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- 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, vibrant work culture, and opportunities to participate in Hackathons and Code Challenges.
- Why this job: Work with top brands, learn from experts, and thrive in a diverse environment passionate about technology.
- Qualifications: A minimum 2.1 Bachelor's degree in ICT/Computer Science; Master's in Data Science or AI preferred.
- Other info: Flexible travel required; commitment to diversity and equal opportunities in the workplace.
The predicted salary is between 28800 - 48000 £ per year.
The following information provides an overview of the skills, qualities, and qualifications needed for this role.
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 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 specific tools and technologies mentioned in the job description, such as Python, Pytorch, Tensorflow, and AWS. Having hands-on experience or projects showcasing these skills can set you apart during interviews.
✨Tip Number 2
Engage with the data science community by participating in online forums, attending meetups, or joining relevant groups on platforms like LinkedIn. Networking can provide insights into the industry and may even lead to referrals.
✨Tip Number 3
Prepare to discuss your understanding of the machine learning lifecycle and be ready to share examples of how you've tackled similar challenges in past projects or coursework. This will demonstrate your practical knowledge and problem-solving abilities.
✨Tip Number 4
Showcase your growth mindset by discussing any new skills or technologies you've recently learned. Employers value candidates who are eager to learn and adapt, especially in a fast-evolving field like AI and machine learning.
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. Show how your background makes you a great fit for Data Reply.
Showcase Relevant Projects: If you have completed any relevant projects, whether during your studies or independently, include them in your application. Describe your role, the technologies used, and the outcomes achieved to demonstrate your practical experience.
Highlight Soft Skills: Data Reply values excellent communication skills and a growth mindset. In your application, provide examples of how you've effectively communicated complex information or tackled new challenges, showcasing your ability to work collaboratively in diverse teams.
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 the role requires excellent communication skills, practice explaining complex technical concepts in simple terms. This will help you connect with interviewers who may not have a deep 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 aligns well with the company's emphasis on continuous learning and adaptability.
✨Understand the Company and Role
Research Data Reply and their work in AI and machine learning. Familiarise yourself with their projects and values, so you can express why you're excited about the opportunity and how you can contribute to their success.
