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.
May 03, 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.
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
May 03, 2024
Full time
Must have active enhanced DV (West) Clearance Up to £75k DoE plus bonuses and benefits 3 days on site per week in Cheltenham Skills required in Machine Learning, AWS/Azure, Python, NLP, AI Who are we? We are recruiting a Data Scientist with enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation. You'll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Apply creative data science and ML techniques Innovate and research solutions Stay current with ML and data tech Engage in full data science lifecycle Document technically Deliver high-quality project components Provide practical client solutions Assist in proposal crafting and pitching Deepen understanding of the Defence and Security sector for AI & Data transformation opportunities Key Skills and Requirements Essential: Active Enhanced DV Clearance Applying data science or machine learning in Defence/Security, public sector, or academia Proficiency in various machine learning architectures and models Methodical problem-solving skills Effective communication of complex technical concepts to diverse audiences Client relationship management abilities Desirable: Cloud-based Data Science and Machine Learning services (AWS, Azure, GCP) Familiarity with Python libraries for data management, statistics, machine learning, and visualisation. Expertise in popular machine learning frameworks like TensorFlow and PyTorch Knowledge of cutting-edge techniques for Natural Language Processing and Computer Vision Strong grasp of basic probability concepts and machine learning lifecycle Experience with workflow and pipelining frameworks (e.g., Kubeflow, MLFlow, Argo) Understanding and application of Ethical AI considerations TO BE CONSIDERED . Please either apply by clicking online or emailing me directly at . For further information please call me on or - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Scientist / Data Science / AWS / Azure / Machine Learning / NLP / AI / PyTorch / TensorFlow / Python / Cheltenham / Security Cleared / DV / DV Cleared / Enhanced Clearance
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.
May 03, 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.
Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide Algolia NeuralSearch, a next-generation vector and keyword search in a single API with powerful, end-to-end AI processing for every query. Our API is used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day. We are looking for a Senior Back-end Engineer to grow our Engines team. The team provides the main Search API for Algolia. They build and maintain the Core Search Engine to provide the best performance and scalability for our customers. We are looking for engineers who are fluent in modern C++, Golang and complex algorithms who will contribute to raise the bar for how we think about search and relevance. Your role will consist of: Be a key contributor to the design, development, and ultimately operation of the Search engine system at scale Be responsible of the quality, soundness of the system Work with other teams to identify, troubleshoot, and resolve high impact issues. You might be a fit if you have: 3+ years of C++ or Golang development of production-released code A rock-solid foundation in Computer Science (data structures, algorithms, software design) Rigor in high code quality, automated testing, and other engineering best practices Experience in the design of major components and leading engineers in the delivery Excellent spoken and written English skills Nice to have: Experience debugging distributed systems in production Ability to work in a Kubernetes based environment Experience in information retrieval or AI models Experience with the problematics around natural language processing We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
May 03, 2024
Full time
Algolia was built to help users deliver an intuitive search-as-you-type experience on their websites and mobile apps. We provide Algolia NeuralSearch, a next-generation vector and keyword search in a single API with powerful, end-to-end AI processing for every query. Our API is used by thousands of customers in more than 100 countries. Billions of search queries are answered every month thanks to the code we push into production every day. We are looking for a Senior Back-end Engineer to grow our Engines team. The team provides the main Search API for Algolia. They build and maintain the Core Search Engine to provide the best performance and scalability for our customers. We are looking for engineers who are fluent in modern C++, Golang and complex algorithms who will contribute to raise the bar for how we think about search and relevance. Your role will consist of: Be a key contributor to the design, development, and ultimately operation of the Search engine system at scale Be responsible of the quality, soundness of the system Work with other teams to identify, troubleshoot, and resolve high impact issues. You might be a fit if you have: 3+ years of C++ or Golang development of production-released code A rock-solid foundation in Computer Science (data structures, algorithms, software design) Rigor in high code quality, automated testing, and other engineering best practices Experience in the design of major components and leading engineers in the delivery Excellent spoken and written English skills Nice to have: Experience debugging distributed systems in production Ability to work in a Kubernetes based environment Experience in information retrieval or AI models Experience with the problematics around natural language processing We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
May 02, 2024
Full time
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes Facilitates the development of features of models on individual projects and/or products with guidance and support from others Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field Several years' experience working on creating machine learning algorithms Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools Experience with building, testing, measuring, and deploying machine learning models in production Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) Previous experience of owning, maintaining, and enhancing software data products Attention to clarity of code, ease of development, and correctness of implementations Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: Knowledge and experience of Hierarchical Modelling Experience with clinical domain and with regulated data Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker Experience working with large, real-world datasets Demonstrated in-depth understanding of product development lifecycle Demonstrated aptitude for and interest in peer mentorship Experience deploying code into production through CI/CD tools Knowledge of biostatistics/life sciences/healthcare technology Knowledge of UX principles Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. The Team: The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data. We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs. What's the role? The Company Financials Business Intelligence team is looking for a Data Engineer who can combine a deep interest in nuanced, industry-specific data sets with a broad interest in connecting these data sets to drive insights at scale. In this role you will need to demonstrate a strong technical understanding of both data ingestion into and consumption from Business Intelligence software to drive meaningful customer outcomes. You are expected to use your skills to help drive the next generation of Company Financials products, combining humans, processes, and technology in novel ways to tackle meaningful problems. You will need to lead and influence partners from various backgrounds; while working closely while working closely with partners across Product Data & Technology, including Product Managers, Engineering and other Company Financials groups to meet the needs of our external and internal clients. We'll trust you to: Proactively