AI Transformation Developer

Escalent; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

Escalent is seeking an AI Developer to design and deploy AI-powered applications within a collaborative team. The successful candidate will leverage their 5-8 years of Python experience along with AI and ML development skills to create scalable, high-performance applications that integrate various AI technologies.

Responsibilities include developing data pipelines, optimizing performance, and utilizing cloud platforms. Ideal candidates will exhibit a robust understanding of API development and database systems, complemented by strong problem-solving abilities.

Qualifications

• 5-8 years of Python development experience with 2+ years in AI/ML.
• Proficient in frameworks like Django, Flask, or FastAPI.
• Experience with unit testing, debugging, and software engineering best practices.

Responsibilities

• Develop and maintain AI-powered applications using Python.
• Integrate AI models and external tools through RESTful APIs.
• Optimize data pipelines for AI applications.

Skills

Python development

AI/ML integration

API development

Cloud platforms (AWS, Azure)

Containerization (Docker, Kubernetes)

Job description

Escalent is an award-winning data analytics and advisory firm that helps clients understand human and market behaviors to navigate disruption. As catalysts of progress for more than 40 years, our strategies guide the world leading brands. We accelerate growth by creating a seamless flow between primary, secondary, syndicated, and internal business data, providing consulting and advisory services from insights through implementation. Based on a profound understanding of what drives human beings and markets, we identify actions that build brands, enhance customer experiences, inspire product innovation and boost business productivity. We listen, learn, question, discover, innovate, and deliver for each other and our clients to make the world work better for people.

Overview

We are looking for an AI Developer to join our dynamic team and contribute to the design, development, and deployment of AI-powered applications and intelligent workflows. The ideal candidate will have a strong background in Python development, experience integrating AI and ML models or APIs into production systems, and the ability to build scalable, secure, and high-performance applications. Experience with data processing, cloud-native architectures, and modern AI development patterns will be highly valued.

Responsibilities

Develop, test, and maintain AI-powered applications and intelligent workflows using Python in a cloud-native environment

Design and implement RESTful APIs, microservices, and backend services to integrate AI models, external tools, and enterprise systems

Build and optimize data pipelines for structured and unstructured data used in AI application workflows

Support the implementation of retrieval-based and prompt-driven AI experiences, including semantic search and contextual response generation

Optimize application and model integration performance for scalability, reliability, latency, and maintainability

Collaborate with cross-functional teams to define, design, and ship AI-enabled features and solutions

Implement best practices for security, testing, monitoring, and CI/CD automation across AI application development

Debug and resolve issues across application logic, model integrations, and system performance to ensure high availability and reliability

Write clean, structured, and well-documented code aligned with the team engineering standards and development best practices

Stay updated with emerging AI technologies, Python frameworks, and industry trends relevant to intelligent application development

Required Skills

5-8 years of Python development experience, with 2+ years of AI/ML development

Strong proficiency in Python and experience with frameworks such as Django, Flask, or FastAPI

Experience with API development, integration, and web services in production environments

Hands‑on experience integrating AI or ML models, LLM APIs, or automation frameworks into applications

Strong knowledge of database systems including SQL, NoSQL, and data storage patterns for AI applications

Familiarity with cloud platforms such as AWS and Azure, and containerization technologies including Docker and Kubernetes

Understanding of asynchronous programming, performance optimization, and scalable backend architectures

Experience with unit testing, debugging, version control, and software engineering best practices

Familiarity with data processing, prompt-driven workflows, semantic search, or retrieval‑based AI patterns is a strong plus

Ability to work effectively in a collaborative team environment with strong problem‑solving and execution skills

Experience working with Agile development methodologies

Familiarity with DevOps and MLOps practices, including CI/CD pipelines, infrastructure automation, and deployment workflows

Exposure to vector databases, embeddings, or orchestration frameworks used in modern AI applications

Strong written and verbal communication skills with the ability to document technical solutions clearly