Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Data Engineer - Join a Pioneering Data Science Team Be part of a unique team, bridging commercial projects with academic research. Work with a mix of data, ML and cloud technologies in a role that promises diverse technical challenges and learning opportunities. Join a growing and successful Data Science team in a supportive atmosphere that values ambition and continuous skill development. Are you ready to be at the forefront of data innovation? This company is collaborating with the University of Bristol and looking to bolster its dynamic Data Science Team.This is your chance to blend commercial projects with academic research, working alongside Masters/Ph.D. students. If you're passionate about Data Engineering, Machine Learning, MLOps annd Cloud Development, this opportunity is for you. What you'll be doing Develop end-to-end data & machine learning solutions vital for serving millions of customers. Consult within the business, working with different areas to identify opportunities and develop solutions. Liaise with business experts to understand their needs and data requirements. Create next-generation data platforms for market-leading ML solutions. Remember, it's not just about the technical know-how; it's about ambition and the desire to learn. The hiring manager welcome diverse backgrounds and will provide upskilling in key areas. What experience you'll need to apply A strong foundation in data engineering/ML. Python and/or SQL Cloud experience. Excellent problem-solving skills and a knack for optimal solutions. Ability to communicate and collaborate effectively. What you'll get in return for your experience You'll be a part of a team that's pushing the boundaries. They offer: A competitive salary up to £50k, plus bonus and great benefits including 30 days of holiday (plus bank holiday) Opportunities for professional growth and learning. Flexible work policies and a collaborative environment. Engaging projects that combine commercial and academic pursuits. The chance to be part of a team that's making a significant impact across the business. Locations: Bristol/London/Bournemouth 2 days per week What's next? If this role sounds like a match for you, please apply with an up-to-date CV.
May 16, 2024
Full time
Data Engineer - Join a Pioneering Data Science Team Be part of a unique team, bridging commercial projects with academic research. Work with a mix of data, ML and cloud technologies in a role that promises diverse technical challenges and learning opportunities. Join a growing and successful Data Science team in a supportive atmosphere that values ambition and continuous skill development. Are you ready to be at the forefront of data innovation? This company is collaborating with the University of Bristol and looking to bolster its dynamic Data Science Team.This is your chance to blend commercial projects with academic research, working alongside Masters/Ph.D. students. If you're passionate about Data Engineering, Machine Learning, MLOps annd Cloud Development, this opportunity is for you. What you'll be doing Develop end-to-end data & machine learning solutions vital for serving millions of customers. Consult within the business, working with different areas to identify opportunities and develop solutions. Liaise with business experts to understand their needs and data requirements. Create next-generation data platforms for market-leading ML solutions. Remember, it's not just about the technical know-how; it's about ambition and the desire to learn. The hiring manager welcome diverse backgrounds and will provide upskilling in key areas. What experience you'll need to apply A strong foundation in data engineering/ML. Python and/or SQL Cloud experience. Excellent problem-solving skills and a knack for optimal solutions. Ability to communicate and collaborate effectively. What you'll get in return for your experience You'll be a part of a team that's pushing the boundaries. They offer: A competitive salary up to £50k, plus bonus and great benefits including 30 days of holiday (plus bank holiday) Opportunities for professional growth and learning. Flexible work policies and a collaborative environment. Engaging projects that combine commercial and academic pursuits. The chance to be part of a team that's making a significant impact across the business. Locations: Bristol/London/Bournemouth 2 days per week What's next? If this role sounds like a match for you, please apply with an up-to-date CV.
Data Engineer - Join a Pioneering Data Science Team Be part of a unique team, bridging commercial projects with academic research. Work with a mix of data, ML and cloud technologies in a role that promises diverse technical challenges and learning opportunities. Join a growing and successful Data Science team in a supportive atmosphere that values ambition and continuous skill development. Are you ready to be at the forefront of data innovation? This company is collaborating with the University of Bristol and looking to bolster its dynamic Data Science Team.This is your chance to blend commercial projects with academic research, working alongside Masters/Ph.D. students. If you're passionate about Data Engineering, Machine Learning, MLOps annd Cloud Development, this opportunity is for you. What you'll be doing Develop end-to-end data & machine learning solutions vital for serving millions of customers. Consult within the business, working with different areas to identify opportunities and develop solutions. Liaise with business experts to understand their needs and data requirements. Create next-generation data platforms for market-leading ML solutions. Remember, it's not just about the technical know-how; it's about ambition and the desire to learn. The hiring manager welcome diverse backgrounds and will provide upskilling in key areas. What experience you'll need to apply A strong foundation in data engineering/ML. Python and/or SQL Cloud experience. Excellent problem-solving skills and a knack for optimal solutions. Ability to communicate and collaborate effectively. What you'll get in return for your experience You'll be a part of a team that's pushing the boundaries. They offer: A competitive salary up to £50k, plus bonus and great benefits including 30 days of holiday (plus bank holiday) Opportunities for professional growth and learning. Flexible work policies and a collaborative environment. Engaging projects that combine commercial and academic pursuits. The chance to be part of a team that's making a significant impact across the business. Locations: Bristol/London/Bournemouth 2 days per week What's next? If this role sounds like a match for you, please apply with an up-to-date CV.
