AI Machine Learning Engineer
| Posting date: | 30 May 2025 |
|---|---|
| Salary: | £45,877 to £58,723 per year |
| Hours: | Full time |
| Closing date: | 29 June 2025 |
| Location: | B18 6BA |
| Remote working: | Hybrid - work remotely up to 3 days per week |
| Company: | DEVI TECHNOLOGIES LIMITED |
| Job type: | Permanent |
| Job reference: |
Summary
Build algorithms that can learn patterns from data and improve over time.
Use large datasets to teach systems how to make predictions, and test them to ensure they work correctly.
Clean, organize, and analyze data to prepare it for machine learning tasks.
Write code that uses machine learning to solve real-world problems.
Track how well the models perform and make improvements when needed.
Work closely with data scientists, engineers, and business teams to understand goals and deliver AI-powered solutions.
Keep learning about new machine learning techniques, tools, and best practices.
Strong programming skills in Python or a similar language
Experience with machine learning libraries like Scikit-learn, TensorFlow, or PyTorch
Knowledge of data analysis, statistics, and mathematics
Understanding of algorithms and model evaluation techniques
Familiarity with data processing tools (e.g., Pandas, NumPy)
Ability to work with structured and unstructured data
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Experience with deep learning, natural language processing (NLP), or computer vision
Knowledge of cloud computing platforms (e.g., AWS, Google Cloud, Azure)
Understanding of MLOps practices for deploying and managing machine learning models in production
Strong communication and problem-solving skills
Use large datasets to teach systems how to make predictions, and test them to ensure they work correctly.
Clean, organize, and analyze data to prepare it for machine learning tasks.
Write code that uses machine learning to solve real-world problems.
Track how well the models perform and make improvements when needed.
Work closely with data scientists, engineers, and business teams to understand goals and deliver AI-powered solutions.
Keep learning about new machine learning techniques, tools, and best practices.
Strong programming skills in Python or a similar language
Experience with machine learning libraries like Scikit-learn, TensorFlow, or PyTorch
Knowledge of data analysis, statistics, and mathematics
Understanding of algorithms and model evaluation techniques
Familiarity with data processing tools (e.g., Pandas, NumPy)
Ability to work with structured and unstructured data
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
Experience with deep learning, natural language processing (NLP), or computer vision
Knowledge of cloud computing platforms (e.g., AWS, Google Cloud, Azure)
Understanding of MLOps practices for deploying and managing machine learning models in production
Strong communication and problem-solving skills
Proud member of the Disability Confident employer scheme
Disability Confident
About Disability Confident
A Disability Confident employer will generally offer an interview to any applicant that declares they have a disability and meets the minimum criteria for the job as defined by the employer. It is important to note that in certain recruitment situations such as high-volume, seasonal and high-peak times, the employer may wish to limit the overall numbers of interviews offered to both disabled people and non-disabled people. For more details please go to Disability Confident.