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- Tasks: Support the development of scalable AI applications and collaborate with experienced engineers.
- Company: Join a fast-growing tech company in Manchester focused on innovative AI solutions.
- Benefits: Enjoy a competitive salary, hybrid work model, mentorship, and 25 days annual leave.
- Why this job: Work on impactful projects in a collaborative environment with cutting-edge technology.
- Qualifications: Degree in Computer Science or related field; proficiency in Python and machine learning basics.
- Other info: Ideal for recent graduates or early-career AI enthusiasts looking to grow.
The predicted salary is between 28800 - 43200 £ per year.
Junior AI Engineer
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!
Junior AI Engineer
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Junior AI Engineer employer: Adria Solutions Ltd.
Contact Detail:
Adria Solutions Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior AI Engineer
✨Tip Number 1
Familiarise yourself with the latest advancements in AI and machine learning. Follow relevant blogs, podcasts, and research papers to stay updated, as this will not only enhance your knowledge but also show your genuine interest during interviews.
✨Tip Number 2
Engage with the AI community by attending meetups, webinars, or conferences. Networking with professionals in the field can provide valuable insights and may even lead to referrals for job openings at companies like ours.
✨Tip Number 3
Work on personal projects that showcase your skills in Python and machine learning. Having a portfolio of projects, especially those that involve real-world applications, can significantly boost your chances of standing out to potential employers.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and understanding common machine learning algorithms. Being able to discuss your thought process and problem-solving approach will demonstrate your analytical skills effectively.
We think you need these skills to ace Junior AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to AI and machine learning. Emphasise your proficiency in Python and any projects or coursework that demonstrate your understanding of ML algorithms.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your eagerness to learn. Mention specific projects or technologies you are excited about, and explain how you can contribute to the company's goals.
Showcase Relevant Projects: If you have worked on any AI or machine learning projects, include them in your application. Describe your role, the technologies used, and the outcomes. This will help demonstrate your practical experience.
Highlight Soft Skills: In addition to technical skills, emphasise your analytical and communication abilities. The role requires collaboration with senior engineers and data scientists, so showcasing your teamwork and feedback receptiveness is crucial.
How to prepare for a job interview at Adria Solutions Ltd.
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and relevant libraries like NumPy, Pandas, and TensorFlow. Bring examples of projects or coursework where you've applied these skills, as this will demonstrate your capability to contribute effectively.
✨Understand the Company’s AI Focus
Research the company’s recent projects and their approach to AI. Being able to discuss how their work aligns with your interests and how you can contribute will show your enthusiasm and commitment to the role.
✨Prepare for Practical Assessments
You may be asked to solve a coding problem or discuss a machine learning model during the interview. Brush up on your understanding of algorithms and be ready to explain your thought process clearly.
✨Emphasise Collaboration and Feedback
Since the role involves working closely with senior engineers and data scientists, highlight your ability to collaborate and take feedback. Share examples from your past experiences where teamwork led to successful outcomes.
