Senior Applied AI Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 10%

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

• Own workstream and engagement outcomes, defining success and measuring business impact • Balance technical debt, speed, and scalability • Design AI and GenAI systems end-to-end across the lifecycle • Make and justify key technical trade-offs • Evaluate model performance beyond simple accuracy • Explain AI concepts, trade-offs, and limitations to technical and non-technical clients • Lead code reviews and resolve technical disagreements constructively • Mentor engineers • Contribute reusable components, accelerators, and best practices • Continuously improve how the team delivers • Act as a trusted technical contact for clients • Manage delivery and technical risk

🎯 Requirements

• Proven track record delivering AI models, systems and products to production in a consultancy or AI-driven product organisation • Strong programming skills, including Python and the wider tech stack • System design and testing methodologies • Experience integrating models / LLMs and deploying on cloud platforms (AWS and/or Databricks) • Solid CI/CD practice • Ability to own delivery, manage stakeholders, and guide other engineers with confidence • Desirable: Depth in a speciality such as GenAI/ML (RAG, agentic workflows), Data Science, Data Engineering, Product/Full-Stack, or Platform/MLOps • Desirable: AWS and/or Databricks certifications • Desirable: Experience with responsible AI and production monitoring

🏖️ 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 • Occasional travel to company events