Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
Apr 30, 2024
Full time
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
JAM Management Consultancy Ltd
Bracknell, Berkshire
Junior Technical Engineer - South East England, 37-38k - Clients are a very smart, Intelligent company working on Next Level Technologies, Software and Applications. AI, Machine Learning, NLP, IoT, IT Security, Contact Centre applications, SaaS, Cloud, and much more. Junior Technical Engineer , The role will lead into a "Software Developer or Data Science within time," - PHP, Python, TypeScript, React, JavaScript, C#, .NET, Java, C++, 37-38K BASE Salary Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and Project applications, the list goes on, 2:1 or above with A Levels A-C Grades or BTEC at Distinction Level. The Role of the Junior Technical Engineer Technical problem solving Fact finding Working with Software / Hardware applications Maintaining a commitment to keeping customers informed and build and maintain relationships of trust with customers Providing excellent customer service at all times The Person 2:1 Bachelors Degree in Computer Science / STEM/ Mathematics/ Physics/Chemistry/ Electronic/Electrical Engineering, Natural Science, Management, Business, Humanities Subjects, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL) or a desire to learn Some programming languages would be of advantage or a willingness to learn Good experience in a customer facing role Keen interest in Software Development Applications, AI, Machine Learning, SaaS, Cloud Technologies, CX, client facing, Junior Technical Engineer Job Types: Full-time, Permanent, Graduate Salary: 37,000.00- 38,000.00 per year
Apr 30, 2024
Full time
Junior Technical Engineer - South East England, 37-38k - Clients are a very smart, Intelligent company working on Next Level Technologies, Software and Applications. AI, Machine Learning, NLP, IoT, IT Security, Contact Centre applications, SaaS, Cloud, and much more. Junior Technical Engineer , The role will lead into a "Software Developer or Data Science within time," - PHP, Python, TypeScript, React, JavaScript, C#, .NET, Java, C++, 37-38K BASE Salary Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and Project applications, the list goes on, 2:1 or above with A Levels A-C Grades or BTEC at Distinction Level. The Role of the Junior Technical Engineer Technical problem solving Fact finding Working with Software / Hardware applications Maintaining a commitment to keeping customers informed and build and maintain relationships of trust with customers Providing excellent customer service at all times The Person 2:1 Bachelors Degree in Computer Science / STEM/ Mathematics/ Physics/Chemistry/ Electronic/Electrical Engineering, Natural Science, Management, Business, Humanities Subjects, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL) or a desire to learn Some programming languages would be of advantage or a willingness to learn Good experience in a customer facing role Keen interest in Software Development Applications, AI, Machine Learning, SaaS, Cloud Technologies, CX, client facing, Junior Technical Engineer Job Types: Full-time, Permanent, Graduate Salary: 37,000.00- 38,000.00 per year
JAM Management Consultancy Ltd
Bracknell, Berkshire
Graduate Technical Engineer - South East England, 37-38k - Clients are a very smart, Intelligent company working on Next Level Technologies, Software and Applications. AI, Machine Learning, NLP, IoT, IT Security, Contact Centre applications, SaaS, Cloud, and much more. Graduate Technical Consultant,The role will lead into a "Software Developer" - PHP, Python, TypeScript, React, JavaScript, C#, .NET, Java, C++, 37-38K BASE Salary Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and Project applications, the list goes on, 2:1 or above with A Levels A-B Grades or BTEC at Distinction Level. Smart and Intelligent company are really looking forward in working with smart and intelligent Graduates, The Role of the Graduate Technical Consultant Technical problem solving Fact finding Working with Software / Hardware applications Maintaining a commitment to keeping customers informed and build and maintain relationships of trust with customers Providing excellent customer service at all times The Person 2:1 Bachelors Degree in Computer Science / STEM/ Mathematics/ Physics/Chemistry/ Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL) or a desire to learn Some programming languages would be of advantage or a willingness to learn Good experience in a customer facing role Keen interest in Software Development Applications.
