Head of Data Our client, a housing association is looking to bring in a Head of Data to spearhead the development and design of their data strategy to align with their strategic goals. The salary for this role is £68,000 and requires you onsite 2-3 days a week in their recently refurbished office in West Sussex. Location - West Sussex We are looking for somebody strong in the following areas: Experience with data management and relevant frameworks Ability to digest and understand large amounts of data Understanding of data security laws Experience with Office 365 including SharePoint, Forms, Teams and PowerAutomate Experience in analysing large amounts of data Benefits include: 27 days annual leave plus bank holidays Employee benefits Programme Cash back scheme 10-12% Pension scheme Life assurance 4x annual salary If you're interested, please get in touch Thanks, Will Xpertise Xpertise are acting as an employment agency and business for this role
18/04/2024
Full time
Head of Data Our client, a housing association is looking to bring in a Head of Data to spearhead the development and design of their data strategy to align with their strategic goals. The salary for this role is £68,000 and requires you onsite 2-3 days a week in their recently refurbished office in West Sussex. Location - West Sussex We are looking for somebody strong in the following areas: Experience with data management and relevant frameworks Ability to digest and understand large amounts of data Understanding of data security laws Experience with Office 365 including SharePoint, Forms, Teams and PowerAutomate Experience in analysing large amounts of data Benefits include: 27 days annual leave plus bank holidays Employee benefits Programme Cash back scheme 10-12% Pension scheme Life assurance 4x annual salary If you're interested, please get in touch Thanks, Will Xpertise Xpertise are acting as an employment agency and business for this role
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.
Legal Technologist - Birmingham (Hybrid) - £45k - Legal Legal Technology | High Q | Kira | Innovation | Projects | Stakeholder Management Salary: £45,000 Location: Birmingham (2 Days per week in the office) Are you passionate about innovation and looking for a new challenge in your career? Do you have demonstrable experience of working with legal technology platforms? Have you previously been involved in innovation projects, assisting with development and delivery? Interested in working for an innovative and award-winning company who support the development of your career? If so, I have a fantastic opportunity for you! I'm looking to speak with individuals who are aware of the current legal technology landscape and developments in AI-enabled and automated legal technologies. You will be able to demonstrate that you can articulate the benefits of legal technology to both technical and non-technical colleagues. You will need an enthusiastic attitude and an ability to prioritise workloads to deliver on numerous projects at any one time. Key Responsibilities Co-ordinate and lead operational support for innovation projects Promote innovation and continuous improvement across the organisation Conduct research on legal technology trends and tools to make recommendations for continuous improvement Present to clients and colleagues to demonstrate and train them on existing products Coach the lawyers on legal technology and support them with new ways of working The Ideal Candidate Positive and proactive attitude Excellent organisational skills with an ability to manage multiple projects at once Able to work under pressure and meet deadlines Desired experience with: High Q Kira AI-enabled and automated legal technologies Educating technical and non-technical colleagues on the benefits of legal technology Co-ordinating innovation projects If you would like to be considered for this role, apply below or get in contact with Andrew Rose for further details. Xpertise are acting as an employment agency and business
12/04/2024
Full time
Legal Technologist - Birmingham (Hybrid) - £45k - Legal Legal Technology | High Q | Kira | Innovation | Projects | Stakeholder Management Salary: £45,000 Location: Birmingham (2 Days per week in the office) Are you passionate about innovation and looking for a new challenge in your career? Do you have demonstrable experience of working with legal technology platforms? Have you previously been involved in innovation projects, assisting with development and delivery? Interested in working for an innovative and award-winning company who support the development of your career? If so, I have a fantastic opportunity for you! I'm looking to speak with individuals who are aware of the current legal technology landscape and developments in AI-enabled and automated legal technologies. You will be able to demonstrate that you can articulate the benefits of legal technology to both technical and non-technical colleagues. You will need an enthusiastic attitude and an ability to prioritise workloads to deliver on numerous projects at any one time. Key Responsibilities Co-ordinate and lead operational support for innovation projects Promote innovation and continuous improvement across the organisation Conduct research on legal technology trends and tools to make recommendations for continuous improvement Present to clients and colleagues to demonstrate and train them on existing products Coach the lawyers on legal technology and support them with new ways of working The Ideal Candidate Positive and proactive attitude Excellent organisational skills with an ability to manage multiple projects at once Able to work under pressure and meet deadlines Desired experience with: High Q Kira AI-enabled and automated legal technologies Educating technical and non-technical colleagues on the benefits of legal technology Co-ordinating innovation projects If you would like to be considered for this role, apply below or get in contact with Andrew Rose for further details. Xpertise are acting as an employment agency and business