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- Tasks: Design and develop machine learning processes for various clients.
- Company: Data Reply are data specialists focused on AI and advanced analytics solutions.
- Benefits: Enjoy extensive training, hackathons, and valuable project experience with leading brands.
- Why this job: Join a dynamic team, tackle complex problems, and grow your skills in a supportive environment.
- Qualifications: A minimum 2.1 Bachelor’s degree in ICT/Computer Science; Master’s in Data Science or AI is a plus.
- Other info: We are an Equal Opportunities Employer, welcoming applicants from all backgrounds.
The predicted salary is between 28800 - 48000 £ per year.
About Data Reply:
DATA REPLY are data specialists, offering data platforms, BI, advanced analytics, and AI/Machine Learning (ML) solutions to drive business success. We specialize in developing, deploying, and operating production data solutions on AWS cloud.
Role overview:
As a Graduate AI & Machine Learning Engineer, you'll assist our team in designing and developing machine learning processes across various client environments. Your responsibilities include analyzing client requirements, managing the ML lifecycle from data collection and model design to deployment and monitoring, and collaborating with data scientists and MLOps engineers to implement models into production. Data Reply offers extensive training and a clear learning path, with opportunities to participate in hackathons, code challenges, and lab camps. Working with leading brands provides valuable project experience.
Responsibilities:
- Collaborate with the Data Science team to automate and govern machine learning pipelines.
- Manage infrastructure and orchestration pipelines for training and deploying models.
- Implement solutions to monitor model performance in production.
- Work with cross-disciplinary teams including Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists.
- Engage with domain experts to understand and address complex problems.
- Analyze and communicate client data insights to stakeholders.
About the candidate:
- Minimum 2.1 Bachelor’s degree in ICT/Computer Science; a Master’s in Data Science or AI is a plus.
- Strong communication skills to articulate complex concepts effectively.
- Solid understanding of computer science fundamentals (databases, software engineering, cloud computing especially AWS) and data science (machine learning processes).
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, scikit-learn, with some knowledge of LangChain, RAGAS, and CI/CD.
- Growth mindset and eagerness to learn new challenges.
- Willingness to travel and adapt to different client projects.
Additional information:
Reply is an Equal Opportunities Employer committed to diversity and fair recruitment practices. We welcome applicants from all backgrounds and encourage you to specify any reasonable adjustments needed during the recruitment process.
Graduate AI & Machine Learning Engineer employer: Reply
Contact Detail:
Reply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI & Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning. Follow industry leaders on social media, read relevant blogs, and participate in online forums to stay updated. This knowledge will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Engage in hands-on projects that showcase your skills in Python and machine learning frameworks like TensorFlow or PyTorch. Create a portfolio of your work on platforms like GitHub, as this can significantly enhance your profile and provide concrete examples of your capabilities.
✨Tip Number 3
Network with professionals in the AI and machine learning space. Attend meetups, webinars, or conferences to connect with potential colleagues and mentors. Building relationships can lead to valuable insights and even job referrals.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions related to machine learning. Websites like LeetCode or HackerRank can be great resources. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace Graduate AI & Machine Learning 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 frameworks like PyTorch or TensorFlow, as well as your understanding of cloud computing, particularly AWS.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and Machine Learning. Mention specific projects or experiences that demonstrate your ability to collaborate with cross-disciplinary teams and your eagerness to learn and grow in this field.
Showcase Relevant Projects: If you have worked on any relevant projects, whether academic or personal, include them in your application. Describe your role, the technologies used, and the outcomes achieved to illustrate your hands-on experience.
Prepare for Technical Questions: Anticipate technical questions related to machine learning processes and cloud computing. Brush up on your knowledge of databases, software engineering principles, and be ready to discuss how you would approach real-world problems in AI.
How to prepare for a job interview at Reply
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python and relevant frameworks like PyTorch and TensorFlow. Bring examples of projects or coursework where you've applied these skills, as this will demonstrate your hands-on experience.
✨Understand the ML Lifecycle
Familiarise yourself with the entire machine learning lifecycle, from data collection to model deployment. Be ready to explain how you would manage these processes and any challenges you might face in a real-world scenario.
✨Communicate Clearly
Strong communication skills are essential for this role. Practice articulating complex concepts in simple terms, as you'll need to convey insights to stakeholders who may not have a technical background.
✨Demonstrate a Growth Mindset
Express your eagerness to learn and adapt to new challenges. Share examples of how you've tackled difficult problems in the past and what you've learned from those experiences, as this aligns with the company's focus on training and development.
