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

Nominate & Attend

Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote

Manchester Square
1 month ago
Applications closed

Related Jobs

View all jobs

Solution Architect, Data, AI, Microsoft Azure, Hands On, ETL, Remote

Data Architect (GCP)

Pre Sales AI Data Architect

Fabric Data Architect / Edinburgh / Microsoft Gold Partner

Data Architect

Principal Data Architect

Solution Architect, Azure AI Services, Data, PaaS, ETL, Data Modelling, Remote

Solution Architect / AI / Data / Microsoft Stack / Azure required to work for a fast growing Enterprise business based in Central London. However, this will be a remote role and you may have the odd meeting in London, along with some global travel (all expenses paid).

This role will be working at the forefront of AI , it will be VERY hands on and we need this candidate to not only have the Data Architecture experience within a Microsoft Stack environment, but we need you to have done some relevant AI solution designing too. We need you to understand Data, the Data Concepts, Natural Language Intelligence, the Deployment of off the shelf technologies etc. Ultimately, we need you to be passionate about Microsoft Technologies, AI and Data! Read on for more details…

Role responsibilities:

·Tertiary qualifications in Information Technology, Data Science, AI, or related fields; qualifications in Architecture and Project Management are desirable.

·A minimum of three (3) years in a senior technical role focused on data and AI, such as technical lead, team lead, or architect.

·Knowledge of Enterprise Architecture methodologies, such as TOGAF, with a focus on data and AI.

·Experience in assessing data and AI solutions, particularly in Business Intelligence and Data Analytics.

·Excellent communication skills to explain data and AI concepts to non-technical audiences. Fluency in English; other languages are a plus.

·Strong planning and organizational skills, with the ability to communicate across various levels of stakeholders.

·Self-starter with the ability to prioritize and plan complex data and AI work in a rapidly changing environment.

·Results-oriented with the ability to deliver data and AI solutions that provide organizational benefits.

·Strong critical thinker with problem-solving aptitude in data and AI contexts.

·Team player with experience leading cross-functional teams to deliver data and AI solutions.

·Ability to develop data and AI architecture designs; experience with Service-Oriented Architectures (SOA) and AI frameworks.

·Available to work flexible hours, with strong collaboration, communication, and business relationship skills.

·Expert skill level experience with the following technologies:

  • Azure AI Services

  • Azure PaaS Data Services

  • Object Oriented Analysis and Design

  • CI/CD and source control

  • ETL techniques and principles

  • Data modelling

  • Master Data Management

  • Data Visualization

    ·Experienced in building Microsoft AI Services

    ·Reporting and analytics solutions in the Microsoft Azure ecosystem

    This is a great opportunity and salary is dependent upon experience. Apply now for more details
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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science 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 kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

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

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science 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 gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science 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 data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.