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
Apr 17, 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
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Apr 16, 2024
Full time
NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Data Science focused Solution Architect with expertise in Machine Learning (ML), Deep Learning (DL) and Data Science platforms. Exposure to inferencing technology (e.g., understanding of model compression techniques, model compilation or model serving) would be an added value. In our Solutions Architecture team, we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence. We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. We are looking for someone always thinking about artificial intelligence, someone who can maintain synergy in a fast paced, rapidly evolving field, someone able to coordinate efforts between corporate marketing, industry business development and engineering. You will be working with the latest HPC architectures coupled with the most advanced neural network models, changing the way people interact with technology. As a Solutions Architect, you will be the first line of technical expertise between NVIDIA and our customers. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key executives and managers to evangelize accelerated computing. Dynamically engaging with developers, scientific researchers, data scientists, IT managers and senior leaders is a meaningful part of the Solutions Architect role and will give you experience with a range of partners and concerns. What You'll Be Doing: Develop and demonstrate solutions based on NVIDIA's state-of-the-art AI and ML software and hardware technologies to customers. Work directly with key customers to understand their technology and provide the best solutions. Perform in-depth analysis and optimization to ensure the best performance on GPU architecture systems. This includes support in optimization of both training and inference pipelines. Partner with Engineering, Product and Sales teams to develop, plan best suitable solutions for customers. Enable development and growth of product features through customer feedback and proof-of-concept evaluations. Build industry expertise and become a contributor in integrating NVIDIA technology into Enterprise Computing architectures. What We Need to See: Excellent verbal, written communication, and technical presentation skills in Japanese. Business level English communication is also a requirement. MS/PhD in Computer Science, Data Science, Electrical/Computer, or equivalent experience Engineering, Physics, Mathematics, other Engineering fields. 3+ years of academic and/or industry experience in fields related to machine learning, deep learning and/or data science. You are excited to work with multiple levels and teams across organizations (Engineering, Product, Sales and Marketing team). You are a self-starter with attitude for growth, passion for continuous learning and sharing findings across the team. Ways to Stand Out from The Crowd: Experience running large scale distributed DL training Background with working with larger transformer-based architectures Expertise with chatbot related technologies such as ASR, TTS, LLMs, or RAG Experience using DevOps technologies such as Docker, Kubernetes, Singularity, etc Understanding of HPC systems: data center design, high speed interconnect InfiniBand, cluster storage and scheduling related design and/or management experience NVIDIA is a Learning Machine NVIDIA pioneered accelerated computing to tackle challenges no one else can solve. Our work in AI and the metaverse is transforming the world's largest industries and profoundly impacting society. Learn more about NVIDIA Company: JP02 NVIDIA Japan KK Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Clustering , Industry , Machine Learning , Neural Networks , NLP , Unspecified
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
Apr 16, 2024
Full time
Senior Applied Data Scientist - Causal AI for Demand Forecasting Location: Offsite, London, United Kingdom Area of Interest Administrative and Business Support Job Type Professional AI or Artificial Intelligence Job Id Who we are:The post-pandemic years have exposed inherent biases and limitations in expert-driven and statistical/Traditional ML-based forecasting approaches.Cisco wasn't immune and saw a 4X increase in backlog, revenue impact, and a subsequent 3X inventory increase.The Forecasting Data Science team within Global Planning is solving this by pioneering the application of Causal AI to re-invent Demand Forecasting of Cisco's product portfolio to provide breakthrough levels of regime-resilient forecast accuracy, efficiency, and prescriptive insights that enable game-changing opportunities across Cisco and its Supply Chain.The team was recognized by Gartner in their Power of Profession 2024 Supply Chain awards as one of the top 5 in the world in the Process and Technology Innovation category. Who you will work with: A high caliber and engaged team plus an eco-system of world-leading AI partners chartered with developing and operationalizing an inspectable, multi-dimensional system of causal models that provides an integrated, comprehensive, and evidence-based point-of-view of Cisco's short and long-term demand at aggregated and product levels. This team is responsible for incorporating planning, product, sales, and customer intelligence from across the enterprise and from external global macro-economic and market data that relates to the demand for Cisco's products into the structure of this system of models. The team delivers and continuously improves AI-based forecasts, forecast ranges, and financial and prescriptive insights from this system through connections with Planning and other Supply Chain and Enterprise teams for the different facets of Cisco's business. The difference you will make: You will bring your expertise, experience, and innovation to play a significant role in solving the challenges which will enable developing and implementing an industry-leading Causal AI-based forecasting system that effectively enhances decision rigor and maximizes operational efficiencies