Are you an Engineer enthusiastic about pushing the boundaries of AI in a fast-paced, high-impact environment?In this AI Engineer role you’ll be required to design and implement advanced AI solutions, integrating them across all facets of operations—from predictive analytics and algorithmic trading to enhancing customer interactions.This is your opportunity to work on transformative AI projects that redefine the future of financial technology. Why Apply to this AI Engineer role? Work on real-world AI innovations that drive efficiency, automation, and performance at scale. Collaborate with an elite team of AI researchers, data scientists, and engineers in a forward-thinking, innovation-led culture. Competitive compensation, career growth, and access to the latest AI technologies to enhance your expertise and professional trajectory. As an AI Engineer, you will lead the development and deployment of sophisticated AI-driven systems that power this financial business.Your expertise will shape high-performance, scalable, and autonomous AI solutions that optimise decision-making, automate complex processes, and deliver industry-leading results. Key responsibilities of this AI Engineer role: Develop and deploy AI-driven models, including deep learning, reinforcement learning, and graph neural networks for predictive analytics and trading. Build NLP solutions for sentiment analysis, document processing, and customer interactions. Design and implement vector search and retrieval systems using advanced databases. Create autonomous AI systems for dynamic decision-making in trading environments. Scale and maintain AI models with MLOps tools for seamless deployment. Engineer high-performance data pipelines for real-time and batch processing. Integrate generative AI models (GPT, DALL-E, GANs) for innovative applications. Utilize transformer models for NLP and computer vision challenges. Ensure AI fairness, transparency, and explainability with cutting-edge interpretability tools. Optimize AI performance through advanced hyperparameter tuning. Deploy scalable AI solutions on cloud and edge platforms. Do you skills stack up to the challenge? Expertise in Python, R, C++, or Java for AI development. Proficiency in TensorFlow, PyTorch, and scikit-learn for deep learning applications. Hands-on experience with vector databases, reinforcement learning frameworks, and real-time data processing. Strong background in MLOps, automation, and AI-driven optimization. This is a great opportunity to shape the future of AI in financial technology. If you’re an Engineer ready to push the limits of AI innovation, apply today. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.