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 18, 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
Senior Data Scientist/AI NLP Engineer At QuantRisk, you'll have the chance to build a career as unique as you are, with the inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help QuantRisk become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Opportunity We live in a data rich World and more & more of our personal and business interactions are being driven by the application of advanced analytics and artificial intelligence (AI). At QuantRisk, we are helping organisations transform, to continually improve the way they 'do business' and lead in the market. We are doing this by challenging the norm, by taking on the 'too hard' problems and by helping organisations become insight driven . We have a fast-growing Data & Analytics practice within Consulting, where Data Science & AI NLP Engineers are at the tip of the spear for driving growth. Whether you are have a passion for NLP, love playing with Graphs or like writing AI-powered chat bots, we would really like to hear from you. Your Responsibilities We are looking to bring in talented people like you across all our grades. No day would be 'typical', but you could expect to be involved in some or all of the activities listed below during the course of your career: Leading the pursuit of new work through client conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring Data Science & AI Engineers Managing bid response work to articulate what value we can bring Skills & Attributes for Success Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the 'too hard' business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff. If you have some or all of the below, then get in touch: Professional experience in delivery of advanced analytics/DS/AI projects Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science libraries and understand how to apply them to various problem types Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Data wrangling and manipulation techniques Ideally, you'll also have Experience of working on cloud platforms Used a data visualisation technology, like Tableau, Power BI or Qlik Software engineering experience (e.g. coding standards, version control, testing, review) Experience of IoT Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail What we look for We're interested in intellectually curious people, with a genuine passion for finding and implementing innovative ways nurture growth. You'll also need excellent communication and negotiation skills. We'll look to you to have the ability to express big ideas to influence C-suite leaders while also having technical skills to architect the right solutions for clients. If you're ready to take ownership of a team that's poised to take the industry by storm, this role is for you. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply now.
May 15, 2024
Full time
Senior Data Scientist/AI NLP Engineer At QuantRisk, you'll have the chance to build a career as unique as you are, with the inclusive culture and technology to become the best version of you. And we're counting on your unique voice and perspective to help QuantRisk become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The Opportunity We live in a data rich World and more & more of our personal and business interactions are being driven by the application of advanced analytics and artificial intelligence (AI). At QuantRisk, we are helping organisations transform, to continually improve the way they 'do business' and lead in the market. We are doing this by challenging the norm, by taking on the 'too hard' problems and by helping organisations become insight driven . We have a fast-growing Data & Analytics practice within Consulting, where Data Science & AI NLP Engineers are at the tip of the spear for driving growth. Whether you are have a passion for NLP, love playing with Graphs or like writing AI-powered chat bots, we would really like to hear from you. Your Responsibilities We are looking to bring in talented people like you across all our grades. No day would be 'typical', but you could expect to be involved in some or all of the activities listed below during the course of your career: Leading the pursuit of new work through client conversations and presentations Research & development in support of new AI based offerings Leading & delivering client solutions using a range of DS/AI technologies Learning about new technologies/research and how they could be applied for the benefit of our clients Mentoring and managing other experienced and aspiring Data Science & AI Engineers Managing bid response work to articulate what value we can bring Skills & Attributes for Success Clearly your technical expertise is welcomed and expected, but we are also looking for your experience and guidance to drive the right solution and approach for the problem at hand. To be transformative, we often have to go after the 'too hard' business problem, which requires our people to be creative and really challenge themselves to deliver. We want you to be thinking how you can apply your knowledge and push yourself to learn more in order to solve the difficult stuff. If you have some or all of the below, then get in touch: Professional experience in delivery of advanced analytics/DS/AI projects Excellent understanding of mathematical, probability & statistics principles, and of algorithm theory Detailed knowledge of a range of AI techniques including, graph data analytics, time series, NLP, deep learning, supervised and unsupervised machine learning etc Programming skills in Python or R, Spark and SQL Worked with open source data science libraries and understand how to apply them to various problem types Experience of using the latest Data science platforms (e.g. Databricks, AzureML) and frameworks (e.g. Tensorflow, MXNet, scikit-learn) Data wrangling and manipulation techniques Ideally, you'll also have Experience of working on cloud platforms Used a data visualisation technology, like Tableau, Power BI or Qlik Software engineering experience (e.g. coding standards, version control, testing, review) Experience of IoT Domain knowledge across public sector, utilities, pharma, consumer products, telco or retail What we look for We're interested in intellectually curious people, with a genuine passion for finding and implementing innovative ways nurture growth. You'll also need excellent communication and negotiation skills. We'll look to you to have the ability to express big ideas to influence C-suite leaders while also having technical skills to architect the right solutions for clients. If you're ready to take ownership of a team that's poised to take the industry by storm, this role is for you. What we offer We offer a competitive remuneration package where you'll be rewarded for your individual and team performance. Our comprehensive Total Rewards package includes support for flexible working and career development, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer: Continuous learning: You'll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We'll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We'll give you the insights, coaching and confidence to be the leader the world needs Diverse and inclusive culture: You'll be embraced for who you are and empowered to use your voice to help others find theirs. If you can demonstrate that you meet the criteria above, please contact us as soon as possible. Apply now.
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
May 15, 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
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 15, 2024
Full time
NLP Machine Learning Engineer Tech Company Permanent £60,000 - £80,000 + benefits London (hybrid - 1 day a week in the office minimum) Xcede are excited to be partnering with an AI focused Tech company who are looking to add to their Data Science team. They are looking for an NLP focused ML Engineer who is experienced in building models and deploying them. Their cutting edge product is NLP focused, so you would have the opportunity to work on lots of unstructured data and make an impact with their Financial Services clients. They have lots of exciting projects working on Large Language Models. Key skills/experience required: • A degree in STEM subject • 2+ years industry experience • Solid experience building ML models • Industry experience focused on using NLP techniques to train models • Experience developing ML solutions to Cloud (AWS ideally) • Excellent grasp of Python/SQL + machine learning core libraries • Some experience/interest in Computer vision is nice to have • Experience building Large Language Models (LLMs) is nice to have For more information, please send an up-to-date CV to Machine Learning Engineer, Data Scientist, Data Science, Machine Learning, Python, NLP, Natural Language Processing, Computer Science, Statistics, Data pipelines, SQL, Regression, Clustering, XGBoost, Random Forest, Decision Trees, Predictive modelling, FinTech, ML Ops, Deep Learning, Neural Networks, Deployment, Containerisation, Generative AI, LLMs, large language models Company: Xcede Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Clustering , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Working at SambaNova SambaNova Systems is hiring a Principal AI Solutions Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross-functional teams across Sambanova's software, hardware and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey. Responsibilities • Work with both