Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Solution Architect - Advisory, Insights

London
10 months ago
Applications closed

Related Jobs

View all jobs

Solution Architect – AI & Machine Learning

Data Engineer

Data Analyst

Data Engineer

Data Engineer

Lead 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.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

Jobs

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

🍪 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.