Apr 30, 2024
Full time
Graduate Technical Engineer - South East England, 37-38k - Clients are a very smart, Intelligent company working on Next Level Technologies, Software and Applications. AI, Machine Learning, NLP, IoT, IT Security, Contact Centre applications, SaaS, Cloud, and much more. Graduate Technical Consultant,The role will lead into a "Software Developer" - PHP, Python, TypeScript, React, JavaScript, C#, .NET, Java, C++, 37-38K BASE Salary Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want to work with awesome Technologies such as, AI, Machine2Machine Learning, Cloud Applications, Unified Communications, Software Solutions IT Security, and Project applications, the list goes on, 2:1 or above with A Levels A-B Grades or BTEC at Distinction Level. Smart and Intelligent company are really looking forward in working with smart and intelligent Graduates, The Role of the Graduate Technical Consultant Technical problem solving Fact finding Working with Software / Hardware applications Maintaining a commitment to keeping customers informed and build and maintain relationships of trust with customers Providing excellent customer service at all times The Person 2:1 Bachelors Degree in Computer Science / STEM/ Mathematics/ Physics/Chemistry/ Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language (i.e. SQL) or a desire to learn Some programming languages would be of advantage or a willingness to learn Good experience in a customer facing role Keen interest in Software Development Applications.
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer the environment: Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Apr 30, 2024
Full time
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer the company and role: It s a great time to join the team. The company delivers a range of enterprise level solutions. It s well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer the environment: Senior ML Learning Engineer desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud AWS, Google Cloud, Azure, and a knowledge of secure coding techniques PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
We are Quantcast. Global leaders in AI-powered programmatic advertising and media performance. With measurement and consumer analytics in our DNA, we empower marketers to reach audiences and deliver measurable outcomes. Our mission is to make every marketer more successful, every campaign outperforms expectations, empowering brands to build meaningful relationships with consumers and achieve business results. Since our founding in 2006, Quantcast has led the industry with some market-changing firsts including the first measurement platform for digital publishers and the first AI-powered DSP. If you're ready to join a passionate team building cutting-edge solutions - Quantcast is for you. The Modeling team is responsible for Machine Learning (ML) Systems at Quantcast and is located in London and San Francisco. We build and maintain multiple ML products. We price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content. As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces. Responsibilities: Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently. Write clean, efficient, and maintainable code using industry best practices. Collaborate closely with product and platform engineering teams, to deliver high-quality ML products.Participate in code reviews and provide constructive feedback to team members. Identify performance bottlenecks and optimize system components for enhanced scalability. Generate and review proposals for further research and development directions. Keep up to date with developments in machine learning outside the company. Requirements: You are a new or recently qualified University graduate with a degree in Computer Science or a related technical field. Fluency in Python, Java or similar programming languages. Strong skills in mathematics and statistics. Exposure to ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems. An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering. Ultimately, in determining your offer, we will take into consideration your geographic location, relevant experience and expertise, and other job-related factors. Furthermore, full-time roles are eligible for a bonus, equity, and benefits (depending on your location) which include hybrid work, vacation, medical, dental, and vision insurance, and retirement plans. Please see our Careers page for additional information. Founded in 2006 and headquartered in San Francisco, Quantcast has employees in 18 offices across 10 countries. We are committed to building an inclusive and diverse environment where everyone can be their authentic self. We work to ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Recognizing the importance of flexible work environments, Quantcast operates in a hybrid work model. This model gives employees the opportunity to work from home two days a week and work in the office for team collaboration for the remainder of the time. Our hybrid model may differ based on location or team, so please consult with your hiring manager for further information. All hybrid employees can also work remotely for two weeks each year or, if eligible, apply for our fully remote work program. We strongly encourage vaccination for all Quantcast employees as a way to stop the spread of COVID and protect yourself and others.