external users and internal engineering teams to develop robust, efficient and scalable AI solutions that meet customers' needs. • Integrate the latest model architecture, data curation, and performance optimization technologies from the AI industry and research into SambaNova's technical stack. • Create end-to-end solutions for ML applications to enable model training and fine-tuning on domain-specific data. • Enable high throughput and low latency inference applications for at-scale deployment. • Collaborate with cross-functional software and hardware teams to innovate customer-centric applications. • Work with diverse data types: textual, unstructured, tabular and multimodal data. Basic Qualifications • Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics • 5+ years of industry experience, including 3+ in one or more of the following: • Deep learning algorithm development • Compiler • Software-Hardware Co-design • Proficiency in Python or C++, with a solid foundation in data structures, algorithms, and machine learning. • Proficiency in one or more of the popular ML frameworks (PyTorch/Tensorflow/JAX) Additional Required Qualifications • Experience in machine learning productization and pipeline development in software engineering • Real-world experience in multi-lingual LLM applications training and inference. • Real-world experience in vision-language multimodality. • Development and deployment Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Question Answering, Copilot. • Development with DeepSeed, Megatron, vLLM, and TensorRT. Preferred Qualifications • CUDA/OpenCL programming skills. Experience with CuDNN, and CUDA math libraries (CuBLAS, CuFFT, ) is a plus. • First author in CS/ML publication Company: SambaNova Systems Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Information Retrieval , Machine Learning , NLP , Question Answering , Unspecified
May 15, 2024
Full time
Working at SambaNova SambaNova Systems is hiring a Principal AI Solutions Software Engineer, AI Systems. This role offers an unparalleled opportunity to work E2E (end-to-end) with cross-functional teams across Sambanova's software, hardware and ML teams to transform cutting-edge AI research into customer-empowering solutions with superior AI System performance and accuracy, propelling us towards making a substantial impact across diverse industries. We eagerly welcome individuals with exceptional talent to join us in this transformative journey. Responsibilities • Work with both external users and internal engineering teams to develop robust, efficient and scalable AI solutions that meet customers' needs. • Integrate the latest model architecture, data curation, and performance optimization technologies from the AI industry and research into SambaNova's technical stack. • Create end-to-end solutions for ML applications to enable model training and fine-tuning on domain-specific data. • Enable high throughput and low latency inference applications for at-scale deployment. • Collaborate with cross-functional software and hardware teams to innovate customer-centric applications. • Work with diverse data types: textual, unstructured, tabular and multimodal data. Basic Qualifications • Bachelor's or higher degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, or Statistics • 5+ years of industry experience, including 3+ in one or more of the following: • Deep learning algorithm development • Compiler • Software-Hardware Co-design • Proficiency in Python or C++, with a solid foundation in data structures, algorithms, and machine learning. • Proficiency in one or more of the popular ML frameworks (PyTorch/Tensorflow/JAX) Additional Required Qualifications • Experience in machine learning productization and pipeline development in software engineering • Real-world experience in multi-lingual LLM applications training and inference. • Real-world experience in vision-language multimodality. • Development and deployment Model Training and Inference at scale, Synthetic Data, Information Retrieval, Machine reading comprehension, RLHF/RLAIF, Question Answering, Copilot. • Development with DeepSeed, Megatron, vLLM, and TensorRT. Preferred Qualifications • CUDA/OpenCL programming skills. Experience with CuDNN, and CUDA math libraries (CuBLAS, CuFFT, ) is a plus. • First author in CS/ML publication Company: SambaNova Systems Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Information Retrieval , Machine Learning , NLP , Question Answering , Unspecified
AI Engineer London £70,000 - £90,000 If you're an NLP and LLM's expert and thrive when working in a fast-paced start-up environment this could be a great next step for you. This data-driven start-up uses AI at the core of the business. They are looking to continue expanding their AI team by hiring an AI Engineer / Machine Learning Engineer focusing on building and deploying machine learning models, specifically working in the LLM's space. THE ROLE As an AI Engineer for the business you will: Work on projects from ideation through to deployment - being responsible for both building models and putting them into production in a cloud environment Working specifically on LLM's projects for the business Liaise with both technical and non-technical stakeholders across the business SKILLS AND EXPERIENCE Strong academic background to Degree level in a numerical subject Commercial experience in Data Science with at least 1 year working in NLP and LLM's Experience deploying models into production in a cloud environment. Experience working in a start-up would be beneficial Good communication skills Tech: Python, SQL, AWS / GCP / Azure SALARY AND BENEFITS Basic salary £70,000 - £90,000 Hybrid working - 50/50 Benefits package HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
May 15, 2024
Full time
AI Engineer London £70,000 - £90,000 If you're an NLP and LLM's expert and thrive when working in a fast-paced start-up environment this could be a great next step for you. This data-driven start-up uses AI at the core of the business. They are looking to continue expanding their AI team by hiring an AI Engineer / Machine Learning Engineer focusing on building and deploying machine learning models, specifically working in the LLM's space. THE ROLE As an AI Engineer for the business you will: Work on projects from ideation through to deployment - being responsible for both building models and putting them into production in a cloud environment Working specifically on LLM's projects for the business Liaise with both technical and non-technical stakeholders across the business SKILLS AND EXPERIENCE Strong academic background to Degree level in a numerical subject Commercial experience in Data Science with at least 1 year working in NLP and LLM's Experience deploying models into production in a cloud environment. Experience working in a start-up would be beneficial Good communication skills Tech: Python, SQL, AWS / GCP / Azure SALARY AND BENEFITS Basic salary £70,000 - £90,000 Hybrid working - 50/50 Benefits package HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
Job Title: Mid-Level Data Scientist/Data Engineer Location: Bristol, UK (Hybrid working) Industry: Reinsurance Contract Type: Permanent Salary Range: £50,000 to £60,000 per year Working Pattern: Full Time Our client, a leading organisation in the reinsurance industry, is seeking two talented and experienced Mid-Level Data Scientists/Data Engineers to join their team. Our client is at the forefront of cyber risk assessment and management, with a commitment to excellence and innovation that sets them apart in the field. Position Overview: As a Mid-Level Data Scientist/Data Engineer, you will play a crucial role in the development and operations of our client's automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines and integrating advanced machine learning components. It requires someone who thrives in a dynamic, agile environment. Key Responsibilities: - Automated Ingestion System Development: You will be responsible for designing, developing, and maintaining sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable. - ML Component Integration: You will integrate advanced machine learning components into data pipelines to enhance data processing and analysis capabilities. - Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and accuracy of ingested data. - Collaboration: You will work closely with data scientists, engineers, and other team members in a multifunctional agile development environment to meet project goals and timelines. - Innovation: Utilise modern NLP techniques to improve data understanding and processing. Stay up to date with the latest developments in data science and engineering to continually enhance our systems and processes. Qualifications: - Experience: You should have at least 3 years of experience in developing complex data ingestion pipelines with sophisticated machine learning components. Prior experience in the insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Why Join Our Client? - Impact: Make a significant impact on enhancing our client's data ingestion capabilities, directly contributing to their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards our collective goals. In addition to excellent career prospects, our client offers a range of perks including health insurance, hybrid working, life assurance, private medical coverage, a 5% pension contribution, 28 days of annual leave plus bank holidays, collaborative working, and a dog-friendly office. If you are a passionate and experienced Mid-Level Data Scientist/Data Engineer looking for an exciting opportunity in the reinsurance industry, apply now and join our client's team! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
