Principal Data Architect Manchester Harvey Nash is extremely proud to be partnered exclusively with is a leading innovator in the Utilities sector; dedicated to delivering cutting-edge solutions that empower businesses and enhance the customer experience. We are seeking a highly skilled Principal Data Architect with extensive experience in Azure, Databricks, and Fabric to join their dynamic team, on a permanent basis The Principal Data Architect will play a pivotal role in shaping and executing the data strategy, ensuring the effective use of Azure, Databricks, and Fabric to deliver robust, scalable, and high-performance data solutions. This role requires a visionary leader with deep technical expertise and the ability to collaborate across teams to drive our data architecture to the next level. Principal Data Architect - Key Responsibilities: Develop and implement comprehensive data strategies that align with business goals and leverage Azure, Databricks, and Fabric Design and oversee the architecture of complex data systems, ensuring they are scalable, secure, and high-performing Provide expert guidance on the use of Azure, Databricks, and Fabric to engineering and data teams Stay current with industry trends and emerging technologies, integrating them into the data architecture as appropriate Work closely with stakeholders, including data scientists, analysts, and business leaders, to understand data requirements and deliver effective solutions Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner Establish and enforce data governance policies to ensure data integrity, privacy, and compliance Implement best practices for data quality management, including data validation, cleansing, and monitoring Lead and manage data architecture projects from inception to completion, ensuring they are delivered on time and within budget Coordinate with cross-functional teams to ensure seamless integration of data solutions across the organisation Principal Data Architect - Skills & Experience: Extensive experience in data architecture, with proven experience in a leadership role Proven track record working across Azure; including Databricks, and Fabric Proficient in designing and implementing large-scale data solutions Deep expertise in cloud-based data platforms, particularly Azure Strong knowledge of Databricks for big data analytics and machine learning Experience with Fabric and other data integration tools Proficiency in SQL, Python, and other relevant programming languages Strong problem-solving abilities with a strategic mindset Excellent analytical skills to assess business requirements and translate them into technical solutions Exceptional communication and interpersonal skills Ability to work collaboratively with cross-functional teams Strong leadership and project management skills Bachelor's or Master's degree in Computer Science, Information Technology, or a related field If you are a highly experienced Data Architect, with experience in a Lead or Principal role, then I would like to hear from you. Principal Data Architect- Manchester Please apply directly online or send over your CV for immediate consideration to (see below)
25/06/2024
Full time
Principal Data Architect Manchester Harvey Nash is extremely proud to be partnered exclusively with is a leading innovator in the Utilities sector; dedicated to delivering cutting-edge solutions that empower businesses and enhance the customer experience. We are seeking a highly skilled Principal Data Architect with extensive experience in Azure, Databricks, and Fabric to join their dynamic team, on a permanent basis The Principal Data Architect will play a pivotal role in shaping and executing the data strategy, ensuring the effective use of Azure, Databricks, and Fabric to deliver robust, scalable, and high-performance data solutions. This role requires a visionary leader with deep technical expertise and the ability to collaborate across teams to drive our data architecture to the next level. Principal Data Architect - Key Responsibilities: Develop and implement comprehensive data strategies that align with business goals and leverage Azure, Databricks, and Fabric Design and oversee the architecture of complex data systems, ensuring they are scalable, secure, and high-performing Provide expert guidance on the use of Azure, Databricks, and Fabric to engineering and data teams Stay current with industry trends and emerging technologies, integrating them into the data architecture as appropriate Work closely with stakeholders, including data scientists, analysts, and business leaders, to understand data requirements and deliver effective solutions Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner Establish and enforce data governance policies to ensure data integrity, privacy, and compliance Implement best practices for data quality management, including data validation, cleansing, and monitoring Lead and manage data architecture projects from inception to completion, ensuring they are delivered on time and within budget Coordinate with cross-functional teams to ensure seamless integration of data solutions across the organisation Principal Data Architect - Skills & Experience: Extensive experience in data architecture, with proven experience in a leadership role Proven track record working across Azure; including Databricks, and Fabric Proficient in designing and implementing large-scale data solutions Deep expertise in cloud-based data platforms, particularly Azure Strong knowledge of Databricks for big data analytics and machine learning Experience with Fabric and other data integration tools Proficiency in SQL, Python, and other relevant programming languages Strong problem-solving abilities with a strategic mindset Excellent analytical skills to assess business requirements and translate them into technical solutions Exceptional communication and interpersonal skills Ability to work collaboratively with cross-functional teams Strong leadership and project management skills Bachelor's or Master's degree in Computer Science, Information Technology, or a related field If you are a highly experienced Data Architect, with experience in a Lead or Principal role, then I would like to hear from you. Principal Data Architect- Manchester Please apply directly online or send over your CV for immediate consideration to (see below)
