VIQU IT Recruitment

About the Company

We’re an IT & tech recruitment agency with over 25 members of staff spread across 2 offices in central Birmingham and Southampton. Our 2 teams comprise of experienced IT recruiters that have the knowledge and determination to give our clients and candidates great results whilst delivering a top-notch service. To learn more about VIQU and the services we provide, please visit our website.

Listed Jobs

Company Name

VIQU IT Recruitment

Job Title

Head of AI and Data Science

Job Description

Job title: Head of AI and Data Science Role Summary: Senior strategic and technical leader tasked with building and scaling AI capabilities, establishing governance frameworks, and driving AI adoption across a regulated insurance organization. Expectations: Deliver a comprehensive AI strategy aligned with business goals, create and lead an AI Centre of Excellence, oversee end‑to‑end AI solution development, ensure responsible AI governance, mentor a high‑performing data science team, and communicate value to senior stakeholders. Key Responsibilities: - Define and execute the organization’s AI and data science strategy. - Build and grow an AI Centre of Excellence from inception. - Design, develop, and deploy AI/ML solutions that deliver measurable business value. - Develop and enforce AI governance and responsible AI frameworks in line with regulatory and ethical standards. - Identify and champion high‑impact AI use cases to accelerate adoption. - Provide thought leadership on emerging AI trends and best practices. - Recruit, mentor, and scale a high‑performing team of data scientists and AI specialists. - Collaborate with cross‑functional teams (technology, risk, business) to embed AI capabilities. - Present progress, insights, and opportunities to executive leadership and senior stakeholders. Required Skills: - Extensive hands‑on experience in data science, machine learning, and AI. - Proven track record building and scaling AI or data science teams/functions. - Deep understanding of AI governance, responsible AI, and regulatory compliance (especially in insurance or financial services). - Strategic thinking combined with hands‑on technical execution. - Strong stakeholder engagement and executive‑level communication. - Proficiency with cloud‑based AI/ML platforms (e.g., Azure) and modern tooling. - Ability to translate complex technical concepts to non‑technical audiences. Required Education & Certifications: - Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. - Relevant certifications (e.g., Azure AI Engineer Associate, Certified Data Scientist) are an advantage.

London, United kingdom

Hybrid

18-03-2026

Company Name

VIQU IT Recruitment

Job Title

Data Product & ML Management Lead

Job Description

Job Title: Data Product & ML Management Lead Role Summary: Lead the strategy, development, and delivery of end‑to‑end data and machine learning products. Own full product lifecycle, ensuring governance, performance tracking, and alignment with business objectives. Collaborate across data science, engineering, and stakeholder teams to launch scalable, production‑ready ML solutions. Expectations: - Deliver data‑driven products that meet measurable business outcomes. - Establish and maintain governance frameworks for data and ML compliance. - Drive continuous improvement through user feedback and performance metrics. - Operate within Agile or continuous delivery environments. Key Responsibilities: - Define product vision and strategy for data and ML offerings. - Own product lifecycle: prioritization, design, release, and performance monitoring. - Partner with data science & engineering to transform research prototypes into production‑ready solutions on Azure and Databricks. - Engage business stakeholders to prioritize roadmaps and deliver quantifiable value. - Set up and enforce data and ML governance, security, and compliance practices. - Champion iterative improvement using feedback loops and analytics. Required Skills: - 5+ years of data product management experience, including AI/ML product delivery. - Strong technical fluency with Azure and Databricks platforms. - Proven experience deploying machine learning models in a business setting. - Ability to design and implement governance frameworks for data and ML. - Excellent communication, stakeholder engagement, and cross‑functional collaboration. - Experience working in Agile or continuous delivery environments. - Comfortable coordinating between data scientists, engineers, and business leaders. - Industry knowledge of insurance (preferred). Required Education & Certifications: - Bachelor’s degree in Computer Science, Data Science, Business Analytics, or related field (minimum). - Professional certifications in product management, data science, or cloud platforms (e.g., Azure Data Engineer Associate, ML certification) are a plus.

London, United kingdom

Hybrid

Senior

18-03-2026