May 15, 2024
Full time
Job Title: Mid-Level Data Scientist/Data Engineer Location: Bristol, UK (Hybrid working) Industry: Reinsurance Contract Type: Permanent Salary Range: £50,000 to £60,000 per year Working Pattern: Full Time Our client, a leading organisation in the reinsurance industry, is seeking two talented and experienced Mid-Level Data Scientists/Data Engineers to join their team. Our client is at the forefront of cyber risk assessment and management, with a commitment to excellence and innovation that sets them apart in the field. Position Overview: As a Mid-Level Data Scientist/Data Engineer, you will play a crucial role in the development and operations of our client's automated ingestion system. This role is ideal for someone passionate about crafting sophisticated data ingestion pipelines and integrating advanced machine learning components. It requires someone who thrives in a dynamic, agile environment. Key Responsibilities: - Automated Ingestion System Development: You will be responsible for designing, developing, and maintaining sophisticated data ingestion pipelines, ensuring they are efficient, scalable, and reliable. - ML Component Integration: You will integrate advanced machine learning components into data pipelines to enhance data processing and analysis capabilities. - Data Quality and Metrics: Develop and implement data quality metrics and dashboards to monitor and ensure the integrity and accuracy of ingested data. - Collaboration: You will work closely with data scientists, engineers, and other team members in a multifunctional agile development environment to meet project goals and timelines. - Innovation: Utilise modern NLP techniques to improve data understanding and processing. Stay up to date with the latest developments in data science and engineering to continually enhance our systems and processes. Qualifications: - Experience: You should have at least 3 years of experience in developing complex data ingestion pipelines with sophisticated machine learning components. Prior experience in the insurance sector is advantageous. - Education: A degree in Computer Science, Data Science, Engineering, or a related field. - Technical Skills: Strong proficiency in Python, SQL, PySpark, and Databricks. Demonstrated experience with modern NLP techniques and tools. Proven ability to create and manage data quality metrics and dashboards. Experience working in a multifunctional agile development team. Proficiency in using Git for version control. - Industry Knowledge: Familiarity with the insurance sector and its data challenges is highly desirable. - Soft Skills: Excellent problem-solving skills, strong communication abilities, and a collaborative spirit. Why Join Our Client? - Impact: Make a significant impact on enhancing our client's data ingestion capabilities, directly contributing to their ability to manage cyber risk more effectively. - Innovation: Work with cutting-edge technologies and methodologies in the field of data science and engineering. - Growth: Enjoy opportunities for professional development in a supportive and forward-thinking environment. - Culture: Be part of a collaborative, innovative team that values each member's contribution towards our collective goals. In addition to excellent career prospects, our client offers a range of perks including health insurance, hybrid working, life assurance, private medical coverage, a 5% pension contribution, 28 days of annual leave plus bank holidays, collaborative working, and a dog-friendly office. If you are a passionate and experienced Mid-Level Data Scientist/Data Engineer looking for an exciting opportunity in the reinsurance industry, apply now and join our client's team! Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
As a pioneer in AI technology our client offers a unique opportunity to work with cutting-edge AI solutions and drive innovation in a collaborative environment. Position: Machine Learning Engineer Key Responsibilities: Prototype, build, and implement new AI approaches as part of a wider team Intergrate and deploy ML Models into main environement Contribute to a data-driven decision-making process Collaborate with a small, dynamic team in an R&D environment Requirements: Strong experience and understanding of python and related technologies Analytical mindset with a scientific approach to problem-solving Proficiency in data science, including handling large datasets, modeling, and evaluation Understanding of software engineering concepts, especially best practices within development Experience with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer Vision, or Deep Learning Demonstrable industry experience with significant impact in a commercial setting Experince with cloud technologies, especially AWS Strong Python
May 15, 2024
Full time
As a pioneer in AI technology our client offers a unique opportunity to work with cutting-edge AI solutions and drive innovation in a collaborative environment. Position: Machine Learning Engineer Key Responsibilities: Prototype, build, and implement new AI approaches as part of a wider team Intergrate and deploy ML Models into main environement Contribute to a data-driven decision-making process Collaborate with a small, dynamic team in an R&D environment Requirements: Strong experience and understanding of python and related technologies Analytical mindset with a scientific approach to problem-solving Proficiency in data science, including handling large datasets, modeling, and evaluation Understanding of software engineering concepts, especially best practices within development Experience with machine learning Python frameworks like PyTorch, Tensorflow, and Scikit-Learn Desirable Skills for Senior Candidates: Familiarity with related academic fields such as NLP, Computer Vision, or Deep Learning Demonstrable industry experience with significant impact in a commercial setting Experince with cloud technologies, especially AWS Strong Python
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
May 14, 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
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
May 14, 2024
Full time
Intuit's Small Business Group (SBG), serves the needs of small businesses and self-employed through Quickbooks and our ecosystem of attached products. Our mission is to power prosperity around the world, which means dramatically rethinking how we enable small businesses and individuals to run their businesses with confidence. Intuit UK is searching for a talented, hands-on Data Scientist to help deliver data science initiatives across the UK Business. We are an exciting, fast paced, and innovative team, leveraging industry-leading tools and best practices. As a Data Scientist, you will collaborate with cross functional teams to develop ML models and customer facing AI solutions. You will take complex concepts and communicate them to both technical and non-technical leaders in order to effect change for our customers. You will play an instrumental part in shaping the strategy and future of the UK Data Science Program. Working across Intuit AI, Data Engineering, Product and Marketing you will be involved in every step of the modeling process from creating and maintaining model data pipelines to A/B testing the models in production with white space opportunities to drive innovation and personal development. Responsibilities Perform hands-on data analysis and modeling with large data sets Lead experimental designs and measurement plans Apply data mining, NLP, and machine learning (both supervised and unsupervised) to improve relevance and personalization algorithms Work side-by-side with product managers, software engineers, and designers in designing experiments and minimum viable products Explore new design or technology shifts in order to determine how they might connect with the customer benefits we wish to deliver Advanced in SQL and a statistical programming language such as Python or R 2+ years experience in data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural nets, support vector machines, anomaly detection, recommender systems, sequential pattern discovery, and text mining Expertise in experimental design and Multivariate/A-B testing Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences. Undergraduate Degree in Quantitative Field, or equivalent experience
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
May 13, 2024
Full time
