Senior Technical Architect

Sage
Newcastle Upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Staff Data Engineer

Principal Data Engineer

Principal Data Engineer

Principal Data Engineer (MS Azure)

Senior Data Engineer

Senior Data Engineering Consultant

Job Title Senior Technical Architect Job Description Job Description Looking to accelerate your architecture career? Want to own, define and set the architecture for global, cloud-based SaaS products and services? See your technical solutions through to launch and beyond? Make a real difference to customers? You'll join a team of talented, innovative, fresh-thinking architects whilst being part of a wider global architecture community. You'll take an active role in the architecture of our products and services, with the freedom to do the best work of your career. Your first 12 months will look something like this: • Set up your new MacBook Pro (other laptops also available). • Understand the exciting Sage Network north star vision we are working towards. • Discover the breadth and depth of the cloud-based SaaS products and services you'll be working on. • Work with a wide variety of business/commercial stakeholders and agile delivery teams on fast-moving, innovative projects and initiatives. • See your architecture directly impact millions of businesses and users across 24 global markets. • Continue your self-development - with dedicated learning days, and funding to attend or speak at conferences and meetups. • Make a difference to the communities we live and work in with 5 volunteer days every year. Key Responsibilities • Lead the architecture of high-profile projects, products and services - directly impacting upon the future strategic growth of Sage. • Own architecture, software design and governance for products and services spanning multiple agile delivery teams. • Ensure the architecture roadmap supports the effective planning, financing and execution of the Sage Network strategy. • Possess and apply comprehensive knowledge of software architecture to the completion of complex assignments. • Demonstrate expertise in the strategy and operationalisation of modern technology trends like cloud, social, mobile, AI, machine learning etc. • Lead, inspire, motivate, coach and develop technical experts. Function Product Delivery Country United Kingdom Office Location Newcastle Work Place type Hybrid Advert Working at Sage means you're supporting millions of small and medium sized businesses globally with technology to work faster and smarter. We leverage the future of AI, meaning business owners spend less time doing routine tasks, like entering invoices and generating reports, and more time pursuing their ambitions. Our colleagues are the best of the best. It's why we were awarded 2024 Best Places to Work by Glassdoor. Because to achieve extraordinary outcomes, we need extraordinary teams. This means infusing Sage with people who knock down barriers, continuously innovate, and want to experience their potential. Learn more about working at Sage: sage.com/en-gb/company/careers/working-at-sage/ Watch a video about our culture: youtube.com/watch?vqIoiCpZH-QE We celebrate individuality and welcome you to join us if you embrace all backgrounds, identities, beliefs, and ways of working. If you need support applying, reach out at careerssage.com . Learn more about DEI at Sage: sage.com/en-gb/company/careers/diversity-equity-and-inclusion/

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.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

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.

🍪 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.