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AI Engineer

Adria Solutions Ltd

Manchester

Hybrid

GBP 50,000 - 70,000

Full time

Today
Be an early applicant

Job summary

A financial services organisation in Manchester is seeking an AI Engineer to develop and implement AI-driven solutions. The ideal candidate will have hands-on experience with AI tools, familiarity with cloud platforms, and strong problem-solving skills. This role offers hybrid working, a dedicated training budget, and excellent career progression opportunities.

Benefits

Hybrid working
Training and development budget
Career progression opportunities

Qualifications

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

Responsibilities

  • Design, build, and deploy AI-driven solutions for business processes.
  • Collaborate with stakeholders on automation opportunities.
  • Integrate AI models within existing workflows.

Skills

AI/ML tools
Problem-solving
Collaboration

Tools

AWS
Azure
GCP
Job description
AI Engineer Financial Services (Manchester / Hybrid)

My client, a forward-thinking financial services organisation, is seeking an AI 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.

Key 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
  • Hands‑on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation).
  • Familiarity with cloud platforms (AWS, Azure, or GCP).
  • LLM experience
  • 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.

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