AI Engineer

Company Description Rplus Analytics is a technology consulting and analytics firm founded in 2012, specializing in AI-driven digital transformation for public sector and enterprise clients. The company partners with UK and Indian Government Departments to modernize data management and build cloud-native digital services, with a strong record of delivering scalable contracts. Rplus Analytics supports customers in migrating from on-premise to hybrid and cloud solutions, reducing technical debt and improving data quality to optimize costs and maximize data value. In addition to implementing commercial off-the-shelf solutions, the firm develops bespoke products such as DemandSense and PetaBolt, along with tailored large language models and private ChatGPT-style solutions for government departments. Based in the North of England and led by a female CEO, Rplus Analytics is committed to inclusive growth and actively supports diverse local talent in AI.

Role Description This is a full-time remote role for an AI Engineer. The AI Engineer will design, build, and deploy AI and machine learning solutions that support digital transformation initiatives for public sector and enterprise clients. Day-to-day responsibilities include developing and training models for pattern recognition, neural networks, and NLP tasks; implementing scalable algorithms and APIs; and integrating AI components into cloud-native software systems. The role involves collaborating with data scientists, software engineers, and client stakeholders to refine requirements, evaluate model performance, and ensure robust, maintainable production-grade solutions. The AI Engineer will also contribute to improving internal tools, supporting bespoke products such as DemandSense and PetaBolt, and staying current with emerging AI techniques relevant to government and enterprise use cases.

Qualifications

• Strong foundation in Computer Science, including data structures, algorithms, and software engineering principles.
• Hands-on experience with Neural Networks and Pattern Recognition, including model training, evaluation, and optimization.
• Practical expertise in Natural Language Processing (NLP), such as text classification, information extraction, and language model integration.
• Proficiency in Software Development for AI systems using languages and frameworks such as Python, PyTorch, TensorFlow, or similar tools.
• Experience deploying AI solutions to cloud or hybrid environments (e.g., AWS, Azure, GCP) and working with CI/CD pipelines.
• Ability to work collaboratively in distributed teams, communicate technical concepts clearly, and engage with non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related quantitative field, or equivalent practical experience.
• Background in data engineering, model monitoring, or MLOps, and familiarity with public sector or regulated environments is beneficial.