Apr 30, 2024
Full time
We are Quantcast. Global leaders in AI-powered programmatic advertising and media performance. With measurement and consumer analytics in our DNA, we empower marketers to reach audiences and deliver measurable outcomes. Our mission is to make every marketer more successful, every campaign outperforms expectations, empowering brands to build meaningful relationships with consumers and achieve business results. Since our founding in 2006, Quantcast has led the industry with some market-changing firsts including the first measurement platform for digital publishers and the first AI-powered DSP. If you're ready to join a passionate team building cutting-edge solutions - Quantcast is for you. The Modeling team is responsible for Machine Learning (ML) Systems at Quantcast and is located in London and San Francisco. We build and maintain multiple ML products. We price millions of bid requests per second in a real-time auction environment to maximize advertiser outcomes. For each bid our models predict age, gender, viewability, fraud, advertiser relevance and many more characteristics. Using NLP, clustering and LLMs we build topics in multiple languages to help our advertisers target customers interested in relevant content. As a Machine Learning Engineer you care about the health and maintainability of our systems and the velocity of the engineering teams. You explore data, research new algorithms, experiment with proof of concepts, and build out scalable real-time production systems to tackle challenges the company faces. Responsibilities: Design, code, test, and debug ML applications and constantly improve large-scale global systems that respond to millions of real-time requests per second efficiently. Write clean, efficient, and maintainable code using industry best practices. Collaborate closely with product and platform engineering teams, to deliver high-quality ML products.Participate in code reviews and provide constructive feedback to team members. Identify performance bottlenecks and optimize system components for enhanced scalability. Generate and review proposals for further research and development directions. Keep up to date with developments in machine learning outside the company. Requirements: You are a new or recently qualified University graduate with a degree in Computer Science or a related technical field. Fluency in Python, Java or similar programming languages. Strong skills in mathematics and statistics. Exposure to ML algorithms such as classification, control systems, optimization, clustering, LLMs or recommendation systems. An interest in distributed system and software design, concurrent algorithms, data structures, and software engineering. Ultimately, in determining your offer, we will take into consideration your geographic location, relevant experience and expertise, and other job-related factors. Furthermore, full-time roles are eligible for a bonus, equity, and benefits (depending on your location) which include hybrid work, vacation, medical, dental, and vision insurance, and retirement plans. Please see our Careers page for additional information. Founded in 2006 and headquartered in San Francisco, Quantcast has employees in 18 offices across 10 countries. We are committed to building an inclusive and diverse environment where everyone can be their authentic self. We work to ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Recognizing the importance of flexible work environments, Quantcast operates in a hybrid work model. This model gives employees the opportunity to work from home two days a week and work in the office for team collaboration for the remainder of the time. Our hybrid model may differ based on location or team, so please consult with your hiring manager for further information. All hybrid employees can also work remotely for two weeks each year or, if eligible, apply for our fully remote work program. We strongly encourage vaccination for all Quantcast employees as a way to stop the spread of COVID and protect yourself and others.
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.
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.
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 .
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
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.
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team, we're focusing on using less data to learn more intelligent algorithms to bring autonomy for everyone, everywhere. We aim to be the future of self-driving cars, not vehicles that are told how to drive through hand-coded rules and maps, but ones which learn from experience and data. Where you will have an impact We're looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We're a growing start-up, building our first cohort of engineers and you can be at the heart of this! We are looking for Machine Learning Engineers to help productionize an end-to-end self driving neural network for autonomous driving. You'll be working closely with Platform and Research teams to integrate, test and scale ML features for production. Productionizing and scaling our ML models by working across Data, Validation, Platform and Research is a core component of this role and why we need you! WHAT YOU'LL BRING TO WAYVE • 3 + years experience in shipping Computer Vision features and in applied research • Passion to take research ideas to production • Good grasp of Computer Vision literature • Experience in working in platform teams and working with research teams • Good insight into the training, validation, testing and metrics for deep learning features/models • Experience in reporting and tracking over time benchmarked performance in an open and accessible way • Ability to write high quality, well-structured and tested Python code • Solid experience working with concurrent, parallel and distributed computing • Comfortable working with and visualising huge data sets + finding and removing examples of noisy or bad data • Knowledge of computing fundamentals - what makes code fast, secure and reliable • BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you • Competitive compensation with salary and equity • Immersion in a team of world-class researchers, engineers and entrepreneurs • A position to shape the future of autonomous driving and to tackle the biggest challenges of our time • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, L&D, enhanced parental leave, and more! • This is a full-time role based in our office in King's Cross, but we support flexible working. We trust you to know what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow Company: Wayve Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom
