Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Apr 11, 2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
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 Science - Business Manager/ Data Science/ Machine Learning Engineer/ CRM/ Data Science/ Stafford/ Stone/ Stoke-on-Trent/ Burton-on-Trent/ Cannock - 45,000 - 55,000 My client is hiring for a new Data Science and Business Manager. Your role will be to lead profitable growth in the business of Materials Science. If you have experience working as a Business/Commercial Manager in a Materials Science position, then this role could be for you. Requirements: Ph.D. or Master's degree in Data Science, Materials Science, or a related field. Must have experience in Materials Science Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using Python or R would be Responsibilities: Lead on projects that involve computational modelling and data analytics with a focus on Materials Science Design and execute commercial vision driven by data for our Computational Modelling and Data Science Team. Build and maintain strong relationships with customers and collaborators Familiarity with materials manufacturing processes and characterisation techniques Collaborate with team members along with communicating to the relevant stakeholders on technical matters Data Scientist- Business Manager/ Machine Learning Engineer/ CRM/ Data Science/ Stafford/ Stone/ Stoke-on-Trent/ Burton-on-Trent/ Cannock - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Apr 29, 2024
Full time
Data Science - Business Manager/ Data Science/ Machine Learning Engineer/ CRM/ Data Science/ Stafford/ Stone/ Stoke-on-Trent/ Burton-on-Trent/ Cannock - 45,000 - 55,000 My client is hiring for a new Data Science and Business Manager. Your role will be to lead profitable growth in the business of Materials Science. If you have experience working as a Business/Commercial Manager in a Materials Science position, then this role could be for you. Requirements: Ph.D. or Master's degree in Data Science, Materials Science, or a related field. Must have experience in Materials Science Proven track record in computational modelling & or statistical analysis, and Machine Learning Having a working knowledge of using Python or R would be Responsibilities: Lead on projects that involve computational modelling and data analytics with a focus on Materials Science Design and execute commercial vision driven by data for our Computational Modelling and Data Science Team. Build and maintain strong relationships with customers and collaborators Familiarity with materials manufacturing processes and characterisation techniques Collaborate with team members along with communicating to the relevant stakeholders on technical matters Data Scientist- Business Manager/ Machine Learning Engineer/ CRM/ Data Science/ Stafford/ Stone/ Stoke-on-Trent/ Burton-on-Trent/ Cannock - 45,000 - 55,000 Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.
Spectrum IT Recruitment (South) Ltd
Bracknell, Berkshire
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (see below) or call. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Apr 29, 2024
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (see below) or call. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Apr 29, 2024
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact (url removed) or call (phone number removed). Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Lead Front End Developer (JavaScript, TypeScript, React) - New ML/AI Platform Join a dynamic Data organization in Sheffield seeking a skilled Lead Front End Developer (JavaScript, TypeScript, React) to spearhead the development of their cutting-edge AI/ML Data platform. As the Lead Developer, you'll play a pivotal role in crafting and expanding modern web applications. Your responsibilities will encompass shaping the technical vision and strategy for web app development. Leading and motivating a team of software engineers will be central, offering technical mentorship and nurturing a culture of continual advancement. This is a hybrid role, with a requirement for 2 days per week onsite in Sheffield. Requirements: Proficiency in JavaScript, TypeScript, and React for developing intricate web applications Strong grasp of software engineering principles and expertise across the entire SDLC Proven experience in leading software engineering teams Familiarity with small team dynamics or startup environments Passion for collaborating closely with Artificial Intelligence and Machine Learning technologies With the organisation poised for rapid expansion, this is an exciting opportunity to grow alongside them. If you're ready to embark on this journey, apply now for further details and a confidential discussion.
Apr 29, 2024
Full time
Lead Front End Developer (JavaScript, TypeScript, React) - New ML/AI Platform Join a dynamic Data organization in Sheffield seeking a skilled Lead Front End Developer (JavaScript, TypeScript, React) to spearhead the development of their cutting-edge AI/ML Data platform. As the Lead Developer, you'll play a pivotal role in crafting and expanding modern web applications. Your responsibilities will encompass shaping the technical vision and strategy for web app development. Leading and motivating a team of software engineers will be central, offering technical mentorship and nurturing a culture of continual advancement. This is a hybrid role, with a requirement for 2 days per week onsite in Sheffield. Requirements: Proficiency in JavaScript, TypeScript, and React for developing intricate web applications Strong grasp of software engineering principles and expertise across the entire SDLC Proven experience in leading software engineering teams Familiarity with small team dynamics or startup environments Passion for collaborating closely with Artificial Intelligence and Machine Learning technologies With the organisation poised for rapid expansion, this is an exciting opportunity to grow alongside them. If you're ready to embark on this journey, apply now for further details and a confidential discussion.
