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

Apply Now

Data & AI Solution Architect (Hiring Immediately)

OBSS
8 months ago
Applications closed

Related Jobs

View all jobs

Business & Data Governance Associate - Data Science & AI - Nomura

Business & Data Governance Associate - Data Science & AI

Senior Data Scientist, Generative AI Innovation Center, AWS Generative AI Innovation Center

Senior Data Scientist, Generative AI Innovation Center, AWS Generative AI Innovation Center

Graduate Data Scientist

Graduate Data Scientist

About Us

At OBSS Technology, we empower organizations to achieve their goals through innovative, data-driven, and AI-focused solutions. With expertise in large-scale enterprise projects, we leverage cutting-edge technologies to transform business processes and deliver exceptional value. We are seeking an experienced Data & AI Solution Architect to join our team and spearhead transformative retail and e-commerce projects.


Role Overview

As a Data & AI Solution Architect, you will drive the design and delivery of cutting-edge solutions that align with our clients' business strategies. You will oversee the end-to-end technical roadmap, lead architectural decisions, and ensure successful project execution. This role will focus on delivering impactful data and AI solutions, integrating modern machine learning techniques, and driving innovation within the retail and e-commerce domain.


Responsibilities

• Drive the design and implementation of large-scale data architectures and analytics projects for a retail/e-commerce client.

• Incorporate advanced Data Science and AI capabilities such as Natural Language Processing (NLP), Computer Vision, Generative AI (GenAI) and LLM into client projects.

• Translate complex business requirements into technical solutions, ensuring seamless integration into existing systems.

Qualifications

• Bachelor’s or higher degree in a relevant field such as Computer Science, Software Engineering, Data Science, Mathematics, Statistics, or related disciplines.

• Minimum 8 years of experience in Data Science, Machine Learning, Deep Learning and Advanced Data Analytics projects.

• Hands-on experience with modern data and ML platforms, cloud AI/Data services, major open source tools and libraries.

• Experience with MLOps practices (e.g., MLflow, Kubeflow) is a plus.

• Strong communication skills for translating technical concepts to non-technical stakeholders.

• Experience in a number of Retail, CRM, Marketing use cases (e.g., advanced personalization, recommendation systems, segmentation, campaign targeting, CLV, churn analysis) is required.

• Having industry certifications in AI, data analytics, or data science is a plus.

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

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

Jobs

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

🍪 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.