Job: Monitoring Engineer (Splunk) Location: Amsterdam (Hybrid) Salary: up to €5,000 per month Job Type: Permanent Job Responsibilities/Objectives: On-boarding and indexing data. Building dashboards. Developing, maintaining and managing a Splunk environment for optimal performance. Come up with improvement proposals to the customer. Required Skills/Experience The ideal candidate will have the following: Experience with independently designing, building and implementing a data environment. For example, from a previous role as data consultant, data analyst, data architect or data scientist. Extensive experience with Splunk, ELK stack or other similar products. In depth knowledge of Windows and Linux. Knowledge of Python or another Scripting language. Knowledge of DevOps, CI/CD tooling (Docker, Kubernetes, AWS/Azure, Rancher or Terraform) is definitely an added value. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
24/06/2024
Full time
Job: Monitoring Engineer (Splunk) Location: Amsterdam (Hybrid) Salary: up to €5,000 per month Job Type: Permanent Job Responsibilities/Objectives: On-boarding and indexing data. Building dashboards. Developing, maintaining and managing a Splunk environment for optimal performance. Come up with improvement proposals to the customer. Required Skills/Experience The ideal candidate will have the following: Experience with independently designing, building and implementing a data environment. For example, from a previous role as data consultant, data analyst, data architect or data scientist. Extensive experience with Splunk, ELK stack or other similar products. In depth knowledge of Windows and Linux. Knowledge of Python or another Scripting language. Knowledge of DevOps, CI/CD tooling (Docker, Kubernetes, AWS/Azure, Rancher or Terraform) is definitely an added value. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format. Disclaimer Notwithstanding any guidelines given to level of experience sought, we will consider candidates from outside this range if they can demonstrate the necessary competencies. Square One is acting as both an employment agency and an employment business, and is an equal opportunities recruitment business. Square One embraces diversity and will treat everyone equally. Please see our website for our full diversity statement.
Global Enterprise Partners is currently looking for a Data Scientist for a support project with our global client in the FMCG Industry. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum of 3-5 years of experience in developing and deploying computer vision and machine learning models. Proficiency in Python and familiarity with libraries/frameworks such as TensorFlow, Keras, or PyTorch. Experience with image classification Strong understanding of image processing techniques and data augmentation methods. Experience in data collection, labelling, preprocessing, and augmentation. Ability to fine-tune machine learning models and optimize hyperparameters. Desirable Attributes: Experience with agricultural data would be advantageous. Knowledge of deploying machine learning models in production environments. Familiarity with cloud platforms for AI and machine learning, such as AWS, Azure, or Google Cloud. Ability to translate business requirements into technical specifications. Strong analytical skills and a proactive approach to identifying and solving problems. Contract Details: Start: ASAP. Duration: 3months + with extensions Location: Dubai (3 days on-site & 2 days remote) Rate: Please let me know your expectations Interested? If you, or somebody else you know is interested in the Data Scientist position please apply directly with an updated CV or get in touch with Francesco Leone.
21/06/2024
Project-based
Global Enterprise Partners is currently looking for a Data Scientist for a support project with our global client in the FMCG Industry. Required Skills and Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. Minimum of 3-5 years of experience in developing and deploying computer vision and machine learning models. Proficiency in Python and familiarity with libraries/frameworks such as TensorFlow, Keras, or PyTorch. Experience with image classification Strong understanding of image processing techniques and data augmentation methods. Experience in data collection, labelling, preprocessing, and augmentation. Ability to fine-tune machine learning models and optimize hyperparameters. Desirable Attributes: Experience with agricultural data would be advantageous. Knowledge of deploying machine learning models in production environments. Familiarity with cloud platforms for AI and machine learning, such as AWS, Azure, or Google Cloud. Ability to translate business requirements into technical specifications. Strong analytical skills and a proactive approach to identifying and solving problems. Contract Details: Start: ASAP. Duration: 3months + with extensions Location: Dubai (3 days on-site & 2 days remote) Rate: Please let me know your expectations Interested? If you, or somebody else you know is interested in the Data Scientist position please apply directly with an updated CV or get in touch with Francesco Leone.
