Artificial Intelligence Engineer

Block MB
London, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

AI Engineer - Cardiff

Circle Recruitment Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£40,000 – £55,000 pa Hybrid

Protection Scientist Engineer, Intelligence and Investigations

OpenAI London, United Kingdom
Permanent

Trainer – Digital and Artificial Intelligence

Zenith People Hebburn, NE31 1LB, United Kingdom
£40,000 – £60,000 pa On-site

Developer Relations Manager - Artificial Intelligence

NVIDIA United Kingdom

Senior System Software Engineer, NCCL - Partner Enablement

NVIDIA Switzerland

Senior System Software Engineer, NCCL - Partner Enablement

Posted
12 Mar 2026 (Last month)

AI Engineer


My client are a Series A SaaS partner, who deliver AI platforms for their customers, at scale.

They are looking for an AI Engineer who loves building reliable applications powered by large language models. This role is less about model research and more about engineering robust AI systems that work in the real world.


What you’ll be doing

  • Designing and deploying production AI applications using LLMs
  • Building RAG pipelines, agentic workflows, and scalable orchestration layers
  • Integrating vector databases, APIs, and data pipelines
  • Creating evaluation frameworks to measure system performance and reliability
  • Improving AI systems through observability, feedback loops, and experimentation
  • Optimising prompts, latency, cost, and output quality across different models


What we’re looking for

  • Hands-on experience building applications with LLM APIs
  • Practical knowledge of RAG architectures, vector databases, and prompt engineering
  • Experience building multi-step AI workflows or agent systems
  • Strong Python (or similar) and experience building production services
  • Understanding of cloud platforms and distributed systems
  • Ability to work with non-deterministic systems and iterate through experimentation


Nice to have

  • Experience with AI-assisted coding tools
  • Familiarity with evaluation or model observability tools
  • Experience in regulated or complex enterprise environments
  • Exposure to real-time systems, search technologies, or multimodal AI


Why join

  • Work on real-world AI systems used by global organisations
  • High-impact projects at the forefront of generative AI
  • Collaborative team of AI specialists and engineers
  • Competitive salary + bonus
  • Learning budget and strong career growth opportunities

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.