AI Engineer

AI Engineer

Manchester Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead the development and integration of AI solutions to enhance business efficiency.
  • Company: Join a forward-thinking financial services company on a transformative journey.
  • Benefits: Enjoy flexible working options and a chance to shape the future of AI in finance.
  • Why this job: Be at the forefront of AI innovation, driving real impact in a dynamic industry.
  • Qualifications: A passion for AI and relevant experience or studies in technology is essential.
  • Other info: This is a unique greenfield opportunity to define AI's role in the company.

The predicted salary is between 43200 - 72000 £ per year.

My client is embarking on a transformative journey and is seeking their first AI Engineer to lead the exploration, development, and integration of artificial intelligence solutions across the business. This is a rare greenfield opportunity to define how AI can drive automation, efficiency, and enhanced customer experiences in a fast-moving financial services environment.

AI Engineer employer: Adria Solutions

As an AI Engineer in Manchester, you will join a forward-thinking company that prioritises innovation and employee development. With a collaborative work culture that encourages creativity and problem-solving, you will have access to cutting-edge resources and training opportunities to enhance your skills. The unique greenfield project allows you to make a significant impact on the business while enjoying a supportive environment that values your contributions.
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Contact Detail:

Adria Solutions Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land AI Engineer

✨Tip Number 1

Familiarise yourself with the latest AI technologies and frameworks relevant to the financial services sector. Being able to discuss specific tools and their applications during your interview will demonstrate your expertise and enthusiasm for the role.

✨Tip Number 2

Showcase any previous projects or experiences where you've successfully implemented AI solutions. Be prepared to explain your thought process, challenges faced, and how you overcame them, as this will highlight your problem-solving skills.

✨Tip Number 3

Network with professionals in the AI and financial services fields. Attend industry events or join online forums to connect with others who can provide insights or even referrals, which can significantly boost your chances of landing the job.

✨Tip Number 4

Research the company’s current use of AI and identify areas for improvement or innovation. Bringing these ideas to the table during your discussions can set you apart as a proactive candidate who is genuinely interested in contributing to their success.

We think you need these skills to ace AI Engineer

Machine Learning
Deep Learning
Natural Language Processing
Data Modelling
Python Programming
TensorFlow
PyTorch
Algorithm Development
Statistical Analysis
Data Mining
Cloud Computing
API Integration
Problem-Solving Skills
Collaboration and Teamwork
Communication Skills

Some tips for your application 🫡

Understand the Role: Read the job description thoroughly to grasp the specific responsibilities and skills required for the AI Engineer position. Tailor your application to highlight your relevant experience in AI development and integration.

Showcase Your Skills: In your CV and cover letter, emphasise your technical skills related to AI, such as programming languages, machine learning frameworks, and any relevant projects you've worked on. Use specific examples to demonstrate your expertise.

Craft a Compelling Cover Letter: Write a personalised cover letter that explains why you are passionate about AI and how you can contribute to the company's goals. Mention your understanding of the financial services sector and how AI can enhance customer experiences.

Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail and professionalism, which is crucial for an AI Engineer role.

How to prepare for a job interview at Adria Solutions

✨Showcase Your Technical Skills

As an AI Engineer, you'll need to demonstrate your technical expertise. Be prepared to discuss your experience with machine learning algorithms, data processing, and any relevant programming languages. Bring examples of past projects or challenges you've tackled that highlight your skills.

✨Understand the Business Context

Since this role involves integrating AI solutions into a financial services environment, it's crucial to understand how AI can drive automation and efficiency in this sector. Research the company’s current operations and think about how AI could enhance their customer experiences.

✨Prepare for Problem-Solving Questions

Expect to face scenario-based questions that assess your problem-solving abilities. Practice articulating your thought process when tackling complex AI-related problems, as this will showcase your analytical skills and creativity.

✨Ask Insightful Questions

At the end of the interview, take the opportunity to ask thoughtful questions about the company's vision for AI integration. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.

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