At a Glance
- Tasks: Join a team to design and deploy AI applications that make a real impact.
- Company: A fast-growing tech company in Manchester, focused on innovative AI solutions.
- Benefits: Enjoy hybrid working, competitive salary, mentorship, and 25 days annual leave.
- Why this job: Perfect for recent grads eager to learn and work on cutting-edge AI projects.
- Qualifications: Degree in Computer Science or related field; understanding of machine learning is essential.
- Other info: Opportunity to work with experienced engineers and contribute fresh ideas.
The predicted salary is between 36000 - 60000 Β£ per year.
Job Description
AI Engineer β Manchester β Circa Β£50K
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 organisation, they're looking to bring on a 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 leadership team 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.
- 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.
Whatβs on Offer
- Competitive salary with room for growth.
- Hybrid working model β 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!
AI Engineer β Manchester
Artificial Intelligence employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Artificial Intelligence
β¨Tip Number 1
Network with professionals in the AI field by attending local meetups or tech events in Manchester. Engaging with others in the industry can lead to valuable connections and insights about the company and its culture.
β¨Tip Number 2
Familiarise yourself with the latest advancements in AI and machine learning. Being able to discuss recent trends or breakthroughs during your interview will demonstrate your passion and commitment to the field.
β¨Tip Number 3
Showcase any personal projects or contributions to open-source AI initiatives. This hands-on experience can set you apart from other candidates and highlight your practical skills in deploying machine learning models.
β¨Tip Number 4
Prepare thoughtful questions about the company's AI projects and future goals. This not only shows your interest but also helps you assess if the role aligns with your career aspirations.
We think you need these skills to ace Artificial Intelligence
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to AI and machine learning. Emphasise any projects or coursework that demonstrate your understanding of algorithms and model evaluation techniques.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and your eagerness to contribute to the company's projects. Mention specific technologies or methodologies you are familiar with, and how they align with the job requirements.
Showcase Relevant Projects: If you have worked on any AI-related projects, include them in your application. Describe your role, the technologies used, and the impact of the project. This will help demonstrate your practical experience and problem-solving skills.
Highlight Collaborative Experience: Since the role involves working in a collaborative environment, mention any team projects or experiences where you successfully collaborated with others. This could be from university, internships, or personal projects.
How to prepare for a job interview at Adria Solutions
β¨Showcase Your Technical Skills
Be prepared to discuss your understanding of machine learning algorithms and model evaluation techniques. Bring examples of projects or coursework where you've applied these skills, as this will demonstrate your practical knowledge and enthusiasm for AI.
β¨Demonstrate Collaboration
Since the role involves working closely with a team, highlight any experiences where you've successfully collaborated on projects. Discuss how you handle feedback and contribute to a team environment, as this is crucial for success in their collaborative culture.
β¨Stay Updated on AI Trends
Research recent advancements in AI and machine learning before your interview. Being able to discuss current trends or breakthroughs shows your passion for the field and your commitment to continuous learning, which is highly valued by tech-driven companies.
β¨Prepare Questions for Them
Have thoughtful questions ready about the company's projects, team dynamics, or future goals. This not only shows your interest in the position but also helps you assess if the company aligns with your career aspirations.