create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose Get to know how data moves through a sophisticated system and identify the best ways to constructively and safely expose it to partners Gather feedback from internal and external workflow users including clients, vendors and global company financials teams, and synthesize this feedback into a meaningful action plan Understand the software development lifecycle stages, and identify the right-sized solution for the right phase of a product's development Leverage technical knowledge of Bloomberg's proprietary or open-source stack to implement high-standard and innovative solutions You'll need to have: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field 3+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions Experience in using object-oriented programming languages (eg. Python) in development or production environment Some experience or familiarity with system architecture - tracking the flow of data through a large and heterogeneous system Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.) Deep familiarity with some Business Intelligence software, whether Qlik Sense, Alteryx, Tableau, or something similar, along with a demonstrated ability understand how it performs under various kinds of load and the inherent tradeoffs in processing data at scale Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality Ability to formulate hypotheses in the face of ambiguity, and to find efficient ways to validate them Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills We'd love to see: Advanced degree in a relevant subject and/or Certified Data Management Professional (CDMP, or working towards it) Experience in Bloomberg Company Financials products, Bloomberg Terminal fluency, and/or enterprise financial data products Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or
May 01, 2024
Full time
Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. The Team: The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by our industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data. We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs. What's the role? The Company Financials Business Intelligence team is looking for a Data Engineer who can combine a deep interest in nuanced, industry-specific data sets with a broad interest in connecting these data sets to drive insights at scale. In this role you will need to demonstrate a strong technical understanding of both data ingestion into and consumption from Business Intelligence software to drive meaningful customer outcomes. You are expected to use your skills to help drive the next generation of Company Financials products, combining humans, processes, and technology in novel ways to tackle meaningful problems. You will need to lead and influence partners from various backgrounds; while working closely while working closely with partners across Product Data & Technology, including Product Managers, Engineering and other Company Financials groups to meet the needs of our external and internal clients. We'll trust you to: Proactively create strategies to analyze processes and data quality questions to ensure our datasets are fit-for-purpose Get to know how data moves through a sophisticated system and identify the best ways to constructively and safely expose it to partners Gather feedback from internal and external workflow users including clients, vendors and global company financials teams, and synthesize this feedback into a meaningful action plan Understand the software development lifecycle stages, and identify the right-sized solution for the right phase of a product's development Leverage technical knowledge of Bloomberg's proprietary or open-source stack to implement high-standard and innovative solutions You'll need to have: Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role. A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance, or other STEM related field 3+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions Experience in using object-oriented programming languages (eg. Python) in development or production environment Some experience or familiarity with system architecture - tracking the flow of data through a large and heterogeneous system Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.) Deep familiarity with some Business Intelligence software, whether Qlik Sense, Alteryx, Tableau, or something similar, along with a demonstrated ability understand how it performs under various kinds of load and the inherent tradeoffs in processing data at scale Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality Ability to formulate hypotheses in the face of ambiguity, and to find efficient ways to validate them Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills We'd love to see: Advanced degree in a relevant subject and/or Certified Data Management Professional (CDMP, or working towards it) Experience in Bloomberg Company Financials products, Bloomberg Terminal fluency, and/or enterprise financial data products Knowledge of advanced statistical methods and/or Machine Learning, Artificial Intelligence, and Natural language Processing in business use-cases Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are! Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact or
Job Description: Job Title Data Scientist - Quantitative Research & Development Lab Location London Corporate Title Vice President/Director Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank's businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. The Quantitative Research and Development Lab is a newly established team within Deutsche Bank GSA. Its central mission is to empower the sales and trading functions with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning space. You will be amongst the first experienced members of this team and have the opportunity to use your foundational knowledge and practical experience in the field of data science to deliver impactful solutions to the business, working closely with key stakeholders and together with partnering teams to deliver business solutions and provide support to sales and trading. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days' holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme + 2 days' volunteering leave per year Your key responsibilities Responsible for building and developing quantitative data-driven Machine Learning models and tools to support front office sales and trading Work in collaboration with partnering sales and trading (or related) teams to formulate the initiative's problem statement, business case, proposed approach, delivery schedule, and Key Performance Indicators. Conduct the required research and development across the full life-cycle, from idea inception to documentation and maintenance/improvement of the productionised solution. Provide project management, coordination, and managerial oversight where required. Your skills and experience Expert working knowledge in deep learning and/or natural language processing, and a good foundation in mathematics and statistics (incl. probability, time-series modelling, optimisation) Experienced in research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions. Good experience analysing large structured and/or unstructured datasets Comfortable working both as an individual contributor and as a member of a collective team with the ability to communicate technical subject matter clearly and concisely tailored to diverse audiences Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus. Excellent academic/educational credentials in a relevant subject such as Mathematics, Computer Science or Data Science with advanced degrees such as MSc or PHD advantageous. How we'll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities' employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards) About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named a Times Top 50 Employer for Gender Equality for three consecutive years. Additionally, we have been awarded a Silver Award from Stonewall for two years running and named in their Top 100 Employers for 2023 for our work supporting LGBTQ+ inclusion. Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.
