Senior Applied AI Engineer
Remote London Full-time Senior AI Engineering
At a glance
Senior AI Engineering role at Nasstar. Remote, United Kingdom · full-time · no salary stated · we estimate £75,000–£112,500 across the United Kingdom.
Estimated pay
Nasstar has not published a salary for this role. The figure below is our estimate, not theirs.
£75,000 – £112,500
What the middle half of senior AI engineering roles in the United Kingdom paid, among postings that did state a salary.
Worked out from 5 postings that stated pay, median £112,500. Last updated Oct 28, 2026.
RoleAI Engineering
SenioritySenior
LocationLondon
WorkplaceRemote
EmploymentFull-time
PostedAug 26, 2026
Role brief
remoteroles summary, based on the employer's posting.
What you'll do
- Set workstream goals, track business results and weigh delivery speed against technical debt and scalability
- Build AI systems from design through deployment, justify engineering choices and assess more than model accuracy
- Explain AI capabilities, limitations and trade-offs to client contacts across technical backgrounds
- Create reusable engineering components and practices that help the team improve delivery
What you bring
- You have taken AI models, systems or products into production in consulting or an AI-focused product organisation
- You bring strong Python skills, system design and testing experience, plus hands-on cloud model integration and CI/CD practice
- You can lead delivery and manage stakeholders while working with AWS or Databricks
Who this fits
This senior role suits an engineer who can own client work and explain technical decisions clearly. It is UK-based and remote, with occasional travel to company events.
From the employer
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.
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.
- 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.
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