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- 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.
- 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; Master's in Data Science or AI preferred.
- Other info: Flexible travel opportunities and a commitment to diversity and equal opportunities.
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.
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.
With more than 16,000 experts in over 150 companies worldwide, Reply is a company that specialises in Consulting, Systems Integration and Digital Serv…
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Graduate AI & Machine Learning Engineer | London, UK (London) employer: Reply
Contact Detail:
Reply Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Graduate AI & Machine Learning Engineer | London, UK (London)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to AWS cloud solutions. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with online communities or forums related to AI and machine learning. Networking with professionals in the industry can provide insights into the role and may even 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 your understanding of the ML lifecycle and how you would approach real-world problems. Being able to articulate your thought process will set you apart from other candidates.
We think you need these skills to ace Graduate AI & Machine Learning Engineer | London, UK (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant skills and experiences related to AI, machine learning, and data science. 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: In your cover letter, express your passion for AI and machine learning. Mention specific projects or experiences that align with the responsibilities outlined in the job description, and explain how you can contribute to Data Reply's success.
Showcase Communication Skills: Since excellent communication skills are essential for this role, consider including examples in your application that demonstrate your ability to convey complex information clearly. This could be through presentations, reports, or collaborative projects.
Highlight Your Growth Mindset: Mention instances where you've embraced new challenges or learned new technologies. This aligns with the company's emphasis on a growth mindset and will show that you're adaptable and eager to learn in a fast-paced environment.
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 you've worked on that involved these technologies, as well as your understanding of machine learning processes.
✨Communicate Clearly
Since excellent communication skills are essential for this role, practice explaining complex technical concepts in simple terms. Think about how you would describe your past experiences or projects to someone without a technical background.
✨Demonstrate a Growth Mindset
Be ready to share examples of how you've tackled new challenges in the past. Employers love candidates who can turn obstacles into learning opportunities, so think of specific instances where you adapted and grew.
✨Research Data Reply
Familiarise yourself with Data Reply's work, especially their focus on AWS cloud solutions and machine learning pipelines. Understanding their projects and values will help you tailor your responses and show genuine interest in the company.