May 01, 2024
Full time
Job Description: Job Title Data Scientist - Quantitative Research & Development Lab Location London Corporate Title Vice President/Director Group Strategic Analytics (GSA) is part of Group Chief Operation Office (COO) which acts as the bridge between the Bank's businesses and infrastructure functions to help deliver the efficiency, control, and transformation goals of the Bank. The Quantitative Research and Development Lab is a newly established team within Deutsche Bank GSA. Its central mission is to empower the sales and trading functions with quantitative data-driven models and tools that leverage the latest developments in the Artificial Intelligence/Machine Learning space. You will be amongst the first experienced members of this team and have the opportunity to use your foundational knowledge and practical experience in the field of data science to deliver impactful solutions to the business, working closely with key stakeholders and together with partnering teams to deliver business solutions and provide support to sales and trading. What we'll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more importantly, enjoy their lives inside and outside the workplace. That's why we are committed to providing an environment with your development and wellbeing at its centre. You can expect: Hybrid Working - we understand that employee expectations and preferences are changing. We have implemented a Hybrid Working Model that enables eligible employees to work remotely for a part of their working time and reach a working pattern that works for them Competitive salary and non-contributory pension 30 days' holiday plus bank holidays, with the option to purchase additional days Life Assurance and Private Healthcare for you and your family A range of flexible benefits including Retail Discounts, a Bike4Work scheme and Gym benefits The opportunity to support a wide ranging CSR programme + 2 days' volunteering leave per year Your key responsibilities Responsible for building and developing quantitative data-driven Machine Learning models and tools to support front office sales and trading Work in collaboration with partnering sales and trading (or related) teams to formulate the initiative's problem statement, business case, proposed approach, delivery schedule, and Key Performance Indicators. Conduct the required research and development across the full life-cycle, from idea inception to documentation and maintenance/improvement of the productionised solution. Provide project management, coordination, and managerial oversight where required. Your skills and experience Expert working knowledge in deep learning and/or natural language processing, and a good foundation in mathematics and statistics (incl. probability, time-series modelling, optimisation) Experienced in research and hands-on production deliveries that evidence creativity, impact, attention to detail, and longevity of solutions. Good experience analysing large structured and/or unstructured datasets Comfortable working both as an individual contributor and as a member of a collective team with the ability to communicate technical subject matter clearly and concisely tailored to diverse audiences Solid programming skills in Python. Other languages such as Java, C++, Kdb/q are a plus. Excellent academic/educational credentials in a relevant subject such as Mathematics, Computer Science or Data Science with advanced degrees such as MSc or PHD advantageous. How we'll support you Training and development to help you excel in your career Flexible working to assist you balance your personal priorities Coaching and support from experts in your team A range of flexible benefits that you can tailor to suit your needs We value diversity and as an equal opportunities' employer, we make reasonable adjustments for those with a disability such as the provision of assistive equipment if required (e.g. screen readers, assistive hearing devices, adapted keyboards) About us Deutsche Bank is the leading German bank with strong European roots and a global network. Click here to see what we do. Deutsche Bank in the UK is proud to have been named a Times Top 50 Employer for Gender Equality for three consecutive years. Additionally, we have been awarded a Silver Award from Stonewall for two years running and named in their Top 100 Employers for 2023 for our work supporting LGBTQ+ inclusion. Our values define the working environment we strive to create - diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer. We promote good working relationships and encourage high standards of conduct and work performance. We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation. Visit Inside Deutsche Bank to discover more about the culture of Deutsche Bank including Diversity, Equity & Inclusion, Leadership, Learning, Future of Work and more besides.
MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN LONDON WITH SECURITY CLEARANCE Permanent opportunity for a Machine Learning Engineer Must hold SC or DV Clearance £40,000 to £75,000 plus bonus and benefits London based organisation in an accessible location To apply please call or email WHO WE ARE? We are recruiting a permanent Machine Learning Engineer to work with a leading technology and engineering company that do excellent work across Defence and National Security sectors covering a range of exciting projects. Due to the nature of our clients, you must hold Security Clearance. WHAT WILL THE MACHINE LEARNING ENGINEER BE DOING? As a Machine Learning Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE MACHINE LEARNING ENGINEER SHOULD HAVE . SC or DV Security Clearance to work on secure projects Demonstratable technical background in Machine Learning/Data Science Experience with programming languages such as Python and R Demonstratable experience developing & delivering Machine Learning strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. MACHINE LEARNING ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
May 01, 2024
Full time
MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN LONDON WITH SECURITY CLEARANCE Permanent opportunity for a Machine Learning Engineer Must hold SC or DV Clearance £40,000 to £75,000 plus bonus and benefits London based organisation in an accessible location To apply please call or email WHO WE ARE? We are recruiting a permanent Machine Learning Engineer to work with a leading technology and engineering company that do excellent work across Defence and National Security sectors covering a range of exciting projects. Due to the nature of our clients, you must hold Security Clearance. WHAT WILL THE MACHINE LEARNING ENGINEER BE DOING? As a Machine Learning Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE MACHINE LEARNING ENGINEER SHOULD HAVE . SC or DV Security Clearance to work on secure projects Demonstratable technical background in Machine Learning/Data Science Experience with programming languages such as Python and R Demonstratable experience developing & delivering Machine Learning strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. MACHINE LEARNING ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
DATA SCIENCE ENGINEER - DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENCE ENGINEER IN LONDON WITH DV CLEARANCE Permanent opportunity for a Data Science Engineer DV security clearance is required Salary up to £85,000 plus bonus and benefits London based organisation in an accessible location To apply please call / or email WHO WE ARE? We are recruiting a permanent Data Science Engineer to work with a leading technology and engineering company that do excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold DV security clearance. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE DATA SCIENCE ENGINEER SHOULD HAVE . Strong and demonstratable technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current DV security clearance TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENCE ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
May 01, 2024
Full time
DATA SCIENCE ENGINEER - DV CLEARED NEW PERMANENT OPPORTUNITY AVAILABLE FOR A DATA SCIENCE ENGINEER IN LONDON WITH DV CLEARANCE Permanent opportunity for a Data Science Engineer DV security clearance is required Salary up to £85,000 plus bonus and benefits London based organisation in an accessible location To apply please call / or email WHO WE ARE? We are recruiting a permanent Data Science Engineer to work with a leading technology and engineering company that do excellent work in the National Security sector across a range of exciting projects. Due to the nature of our clients, you must hold DV security clearance. WHAT WILL THE DATA SCIENCE ENGINEER BE DOING? As a Data Science Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation and AI. You could be working with all types of data (both structured and unstructured) using a variety of software - so we're open to seeing engineers with different technology backgrounds! THE DATA SCIENCE ENGINEER SHOULD HAVE . Strong and demonstratable technical background in data science Demonstratable experience developing & delivering data science strategies Experience with big data ecosystems, cloud infrastructure and analytic frameworks Techniques and toolkits for data cleansing, data processing and data preparation Any experience with techniques and toolkits for combining data or analysing data streams would be desirable Current DV security clearance TO BE CONSIDERED . Please either apply by clicking online or emailing me directly to For further information please call me on or - I can make myself available outside of normal working hours to suit from 7am until 10pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to follow me on or connect with me on LinkedIn, just search Dominic Barbet. I look forward to hearing from you. DATA SCIENCE ENGINEER KEY SKILLS: PRINCIPAL DATA SCIENTIST / LEAD DATA SCIENTIST / MACHINE LEARNING / ML / NLP / NATURAL LANGUAGE PROCESSING / DEEP LEARNING / DATA SCIENCE / LSTM / LONG SHORT TERM MEMORY / CNN / COGNETIVE NEURAL NETWORKS / CLOUD INFRASTRUCTURE / ARTIFICIAL INTELLIGENCE / INNOVATION / SECURITY CLEARANCE / DV CLEARED / SC CLEARED / SC CLEARANCE / SECURITY CLEARANCE / DV CLEARANCE / DEVELOPPED VETTING / DEEP VETTING / DEVELOPPED VETTED
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team Quant Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering - even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: Quant Platform Developers" otherwise known as our Core Techs", and Quant Developers" which we often refer to as Sector Techs". We use the term Sector Tech" because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
May 01, 2024
Full time
The Role As a Quant Developer at AHL you will be working hand-in-hand with our Quant Researchers. Your challenges will be varied, and will involve implementing new trading strategies, building new research frameworks and quant libraries, prototyping new data feeds, development of new portfolio construction techniques or building risk analysis tools. The Team Quant Developers at AHL are all part of our broader technology team, members of a group of over sixty individuals representing eighteen nationalities. We have varied backgrounds including Computer Science, Mathematics, Physics, Engineering - even Classics - but what unifies us is a passion for technology and writing high-quality code. Our developers are organised into small cross-functional teams, with our engineering roles broadly of two kinds: Quant Platform Developers" otherwise known as our Core Techs", and Quant Developers" which we often refer to as Sector Techs". We use the term Sector Tech" because some of our teams are aligned with a particular asset class or market sector. People often rotate teams in order to learn more about our system, as well as find the position that best matches their interests. Our Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle. We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and HipChat for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries. Working Here AHL has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups We open-source some of our technology. See We regularly talk at leading industry conferences, and tweet about relevant technology and how we're using it. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames, and continually strive to make our environment a great place in which to work. We believe that agile working allows us to deliver the best business outcomes for our clients and investors as well as having a positive impact on life / work balance and the wellbeing of our staff. We are simultaneously committed to "levelling the playing field" and believe that agile working promotes inclusivity across teams, regions and business units. We organise regular social events, everything from photography through climbing, karting, wine tasting and monthly team lunches We have annual away days and off-sites for the whole team As well as PC's and Macs, in our office you'll also find numerous pieces of cool tech such as light cubes and 3D printers, guitars, ping-pong and table-football, and a piano We offer competitive compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance and sponsoring academic and professional qualifications. Technology and Business Skills At AHL we strive to hire only the brightest and best and most highly skilled and passionate technologists. Essential Exceptional technology skills; recognised by your peers as an expert in your domain A keen interest and understanding of financial markets and instruments A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches Strong knowledge of Python Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment bank Experience of web based development and visualisation technology for portraying large and complex data sets and relationships Experience of machine learning techniques, natural language processing and related libraries and frameworks e.g. scikit-learn, Tensorflow Personal Attributes Strong academic record and a degree with high mathematical and computing content e.g. Computer Science, Mathematics, Engineering or Physics from a leading university Craftsman-like approach to building software; takes pride in engineering excellence and instils these values in others Demonstrable passion for technology e.g. personal projects, open-source involvement Intellectually robust with a keenly analytic approach to problem solving Self-organised with the ability to effectively manage time across multiple projects and with competing business demands and priorities Focused on delivering value to the business with relentless efforts to improve process Strong interpersonal skills; able to establish and maintain a close working relationship with quantitative researchers, traders and senior business people alike Confident communicator; able to argue a point concisely and deal positively with conflicting views Work-Life Balance and Benefits at Man Man Group is proud to provide the best working environment possible for all of its employees, and we are committed to equality of opportunity. At Man Group we believe that a diverse workforce is a critical factor in the success of our business, and this is embedded in our culture and values. We run a number of external and internal initiatives, partnerships and programmes that help us to attract and develop talent from diverse backgrounds and encourage diversity and inclusion across our firm and industry Man Group is also a Signatory of the Women in Finance Charter. Man Group supports many charities, and global initiatives. We support professional training and development, and requests for flexible or part-time working. Employees are also offered two 'Mankind' days of paid leave per year as part of the Man Charitable Trust's community volunteering programme. We offer comprehensive, firm-wide employee benefits including competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Additional benefits are tailored to local markets and may include private medical coverage, discounted gym membership and wellbeing programmes.
Master's degree in Computer Science, a related field, or equivalent practical experience. Candidates will typically have 5 years of experience with software development in C and C++, and with data structures/algorithms. Experience in embedded development. Experience with mobile security, debugging. Preferred qualifications: Experience with phone security design, development and lifecycle. Experience in authentication, encryption, certificate management, or operating system security. Experience in Hardware System Architecture, Cryptography, Security Analysis, Security-Enhanced Linux, Linux Kernel Real-Time Operating System, Android BSP Security Testing, Rust, Python. Experience with open source development. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Work on next generation Pixel security designs and projects. Harden system software components criticial to Pixel security. Research design and develop cutting edge security features for future Pixel devices. Improve infrastructures for fuzzing, testing and Continuous integration (CI). Develop technical solutions to help mitigate security vulnerabilities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
May 01, 2024
Full time
Master's degree in Computer Science, a related field, or equivalent practical experience. Candidates will typically have 5 years of experience with software development in C and C++, and with data structures/algorithms. Experience in embedded development. Experience with mobile security, debugging. Preferred qualifications: Experience with phone security design, development and lifecycle. Experience in authentication, encryption, certificate management, or operating system security. Experience in Hardware System Architecture, Cryptography, Security Analysis, Security-Enhanced Linux, Linux Kernel Real-Time Operating System, Android BSP Security Testing, Rust, Python. Experience with open source development. About the job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible. Responsibilities Work on next generation Pixel security designs and projects. Harden system software components criticial to Pixel security. Research design and develop cutting edge security features for future Pixel devices. Improve infrastructures for fuzzing, testing and Continuous integration (CI). Develop technical solutions to help mitigate security vulnerabilities. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Senior level AI Engineer, NLP, Large Language Models, ML, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
May 01, 2024
Full time
Senior level AI Engineer, NLP, Large Language Models, ML, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
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
May 01, 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
Xpertise is looking for a Director of Global Artificial Intelligence to join a fledgling scale-up on some of the most advanced projects we've seen to date in the AI, software engineering, and data space. Please see further details below: For the next stage of growth, the firm has acquired a significant amount of funding to bolster its AI capabilities to enhance existing internal processes, and improve customer engagement. We're also looking for a Head of Tech / Software Engineering and a Head of Data Science to assist this AI Director. Key details: Salary: Likely £100,000-150,000 + mega bonus + share options + private healthcare Location: Can be remote-based with offices in the East Midlands and London Future outlook: We're looking for an ambitious leader who can make the jump to Chief AI Officer and report directly to the CEO Experience and Skills Desired: Demonstrated success in building and leading diverse, high-performing teams in a fast-paced, collaborative environment. Exposure to software engineering and modern data engineering practices Passion for innovation and a commitment to ethical AI practices. Native or fluency in oral and written English Strong business acumen and the ability to translate technical concepts into strategic business opportunities. Can work closely with senior stakeholders, including CIO, CEO, CFO and COO Deep understanding of AI technologies, including machine learning (MLOps), deep learning, natural language processing, and computer vision. Versatile skill set across data and doesn't mind working outside a standard job description! Role overview: The AI Director will be pivotal in driving the organisation's AI-powered transformation and shaping its future success in an increasingly data-driven world. With a huge budget to craft a short-to-long-term AI strategy, this role is among the most exciting we've seen to date! From month one, you'll work closely with Billy Hall to build a team of all-rounded data and software engineering superstars. Interested? Please apply with your CV or message Billy Hall on LinkedIn. Xpertise acts as an employment agency.