Do you enjoy working in an R&D Environment? Would like to work in area where science and coding collide? Would you like to work at company that offers chance to further develop programming skills but also deepen knowledge mathematics, physics or engineering? Then you may want to get in touch for more detail on this opportunity. About the Role Opportunity for experienced Software Engineer used to working in R&D type environment. You will be working on complex and scientific software for a broad range of worldwide clients from Edinburgh based development team. You will use your analytical and problem solving nature to get involved in such activities as; software coding, interface design and database development. Experience Required Advanced degree in Computer Science, Engineering, Physical Science or Mathematics Programming experience in suitable language including: C, C++, Fortran All candidates must display excellent numerical, problem solving, and organisational skills Additional skills in any of the following also beneficial C#, WinForms, WPF, Qt/QML framework, HTML5, experience with algorithmic problems (OpenCL, CUDA), Machine learning and AI, OpenGL, OpenGL Shaders, VTK, OSG, Vulkan, JIRA, TestRail, TFS, Git, Jenkins, csh/bash, batch files, cmake, PowerShell. About the Company Award winning and market leading engineering company which develops a set of software tools used by clients worldwide. Well established and successful they are looking to add to team of very talented professionals to keep moving forward. Apply Please apply online or send your CV directly to Chris Devine. If you have additional questions and wish to have a confidential discussion about this opportunity, feel free to give Chris a call on (phone number removed).
Apr 29, 2024
Full time
Do you enjoy working in an R&D Environment? Would like to work in area where science and coding collide? Would you like to work at company that offers chance to further develop programming skills but also deepen knowledge mathematics, physics or engineering? Then you may want to get in touch for more detail on this opportunity. About the Role Opportunity for experienced Software Engineer used to working in R&D type environment. You will be working on complex and scientific software for a broad range of worldwide clients from Edinburgh based development team. You will use your analytical and problem solving nature to get involved in such activities as; software coding, interface design and database development. Experience Required Advanced degree in Computer Science, Engineering, Physical Science or Mathematics Programming experience in suitable language including: C, C++, Fortran All candidates must display excellent numerical, problem solving, and organisational skills Additional skills in any of the following also beneficial C#, WinForms, WPF, Qt/QML framework, HTML5, experience with algorithmic problems (OpenCL, CUDA), Machine learning and AI, OpenGL, OpenGL Shaders, VTK, OSG, Vulkan, JIRA, TestRail, TFS, Git, Jenkins, csh/bash, batch files, cmake, PowerShell. About the Company Award winning and market leading engineering company which develops a set of software tools used by clients worldwide. Well established and successful they are looking to add to team of very talented professionals to keep moving forward. Apply Please apply online or send your CV directly to Chris Devine. If you have additional questions and wish to have a confidential discussion about this opportunity, feel free to give Chris a call on (phone number removed).
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) Publication track records in top tier Computing/NLP/AI/ML conferences or journals Passionate about data and machine learning Programming experience in Python, R, C, or C++ Software engineering background, e.g., you have a Computer Science background, or software engineering working experience Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
Apr 29, 2024
Full time
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) Publication track records in top tier Computing/NLP/AI/ML conferences or journals Passionate about data and machine learning Programming experience in Python, R, C, or C++ Software engineering background, e.g., you have a Computer Science background, or software engineering working experience Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
Site Name: London The Stanley Building Posted Date: Mar 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: Monday 8th April 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 Us? 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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. 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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Apr 29, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar 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: Monday 8th April 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 Us? 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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. 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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Apr 29, 2024
Full time
Join us on an extraordinary journey as we continue our remarkable growth. We're seeking a Lead Data Scientist to provide leadership within our Data department. This pivotal role involves guiding our Data Scientists and enhancing our data science capabilities. Lead Data Scientist Location: Tyne & Wear Office requirements: Hybrid / 2-3 days per week Salary: £85,000 - £100,000 Day to Day of the role: Lead and nurture a team of data scientists, fostering a culture of collaboration and innovation. Oversee the integration of data science projects into business processes to improve decision-making and operational efficiency. Engage with senior stakeholders to understand their needs and deliver impactful data-driven insights. Collaborate with other teams to make data science capabilities accessible across the organisation. Work closely with the data engineering team to ensure data requirements for projects are met. Required Skills & Qualifications: Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. Knowledge of industry standards like CRISP-DM. Experience in iGaming or online betting is a plus but not essential. Benefits: Competitive salary with quarterly bonus. Company merchandise and free meals in the office. Private healthcare and hybrid working options. A culture that supports inclusivity, flexibility, personal development, and mental wellbeing. To apply for the Lead Data Scientist position, please submit your CV and cover letter detailing your relevant experience.
