AI AND MACHINE LEARNING ENGINEER

Canvas Reply; Greater London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

Reply, Inc. is seeking an AI & Machine Learning Engineer to design and develop machine learning processes across client environments. You will analyse requirements, help shape recommendations, and manage the ML lifecycle from data collection to production monitoring.

You will collaborate with data scientists and MLOps engineers to translate models into production systems. You’ll engage in training opportunities, hackathons, and a structured graduate learning programme while working on projects

Qualifications

• A minimum 2.1 Bachelor’s degree in Engineering/Computer Science is required.
• The ideal candidate will have a Master’s degree in Data Science or Artificial Intelligence.
• Excellent communications skills with ability to convey complex information clearly.
• Strong understanding of CS concepts and data science (ML processes).

Responsibilities

• Work closely with the Data Science team to introduce automation and governance in ML pipelines.
• Manage the infrastructure and orchestration pipelines to train and deploy ML models to production.
• Implement solutions to monitor model performance in production over time.
• Collaborate with Data Engineers, Data Scientists, MLOps Engineers and Data Visualization Specialists.
• Interact with domain experts from different industries to understand and tackle problems.
• Explore client data and communicate findings to clients and stakeholders.

Skills

Python

PyTorch

TensorFlow

Scikit-learn

AWS

Docker

Kubernetes

CI/CD

Data Science

English communication

Education

Bachelor's degree in Engineering or Computer Science

Master's degree in Data Science or Artificial Intelligence

Tools

Docker

Kubernetes

LangChain

RAGAS

Job description

Reply specialises in designing and implementing solutions based on new communication channels and digital media. Structured as a network of highly specialised companies, 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’s services include Consulting, System Integration, and Digital Services.

Role overview:

As a AI & Machine Learning Engineer, you'll be instrumental inthe design and development of machine learningprocesses in a variety of client environments. You will analyse 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 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 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 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 data in relation to the problem you’re tackling andcommunicate findings to clients and stakeholders

About the candidate:

A minimum 2.1 Bachelor’s degree in Engineering/Computer Science is required. The ideal candidatewill have a Bachelor’s degree in Engineering/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 andRAGAS.

Familiarity with CI/CD workflows is required and experience with containerisation and deployment using Docker/Kubernetes will be considered a plus

1+ year experience working in a relevant role (training, evaluating and deploying Machine learning models)

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.