Graduate AI and Machine Learning Engineer -

Reply; United Kingdom; On-site; GBP 30,000 - 40,000; Full time

Job summary

A technology solutions provider in the United Kingdom seeks a Graduate AI & Machine Learning Engineer to collaborate on machine learning projects. Responsibilities include managing ML pipelines, working with cross-disciplinary teams, and engaging with clients. Candidates should have a Bachelor's degree in Engineering or Computer Science, proficiency in Python, and strong communication skills. The role offers training opportunities and engagement in diverse client projects.

Benefits

Training and development opportunities

Engagement in Hackathons and Code Challenges

Diverse work environment

Qualifications

• Minimum 2.1 Bachelor's degree in Engineering or Computer Science required.
• Proficiency in Python and ML frameworks.
• At least 1 year of relevant experience in ML model deployment.

Responsibilities

• Collaborate with Data Science teams on ML pipelines.
• Manage infrastructure for ML model training.
• Monitor ML model performance in production.

Skills

Python

Machine learning processes

Cloud computing (AWS)

Excellent communication skills

Collaboration with data teams

Education

Bachelor's degree in Engineering or Computer Science

Master's in Data Science or Artificial Intelligence

Tools

PyTorch

TensorFlow

Docker

Kubernetes

Job description

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 designing and developing machine learning processes across various client environments. Your responsibilities include analyzing client requirements, generating recommendations, and managing the ML lifecycle from data collection and model design to deployment and monitoring. You will collaborate closely with data scientists and senior MLOps Engineers to implement models into production. At Data Reply, you'll have access to extensive training and a structured learning path, thriving in a diverse environment with opportunities like Hackathons, Code Challenges, Labcamps, and our graduate program. Working as a Data Reply consultant, you'll engage with leading global brands on exciting projects.

Responsibilities:

1. Collaborate with Data Science teams to automate and govern machine learning pipelines.
2. Manage infrastructure and orchestration pipelines for training and deploying ML models.
3. Implement solutions to monitor ML model performance in production.
4. Work with cross-disciplinary teams including Data Engineers, Data Scientists, MLOps Engineers, and Data Visualization Specialists.
5. Engage with domain experts across industries to understand and address complex problems.
6. Analyze and interpret client data, communicating insights effectively to stakeholders.

About the candidate:

• A minimum 2.1 Bachelor's degree in Engineering or Computer Science is required; a Master's in Data Science or Artificial Intelligence is preferred.
• Excellent communication skills to articulate complex information clearly to diverse audiences.
• Strong understanding of computer science fundamentals (databases, software engineering, cloud computing especially AWS) and data science concepts (machine learning processes).
• Proficiency in Python, including frameworks like PyTorch, TensorFlow, and scikit-learn, with initial knowledge of LangChain and RAGAS.
• Familiarity with CI/CD workflows; experience with Docker and Kubernetes is a plus.
• At least 1 year of relevant experience in training, evaluating, and deploying machine learning models.
• A growth mindset and enthusiasm for tackling new challenges and learning opportunities.
• Flexibility for business travel and positive attitude towards working on diverse client projects.

Reply is an Equal Opportunities Employer committed to diversity and fair recruitment practices. We welcome applicants from all backgrounds and encourage you to inform us of any reasonable adjustments needed during the recruitment process.