IT Technical Architect

Risley, Warrington
11 months ago
Applications closed

Related Jobs

View all jobs

Up to £200,000 base + bonuses - Data Engineering Lead

Up to £200,000 base + bonuses - Data Engineering Lead

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Associate Director, Data Science/Gen AI Lead - ER&I

Are you a highly skilled and experienced Technical Architect looking for a new challenge? NRL Ltd is seeking an innovative and dynamic individual to join our client's team for an initial 8-month contract. As an IT Technical Architect, you will play a critical role in providing technical leadership and guidance across a range of complex projects and services, defining and implementing the technical vision and roadmap for our organization, and ensuring that our technology solutions align with our business objectives and support our future growth.

The Role:
As the IT Technical Architect, you will provide technical leadership and guidance to project and service teams, define and develop technical architectures, contribute to solution design and development, actively participate in project delivery, improve operational efficiency, and provide M&A support. Additionally, you will leverage your industry best practices and deep expertise in various technical domains to align technology solutions with business objectives and support future growth.

You will need:

Proven experience as a Technical Architect with a strong understanding of various technologies and architectures.
Industry Best Practices: experienced in applying and aligning to ITIL, Prince2, TOGAF, Archimate.
Deep expertise in multiple technical domains, including but not limited to enterprise-scale IT, service desk, end-user computing, applications, servers, network, storage, cloud, cyber security, data science, and automation.
Strong analytical and problem-solving skills with the ability to think strategically and creatively.
Excellent communication and interpersonal skills with the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.Benefits:
Competitive hourly rate, dependent on experience
Opportunity to work with a dynamic and innovative team
Remote work with occasional travel to Warrington
Professional development opportunitiesReference Number: (phone number removed)

The NRL Group connect global companies with the right people to bring engineering projects to life. Supporting contracting companies with energy transition plans and working with our clients to create a cleaner, greener future.
 
We welcome applications from every walk of life and are committed to diversity within the industries we support, as a certified Inclusive Recruiter and Armed Forces friendly employer. You can ensure you stay safe when job searching online by visiting the JobsAware website

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.