AI Implementation Engineer

Adria Solutions Ltd; Manchester; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

A forward-thinking financial services organization in Manchester is seeking an AI Implementation Engineer to deliver practical AI solutions that streamline operations and improve performance. The ideal candidate will have experience with AI/ML tools and strong collaboration skills. This role offers hybrid working and excellent career progression opportunities.

Benefits

Dedicated training and development budget

Excellent career progression opportunities

Hybrid working

Qualifications

• Hands-on experience with AI/ML tools such as NLP and predictive modelling.
• Familiarity with cloud platforms including AWS, Azure, or GCP.
• Ability to communicate technical concepts clearly to non-technical audiences.

Responsibilities

• Design, build, and deploy AI-driven solutions for business processes.
• Collaborate with stakeholders to identify automation opportunities.
• Integrate AI tools within existing systems and workflows.

Skills

AI/ML tools experience

Collaboration skills

Problem-solving

Communication skills

Tools

AWS

Azure

GCP

Job description

Overview

AI Implementation Engineer Financial Services (Manchester / Hybrid)

My client, a forward-thinking financial services organisation, is seeking an AI Implementation Engineer to deliver practical AI solutions that streamline operations and improve business performance. This is an exciting opportunity to work at the forefront of applied AI, helping the company embed intelligent automation and data-driven decision-making across its functions.

Responsibilities

• Design, build, and deploy AI-driven solutions to enhance business processes.
• Collaborate with stakeholders to identify automation and optimisation opportunities.
• Integrate AI tools and models within existing systems and workflows.
• Support and upskill internal teams on effective AI adoption and usage.
• Contribute to the development of scalable prototypes and production-ready solutions.

Ideal Candidate / Qualifications

• Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation).
• Familiarity with cloud platforms (AWS, Azure, or GCP).
• Strong problem-solving and collaboration skills.
• Ability to communicate technical concepts clearly to non-technical audiences.
• Passionate about applying AI responsibly and effectively in business contexts.

Benefits

• Hybrid working (Manchester base)
• Dedicated training and development budget
• Excellent career progression opportunities

Interested? Click Apply Now to join an organisation committed to innovation in financial services. AI Implementation Engineer Financial Services (Manchester / Hybrid)