AI Engineer: End-to-End Data & AI/ML Innovator in Birmingham

AI Engineer: End-to-End Data & AI/ML Innovator in Birmingham

Birmingham Full-Time 65250 - 79750 £ / year (est.) Home office (partial)
ITAC Solutions

At a Glance

  • Tasks: Own data pipelines and develop AI/ML solutions that automate real processes.
  • Company: Join ITAC Solutions, a leader in innovative tech and data analytics.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Collaborative environment with direct interaction with business stakeholders.
  • Why this job: Make a real impact by transforming data into actionable insights with cutting-edge technology.
  • Qualifications: Experience in AI/ML development and strong analytical skills required.

The predicted salary is between 65250 - 79750 £ per year.

ITAC Solutions is seeking an AI Engineer to own data pipeline work, analytics, and AI/ML development.

You will build integrations feeding enterprise data systems into Azure SQL, develop Power BI models for executive dashboards, and prototype AI/ML/workflow solutions that automate real processes.

You will work directly with business stakeholders to scope and implement AI use cases from the ground up.

Responsibilities include building data integrations, maintaining Power BI models, prototyping

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AI Engineer: End-to-End Data & AI/ML Innovator in Birmingham employer: ITAC Solutions

Join a dynamic and supportive team as a Loan Officer Trainee, where your growth is our priority. With a strong promote-from-within culture, you will benefit from comprehensive company-paid training and licensing, alongside a clear path to permanent employment with uncapped earning potential. Enjoy a hybrid work schedule, a collaborative environment, and the opportunity to thrive in a rewarding financial services career.

ITAC Solutions

Contact Details:

ITAC Solutions Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer: End-to-End Data & AI/ML Innovator in Birmingham

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ITAC Solutions!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AI Engineer: End-to-End Data & AI/ML Innovator at ITAC Solutions.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ITAC Solutions.

Apply Directly through Our Website

When you find a suitable opening like AI Engineer: End-to-End Data & AI/ML Innovator at ITAC Solutions, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AI Engineer: End-to-End Data & AI/ML Innovator in Birmingham

Data Pipeline Development
AI/ML Development
Azure SQL
Power BI
Data Integration
Analytics
Prototyping

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at ITAC Solutions, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at ITAC Solutions. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at ITAC Solutions

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at ITAC Solutions!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.