AI Solutions Architect

Proactive Appointments
Exeter, United Kingdom
Last month
£55,000 – £70,000 pa

Salary

£55,000 – £70,000 pa

Job Type
Permanent
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
1 May 2026 (Last month)

Benefits

Bonus

AI Solutions Architect

Exeter, Devon | Hybrid | Permanent | Up to £70k per annum + Bonus |

We’re helping a leading organisation on their search to onboard two Solutions Architects into their expanding team. As a Solutions Architect, you’ll play a pivotal role in shaping and enhancing core business systems, driving efficiency through smart integrations, automation, and emerging technologies. This is an opportunity to combine technical expertise with creative problem-solving to deliver solutions that genuinely improve how the organisation operates.

Experience required:

  • Automation across Microsoft Technology (M365, Power Platform and Azure)
  • Development – Back End & Front End technologies (C#, SQL, JavaScript or Python)
  • Data Reporting
  • AI & ML – Understanding of AI and Large Language Models (LLM), AI Governance, Identifying opportunities for AI and Automation
  • Integrations – between core business systems and third-party platforms
  • Collaboration – working closely with key stakeholders and the wider technology department

Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted.

Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation

We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website

Related Jobs

View all jobs

AI Associate Director - AI Solutions & Architecture

Method Resourcing London, United Kingdom
£100,000 – £130,000 pa On-site

Lead Data Scientist

Faculty AI London, United Kingdom
Hybrid

Lead Computer Vision Engineer

Faculty AI London, United Kingdom
Remote Clearance Required

Computer Vision Engineer

Faculty AI London, United Kingdom
Hybrid Clearance Required

Solutions Architect

Synthesia New York City, New York, United States
£140,000 – £230,000 pa Hybrid

Lead Solutions Architect - Strategic Customers

Databricks London, United Kingdom
Hybrid

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

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

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. 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.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown 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 data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science 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.