Graduate AI & Machine Learning Engineer - Reply

ZipRecruiter; London; Hybrid; GBP 30,000 - 40,000; Full time

Job summary

A data solutions company in London is seeking a Graduate AI and Machine Learning Engineer to assist in designing and developing machine learning processes. You will work closely with data scientists and MLOps Engineers, manage ML pipelines, and contribute to ML model operationalization. The ideal candidate will have a strong educational background in computer science and data science, as well as knowledge of Python and ML frameworks. This role offers extensive training and involvement with leading brands.

Benefits

Extensive training opportunities

Participation in Hackathons

Networking with industry leaders

Qualifications

• Demonstrate ability to communicate complex information effectively.
• Understand key concepts in software engineering and data science.
• Manage ML lifecycle from data selection to monitoring.

Responsibilities

• Work with Data Science team on ML pipelines automation.
• Manage ML model infrastructure and orchestration.
• Implement monitoring solutions for ML models.

Skills

Excellent communication skills

Understanding of computer science concepts

Knowledge of Python and ML frameworks

Growth mindset

Flexibility for business travel

Education

Minimum 2.1 Bachelor's degree in ICT/Computer Science

Master's degree in Data Science or AI

Tools

Python

Pytorch

TensorFlow

SKLearn

LangChain

RAGAS

CI/CD

Job description

Job Description

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. www.data.reply.com

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 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 , , , , , , , , , medical history, skin , 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.