May 01, 2024
Full time
Xpertise is looking for a Director of Global Artificial Intelligence to join a fledgling scale-up on some of the most advanced projects we've seen to date in the AI, software engineering, and data space. Please see further details below: For the next stage of growth, the firm has acquired a significant amount of funding to bolster its AI capabilities to enhance existing internal processes, and improve customer engagement. We're also looking for a Head of Tech / Software Engineering and a Head of Data Science to assist this AI Director. Key details: Salary: Likely £100,000-150,000 + mega bonus + share options + private healthcare Location: Can be remote-based with offices in the East Midlands and London Future outlook: We're looking for an ambitious leader who can make the jump to Chief AI Officer and report directly to the CEO Experience and Skills Desired: Demonstrated success in building and leading diverse, high-performing teams in a fast-paced, collaborative environment. Exposure to software engineering and modern data engineering practices Passion for innovation and a commitment to ethical AI practices. Native or fluency in oral and written English Strong business acumen and the ability to translate technical concepts into strategic business opportunities. Can work closely with senior stakeholders, including CIO, CEO, CFO and COO Deep understanding of AI technologies, including machine learning (MLOps), deep learning, natural language processing, and computer vision. Versatile skill set across data and doesn't mind working outside a standard job description! Role overview: The AI Director will be pivotal in driving the organisation's AI-powered transformation and shaping its future success in an increasingly data-driven world. With a huge budget to craft a short-to-long-term AI strategy, this role is among the most exciting we've seen to date! From month one, you'll work closely with Billy Hall to build a team of all-rounded data and software engineering superstars. Interested? Please apply with your CV or message Billy Hall on LinkedIn. Xpertise acts as an employment agency.
JOB AD: Key Responsibilities: Carry out research on recommender systems and apply to practical scenarios such as advertisement, cross-domain etc, while preserving user privacy Literature review and investigate the state of the art regarding recommendation systems including mutimodal information fused recommendation 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: Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing
Apr 30, 2024
Full time
JOB AD: Key Responsibilities: Carry out research on recommender systems and apply to practical scenarios such as advertisement, cross-domain etc, while preserving user privacy Literature review and investigate the state of the art regarding recommendation systems including mutimodal information fused recommendation 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: Experience in recommender systems and distributed, decentralized, or federated learning or natural language processing
Principal AI Engineer, NLP, Large Language Models, Drug Discovery West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus We're looking for an MSc/PhD level AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal AI Engineer will specialise in NLP/LLMs bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Responsibilities: • Co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP and, specifically, LLMs to support drug discovery • Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery • Review and development of existing platform engineering solutions to support bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts You will need: • MSc/PhD and ideally 4+ years post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models • Experience in Network Science and modern statistical methods would be a plus • Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment • Strong interpersonal skills which support team cohesion while being able to provide direct and constructive feedback and solutions • Well-developed communication skills with demonstrated ability to communicate effectively both in writing (reports, publications in scientific journals, etc) and via oral presentations • Ability to think critically and demonstrate troubleshooting and problem-solving skills • Experience of collaborative projects with other biopharma partners would be an advantage Knowledge/experience - will include several of: • The application of AI/ML approaches to problems in the Life Sciences • NLP and Large Language Models eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. • Tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps • Cloud native technologies and approaches such as Docker and Kubernetes • Cloud computing environments with a preference for AWS • UX/UI design and deployment an advantage • Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications • Data management techniques for large-scale scientific data sets • High level programming skills in a number of modern programming languages such as Java, C/C++, R and Python • SOA NLP APIs and Machine Learning / Deep Learning frameworks • Translating user requirements into workflow designs/specifications • Building and optimising data processing pipelines e.g. Nextflow/Nextflow Tower, SQL/NoSQL • Experience with graph databases is highly desirable You will be joining a stunning, world class, tech team of problem solvers. Some of the wider benefits: BUPA for self + partner/family Discretionary bonus 10% employer pension contribution Principal AI Scientist Principal AI Engineer Machine Learning Engineer NLP Engineer Job Types: Full-time, Permanent Pay: £73,685.00-£100,767.00 per year Benefits: • Company pension • Private medical insurance • Work from home Schedule: • Monday to Friday Supplemental pay types: • Bonus scheme Application question(s): • Are you comfortable working from a west London office 4 days per week? Education: • Bachelor's (required) Work authorisation: • United Kingdom (required) Work Location: Hybrid remote in London Reference ID: RWAAIEngineer Company: Richard Wheeler Associates Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
