Job Description
** 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:
● 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.