Minimum qualifications Bachelor's degree in Computer Science, Software Engineering or other Quantitative field (e.g. Physics, Mathematics, Statistics) or equivalent practical experience. 4 years of experience in Machine Learning, NLP or other applied AI. Experience in coding, unitest and scripting in one or more languages (Python, C, C++ or Go). Preferred qualifications Experience with deep learning frameworks (such as TensorFlow, PyTorch, transformers). Experience with model training/deployment frameworks, e.g., mlfow, triton inference server, torch server or text generation inference. Experience in delivering complex Artificial Intelligence (AI) or data analytics projects. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, transform, and load (ETL) and reporting/analytic tools and environments such as Apache Beam, Hadoop, Spark. Demonstrated ability to translate business problems in AI projects. Excellent communication skills. Responsibilities Develop and fine-tune machine learning models, craft analytical pipelines, and orchestrate their integration into high-capacity production environments. Foster productive cross-functional communication with Product teams, actively proposing AI-driven enhancements for novel product features. Execute rigorous technical assessments, perform thorough code audits, and lead design reviews to ensure the highest standard of quality and performance. Engage in in-depth technical exploration of diverse machine learning solutions, technology stacks, and infrastructure to drive innovation and optimisation. About The Job Toggle's software engineers drive the development of cutting-edge technologies that transform how millions of users connect, explore information, and engage with the market. Our products must effectively manage vast amounts of data and go far beyond generating investment insights. We seek engineers who bring innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design - the range continues to expand constantly. As a Machine Learning and AI Engineer, you will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products. With your technical expertise you will manage project priorities, deadlines, and deliverables. You will document, design, secure, maintain, and enhance software solutions. Toggle aims to become an inclusive organization that mirrors the globally varied audience benefiting from our products and technology. We firmly believe that a diversity of viewpoints, concepts, and cultures not only enriches our workforce, but also results in the development of superior products and services. At its core, Toggle embodies an engineering ethos. We recruit individuals with a wide array of technical proficiencies who are prepared to confront some of technology's most significant hurdles and leave a mark on global users. Within Toggle, engineers not only pioneer advancements in the investment space, but they also routinely address scalability and storage solutions, develop large-scale applications, and introduce entirely novel platforms for other developers. Notice Toggle does not accept agency resumes. Please do not forward resumes to our jobs alias, Toggle employees or any other organization location. Toggle is not responsible for any fees related to unsolicited resumes
We are looking for a Lead Machine Learning Engineer to join our new Knowledge Enrichment team at BenchSci. You will help design and implement ML-based approaches to analyse complex biomedical data such as experimental protocols and results from several heterogeneous sources, including both publicly available data and proprietary internal data, represented in unstructured text and knowledge graphs. The data will be leveraged in order to enrich BenchSci's knowledge graph through classification, discovery of high value implicit relationships, predicting novel insights/hypotheses. You will collaborate with your team members in applying state of the art ML and graph ML/data science algorithms to this data. You are comfortable working in a team that pushes the boundaries of what is possible with cutting edge ML/AI, challenges the status quo, is laser focused on value delivery in a fail-fast environment You Will: Analyse and manipulate a large, highly-connected biological knowledge graph constructed of data from multiple heterogeneous sources, in order to identify data enrichment opportunities and strategies. Work with data and knowledge engineering experts to design and develop knowledge enrichment approaches/strategies that can exploit data within our knowledge graph. Provide solutions related to classification, clustering, more-like-this-type querying, discovery of high value implicit relationships, and making inferences across the data that can reveal novel insights. Deliver robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Architect and design ML solutions, from data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and monitoring. Collaborate with your teammates from other functions such as product management, project management and science, as well as other engineering disciplines. Sometimes provide technical leadership on Knowledge Enrichment projects that seek to use ML to enrich the data in BenchSci's Knowledge Graph. Work closely with other ML engineers to ensure alignment on technical solutioning and approaches. Liaise closely with stakeholders from other functions including product and science. Help ensure adoption of ML best practices and state of the art ML approaches at BenchSci. Participate in and sometimes lead various agile rituals and related practices. You Have: Minimum 5, ideally 8+ years of experience working as an ML engineer. Minimum 1, ideally 3+ years technical leadership experience, including leading 5-10 ICs technically on complex projects Degree, preferably PhD, in Software Engineering, Computer Science, or a similar area.A proven track record of delivering complex ML projects working alongside high performing ML engineers using agile software development. Demonstrable ML proficiency with a deep understanding of how to utilise state of the art NLP and ML techniques. Mastery of several ML frameworks and libraries, with the ability to architect complex ML systems from scratch. Extensive experience with Python and PyTorch. Track record of successfully delivering robust, scalable and production-ready ML models, with a focus on optimising performance and efficiency. Experience with the full ML development lifecycle from architecture and technical design, through data collection and preparation, model selection, training, fine-tuning and evaluation, to deployment and maintenance. Strong skills related to implementing solutions leveraging Large Language Models, as well as a deep understanding of how to implement solutions using Retrieval Augmented Generation (RAG) architecture. Expertise in graph machine learning (i.e. graph neural networks, graph data science) and practical applications thereof. This is complimented by your experience working with Knowledge Graphs, ideally biological, and a familiarity with biological ontologies. Experience with complex problem solving and an eye for details such as scalability and performance of a potential solution. Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python. Experience with data manipulation and processing, such as SQL, Cypher or Pandas. A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you. You have experience working in cross-functional teams with product managers, project managers, engineers from other disciplines (e.g. data engineering).Ideally you have worked in the scientific/biological domain with scientists on your team. Outstanding verbal and written communication skills. Can clearly explain complex technical concepts/systems to engineering peers and non-engineering stakeholders. A growth mindset continuously seeking to stay up-to-date with cutting-edge advances in ML/AI, complimented by actively engaging with the ML/AI community. Benefits and Perks: An engaging remote-first culture A great compensation package that includes BenchSci equity options A robust vacation policy plus an additional vacation day every year Company closures for 14 more days throughout the year Flex time for sick days, personal days, and religious holidays Comprehensive health and dental benefits. Annual learning & development budget A one-time home office set-up budget to use upon joining BenchSci An annual lifestyle spending account allowance Generous parental leave benefits with a top-up plan or paid time off options The ability to save for your retirement coupled with a company match! About BenchSci: BenchSci's mission is to exponentially increase the speed and quality of life-saving research and development. We empower scientists to run more successful experiments with the world's most advanced, biomedical artificial intelligence software platform. Backed by Generation Investment Management, TCV, Inovia, F-Prime, Golden Ventures, and Google's AI fund, Gradient Ventures, we provide an indispensable tool for scientists that accelerates research at 16 top 20 pharmaceutical companies and over 4,300 leading academic centers. We're a certified Great Place to Work, and top-ranked company on Glassdoor. Our Culture: BenchSci relentlessly builds on its strong foundation of culture. We put team members first, knowing that they're the organization's beating heart. We invest as much in our people as our products. Our culture fosters transparency, collaboration, and continuous learning. We value each other's differences and always look for opportunities to embed equity into the fabric of our work. We foster diversity, autonomy, and personal growth, and provide resources to support motivated self-leaders in continuous improvement. You will work with high-impact, highly skilled, and intelligent experts motivated to drive impact and fulfill a meaningful mission. We empower you to unleash your full potential, do your best work, and thrive. Here you will be challenged to stretch yourself to achieve the seemingly impossible. Learn more about our culture . Diversity, Equity and Inclusion: We're committed to creating an inclusive environment where people from all backgrounds can thrive. We believe that improving diversity, equity and inclusion is our collective responsibility, and this belief guides our DEI journey. Learn more about our DEI initiatives . Accessibility Accommodations: Should you require any accommodation, we will work with you to meet your needs. Please reach out to .
May 13, 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 .
