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# AI Engineer

- **Company:** Datatech Analytics
- **Location:** London, UK
- **Salary:** £70,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Software Applications, Big Data, Cloud Computing, Code Review, Collaborative Learning, Continuous Integration, Python (Programming Language), Machine Learning, Software Engineering, Large Language Models, Generative AI, Backend, Containerization, Kubernetes, Machine Learning Operations, Virtual Agents
- **Published:** August 7, 2026
- **Apply:** https://www.totaljobs.com/job/ai-engineer/datatech-analytics-job107810832

## About the Role

* Hands-on experience in machine learning engineering, software engineering, or developing applied AI solutions.
 * Proven experience delivering Generative AI applications using Large Language Models (LLMs) and orchestration frameworks.
 * Strong Python programming skills, with experience building within modern backend and cloud-native environments.
 * Solid understanding of machine learning fundamentals, statistics, and working with complex datasets to support model development, training, fine-tuning, and inference.
 * Experience with CI/CD, containerisation, MLOps/LLMOps workflows, and monitoring AI models in production, including evaluating performance, safety, and cost efficiency.
 * Ability to translate complex business challenges into effective AI-driven solutions with measurable impact.
 * Excellent communication skills, with the ability to explain technical concepts clearly to both technical and non-technical stakeholders.
 * Commitment to developing responsible, transparent, and ethical AI solutions.

## Description

* Design, develop, and deploy scalable AI and machine learning solutions, taking projects from concept through to production with a focus on predictive analytics, optimisation, automation, Generative AI, and agentic AI.
 * Build AI-powered applications using Large Language Models (LLMs), orchestration frameworks, and Python within backend and cloud-based environments.
 * Collaborate with data scientists, engineers, product managers, and business stakeholders to translate complex challenges into impactful AI solutions that deliver measurable value.
 * Develop robust, secure, and scalable AI systems, embedding best practices across CI/CD, containerisation, monitoring, governance, and responsible AI principles.
 * Monitor and optimise deployed models, identifying performance issues, drift, and opportunities for improvement through updates or retraining.
 * Manage and optimise cloud infrastructure for AI workloads, balancing scalability, performance, security, and cost efficiency.
 * Create reusable components, libraries, and templates to accelerate future AI initiatives, while contributing to technical documentation, best practices, and knowledge sharing across the AI community.
 * Support the development of junior engineers through mentoring, code reviews, and collaborative learning.


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