Data Scientist - Cross Asset - Quant Trading Firm A leading Quant Trading firm are looking to hire a Data Scientist within their Cross Asset Data Quant team. You'd be collaborating directly with Quant Researchers and Data Engineering teams, working directly with Machine Learning and Statistical Methods to evaluate new datasets. Your remit will also include working across the full data science suite, working across data exploration and acquisition, utilising methods like NLP. They are looking for someone with: Very strong Python experience A strong mathematic background A background in NLP Knowledge of Data Manipulation and Exploration in a Quantitative Setting Experience working in a Front Office environment If this sounds like a great fit, please apply through this advert.
Apr 29, 2024
Full time
Data Scientist - Cross Asset - Quant Trading Firm A leading Quant Trading firm are looking to hire a Data Scientist within their Cross Asset Data Quant team. You'd be collaborating directly with Quant Researchers and Data Engineering teams, working directly with Machine Learning and Statistical Methods to evaluate new datasets. Your remit will also include working across the full data science suite, working across data exploration and acquisition, utilising methods like NLP. They are looking for someone with: Very strong Python experience A strong mathematic background A background in NLP Knowledge of Data Manipulation and Exploration in a Quantitative Setting Experience working in a Front Office environment If this sounds like a great fit, please apply through this advert.
Salary 45,000 - 55,000 GBP per year Requirements: - • Microsoft Certifications such as: AZ-104 • At least 2 years of IT technical experience, ideally in a consultancy capacity • Excellent written and spoken English skills are vital for compiling high-quality reports and liaising with clients • Experience in PaaS and IaaS cloud infrastructure solutions • Experience in Infrastructure Automation and configuration management Responsibilities: - • Develop infrastructure automation, including CI/CD pipelines using Azure Cloud, Azure Devops, IAAS (terraform), Azure pipelines and Powershell • Provide technical guidance and encourage customers and co-workers to follow the DevOps culture • Provide Support and Client Facing Consultancy around data security, networking, databases, virtualisation, hosting, and other areas of infrastructure • Act as a 3rd line escalation point for Service Desk, including incident management and liaison with clients • System troubleshooting and problem solving across cloud platforms and tech stacks • Deploy and manage hosted platforms to deliver customer solutions • Provide leadership for multiple client projects across product portfolio ensuring timely updates and delivery of committed tasks • Produce IT infrastructure policy documentation, implementation, and governance • Ensure that all system changes follow company change management processes Technologies: - ARM - Active Directory - Azure - DevOps - Docker - FortiGate - IT Support - JSON - Kubernetes - Linux - Load Balancing - Machine Learning - Network - Office 365 - Power BI - System Engineer - Terraform - Veeam More: Comtact is a well-established technology company focused on delivering cutting edge Cyber Security and Cloud Managed Services to some of the UK's best-known mid-market companies. Founded by serial entrepreneur Dominic List, the company's agility and customer focus is key to its success. As a Cloud Infrastructure Engineer you'll be working primarily within Azure based environments for multiple mid to enterprise organisations. The role includes third-line support requirements along with project work configuring, deploying, monitoring, diagnosing, and troubleshooting both on-premises and cloud-based customer Infrastructures, Networks, Servers and Desktop environments.
Apr 29, 2024
Full time
Salary 45,000 - 55,000 GBP per year Requirements: - • Microsoft Certifications such as: AZ-104 • At least 2 years of IT technical experience, ideally in a consultancy capacity • Excellent written and spoken English skills are vital for compiling high-quality reports and liaising with clients • Experience in PaaS and IaaS cloud infrastructure solutions • Experience in Infrastructure Automation and configuration management Responsibilities: - • Develop infrastructure automation, including CI/CD pipelines using Azure Cloud, Azure Devops, IAAS (terraform), Azure pipelines and Powershell • Provide technical guidance and encourage customers and co-workers to follow the DevOps culture • Provide Support and Client Facing Consultancy around data security, networking, databases, virtualisation, hosting, and other areas of infrastructure • Act as a 3rd line escalation point for Service Desk, including incident management and liaison with clients • System troubleshooting and problem solving across cloud platforms and tech stacks • Deploy and manage hosted platforms to deliver customer solutions • Provide leadership for multiple client projects across product portfolio ensuring timely updates and delivery of committed tasks • Produce IT infrastructure policy documentation, implementation, and governance • Ensure that all system changes follow company change management processes Technologies: - ARM - Active Directory - Azure - DevOps - Docker - FortiGate - IT Support - JSON - Kubernetes - Linux - Load Balancing - Machine Learning - Network - Office 365 - Power BI - System Engineer - Terraform - Veeam More: Comtact is a well-established technology company focused on delivering cutting edge Cyber Security and Cloud Managed Services to some of the UK's best-known mid-market companies. Founded by serial entrepreneur Dominic List, the company's agility and customer focus is key to its success. As a Cloud Infrastructure Engineer you'll be working primarily within Azure based environments for multiple mid to enterprise organisations. The role includes third-line support requirements along with project work configuring, deploying, monitoring, diagnosing, and troubleshooting both on-premises and cloud-based customer Infrastructures, Networks, Servers and Desktop environments.
