Senior AI Product & Research Engineer (Consultant) at Version 1 Cedar

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

28 Sep, 26

Salary

0.0

Posted On

30 Jun, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Engineering, LLMs, RAG Systems, Python, Fine-tuning, Embeddings, Orchestration Frameworks, AI Product Development, Applied Research, Agentic Systems, Model Evaluation, Cloud-native Architectures, Distributed Systems, AI Coding Agents, Observability, Technical Roadmap Planning

Industry

IT Services and IT Consulting

Description

Company Description Version 1 has celebrated 30 years in business and continues to be trusted by global brands to deliver technology and transformation solutions that drive customer success. Our deep expertise enables our customers to navigate the rapidly evolving technology landscape. We foster strong partnerships with global technology leaders including Microsoft, AWS, Oracle, Red Hat, OutSystems, Snowflake, ensuring that our customers are provided with the highest quality solutions and services. We’re an award-winning employer reflecting how our employees are at the very heart of what we do: UK & Ireland's premier AWS, Microsoft & Oracle partner 3300+ strong, €350/£300m revenue business 10+ years as a Great Place to Work in Ireland & UK Best Workplace for Women in the UK & Ireland by GPTW Best Workplace for Wellbeing in the UK by GPTW We’re a core values driven company, we hire people who share our values, and we reward those who display and foster them, it’s deeply embedded within our DNA. Invest in us and we’ll invest in you!. Job Description About the Role We are seeking a Senior AI Product & Research Engineer (Consultant) to help design, prototype, and scale enterprise-grade AI products. This role combines deep technical AI expertise with strong product intuition and hands-on experience leveraging modern AI development tools and coding agents. You will work closely with leadership, engineering, and research teams to translate ambitious AI concepts into deployable, secure, and scalable production systems. What You Will Do Translate business and research objectives into scalable AI product architectures. Rapidly prototype AI-driven applications using modern AI coding agents and developer copilots. Design and implement enterprise-grade AI systems across model development, evaluation, and deployment. Lead applied research efforts across LLMs, agentic systems, retrieval architectures, and applied ML. Establish evaluation frameworks to measure model quality, safety, robustness, and business impact. Architect production-ready AI applications with strong observability, monitoring, and iteration loops. Advise on AI tooling, vendor selection, infrastructure alignment, and technical roadmap decisions. Mentor internal engineers on modern AI development workflows and best practices. Qualifications What We’re Looking For 8 - 12+ years of experience across AI/ML engineering, applied research, or AI product development. Demonstrated experience building and shipping enterprise-grade AI products. Deep familiarity with modern AI stacks (LLMs, RAG systems, fine-tuning, embeddings, orchestration frameworks). Hands-on experience using AI coding agents and AI-assisted development tools in production workflows. Strong product instincts: ability to balance technical feasibility, business value, and user experience. Proficiency in Python and modern AI frameworks. Nice to Have Experience deploying AI systems in regulated or security-sensitive environments. Familiarity with distributed systems and cloud-native architectures. Background working at leading AI labs, big tech, or high-performance startups. Experience designing internal AI platforms used by multiple teams. Additional Information Why Version 1? At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their wellbeing, professional growth, and financial stability. Share in our success with our Quarterly Performance-Related Profit Share Scheme, where employees collectively benefit from a share of our company's profits Strong Career Progression & mentorship coaching through our Strength in Balance & Leadership schemes with a dedicated quarterly Pathways Career Development programme Flexible/remote working, Version 1 is tremendously understanding of life events and people’s individual circumstances and offer flexibility to help achieve a healthy work life balance Financial Wellbeing initiatives including; Pension, Private Healthcare Cover, Life Assurance, Financial advice and an Employee Discount scheme Employee Wellbeing schemes including Gym Discounts, Bike to Work, Fitness classes, Mindfulness Workshops, Employee Assistance Programme and much more. Generous holiday allowance, enhanced maternity/paternity leave, marriage/civil partnership leave and special leave policies Educational assistance, incentivised certifications, and accreditations, including AWS, Microsoft, Oracle, and Red Hat Reward schemes including Version 1’s Annual Excellence Awards & ‘Call-Out’ platform. Environment, Social and Community First initiatives allow you to get involved in local fundraising and development opportunities as part of fostering our diversity, inclusion and belonging schemes. And many more exciting benefits… drop us a note to find out more. Version 1 is an equal opportunities employer. We are committed to building a diverse, inclusive and respectful workplace where everyone feels valued and able to thrive. We welcome applications from people of all backgrounds, identities and lived experiences, and we value the different perspectives people bring including those shaped by disability and neurodiversity. We want every candidate to have a positive and accessible recruitment experience. If you need reasonable adjustments at any stage of the process, please contact your recruiter at Version 1. We will consider all requests carefully, respectfully and confidentially. Video links: https://www.youtube.com/watch?v=F_d3ELTH5zo Department: Digital, Data and Cloud

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Responsibilities

Design, prototype, and scale enterprise-grade AI products by translating business objectives into scalable architectures. Lead applied research on LLMs and agentic systems while mentoring internal engineers on modern AI workflows.