across Enterprise and Supply Chain functions at Cisco. What you will do: Develop, evolve, and sustain key elements of the Causal-AI based Forecasting system for Aggregated Demand. Excel in developing high quality, accurate, parsimonious models that are robust and have a long shelf-life. Improve the efficiency and scalability of the Forecasting System. Monitor the forecasts and key forecast performance metrics, understanding root causes of changes in the forecast and metrics as a core part of continuously improvement and customer communication. Work closely with business leads and experts in Global Planning, other Supply Chain functions, Finance, Product Management, Sales, and other Cisco organizations to understand, discover, and characterize relationships and patterns between Cisco demand and its relation to product, technology, lifecycle, supply, customer, market, competitor, sales behavior, and macro factors. Engineer model features using these factors, discover and enhance the natural segmentation for Demand based on these factors, determine causality of the factors, and incorporate into structured causal models. Develop and evolve Dashboards to expose key insights from the causal Forecasts and their drivers to accelerate and continuously improve the solution and increase stakeholder engagement and adoption. Provide integrated, reconciled, and logically sound evidence-based views for different facets of Cisco's short and long-term demand. Develop and evolve reliable approaches for uncertainty quantification to enable scenario/range forecasts. Leverage and incorporate appropriate machine learning approaches including customization of recently published research as needed to build better Causal AI solutions. Connect with stakeholders to communicate the short-and-long term AI forecasts and the changes in these forecasts. Discern and articulate the story in the forecasts and forecast changes, areas of discrepancies or differences with expert forecasts, understanding and accounting for the confidence level of these forecasts. Continuously improve different elements of this system to improve forecast accuracy and incorporate learnings from formal and informal collaborations with stakeholders and other experts into the AI system. Work with our AI vendors to enhance their platforms to improve Causal Inference based forecasting, stakeholder engagement, and decision support. Provide technical direction and coaching to less experienced data scientists and data engineers in the team, and to interns and for collaborations with Universities. Minimum Qualifications: Extensive Advanced Analytics experience with a Masters degree or some experience with a Ph.D. in a Quantitative field leveraging statistical and machine learning methods in the thesis. Strong all-round foundation in AI and machine learning, with a theoretical and practical understanding of Causal machine learning approaches. Proven modeling skills that have delivered an effective predictive solution to solve a business problem with minimal supervision Expertise in Python, with advanced data analysis and data engineering skills, including using SQL Strong Computer Science foundation Strong critical thinking, with a sharp eye for patterns and the skills to draw out the story and conclusions from data and modeling experiments in real-time. Experience in developing and operationalizing scalable ML solutions in cloud environments based on large datasets. Demonstrated structured data wrangling and mining skills that extract actionable insights from data, including in real-time hackathon-like settings. Practical knowledge of the advantages and pitfalls of different machine learning approaches, as well as a strong grounding in the theoretical foundations Excellent communication and storytelling skills with an ability to unpack complex problems, and articulate AI/ML approaches, solutions, and results for non-technical audiences. Strong growth mindset and sense of ownership. Innate passion and curiosity to understand and improve the system and connect the dots. Preferred Qualifications: Advanced Analytics experience with a Masters degree or experience with a PhD in Statistics, Mathematics or Applied Mathematics, Physics, Engineering, or related quantitative field. Experience with global financial markets, macro-economics, micro-economics, econometrics, and Corporate Finance. Substantial experience using Causal AI and Structured Causal Models in Demand Forecasting and ideally also in other complex or dynamic domains like marketing/pricing. Practical expertise and deep understanding of statistics and causal inference in time series settings. Experience with NLP, Recommender Systems, and Deep Learning methods. Understanding of Gen AI/LLMs including RAGs and fine-tuning, and Reinforcement Learning. Experience in visualization design and development with Python based libraries. Project management skills, with an ability to deliver results in a fast-paced environment. A practical and effective approach to problem-solving using AI/ML and a knack for envisioning, translating business requirements into analytics requirements, and realizing feasible data science solutions. A strong bias for action, delivering iterative results quickly rather than waiting for perfection. Why Cisco? . We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters - with people like you! Nearly every internet connection around the world touches Cisco. We're the Internet's optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it's not what we make but what we make happen which marks us out. We're helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We're helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world - whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other's backs, we recognize our accomplishments, and we grow together. We celebrate and support one another - from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we're committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don't care. Tattoos . click apply for full job details
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 16, 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.
