AI Connect

About the Company

We help companies scale their Data & AI capabilities.

AI Connect is a modern Data & AI talent partner providing bespoke solutions to our clients hiring challenges.

We have been created to advise, support and enable organisations to attract exceptional Data and AI talent in the pursuit of achieving their commercial goals.

Services:
Machine Learning & AI
Data Engineering
Data Analytics
Marketing Effectiveness
Digital Transformation

Listed Jobs

Company Name

AI Connect

Job Title

Product Owner

Job Description

**Job Title:** Lead Product Owner – Data Platform **Role Summary:** Lead the transformation of fraud data management by driving a large‑scale cloud migration to AWS, shaping data platform strategy, and overseeing streaming data pipelines. Act as the primary liaison between senior stakeholders and technical teams to deliver a modern, scalable data lake and streaming architecture. **Expectations:** - Deliver end‑to‑end product vision for data platform migration and streaming solutions. - Align roadmap with business fraud‑detection objectives and regulatory requirements. - Ensure high‑quality data assets and optimal performance of streaming pipelines. - Communicate effectively with senior leadership and cross‑functional teams. **Key Responsibilities:** - Define product strategy, backlog, and delivery roadmap for the data platform migration to AWS. - Collaborate with engineering to design, build, and optimise Kafka‑based streaming pipelines. - Specify data lake structures, ingestion flows, storage, and accessibility standards. - Assess data assets and quality, identifying improvement opportunities. - Translate business requirements into technical specifications and user stories. - Prioritise features, manage dependencies, and oversee sprint execution. - Conduct stakeholder presentations and progress reporting. **Required Skills:** - Proven experience as a Product Owner or Data Product Owner in complex enterprise settings. - Strong knowledge of streaming technologies (e.g., Kafka) and data engineering concepts. - Hands‑on understanding of data lakes, data pipelines, and data quality assessment. - Expertise in AWS cloud services, especially for data platform migration and hosting. - Excellent communication, presentation, and stakeholder‑management abilities. - Ability to work closely with technical teams to shape requirements and delivery plans. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience). - Relevant certifications desirable (e.g., AWS Certified Solutions Architect, Certified Scrum Product Owner).

London, United kingdom

Hybrid

07-01-2026

Company Name

AI Connect

Job Title

AI Engineer - Motorsport

Job Description

Job title: AI Engineer – Motorsport Role Summary: Design, build, and deploy production‑ready AI solutions that enhance live motorsport events, fan engagement, and race insights. Work closely with technical and operations teams to create AI agents, data pipelines, and generative AI tools that run in real‑time on Google Cloud. Expectations: - Own end‑to‑end AI projects from concept through production deployment. - Deliver solutions that are used live at major international motorsport events. - Travel regularly to race locations worldwide. - Operate effectively in a fast‑paced, high‑impact environment. Key Responsibilities: - Build and maintain AI agents to automate workflows and power intelligent applications. - Develop scalable data pipelines on Google Cloud to support real‑time AI use cases. - Integrate generative AI and large‑language model (LLM) technologies into production tools. - Collaborate with technical and live‑operations teams to transform ideas into functional products. - Iterate on AI solutions, ensuring performance, reliability, and user‐centric value. Required Skills: - Proficient in Python and SQL for AI/data development. - Practical experience building AI/ML‑powered applications. - Hands‑on with Google Cloud services (Vertex AI, Gemini, or equivalent). - Familiarity with generative AI and LLM workflows. - Ability to deliver under tight deadlines in a real‑world setting. - Strong problem‑solving, communication, and teamwork skills. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s preferred). - 3+ years of professional AI/ML engineering experience. - Experience with cloud‑native AI services on Google Cloud or similar platforms.

London, United kingdom

Hybrid

27-01-2026