Senior level AI Engineer, NLP, Large Language Models, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
Mar 29, 2024
Full time
Senior level AI Engineer, NLP, Large Language Models, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD and ideally post-doctoral or similar experience, in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
Our client harnesses the collective power of science, technology, innovation and talent to deliver world class research and development in leading edge technologies. They then use this to create innovative system architectures and disruptive capabilities to solve interesting and complex problems for their clients.The talent, skills, knowledge and experience of their team are their key differentiator.They are a rapidly growing, exciting organisation whose work is always interesting and challenging. To help them exploit a growth opportunity, they are seeking the best talent in the industry. In exchange, they can offer an exciting career that will help you to fulfil your ambitions. This will involve exposure to leading edge technology solutions in specialist assignments for their clients. Our client has very close and collaborative relationships with their clients, so you will be able to work directly with the end users and co-create solutions. About the role This is an exciting opportunity to be part of a variety of fascinating research and development projects. About you You would be someone that can think for themselves with a thirst for learning and being constantly curious. You would always be forging ahead and pushing boundaries and keeping yourself up to date with your CPD. This would suit someone ideally that can identify and assesses new and emerging technologies, products, services, methods and techniques. Can systematically create new knowledge by data gathering, innovation, experimentation, evaluation and dissemination of information. Ideally you will be degree educated to Masters level and have thorough experience in this field. Key Shills and Experience They are looking for an experienced AI researcher with the following necessary skills: Neural network research into audio, natural language processing (NLP) and other time series data. Deep experience working with the latest transformer architectures, including writing models from scratch in Pytorch or similar, and the ability to modify, tune or enhance to fit a problem. Experience with exporting models to inference engines like onnxruntime or similar technologies for mobile inference or edge inference. Experience with multiprecision training (FP16, BFLOAT16) and quantization techniques (int8). Experience with realtime programming, concurrency techniques, parallelisation, using low level languages. For example, C++ coroutines or asynchronous libraries like Taskflow, Asio, HPX or similar are beneficial. Deep expertise in C and/or C++ Deep expertise in Python Experience in general software engineering leveraging different paradigms: object oriented, functional programming, data oriented or procedural. Awareness and software implementation of Software Defined Radio (SDR) The following skills are beneficial: Digital signal processing (DSP) including filter design, (de)modulation, time and spectral analysis, communication protocols such as general OFDM, WiFi, Bluetooth, ZigBee and others. Radio Frequency (RF) systems Embedding systems Graphical User Interface (GUI) design using one of the following: QT (C++ or Python), Flutter, React (Native), Vue, Angular or similar. They typically target Linux systems, Window but also microcontrollers and embedded. Linux development is a must-have while the others are desirable.You will be working in a dynamic environment with highly skilled engineers. Their work is mainly research based working on projects lasting from 2 weeks to 18 months. Benefits Competitive Salary. Benchmarked and adjusted annually to ensure it remains competitive. 33 days holiday (inclusive of bank holidays) Private Healthcare (which includes dental treatment, employee wellbeing and assistance, eye care and a 24 hour GP service) Royal London Pension Scheme provided via Salary Sacrifice (5% employers contribution, 5% employee contribution) Salary Sacrifice schemes for cycle to work, tech at home and Electric Vehicles Season Ticket Loan facility Tailored Training and Development programme Continuous coaching and mentoring £1200 annual training budget 2 days paid charity leave. Professional Fees - Annual subscription reimbursed for membership of a professional body relevant to your role. Unlimited snacks, Fruit, Tea and Coffee Enhanced Sick Pay Relocation allowance (depending upon location). Overview • Position - Senior or Principal Software Engineer (SFIA 5 or 6)• Permanent Location - Bristol Area / South West• Salary - £50,000 - £80,000 per annum depending upon experience This is a Permanent Role and is not suitable for hybrid or home/remote working
Mar 26, 2024
Full time
