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- Tasks: Design and deploy AI solutions to enhance business processes in financial services.
- Company: Forward-thinking financial services organisation with a focus on innovation.
- Benefits: Hybrid working, dedicated training budget, and excellent career progression.
- Why this job: Join the forefront of applied AI and make a real impact in business performance.
- Qualifications: Experience with AI/ML tools and strong problem-solving skills.
- Other info: Collaborative environment with opportunities for upskilling and growth.
The predicted salary is between 36000 - 60000 £ per year.
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.
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).
- 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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AI Implementation Engineer employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Implementation Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the financial services and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Showcase your skills! Create a portfolio of your AI projects, especially those involving NLP or predictive modelling. This will give you a tangible way to demonstrate your expertise during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your problem-solving skills. Practice coding challenges and be ready to explain your thought process clearly, especially when discussing AI tools and models.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference in the financial services sector with AI. Your next opportunity could be just a click away!
We think you need these skills to ace AI Implementation Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Implementation Engineer role. Highlight your hands-on experience with AI/ML tools and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about applying AI in financial services and how you can contribute to our mission. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, don’t forget to showcase your problem-solving abilities. Share examples of how you've tackled challenges in previous roles, especially those involving AI or automation. We’re keen to see how you think!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at Adria Solutions
✨Know Your AI Tools
Make sure you brush up on your hands-on experience with AI/ML tools like NLP and predictive modelling. Be ready to discuss specific projects where you've implemented these technologies, as this will show your practical knowledge and expertise.
✨Understand the Business Context
Familiarise yourself with how AI can streamline operations in financial services. Research the company’s current processes and think about how your skills can enhance their business performance. This will help you speak confidently about potential automation and optimisation opportunities.
✨Communicate Clearly
Since you'll need to explain technical concepts to non-technical audiences, practice simplifying complex ideas. Use relatable examples from your past experiences to demonstrate your ability to bridge the gap between tech and business.
✨Show Your Passion for Responsible AI
Be prepared to discuss your views on applying AI responsibly. Share any experiences where you've considered ethical implications in your work, as this aligns with the company's commitment to effective AI usage in business contexts.
