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Graduate AI & Machine Learning Engineer

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Reply

2mo ago

  • Internship
    Full-time
    Summer Internship
  • Data
    Software Engineering
  • London

AI generated summary

  • You need a 2.1 degree in ICT/Computer Science, excellent communication skills, strong knowledge in Python and AI concepts, plus flexibility for travel and a growth mindset.
  • You will automate machine learning pipelines, manage model training infrastructure, monitor model performance, collaborate with multi-disciplinary teams, and communicate insights to clients.

Requirements

  • 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

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

FAQs

What qualifications are required for the Graduate AI & Machine Learning Engineer position?

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.

What programming languages and frameworks should candidates be familiar with?

Candidates should have excellent knowledge of Python, including frameworks such as PyTorch, TensorFlow, and scikit-learn. Initial knowledge of LangChain, RAGAS, and CI/CD is also beneficial.

Will I receive training and support in this role?

Yes, at Data Reply, you will enjoy extensive training opportunities coupled with a detailed learning path to guide you along the way.

Are there opportunities for collaboration with other team members?

Yes, you will work in teams with other technical experts, including Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists.

What type of projects will I work on as a Graduate AI & Machine Learning Engineer?

You will work on projects with some of the world’s leading brands, assisting the team in the design and development of machine learning processes in various client environments.

Is there a focus on diversity and equal opportunities at Data Reply?

Yes, Reply is an Equal Opportunities Employer committed to embracing diversity in the workplace, providing equal employment opportunities regardless of various characteristics.

What are the responsibilities of a Graduate AI & Machine Learning Engineer?

Responsibilities include managing ML pipelines, implementing solutions to monitor model performance, working with data scientists, exploring client data, and communicating findings to clients and stakeholders.

What is the company culture like at Data Reply?

Data Reply offers a diverse and vibrant work environment, where you'll be surrounded by peers who share a passion for data and technology and will participate in activities like Hackathons and Code Challenges.

Are there opportunities for business travel in this role?

Yes, there is flexibility regarding business traveling, and a positive attitude towards working across different client projects is expected.

Is there any support for candidates with disabilities during the recruitment process?

Yes, Reply is committed to making sure that our selection methods are fair to everyone and encourages candidates to inform us of any Reasonable Adjustments they may need during the recruitment process.

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Reply

Reply designs and implements innovative solutions in the areas: Digital Services, Technology and Consulting.

Consulting
Industry
10,001+
Employees
1996
Founded Year

Mission & Purpose

Reply specialises in the design and implementation of solutions based on new communication channels and digital media. As a network of highly specialised companies, Reply defines and develops business models enabled by the new models of big data, cloud computing, digital media and the internet of things. Reply delivers consulting, system integration and digital services to organisations across the telecom and media; industry and services; banking and insurance; and public sectors.