AI Engineer
bigspark
UK
2 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Computer Vision
Automation of Tests
Microsoft Azure
Big Data
Computer Programming
Continuous Delivery
Continuous Integration
Data Cleansing
Distributed Computing Environment
Apache Hadoop
+18 more
Machine Learning
Natural Language Processing
Tensorflow
Software Construction
Software Engineering
Reinforcement Learning
Google Cloud
Cloud Platform System
Feature Engineering
Pytorch
Apache Spark
Deep Learning
Model Validation
Scikit Learn
Information Technology
Machine Learning Operations
Software Version Control
Unsupervised Learning
Job description
In your hands-on role of AI Engineer you will
- Adhere and contribute to our delivery principles
- Develop scalable and efficient AI pipelines for training, testing and deploying machine learning models in a production environment.
- Optimize performance and accuracy of AI models through experimentation and fine-tuning.
- Thorough understanding of the Machine Learning Operation (MLOps) and model lifecycle
- Stay up to date with the latest advancements in AI and machine learning technologies and incorporate into our solutions as appropriate.
- Interact with stakeholders and program management to understand client requirements
- Solution Design - Using predefined architectural components to agree an acceptable design
- Deliver software development for clients, whilst collaborating with team members at various levels across the globe
Requirements
- Degree in Computer Science, Machine Learning, or a related field.
- Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
- Knowledge of software engineering best practices, including version control, automated testing, and continuous integration/continuous deployment (CI/CD).
- Experience with natural language processing (NLP), computer vision, or other specialized domains within AI/ML.
- Proven experience in developing AI/ML solutions, preferably in a commercial setting.
- Strong proficiency in Python programming and popular libraries/frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Solid understanding of machine learning concepts, algorithms, and techniques, including supervised/unsupervised learning, deep learning, reinforcement learning, etc.
- Hands-on experience with data preprocessing, feature engineering, and model evaluation/validation.
- Familiarity with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and experience deploying AI models at scale.
- Excellent problem-solving skills, attention to detail, and ability to work independently or collaboratively in a team environment.
- Effective communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Benefits & conditions
Pulled from the full job description
- Financial planning services
- Annual leave
- Employee discount
- Employee assistance programme
- Company pension, Competitive salary Generous Annual Leave Discretionary Annual Bonus Pension Scheme Life Assurance Private Medical Cover (inc family) Permanent Health Insurance Cover / Income Protection Employee Assistance Programme A Perkbox account Access to an Independent Financial Advisor
Laptop Remote, work from home position
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