Machine Learning Engineer - Remote As a Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £60,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
May 13, 2024
Full time
Machine Learning Engineer - Remote As a Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas Commercial hands-on experience with Hugging Face and finetuning LLMs Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch) Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £60,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
May 12, 2024
Full time
InstaDeep, founded in 2014, is a pioneering AI company at the forefront of innovation. With strategic offices in major cities worldwide, including London, Paris, Berlin, Tunis, Lagos, Cape Town, Boston, and San Francisco, InstaDeep collaborates with giants like Google DeepMind and prestigious educational institutions like MIT, Stanford, Oxford, UCL, and Imperial College London. We are a Google Cloud Partner and a select NVIDIA Elite Service Delivery Partner. We have been listed among notable players in AI, fast-growing companies, and Europe's 1000 fastest-growing companies in 2022 by Statista and the Financial Times. Our recent acquisition by BioNTech has further solidified our commitment to leading the industry. Join us to be a part of the AI revolution! InstaDeep is currently looking for a new Machine Learning Engineer to join our expanding Genomics team, located in either London or Paris. Our team is primarily dedicated to applied research, with a strong focus on language models Our goal is to push the boundaries of genomics research by delivering valuable insights and breakthroughs that were previously unattainable. As a Machine Learning Engineer within the Genomics team, you will play a pivotal role in advancing our mission to accelerate genomics research. Specifically, you will focus on developing cutting-edge AI and deep learning solutions tailored for DNA analysis. Your responsibilities will encompass contributing to our in-house machine-learning codebases and libraries. Your core tasks will involve designing, developing, and optimizing deep learning models, especially language models, with a primary emphasis on enhancing accuracy, efficiency, and scalability on large sequence datasets. You will be working on a daily basis with expert computational geneticists committed to helping you thoroughly understand the project requirements, and your mission will be to explore potential solutions and implement the necessary strategies to achieve improved and innovative computational performance. Throughout this process, your role will also include the development of effective, modular, and sustainable software solutions and daily interactions with our team of AI researchers. RESPONSIBILITIES • Contribute to Our In-House Machine Learning Libraries: Develop and actively contribute to our in-house Machine Learning libraries. • Implementing Algorithms and Research Ideas for Genomics Applications: Apply algorithms and research concepts to language models and deep learning techniques for genomics applications. • Promote Good Engineering Practices: Encourage and support the adoption of sound engineering practices when translating research into reusable and maintainable code. • Design and Implement Algorithms for Modern Hardware: Create and deploy algorithms optimized for modern hardware and distributed computing systems, such as CPUs, GPUs, TPUs, and cloud infrastructure. • Effective Reporting and Presentation: Clearly and efficiently communicate experimental results and research findings both internally and externally, both in written and verbal formats. • Collaboration with Cross-Functional Teams: Collaborate closely with cross-functional teams, including computational geneticists and AI researchers, to seamlessly integrate AI solutions into genomics workflows. • Stay Current with AI and Genomics Advancements: Keep abreast of the latest advancements in AI and genomics research. Contribute to scientific publications and explore innovative approaches to address genomics challenges. • Develop Comprehensive Benchmarks: Create robust evaluation metrics and benchmarks for assessing AI model performance. Continuously refine and enhance models based on feedback. • Thorough Documentation: Document your work comprehensively to ensure clear and reproducible results. Contribute to internal knowledge sharing for the benefit of the team. QUALIFICATIONS • A postgraduate degree in Computer Science, Machine Learning, or a related scientific field. • Proven experience in deep learning, neural networks, and the development of AI models. Strong expertise in language models, particularly in transformersProficiency in programming languages such as Python, along with familiarity with libraries like TensorFlow, PyTorch, or Jax. • While domain knowledge in genomics is not mandatory, a genuine curiosity about genomics data, tools, and databases is highly advantageous. • Strong problem-solving skills and a creative mindset to address complex challenges in genomics research. • Excellent communication skills to facilitate productive collaboration within multidisciplinary teams.A record of publications in the fields of AI, deep learning, or genomics research is considered a valuable bonus. Our commitment to our people We empower individuals to celebrate their uniqueness here at InstaDeep. Our team comes from all walks of life, and we're proud to continue encouraging and supporting applicants from underrepresented groups across the globe. Our commitment to creating an authentic environment comes from our ability to learn and grow from our diversity, and how better to experience this than by joining our team? We operate on a hybrid work model with guidance to work at the office at least 2 to 3 days per week to encourage close collaboration and innovation. We are continuing to review the situation with the well-being of InstaDeepers at the forefront of our minds. Right to work: Please note that you will require the legal right to work in the location you are applying for Company: InstaDeep Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Language Modeling , Machine Learning , Neural Networks , NLP , United Kingdom
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team, we're focusing on using less data to learn more intelligent algorithms to bring autonomy for everyone, everywhere. We aim to be the future of self-driving cars, not vehicles that are told how to drive through hand-coded rules and maps, but ones which learn from experience and data. Where you will have an impact We're looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We're a growing start-up, building our first cohort of engineers and you can be at the heart of this! We are looking for Machine Learning Engineers to help productionize an end-to-end self driving neural network for autonomous driving. You'll be working closely with Platform and Research teams to integrate, test and scale ML features for production. Productionizing and scaling our ML models by working across Data, Validation, Platform and Research is a core component of this role and why we need you! WHAT YOU'LL BRING TO WAYVE • 3 + years experience in shipping Computer Vision features and in applied research • Passion to take research ideas to production • Good grasp of Computer Vision literature • Experience in working in platform teams and working with research teams • Good insight into the training, validation, testing and metrics for deep learning features/models • Experience in reporting and tracking over time benchmarked performance in an open and accessible way • Ability to write high quality, well-structured and tested Python code • Solid experience working with concurrent, parallel and distributed computing • Comfortable working with and visualising huge data sets + finding and removing examples of noisy or bad data • Knowledge of computing fundamentals - what makes code fast, secure and reliable • BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you • Competitive compensation with salary and equity • Immersion in a team of world-class researchers, engineers and entrepreneurs • A position to shape the future of autonomous driving and to tackle the biggest challenges of our time • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, L&D, enhanced parental leave, and more! • This is a full-time role based in our office in King's Cross, but we support flexible working. We trust you to know what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow Company: Wayve Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom
May 11, 2024
Full time