Apr 30, 2024
Full time
Principal AI Engineer, NLP, Large Language Models, Drug Discovery West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus We're looking for an MSc/PhD level AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal AI Engineer will specialise in NLP/LLMs bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Responsibilities: • Co-developing and implementing cutting-edge in-house AI capabilities and infrastructure primarily in the domain of NLP and, specifically, LLMs to support drug discovery • Responsibility for software and data engineering projects and development/maintenance of computational platform infrastructure to support AI-driven drug discovery • Review and development of existing platform engineering solutions to support bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts You will need: • MSc/PhD and ideally 4+ years post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models • Experience in Network Science and modern statistical methods would be a plus • Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment • Strong interpersonal skills which support team cohesion while being able to provide direct and constructive feedback and solutions • Well-developed communication skills with demonstrated ability to communicate effectively both in writing (reports, publications in scientific journals, etc) and via oral presentations • Ability to think critically and demonstrate troubleshooting and problem-solving skills • Experience of collaborative projects with other biopharma partners would be an advantage Knowledge/experience - will include several of: • The application of AI/ML approaches to problems in the Life Sciences • NLP and Large Language Models eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. • Tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps • Cloud native technologies and approaches such as Docker and Kubernetes • Cloud computing environments with a preference for AWS • UX/UI design and deployment an advantage • Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications • Data management techniques for large-scale scientific data sets • High level programming skills in a number of modern programming languages such as Java, C/C++, R and Python • SOA NLP APIs and Machine Learning / Deep Learning frameworks • Translating user requirements into workflow designs/specifications • Building and optimising data processing pipelines e.g. Nextflow/Nextflow Tower, SQL/NoSQL • Experience with graph databases is highly desirable You will be joining a stunning, world class, tech team of problem solvers. Some of the wider benefits: BUPA for self + partner/family Discretionary bonus 10% employer pension contribution Principal AI Scientist Principal AI Engineer Machine Learning Engineer NLP Engineer Job Types: Full-time, Permanent Pay: £73,685.00-£100,767.00 per year Benefits: • Company pension • Private medical insurance • Work from home Schedule: • Monday to Friday Supplemental pay types: • Bonus scheme Application question(s): • Are you comfortable working from a west London office 4 days per week? Education: • Bachelor's (required) Work authorisation: • United Kingdom (required) Work Location: Hybrid remote in London Reference ID: RWAAIEngineer Company: Richard Wheeler Associates Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
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.
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
Data Scientist - Central London Data Scientist with experience in machine learning, SQL, Python / R experience is required by a leading research company in Central London. As the Data Scientist, you will design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Any experience of Machine Learning would be a big advantage as this is an area that they want to move into, so something that will be huge for them in the coming years Experience ideally required: Either a PhD or MSc in a quantitative research field with at least 1 year of experience in a professional data-science position or 3+ years of experience in a Data Science position Strong programming skills as evidenced by earlier work in data science or software engineering, including experience with standard libraries for data science (NumPy, Pandas, Scikit-Learn, Keras or equivalents) Extensive experience of completing complex data analysis and create proposals / provide recommendations on the back of analysis proficiency in data mining, mathematics, and statistical analysis Solid knowledge of machine learning, natural language processing and ability to develop new algorithms. Be an advocate of the advantages of using machine learning to increase efficiency in the data moving forward Ideally some proven predictive modelling, forecasting or analytical experience with strong SQL, Python & R skills If you have the following it would be a bonus Prior research experience in Data Science or biomedical/medical research (PhD or Postdoc) as evidenced by academic publications or conference talks Experience with deep learning frameworks such as TensorFlow and PyTorch Data Scientist Responsibilities: Design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Work with the editorial team to identify opportunities to leverage our proprietary recommendation data and the expertise to create research evaluation models. Collaborate with the Product team to develop products based on new data pipelines and models Create data visualizations in collaboration with their technology teams Champion data quality and integrity, highlighting data quality issues and suggesting appropriate solutions. Share knowledge and experience, and analytical/modelling best practices as well as mentoring and development of team member skills My client is looking to pay a salary of between £50,000 - £60,000. They offer some great benefits, including a 35 hour week and flexible work, i.e. working from home. To apply press apply now or send your CV to or contact me on LinkedIn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.
