National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Enterprise Solution Architect

Hammersmith
7 months ago
Applications closed

Related Jobs

View all jobs

Solution Architect (Data Engineering)

Lead Data Engineer

Lead Data Engineer

Sr. Delivery Consultant - Data Scientist, AWS Professional Services Israel...

Senior Data Scientist 3-month FTC FE fundinfo Remote (United Kingdom)

Salesforce Health Cloud Expert

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

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.