Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
17/04/2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
17/04/2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired/what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps/DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (eg, pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Senior .NET Developer (Software Engineer Programmer Developer .NET 6.0 7.0 Lead Technical .NET C# AWS React TypeScript Redux Saga Ag-Grid Amazon Web Services Cloud Buy Side Buy-Side Risk Hedge Fund Asset Manager Management Investment Mutual Investment Risk Derivatives Front Office Front Office JavaScript Finance Contract Contractor) required by our asset management client in London. You MUST have the following: Strong experience as a Senior .NET Developer/Programmer/Software Engineer ASP.NET Core or .NET 6.0 or 7.0 TypeScript and React or Angular or Vue GCP, Azure or Amazon Web Services (AWS) commercially or in home projects Experience within a trading environment- exposure to equities, FX or bonds/Fixed Income products Agile The following is DESIRABLE, not essential: Redux, Ag-Grid Experience on the buy-side- hedge fund, asset management, investment management, wealth manager Experience with risk platforms Role: Senior .NET Developer (Software Engineer Programmer Developer .NET 6.0 7.0 Lead Technical .NET C# AWS React TypeScript Redux Saga Ag-Grid Amazon Web Services Cloud Buy Side Buy-Side Risk Hedge Fund Asset Manager Management Investment Mutual Investment Risk Derivatives Front Office Front Office JavaScript Finance Contract Contractor) required by our asset management client in London. You will join a department dedicated to investment risk- creating applications that aggregate the risk of the portfolios across the company. Within this department, there are 18 engineers. You will be the senior member of a technical team of 4 who are responsible for the production side of the application. The 3 members are technical junior to mid-level developers. You will be come from a technical background and oversee and address incoming technical issues, collaborate with development team leads and the businesses to escalate and solve issues. You need to be able to query data in SQL. Python Scripting is desirable but not essential. You will also be able to read C#, although you will not be required to write any C# or do any coding. Any exposure to the front, middle or Back Office trading would also be advantageous. The company have a hybrid working setup where you will be required to attend the office 2-3 days a week depending on the setup. Hours can be flexible to cater for morning and afternoon school-runs, as long as the work is done. Some of the work overlaps with the US so any flexibility to start late and end late would also be welcome. Salary: £60-80k + 25% Bonus + 10% Pension
17/04/2024
Full time
Senior .NET Developer (Software Engineer Programmer Developer .NET 6.0 7.0 Lead Technical .NET C# AWS React TypeScript Redux Saga Ag-Grid Amazon Web Services Cloud Buy Side Buy-Side Risk Hedge Fund Asset Manager Management Investment Mutual Investment Risk Derivatives Front Office Front Office JavaScript Finance Contract Contractor) required by our asset management client in London. You MUST have the following: Strong experience as a Senior .NET Developer/Programmer/Software Engineer ASP.NET Core or .NET 6.0 or 7.0 TypeScript and React or Angular or Vue GCP, Azure or Amazon Web Services (AWS) commercially or in home projects Experience within a trading environment- exposure to equities, FX or bonds/Fixed Income products Agile The following is DESIRABLE, not essential: Redux, Ag-Grid Experience on the buy-side- hedge fund, asset management, investment management, wealth manager Experience with risk platforms Role: Senior .NET Developer (Software Engineer Programmer Developer .NET 6.0 7.0 Lead Technical .NET C# AWS React TypeScript Redux Saga Ag-Grid Amazon Web Services Cloud Buy Side Buy-Side Risk Hedge Fund Asset Manager Management Investment Mutual Investment Risk Derivatives Front Office Front Office JavaScript Finance Contract Contractor) required by our asset management client in London. You will join a department dedicated to investment risk- creating applications that aggregate the risk of the portfolios across the company. Within this department, there are 18 engineers. You will be the senior member of a technical team of 4 who are responsible for the production side of the application. The 3 members are technical junior to mid-level developers. You will be come from a technical background and oversee and address incoming technical issues, collaborate with development team leads and the businesses to escalate and solve issues. You need to be able to query data in SQL. Python Scripting is desirable but not essential. You will also be able to read C#, although you will not be required to write any C# or do any coding. Any exposure to the front, middle or Back Office trading would also be advantageous. The company have a hybrid working setup where you will be required to attend the office 2-3 days a week depending on the setup. Hours can be flexible to cater for morning and afternoon school-runs, as long as the work is done. Some of the work overlaps with the US so any flexibility to start late and end late would also be welcome. Salary: £60-80k + 25% Bonus + 10% Pension