Data Architect

Experis
Croydon, London, United Kingdom
Today
£700 – £750 pd

Salary

£700 – £750 pd

Job Type
Contract
Work Location
Hybrid
Seniority
Senior
Education
Degree
Security Clearance
Required
Posted
29 Apr 2026 (Today)
Share
Save job
Create job alert

Data Architect

Location: Croydon (once per week in the office)

Duration: 6-12 months initially

Clearance: Active SC clearance required

Note: Must have a minimum of 5 years of unbroken UK residency

Are you passionate about shaping the future of AI and enterprise architecture? Our client, a leading organisation, is seeking a talented Data Architect to provide strategic leadership on adopting agentic AI and large language models (LLMs) across the enterprise SDLC. This is an exciting opportunity to influence cutting-edge AI integration within a dynamic environment.

What you'll be doing:

* Lead the architectural strategy for integrating autonomous agents, multi-agent workflows, and enterprise-scale LLMs.

* Define governance frameworks ensuring transparency, security, prompt governance, and responsible AI practices.

* Advise senior stakeholders on technical, organisational, and SDLC implications of agentic AI adoption.

* Collaborate with external AI providers on hosting, safety testing, versioning, and operational support models.

* Oversee architectural artefacts illustrating interactions of AI components across teams and systems.

* Mentor senior architects to develop expertise in LLM and agentic AI solutions.

* Lead governance and review forums to ensure compliance with enterprise standards.

* Influence programme planning by identifying necessary process, tooling, and organisational changes for AI adoption.

What you'll bring:

* Proven experience in enterprise architecture, especially with AI and LLM integration.

* Strong understanding of AI governance, security, and responsible AI principles.

* Ability to advise and influence senior stakeholders and external partners.

* Experience mentoring and leading architectural review boards.

* Excellent communication skills and strategic thinking.

Nice to have:

* Knowledge of AI safety testing, version control, and operational support for AI systems.

* Experience working within structured SDLC environments.

If you're ready to lead innovative AI initiatives and work on transformative projects, we'd love to hear from you. Apply now to be part of this exciting journey

Related Jobs

View all jobs

Data Architect

Experis Croydon, London, United Kingdom
£700 – £750 pd Hybrid Clearance Required

Data Architect

Triad Milton Keynes, Buckinghamshire, United Kingdom
£75,000 – £80,000 pa Hybrid Clearance Required

Data Architect

Ncounter Frome Whitfield, Dorset, United Kingdom
£750 – £850 pd Hybrid Clearance Required

Data Architect

Qualient Technology Solutions UK Limited London, United Kingdom
£70,000 – £120,000 pa On-site

Data Architect

Damia Group Chiswick, London, W4 5PS, United Kingdom
£70,000 – £90,000 pa

Data Architect

Damia Group Chiswick, W4 5PS, United Kingdom

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.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 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.