Who are we? Our team is the first in the world to use autonomous vehicles on public roads using end-to-end deep learning, computer vision and reinforcement learning. Leveraging our multi-national world-class research team, we're focusing on using less data to learn more intelligent algorithms to bring autonomy for everyone, everywhere. We aim to be the future of self-driving cars, not vehicles that are told how to drive through hand-coded rules and maps, but ones which learn from experience and data. Where you will have an impact We're looking for bold, talented and creative people to join our journey in developing next-generation autonomous vehicles. We're a growing start-up, building our first cohort of engineers and you can be at the heart of this! We are looking for Machine Learning Engineers to help productionize an end-to-end self driving neural network for autonomous driving. You'll be working closely with Platform and Research teams to integrate, test and scale ML features for production. Productionizing and scaling our ML models by working across Data, Validation, Platform and Research is a core component of this role and why we need you! WHAT YOU'LL BRING TO WAYVE • 3 + years experience in shipping Computer Vision features and in applied research • Passion to take research ideas to production • Good grasp of Computer Vision literature • Experience in working in platform teams and working with research teams • Good insight into the training, validation, testing and metrics for deep learning features/models • Experience in reporting and tracking over time benchmarked performance in an open and accessible way • Ability to write high quality, well-structured and tested Python code • Solid experience working with concurrent, parallel and distributed computing • Comfortable working with and visualising huge data sets + finding and removing examples of noisy or bad data • Knowledge of computing fundamentals - what makes code fast, secure and reliable • BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience What we offer you • Competitive compensation with salary and equity • Immersion in a team of world-class researchers, engineers and entrepreneurs • A position to shape the future of autonomous driving and to tackle the biggest challenges of our time • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, L&D, enhanced parental leave, and more! • This is a full-time role based in our office in King's Cross, but we support flexible working. We trust you to know what works best for your team and projects and ask that you have a healthy presence that enables the right meetings to happen in person and strong relationships to be built. Wayve is built by people from all walks of life. We believe that it is our differences that make us stronger, and our unique perspectives and backgrounds that allow us to build something different. We are proud to be an equal opportunities workplace, where we don't just embrace diversity but nurture it - so that we all thrive and grow Company: Wayve Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , Neural Networks , NLP , United Kingdom
Machine Learning/Natural Language Processing Engineer Requirements • A technical Bachelor's degree or equivalent practical experience developing software, • Past experience relevant to the above responsibilities, • Ability to write high-quality, well-tested code and high comfort level with Python, • Experience building and tuning multi-modal ML systems, • (Desirable) Master's degree in ML/NLP or related field, • (Desirable) Experience or interest in working in the Trust and Safety industry, • (Desirable) Familiarity with AWS primitives, Kubernetes, AWS Lambda What the job involves • As an engineer on our team, you'll work directly with ex-senior leaders from Google, YouTube, TikTok, and Reddit, build and commercialize cutting-edge technologies, and have the opportunity to develop your skills across a varied tech stack including generative AI technologies, • Influence new product direction from idea to commercialization, • Help develop critical tech to solve one of the 21st century's trickiest societal problems, • Use and experiment with latest generative AI technologies, • Work directly with ex-Google execs to develop and execute on cutting-edge tech, • Extract features from content (text, images, videos), • Build classification models to identify unsafe online content, • Leverage off-the-shelf, pre-trained models (including large language models) and other heuristics where appropriate, • Work with team to productionize models in a high throughput, low latency setting, • Design industry-leading solutions informed by a thorough understanding of the domain, • Take ownership of modeling e2e to meet business requirements Trust Lab develops software for social media platforms that helps in detecting misinformation, hate speech, and harmful content. Related Jobs Senior Software Engineer, Machine Learning Frontend Engineer - Leading AI Company - Full Remote Tokyo, JP
May 11, 2024
Full time
Machine Learning/Natural Language Processing Engineer Requirements • A technical Bachelor's degree or equivalent practical experience developing software, • Past experience relevant to the above responsibilities, • Ability to write high-quality, well-tested code and high comfort level with Python, • Experience building and tuning multi-modal ML systems, • (Desirable) Master's degree in ML/NLP or related field, • (Desirable) Experience or interest in working in the Trust and Safety industry, • (Desirable) Familiarity with AWS primitives, Kubernetes, AWS Lambda What the job involves • As an engineer on our team, you'll work directly with ex-senior leaders from Google, YouTube, TikTok, and Reddit, build and commercialize cutting-edge technologies, and have the opportunity to develop your skills across a varied tech stack including generative AI technologies, • Influence new product direction from idea to commercialization, • Help develop critical tech to solve one of the 21st century's trickiest societal problems, • Use and experiment with latest generative AI technologies, • Work directly with ex-Google execs to develop and execute on cutting-edge tech, • Extract features from content (text, images, videos), • Build classification models to identify unsafe online content, • Leverage off-the-shelf, pre-trained models (including large language models) and other heuristics where appropriate, • Work with team to productionize models in a high throughput, low latency setting, • Design industry-leading solutions informed by a thorough understanding of the domain, • Take ownership of modeling e2e to meet business requirements Trust Lab develops software for social media platforms that helps in detecting misinformation, hate speech, and harmful content. Related Jobs Senior Software Engineer, Machine Learning Frontend Engineer - Leading AI Company - Full Remote Tokyo, JP
Team / Department : Data Science Team within Marketing Sciences Department ROLE We are looking for a Senior Data Scientist to join our world-class Data Science team of around 8 data scientists led by George Cushen ( ). As a business, we've won some of the biggest pitches in our category, such as Virgin Media 02 and Mercedes. Our clients say that we're "reinventing the future of marketing", applying the latest developments at the rapidly growing intersection of AI and marketing. We're part of Omnicom, the global leader in marketing communications, and more specifically, we're the data-centric arm of the Omnicom Precision Marketing Group (OPMG). RESPONSIBILITIES Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors such as retail, telecoms, banking, and fast-food Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Deliver effective presentations of findings and recommendations to technical and non-technical stakeholders Document projects in a manner that ensures specific processes can be replicated and scaled across an organization Collaborate with multiple teams and stakeholders in an agile, fast-paced, dynamic, and entrepreneurial environment Support with transforming technology and processes to employ latest best practices QUALIFICATIONS Basic Qualifications BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib Demonstrable skills in creative problem solving with strong attention to detail Clear, concise and engaging communications skills, and the ability to distil and translate complex analysis into actionable insights that a client will easily understand Preferred Qualifications MS or Ph.D. in Computer Science, Mathematics, Physics, or related fields A broader understanding of the marketing ecosystem and measurement framework, including but not limited to paid display, search, social, video, organic, web, and app Experience in analysing media, email, and web data, such as Google Ads, Meta, SalesForce, and Adobe Analytics Experience with media measurement solutions, such as media mix modelling, attribution models, causal inference, and experimentation (A/B testing and bandits) Experience versioning models with tools such as MLFlow for reproducibility Experience creating custom Python apps/dashboards with Dash Experience designing and creating APIs with FastAPI Experience with NLP, Computer Vision, and GenAI Experience enriching first-party data with advanced feature engineering and third-party data Demonstrable skills in problem-solving of complex and advanced technical subject matters Key attributes Attention to detail, exhibiting data curiosity and scepticism to ensure accurate and quality results A curious thinker who demonstrates interests in a wide range of business and technical subjects Proactive, passionate about building data and innovation solutions Excellent written and verbal communication skills - communicate efficiently and effectively to both technical and non-technical audiences ABOUT RAPP We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency's vision. And most importantly we value every individual's wellbeing. As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one - but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. Us We are true advocates of flexible working with a hybrid working policy of 3 days per week in our incredible South Bank office, next to cultural hubs such as the Tate Modern. We ask you to work where and when you work best. We'll be honest though, we do love seeing people in the office, because it delivers on our Culture, Collaboration and Connection. For Concentration, work where you'll work best. We call it the 4 Cs. Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. We recognise that the work of diversity, equity and inclusion calls on all of us. That's why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. You're better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a "Me" day and an "Us" day, every year. Your "Me" day is for you to invest in yourself - go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! Your "Us" day is all about giving back and helping others - volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. We're progressive and always open to new initiatives, for example we've recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn't always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. Recruitment process We like to keep recruitment swift, lean, and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus, we have a team on hand to answer questions throughout the process. We are RAPP, and we can't wait to meet you! Do you require sponsorship to work in the UK? I am able to commute to the London Bankside office 3x a week.
