Artificial Intelligence Engineer

** 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.