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

Apply Now

Enterprise Solution Architect

Hammersmith
11 months ago
Applications closed

Related Jobs

View all jobs

Solution Architect – AI & Machine Learning

Data Engineer - UK or Greece Satalia

Data Engineer - Palantir

Graduate Data Scientist

Solution Consultant - IT & Data Science (EMEA)

Solution Consultant - IT & Data Science

Job Title: Enterprise Solutions Architect

Office Location with Hybrid Working: Hammersmith

Are you a seasoned Enterprise Solutions Architect ready to drive strategic alignment and innovation within a dynamic T&I organisation? This exciting role, reporting to the Director of Enterprise Architecture and Data, places you at the core of defining, evolving, and securing enterprise architecture, ensuring it meets business goals and exceeds expectations. This position combines end-to-end architectural leadership with a strong focus on stakeholder collaboration to achieve the highest standards of efficiency, security, and data integrity.

Location: Hammersmith, with hybrid working options

What Will You Be Doing?

Aligns the enterprise systems with the company's strategic vision
Works with business stakeholders to clarify and refine requirements aligned with business objectives
Contributes to the definition and ongoing maintenance of the Enterprise Architecture, using pragmatic application of TMF standards (e.g., eTOM process map and SID data model)
Takes ownership of one or more domains of the enterprise architecture (e.g., OSS, BSS) and works continuously to improve, focusing on efficiency, security, and data integrity
Acts as the architectural lead for key digital transformation programmes
Oversees and reviews design decisions to ensure consistency and alignment

What We Are Looking For

Proven experience in solution architecture, software development, business analysis, or similar domains
Stakeholder and supplier management, and mentorship experience
Proven experience in the ISP/Telco industry
Experience in implementing enterprise-level OSS/BSS solutions
Knowledge of Cloud Computing (e.g., AWS), Data Science, and generative AI
End-to-end experience of the Software Delivery Lifecycle, including Agile methodologies
Strong influence and stakeholder management skills
Strong drive and focus on results and delivery

Benefitts

Competitive salary
Global remote working for up to 2 weeks per year for those who are able to work remotely
25 days' paid holiday, increasing each year up to a maximum of 35 days
Extra days off for your birthday, moving home, wedding/civil partnership, and to volunteer
Private medical insurance provided by AXA Health
Life assurance covering 4 times your base salary
Partnership with the Kings Trust
Pension scheme matching contributions up to 4%
Retail offers - discounts from hundreds of recognised brands
Free broadband if you live in the service area
Enhanced pay for new parents

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

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.

Jobs

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.

Jobs

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.

🍪 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.