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Artificial Intelligence Engineer

EC1 Partners
London
4 days ago
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This role does not offer Visa Sponsorship, you must hold full right to work in the UK to apply Job Title: AI Engineer Location: UK based My client builds AI Agents for the Financial Services sector. Their AI Agents are fully configurable to the mission critical needs of front line teams. The agents help with a range of activities from analysing large sets of financial and non-financial data to creating custom content. My client multiplies the productivity of teams which drives accelerated growth, whilst maintaining lower costs. My client is seeking a highly skilled and experienced AI Engineer to join their growing team. In this role, you will play a crucial part in developing and deploying cutting-edge AI/ML solutions within the financial services domain. You will work closely with the Founders and team to build the worlds leading AI Agents for the financial services sector. Responsibilities: ● Design, develop, and deploy high-quality AI/ML capabilities. ● Research and evaluate new AI/ML algorithms and technologies. ● Collaborate with data scientists to prepare and engineer high-quality datasets for model training and evaluation. ● Develop and maintain robust and scalable machine learning pipelines. ● Conduct rigorous model validation and performance monitoring. ● Ensure the ethical and responsible use of AI/ML technologies. ● Stay abreast of the latest advancements in AI/ML research and industry best practices. ● Contribute to the development of best practices for AI/ML development within the organization. Qualifications: ● 7 years of professional experience in AI/ML engineering. ● Proven experience in working with financial data and developing AI/ML solutions for financial services applications. ● Expertise in Python and common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). ● Strong understanding of data engineering principles and best practices. ● Excellent collaboration skills. ● Experience with cloud platforms such as AWS, Azure, or GCP. ● Experience with Agile development methodologies. ● A strong understanding of ethical considerations in AI/ML. Preferred Qualifications: ○ Experience with deep learning and natural language processing. ○ Experience with MLOps and DevOps practices. ○ Experience with financial regulations and compliance requirements. ○ Degree in Computer Science, Data Science, or a related field.

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National AI Awards 2025

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