May 16, 2024
Full time
Data Engineer - Join a Pioneering Data Science Team Be part of a unique team, bridging commercial projects with academic research. Work with a mix of data, ML and cloud technologies in a role that promises diverse technical challenges and learning opportunities. Join a growing and successful Data Science team in a supportive atmosphere that values ambition and continuous skill development. Are you ready to be at the forefront of data innovation? This company is collaborating with the University of Bristol and looking to bolster its dynamic Data Science Team.This is your chance to blend commercial projects with academic research, working alongside Masters/Ph.D. students. If you're passionate about Data Engineering, Machine Learning, MLOps annd Cloud Development, this opportunity is for you. What you'll be doing Develop end-to-end data & machine learning solutions vital for serving millions of customers. Consult within the business, working with different areas to identify opportunities and develop solutions. Liaise with business experts to understand their needs and data requirements. Create next-generation data platforms for market-leading ML solutions. Remember, it's not just about the technical know-how; it's about ambition and the desire to learn. The hiring manager welcome diverse backgrounds and will provide upskilling in key areas. What experience you'll need to apply A strong foundation in data engineering/ML. Python and/or SQL Cloud experience. Excellent problem-solving skills and a knack for optimal solutions. Ability to communicate and collaborate effectively. What you'll get in return for your experience You'll be a part of a team that's pushing the boundaries. They offer: A competitive salary up to £50k, plus bonus and great benefits including 30 days of holiday (plus bank holiday) Opportunities for professional growth and learning. Flexible work policies and a collaborative environment. Engaging projects that combine commercial and academic pursuits. The chance to be part of a team that's making a significant impact across the business. Locations: Bristol/London/Bournemouth 2 days per week What's next? If this role sounds like a match for you, please apply with an up-to-date CV.
Site Name: London The Stanley Building, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper Providence Posted Date: May At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Wednesday 29th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included . click apply for full job details
May 16, 2024
Full time
Site Name: London The Stanley Building, USA - Massachusetts - Cambridge, USA - Pennsylvania - Upper Providence Posted Date: May At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Significant technical product management experience Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with andstrong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Wednesday 29th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included . click apply for full job details
Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts. Key details: Salary: £55,000-95,000 (Mid-Lead I'd consider experienced contractors with a rate of £450.00 per day (Outisde IR35) Benefits: Private healthcare + 10% pension + free lunches + international travel opportunities Location: Birmingham; can be remote-based, hybrid working or office-based Future outlook: Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired / what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership capabilities: mentorship, management Role overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
May 15, 2024
Full time
Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts. Key details: Salary: £55,000-95,000 (Mid-Lead I'd consider experienced contractors with a rate of £450.00 per day (Outisde IR35) Benefits: Private healthcare + 10% pension + free lunches + international travel opportunities Location: Birmingham; can be remote-based, hybrid working or office-based Future outlook: Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired / what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership capabilities: mentorship, management Role overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform. Based in the vibrant heart of tech innovation, this team is dedicated to reshaping how content is created and consumed. This is an opportunity to influence the future of digital media, integrating cutting-edge AI technologies with human creativity to produce scalable and personalised content. If you thrive in dynamic, forward-thinking environments and are passionate about AI's potential in content creation, this position could be your ideal match! What you ll be doing: As a key member of their AI development team, you will: Design and develop state-of-the-art AI models for content generation and personalisation. Handle a variety of data types, ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models, including specialised techniques in Retrieval-Augmented Generation (RAG). Ensure high performance and scalability of AI solutions on cloud platforms like Azure and AWS. Research and integrate the latest AI advancements to keep their solutions at the industry's forefront. Work closely with cross-functional teams to deliver products that align with their strategic goals. What experience you ll need to apply: Bachelor s or Master s degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures, especially Azure or AWS. Prior involvement in content-driven AI projects. What you ll get in return for your experience: An attractive salary of £90k with flexible working arrangements, including hybrid options in London or remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are valued and encouraged. 12-month initial Fixed Term Contract with the possibility to extend. What's next? If you are eager to drive the next generation of AI in content creation and think you fit the bill, we would love to hear from you. Apply with and up-to-date CV and I will be in touch.
May 15, 2024
Full time
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform. Based in the vibrant heart of tech innovation, this team is dedicated to reshaping how content is created and consumed. This is an opportunity to influence the future of digital media, integrating cutting-edge AI technologies with human creativity to produce scalable and personalised content. If you thrive in dynamic, forward-thinking environments and are passionate about AI's potential in content creation, this position could be your ideal match! What you ll be doing: As a key member of their AI development team, you will: Design and develop state-of-the-art AI models for content generation and personalisation. Handle a variety of data types, ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models, including specialised techniques in Retrieval-Augmented Generation (RAG). Ensure high performance and scalability of AI solutions on cloud platforms like Azure and AWS. Research and integrate the latest AI advancements to keep their solutions at the industry's forefront. Work closely with cross-functional teams to deliver products that align with their strategic goals. What experience you ll need to apply: Bachelor s or Master s degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures, especially Azure or AWS. Prior involvement in content-driven AI projects. What you ll get in return for your experience: An attractive salary of £90k with flexible working arrangements, including hybrid options in London or remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are valued and encouraged. 12-month initial Fixed Term Contract with the possibility to extend. What's next? If you are eager to drive the next generation of AI in content creation and think you fit the bill, we would love to hear from you. Apply with and up-to-date CV and I will be in touch.