May 11, 2024
Full time
Team / Department : Data Science Team within Marketing Sciences Department ROLE We are looking for a Senior Data Scientist to join our world-class Data Science team of around 8 data scientists led by George Cushen ( ). As a business, we've won some of the biggest pitches in our category, such as Virgin Media 02 and Mercedes. Our clients say that we're "reinventing the future of marketing", applying the latest developments at the rapidly growing intersection of AI and marketing. We're part of Omnicom, the global leader in marketing communications, and more specifically, we're the data-centric arm of the Omnicom Precision Marketing Group (OPMG). RESPONSIBILITIES Design, build, and implement predictive models to improve and optimize media performance, customer experiences, efficient revenue generation, and other business outcomes across a range of sectors such as retail, telecoms, banking, and fast-food Analyse data using predictive/prescriptive techniques to discover hidden trends and deliver insights and analysis with clear actionable recommendations Build well-managed data solutions, tools, and innovative prototypes to demonstrate capabilities to clients and enable self-service frameworks Deliver effective presentations of findings and recommendations to technical and non-technical stakeholders Document projects in a manner that ensures specific processes can be replicated and scaled across an organization Collaborate with multiple teams and stakeholders in an agile, fast-paced, dynamic, and entrepreneurial environment Support with transforming technology and processes to employ latest best practices QUALIFICATIONS Basic Qualifications BS in Computer Science, Mathematics, Physics, or related fields. Hands-on experience building machine learning models such as for recommendations, segmentation, price/promo optimisation, forecasting, propensity modelling, predictive/prescriptive campaign performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and Matplotlib Demonstrable skills in creative problem solving with strong attention to detail Clear, concise and engaging communications skills, and the ability to distil and translate complex analysis into actionable insights that a client will easily understand Preferred Qualifications MS or Ph.D. in Computer Science, Mathematics, Physics, or related fields A broader understanding of the marketing ecosystem and measurement framework, including but not limited to paid display, search, social, video, organic, web, and app Experience in analysing media, email, and web data, such as Google Ads, Meta, SalesForce, and Adobe Analytics Experience with media measurement solutions, such as media mix modelling, attribution models, causal inference, and experimentation (A/B testing and bandits) Experience versioning models with tools such as MLFlow for reproducibility Experience creating custom Python apps/dashboards with Dash Experience designing and creating APIs with FastAPI Experience with NLP, Computer Vision, and GenAI Experience enriching first-party data with advanced feature engineering and third-party data Demonstrable skills in problem-solving of complex and advanced technical subject matters Key attributes Attention to detail, exhibiting data curiosity and scepticism to ensure accurate and quality results A curious thinker who demonstrates interests in a wide range of business and technical subjects Proactive, passionate about building data and innovation solutions Excellent written and verbal communication skills - communicate efficiently and effectively to both technical and non-technical audiences ABOUT RAPP We stand up for individuality. We actively foster an inclusive workplace where diversity and individual difference are valued and leveraged to achieve the agency's vision. And most importantly we value every individual's wellbeing. As a diversity champion, equal opportunities and disability confident employer and an ardent advocate of flexible working we understand that everyone has unique requirements and needs. We are a global creative agency, but the individual really is at the heart of everything we do. We use data to find out what makes them tick. We use technology to talk to them one-to-one - but to one million at a time. And we use creativity to encourage them to engage, click, buy and bond, again and again. Each brand is unique and has its own individual challenges. We pride ourselves in rising to each and every one of them, for brands such as KFC, Mercedes Benz, IKEA, Paypal and Virgin Media 02. Us We are true advocates of flexible working with a hybrid working policy of 3 days per week in our incredible South Bank office, next to cultural hubs such as the Tate Modern. We ask you to work where and when you work best. We'll be honest though, we do love seeing people in the office, because it delivers on our Culture, Collaboration and Connection. For Concentration, work where you'll work best. We call it the 4 Cs. Learning and Development is important. We all know that. Its why we have a dedicated Learning and Development team and offer regular career conversations and bespoke L&D programmes so that you can leave us with more than when you started. We recognise that the work of diversity, equity and inclusion calls on all of us. That's why we set up The Neighbourhood. A collective of people, at different stages of the DE&I journey, whether impacted or allies, dedicated to helping our colleagues take ownership and effect change across 4 key pillars; Anti-racism, Disability, Gender & LGBTQ+ and Parents & Carers. The Health and Wellbeing of our people matters immensely. We offer Coaching opportunities for all through our partnerships with Sanctus (mental health partner who provides online coaching; you can talk about anything, personal or professional) and Sayge (1:1 professional development coaching program). We have 40 trained Mental Health First Aiders across the agency and have Babylon Health (Private GP service) for all. You're better at work when you feel better in yourself. So, in addition to your annual holiday, you can take a "Me" day and an "Us" day, every year. Your "Me" day is for you to invest in yourself - go after a life goal, meditate, learn to paint, bake cakes or just have a duvet day watching Netflix! Your "Us" day is all about giving back and helping others - volunteer, pick litter at a local park, hang out with the elderly or raise money for a local charity. We're progressive and always open to new initiatives, for example we've recently partnered with Fertifa (Leading Fertility and Reproductive Health benefit providers). Because we know the journey to becoming a family isn't always easy (that includes men too), and we support our people through that journey whether you are new parent, experiencing the menopause, or anything else in between. Whatever stage of life you are at, we make sure you have the tools you need to have a healthy work life balance. Recruitment process We like to keep recruitment swift, lean, and individual and find that 2 or 3 stages gives all parties the opportunity to get to know each other. Plus, we have a team on hand to answer questions throughout the process. We are RAPP, and we can't wait to meet you! Do you require sponsorship to work in the UK? I am able to commute to the London Bankside office 3x a week.
Site Name: UK - London - Brentford, Cambridge MA, Philadelphia Navy Yard, San Francisco, Stevenage, Upper Providence Posted Date: Apr At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AIML Sequence Learning Team applies machine learning and AI methods to DNA and RNA sequence data from large-scale human genetic, functional genomic and single cell experiments. DNA sequence variations are linked to disease via changes in the nature and abundance of protein and RNA gene products. The Sequence Learning group builds models directly from DNA/RNA sequence in addition to other data sources such as chromatin state. Models that operate on a sequence level can infer changes in protein/RNA states and the associated cellular function from sequence alone. This is an exciting methodological advance at the intersection of NLP inspired language models applied to biological data . We're looking for a highly accomplishedAI/ ML Engineer to join our team. Competitive candidates will have a track record of shipping high performing AI/ ML powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across Machine Learning Methods, as well as depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning . Educational or professional background in the biological sciences is a plus; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Experience as a software engineer with intermediate skills in python or C++ Experience with PyTorch , Tensorflow , or other deep learning frameworks Experience across the ML stack Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in computer science Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics) Understanding and application of best practices in Machine Learning Track record of contributing to open source projects Why GSK? Our values andexpectationsareat the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning . Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
Sep 21, 2022
Full time
Site Name: UK - London - Brentford, Cambridge MA, Philadelphia Navy Yard, San Francisco, Stevenage, Upper Providence Posted Date: Apr At GSK we see a world in which advanced applications of machine learning and AI will allow us to develop novel therapies to existing diseases and to quickly respond to emerging or changing diseases with personalized drugs, driving better outcomes at reduced cost with fewer side effects. It is an ambitious vision that will require the development of products and solutions at the cutting edge of machine learning and AI. If that excites you, we'd love to chat. The AIML Sequence Learning Team applies machine learning and AI methods to DNA and RNA sequence data from large-scale human genetic, functional genomic and single cell experiments. DNA sequence variations are linked to disease via changes in the nature and abundance of protein and RNA gene products. The Sequence Learning group builds models directly from DNA/RNA sequence in addition to other data sources such as chromatin state. Models that operate on a sequence level can infer changes in protein/RNA states and the associated cellular function from sequence alone. This is an exciting methodological advance at the intersection of NLP inspired language models applied to biological data . We're looking for a highly accomplishedAI/ ML Engineer to join our team. Competitive candidates will have a track record of shipping high performing AI/ ML powered products in production environments. They are highly accomplished Machine Learning Engineers, with breadth across Machine Learning Methods, as well as depth in at least one area. Additionally, they are accomplished software engineers with a track record of shipping stable, tested, performant code and services in an agile environment. Strong candidates will have graduate studies in Computer Science, Applied Mathematics, or the equivalent, and a passion for solving challenging problems in Artificial Intelligence and Machine Learning . Educational or professional background in the biological sciences is a plus; passion to help therapies for new and existing diseases, and a pattern of continuous learning and development is mandatory. The AI/ ML team is built on the principles of ownership, accountability, continuous development, and collaboration. We hire for the long term, and we're motivated to make this a great place to work. Our leaders will be committed to your career and development from day one. Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: Graduate studies in Computer Science or Applied Math, undergraduate studies in Computer Science and relevant graduate studies in the life sciences with a focus on AI/ ML techniques, or undergraduate studies in Computer Science and equivalent work history. Candidates with graduate studies in CS and biological sciences or equivalent work history will be highly competitive. Experience as a software engineer with intermediate skills in python or C++ Experience with PyTorch , Tensorflow , or other deep learning frameworks Experience across the ML stack Preferred Qualifications: If you have the following characteristics, it would be a plus: PhD in computer science Knowledge in disease biology, molecular biology and biochemistry Experience with biological data (e.g., genomics, transcriptomics, epigenomics, proteomics) Understanding and application of best practices in Machine Learning Track record of contributing to open source projects Why GSK? Our values andexpectationsareat the heart of everything we do and form an important part of our culture. These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork. As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities: Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk. Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution. Continuously looking for opportunities to learn, build skills and share learning . Sustaining energy and well-being Building strong relationships and collaboration, honest and open conversations. Budgeting and cost-consciousness LI-GSK As a company driven by our values of Patient focus, Transparency, Respect and Integrity, we know inclusion and diversity are essential for us to be able to succeed. We want all our colleagues to thrive at GSK bringing their unique experiences, ensuring they feel good and to keep growing their careers. As a candidate for a role, we want you to feel the same way. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class ( US only). We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Please don't hesitate to contact us if you'd like to discuss any adjustments to our process which might help you demonstrate your strengths and capabilities. You can either call us on , or send an email As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit GSK's Transparency Reporting For the Record site.