Minimum qualifications Bachelor's degree in Computer Science, Software Engineering or other Quantitative field (e.g. Physics, Mathematics, Statistics) or equivalent practical experience. 4 years of experience in Machine Learning, NLP or other applied AI. Experience in coding, unitest and scripting in one or more languages (Python, C, C++ or Go). Preferred qualifications Experience with deep learning frameworks (such as TensorFlow, PyTorch, transformers). Experience with model training/deployment frameworks, e.g., mlfow, triton inference server, torch server or text generation inference. Experience in delivering complex Artificial Intelligence (AI) or data analytics projects. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, transform, and load (ETL) and reporting/analytic tools and environments such as Apache Beam, Hadoop, Spark. Demonstrated ability to translate business problems in AI projects. Excellent communication skills. Responsibilities Develop and fine-tune machine learning models, craft analytical pipelines, and orchestrate their integration into high-capacity production environments. Foster productive cross-functional communication with Product teams, actively proposing AI-driven enhancements for novel product features. Execute rigorous technical assessments, perform thorough code audits, and lead design reviews to ensure the highest standard of quality and performance. Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimisation. About The Job Toggle's software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market. Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design - the range continues to expand constantly. As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will document, design, secure, maintain, and enhance software solutions. Toggle aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce, but also results in the development of superior products and services. At its core, Toggle embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology's most significant hurdles and leave a mark on global users. Within Toggle, engineers not only pioneer advancements in the investment space, but they also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers. Notice Toggle does not accept agency resumes. Please do not forward resumes to our jobs alias, Toggle employees or any other organization location. Toggle is not responsible for any fees related to unsolicited resumes
Apr 29, 2024
Full time
Minimum qualifications Bachelor's degree in Computer Science, Software Engineering or other Quantitative field (e.g. Physics, Mathematics, Statistics) or equivalent practical experience. 4 years of experience in Machine Learning, NLP or other applied AI. Experience in coding, unitest and scripting in one or more languages (Python, C, C++ or Go). Preferred qualifications Experience with deep learning frameworks (such as TensorFlow, PyTorch, transformers). Experience with model training/deployment frameworks, e.g., mlfow, triton inference server, torch server or text generation inference. Experience in delivering complex Artificial Intelligence (AI) or data analytics projects. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, transform, and load (ETL) and reporting/analytic tools and environments such as Apache Beam, Hadoop, Spark. Demonstrated ability to translate business problems in AI projects. Excellent communication skills. Responsibilities Develop and fine-tune machine learning models, craft analytical pipelines, and orchestrate their integration into high-capacity production environments. Foster productive cross-functional communication with Product teams, actively proposing AI-driven enhancements for novel product features. Execute rigorous technical assessments, perform thorough code audits, and lead design reviews to ensure the highest standard of quality and performance. Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimisation. About The Job Toggle's software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market. Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design - the range continues to expand constantly. As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will document, design, secure, maintain, and enhance software solutions. Toggle aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce, but also results in the development of superior products and services. At its core, Toggle embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology's most significant hurdles and leave a mark on global users. Within Toggle, engineers not only pioneer advancements in the investment space, but they also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers. Notice Toggle does not accept agency resumes. Please do not forward resumes to our jobs alias, Toggle employees or any other organization location. Toggle is not responsible for any fees related to unsolicited resumes
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring. Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines. Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph. Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science. Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci. Participate in and sometimes lead various agile rituals and related practices. You Have: Minimum 5, ideally 8+ years of experience working as an ML engineer. Minimum 1, ideally 3+ years technical leadership experience, including leading 5-10 ICs technically on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area.A proven track record of delivering complex ML projects working alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of successfully delivering robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you. You have experience working in cross-functional teams with product managers, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team. Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders. A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
Apr 28, 2024
Full time
