Senior Data Architect

Tenth Revolution Group
London, United Kingdom
2 weeks ago
£80,000 – £90,000 pa
Applications closed

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Faculty AI London, United Kingdom
Hybrid

Salary

£80,000 – £90,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (2 weeks ago)

Benefits

15% Flex Up to 20% bonus

Senior data architect - Hybrid role in insurance - £90k

A global consultancy is seeking a senior data architect to take true ownership of enterprise data architecture across the London Market and Commercial Insurance space. You'll operate at enterprise level, working closely with senior stakeholders and architecture forums to define the direction of travel for data platforms, data products and AI enabled capabilities.

Key Responsibilities

  • Act as design authority within architecture review boards and forums.
  • Provide deep leadership across Syndicates, Delegated Authority, Reinsurance, Policy Administration and Pricing.
  • Define and enable data products for underwriting, claims, portfolio management and pricing.
  • Data governance, quality and master data
  • Engage confidently with stakeholders

Skills & Experience

  • Extensive experience in Insurance and London Market environments.
  • Proven experience as a senior/enterprise/lead data architect
  • Strong understandings in data modelling
  • Exposure to AI/ML platforms, Generative AI and AI-enabled engineering practices.

What the Offer:

  • Base Salary of £80-90k
  • 15% Flex
  • Up to 20% bonus

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Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.