Agentic AI Engineer

EVERLINKED
Newquay, Cornwall, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs

Senior AI Engineer (Agentic / Applied AI)

Platform Recruitment Dublin, City Of Dublin, Ireland
£85,000 – £120,000 pa On-site

Head of AI & Automation

Experis United Kingdom
£85,000 – £100,000 pa Permanent

AI Agentic Engineer X 3

Adria Solutions Newcastle upon Tyne, Tyne & Wear, NE1 4JA, United Kingdom
£50,000 – £85,000 pa Hybrid

AI Agentic Engineer X 3

Adria Solutions Manchester, United Kingdom
£50,000 – £85,000 pa Hybrid

Senior Cyber Security Engineer (AI Safety)

Faculty AI London, United Kingdom
Hybrid

Staff Engineer, Machine Learning

Synthesia London, United Kingdom
Remote
Posted
2 Apr 2026 (Last month)

We’re looking for someone rare.

Not a traditional developer.

Not someone who’s just “played around” with AI tools.

Someone who lives and breathes this space.

The opportunity

Everlinked is evolving.

We’ve spent nearly 20 years building trust in the manufacturing space through recruitment. Now, we’re seeing a clear shift:

Business owners know they need AI.

They don’t know where to start.

They don’t have anyone they trust to guide them.

We’re building that bridge.

We’re already working on real systems for clients — and this role is about helping us go all in.

What you’ll be doing

You’ll work directly with the founder to:

Design and build agentic AI systems for real-world business use

Turn commercial ideas into working applications quickly

Build internal tools to improve how we operate

Develop client-facing systems across multiple industries (primarily manufacturing)

Own and shape the technical direction of what we build

This isn’t theory.

This isn’t sandbox work.

You’ll be building systems that actually get used.

The type of person we’re looking for

You are:

Deeply curious — you’re constantly learning, testing, breaking, rebuilding

Technically sharp — comfortable with APIs, scripting, and system design

Obsessed with AI — this isn’t a trend to you, it’s your world

Commercially aware — you understand that the end goal is useful, working systems

Security-conscious — you think about how things hold up in the real world

Builder mindset — you’d rather ship something than talk about it

You’ve likely:

Studied something relevant (Computer Science, AI, etc.) or are self-taught to a high level

Spent serious time experimenting with LLMs, agents, automation tools

Built things — side projects, tools, systems — not just tutorials

Tech & tools (indicative, not exhaustive)

LLMs (OpenAI, Anthropic, open-source models)

Agent frameworks / autonomous workflows

Replit / cloud environments

APIs, integrations, data pipelines

Basic frontend/backend understanding

Security fundamentals

You don’t need to know everything — but you need to be able to figure anything out.

How we work

Office-based in Newquay

Fast-moving, low ego, high ownership

You’ll work across two businesses:

Building internal systems

Building client-facing AI solutions

This is a chance to be early in something that’s going to grow quickly.

Why this role is different

You won’t be:

Maintaining legacy code

Working in a slow corporate environment

Building things that never get used

You will be:

Shaping how real businesses adopt AI

Building systems from scratch

Working directly with decision-makers

Seeing your work deployed and making an impact

Final note

We don’t expect you to tick every box.

But we do expect:

Intelligence

Curiosity

Obsession with the space

If that sounds like you — we should talk

Industry Insights

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

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.