Machine Learning Engineer

TalentorAI is partnering with an innovative AI-driven company to find a skilled Machine Learning Engineer based in Southampton. This is an exciting opportunity to work on cutting-edge AI and machine learning technologies, helping to build scalable and impactful solutions.

As a Machine Learning Engineer, you will design, develop, and deploy advanced machine learning models, optimizing performance and integrating AI-driven solutions into production environments. This role offers a chance to work in a collaborative, fast-paced setting where your expertise will directly contribute to the company’s success

• Develop, train, and deploy machine learning models for real-world applications.
   
• Design and maintain scalable ML pipelines for processing large datasets.
   
• Optimize model performance, efficiency, and scalability.
   
• Collaborate with cross-functional teams, including data scientists, engineers, and product managers, to integrate AI solutions into products.
   
• Implement model monitoring, performance tracking, and retraining strategies to ensure long-term efficiency.
   
• Work with cloud-based platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).

• Experience: 2+ years in a Machine Learning Engineering role or similar.
   
• Technical Expertise:
   
• Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
   
• Experience with cloud computing platforms (AWS, GCP, or Azure).
   
• Strong understanding of deep learning, NLP, and computer vision techniques.
   
• Knowledge of MLOps practices, including CI/CD for ML models.
   
• Data Handling: Experience in data preprocessing, feature engineering, and large-scale dataset management.
   
• Version Control: Proficiency with Git for collaborative development.
   
• Problem-Solving: Strong analytical and troubleshooting skills.

• Experience with MLOps tools such as MLflow, Kubeflow, or Airflow.
   
• Familiarity with big data technologies (Apache Spark, Hadoop).
   
• Understanding of ethical AI and model fairness considerations.
   
• Previous experience working in a fast-paced AI startup or tech company.

• Competitive Salary: £60,000 - £70,000 based on experience.
   
• Career Development: Opportunity to work with cutting-edge AI technologies and grow within a fast-moving industry.
   
• Collaborative Culture: Work alongside a talented, cross-functional team to build impactful AI solutions.
   
• Work-Life Balance: Flexible work environment with remote working options.
   
• Impactful Work: Contribute to high-performance AI systems solving real-world challenges.