the acquisitions of Modality, Outsourcery, and others. Nasstar is committed to evolving with the rapidly changing tech industry and values enthusiastic individuals who are driven and passionate about making a difference.

📋 Description

• Work closely with clients to understand business challenges, define AI use cases, and guide them toward appropriate machine learning and generative AI solutions. • Translate technical concepts into clear, actionable recommendations and support clients throughout the delivery lifecycle. • Design, build, and deploy AI systems, including predictive models, NLP solutions, LLM-based applications, retrieval-augmented generation pipelines, and agentic workflows. • Prepare, clean, and transform large structured and unstructured datasets for machine learning and generative AI use cases. • Implement and maintain cloud-native pipelines for deploying, monitoring, and managing machine learning models and AI applications. • Collaborate with data engineers, data scientists, and cross-functional teams to deliver end-to-end AI solutions from proof-of-concept and MVP through production. • Stay current with emerging AI technologies through continuous learning, certifications, and hands-on experimentation; recommend improvements to tools, frameworks, and delivery approaches.

🎯 Requirements

• 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. • Experience delivering end-to-end AI solutions, from proof-of-concept and MVP through to production. • Experience working with cloud platforms (e.g. Azure, AWS, or GCP). • Strong programming skills in Python and experience with relevant AI/ML frameworks (e.g. TensorFlow, PyTorch, Scikit-learn). • Experience working with large structured and unstructured datasets. • Understanding of machine learning, predictive analytics, and generative AI concepts. • Clear communication skills and ability to work effectively in a team environment.

🏖️ Benefits

• Remote-first working with flexibility around client needs. • Private Medical 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.