At a Glance
- Tasks: Assist in designing and developing machine learning processes for various clients.
- Company: Data Reply are data specialists focused on AI, ML, and advanced analytics solutions.
- Benefits: Enjoy extensive training, hackathons, and a vibrant work environment with peers who share your passion.
- Other info: Flexible travel opportunities and a commitment to diversity in the workplace.
- Why this job: Work on exciting projects with leading brands while growing your skills in a supportive culture.
- Qualifications: A minimum 2.1 Bachelor's degree in ICT/Computer Science is required; a Master's in Data Science is preferred.
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 specialise 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 the design and development of machine learning processes in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help manage the ML lifecycle from data selection and collection, ML model design and creation all the way through to operationalization and monitoring. You will work closely with data scientists and senior MLOps Engineers to understand and implement models into production. At Data Reply, you'll enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way. You'll thrive in our diverse and vibrant work environment and will be surrounded by peers who share your passion for data and technology. As a graduate at Reply, you will get involved in Hackathons, Code Challenges or Labcamps as well as our graduate learning programme. As a Data Reply consultant, you will love the opportunity to work on projects with some of the world's leading brands.
Responsibilities:
- Work closely with the Data Science team to introduce automation and governance in their machine learning pipelines.
- Manage the infrastructure and orchestration pipelines needed to automatically train and bring machine learning models to production.
- Implement solutions to monitor the performance of Machine Learning models in production over time.
- Work in teams with other technical experts, e.g. Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists.
- Interact with domain experts from different industries to understand and tackle challenging problems.
- Explore and understand client data in relation to the problem you're tackling and communicate findings to clients and stakeholders.
About the candidate:
- A minimum 2.1 Bachelor's degree in ICT/Computer Science is required. The ideal candidate will have a Bachelor's degree in ICT/Computer Science and a Master's degree in Data Science or Artificial Intelligence.
- Excellent communications skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences.
- You have an excellent understanding of key concepts in computer science (e.g. databases, software engineering practices, cloud computing - especially AWS) and data science (e.g. machine learning process).
- Excellent knowledge of Python including Pytorch, Tensorflow and SKLearn as well as initial knowledge of LangChain, RAGAS and CI/CD.
- You can demonstrate a growth mindset in terms of picking up new challenges and transforming them in an opportunity to learn.
- Flexibility regarding business travelling and positive attitude towards working across different client projects.
Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
Graduate Engineer - Reply in London employer: Reply
At Data Reply, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration. As a Graduate AI & Machine Learning Engineer, you'll benefit from extensive training opportunities and a structured learning path, allowing you to grow alongside industry experts while working on exciting projects with leading global brands. Our commitment to diversity and equal opportunities ensures that every employee can thrive in a supportive environment, making Data Reply a truly rewarding place to launch your career.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Engineer - Reply in London
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to AWS. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Participate in online hackathons or coding challenges focused on machine learning. This hands-on experience will not only enhance your skills but also demonstrate your commitment and passion for the field to potential employers.
✨Tip Number 3
Network with professionals in the data science and machine learning community. Attend meetups, webinars, or workshops to connect with industry experts who can provide insights and possibly refer you to opportunities at Data Reply.
✨Tip Number 4
Showcase your projects on platforms like GitHub. Having a portfolio of your work, especially projects that involve Python, TensorFlow, or PyTorch, will give you an edge and serve as a practical demonstration of your skills.
We think you need these skills to ace Graduate Engineer - Reply in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the role of a Graduate AI & Machine Learning Engineer. Emphasise your knowledge of Python, machine learning processes, and any projects related to data science.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for data and technology. Mention specific projects or experiences that demonstrate your understanding of machine learning and your ability to work in a team environment.
Highlight Communication Skills:Since excellent communication is key for this role, provide examples in your application that illustrate how you've effectively communicated complex information to diverse audiences in the past.
Showcase Your Growth Mindset:In your application, include instances where you've embraced challenges and turned them into learning opportunities. This will resonate well with Data Reply's emphasis on a growth mindset.
How to prepare for a job interview at Reply
✨Showcase Your Technical Skills
Make sure to highlight your knowledge of Python, especially libraries like Pytorch, Tensorflow, and SKLearn. Be prepared to discuss any projects or coursework where you've applied these skills, as this will demonstrate your practical experience.
✨Communicate Clearly
Since excellent communication skills are crucial for this role, practice explaining complex concepts in a simple way. Think about how you would describe machine learning processes to someone without a technical background.
✨Demonstrate a Growth Mindset
Be ready to share examples of how you've tackled challenges in the past and turned them into learning opportunities. This will show that you're adaptable and eager to grow, which is highly valued at Data Reply.
✨Research the Company and Role
Familiarise yourself with Data Reply's projects and their approach to AI and machine learning. Understanding their work environment and values will help you tailor your responses and show genuine interest during the interview.
