AI Engineer
| Posting date: | 30 May 2025 |
|---|---|
| Salary: | £43,844 to £57,434 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
Create systems that can learn from data and make decisions with minimal human input.
Build and improve programs that can analyze information and predict outcomes.
Work with software developers to implement AI features into applications and platforms.
Use real-world data to train AI systems and evaluate their performance.
Continuously assess and improve AI solutions to ensure accuracy, reliability, and efficiency.
Work with data scientists, software engineers, and business stakeholders to understand goals and deliver solutions.
Keep up with the latest trends, tools, and research in artificial intelligence and machine learning.
Strong knowledge of Python or similar programming languages
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Understanding of statistics, data structures, and algorithms
Ability to work with large datasets and data processing tools (e.g., Pandas, NumPy)
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus
Excellent problem-solving, communication, and teamwork skills
Experience with natural language processing (NLP), computer vision, or deep learning
Background in deploying AI models in production environments
Knowledge of MLOps or automated model deployment and monitoring
Build and improve programs that can analyze information and predict outcomes.
Work with software developers to implement AI features into applications and platforms.
Use real-world data to train AI systems and evaluate their performance.
Continuously assess and improve AI solutions to ensure accuracy, reliability, and efficiency.
Work with data scientists, software engineers, and business stakeholders to understand goals and deliver solutions.
Keep up with the latest trends, tools, and research in artificial intelligence and machine learning.
Strong knowledge of Python or similar programming languages
Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
Understanding of statistics, data structures, and algorithms
Ability to work with large datasets and data processing tools (e.g., Pandas, NumPy)
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus
Excellent problem-solving, communication, and teamwork skills
Experience with natural language processing (NLP), computer vision, or deep learning
Background in deploying AI models in production environments
Knowledge of MLOps or automated model deployment and monitoring
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.