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks . Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most cri tical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team . The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage innovative approaches to problem-solving within the team. Wrangle and draw meaningful insights from massive amounts of unstructured email datasets using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply tested machine learning model techniques (Boosting/Bagging) to classify large amount of imbalanced labelled datasets Develop and implement advanced anomaly detection models and algorithms to identify unusual patterns, behaviors for detect ing email threats Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Brainstorm, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science research Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date and explore the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Experience leading multiple highly impactful machine learning projects with proven results In-depth experience with boosting machine learning frameworks for imbalanced classification task e.g., XGBoost or Catboost Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements . Prior experience in fraud detection, particularly in applying graph neural networks or other advanced machine learning algorithms to detect fraud is desirable In-depth experience with one or more deep neural network frameworks e.g., PyTorch , Tensorflow , JAX . Experience with PyTorch Geometric or DGL is a plus Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Great listening skills; open to input from other team members and departments Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, andthe people who work here are the key tooursuccess. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add ', and we strongly encourage people from all walks of life to apply . We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint has been honored with five Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams. Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
May 14, 2024
Full time
It's fun to work in a company where people truly BELIEVE in what they're doing! We're committed to bringing passion and customer focus to the business. Corporate Overview Proofpoint is a leading cybersecurity company protecting organisations' greatest assets and biggest risks: vulnerabilities in people. With an integrated suite of cloud-based solutions, Proofpoint helps companies around the world stop targeted threats, safeguard their data, and make their users more resilient against cyber-attacks . Leading organisations of all sizes, including more than half of the Fortune 1000, rely on Proofpoint for people-centric security and compliance solutions mitigating their most cri tical risks across email, the cloud, social media, and the web. We are singularly devoted to helping our customers protect their greatest assets and biggest security risk: their people. That is why we are a leader in next-generation cybersecurity. The Role Proofpoint is looking for a Senior Data Scientist to join our Algo team . The key responsibility for this role is to further enhance our email threat detection engine that protects some of the largest businesses in the world. You will collaborate cross-org with Product and Engineering and lead major initiatives end-to-end ensuring that we apply state-of-the-art machine learning tools and techniques to identify and solve the most impactful problems. You will also help promote machine learning best practices and encourage innovative approaches to problem-solving within the team. Wrangle and draw meaningful insights from massive amounts of unstructured email datasets using the latest tools and technologies like Spark, Iceberg, Athena, AWS SageMaker Apply tested machine learning model techniques (Boosting/Bagging) to classify large amount of imbalanced labelled datasets Develop and implement advanced anomaly detection models and algorithms to identify unusual patterns, behaviors for detect ing email threats Directly impact the effectiveness of our core products by training and deploying models to production using AWS SageMaker as the MLOps platform Brainstorm, communicate, and partner with Product and Engineering teams promoting a data-driven approach to identify focus areas for data science research Mentor data scientists, drive best practices and cultivate an environment of experimentation and learning Stay up-to-date and explore the latest advancements in machine learning, AI technologies, and incorporate them into our solutions where applicable What you bring to the team Experience leading multiple highly impactful machine learning projects with proven results In-depth experience with boosting machine learning frameworks for imbalanced classification task e.g., XGBoost or Catboost Conceptual understanding of Graph Neural Networks and experience applying GNNs to solve real world problem statements . Prior experience in fraud detection, particularly in applying graph neural networks or other advanced machine learning algorithms to detect fraud is desirable In-depth experience with one or more deep neural network frameworks e.g., PyTorch , Tensorflow , JAX . Experience with PyTorch Geometric or DGL is a plus Experience monitoring and maintaining performance of models over time in production taking into account model/data drifts A creative mindset, propensity to care deeply about the impact their team has and to encourage novel ways of critical thinking in their team Great listening skills; open to input from other team members and departments Why Proofpoint Protecting people is at the heart of our award-winning cybersecurity solutions, andthe people who work here are the key tooursuccess. We're a customer-focused and driven-to-win organisation with leading-edge products. We are an inclusive, diverse, multinational company that believes in culture fit, but more importantly 'culture-add ', and we strongly encourage people from all walks of life to apply . We believe in hiring the best and the brightest to help cultivate our culture of collaboration and appreciation. Apply today and explore your future at Proofpoint! If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Proofpoint Best Places to Work Awards Proofpoint has been honored with five Best Places to Work Awards in 2024 by workplace culture leader Comparably, including Best Company Outlook, Best Global Culture, Best Engineering Teams, Best Sales Teams, and Best HR Teams. Proofpoint thrives on the invaluable contributions of our diverse workforce, which encompasses a kaleidoscope of lived experiences, thoughts, perspectives, and professional expertise. We attribute much of our success to our people, who are at the core of our organization and embody our people-centric ethos. Disrupting the Status Quo We hire the most innovative minds globally to safeguard our customers' sensitive data and intellectual property. Our talented workforce develops and leverages our advanced technology, combining their expertise to provide comprehensive protection against threat actors and mitigate the risks posed by both malicious and negligent employees. Making a Difference Cyberattacks have the potential to disrupt access to vital resources such as energy, water, transportation, healthcare, and financial services. At Proofpoint, our dedicated team works tirelessly to ensure world-class cyber resilience, protecting approximately 8,000 enterprise customers worldwide. Our Commitment We are committed to creating a diverse, equitable, and inclusive environment. We work every day to ensure that our employees feel that they are in a community that celebrates their unique identity, cultivates their sense of belonging, and invests in their professional growth. We have 9 employee-led employee inclusion groups which help support both employees and our organization by providing opportunities to network, discuss career and cultural development and uplift the corporate culture to create a more inclusive workplace. About Us At Proofpoint, we have a passion for protecting people, data, and brands from today's advanced threats and compliance risks. We hire the best people in the business to: Build and enhance our proven security platform Blend innovation and speed in a constantly evolving cloud architecture Analyze new threats and offer deep insight through data-driven intel Collaborate with customers to help solve their toughest security challenges We are singularly devoted to helping our customers protect what matters most. That's why we're a leader in next-generation cybersecurity-and why more than half of the Fortune 100 trust us as a security partner. Proofpoint is an equal opportunity employer, we hire without consideration to race, religion, creed, color, national origin, age, gender, sexual orientation, marital status, veteran status or disability.
