Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Technical Architect

Sage
Newcastle Upon Tyne
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Science Consultant, AWS Professional Services

Senior Data Science Consultant, AWS Professional Services

Senior Data Engineer

Senior Data Engineering Manager

Principal Data Engineer/Architect

Senior Staff Machine Learning Scientist, Operations

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.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.