AI Engineer

Yolk Recruitment
Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
Last week
£75,000 – £82,000 pa

Salary

£75,000 – £82,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Masters
Posted
20 May 2026 (Last week)
AI Engineer | Hybrid | Python | AWS | LLMs | Agentic AI

We're working with a fast-growing technology business investing heavily in AI-driven product development and intelligent automation.

They're looking for an experienced AI Engineer to help build scalable, production-grade AI systems that deliver real commercial impact across their platform.

This is not a research role. It's a hands-on engineering position focused on designing, building and deploying AI capabilities into live products used by customers globally.

You'll be working across modern AI tooling, backend engineering and cloud infrastructure to develop intelligent workflows, LLM-powered features and agentic systems that improve automation, decision-making and user experience.

What you'll be doing
  • Building and deploying production AI applications using LLMs
  • Designing agentic workflows and multi-step AI pipelines
  • Developing scalable backend APIs and cloud-native services
  • Creating RAG pipelines, embeddings and AI retrieval systems
  • Improving AI reliability through testing, evaluation and guardrails
  • Working closely with engineering, product and business teams
  • Contributing to architecture decisions and AI best practice
  • Helping shape the future direction of AI capability across the business
Tech environment

Python, AWS, APIs, LLMs, RAG, Docker, Kubernetes, microservices, cloud-native architecture and modern AI engineering tooling.

What they're looking for
  • Strong Python backend engineering experience
  • Experience building and deploying LLM-based applications
  • Good understanding of APIs, distributed systems and cloud platforms
  • Hands-on experience with RAG, embeddings and AI orchestration
  • Experience with Docker/Kubernetes and modern engineering practices
  • Someone comfortable operating in a fast-moving product environment
Nice to have
  • Experience with agentic AI frameworks
  • AI evaluation and guardrail implementation
  • Fine-tuning or hosting LLMs
  • Reinforcement learning or planning systems
  • MSc or PhD in a relevant discipline
Why apply?
  • Opportunity to work on genuinely cutting-edge AI products
  • High-impact engineering role with real ownership
  • Modern tech stack and AI-first environment
  • Fully remote flexibility
  • Strong growth plans and long-term AI investment

If you're interested in building production AI systems rather than just experimenting with them, this is a genuinely strong opportunity to join a business putting AI at the centre of its product strategy.

Related Jobs

View all jobs

AI Engineer

OpenSourced Manchester, United Kingdom
Remote

AI Platform Engineer (DevOps / MLOps Focus)

The Portfolio Group London, United Kingdom
£80,000 pa On-site

Specialised AI Engineer

NScale London, United Kingdom
On-site

AI Platform/ DevOps Engineer

The Portfolio Group Ec4V4Dy, EC4V 4DY, United Kingdom
£70,000 – £80,000 pa On-site

AI Product Engineer (Full Stack / AI Systems)

Adria Solutions Manchester, United Kingdom
£60,000 – £85,000 pa Hybrid

Embedded Systems Engineer - AI innovation

Safran Llantarnam, Gwent, United Kingdom
On-site

Industry Insights

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

Where to Advertise Edge Computing Jobs in the UK (2026 Guide)

Where to advertise edge computing jobs UK in 2026: the specialist boards and channels that reach embedded, IoT, 5G MEC and edge AI engineering talent. Edge computing sits at the intersection of embedded systems, networking, cloud infrastructure and real-time data processing — and the professionals who specialise in it are a small, highly technical community not well served by general job boards. Candidates with genuine edge and IoT expertise are rarely browsing general platforms, and roles in this space are frequently misunderstood or miscategorised by non-specialist recruiters. This guide, published by EdgeComputingJobs.co.uk, covers where to advertise edge computing roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Edge Computing Jobs UK 2026: What to Expect Over the Next 3 Years

Edge Computing Jobs UK 2026: roles, salaries and the IoT, 5G and edge AI hiring trends shaping UK edge computing careers over the next three years. Edge computing is quietly becoming one of the most consequential technology shifts of the decade — and the jobs market is starting to reflect that. As the limitations of centralised cloud infrastructure become apparent across industries that require real-time processing, ultra-low latency, and data sovereignty, the demand for professionals who can design, build, and manage computing at the edge has moved from niche to mainstream. But the edge computing jobs market of 2026 is not yet the mature, well-defined landscape that cloud computing has become. It is still forming. New architectures are emerging, standards are being established, and the range of industries deploying edge infrastructure is expanding rapidly — from manufacturing and telecommunications to healthcare, retail, autonomous vehicles, and smart cities. That creates a particular kind of opportunity for job seekers: the chance to build deep expertise in a discipline that is growing faster than the talent pipeline serving it. The candidates who will thrive over the next three years are those who understand where edge computing is heading — which use cases are driving commercial deployment, which technologies are defining the architecture of distributed systems, and how the skills required to work at the edge differ meaningfully from those that served professionals well in centralised cloud environments. This article breaks down what the UK edge computing jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.