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform . Based in the vibrant heart of tech innovation, this team is dedicated to reshaping how content is created and consumed. This is an opportunity to influence the future of digital media, integrating cutting-edge AI technologies with human creativity to produce scalable and personalised content. If you thrive in dynamic, forward-thinking environments and are passionate about AI's potential in content creation, this position could be your ideal match! What you'll be doing: As a key member of their AI development team, you will: Design and develop state-of-the-art AI models for content generation and personalisation. Handle a variety of data types , ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models , including specialised techniques in Retrieval-Augmented Generation (RAG) . Ensure high performance and scalability of AI solutions on cloud platforms like Azure and AWS. Research and integrate the latest AI advancements to keep their solutions at the industry's forefront. Work closely with cross-functional teams to deliver products that align with their strategic goals. What experience you'll need to apply: Bachelor's or Master's degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures, especially Azure or AWS. Prior involvement in content-driven AI projects. What you'll get in return for your experience: An attractive salary of £90k with flexible working arrangements, including hybrid options in London or remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are valued and encouraged. 12-month initial Fixed Term Contrac t with the possibility to extend. What's next? If you are eager to drive the next generation of AI in content creation and think you fit the bill, we would love to hear from you. Apply with and up-to-date CV and I will be in touch.
May 14, 2024
Full time
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform . Based in the vibrant heart of tech innovation, this team is dedicated to reshaping how content is created and consumed. This is an opportunity to influence the future of digital media, integrating cutting-edge AI technologies with human creativity to produce scalable and personalised content. If you thrive in dynamic, forward-thinking environments and are passionate about AI's potential in content creation, this position could be your ideal match! What you'll be doing: As a key member of their AI development team, you will: Design and develop state-of-the-art AI models for content generation and personalisation. Handle a variety of data types , ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models , including specialised techniques in Retrieval-Augmented Generation (RAG) . Ensure high performance and scalability of AI solutions on cloud platforms like Azure and AWS. Research and integrate the latest AI advancements to keep their solutions at the industry's forefront. Work closely with cross-functional teams to deliver products that align with their strategic goals. What experience you'll need to apply: Bachelor's or Master's degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures, especially Azure or AWS. Prior involvement in content-driven AI projects. What you'll get in return for your experience: An attractive salary of £90k with flexible working arrangements, including hybrid options in London or remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are valued and encouraged. 12-month initial Fixed Term Contrac t with the possibility to extend. What's next? If you are eager to drive the next generation of AI in content creation and think you fit the bill, we would love to hear from you. Apply with and up-to-date CV and I will be in touch.
