Senior Applied AI Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 7h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
First seen 10d ago
No source stated a posting date, so this is when the listing first reached us — which is a floor, not the real age. Last seen at its source 3h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Remote, UK
That is the location the employer filed this posting under. Quoted as written — we do not re-word the source's own location.
Who may apply?
United Kingdom
The description agrees: it names United Kingdom.
What the ad says
…remote based in UK with the occasional travel to company events…
Pay not stated
Similar roles pay £92.7k–141.5k/yr
Middle 50% of 53 listings that do state pay — Engineering · Senior · United Kingdom · GBP/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Pinpoint employer's own board first seen 10d ago · last seen 3h ago
The listing
We are looking for a talented Senior 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, guide other engineers, and act as a trusted technical contact for clients.
The role is remote based in UK with the occasional travel to company events.
Key Responsibilities
- 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; lead code reviews; resolve technical disagreements constructively.
- Growth & capability: Mentor engineers; contribute reusable components, accelerators and best practice; continuously improve how the team delivers.
Skills, Knowledge and Expertise
- 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, manage stakeholders, and guide other engineers with confidence.
- 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.
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.