Artificial Intelligence Engineer

Job Title: AI Engineer (Generative AI & Machine Learning Specialist) Location: Manchester or London Employment Type: Full-time Experience Level: Mid to Senior About the Role As an AI Engineer , you will design, build, and deploy AI and machine learning solutions using generative models and advanced ML models and techniques. You will leverage Databricks to create scalable and efficient workflows while collaborating with clients and internal teams to deliver high-value solutions. This role combines technical expertise with creativity to develop next-generation AI applications for diverse industries. Key Responsibilities Generative AI Development: Design and fine-tune generative models (e.g., Llama 2, MPT, GPT, DALL-E, Stable Diffusion) for applications such as natural language processing, content creation, or synthetic data generation. Machine Learning: Build and deploy advanced machine learning models for tasks like classification, regression, recommendation systems, and anomaly detection. Platform Integration: Develop scalable ML pipelines on Databricks, utilizing tools like MLflow, Delta Lake, and Spark for end-to-end workflows. Solution Architecture: Collaborate with architects and engineers to design AI systems that address specific business needs and integrate seamlessly with existing infrastructures. Model Optimization: Optimize AI and ML models for performance, scalability, and cost efficiency, including distributed training on Databricks. Cloud Deployment: Leverage cloud services (Azure, AWS, GCP) to deploy, monitor, and manage AI and ML models in production. Innovation & Prototyping: Develop prototypes and proof-of-concept solutions using generative AI and ML to demonstrate value to clients. Required: 4+ years of experience in AI and machine learning development. Hands-on experience with Databricks and cloud-based AI/ML solutions (ML Flow, Mosaic AI). Proficiency in Python and machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn. Experience with generative models (e.g., LLM’s, Multi-Modal Models, VAEs, GANs) and their deployment. Strong knowledge of Databricks tools such as MLflow, Mosaic AI, Delta Lake, and Apache Spark. Deep understanding of machine learning algorithms, model training, and evaluation techniques. Experience with Azure (preferred), AWS, or GCP for model deployment and infrastructure management. Strong analytical and problem-solving skills. Excellent communication abilities for both technical and non-technical audiences. Experience with CI/CD for machine learning workflows and automated model deployment. Certifications in Databricks or cloud platforms (e.g., Azure AI Engineer Associate). Knowledge of real-time data processing and streaming applications. Familiarity with visualization tools like Power BI or Tableau. Experience applying AI solutions in industries such as healthcare, finance, or retail. Why Join Us? Impactful Projects: Work on innovative AI and ML solutions that drive measurable business outcomes for global clients. Growth Opportunities: Advance your expertise in generative AI, machine learning, and Databricks technologies. Innovative Team: Join a collaborative team of AI experts who are passionate about solving complex challenges. Competitive Benefits: Enjoy a competitive salary, comprehensive benefits, and flexible working arrangements.