Senior Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are looking to be number 1 in the industry in the next 5 years.As a Machine Learning Engineer, you will play a critical role in architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users. Machine Learning Engineer Skills: Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning You should have at least 1 year of professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Nice to Haves: Experience with deployment, release cycles, or CI/CD, has experience monitoring models and algorithms in production, has experience with serverless architectures, AWS, and open-source contributions. You have a strong understanding of LLMs or training Deep Learning models Keen interest in health/fitness technologies is a big bonus! Machine Learning Engineer Role: As a Machine Learning Engineer, you will collaborate closely with coaches to deliver their expertise to users and use a data-led approach to influence algorithms.You will be part of a highly-skilled Cross-Functional Engineering Team, working closely with engineering, product, and coaching teams to shape the future of our platform. You should have a pragmatic mindset, strong communication and collaboration skills, and the confidence to work in a fast-paced, iterative environment with a highly-skilled engineering team. Machine Learning Engineer Benefits: Stock options Flexible working Regular salary reviews 33 days flexible holiday A workplace pension scheme Brand new Macbook, a running watch of your choice, and anything else you need to do your best work. Don't forget about the bi-weekly team run and lunch! Apply today for immediate consideration! Machine Learning Engineer - Health Tech Start Up
May 10, 2024
Full time
Senior Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are looking to be number 1 in the industry in the next 5 years.As a Machine Learning Engineer, you will play a critical role in architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users. Machine Learning Engineer Skills: Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning You should have at least 1 year of professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing, testing, and supporting Confident in working in a fast paced environment and looking to take ownership over features Machine Learning Engineer Nice to Haves: Experience with deployment, release cycles, or CI/CD, has experience monitoring models and algorithms in production, has experience with serverless architectures, AWS, and open-source contributions. You have a strong understanding of LLMs or training Deep Learning models Keen interest in health/fitness technologies is a big bonus! Machine Learning Engineer Role: As a Machine Learning Engineer, you will collaborate closely with coaches to deliver their expertise to users and use a data-led approach to influence algorithms.You will be part of a highly-skilled Cross-Functional Engineering Team, working closely with engineering, product, and coaching teams to shape the future of our platform. You should have a pragmatic mindset, strong communication and collaboration skills, and the confidence to work in a fast-paced, iterative environment with a highly-skilled engineering team. Machine Learning Engineer Benefits: Stock options Flexible working Regular salary reviews 33 days flexible holiday A workplace pension scheme Brand new Macbook, a running watch of your choice, and anything else you need to do your best work. Don't forget about the bi-weekly team run and lunch! Apply today for immediate consideration! Machine Learning Engineer - Health Tech Start Up
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
May 10, 2024
Full time
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
Aug 15, 2023
Full time
My Client are seeking a Senior Data Scientist to join the team on a permanent basis specialising in ontology, knowledge engineering, knowledge graphs, and more. This role is not for the faint-hearted but for those energised by challenges, inspired by innovation, and driven by real-world impact. The role can pay up to £80,000 per annum for the right person so please click apply if you feel the below suits your skill set: Qualifications: Education: MSc/PhD in Data Science, Computer Science, or related field Experience: 5-7 years of hands-on experience in the industrySkills: Deep knowledge in First-Order Logic, Descriptive Logic, Web Ontology Language (OWL) Proficiency in graph neural networks (GNN), network science, and semantic networks Mastery over task-specific finetuning, including data extraction, classification, and generation A comprehensive understanding of traditional statistics, Machine Learning (ML), and multi-objective optimisation techniques Excellent communication and written skills Passion for continuous learning and collaboration as a team player Tools: Python: Structured workflows using environments, Conda, Git, GitFlow, etc.Databases: Traditional (SQL) and Graph Databases (openCypher, Gremlin, SPARQL) Technologies: MLOps/LLMOps, Protege, Cloud environments (Azure/AWS)
Job Introduction BBC R&D has recently established an Automation Applied Research Area focussed on the use of Machine Learning across the BBC. Automation works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of Automation, this role will lead a team of experts exploring the ML platforms, tools, performance, and sustainability that will underpin the BBC's approach to Machine Learning innovation. It will ensure that best practice and correct technology choices are downstreamed into R&D ML applications as well as supporting the wider BBC in making the right strategic decisions for its future ML technology. BBC R&D has five applied research areas focussed on Audiences, Automation, Distribution, Infrastructure and Production who are looking to solve some of the most interesting challenges in Media and Broadcasting; as well as our Commercial, Partnerships & Engagement team who ensure we're collaborating with the right external partners and optimising commercial returns through the exploitation of our Intellectual Property and grant funding. Our work supports the BBC's current ambition as well as informing future strategy. If you're excited by the prospect of working in an innovative environment with smart and supportive colleagues, then BBC R&D is the place for you. Role Responsibility This is a hands-on role. Your key responsibilities will be: Build and lead a team of ML engineers to develop an infrastructure to manage ML lifecycle through experimentation, deployment, and testing. Own the Automation MLOps strategy, roadmap, and backlog. Provide leadership and guidance on the delivery of ML models from prototypes to production, mentor and coach team members on ML engineering best practises; work alongside researchers to enable BBC to benefit more rapidly from fundamental ML research. Contribute to the design of ML systems and infrastructure to shape how ML is used across the BBC. Develop relationships with pan-BBC and external contributors and stakeholders. You will need to bring to life long-term ambitions to secure required support and buy-in for tangible and intangible benefits and outcomes. Focus on ensuring our ML technology delivers on performance, cost and sustainability goals and is supportive of the BBC's responsible and ethical ML objectives. Work with our Technology Strategy and Governance team to identify and communicate strategic investment decisions required to mature the BBC's ML technology in line with business needs. Are you the right candidate? Solid understanding of machine learning concepts and algorithms Experience deploying machine learning solutions Expert knowledge of Python programming and machine learning libraries (Scikit-learn, TensorFlow, Keras, PyTorch, MxNet, etc.) Experience implementing ML automation, MLOps (scalable deployment practices aimed to deploy and maintain machine learning models in production reliably and efficiently) and related tools (e.g., MLflow, Kubeflow, Airflow, Sagemaker) Experience working in accordance with DevOps principles, and with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform) Experience in at least one cloud platform (e.g., AWS, GCP, Azure) and associated machine learning services, e.g., Amazon SageMaker, Azure ML, Databricks. Package Description Band: E Contract type: Permanent - Full time Location: UK wide We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Sep 23, 2022
