At a Glance
- Tasks: Build and deploy cutting-edge ML models that drive real-world impact.
- Company: Join a leading AI research firm at the forefront of innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on ethical AI and continuous learning.
- Why this job: Make a difference by working on innovative AI projects that shape the future.
- Qualifications: Experience in Python, TensorFlow, and machine learning techniques.
The predicted salary is between 70000 - 90000 £ per year.
Be at the forefront of innovation by joining a leading AI research firm, building ML models that power products and drive decision-making at scale.
- Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch.
- Work on supervised, unsupervised, and reinforcement learning problems.
- Clean and process large datasets to extract insights and train algorithms.
- Perform feature engineering to improve model accuracy.
- Design ML pipelines and automate model deployment.
- Collaborate with software engineers to integrate models into applications.
- Use MLOps practices for monitoring, retraining, and lifecycle management.
- Conduct A/B tests and measure real-world model performance.
- Stay up to date with the latest research and apply new methods.
- Optimize models for inference speed and memory efficiency.
- Evaluate ethical concerns and ensure fairness and transparency.
- Contribute to technical documentation and academic publications.
- Participate in data governance and model risk committees.
- Present model results and impact to stakeholders.
- Work on innovative use cases like personalization, forecasting, and predictive maintenance.
ML Engineer: Build Scalable AI & Real-World Impact employer: Devitechs
Join a pioneering AI research firm that champions innovation and collaboration, where your work as an ML Engineer will directly contribute to impactful real-world applications. Enjoy a vibrant work culture that prioritises continuous learning and professional growth, alongside competitive benefits and the opportunity to engage in cutting-edge projects. Located in a dynamic tech hub, you'll be part of a community that values ethical practices and fosters creativity, ensuring your contributions are both meaningful and rewarding.
We think you need these skills to ace ML Engineer: Build Scalable AI & Real-World Impact
Machine Learning
Python
TensorFlow
PyTorch
Supervised Learning
Unsupervised Learning
Reinforcement Learning
