Remote Junior AI Engineer
Adria Solutions ltd
Oxford, United Kingdom
2 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
JuniorJob location
Oxford, United Kingdom
Tech stack
Artificial Intelligence
Amazon Web Services (AWS)
Computer Vision
Azure
Python
Machine Learning
NumPy
Recommender Systems
Cloud Services
TensorFlow
Data Processing
Feature Engineering
PyTorch
Model Validation
GIT
Pandas
Scikit Learn
Information Technology
Machine Learning Operations
Job description
This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact., * Collaborate with senior engineers and data scientists to build ML/AI models.
- Perform data wrangling, cleaning, and feature engineering on varied datasets.
- Help deploy machine learning pipelines and support integration into production.
- Evaluate model performance and suggest improvements.
- Keep up with advancements in AI/ML to contribute fresh ideas to the team.
Requirements
- Degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch.
- Basic understanding of machine learning algorithms and model evaluation techniques.
- Strong analytical and communication skills.
- Comfortable working in a collaborative environment and taking feedback.
Desirable:
- MSc in a relevant discipline.
- Exposure to NLP, computer vision, or recommendation systems.
- Familiarity with cloud services (AWS, GCP, or Azure).
- Experience with Git and modern development practices.
- Interest in deploying models into real-world applications.
Benefits & conditions
- Competitive salary with room for growth.
- Hybrid working model - 2 days a week in their modern Manchester office.
- Mentorship and structured development plan.
- Access to cutting-edge projects and tools.
- 25 days annual leave plus bank holidays, pension scheme, and more.