At a Glance
- Tasks: Collaborate on AI projects, design and deploy machine learning models.
- Company: Rapidly growing tech company in Manchester focused on AI solutions.
- Benefits: Competitive salary, hybrid work model, mentorship, and 25 days leave.
- Other info: Great career growth opportunities and access to innovative projects.
- 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 Bournemouth 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, you will benefit from a structured development plan, mentorship, and access to cutting-edge projects that make a real impact. Enjoy a competitive salary, a hybrid working model, and generous annual leave, making this an excellent place for early-career AI enthusiasts to thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Junior AI Engineer in Bournemouth
✨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 Bournemouth
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 express your passion for AI and how you can contribute to our team. Mention specific projects or experiences that relate to the job description, and let us know why you're excited about this opportunity.
Showcase Your Collaborative Spirit:Since we value teamwork, make sure to highlight any collaborative projects you've been part of. Whether it's group assignments at uni or hackathons, we want to see how you work with others and take feedback on board.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
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 technical prowess and enthusiasm for AI.
✨Showcase Your Projects
Prepare to talk about any relevant projects you've worked on, especially those involving machine learning models. Whether it's a university project or a personal endeavour, being able to explain your thought process and the impact of your work can really impress the interviewers.
✨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 not only shows your interest but also helps you gauge if the company is the right fit for you.
✨Embrace 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 will demonstrate your ability to thrive in a collaborative environment.