Machine Learning Engineer | Python | ML | Data Science | Databricks | VCS | CI/CD | TDD | York | £65,000 Overview: Join a cutting-edge data science team as a Machine Learning Engineer and play a pivotal role in developing and maintaining the infrastructure that powers our advanced data analytics. This role provides a unique opportunity to transition innovative models from research to production, collaborating closely with data scientists to influence key business decisions through data-driven insights. Responsibilities: Deployment Framework: Design and manage the deployment framework for data science services, ensuring seamless data flow from our business data warehouse into the data science life cycle. Lifecycle Automation: Lead the automation of the data science process, from dataset creation to model deployment, monitoring, and updates. Collaboration: Partner with data scientists, data engineers, and other technical teams to enhance our analytics capabilities. Coding Excellence: Develop and maintain high-quality Python code for model training and deployment, adhering to best practices. Required Skills: Strong Python programming expertise. Solid understanding of software engineering principles. Proficient in Test-Driven Development (TDD) with tools like pytest. Experience with cloud-based deployments, particularly on Azure. Skilled in using Databricks. Familiarity with managed endpoints and orchestration tools like AKS. Competent with Version Control Systems (VCS) and CI/CD pipelines. Ability to identify and solve business problems using machine learning techniques. Proven track record in developing predictive and prescriptive models. Desirable Skills: Advanced degrees in fields such as engineering, mathematics, physics, or statistics. Background in data science within finance, insurance, or eCommerce sectors. Experience with neural networks and tools like TensorFlow, CatBoost, XGBoost, SKlearn, and Pandas. Benefits: Competitive salary. 25 days annual leave, plus additional company-specific days. 4-week paid sabbatical after every 5 years of service. Performance-based bonuses. Contributory pension scheme. Additional perks, including gym membership contributions and holiday gifts. Machine Learning Engineer | Python | ML | Data Science | Databricks | VCS | CI/CD | TDD | York | £65,000
20/06/2024
Full time
Machine Learning Engineer | Python | ML | Data Science | Databricks | VCS | CI/CD | TDD | York | £65,000 Overview: Join a cutting-edge data science team as a Machine Learning Engineer and play a pivotal role in developing and maintaining the infrastructure that powers our advanced data analytics. This role provides a unique opportunity to transition innovative models from research to production, collaborating closely with data scientists to influence key business decisions through data-driven insights. Responsibilities: Deployment Framework: Design and manage the deployment framework for data science services, ensuring seamless data flow from our business data warehouse into the data science life cycle. Lifecycle Automation: Lead the automation of the data science process, from dataset creation to model deployment, monitoring, and updates. Collaboration: Partner with data scientists, data engineers, and other technical teams to enhance our analytics capabilities. Coding Excellence: Develop and maintain high-quality Python code for model training and deployment, adhering to best practices. Required Skills: Strong Python programming expertise. Solid understanding of software engineering principles. Proficient in Test-Driven Development (TDD) with tools like pytest. Experience with cloud-based deployments, particularly on Azure. Skilled in using Databricks. Familiarity with managed endpoints and orchestration tools like AKS. Competent with Version Control Systems (VCS) and CI/CD pipelines. Ability to identify and solve business problems using machine learning techniques. Proven track record in developing predictive and prescriptive models. Desirable Skills: Advanced degrees in fields such as engineering, mathematics, physics, or statistics. Background in data science within finance, insurance, or eCommerce sectors. Experience with neural networks and tools like TensorFlow, CatBoost, XGBoost, SKlearn, and Pandas. Benefits: Competitive salary. 25 days annual leave, plus additional company-specific days. 4-week paid sabbatical after every 5 years of service. Performance-based bonuses. Contributory pension scheme. Additional perks, including gym membership contributions and holiday gifts. Machine Learning Engineer | Python | ML | Data Science | Databricks | VCS | CI/CD | TDD | York | £65,000
Request Technology - Craig Johnson
Los Angeles (Downtown), California
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.