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She/Ze must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The Candidate You will be responsible for executing end-to-end advanced analytics/data science projects. Strong technical knowledge of designing bespoke AI and ML algorithms. Sound knowledge on applying various machine learning techniques in production levels. Business understanding - capturing and proactively initiating analysis requirements and defining success metrics. Data understanding - identifying and validating sources of data. Data preparation - extracting, merging and cleaning data from a variety of sources. Communicating clear recommendations and action plans to stakeholders. Having the skills needed to exploit the data and managing the issues of data privacy and security. Leverage high technical skill and ability to support the development of innovative data solutions which can differentiate and drive growth for MEDIPROSPECTS AI. Key Activities Promotional Effectiveness, Sensitivity and ROI Modelling, Multi-channel Strategy Analysis. Innovative Segmentation and Targeting techniques, customer and geography restructures. Customer Intelligence to understand the needs and Priorities for the NHS. Sub-National Business Tool Management, analysis, including potential customer engagement. You have a strong software engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. Experienced with managing people and debugging issues in teams. Comfortable working with high-performing engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Qualifications Skills & Experience A postgraduate degree preferably PhD in a numerate discipline and a minimum of 2 years working in a hands-on technical analytics/data science role within a customer data analytics team would be beneficial though not essential. Demonstrable end-to-end analytics / data science project lifecycle experience with a track record in being able to spot opportunities and drive them through to delivery. Passionate about analytics / data science. Up-to-date with the latest developments. A desire and ability to research and pick up new tools and techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of sources and ensure high levels of data quality. Ability to build predictive models and customer segmentations. Solid understanding of machine learning techniques. Ability to communicate findings and recommendations clearly at all levels of the organisation. Strategic Thinking - Support the delivery of the MEDIPROSPECTS AI analytics strategy working alongside the Data Solutions Team Manager, by providing high quality data and analytical solutions. Interpersonal requirements Highly effective and confident communicator with the ability to influence outcomes at all levels of the business. Teamwork is crucial. To be truly successful, you will need to navigate a complex matrix, build meaningful relationships along the way, ask for help, and offer help to others. You will be part of a highly collaborative UK HR team, and as such you will work across site and country boundaries on key HR initiatives. Strong leadership skills. Resilient and can demonstrate that you embrace challenges, with tenacity to always do the right thing, while driving the business forward. Embraces diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Mediprospects AI, we're inventing for life and unlocking the human potential. Mediprospects AI is not accepting unsolicited assistance from search firms / recruitment agencies for this employment opportunity. Please, no phone calls or emails. All resumes should be submitted directly to and for any informal discussion, please contact to . Job: Market Research & Analytics Job Type: Permanent Salary: £55,000 to £80,000 per year based on experiences Job Segment: AI, Data Science, Medical, Technology, Healthcare, Research The benefits Competitive salary and share options Unlimited holiday Private health insurance Free catered lunches, snacks and team bonding Enhanced maternity & paternity leave Free healthcare and life assurance Career development, coaching and training
Apr 16, 2024
Full time
We are looking for a Data Scientist who will support our product, sales, leadership and marketing teams with insights gained from analysing data. The ideal candidate is adept at using large data sets to find opportunities for product and process optimisation and using models to test the effectiveness of different courses of action. They must have experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. He/She/Ze must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. The Candidate You will be responsible for executing end-to-end advanced analytics/data science projects. Strong technical knowledge of designing bespoke AI and ML algorithms. Sound knowledge on applying various machine learning techniques in production levels. Business understanding - capturing and proactively initiating analysis requirements and defining success metrics. Data understanding - identifying and validating sources of data. Data preparation - extracting, merging and cleaning data from a variety of sources. Communicating clear recommendations and action plans to stakeholders. Having the skills needed to exploit the data and managing the issues of data privacy and security. Leverage high technical skill and ability to support the development of innovative data solutions which can differentiate and drive growth for MEDIPROSPECTS AI. Key Activities Promotional Effectiveness, Sensitivity and ROI Modelling, Multi-channel Strategy Analysis. Innovative Segmentation and Targeting techniques, customer and geography restructures. Customer Intelligence to understand the needs and Priorities for the NHS. Sub-National Business Tool Management, analysis, including potential customer engagement. You have a strong software engineering background and are capable of engaging in technical conversations and challenging teams to arrive at strong technical decisions themselves. Experienced with managing people and debugging issues in teams. Comfortable working with high-performing engineering teams who have a strong sense of autonomy in their decision making, be it technical or product focussed. While you're great with people and adept at managing relationships, you still keep up-to-date with the latest technical trends and shifts in order to maintain and enhance your understanding of the challenges your teams face. Qualifications Skills & Experience A postgraduate degree preferably PhD in a numerate discipline and a minimum of 2 years working in a hands-on technical analytics/data science