Artificial Intelligence Engineer

vertinetik
Edgmond
1 year ago
Applications closed

Related Jobs

View all jobs

Artificial Intelligence Engineer

Microsoft AI Engineer / Azure Artificial Intelligence Engineer

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Artificial Intelligence / Machine Learning Engineer - 12 Month Fixed Term Contract

Professor of Artificial Intelligence

AI Engineer Location: Edgmond, Newport, ShropshirePosition Type: Full-time (Part time/Contract to be considered)About Us: Vertinetik is a cutting-edge technology companyspecializing in the development of predictive models for treediseases using remote sensing. Our mission is to tackle climaterisk head-on by pioneering a platform that harnesses thecapabilities of UAV and satellite based remote sensing. Our goal isto safeguard our natural environment, enable large-scale naturerestoration efforts, actively contribute to carbon removalinitiatives, and leverage advanced Earth observation technology tobuild a resilient and sustainable future for our planet. JobDescription: The purpose of this position is to work on acollaborative project between Vertinetik and the UK AgriTech Centreon developing predictive models of Ash Dieback and other treediseases which can be integrated with decision support systems toinform management of England’s Ash trees. The project aims toprovide an affordable solution to benefit smaller farmers andlandowners in identifying disease infestations and taking proactiveintervention measures to protect the economic and ecological valueof Ash trees. The position will specifically contribute throughsurveying woodlands to validate drone survey data, and to processand analyse the drone survey data. We are seeking an AI Developerto join our innovative team. Your role will focus on utilizingmachine learning and deep learning technologies to advance ourplatform, which integrates UAV and satellite remote sensing datafor environmental monitoring . You will play a vital role indeveloping systems that integrate remote sensing data for treedisease detection and vegetation monitoring, contributing to bothpost-processing and real-time image analysis. In this role, youwill play a key part in the development of predictive models fortree disease detection and monitoring based on UAV and satelliteremote sensing data. The working hours of this position are 9am-5pmMonday to Friday (35 hours a week). Responsibilities: Develop andimplement machine learning and deep learning models to enhancepredictive analytics for tree disease detection. Explore deploymentof models using Google’s Earth Engine and Vertex AI. Experimentwith Generative AI to improve accuracy in analytical models.Analyze visual, multispectral, and LiDAR imagery to assessvegetation health and identify hazards near infrastructure. UtilizeUAV remote sensing data to extract relevant features andinformation for disease prediction. Collaborate with GIS and ML/DLexperts to integrate geographical and spatial data into thepredictive models. Document code, methodologies, and findings forknowledge sharing and reproducibility. Qualifications: Bachelors orMasters degree in Computer Science, Data Science, EnvironmentalScience, Geospatial Sciences, or a related field. Ph.D. is a plus.Proven experience in machine learning and deep learning, with afocus on computer vision and image segmentation. Proficiency inprogramming languages such as Python and familiarity with relevantlibraries (e.g., TensorFlow, PyTorch, scikit-learn) Strongtechnical ability to manage and analyze satellite and UAV imagery.Knowledge of remote sensing techniques and data sources, especiallyUAV and satellite imagery. Excellent problem-solving and analyticalskills. Strong communication and teamwork abilities. Self-drivenwith a passion for staying at the forefront of technologyadvancements. Desired Skills: Experience with Google’s Vertex AIenvironment Experience with Google’s Earth Engine. Optional Skills:Knowledge of ENVI for hyper spectral data analytics. Salary andBenefits This role offers the opportunity to be involved in anexciting new project to help devise a solution to the management ofthe Ash Dieback crisis within the UK. It boasts a flexible workingenvironment - both remote and in-office options, and flexibility inremote working hours. How to Apply: Interested candidates areencouraged to submit their resume, a cover letter detailing theirrelevant experience and motivation for applying. Vertinetik is anequal opportunity employer and welcomes applications fromcandidates of all backgrounds.

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.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.