Solution Architect - Advisory, Insights

Bristol

1 year ago

Applications closed

Related Jobs

View all jobs

Enterprise AI Solution Architect: Generative AI & MLOps

Tech Lead - Data Engineer

Data Analyst - Contract

Azure Data Engineer for Scalable SaaS Analytics

Data Analyst (Nuclear)

Principal GCP Data Engineer

Solution Architect - Advisory, Insights

Salary: £100,000 - £120,000 - Bonus + Pension + Private Healthcare

Location: London / UK Wide Location - Hybrid working

To be successfully appointed to this role, you must be eligible for Security Check (SC) clearance.

The Client:

83zero is proud to be partnered with a global leader in digital services, driving innovation in customer experience through CRM, marketing, business intelligence, and cloud solutions. Their cutting-edge technologies are tailored for enterprise clients, delivering platforms that not only meet today's business needs but also pave the way for future growth. These solutions empower digital transformation initiatives, unlock new business opportunities, and make customer relationship operations more relevant in today's evolving landscape.

Hybrid Working: Your work locations will vary based on your role, business needs, and personal preferences. This will include a mix of office-based work, client sites, and home working, with the understanding that 100% home working is not an option.

Your Role

We are looking for

Skilled Architects who bring a blend of consulting skills, with data and insights experience.
You will be able to lead teams of talented colleagues across architecture, insights and data to transform the way companies and government operate.
Our team is on a growth trajectory and we are looking for someone to help to accelerate this growth.Your Skills and Experience

Provide clearly articulated points of view on topics of focus, such as AI platforms, data engineering, security and privacy, DataOps, migration strategies etc.
Be a lead for fresh engagements, forming excellent relationships with client teams and building bridges for delivery activities
Forge excellent links with related disciplines across the organisation, including AI engineering, cloud infrastructure, customer software development, consulting, systems engineering etc. and forge excellent links with partners and vendors across the industry to ensure that they always provide a leading point of view.Experience:

Advisory skillsets including consulting, influencing, communication, coaching and mentoring skills
Strong track record of architecting, designing and delivering complex large-scale data and/or analytics and AI centric solutions
Experience of architecting solutions deployed in cloud, on-prem and hybrid or multi-cloud environmentsTo apply please click the "Apply" button and follow the instructions.

For a further discussion, please contact Caitlin Earnshaw on (phone number removed) or alternatively email:

83DATA is a boutique Tech & Data Recruitment Consultancy based within the UK. We provide high quality interim and permanent Tech & Data professionals

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Feb 3, 2026

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Jan 29, 2026

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Jan 24, 2026

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.