Apr 27, 2024
Full time
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team, we're focusing on using less data to learn more intelligent algorithms to bring autonomy for everyone, everywhere. We aim to be the future of self-driving cars, not vehicles that are told how to drive through hand-coded rules and maps, but ones which learn from experience and data. Where you will have an impact We're looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We're a growing start-up, building our first cohort of engineers and you can be at the heart of this! We are looking for Machine Learning Engineers to help productionize an end-to-end self driving neural network for autonomous driving. You'll be working closely with Platform and Research teams to integrate, test and scale ML features for production. Productionizing and scaling our ML models by working across Data, Validation, Platform and Research is a core component of this role and why we need you! WHAT YOU'LL BRING TO WAYVE • 3 + years experience in shipping Computer Vision features and in applied research • Passion to take research ideas to production • Good grasp of Computer Vision literature • Experience in working in platform teams and working with research teams • Good insight into the training, validation, testing and metrics for deep learning features/models • Experience in reporting and tracking over time benchmarked performance in an open and accessible way • Ability to write high quality, well-structured and tested Python code • Solid experience working with concurrent, parallel and distributed computing • Comfortable working with and visualising huge data sets + finding and removing examples of noisy or bad data • Knowledge of computing fundamentals - what makes code fast, secure and reliable • BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you • Competitive compensation with salary and equity • Immersion in a team of world-class researchers, engineers and entrepreneurs • A position to shape the future of autonomous driving and to tackle the biggest challenges of our time • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, L&D, enhanced parental leave, and more! • This is a full-time role based in our office in King's Cross, but we support flexible working. We trust you to know what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow Company: Wayve Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom
Machine Learning Engineer - Remote As a Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £60,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
Apr 27, 2024
Full time
Machine Learning Engineer - Remote As a Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £60,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
Senior Machine Learning Engineer - Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. You'll be maintaining and enhancing CI/CD pipelines alongside architecting and managing cloud infrastructure using Terraform We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £75,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
Apr 27, 2024
Full time
Senior Machine Learning Engineer - Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. You'll be maintaining and enhancing CI/CD pipelines alongside architecting and managing cloud infrastructure using Terraform We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £75,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
Apr 26, 2024
Full time
Machine Learning Lead Are you enthusiastic about leading a team to develop groundbreaking Natural Language Processing (NLP) solutions for intricate challenges? Our client are looking to spearhead the creation of cutting-edge NLP systems that are poised to redefine the landscape of work in the future! Job Description: We are seeking a talented Machine Learning leader to elevate the maturity of our ML Solution. As the Machine Learning Lead, you will play a pivotal role in maximizing the value delivered by our ML engineering team through strategic decision-making and mentorship. Your responsibilities will include guiding architectural decisions, enhancing ML operations, shaping product strategy, and laying a robust foundation for scaling our machine learning capabilities. Additionally, you'll be tasked with effectively communicating technical concepts to non-technical stakeholders. Qualifications: Proficient in machine learning with a focus on NLP Demonstrated experience leading Data Science and ML projects from research to operational deployment Adept at problem-solving with a customer-centric approach Entrepreneurial mindset with a passion for developing ethical AI solutions Excellent communication skills, capable of simplifying complex technical concepts Experience implementing cutting-edge NLP research and working with large datasets and distributed computing frameworks Familiarity with Azure, AWS, or GCP Startup Mindset: To thrive in our environment, you should be proactive, adaptable to change, and possess a continuous improvement mindset. Flexibility, a willingness to exceed expectations, and a comfort with ambiguity are essential traits for success. Flexible Working: We understand that everyone's work preferences differ, which is why we offer various flexible working arrangements, including remote work and flexible hours.
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. Apply now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Apr 26, 2024
Full time
Title: Senior / Mid Level Data Scientists /Data Engineer Location: Bristol Contract Type: Permanent Salary Range: £50,000 - £80,000 per year Our client, a leading organisation in the reinsurance industry, is seeking talented and experienced Mid-Level Data Scientists /Data Engineers to join their team in Bristol. As a key player in the development and operations of their automated ingestion system, you will contribute to the enhancement of their data processing and analysis capabilities. Responsibilities: - Automated Ingestion System Development: Design, develop, and maintain efficient, scalable, and reliable data ingestion pipelines. - ML Component Integration: Integrate advanced machine learning components into data pipelines to optimise data processing and analysis. - Data Quality and Metrics: Implement data quality metrics and dashboards to ensure the integrity and accuracy of ingested data. - Collaboration: Work closely with data scientists, engineers, and other team members in a multifunctional agile development team to meet project goals. - Innovation: Utilise modern NLP techniques to improve data understanding and processing, staying updated with the latest developments in data science and engineering. Qualifications: - Experience: Minimum of 3 years of experience developing complex data ingestion pipelines with sophisticated ML components. Prior experience in the insurance sector is advantageous. - Education: Degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Perks: Health insurance Hybrid working Life assurance Private Medical 5% pension 28 days annual leave plus bank holidays Why join our client? - Impact: Make a significant contribution to enhancing their data ingestion capabilities and improving their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards collective goals. If you are passionate about crafting sophisticated data ingestion pipelines and thrive in a dynamic, agile environment, our client welcomes your application. Don't miss this exciting opportunity to join their team in revolutionising the way cyber risk is understood and mitigated in the reinsurance domain. Apply now! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer - the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning - NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design - load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
Apr 25, 2024
Full time
Remote / WFH. Due to sustained growth, this award-winning software solutions company seeks a Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux. ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you specifying, designing, developing and testing in Python. ML Learning Engineer - the environment: Python - advanced features, NumPy, keras, pandas, NLTK, scikit, SpaCy Machine Learning - NLP, ML algos, Hugging Face, large language models (LLMs), Retrieval Augmented Generation), learning algorithms, neural networks, ML frameworks (TensorFlow, PyTorch) Data Wrangling Systems: Linux, APIs, infrastructure design - load balancing, VMs, PostgreSQL, vector dbs. ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. Note: as there are actually two roles on offer (both new and due to expansion) the client is happy to look at more junior candidates, possibly graduates, for one of the positions. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £60,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Apr 23, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Working at SambaNova SambaNova Systems is hiring a Principal AI Solutions Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross-functional teams across Sambanova's software, hardware and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey. Responsibilities • Work with both external users and internal engineering teams to develop robust, efficient and scalable AI solutions that meet customers' needs. • Integrate the latest model architecture, data curation, and performance optimization technologies from the AI industry and research into SambaNova's technical stack. • Create end-to-end solutions for ML applications to enable model training and fine-tuning on domain-specific data. • Enable high throughput and low latency inference applications for at-scale deployment. • Collaborate with cross-functional software and hardware teams to innovate customer-centric applications. • Work with diverse data types: textual, unstructured, tabular and multimodal data. Basic Qualifications • Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics • 5+ years of industry experience, including 3+ in one or more of the following: • Deep learning algorithm development • Compiler • Software-Hardware Co-design • Proficiency in Python or C++, with a solid foundation in data structures, algorithms, and machine learning. • Proficiency in one or more of the popular ML frameworks (PyTorch/Tensorflow/JAX) Additional Required Qualifications • Experience in machine learning productization and pipeline development in software engineering • Real-world experience in multi-lingual LLM applications training and inference. • Real-world experience in vision-language multimodality. • Development and deployment Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Question Answering, Copilot. • Development with DeepSeed, Megatron, vLLM, and TensorRT. Preferred Qualifications • CUDA/OpenCL programming skills. Experience with CuDNN, and CUDA math libraries (CuBLAS, CuFFT, ) is a plus. • First author in CS/ML publication Company: SambaNova Systems Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Information Retrieval , Machine Learning , NLP , Question Answering , Unspecified
Apr 23, 2024
Full time
Working at SambaNova SambaNova Systems is hiring a Principal AI Solutions Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross-functional teams across Sambanova's software, hardware and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey. Responsibilities • Work with both external users and internal engineering teams to develop robust, efficient and scalable AI solutions that meet customers' needs. • Integrate the latest model architecture, data curation, and performance optimization technologies from the AI industry and research into SambaNova's technical stack. • Create end-to-end solutions for ML applications to enable model training and fine-tuning on domain-specific data. • Enable high throughput and low latency inference applications for at-scale deployment. • Collaborate with cross-functional software and hardware teams to innovate customer-centric applications. • Work with diverse data types: textual, unstructured, tabular and multimodal data. Basic Qualifications • Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics • 5+ years of industry experience, including 3+ in one or more of the following: • Deep learning algorithm development • Compiler • Software-Hardware Co-design • Proficiency in Python or C++, with a solid foundation in data structures, algorithms, and machine learning. • Proficiency in one or more of the popular ML frameworks (PyTorch/Tensorflow/JAX) Additional Required Qualifications • Experience in machine learning productization and pipeline development in software engineering • Real-world experience in multi-lingual LLM applications training and inference. • Real-world experience in vision-language multimodality. • Development and deployment Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Question Answering, Copilot. • Development with DeepSeed, Megatron, vLLM, and TensorRT. Preferred Qualifications • CUDA/OpenCL programming skills. Experience with CuDNN, and CUDA math libraries (CuBLAS, CuFFT, ) is a plus. • First author in CS/ML publication Company: SambaNova Systems Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Information Retrieval , Machine Learning , NLP , Question Answering , Unspecified
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
Apr 23, 2024
Full time
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details