Nov 10, 2021
Full time
Data Scientist - Central London Data Scientist with experience in machine learning, SQL, Python / R experience is required by a leading research company in Central London. As the Data Scientist, you will design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Any experience of Machine Learning would be a big advantage as this is an area that they want to move into, so something that will be huge for them in the coming years Experience ideally required: Either a PhD or MSc in a quantitative research field with at least 1 year of experience in a professional data-science position or 3+ years of experience in a Data Science position Strong programming skills as evidenced by earlier work in data science or software engineering, including experience with standard libraries for data science (NumPy, Pandas, Scikit-Learn, Keras or equivalents) Extensive experience of completing complex data analysis and create proposals / provide recommendations on the back of analysis proficiency in data mining, mathematics, and statistical analysis Solid knowledge of machine learning, natural language processing and ability to develop new algorithms. Be an advocate of the advantages of using machine learning to increase efficiency in the data moving forward Ideally some proven predictive modelling, forecasting or analytical experience with strong SQL, Python & R skills If you have the following it would be a bonus Prior research experience in Data Science or biomedical/medical research (PhD or Postdoc) as evidenced by academic publications or conference talks Experience with deep learning frameworks such as TensorFlow and PyTorch Data Scientist Responsibilities: Design and implement algorithms for research evaluation. You will lead this project in collaboration with a mix of teams including product and technology teams to build, develop and deploy new data pipelines and research evaluation models. Work with the editorial team to identify opportunities to leverage our proprietary recommendation data and the expertise to create research evaluation models. Collaborate with the Product team to develop products based on new data pipelines and models Create data visualizations in collaboration with their technology teams Champion data quality and integrity, highlighting data quality issues and suggesting appropriate solutions. Share knowledge and experience, and analytical/modelling best practices as well as mentoring and development of team member skills My client is looking to pay a salary of between £50,000 - £60,000. They offer some great benefits, including a 35 hour week and flexible work, i.e. working from home. To apply press apply now or send your CV to or contact me on LinkedIn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter and LinkedIn - Circle Recruitment.
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.
Nov 09, 2021
Full time
Ofcom is the regulator for the communications services that we use and rely on each day. We make sure people get the best from their broadband, home phone and mobile services, as well as keeping an eye on TV and radio. We also oversee the universal postal service, look after the airwaves used by wireless devices, and also help to make sure people don't get scammed and are protected from bad practices, and we have recently taken on the regulation of video-sharing platforms, and we are preparing for a role in protecting people from online harms. Protecting consumers is at the heart of what we do. Our culture is clear - we live by our values: Empowerment; Excellence; Collaboration; Agility and Respect. These define how we work to deliver our purpose, now and in the future. The behaviours which support these values set the path for a fully inclusive and innovative culture at Ofcom. We focus not only on what we do, but how we do it. We pride ourselves on being an organisation of people who genuinely care about helping others. The Data Innovation Hub works with colleagues across the organisation to improve Ofcom's capability to process, analyse and extract insights from data. For example, we crunch terabytes of data to give us an unparalleled understanding of the coverage and performance of the UK's broadband and mobile networks. And we're exploring how artificial intelligence and machine learning can help us extract more insights from complex data sets or help us do things more efficiently. Purpose of the role This role will support the delivery of our data strategy and growing data agenda by bringing an open mind and strong intellectual curiosity to develop our data analysis capability. Identifying and solving complex business problems with data science and ensuring that we continue to innovate and leverage our data. We are looking for talent to join a central team that can work with all areas of regulatory work, assisting and working alongside colleagues across the organisation, including those working on the new online safety regime. by, exploring the application of deep learning for anomaly detection, combining social media analysis and natural language processing to understand issues affecting consumers or developing new ways to visualise and interact with our geospatial data. Expectations To work collaboratively with colleagues in the Data Innovation Hub, policy and operations teams to understand where data science can add value and deliver innovative projects Work with data engineers to source, access, manipulate and engineer data across a range of sources and data formats Build credible statistical models from a range of data sources data and use best coding practices to generate reproducible work in an agile way. Taking projects through to productions where appropriate Explore and visualise data to present a story in a meaningful way, and communicate new insights to a range of technical and non-technical audiences Maintain an awareness of, and utilise an evolving range of data analysis tools and techniques, including open source, some of which must be learnt quickly, as and when required Promote data science skills and inspire best practice in other teams, building an understanding the variety of data science methods and how they can be effectively applied to solve problems Ensuring compliance with our relevant data and information security principles Support colleagues in engagement with external stakeholders on a range of data and data science related topics. Essential Skills & Knowledge You will need to demonstrate knowledge or experience of: Translating complex business problems into analytical projects, then leading or delivering impactful data or analysis with tangible outcomes. A range of data and analytic tools (such as Python, R, Power BI, Azure Databricks, or equivalent), and cloud computing environments. Machine Learning, statistics, or other data analysis tools and techniques. In particular, but not limited to, we would welcome applications from candidates with experience in the following areas of data science: Natural Language Processing Geospatial Data Science Graphs / Network Analytics Neural Networks and Deep Learning Additional experience: Applying scientific methods through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions, including reviewing the work of others Acting as a thought leader within the Data Science community, including through management and development of junior staff and others' projects. Exploring and advocating ways of utilising new data science tools and techniques to tackle business and organisational challenges, drawing on the application of, and innovation in communication services industries, academia, and other sectors. Strong interpersonal skills and evidence of ability to interact effectively with a range of stakeholders, both internally and externally, to communicate technical concepts across organisational and technical boundaries. Working independently, demonstrating flexibility and adaptability, and supporting a culture of collaboration and trust. Previous experience in the one of our regulatory areas, particularly in online, would be desirable, but is not essential.