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring. Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines. Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph. Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science. Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci. Participate in and sometimes lead various agile rituals and related practices. You Have: Minimum 5, ideally 8+ years of experience working as an ML engineer. Minimum 1, ideally 3+ years technical leadership experience, including leading 5-10 ICs technically on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area.A proven track record of delivering complex ML projects working alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of successfully delivering robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you. You have experience working in cross-functional teams with product managers, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team. Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders. A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. Based in London, the company was founded by William Tunstall-Pedoe , best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012. This is a key opportunity to join us as the second Frontend Engineer in the company, make a significant impact on the business and help define the future of our product. As a key member of the team, you will also play a vital role in leading the frontend stack and architecture. Your main responsibilities will be to take ownership of frontend development, optimise user experience and collaborate with cross-functional teams, including our Product Manager, UX designer and backend developers. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Required: Exceptional coding ability Degree within a related field - Computer Science, Engineering, Physics, Maths or equivalent 4+ years of commercial experience in software engineering (Preferably Front End focused) Experience and ability coding in Typescript and React Desire to solve really difficult software engineering problems Understanding of modern best practices for agile software development Understanding of the architectural techniques needed to build massively scalable systems Desirable but not required: Ability or desire to learn and code in Java Experience with AWS and building scalable systems within it Understanding of state-of-the-art in Artificial Intelligence Understanding of modern machine learning techniques Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
Apr 28, 2024
Full time
Unlikely AI is a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy and safe. Based in London, the company was founded by William Tunstall-Pedoe , best known for his key role in the creation of Alexa following the acquisition of his first start-up by Amazon in 2012. This is a key opportunity to join us as the second Frontend Engineer in the company, make a significant impact on the business and help define the future of our product. As a key member of the team, you will also play a vital role in leading the frontend stack and architecture. Your main responsibilities will be to take ownership of frontend development, optimise user experience and collaborate with cross-functional teams, including our Product Manager, UX designer and backend developers. Please see our Company Principles to understand the core things we value - in particular, we are looking for exceptional people who are willing to tackle some of the most difficult technical problems there are, in order to create something extraordinary with huge impact. Required: Exceptional coding ability Degree within a related field - Computer Science, Engineering, Physics, Maths or equivalent 4+ years of commercial experience in software engineering (Preferably Front End focused) Experience and ability coding in Typescript and React Desire to solve really difficult software engineering problems Understanding of modern best practices for agile software development Understanding of the architectural techniques needed to build massively scalable systems Desirable but not required: Ability or desire to learn and code in Java Experience with AWS and building scalable systems within it Understanding of state-of-the-art in Artificial Intelligence Understanding of modern machine learning techniques Location: We are currently operating a hybrid scheme with a small office near Holborn tube station available to anyone who wants to work there. We also have occasional team days where everyone meets face to face and days where people work heads down from home, communicating with colleagues using Slack and Zoom. Equal Opportunities: We are committed to having a truly diverse team where everyone is encouraged to be their authentic selves. We, therefore, do not discriminate in employment based on gender, race, religion, sexual orientation, national origin, political affiliation, disability, age, marital status, medical history, parental status or genetic information. Having a broad mix of people helps us to be the best we can.
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally. What we do Our Software Engineers are end-to-end owners who will participate in all aspects of designing, building, and delivering data-focused products for our stakeholders. At The Trade Desk we believe that each opportunity to engage with all internal and external stakeholders, is unique. This means you will have the opportunity, based on your interests and background, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, andinteractive user interfaces- to name a few. Our system performs all day, every day serving global traffic. It's important we focus on quality at scale in an agile environment that is based on collaboration, ownership, and trust. Our software engineering teams fully own their charter to work on long term roadmaps while enhancing existing features or tools and continuously gaining efficiency. What you'll do: Some of the work that you will be doing to help us deliver on our mission is: Design, build, deliver and own full lifecycle development software from inception to production Demonstrate a firm grasp of the entire software development lifecycle Drive complex changes involving multiple components Deliver quality changes, including automated tests, metrics and monitoring Collaborate with team members to deliver features Guide and review changes to product features in line with product roadmaps Implement and maintain product features Build components and processes that are regularly used by others Build execution plans incorporating user data, observations and market insight Validate changes to ensure high quality product releases Work in a distributed system environment Understand the business objectives behind the code Understand system architecture fundamentals through self-directed learning Participate in and lead projects with a high level of technical ambiguity Contribute to development of comprehensive success criteria Lead others through example, mentorship, teaching Participate in hiring activities Use data to analyze and communicate the impact of your work on operational efficiency We are a global team with different backgrounds, experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity. Who you are: Our culture is much deeper than just having fun together (though, we do that well too ). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role: You are you comfortable working on an agile, distributed team spanning multiple time zones and continents. You are able to communicate effectively across both technical and non-technical audiences. You have a solid understanding of computer science and engineering fundamentals. You have experiences working with distributed systems. You are proficient in one or more of the following programming languages: C#, Java, C, C++, Python, SQL, or Scala. You have some knowledge of software development code editors: Visual Studio, Visual Studio Code, Rider) and version control systems (Git, Perforce). You have a Bachelor's/Master's level degree in a computer-science or relevant engineering related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have. Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job.What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked. The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
Apr 28, 2024
Full time
The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, our platform operates at an unprecedented scale. We have also built something even stronger and more valuable: an award-winning culture based on trust, ownership, empathy, and collaboration. We value the unique experiences and perspectives that each person brings to The Trade Desk, and we are committed to fostering inclusive spaces where everyone can bring their authentic selves to work every day. Do you have a passion for solving hard problems at scale? Are you eager to join a dynamic, globally- connected team where your contributions will make a meaningful difference in building a better media ecosystem? Come and see why Fortune magazine consistently ranks The Trade Desk among the best small- to medium-sized workplaces globally. What we do Our Software Engineers are end-to-end owners who will participate in all aspects of designing, building, and delivering data-focused products for our stakeholders. At The Trade Desk we believe that each opportunity to engage with all internal and external stakeholders, is unique. This means you will have the opportunity, based on your interests and background, to work on large-scale distributed systems coordinating thousands of servers in cloud and physical data centers around the world, petabyte-scale data challenges, machine learning, advanced visualizations, andinteractive user interfaces- to name a few. Our system performs all day, every day serving global traffic. It's important we focus on quality at scale in an agile environment that is based on collaboration, ownership, and trust. Our software engineering teams fully own their charter to work on long term roadmaps while enhancing existing features or tools and continuously gaining efficiency. What you'll do: Some of the work that you will be doing to help us deliver on our mission is: Design, build, deliver and own full lifecycle development software from inception to production Demonstrate a firm grasp of the entire software development lifecycle Drive complex changes involving multiple components Deliver quality changes, including automated tests, metrics and monitoring Collaborate with team members to deliver features Guide and review changes to product features in line with product roadmaps Implement and maintain product features Build components and processes that are regularly used by others Build execution plans incorporating user data, observations and market insight Validate changes to ensure high quality product releases Work in a distributed system environment Understand the business objectives behind the code Understand system architecture fundamentals through self-directed learning Participate in and lead projects with a high level of technical ambiguity Contribute to development of comprehensive success criteria Lead others through example, mentorship, teaching Participate in hiring activities Use data to analyze and communicate the impact of your work on operational efficiency We are a global team with different backgrounds, experiences and perspectives. To complement this team, you will welcome ideas that are different from your own and be well-versed in building from common ground to value, seek out, and foster invisible and visible dimensions of diversity. Who you are: Our culture is much deeper than just having fun together (though, we do that well too ). We take pride in our engineers being trust-builders, generous givers, scrappy problem solvers, and gritty pursuers of excellence. You do not have to meet all the requirements below, but we believe that people who meet most of them will have a higher likelihood of succeeding in this role: You are you comfortable working on an agile, distributed team spanning multiple time zones and continents. You are able to communicate effectively across both technical and non-technical audiences. You have a solid understanding of computer science and engineering fundamentals. You have experiences working with distributed systems. You are proficient in one or more of the following programming languages: C#, Java, C, C++, Python, SQL, or Scala. You have some knowledge of software development code editors: Visual Studio, Visual Studio Code, Rider) and version control systems (Git, Perforce). You have a Bachelor's/Master's level degree in a computer-science or relevant engineering related field or equivalent experience. Not everyone has the same level of access to opportunities. What is most important to us is what and how you can contribute, which is why our consideration is not limited by the level of education you have. Variety of technical opportunity is one of the best things about working at The Trade Desk as a software engineer which is why we do not expect you to know every technology we use when you start. What we care about is that you can learn quickly and find solutions to complex problems using the optimum tools for the job.What you know is less important than how well you learn and innovate. We don't need engineers who know all the answers; we need engineers who can invent the answers no one has thought of yet, to the questions yet to be asked. The Trade Desk does not accept unsolicited resumes from search firm recruiters. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of The Trade Desk. The Trade Desk is an equal opportunity employer. All aspects of employment will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, state, or local law.
