Direct message the job poster from EC1 Partners
** 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 world's leading AI Agents for the financial services sector.
Responsibilities:
1. Design, develop, and deploy high-quality AI/ML capabilities.
2. Research and evaluate new AI/ML algorithms and technologies.
3. Collaborate with data scientists to prepare and engineer high-quality datasets for model training and evaluation.
4. Develop and maintain robust and scalable machine learning pipelines.
5. Conduct rigorous model validation and performance monitoring.
6. Ensure the ethical and responsible use of AI/ML technologies.
7. Stay abreast of the latest advancements in AI/ML research and industry best practices.
8. Contribute to the development of best practices for AI/ML development within the organization.
Qualifications:
1. 7+ years of professional experience in AI/ML engineering.
2. Proven experience in working with financial data and developing AI/ML solutions for financial services applications.
3. Expertise in Python and common machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch).
4. Strong understanding of data engineering principles and best practices.
5. Experience with cloud platforms such as AWS, Azure, or GCP.
6. Experience with Agile development methodologies.
7. A strong understanding of ethical considerations in AI/ML.
Preferred Qualifications:
1. Experience with deep learning and natural language processing.
2. Experience with MLOps and DevOps practices.
3. Experience with financial regulations and compliance requirements.
4. Degree in Computer Science, Data Science, or a related field.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Information Technology
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