Job Description: The role of Machine Learning Engineer focuses on candidates with senior-level expertise in machine learning, particularly those with hands-on coding skills and extensive experience in distributed computing and big data projects using Spark. The position requires proficiency in deep learning, streaming, and real-time machine learning applications, along with knowledge of programming languages such as Pyspark, C++, and Java. Candidates should also have experience with AWS architecture and relevant academic qualifications in Computer Science or Engineering.
Key Responsibilities:
- Develop and implement machine learning models and algorithms.
- Work on deep learning projects and real-time machine learning applications.
- Utilize distributed computing frameworks, particularly Spark, for big data projects.
- Ensure low latency in machine learning solutions.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
Skills Required:
- Hands-on coding skills in Pyspark, C++, and Java.
- Extensive experience in distributed computing and big data projects.
- Knowledge of deep learning, streaming, and real-time machine learning.
- Experience with AWS architecture.
- Masters or PhD in Computer Science or related technical field.
- Bachelor's degree in Computer Science or Engineering.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Detailed Description From Employer:
Machine Learning Engineer - pyspark, big data, C++, Java
Looking for Senior ML engineers with great hands-on coding skills, extensive distributed computing experience and who worked on big data projects with Spark
Experience in:
- Deep learning projects
- Streaming
- Realtime ML
- Low latency
- Pyspark, C++, Java
- AWS architecture
Preferred qualifications:
- Masters or PhD in Computer Science or related technical field
- Bachelor's degree in Computer science or Engineering
By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website
Job Description: The role of Machine Learning Engineer focuses on candidates with senior-level expertise in machine learning, particularly those with hands-on coding skills and extensive experience in distributed computing and big data projects using Spark. The position requires proficiency in deep learning, streaming, and real-time machine learning applications, along with knowledge of programming languages such as Pyspark, C++, and Java. Candidates should also have experience with AWS architecture and relevant academic qualifications in Computer Science or Engineering.
Key Responsibilities:
- Develop and implement machine learning models and algorithms.
- Work on deep learning projects and real-time machine learning applications.
- Utilize distributed computing frameworks, particularly Spark, for big data projects.
- Ensure low latency in machine learning solutions.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
Skills Required:
- Hands-on coding skills in Pyspark, C++, and Java.
- Extensive experience in distributed computing and big data projects.
- Knowledge of deep learning, streaming, and real-time machine learning.
- Experience with AWS architecture.
- Masters or PhD in Computer Science or related technical field.
- Bachelor's degree in Computer Science or Engineering.
Salary (Rate): undetermined
City: London
Country: UK
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
Detailed Description From Employer:
Machine Learning Engineer - pyspark, big data, C++, Java
Looking for Senior ML engineers with great hands-on coding skills, extensive distributed computing experience and who worked on big data projects with Spark
Experience in:
- Deep learning projects
- Streaming
- Realtime ML
- Low latency
- Pyspark, C++, Java
- AWS architecture
Preferred qualifications:
- Masters or PhD in Computer Science or related technical field
- Bachelor's degree in Computer science or Engineering
By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website
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