I am searching for a talented Machine Learning Engineer (AI, Python) to join a leading AI Lab that has grown exponentially and on a global scale in recent years. This opportunity is based in Central London (open to hybrid work weeks). The team you will be joining is utilising state-of-the-art tech to work on Recommendation Systems, NLP, and further fields. The team has competed to become a leading platform in recent years through continuous innovations from some of tech's brightest minds! As a Machine Learning Engineer, you will be experienced with one or more general-purpose programming languages, with previous commercial experience. If you are an ambitious individual looking to progress rapidly alongside a like-minded team, apply for immediate consideration for this role as a Machine Learning Engineer! What we can offer a Machine Learning Engineer (AI, Python): - Excellent, flexible compensation package dependant on seniority - Join an agile team and collaborate with the brightest minds within AI - Broad exposure working on greenfield projects - Utilise cutting edge tech within a hands-on role Keywords: Machine Learning Engineer (AI, Python): AI, Artificial intelligence, recommendation systems, recommender systems, Python, Machine Learning, Phd, MSc, BSc, computer science, engineer, programmer, developer, NLP, PyTorch, TensorFlow, AWS, GCP, Azure, Cloud, Infrastructure, Development, Developer, Programmer, Programming, Software, AI, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Deep Neural Networks, DNN, Scientist, Research, Researcher, Cython, Modelling, Algorithms, Algorithmic, Team Work, Collaboration, Research, GANs, Deep Neural Networks, CNNs, Fairness, Ethics, Research, Scientist, Researcher, PhD, Post Doctoral, Research Fellow, Lecturer, Reinforcement Learning, ACML, NIPS, ICML, ICVPR, Publications, Conferences, Journals, Bayesian Inference, Generative Models
Feb 01, 2022
Full time
I am searching for a talented Machine Learning Engineer (AI, Python) to join a leading AI Lab that has grown exponentially and on a global scale in recent years. This opportunity is based in Central London (open to hybrid work weeks). The team you will be joining is utilising state-of-the-art tech to work on Recommendation Systems, NLP, and further fields. The team has competed to become a leading platform in recent years through continuous innovations from some of tech's brightest minds! As a Machine Learning Engineer, you will be experienced with one or more general-purpose programming languages, with previous commercial experience. If you are an ambitious individual looking to progress rapidly alongside a like-minded team, apply for immediate consideration for this role as a Machine Learning Engineer! What we can offer a Machine Learning Engineer (AI, Python): - Excellent, flexible compensation package dependant on seniority - Join an agile team and collaborate with the brightest minds within AI - Broad exposure working on greenfield projects - Utilise cutting edge tech within a hands-on role Keywords: Machine Learning Engineer (AI, Python): AI, Artificial intelligence, recommendation systems, recommender systems, Python, Machine Learning, Phd, MSc, BSc, computer science, engineer, programmer, developer, NLP, PyTorch, TensorFlow, AWS, GCP, Azure, Cloud, Infrastructure, Development, Developer, Programmer, Programming, Software, AI, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Deep Neural Networks, DNN, Scientist, Research, Researcher, Cython, Modelling, Algorithms, Algorithmic, Team Work, Collaboration, Research, GANs, Deep Neural Networks, CNNs, Fairness, Ethics, Research, Scientist, Researcher, PhD, Post Doctoral, Research Fellow, Lecturer, Reinforcement Learning, ACML, NIPS, ICML, ICVPR, Publications, Conferences, Journals, Bayesian Inference, Generative Models
Senior Data Scientist required for a leading AI company in London (Role is remote working) to join them on a permanent basis As a Senior Data Scientist you will lead project teams that deliver bespoke algorithms to our clients. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will directly contribute to the code base of the project with a specific focus on the components that are difficult or require experience to implement. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes. You will play an important role in the development of others at the client by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful. Skills and Experience required: * Mid to Senior experience in either a professional data science position or a quantitative academic field * Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (eg R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe * An excellent command of the basic libraries for data science (eg NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (eg TensorFlow, PyTorch, Caffe) * A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill * Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Benefits include unlimited holidays, Private Health and Dental, Working from home and flexible working options - and many more
Nov 10, 2021
Full time
Senior Data Scientist required for a leading AI company in London (Role is remote working) to join them on a permanent basis As a Senior Data Scientist you will lead project teams that deliver bespoke algorithms to our clients. You will be responsible for conceiving the data science approach, for designing the associated software architecture, and for ensuring that best practices are followed throughout. You will directly contribute to the code base of the project with a specific focus on the components that are difficult or require experience to implement. You will help our excellent commercial team build strong relationships with clients, shaping the direction of both current and future projects. Particularly in the initial stages of commercial engagements, you will guide the process of defining the scope of projects to come with an emphasis on technical feasibility. We consider this work as fundamental towards ensuring that Faculty can continue to deliver high-quality software within the allocated timeframes. You will play an important role in the development of others at the client by acting as the designated mentor of a small number of data scientists, and by supporting the professional growth of data scientists on the project team. The latter includes giving targeted support where needed, and providing step-up opportunities where helpful. Skills and Experience required: * Mid to Senior experience in either a professional data science position or a quantitative academic field * Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (eg R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe * An excellent command of the basic libraries for data science (eg NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (eg TensorFlow, PyTorch, Caffe) * A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill * Some commercial experience, particularly if this involved client-facing work or project management; eagerness to work alongside clients; business awareness and an ability to gauge the commercial value of projects; outstanding written and verbal communication skills; persuasiveness when presenting to a large or important audience Benefits include unlimited holidays, Private Health and Dental, Working from home and flexible working options - and many more