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
Apr 28, 2024
Full time
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
Azure AI Solutions Architect Level: Senior Department: Azure Location: Virtual Office in UK (US Based with clients in UK) 100% REMOTE Type: FTE or Contract Pay Range: Based on experience level GENERAL DESCRIPTION & RESPONSIBILITIES The Azure AI Solution Architect will lead the creation of high-value data driven solutions leveraging Cyclotron's proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron's sales, service delivery and project management organizations in service to Cyclotron's clients. The ideal candidate will have extensive Microsoft/Azure data services and Azure OpenAI technology experience. The role requires a combination of technical expertise, leadership skills and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in leading and managing teams, especially in the AI consulting domain. Strategic thinking and the ability to align AI initiatives with overall business goals. Effective communication and collaboration skills to work with cross-functional teams and clients. Project Management: Experience in successfully managing AI projects from conception to delivery. Familiarity with project management methodologies, such as Agile or Scrum. Client Relationship Management: Ability to understand client needs and deliver AI solutions that meet their requirements. Strong interpersonal skills to build and maintain client relationships. Problem-Solving and Analytical Skills: Critical thinking and problem-solving skills to address complex AI challenges. Analytical mindset for data-driven decision-making. Innovation and Adaptability: A forward-thinking mindset with a focus on innovation in AI technologies. Ability to adapt to evolving industry trends and incorporate new technologies into consulting services. Educational Background: A relevant educational background, such as a degree in computer science, data science, or a related field. Certifications in Microsoft AI technologies can be advantageous. Team Collaboration: Ability to foster a collaborative and inclusive team culture. Experience in mentoring and developing team members. Ethical Considerations: Awareness of ethical considerations in AI and a commitment to responsible AI practices. Results-Oriented: A track record of delivering successful AI projects on time and within budget. Metrics-driven approach to measure the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able to interpret business requirements into functional and then technical requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft's Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning models Experience developing and implementing Retrieval Augmented Generation (RAG) Information Architecture Data Modeling principles for relational and dimensional data structures Data Lake design principles, Data Virtualization Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics Experience with following languages: Python, R, Scala, SQL, M Experience in multidimensional and / or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance - (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake, Synapse Spark SQL, Pyspark Azure Data Explorer Logic Apps, Key Vault Semi structured data processing Integration Runtime Coding experience: Python, C#, Java for Data analysis purpose One of the following certifications: Azure AI Engineer Associate Azure Fundamentals AI-900 Azure AI Fundamentals Azure Data Scientist Associate Azure Machine Learning Specialty Information Architecture Data Stewardship, Ownership and Quality Management principles Data Governance, Data Catalog, Enterprise Information Management NON-TECHNICAL SKILLS Business Engagement Demonstrated Experience Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle Leading customers through a value-based decision-making cycle Developing functional, non-functional and technical requirements based on business imperatives Presenting to customer executive teams with authority and purpose CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
Apr 28, 2024
Full time
Azure AI Solutions Architect Level: Senior Department: Azure Location: Virtual Office in UK (US Based with clients in UK) 100% REMOTE Type: FTE or Contract Pay Range: Based on experience level GENERAL DESCRIPTION & RESPONSIBILITIES The Azure AI Solution Architect will lead the creation of high-value data driven solutions leveraging Cyclotron's proven implementation methodology and solutions for enterprise projects, as well as contributing to technical pre-sales activities as required. You will be responsible for designing solution architecture, requirement definition, and leading the project delivery team. You will have the opportunity to work with and learn the latest cloud solutions in an exciting work environment. This position will work collaboratively across all Cyclotron's sales, service delivery and project management organizations in service to Cyclotron's clients. The ideal candidate will have extensive Microsoft/Azure data services and Azure OpenAI technology experience. The role requires a combination of technical expertise, leadership skills and industry knowledge. Candidates will be expected to contribute to all stages of the data lifecycle. Technical Proficiency: Strong background in artificial intelligence, machine learning, and data science. Proficiency in Microsoft AI technologies, including Azure Machine Learning, Azure Cognitive Services, and related tools. Leadership Skills: Proven experience in leading and managing teams, especially in the AI consulting domain. Strategic thinking and the ability to align AI initiatives with overall business goals. Effective communication and collaboration skills to work with cross-functional teams and clients. Project Management: Experience in successfully managing AI projects from conception to delivery. Familiarity with project management methodologies, such as Agile or Scrum. Client Relationship Management: Ability to understand client needs and deliver AI solutions that meet their requirements. Strong interpersonal skills to build and maintain client relationships. Problem-Solving and Analytical Skills: Critical thinking and problem-solving skills to address complex AI challenges. Analytical mindset for data-driven decision-making. Innovation and Adaptability: A forward-thinking mindset with a focus on innovation in AI technologies. Ability to adapt to evolving industry trends and incorporate new technologies into consulting services. Educational Background: A relevant educational background, such as a degree in computer science, data science, or a related field. Certifications in Microsoft AI technologies can be advantageous. Team Collaboration: Ability to foster a collaborative and inclusive team culture. Experience in mentoring and developing team members. Ethical Considerations: Awareness of ethical considerations in AI and a commitment to responsible AI practices. Results-Oriented: A track record of delivering successful AI projects on time and within budget. Metrics-driven approach to measure the impact of AI solutions. PLACEMENT CRITERIA & REQUIREMENTS