At a Glance
- Tasks: Assist in designing and developing machine learning processes for diverse client environments.
- Company: Join Data Reply, a leading data specialist in AI and Machine Learning solutions.
- Benefits: Extensive training, vibrant work culture, and opportunities to work with top global brands.
- Other info: Engage in Hackathons and Code Challenges while enjoying excellent career growth opportunities.
- Why this job: Make an impact in the exciting field of AI while collaborating with passionate peers.
- Qualifications: 2.1 Bachelor's degree in ICT/Computer Science; knowledge of Python and machine learning concepts.
The predicted salary is between 60000 - 80000 £ per year.
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.
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.
Graduate AI & Machine Learning Engineer (5728) 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, engaging in hands-on projects with leading brands while working alongside passionate peers. Our commitment to employee growth and diversity ensures that you will thrive in an environment that values your contributions and encourages continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI & Machine Learning Engineer (5728)
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Reply when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Reply.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Reply.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Reply’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Graduate AI & Machine Learning Engineer (5728)
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Reply, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Reply aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Reply
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
