GRADUATE AI & MACHINE LEARNING ENGINEER

Successfactors; Greater London; Hybrid; GBP 30,000 - 42,000; Full time

Job summary

Data Reply in London invites applications for a Graduate AI & Machine Learning Engineer. You will assist our Data Science team in designing ML pipelines, data collection, model development, and production monitoring, working with data scientists and MLOps engineers.

The role offers extensive training, hackathons, and a structured graduate learning path, with opportunities to work on projects for leading brands. Summer/Autumn 2027 intake.

Qualifications

• Bachelor's degree in ICT/Computer Science required, Master preferred.
• Strong programming in Python with ML frameworks.
• Knowledge of ML lifecycle and productionisation concepts.

Responsibilities

• Assist in designing and developing ML pipelines.
• Support data collection, model design, and production monitoring.
• Collaborate with data scientists and MLOps engineers on projects.
• Engage in hackathons, code challenges, and the graduate learning path.

Skills

Python

PyTorch

TensorFlow

SKLearn

LangChain

RAG

CI/CD

AWS

Education

Bachelor's degree ICT/CS

Master's in Data Science or AI

Tools

RAGAS

Job description

Requisition ID11456-Posted10/02/2026- Years of Experience (2) -Technology- Where (1) -Job

Graduate AI and Machine LearningEngineer

Replyspecialisesin designing and implementing solutions based on new communication channels and digital media. Structured as a network of highlyspecialisedcompanies, Reply supports leading European industrial groups in sectors such as Telco & Media, Industry and Services, Banking and Insurance, and Public Administration, helping define and develop business models enabled by new paradigms such as AI, Cloud Computing, Digital Media, and the Internet of Things.Reply’sservices include Consulting, System Integration, and Digital Services.

Role overview

As a Graduate AI & Machine Learning Engineer, you'll assist our team inthe design and development of machine learningprocesses in a variety of client environments. You will support the analysis of client requirements and help generate suitable recommendations. You will help managethe ML lifecycle fromdata selection and collection, ML model design and creation all the way through tooperationalizationand 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 pathto guide you along the way.You'll thrive in our diverse and vibrant work environment andwill be surrounded bypeerswho share your passion fordata and technology. As a graduate at Reply, you will get involved inHackathons, 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. We are hiring for Summer/ Autumn 2027!

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 monitorthe 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 datain relation to the problem you’re tackling andcommunicate findings to clients and stakeholders

About the candidate

• A minimum 2.1 Bachelor’s degree in ICT/Computer Science is required. The ideal candidatewill 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 includingPytorch, Tensorflow andSKLearn as well as initial knowledge of LangChain,RAGAS and CI/CD
• You can demonstrate a growth mindset in terms ofpicking up new challenges and transforming them in an opportunity to learn
• Flexibility regarding business travelling and positiveattitude 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.