role within a customer data analytics team would be beneficial though not essential. Demonstrable end-to-end analytics / data science project lifecycle experience with a track record in being able to spot opportunities and drive them through to delivery. Passionate about analytics / data science. Up-to-date with the latest developments. A desire and ability to research and pick up new tools and techniques quickly is essential. Some Experience in running various methods like Regression, Random forest, k-NN, k-Means, boosted trees, SVM, Neural Network, text mining, NLP, statistical modelling, data mining, exploratory data analysis, statistics (hypothesis testing, descriptive statistics). Experience of manipulating large quantities of high-dimensional data. Ability to extract, clean, and combine data from a variety of sources and ensure high levels of data quality. Ability to build predictive models and customer segmentations. Solid understanding of machine learning techniques. Ability to communicate findings and recommendations clearly at all levels of the organisation. Strategic Thinking - Support the delivery of the MEDIPROSPECTS AI analytics strategy working alongside the Data Solutions Team Manager, by providing high quality data and analytical solutions. Interpersonal requirements Highly effective and confident communicator with the ability to influence outcomes at all levels of the business. Teamwork is crucial. To be truly successful, you will need to navigate a complex matrix, build meaningful relationships along the way, ask for help, and offer help to others. You will be part of a highly collaborative UK HR team, and as such you will work across site and country boundaries on key HR initiatives. Strong leadership skills. Resilient and can demonstrate that you embrace challenges, with tenacity to always do the right thing, while driving the business forward. Embraces diversity and has professional experience in working in different places, different industries and different geographies. Ability to form impactful and trusted partnerships across the network and ensure sustained, fruitful and meaningful collaboration with all relevant stakeholders. Your role at Mediprospects.ai is integral to helping the world meet new breakthroughs that affect generations to come, and we're counting on your skills and inventiveness to help make meaningful contributions to global medical advancement. At Mediprospects AI, we're inventing for life and unlocking the human potential. Mediprospects AI is not accepting unsolicited assistance from search firms / recruitment agencies for this employment opportunity. Please, no phone calls or emails. All resumes should be submitted directly to and for any informal discussion, please contact to . Job: Market Research & Analytics Job Type: Permanent Salary: £55,000 to £80,000 per year based on experiences Job Segment: AI, Data Science, Medical, Technology, Healthcare, Research The benefits Competitive salary and share options Unlimited holiday Private health insurance Free catered lunches, snacks and team bonding Enhanced maternity & paternity leave Free healthcare and life assurance Career development, coaching and training
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring. Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines. Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph. Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science. Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci. Participate in and sometimes lead various agile rituals and related practices. You Have: Minimum 5, ideally 8+ years of experience working as an ML engineer. Minimum 1, ideally 3+ years technical leadership experience, including leading 5-10 ICs technically on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area.A proven track record of delivering complex ML projects working alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of successfully delivering robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you. You have experience working in cross-functional teams with product managers, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team. Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders. A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
Apr 14, 2024
Full time
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring. Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines. Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph. Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science. Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci. Participate in and sometimes lead various agile rituals and related practices. You Have: Minimum 5, ideally 8+ years of experience working as an ML engineer. Minimum 1, ideally 3+ years technical leadership experience, including leading 5-10 ICs technically on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area.A proven track record of delivering complex ML projects working alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of successfully delivering robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you. You have experience working in cross-functional teams with product managers, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team. Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders. A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
Position Overview: We are seeking a talented Data Scientist with expertise in machine learning and natural language processing to join our team on a 6-month contract basis. As a Data Scientist, you will be responsible for developing and deploying advanced ML models and NLP algorithms to extract valuable insights from large datasets. Key Responsibilities: Utilize machine learning techniques to design, implement, and optimize predictive models for various business applications. Develop and deploy NLP algorithms to extract meaningful information from unstructured text data. Collaborate with cross-functional teams to identify opportunities for leveraging data science to solve business challenges. Conduct exploratory data analysis to uncover trends, patterns, and anomalies in the data. Evaluate the performance of ML and NLP models and implement enhancements as needed. Stay current with the latest advancements in data science, ML, and NLP research and technologies. This is a 6-month contract position with the possibility of extension based on project needs and performance. The position is fully remote paying 450 per day Outside IR35. If you are interested please send me a copy of your latest CV to removed) alongside your expected day rate so we can discuss further.