Background in statistics and data science 8+ years data engineering delivery experience Strong understanding of ML algorithms, statistical modeling, and data science principles Experience in developing and deploying machine learning models using Microsoft ML Current Microsoft and/or Databricks certifications TECHNICAL SKILLS REQUIRED General Architecture In-depth knowledge of Azure OpenAI Being able to interpret business requirements into functional and then technical requirements Proficiency in Azure services, especially: ML, Cognitive Services, Azure Databricks, Azure Synapse Analytics Experience solutioning Azure Cloud based enterprise data architectures Knowledge of deep learning frameworks with a focus on Microsoft's Cognitive Toolkit (CNTK), TensorFlow and PyTorch Experience in implementing and optimizing deep learning models Experience developing and implementing Retrieval Augmented Generation (RAG) Information Architecture Data Modeling principles for relational and dimensional data structures Data Lake design principles, Data Virtualization Strong knowledge of data warehouse concepts and T-SQL relational/non-relational databases for data access and Advanced Analytics Experience with following languages: Python, R, Scala, SQL, M Experience in multidimensional and / or tabular models (SSAS) Microsoft Azure Stack RDBMS: Azure SQL / SQL Server 2016+ (SQL, Structure, Stored Procs, Tuning) ETL/ELT, (ADF, SSIS) Data governance - (Purview, Unity Catalogue) Databricks Delta Lake Storage Azure Dev OPS DESIRED SKILLS Advanced Analytics Data Technologies Databricks, Delta Lake, Synapse Spark SQL, Pyspark Azure Data Explorer Logic Apps, Key Vault Semi structured data processing Integration Runtime Coding experience: Python, C#, Java for Data analysis purpose One of the following certifications: Azure AI Engineer Associate Azure Fundamentals AI-900 Azure AI Fundamentals Azure Data Scientist Associate Azure Machine Learning Specialty Information Architecture Data Stewardship, Ownership and Quality Management principles Data Governance, Data Catalog, Enterprise Information Management NON-TECHNICAL SKILLS Business Engagement Demonstrated Experience Providing thought leadership and business strategy acumen around advanced analytics and business information lifecycle Leading customers through a value-based decision-making cycle Developing functional, non-functional and technical requirements based on business imperatives Presenting to customer executive teams with authority and purpose CYCLOTRON EXPECTATIONS These are the traits that we hold in the same regard for all employees, also viewed as performance indicators. Each employee should uphold these attributes. Communication and Interpersonal Skills - verbal and written, professional, concise, and effective. Collaboration and Teamwork - share knowledge, build alliances, show respect. Personal Ownership and Responsibility - take initiative, solve problems, be fully present. Customer Focus - Proactive management or Client expectations and needs. Time Management and Productivity - Set Goals, Commit, Record, Communicate Cyclotron is an equal opportunity employer; we encourage diversity and promote an inclusive environment where everyone feels respected and valued. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, gender expression, age, marital status, religion, national origin, veteran, or disability status. We would love to learn about what you can add to our diverse team. Cyclotron is an Equal Opportunity Employer. Cyclotron values diversity, equity and inclusion, and aims to practice DE&I in all that we do.
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best. We are looking forward to hearing from you! Thank you for your interest in Insurwave. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to Please add all mandatory information with a to send your application.
Apr 28, 2024
Full time
As a Senior Data Scientist, the candidate will work closely with Product and Engineering teams and will play a significant role in team responsible for building the AI and Analytics capabilities that power the Insurwave platform. The team is self-sufficient and fully responsible for design, development, testing, delivery, and support of the solutions. The candidate will be working across the full ML development lifecycle: data wrangling, model build, model evaluation, model deployment and model monitoring. The candidate will actively participate in these processes and will be leading and making technology and design decisions. The candidate will build solutions aligned with company-wide rules of engagement and standards and will work closely with Head of Data and AI to improve them when needed. The candidate will support team members growth and promote an open, learning culture. Responsibilities Lead and manage complex data science projects from conception to deployment, including defining project scope, timelines, and deliverables. Build high-performing AI/ML models that meet business-defined performance metrics, ensuring scalability, efficiency, and reliability. Develop and deploy production-ready data science code and models using fully automated processes, including Continuous Integration/Continuous Deployment (CI/CD) and testing frameworks. Continuously improve the performance, security, architecture, and maintainability of owned services through iterative development and optimization. Work closely with data analysts, data engineers, data scientists, and other business areas to ensure solutions are aligned with requirements, delivered according to plans, and developed to expected quality and security standards. Work closely with AI product manager to review model monitoring reports and analyse datasets in order to inform model improvement needs. Provide technical leadership and mentorship to junior data scientists, fostering a culture of learning, collaboration, and continuous improvement. Ensure the team adheres to defined best practices, standards, and processes, promoting excellence in technical execution and project delivery. Stay current with the latest advancements in data science and machine learning research and propose innovative solutions to address business challenges. Insurwave is where insurance buyers consolidate and visualise their data to understand their risk and make smarter transfer decisions. Our platform offers an integrated insurance management experience, from collecting and consolidating risk data to its distribution to all parties involved, keeping everyone in the insurance value chain connected and up-to-date. In one place, companies buying and selling risk can harness insightful data, view business exposure changes in real-time and automate time-consuming tasks to focus on what they do best. We are looking forward to hearing from you! Thank you for your interest in Insurwave. Please fill out the following short form. Should you have difficulties with the upload of your data, please send an email to Please add all mandatory information with a to send your application.
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
Apr 28, 2024
Full time
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.