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.
AI AND MACHINE LEARNING ENGINEER employer: Canvas Reply
At Reply, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to excel in their roles. As an AWS Solutions Architect, you will benefit from continuous professional development opportunities, collaborative teamwork, and the chance to work on cutting-edge cloud technologies in a vibrant UK setting. Join us to make a meaningful impact while enjoying a supportive environment that values creativity and growth.