12/06/2024
Full time
*We are unable to sponsor for this permanent Full time role* *Position is bonus eligible* Prestigious Global Firm is currently seeking a Director of Applied AI and Data Science. Candidate will orchestrate a new era of innovation and impact at the crossroads of technology and law. Candidate will not only drive advancements in AI but also help shape the future of legal services to maximize impact for our clients. This position offers the rare opportunity to blend technical prowess with strategic foresight, making a tangible difference in our firm and the industry at large. Responsibilities: Lead and expand the strategic vision for deploying AI and advanced analytics within our firm, translating cutting-edge technology into practical, impactful legal solutions. Champion the identification, assessment, and prioritization of AI/advanced analytics use cases to revolutionize both our legal practices and business operations. Cultivate a high-calibre, cross-functional team of data scientists and responsible AI specialists, fostering a culture of excellence, innovation, and ethical AI. Drive collaboration across a diverse set of stakeholders through a unique hub and spoke model, ensuring the alignment of technology initiatives with business objectives. Oversee the development and implementation of proof-of-concepts and AI model deployment, ensuring seamless integration and value creation within our legal framework. Be the vanguard for a culture of continuous learning and knowledge exchange within the AI and Data Science Center of Excellence (COE), promoting cross-team collaboration and innovation. Offer strategic insights and leadership on the long-term implications, risks, and ethical considerations of AI and advanced analytics in the legal sector. Qualifications: Bachelor's degree in a relevant field is required, and an advanced degree or relevant certifications are highly preferred. Minimum of 10 years of relevant experience in AI, data science, or related fields, with a proven track record in professional services industries. Exceptional leadership skills, with experience in building, mentoring, and guiding high-performing, diverse teams of data scientists and AI professionals. Demonstrated success in developing and deploying AI-driven solutions and models, particularly within the legal or professional services sectors. Profound understanding of AI and advanced analytics technologies, coupled with the ability to discern their feasibility and long-term impact within the legal context. Exemplary communication and stakeholder management skills, adept at engaging with leadership and key stakeholders to drive consensus and action. A pioneering spirit, driven by a passion to enact change and deliver results in the legal field, balanced with a deep understanding of the associated long-term risks and ethical considerations. Technologies: AI/ML Frameworks and Tools: Expertise in popular machine learning libraries such as TensorFlow, PyTorch, and Keras. Proficient in using AI/ML platforms like Google AI Platform, AWS SageMaker, or Azure Machine Learning for model development and deployment. Data Analytics and Big Data Technologies: Proficient in big data technologies such as Hadoop, Spark, and Kafka for handling large datasets. Experience with data visualization tools like Tableau, Power BI, or Qlik for deriving actionable insights from data. Programming Languages: Strong proficiency in programming languages such as Python, R, and SQL, crucial for data manipulation and algorithm development. Familiarity with Java or Scala can be advantageous for integration with enterprise systems. Cloud Computing Platforms: In-depth knowledge of cloud computing environments such as AWS, Azure, or Google Cloud Platform, particularly their AI and data analytics services. Database Management: Experience with database management and querying tools, including traditional SQL databases (eg, MySQL, PostgreSQL) and NoSQL databases (eg, MongoDB, Cassandra). DevOps and MLOps: Familiarity with DevOps practices and tools (eg, Jenkins, Docker, Kubernetes) for efficient deployment of AI solutions. Understanding of MLOps principles to streamline the machine learning life cycle from experimentation to production. Legal-Tech Software: Exposure to legal-tech software and platforms is beneficial, as it provides contextual understanding crucial for application in the legal domain. Security and Compliance Tools: Knowledge of security protocols and compliance standards relevant to data privacy and AI ethics, especially in the legal sector. Collaboration and Project Management Tools: Proficiency in using project management and collaboration tools (eg, JIRA, Asana, Trello) to manage AI/ML projects efficiently. Emerging Technologies: Keen interest and understanding of emerging technologies in AI, such as natural language processing, computer vision, and predictive analytics, to stay ahead in the field.