At a Glance
- Tasks: Assist in designing and developing machine learning processes for various clients.
- Company: Data Reply is a leading data specialist offering innovative AI and ML solutions.
- Benefits: Enjoy extensive training, hackathons, and a vibrant work environment with peers who share your passion.
- Why this job: Work on exciting projects with top brands while growing your skills in a supportive culture.
- Qualifications: Bachelor's in ICT/Computer Science required; Master's in Data Science or AI preferred.
- Other info: Flexible travel opportunities and a commitment to diversity in the workplace.
The predicted salary is between 28800 - 48000 £ per year.
Graduate AI and Machine Learning Engineer 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. 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. 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 Data Engineers, Data scientists, MLOps Engineers, Data Visualization Specialists Explore and understand client data in relation to the problem you\’re tackling and communicate findings to clients and stakeholders 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 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. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need. With more than 16,000 experts in over 150 companies worldwide, Reply is a company that specialises in Consulting, Systems Integration and Digital Serv…
Graduate AI ML Engineer employer: Reply
Contact Detail:
Reply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI ML Engineer
✨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 during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with online communities or forums related to AI and ML, such as GitHub or Stack Overflow. Networking with professionals in these spaces can provide insights and potentially lead to referrals.
✨Tip Number 3
Participate in hackathons or coding challenges that focus on machine learning. This hands-on experience will not only enhance your skills but also give you concrete examples to discuss during interviews.
✨Tip Number 4
Prepare to discuss specific projects where you've applied Python and ML frameworks like TensorFlow or PyTorch. Being able to articulate your practical experience will set you apart from other candidates.
We think you need these skills to ace Graduate AI ML 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 knowledge of Python, AWS, and any projects you've worked on that demonstrate your understanding of machine learning processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and technology. Mention specific projects or experiences that align with the role at Data Reply, and express your enthusiasm for contributing to their team.
Showcase Relevant Projects: If you have completed any projects, internships, or coursework related to AI and ML, be sure to include them in your application. Describe your role, the technologies used, and the outcomes achieved to demonstrate your practical experience.
Highlight Your Growth Mindset: In your application, mention instances where you've embraced challenges and learned new skills. This aligns with the company's value of a growth mindset and shows your readiness to adapt and grow in the role.
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 practical examples can really impress the interviewers.
✨Understand the ML Lifecycle
Familiarise yourself with the entire machine learning lifecycle, from data selection to model operationalisation. Being able to articulate this process will demonstrate your understanding of the role and how you can contribute to their projects.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, particularly in relation to client data analysis. Think about past experiences where you've tackled complex problems and be ready to explain your thought process.
✨Emphasise Your Growth Mindset
Data Reply values a growth mindset, so be sure to convey your enthusiasm for learning and adapting to new challenges. Share examples of how you've embraced new technologies or methodologies in your studies or previous roles.