Full time
Job Introduction BBC R&D has recently established an Automation Applied Research Area focussed on the use of Machine Learning across the BBC. Automation works closely with other BBC R&D Applied Research Areas, BBC Product and Technology Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of Automation, this role will lead a team of experts exploring the ML platforms, tools, performance, and sustainability that will underpin the BBC's approach to Machine Learning innovation. It will ensure that best practice and correct technology choices are downstreamed into R&D ML applications as well as supporting the wider BBC in making the right strategic decisions for its future ML technology. BBC R&D has five applied research areas focussed on Audiences, Automation, Distribution, Infrastructure and Production who are looking to solve some of the most interesting challenges in Media and Broadcasting; as well as our Commercial, Partnerships & Engagement team who ensure we're collaborating with the right external partners and optimising commercial returns through the exploitation of our Intellectual Property and grant funding. Our work supports the BBC's current ambition as well as informing future strategy. If you're excited by the prospect of working in an innovative environment with smart and supportive colleagues, then BBC R&D is the place for you. Role Responsibility This is a hands-on role. Your key responsibilities will be: Build and lead a team of ML engineers to develop an infrastructure to manage ML lifecycle through experimentation, deployment, and testing. Own the Automation MLOps strategy, roadmap, and backlog. Provide leadership and guidance on the delivery of ML models from prototypes to production, mentor and coach team members on ML engineering best practises; work alongside researchers to enable BBC to benefit more rapidly from fundamental ML research. Contribute to the design of ML systems and infrastructure to shape how ML is used across the BBC. Develop relationships with pan-BBC and external contributors and stakeholders. You will need to bring to life long-term ambitions to secure required support and buy-in for tangible and intangible benefits and outcomes. Focus on ensuring our ML technology delivers on performance, cost and sustainability goals and is supportive of the BBC's responsible and ethical ML objectives. Work with our Technology Strategy and Governance team to identify and communicate strategic investment decisions required to mature the BBC's ML technology in line with business needs. Are you the right candidate? Solid understanding of machine learning concepts and algorithms Experience deploying machine learning solutions Expert knowledge of Python programming and machine learning libraries (Scikit-learn, TensorFlow, Keras, PyTorch, MxNet, etc.) Experience implementing ML automation, MLOps (scalable deployment practices aimed to deploy and maintain machine learning models in production reliably and efficiently) and related tools (e.g., MLflow, Kubeflow, Airflow, Sagemaker) Experience working in accordance with DevOps principles, and with industry deployment best practices using CI/CD tools and infrastructure as code (e.g., Docker, Kubernetes, Terraform) Experience in at least one cloud platform (e.g., AWS, GCP, Azure) and associated machine learning services, e.g., Amazon SageMaker, Azure ML, Databricks. Package Description Band: E Contract type: Permanent - Full time Location: UK wide We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i About the BBC We don't focus simply on what we do - we also care how we do it. Our values and the way we behave are important to us. Please make sure you've read about our values and behaviours in the document attached below. Diversity matters at the BBC. We have a working environment where we value and respect every individual's unique contribution, enabling all of our employees to thrive and achieve their full potential. We want to attract the broadest range of talented people to be part of the BBC - whether that's to contribute to our programming or our wide range of non-production roles. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We are committed to equality of opportunity and welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio-economic background, religion and/or belief. We will consider flexible working requests for all roles, unless operational requirements prevent otherwise. To find out more about Diversity and Inclusion at the BBC, please click here
Robert Half have an exciting opportunity with a fast growing technology company in search of a MLOps Engineer to work alongside an established product and data team on creating robust frameworks and deploy machine learning models into production. My client is offering a great reward package, including: £60,000 to £80,000 experience dependant Remote working (offices in London and Edinburgh) Flexible working Annual success sharing bonus scheme No restriction on holiday allowance, trusted to manage workload and time Rewards scheme, pension scheme, cycle to work and much more The role includes: Sagemaker machine learning development pipelines Implementing monitoring and alerting for production model performance and accuracy Model optimization Deliver reusable software and modelling artefacts Continuous model training and deployment Collaborate with product managers, data scientists and engineering teams to integrate machine learning capabilities within the wider product offering The ideal candidate will have: Bachelor's degree or equivalent practical experience. Industry experience with machine learning pipelines Experience with kubernetes is a desirable Experience with one or more of Hive, Kafka, Impala or HDFS is also a desirable Working knowledge of AWS (Sage maker or cloudformation is desired) Proficiency with python and experience with ML frameworks such as PyTorch and TensorFlow The ability to forge strong relationships with clients and team members. Prove ability to deliver end-to-end solutions If you feel this role is for you, please apply and I'll be in touch with you in due course. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Where rates of pay or salary ranges are detailed these are dependent upon your experience, qualifications or training. If you wish to apply for this position please read our Privacy Notice which details how we may use, process, store and disclose your Personal Information: roberthalf.co.uk/privacy notice.
