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Form of workWho We Are
SDG Group is a rapidly growing global management consulting firm that specializes in Data Analytics. We have practices across Business Analytics, Data Management, Advanced and Predictive Analytics, and Business Insights. We partner with leading technology companies and collaborate with SDG offices globally to drive innovative solutions that enable some of the world’s largest companies to improve decision-making processes and performance based on data.
Why Join Us?
We’re looking for problem solvers, innovators, and collaborators who want to be a part of the mission to help us to further grow our company! You will have the ability to learn the latest technologies in the market and build strong relationships with technical and business leaders, all while deepening your expertise and enhancing your skills. We will work with you to create customized career plans which will allow you to grow independently, as well as with your colleagues. If you value inclusivity and want to join a culture that empowers you to show up as your authentic self, join us. Our goal is to move through the interview process in a timely manner while staying highly communicative. We are committed to ensuring that you are equipped with a comprehensive understanding of SDG Group and the role you have applied to.
About the AI/ML Engineer Role:
If you have 4+ years of experience implementing data analytics solutions and would like to take your career to the next level within a rapidly growing and dynamic organization, join the SDG family! SDG is a company full of opportunities and committed to the success of our customers and the development of our employees.
Work Type:
Hybrid (3 x per week in either our London or Milton Keynes office)
Requirements:
- Degree in Computer Engineering, Telecommunications Engineering, or
any other degree in a technical field and close to software engineering. - At least 4 years of experience as a machine learning engineer.
- Theoretical and practical knowledge of the fundamentals of data science,
the lifecycle of data science solutions, and the implementation of
machine learning solutions. - Experience in implementing machine learning and artificial intelligence
solutions. - Technologies: Python, R, Docker, Azure Databricks, Azure Machine
Learning, Amazon SageMaker, Google Vertex AI, Apache Airflow,
MLflow, Kubernetes...).
Qualifications:
- Knowledge of MLOps methodology.
- Master's degree and/or PhD in a subject related to the fields of big data
or artificial intelligence. - Previous consulting experience in the world of data & analytics.
- Experience in the use of cloud technologies with respect to concepts
such as infrastructure enablement, automation of data pipelines, and
operation and monitoring of data processing systems.
