AI Engineer

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.

Key Responsibilities

AI Application Development

• 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.

Machine Learning Engineering

• 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.

Generative AI Engineering

• 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.

MLOps & Deployment

• 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.

Collaboration

• 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.

Qualifications :

Programming & Engineering

• Strong proficiency in:
  • Python
  • SQL

AI & Machine Learning

• Experience with:
  • Scikit-learn
  • PyTorch and/or TensorFlow
  • Hugging Face
  • Main AI services from leading cloud service and model providers
  • Supervised and unsupervised learning
  • Model evaluation
  • Feature engineering
  • Statistical concepts FS1 FS2 

Generative AI

• Practical experience building:
  • RAG systems
  • AI agents
  • LLM-powered applications
  • Vector search solutions
• Familiarity with:
  • LangChain
  • LlamaIndex
  • Semantic Kernel
  • LangGraph

Cloud & Infrastructure

• Experience with AWS Azure or GCP.
• Docker and containerization.
• Kubernetes (preferred).
• CI/CD pipelines and DevOps practices.

Professional Experience

• 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.

 FS1If they want to do ML should be more than understanding should be the first skill

 FS2This already exclude AI engin. as not part of the curriculum. But agreed they are needed for proper modelling and that is for data scientists

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 companys 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 peoples 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 1s 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.
 
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 at Version 1. We will consider all requests carefully respectfully and confidentially.

Video links:

Work :

No

Employment Type :

Full-time