Senior Machine Learning Engineer
La Fosse
9 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 105KJob location
Tech stack
Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Cloud Computing
Image Analysis
Continuous Integration
Github
Python
Machine Learning
Named Entity Recognition
NumPy
Object-Oriented Software Development
Recommender Systems
Unstructured Data
PyTorch
Large Language Models
Spring-boot
Gitlab
Pandas
Scikit Learn
Kubernetes
HuggingFace
Performance Monitor
Machine Learning Operations
GPT
Serverless Computing
Docker
Job description
As part of the AI-Engine team, you will:
- Build ML/NLP pipelines using LLMs and transformer-based architectures.
- Analyse unstructured data, including medical text and images.
- Develop predictive models for underwriting decisions.
- Implement automated ML workflows, CI/CD, and MLOps practices.
- Architect APIs for model integration and external system interaction.
- Monitor performance to ensure scalable, reliable production deployments.
Requirements
Essential:
- Experience with LLMs (GPT, BERT) and NLP tasks.
- Fine-tuning pre-trained models for domain-specific applications.
- Strong Python skills (OOP, PyTorch, Hugging Face, scikit-learn, Pandas, NumPy).
- Deploying models with Docker, Kubernetes, or serverless platforms.
- Familiarity with CI/CD, MLOps, and cloud platforms (AWS preferred).
Desirable:
- Named entity recognition, recommendation systems, or image analysis.
- Knowledge of Java (Spring Boot) or GitLab/GitHub CI/CD.
