Service Now Architect

Arqiva

Huddersfield

1 month ago

Applications closed

Related Jobs

View all jobs

AI Solutions Architect (R122902 AI Solutions Architect) (Basé à London)

Data & AI Solution Architect, Azure, Remote

Machine Learning Engineer, Amazon Studios AI Lab (Basé à London)

Machine Learning Engineer, Ranking Platform New Remote - United Kingdom (Basé à London)

Lead Mobile Engineer

▷ [Apply Now] Data Scientist/AI Engineer

Location: Hybrid working with occasional visit to an Arqiva office (Winchester, London, Huddersfield) as and when required

We offer

Salary - upto £70k Bonus 10% 6% pension contribution Private Medical 25 days annual leave Access to our comprehensive flexible benefits including discounts on big brands, wellness and employee assistance programmes, gymflex, buy and sell annual leave, travel and dental insurance Work. Life. Smarter. Our commitment to a flexible and hybrid working culture

Role Purpose:

The Service Now/Data Architect is a specialist role accountable for service data modelling techniques in ServiceNow CMDB. This role requires in depth knowledge of Arqiva Product lines and industries.

Key Accountabilities:

Accountable for providing consultancy to Service Architects and Solution Architects in developing Service Blueprints Custodian of templated ServiceNow CMDB blueprinting Responsible for providing leadership in data modelling, providing coaching and training to Configuration Management team and others involved in CMDB updates Accountable for translating designs to logical representations in ServiceNow Accountable for eliciting service data information from Engineers, Delivery Managers and Commercial / Account Directors Accountable for documenting blueprinting methodology and data model representations

Qualifications:

Degree in math's / engineering / IT related degree

Required Expertise:

Strong experience in data modelling, including converting requirements to software, and data model creation Experience in translation physical designs to logical, vice versa, and also in translating from one framework to another . requirement translated to UML framework Relevant industry experience in Telco, broadcasting, technology, cloud, networks and IT Technical consultancy role or technical / senior BA preferred Data Architect experience advantageous ServiceNow CSDM experience advantageous

Required Technical / Professional Skillset(s):

Effective communicator, able to engage, listen and provide feedback and guidanceExcellent organisational skills, able to prioritise multiple tasks of varying size over varied timescalesUnderstand Strategy and Business Deliverablesand convert intoserviceblueprinting to facilitate success.Outcome driven, and able to design complex service data blueprint templates and methodologies Individual Accountability: Able to take initiative, act with confidence and work under own initiativeGrowth Mindset: Committed and open to change and challenging the status quoExcellent problem-solving skillsand able to interpret complex customer requirements Experience of using ServiceNow desirable

Why join Arqiva? We are the undisputed leader in UK TV and radio broadcast, and the UK’s leading Smart utilities platform. This means we have a strong heritage and foundation for future growth for you to grow your career with us.

Our journey is to transition global media distribution to cloud solutions, where we aim to double our revenue and continue to grow by being an innovator of scalable solutions for new connectivity sectors. We have opportunities in new technology applications and products, you will have opportunities to learn and develop with us.

Your wellbeing…. Our wellbeing mission is to help our people to be the best version of themselves at work and still have the time and energy to live a full life outside of work.

Our focus for 2024 is to Win, Grow, Go Faster – find out more, contact us and apply!

Inclusive Arqiva ….Our networks include our Diversity Ambassadors, Eldercare, Spectrum, Working Families, Pride, Veterans and Inspiring Women – join and contribute to our active networks!

#LI-KM1

Get the latest insights and jobs direct. Sign up for our newsletter.

Industry Insights

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

Apr 18, 2025

Careers Jobs

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.

Apr 13, 2025

Jobs

Machine Learning vs. Deep Learning vs. MLOps Jobs: Which Path Should You Choose?

Machine Learning (ML) continues to transform how businesses operate, from personalised product recommendations to automated fraud detection. As ML adoption accelerates in nearly every industry—finance, healthcare, retail, automotive, and beyond—the demand for professionals with specialised ML skills is surging. Yet as you browse Machine Learning jobs on www.machinelearningjobs.co.uk, you may encounter multiple sub-disciplines, such as Deep Learning and MLOps. Each of these fields offers unique challenges, requires a distinct skill set, and can lead to a rewarding career path. So how do Machine Learning, Deep Learning, and MLOps differ? And which area best aligns with your talents and aspirations? This comprehensive guide will define each field, highlight overlaps and differences, discuss salary ranges and typical responsibilities, and explore real-world examples. By the end, you’ll have a clearer vision of which career track suits you—whether you prefer building foundational ML models, pushing the boundaries of neural network performance, or orchestrating robust ML pipelines at scale.

Apr 10, 2025

Careers

Machine Learning Programming Languages for Job Seekers: Which Should You Learn First to Launch Your ML Career?

Machine learning has swiftly become a cornerstone of modern technology, transforming entire industries—healthcare, finance, e-commerce, and beyond. As a result, demand for machine learning engineers, data scientists, and ML researchers continues to surge, creating a rich landscape of opportunity for job seekers. But if you’re new to the field—or even an experienced developer aiming to transition—the question arises: Which programming language should you learn first for a successful machine learning career? From Python and R to Scala, Java, C++, and Julia, the array of choices can feel overwhelming. Each language boasts its own community, tooling ecosystem, and industry use cases. This detailed guide, crafted for www.machinelearningjobs.co.uk, will help you align your learning path with in-demand machine learning roles. We’ll delve into the pros, cons, and ideal use cases for each language, offer a simple starter project to solidify your skills, and provide tips for leveraging the ML community and job market. By the end, you’ll have the insights you need to confidently pick a language that catapults your machine learning career to new heights.