At a Glance
- Tasks: Design and deploy cutting-edge AI/ML solutions while collaborating with diverse teams.
- Company: Join a forward-thinking tech company based in Edinburgh, embracing hybrid work.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and continuous learning.
- Why this job: Make a real impact by driving innovative AI solutions and mentoring future talent.
- Qualifications: Proficiency in Python and AI frameworks, plus experience with NLP and cloud platforms.
The predicted salary is between 60000 - 80000 £ per year.
Location: Edinburgh, UK
Work mode: Hybrid
Experience: 8+ Years
Key Responsibilities:
- Design, develop, and deploy end-to-end AI/ML solutions from data ingestion to production.
- Build and optimize ML/DL models for NLP, computer vision, recommendation systems, and predictive analytics.
- Implement and maintain MLOps pipelines (CI/CD for ML) for scalable deployment and monitoring.
- Collaborate with cross-functional teams (data scientists, engineers, product managers) to define AI-driven solutions.
- Research and integrate Generative AI (LLMs, diffusion models, transformers) into real-world applications.
- Drive data strategy, including data collection, preprocessing, and feature engineering.
- Optimize models for performance, scalability, and cost-effectiveness in cloud/on-prem environments.
- Mentor junior engineers and contribute to best practices in AI development.
Required Skills & Qualifications:
- Strong proficiency in Python and AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn, Hugging Face).
- Hands-on experience with NLP (LLMs, transformers, embeddings, vector databases).
- Deep understanding of neural networks, reinforcement learning, and generative models.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
- Strong knowledge of SQL/NoSQL databases and data engineering practices.
Soft Skills: Excellent problem-solving, communication, and leadership abilities.
We think you need these skills to ace Remote AI Engineer in Bournemouth
Python
TensorFlow
PyTorch
Scikit-learn
Hugging Face
NLP
LLMs
