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About the Role
We are seeking a hands-on AI/ML Engineer to build, deploy, and optimize machine learning and Generative AI solutions. The role focuses on developing production-grade AI applications, integrating AI models into business systems, and supporting the full AI development lifecycle. The ideal candidate is passionate about modern AI technologies, software engineering best practices, and delivering reliable AI solutions at scale.
Responsibilities
- Design, build, and maintain AI-powered applications and services.
- Develop and deploy Machine Learning and Generative AI solutions.
- Build Retrieval-Augmented Generation (RAG) systems and AI agents.
- Integrate foundation models and APIs into enterprise applications.
- Create reusable AI components and frameworks.
- Train, fine-tune, evaluate, and deploy ML models.
- Develop feature engineering and model evaluation pipelines.
- Implement model monitoring and performance tracking.
- Optimize model inference performance and cost efficiency.
- Develop LLM-based applications and workflows.
- Build prompt templates, agent frameworks, and orchestration pipelines.
- Implement vector search and knowledge retrieval systems.
- Design evaluation frameworks for AI quality, safety, and reliability.
- Improve hallucination mitigation and response accuracy.
- Design and automate ML model training, validation, and retraining pipelines.
- Version and manage datasets, features, and model artefacts using tools such as MLflow or similar.
- Deploy and serve ML models via REST APIs or batch inference at scale on Databricks, Snowflake or similar.
- Monitor model performance in production, detecting drift and degradation.
- Manage feature stores and ensure data pipeline reliability for ML workloads.
- Implement experiment tracking and reproducibility across the model lifecycle.
- Work closely with Solution Architects, Product Managers, and Engineering Teams.
- Participate in code reviews and technical design discussions.
- Support testing, deployment, and ongoing optimisation activities.
Requirements
- Strong proficiency in Python
- Strong proficiency in SQL
- Experience with Scikit-learn
- Experience with PyTorch and/or TensorFlow
- Experience with Hugging Face
- Experience with Main AI services from leading cloud service and model providers
- Experience with Supervised and unsupervised learning
- Experience with Model evaluation
- Experience with Feature engineering
- Experience with Statistical concepts
- Practical experience building RAG systems
- Practical experience building AI agents
- Practical experience building LLM-powered applications
- Practical experience building Vector search solutions
- Familiarity with LangChain
- Familiarity with LlamaIndex
- Familiarity with Semantic Kernel
- Familiarity with LangGraph
- Experience with AWS
- Experience with Docker and containerization
- Experience with Kubernetes (preferred)
- Experience with CI/CD pipelines and DevOps practices
- 3+ years in ML engineering or data science, with demonstrable experience deploying models to production and building Gen AI applications including RAG systems, LLM integration, or agentic workflows
- Demonstrated experience delivering AI solutions into production environments.
Skills
- Python
- SQL
- Scikit-learn
- PyTorch
- TensorFlow
- Hugging Face
- AWS
- Docker
- Kubernetes
- CI/CD
- DevOps
- Machine Learning
- Generative AI
- RAG systems
- AI agents
- LLM
- Vector search
- LangChain
- LlamaIndex
- Semantic Kernel
- LangGraph
- MLflow
Location
- Remote
Work Type
- Full-time
- Remote
Experience Level
- 3+ years
Education Level
- Incentivised certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat
Benefits
- Quarterly Performance-Related Profit Share Scheme
- Strong Career Progression & mentorship coaching
- Strength in Balance & Leadership schemes
- Dedicated quarterly Pathways Career Development programme
- Flexible/remote working
- Pension
- Private Healthcare Cover
- Life Assurance
- Financial advice
- Employee Discount scheme
- Gym Discounts
- Bike to Work
- Fitness classes
- Mindfulness Workshops
- Employee Assistance Programme
- Generous holiday allowance
- Enhanced maternity/paternity leave
- Marriage/civil partnership leave
- Special leave policies
- Educational assistance
- Incentivised certifications and accreditations
- Version 1’s Annual Excellence Awards
- ‘Call-Out’ platform
- Environment, Social and Community First initiatives
About the Company
- 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 Anthropic, 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 valuesdriven 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.
Equal Opportunity
- 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.
- 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 [email protected] at Version 1.
- We will consider all requests carefully, respectfully and confidentially.