At a Glance
- Tasks: Collaborate on AI projects and develop scalable machine learning applications.
- Company: Rapidly growing tech company in Manchester focused on AI solutions.
- Benefits: Competitive salary, hybrid work model, mentorship, and access to cutting-edge tools.
- Other info: Great opportunity for career growth and learning in a collaborative environment.
- Why this job: Join a dynamic team and make an immediate impact in the AI field.
- Qualifications: Degree in relevant field and proficiency in Python with 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.
Remote Junior AI Engineer in Chelmsford employer: Adria Solutions
Join a dynamic and innovative tech-driven company in the heart of Manchester, where you'll have the opportunity to work alongside experienced engineers and data scientists in a collaborative environment. With a strong focus on employee growth, mentorship, and access to cutting-edge projects, this role offers a competitive salary and a hybrid working model that promotes work-life balance. Embrace the chance to contribute to impactful AI solutions while developing your skills in a supportive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Junior AI Engineer in Chelmsford
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Adria Solutions when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Adria Solutions.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Adria Solutions.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Adria Solutions’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Remote Junior AI Engineer in Chelmsford
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Adria Solutions, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Adria Solutions aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Adria Solutions
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
