Machine Learning Engineer

We are looking for a talented Software Engineer with a strong interest in machine learning to join our Data Discovery team. In this role, you will support the development and continuous improvement of machine learning models and retraining systems.

You will work with large datasets to build, train, and optimize models that drive automation. To deliver the best possible results, you'll be expected to carefully process and prepare data, evaluate different algorithms, and select the most suitable one for each specific use case.

This is a great opportunity for someone passionate about turning data into intelligent solutions and eager to grow in the field of machine learning.

Requirements:

* Bachelor’s in CS, Data Science, AI, or equivalent; proven ML/DL production experience.

* Expert in Python (NumPy, pandas, scikit-learn) and SQL; hands-on with PyTorch or TensorFlow; familiarity with Hugging Face.

* Prompt engineering, RAG, vector search, and model monitoring; fine-tuning is an advantage; strong feature engineering and classical ML.

* Docker, AWS (ECS/Fargate, S3, Lambda, SageMaker); CI/CD (Jenkins); MLflow or Metaflow; Prefect or Step Functions; MySQL and DynamoDB.

* Strong problem-solving skills and data driven decision-making

* Vigilant about data quality, edge cases, and performance bottlenecks

* Open, constructive collaboration with cross functional teams; mentorship of junior engineers when required

* Clear articulation of complex technical concepts to technical and nontechnical stakeholders

* Very good command of English, written and spoken

Key Responsibilities:

* Own the full model lifecycle: problem scoping, data exploration, feature engineering, algorithm selection, training, evaluation, and iterative improvement

* Containerise and serve models via FastAPI based microservices; ensure low latency inference, monitoring, and automated rollback strategies

* Build reproducible pipelines (training, validation, inference) with CI/CD and infrastructure as code practices

* Work closely with data engineers, product managers, and domain experts to align ML solutions with business goals

* Champion clean code, unit/integration testing, code reviews, and documentation for long-term maintainability

* Stay up to date with the latest ML/AI advancements; prototype and benchmark new techniques (e.g., LLM fine-tuning, vector search, on-device ML).

* Diagnose and resolve production issues, optimise performance, and continually improve model robustness

What we offer:

* Interesting and fulfilling projects

* Great working environment in an international company

* Open and friendly working atmosphere

* Work-life balance

* Hybrid working model of 2 days in the office and 3 days from home

* 4 weeks a year you can work from any location that you choose.

About ISI Markets:

ISI is a truly international business with over 700+ employees based across 20 locations. We have a proud 30-year history as the leading provider of data, analysis and research on the world’s fastest growing and highest potential growth markets.

Our culture is purposed around our people, and we pride ourselves on supporting our employees to be the best they can be. Working for us will mean being part of a supportive environment and great team of professionals.

For more information, please check out our website: www.isimarkets.com.