Nov 05, 2021
Full time
Robert Half have an exciting opportunity with a fast growing technology company in search of a MLOps Engineer to work alongside an established product and data team on creating robust frameworks and deploy machine learning models into production. My client is offering a great reward package, including: £60,000 to £80,000 experience dependant Remote working (offices in London and Edinburgh) Flexible working Annual success sharing bonus scheme No restriction on holiday allowance, trusted to manage workload and time Rewards scheme, pension scheme, cycle to work and much more The role includes: Sagemaker machine learning development pipelines Implementing monitoring and alerting for production model performance and accuracy Model optimization Deliver reusable software and modelling artefacts Continuous model training and deployment Collaborate with product managers, data scientists and engineering teams to integrate machine learning capabilities within the wider product offering The ideal candidate will have: Bachelor's degree or equivalent practical experience. Industry experience with machine learning pipelines Experience with kubernetes is a desirable Experience with one or more of Hive, Kafka, Impala or HDFS is also a desirable Working knowledge of AWS (Sage maker or cloudformation is desired) Proficiency with python and experience with ML frameworks such as PyTorch and TensorFlow The ability to forge strong relationships with clients and team members. Prove ability to deliver end-to-end solutions If you feel this role is for you, please apply and I'll be in touch with you in due course. Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to equal opportunity and diversity. Suitable candidates with equivalent qualifications and more or less experience can apply. Where rates of pay or salary ranges are detailed these are dependent upon your experience, qualifications or training. If you wish to apply for this position please read our Privacy Notice which details how we may use, process, store and disclose your Personal Information: roberthalf.co.uk/privacy notice.
Job description We currently have an opportunity for an Enterprise Data Architect to join our IT team in London. The Enterprise Data Architect will ensure A&O has focus on and maintains an enterprise data governance framework for data policies, standards, process and practices, across A&O, to achieve the required level of consistency and quality to meet A&O business needs. The role will be the custodian of data, setting the vision for A&O's use of data and will manage A&Os data catalogue to improve the quality and value of core data assets, respond to regulatory requirements as well as support strategic functional requirements. The role will manage the way that people and programs engage with data, ensuring that data can be turned into valuable insights that inform business decisions. The role holder will consistently communicate the business benefit of data standards and will champion and govern those standards across the firm. The role holder will ensure internal procedures keep pace with evolving data regulation and compliance. Role and responsibilities Manage and govern a unified view of A&O data, its data linage and provenance Govern and manage the A&O data catalogue across all data assets. Ensure data is discoverable, well understood, and trusted Drive innovation and growth through the use of data, unlocking data for insightful business decisions Help establish best practice, rules and ownership of A&Os taxonomy and ontology Build and maintain good working-relationships across A&Os Data Stewards to ensure internal stakeholders and leaders are informed and aligned Create a Data Governance and Quality function, including processes and tools to achieve A&Os data objectives Define a proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need Actively use the trends in data quality and data governance to drive positive change in people, process, technology and governance Develop and be responsible for the standards, policies and procedures for the on-going implementation of data governance Ensure alignment between data governance best practice, Data Privacy procedures and requirements and the IT Information Security strategy Work closely with and set direction for the Trusted Data Platform team, staying close to opportunities and challenges that exist within A&O, provide guidance on new products, approaches and supplier relationships that could impact data collection, processing and analytics Key requirements Business Competencies Aptitude for and experience of creating, managing, motivating and developing teams Commercial acumen including an understanding of the overall picture of how the IT service costs and value add to the business Excellent communication, interpersonal and influencing skills, including the ability to communicate both on technical and business levels. Excellent customer-facing skills with a good grasp of key drivers and requirements within the Business. High level of personal credibility, impact and influence with proven ability to work effectively and persuasively at all levels of the business Knowledge & Experience Knowledge and awareness of business and technology issues related to the management of enterprise wide data Expert level data modelling experience. Including a deep understanding of relational, taxonomical and ontological modelling approaches Strong recent experience of developing and managing an enterprise data catalogue Proven experience of developing and implementing a Data Governance Framework and a Data Quality Management service Keen eye for detail with a genuine interest in understanding the journey data takes throughout A&O Demonstrable experience in building, delivering and managing detailed data quality measurement frameworks Comfortable presenting complex data models, flows and relationships to non-data peers and colleagues An expert in information management practices including information lifecycle management, data profiling, master data management, data audits and requirements gathering Clear knowledge and experience relating to the application of data governance, data privacy and data ethics principles to support and drive data strategy Evidence of establishing governance processes, with engaged teams, leading and implementing enterprise-wide data governance and demonstrable improvements in data quality Preferable: Knowledge and experience relating to MLOps, testing and quality management Preferable: Experienced in managing, versioning and automating data and systems Preferable: Experience of unstructured and semi-structured data and associated processing approaches. NLP and Machine learning experience a distinct advantage. Preferable: Experienced at using relevant frameworks such as GDPR and other data privacy regulations to drive data governance ethics Preferable: Experience using automated approaches to manage and support data privacy compliance Is a collaborative team player fostering strong working relationships, with strong culture awareness Strong leadership and influencing skills; interacting with senior stakeholders; highly personable Strong ability to extract information by questioning, active listening and interviewing Results orientated to ensure change and delivery project metrics are meaningful and supported with robust business data Analytical with strong numeracy and good statistical skills Experience of working in Agile project environments Ability to work with technical, (developers, data engineers, data scientists) and nontechnical staff Allen & Overy LLP is committed to being an inclusive employer and we are happy to consider flexible working arrangements. Additional information - External It's Time Allen & Overy is a leading global law firm operating in over thirty countries. By turning our insight, technology and talent into ground-breaking solutions, we've earned a place at the forefront of our industry. Our lawyers are leaders in their field - and the same goes for our support teams. Ambitious, driven and open to fresh perspectives, we find innovative new ways to deliver our services and maintain our reputation for excellence, in all that we do. The nature of law is changing and with that change brings unique opportunities. With our collaborative working culture, flexibility, and a commitment to your progress, we build rewarding careers. By joining our global team, you are supported by colleagues from around the world. If you're ready for a new challenge, it's time to seize the opportunity.
