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 employer: Adria Solutions
Our client is an exceptional employer, offering a vibrant work culture in the heart of Manchester that fosters collaboration and innovation. 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. The hybrid working model and competitive benefits package, including generous annual leave and a pension scheme, make this an attractive opportunity for aspiring AI professionals.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Junior AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at local meetups. You never know who might have a lead on that Junior AI Engineer role you’re after.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI concepts and algorithms. Practice explaining your thought process clearly, as communication is key in collaborative environments.
✨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, we love seeing enthusiastic candidates like you!
We think you need these skills to ace Remote Junior AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your skills in Python and any relevant AI/ML projects you've worked on. We want to see how your experience aligns with the role, so don’t be shy about showcasing your academic achievements and any hands-on work you've done!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how you can contribute to our team. We love seeing enthusiasm, so let your personality come through while keeping it professional.
Showcase Your Projects:If you've got any personal or academic projects related to machine learning or AI, make sure to mention them! We’re keen to see your practical experience and how you’ve applied your knowledge in real-world scenarios.
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. Plus, we love seeing candidates who take that extra step!
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.
✨Show Your Passion for AI
Demonstrate your enthusiasm for artificial intelligence by discussing recent advancements in the field. Bring up any personal projects or coursework related to machine learning, and be prepared to share your thoughts on how these innovations can impact real-world applications.
✨Collaborative Mindset
Since the role involves working closely with senior engineers and data scientists, highlight your teamwork skills. Share examples of how you've successfully collaborated on projects, taken feedback, and contributed to a team environment in your previous experiences.
✨Prepare Questions
Have a few thoughtful questions ready to ask at the end of the interview. This could be about the company's approach to AI, the types of projects you'll be working on, or how they support professional development. It shows you're genuinely interested and engaged.