Apr 12, 2024
Contractor
Position Overview: We are seeking a talented Data Scientist with expertise in machine learning and natural language processing to join our team on a 6-month contract basis. As a Data Scientist, you will be responsible for developing and deploying advanced ML models and NLP algorithms to extract valuable insights from large datasets. Key Responsibilities: Utilize machine learning techniques to design, implement, and optimize predictive models for various business applications. Develop and deploy NLP algorithms to extract meaningful information from unstructured text data. Collaborate with cross-functional teams to identify opportunities for leveraging data science to solve business challenges. Conduct exploratory data analysis to uncover trends, patterns, and anomalies in the data. Evaluate the performance of ML and NLP models and implement enhancements as needed. Stay current with the latest advancements in data science, ML, and NLP research and technologies. This is a 6-month contract position with the possibility of extension based on project needs and performance. The position is fully remote paying 450 per day Outside IR35. If you are interested please send me a copy of your latest CV to removed) alongside your expected day rate so we can discuss further.
Job Description Data Scientist Fully Remote Salary - £55,000 - £75,000 DOE My client are looking for a Data Scientist with 5 or more years of demonstrable experience to work with our Intelligence team on building a semantic, local grammar based system. They are a leading workforce optimization platform worth £2.8 billion. As part of your role you will be able to architect and solve complex problems with the best tools you can find. You will collaborate on the development of the data lake and data pipe lines, as well as on the research and develop of Natural Language Processing and Machine Learning algorithms. You will also assist in product development, looking at things from a data perspective and be responsible for key textual data problems, suggestions, and deep search. Skills Requirements - Experience with Python. Knowledge of other languages will be beneficial (Ruby or Scala) - Keen interest in cutting edge ML/NLP solutions and technologies. - Ability to quickly mock up solutions using one of common ML/NLP libraries (like SpaCy, OpenNLP, Gensim, NLTK and so on). - Experience with AWS services ( Athena, lambdas, step functions, SageMaker...) - Strong Database knowledge ( non relational and graph). - Knowledge of search systems (like Elasticsearch). - An ability to draft a service for subsequent usage by other team members. - Good writing skills, with a passion for documenting. - Excellent knowledge of English (spoken and written). - Work in an agile team. - Understand the structure of existing applications and how to work with them. - Interact daily with members of your team and with the broader Engineering team. - Review commits of other team members. If this sounds like you please apply or contact Steven directly from Jefferson Frank: E: P:
Sep 11, 2021
Full time
Job Description Data Scientist Fully Remote Salary - £55,000 - £75,000 DOE My client are looking for a Data Scientist with 5 or more years of demonstrable experience to work with our Intelligence team on building a semantic, local grammar based system. They are a leading workforce optimization platform worth £2.8 billion. As part of your role you will be able to architect and solve complex problems with the best tools you can find. You will collaborate on the development of the data lake and data pipe lines, as well as on the research and develop of Natural Language Processing and Machine Learning algorithms. You will also assist in product development, looking at things from a data perspective and be responsible for key textual data problems, suggestions, and deep search. Skills Requirements - Experience with Python. Knowledge of other languages will be beneficial (Ruby or Scala) - Keen interest in cutting edge ML/NLP solutions and technologies. - Ability to quickly mock up solutions using one of common ML/NLP libraries (like SpaCy, OpenNLP, Gensim, NLTK and so on). - Experience with AWS services ( Athena, lambdas, step functions, SageMaker...) - Strong Database knowledge ( non relational and graph). - Knowledge of search systems (like Elasticsearch). - An ability to draft a service for subsequent usage by other team members. - Good writing skills, with a passion for documenting. - Excellent knowledge of English (spoken and written). - Work in an agile team. - Understand the structure of existing applications and how to work with them. - Interact daily with members of your team and with the broader Engineering team. - Review commits of other team members. If this sounds like you please apply or contact Steven directly from Jefferson Frank: E: P:
Harnham
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Feb 15, 2019
Harnham
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Feb 15, 2019
Harnham
