IT Technical Architect

Risley, Warrington
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Developer

Machine Learning and AI Engineering Lead

Data Engineering Lead / Data Architect

Senior Data Engineer

Senior Security Architect

Technical Trainer

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

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

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

Portfolio Projects That Get You Hired for Machine Learning Jobs (With Real GitHub Examples)

In today’s data-driven landscape, the field of machine learning (ML) is one of the most sought-after career paths. From startups to multinational enterprises, organisations are on the lookout for professionals who can develop and deploy ML models that drive impactful decisions. Whether you’re an aspiring data scientist, a seasoned researcher, or a machine learning engineer, one element can truly make your CV shine: a compelling portfolio. While your CV and cover letter detail your educational background and professional experiences, a portfolio reveals your practical know-how. The code you share, the projects you build, and your problem-solving process all help prospective employers ascertain if you’re the right fit for their team. But what kinds of portfolio projects stand out, and how can you showcase them effectively? This article provides the answers. We’ll look at: Why a machine learning portfolio is critical for impressing recruiters. How to select appropriate ML projects for your target roles. Inspirational GitHub examples that exemplify strong project structure and presentation. Tangible project ideas you can start immediately, from predictive modelling to computer vision. Best practices for showcasing your work on GitHub, personal websites, and beyond. Finally, we’ll share how you can leverage these projects to unlock opportunities—plus a handy link to upload your CV on Machine Learning Jobs when you’re ready to apply. Get ready to build a portfolio that underscores your skill set and positions you for the ML role you’ve been dreaming of!

Jobs Careers

Machine Learning Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Machine learning is fuelling innovation across every industry, from healthcare to retail to financial services. As organisations look to harness large datasets and predictive algorithms to gain competitive advantages, the demand for skilled ML professionals continues to soar. Whether you’re aiming for a machine learning engineer role or a research scientist position, strong interview performance can open doors to dynamic projects and fulfilling careers. However, machine learning interviews differ from standard software engineering ones. Beyond coding proficiency, you’ll be tested on algorithms, mathematics, data manipulation, and applied problem-solving skills. Employers also expect you to discuss how to deploy models in production and maintain them effectively—touching on MLOps or advanced system design for scaling model inferences. In this guide, we’ve compiled 30 real coding & system‑design questions you might face in a machine learning job interview. From linear regression to distributed training strategies, these questions aim to test your depth of knowledge and practical know‑how. And if you’re ready to find your next ML opportunity in the UK, head to www.machinelearningjobs.co.uk—a prime location for the latest machine learning vacancies. Let’s dive in and gear up for success in your forthcoming interviews.

Jobs

Negotiating Your Machine Learning Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Matches Your Technical Mastery and Strategic Influence in the UK’s ML Landscape Machine learning (ML) has rapidly shifted from an emerging discipline to a mission-critical function in modern enterprises. From optimising e-commerce recommendations to powering autonomous vehicles and driving innovation in healthcare, ML experts hold the keys to transformative outcomes. As a mid‑senior professional in this field, you’re not only crafting sophisticated algorithms; you’re often guiding strategic decisions about data pipelines, model deployment, and product direction. With such a powerful impact on business results, companies across the UK are going beyond standard salary structures to attract top ML talent. Negotiating a compensation package that truly reflects your value means looking beyond the numbers on your monthly payslip. In addition to a competitive base salary, you could be securing equity, performance-based bonuses, and perks that support your ongoing research, development, and growth. However, many mid‑senior ML professionals leave these additional benefits on the table—either because they’re unsure how to negotiate them or they simply underestimate their long-term worth. This guide explores every critical aspect of negotiating a machine learning job offer. Whether you’re joining an AI-focused start-up or a major tech player expanding its ML capabilities, understanding equity structures, bonus schemes, and strategic perks will help you lock in a package that matches your technical expertise and strategic influence. Let’s dive in.

🍪 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.