At a Glance
- Tasks: Collaborate on AI projects, build ML models, and integrate them into real-world systems.
- Company: Rapidly growing tech company in Manchester focused on AI solutions.
- Benefits: Competitive salary, hybrid work model, mentorship, and 25 days annual leave.
- Other info: Great opportunity for recent graduates to grow in a supportive environment.
- Why this job: Join a dynamic team and make an impact with cutting-edge AI technology.
- Qualifications: Degree in relevant field and proficiency in Python and ML libraries.
The predicted salary is between 28000 - 35000 £ per year.
Our client is a rapidly growing tech-driven company based in central Manchester, leveraging artificial intelligence to build smarter, more efficient solutions across their digital platforms. With recent investment and a growing data team, they're looking to bring on a Junior AI Engineer to support the development and deployment of scalable AI applications. This is a fantastic opportunity for a recent graduate or early-career AI enthusiast to work in a collaborative environment with experienced engineers and data scientists. The successful candidate will assist in designing, training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact.
Key Responsibilities
- Collaborate with senior engineers and data scientists to build ML/AI models.
- Perform data wrangling, cleaning, and feature engineering on varied datasets.
- Help deploy machine learning pipelines and support integration into production.
- Evaluate model performance and suggest improvements.
- Keep up with advancements in AI/ML to contribute fresh ideas to the team.
Skills and Experience:
- Degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
- Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow or PyTorch.
- Basic understanding of machine learning algorithms and model evaluation techniques.
- Strong analytical and communication skills.
- Comfortable working in a collaborative environment and taking feedback.
Desirable:
- MSc in a relevant discipline.
- Exposure to NLP, computer vision, or recommendation systems.
- Familiarity with cloud services (AWS, GCP, or Azure).
- Experience with Git and modern development practices.
- Interest in deploying models into real-world applications.
What’s on Offer
- Competitive salary with room for growth.
- Hybrid working model – 2 days a week in their modern Manchester office.
- Mentorship and structured development plan.
- Access to cutting-edge projects and tools.
- 25 days annual leave plus bank holidays, pension scheme, and more.
Interested? Please Click Apply Now!
Remote Junior AI Engineer in Belfast employer: Adria Solutions
Our client is an exceptional employer, offering a dynamic and supportive work culture that fosters collaboration and innovation in the heart of Manchester. With a strong focus on employee growth, they provide mentorship and structured development plans, alongside access to cutting-edge projects that make a real impact in the AI field. The hybrid working model and competitive benefits package, including generous annual leave and a pension scheme, make this an attractive opportunity for aspiring AI engineers looking to kickstart their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Junior AI Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI field on LinkedIn or attend local tech meetups. Building connections can lead to job opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and ML questions. Practice explaining your thought process clearly, as communication is key in collaborative environments like the one we’re offering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace Remote Junior AI Engineer in Belfast
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your proficiency in Python and any relevant projects you've worked on, especially those involving machine learning or AI.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for the role. Share specific examples of your work or studies that align with the responsibilities listed.
Showcase Your Projects:If you've worked on any AI or machine learning projects, whether in school or on your own, make sure to mention them. We love seeing practical applications of your skills, so include links to your GitHub or any demos if possible!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status there too!
How to prepare for a job interview at Adria Solutions
✨Know Your Tech
Make sure you brush up on your Python skills and get familiar with libraries like NumPy, Pandas, and TensorFlow. Be ready to discuss how you've used these tools in your projects or studies, as this will show your practical understanding of the tech stack.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving machine learning models. Highlight your role in data wrangling, model training, or deployment, and be ready to explain the impact of your work.
✨Ask Smart Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives, team dynamics, or the technologies they use. This shows your genuine interest and helps you assess if it's the right fit for you.
✨Emphasise Collaboration
Since the role involves working closely with senior engineers and data scientists, highlight your teamwork experiences. Share examples of how you've successfully collaborated in the past and how you handle feedback, as this is crucial in a collaborative environment.