Sep 15, 2021
Full time
Job description We currently have an opportunity for an Enterprise Data Architect to join our IT team in London. The Enterprise Data Architect will ensure A&O has focus on and maintains an enterprise data governance framework for data policies, standards, process and practices, across A&O, to achieve the required level of consistency and quality to meet A&O business needs. The role will be the custodian of data, setting the vision for A&O's use of data and will manage A&Os data catalogue to improve the quality and value of core data assets, respond to regulatory requirements as well as support strategic functional requirements. The role will manage the way that people and programs engage with data, ensuring that data can be turned into valuable insights that inform business decisions. The role holder will consistently communicate the business benefit of data standards and will champion and govern those standards across the firm. The role holder will ensure internal procedures keep pace with evolving data regulation and compliance. Role and responsibilities Manage and govern a unified view of A&O data, its data linage and provenance Govern and manage the A&O data catalogue across all data assets. Ensure data is discoverable, well understood, and trusted Drive innovation and growth through the use of data, unlocking data for insightful business decisions Help establish best practice, rules and ownership of A&Os taxonomy and ontology Build and maintain good working-relationships across A&Os Data Stewards to ensure internal stakeholders and leaders are informed and aligned Create a Data Governance and Quality function, including processes and tools to achieve A&Os data objectives Define a proactive approach to the management of data models, definitions, data governance, ethics and data processing rules to provide timely, appropriate, accurate and up-to-date information at the point of need Actively use the trends in data quality and data governance to drive positive change in people, process, technology and governance Develop and be responsible for the standards, policies and procedures for the on-going implementation of data governance Ensure alignment between data governance best practice, Data Privacy procedures and requirements and the IT Information Security strategy Work closely with and set direction for the Trusted Data Platform team, staying close to opportunities and challenges that exist within A&O, provide guidance on new products, approaches and supplier relationships that could impact data collection, processing and analytics Key requirements Business Competencies Aptitude for and experience of creating, managing, motivating and developing teams Commercial acumen including an understanding of the overall picture of how the IT service costs and value add to the business Excellent communication, interpersonal and influencing skills, including the ability to communicate both on technical and business levels. Excellent customer-facing skills with a good grasp of key drivers and requirements within the Business. High level of personal credibility, impact and influence with proven ability to work effectively and persuasively at all levels of the business Knowledge & Experience Knowledge and awareness of business and technology issues related to the management of enterprise wide data Expert level data modelling experience. Including a deep understanding of relational, taxonomical and ontological modelling approaches Strong recent experience of developing and managing an enterprise data catalogue Proven experience of developing and implementing a Data Governance Framework and a Data Quality Management service Keen eye for detail with a genuine interest in understanding the journey data takes throughout A&O Demonstrable experience in building, delivering and managing detailed data quality measurement frameworks Comfortable presenting complex data models, flows and relationships to non-data peers and colleagues An expert in information management practices including information lifecycle management, data profiling, master data management, data audits and requirements gathering Clear knowledge and experience relating to the application of data governance, data privacy and data ethics principles to support and drive data strategy Evidence of establishing governance processes, with engaged teams, leading and implementing enterprise-wide data governance and demonstrable improvements in data quality Preferable: Knowledge and experience relating to MLOps, testing and quality management Preferable: Experienced in managing, versioning and automating data and systems Preferable: Experience of unstructured and semi-structured data and associated processing approaches. NLP and Machine learning experience a distinct advantage. Preferable: Experienced at using relevant frameworks such as GDPR and other data privacy regulations to drive data governance ethics Preferable: Experience using automated approaches to manage and support data privacy compliance Is a collaborative team player fostering strong working relationships, with strong culture awareness Strong leadership and influencing skills; interacting with senior stakeholders; highly personable Strong ability to extract information by questioning, active listening and interviewing Results orientated to ensure change and delivery project metrics are meaningful and supported with robust business data Analytical with strong numeracy and good statistical skills Experience of working in Agile project environments Ability to work with technical, (developers, data engineers, data scientists) and nontechnical staff Allen & Overy LLP is committed to being an inclusive employer and we are happy to consider flexible working arrangements. Additional information - External It's Time Allen & Overy is a leading global law firm operating in over thirty countries. By turning our insight, technology and talent into ground-breaking solutions, we've earned a place at the forefront of our industry. Our lawyers are leaders in their field - and the same goes for our support teams. Ambitious, driven and open to fresh perspectives, we find innovative new ways to deliver our services and maintain our reputation for excellence, in all that we do. The nature of law is changing and with that change brings unique opportunities. With our collaborative working culture, flexibility, and a commitment to your progress, we build rewarding careers. By joining our global team, you are supported by colleagues from around the world. If you're ready for a new challenge, it's time to seize the opportunity.