Machine Learning Engineer - Natural Language Processing OXFORDSHIRE £40,000 - £90,000 INTRODUCTION We are working with an internationally recongised client based in Oxfordshire, who are looking to build out a team of NLP Research Data Scientists to help developing their current SaaS product offering. The problems are centred entirely around NLP, Sentiment Analysis and Deep Learning. THE COMPANY Our client are global leaders within academic publishing, but might just be on of the biggest companies you have never heard of! Off the back of their recent partnerships with major brands, they are looking to expand their Data Science team and further develop their product offering. THE ROLE This position is a good fit for all ranges of experience, but NLP and Deep Learning is at the core of the work. The challenge for anyone joining the team is to balance multiple porjects on the go simultaneously, all the way from Proof of Concept through to production. YOUR SKILLS AND EXPERIENCE As a Data Scientist the remit and requirements are as follows: A passion for Data Science and Machine Learning Strong development skills in Python or Java Experience in developing machine learning and deep learning solutions and products Deep understanding and experience in Text Mining and Natural Language Processing (NLP) Experience with Keras, TensorFlow, PyTorch, sklearn, liblinear, Weka, or OpenNLP etc. Proven ability to train, tune and evaluate ML models Academic background in Computer Science or Machine Learning related fields Team player who enjoys working collaboratively THE BENEFITS Competitive salary Contributory pension scheme Opportunity to grow in a fast-moving and dynamic organisation with like-minded colleagues. HOW TO APPLY To find out more about this opportunity and the other Data Science opportunities that we are representing at Harnham please apply via the link below or contact Mark Proud directly ()
Harnham
Data Scientist - Computer Vision London, UK/ Remote Working Up to £100,000 salary New opportunity for a Data Scientist with a PhD in a relevant field to join an innovative Research and Development team, working on complex Computer Vision and NLP projects. Strong academic background essential! Apply Now! OVERVIEW This strong academic team a spin-off Research and Development hub of a larger holding company, they are applying cutting edge Machine Learning and Deep Learning techniques to complex projects in Computer Vision and Natural Language Processing. They are looking for a Data Scientist/ Deep Learning Researcher to join them in solving these challenging problems through application of advanced deep learning and machine learning techniques such as convolutional and recurrent neural networks. Your responsibilities as a Deep Learning Data Scientist will include but not be limited to: Researching cutting-edge machine learning and deep learning techniques. Applying advanced ML and DL techniques to complex computer vision and NLP problems to help complete a variety of interesting projects. Build advanced models using the applied research techniques to drive the success of the projects. Collaborate effectively with other top academics to deliver on complex Computer Vision Deep Learning projects. YOUR SKILLS AND EXPERIENCE PhD from top university in relevant field where you were researching deep learning techniques. Proven experience in applying deep learning research to real world problems. Strong understanding of Machine Learning and Deep Learning techniques. Preferably some post-doc or commercial experience in applying deep learning techniques and building machine learning models (but not essential). THE BENEFITS Up to £100,000 salary (dependent on level) Very flexible working HOW TO APPLY Please register your interest by sending your CV to Luke Frost via the Apply Link on this page.
Feb 15, 2019
Harnham
Data Scientist - Computer Vision London, UK/ Remote Working Up to £100,000 salary New opportunity for a Data Scientist with a PhD in a relevant field to join an innovative Research and Development team, working on complex Computer Vision and NLP projects. Strong academic background essential! Apply Now! OVERVIEW This strong academic team a spin-off Research and Development hub of a larger holding company, they are applying cutting edge Machine Learning and Deep Learning techniques to complex projects in Computer Vision and Natural Language Processing. They are looking for a Data Scientist/ Deep Learning Researcher to join them in solving these challenging problems through application of advanced deep learning and machine learning techniques such as convolutional and recurrent neural networks. Your responsibilities as a Deep Learning Data Scientist will include but not be limited to: Researching cutting-edge machine learning and deep learning techniques. Applying advanced ML and DL techniques to complex computer vision and NLP problems to help complete a variety of interesting projects. Build advanced models using the applied research techniques to drive the success of the projects. Collaborate effectively with other top academics to deliver on complex Computer Vision Deep Learning projects. YOUR SKILLS AND EXPERIENCE PhD from top university in relevant field where you were researching deep learning techniques. Proven experience in applying deep learning research to real world problems. Strong understanding of Machine Learning and Deep Learning techniques. Preferably some post-doc or commercial experience in applying deep learning techniques and building machine learning models (but not essential). THE BENEFITS Up to £100,000 salary (dependent on level) Very flexible working HOW TO APPLY Please register your interest by sending your CV to Luke Frost via the Apply Link on this page.