Our client harnesses the collective power of science, technology, innovation and talent to deliver world class research and development in leading edge technologies. They then use this to create innovative system architectures and disruptive capabilities to solve interesting and complex problems for their clients.The talent, skills, knowledge and experience of their team are their key differentiator.They are a rapidly growing, exciting organisation whose work is always interesting and challenging. To help them exploit a growth opportunity, they are seeking the best talent in the industry. In exchange, they can offer an exciting career that will help you to fulfil your ambitions. This will involve exposure to leading edge technology solutions in specialist assignments for their clients. Our client has very close and collaborative relationships with their clients, so you will be able to work directly with the end users and co-create solutions. About the role This is an exciting opportunity to be part of a variety of fascinating research and development projects. About you You would be someone that can think for themselves with a thirst for learning and being constantly curious. You would always be forging ahead and pushing boundaries and keeping yourself up to date with your CPD. This would suit someone ideally that can identify and assesses new and emerging technologies, products, services, methods and techniques. Can systematically create new knowledge by data gathering, innovation, experimentation, evaluation and dissemination of information. Ideally you will be degree educated to Masters level and have thorough experience in this field. Key Shills and Experience They are looking for an experienced AI researcher with the following necessary skills: Neural network research into audio, natural language processing (NLP) and other time series data. Deep experience working with the latest transformer architectures, including writing models from scratch in Pytorch or similar, and the ability to modify, tune or enhance to fit a problem. Experience with exporting models to inference engines like onnxruntime or similar technologies for mobile inference or edge inference. Experience with multiprecision training (FP16, BFLOAT16) and quantization techniques (int8). Experience with realtime programming, concurrency techniques, parallelisation, using low level languages. For example, C++ coroutines or asynchronous libraries like Taskflow, Asio, HPX or similar are beneficial. Deep expertise in C and/or C++ Deep expertise in Python Experience in general software engineering leveraging different paradigms: object oriented, functional programming, data oriented or procedural. Awareness and software implementation of Software Defined Radio (SDR) The following skills are beneficial: Digital signal processing (DSP) including filter design, (de)modulation, time and spectral analysis, communication protocols such as general OFDM, WiFi, Bluetooth, ZigBee and others. Radio Frequency (RF) systems Embedding systems Graphical User Interface (GUI) design using one of the following: QT (C++ or Python), Flutter, React (Native), Vue, Angular or similar. They typically target Linux systems, Window but also microcontrollers and embedded. Linux development is a must-have while the others are desirable.You will be working in a dynamic environment with highly skilled engineers. Their work is mainly research based working on projects lasting from 2 weeks to 18 months. Benefits Competitive Salary. Benchmarked and adjusted annually to ensure it remains competitive. 33 days holiday (inclusive of bank holidays) Private Healthcare (which includes dental treatment, employee wellbeing and assistance, eye care and a 24 hour GP service) Royal London Pension Scheme provided via Salary Sacrifice (5% employers contribution, 5% employee contribution) Salary Sacrifice schemes for cycle to work, tech at home and Electric Vehicles Season Ticket Loan facility Tailored Training and Development programme Continuous coaching and mentoring £1200 annual training budget 2 days paid charity leave. Professional Fees - Annual subscription reimbursed for membership of a professional body relevant to your role. Unlimited snacks, Fruit, Tea and Coffee Enhanced Sick Pay Relocation allowance (depending upon location). Overview • Position - Senior or Principal Software Engineer (SFIA 5 or 6)• Permanent Location - Bristol Area / South West• Salary - £50,000 - £80,000 per annum depending upon experience This is a Permanent Role and is not suitable for hybrid or home/remote working
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions • Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes • Facilitates the development of features of models on individual projects and/or products with guidance and support from others • Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists • Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed • Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms • Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others • Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for • Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field • Several years' experience working on creating machine learning algorithms • Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. • Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools • Experience with building, testing, measuring, and deploying machine learning models in production • Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) • Previous experience of owning, maintaining, and enhancing software data products • Attention to clarity of code, ease of development, and correctness of implementations • Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: • Knowledge and experience of Hierarchical Modelling • Experience with clinical domain and with regulated data • Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks • Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker • Experience working with large, real-world datasets • Demonstrated in-depth understanding of product development lifecycle • Demonstrated aptitude for and interest in peer mentorship • Experience deploying code into production through CI/CD tools • Knowledge of biostatistics/life sciences/healthcare technology • Knowledge of UX principles • Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at Company: IQVIA Ltd. (GB80) 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: Classification , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
Mar 26, 2024
Full time
Machine Learning Engineer Analytics Centre of Excellence (ACOE) London/Hybrid The Analytics Centre of Excellence (ACOE) is positively impacting patient lives through the anticipation and delivery of Decision Intelligence solutions that increase clinical trial success, shorten drug development timelines, and reduce costs in bringing new drugs to market, getting much-needed drugs to patients faster through successful clinical trial delivery. Our vision at the ACOE is that every decision our users and clients make in R&D is made through Decision Intelligence, allowing speedy access to safe, novel, and effective treatments for all patients. ACOE Product Portfolio: In trial strategy, we are using Machine Learning (ML) to recommend countries and clinical trial sites and accurately predict clinical study timelines. We are deploying ML at clinical trial sites to read Electronic Medical Records data and find undiagnosed patients that are otherwise challenging to identify. We are optimizing our patient outreach targeting and are predicting participant dropout. In addition, problems in patient recruitment are being solved with ML. Further upstream in R&D we are predicting clinical trial outcomes, drug-protein interactions, repurposing drugs and even leveraging ML to optimize molecules. Job Overview Develop fit for purpose AIML models/algorithms/processes to address pharma/healthcare applications and innovative products upon completion of prototypes followed by the building of production grade algorithms/automation engines for client deliverables. Test for viability to deliver final products to clients. Able to bring newly researched ideas to reality quickly and on a large scale. Design, build, test, and deliver products from post-prototype to client delivery. Essential Functions • Facilitates the transformation of machine learning research domain expertise in the areas of human data into viable prototypes • Facilitates the development of features of models on individual projects and/or products with guidance and support from others • Develops understanding of the creation of new algorithms through working alongside other Machine Learning Engineers and Machine Learning Research Scientists • Facilitates the building and training of new production grade algorithms that can learn from complex, high dimensionality data to uncover patterns from which machine learning models and applications can be developed • Uses a variety of techniques to improve the performance of individual natural language processing and/or machine learning algorithms • Facilitates the testing and validation of models to determine viability for deployment with guidance and support from others • Consult for internal and external clients, implement solution development and innovation to meet clients' needs, facilitate client AI project technical delivery What we're looking for • Master's Degree Master's Degree in Machine Learning, Statistics, Computer Science, Physics, Math, or related field • Several years' experience working on creating machine learning algorithms • Programming experience using one or more of the following: Python, Java, C++, R, Go, Kubernetes, Deep learning or equivalent. • Python (Scikit-learn, Tensor Flow, Pandas, NumPy, SciPy) SQL, Linux/mac command-line tools • Experience with building, testing, measuring, and deploying machine learning models in production • Familiarity with ML algorithms (classification, regression) and processes (how to build models, assess their goodness of fit, etc.) • Familiarity with agile software development lifecycle (SCRUM, Kanban, etc.) • Previous experience of owning, maintaining, and enhancing software data products • Attention to clarity of code, ease of development, and correctness of implementations • Good knowledge of software development best practices including testing, continuous integration, and DevOps tools Preferred Requirements: • Knowledge and experience of Hierarchical Modelling • Experience with clinical domain and with regulated data • Used Deep Neural Network libraries such as Tensor Flow, especially with Bayesian Neural Networks • Knowledge of cloud systems such as AWS, Azure, GCP and containerization such as Docker • Experience working with large, real-world datasets • Demonstrated in-depth understanding of product development lifecycle • Demonstrated aptitude for and interest in peer mentorship • Experience deploying code into production through CI/CD tools • Knowledge of biostatistics/life sciences/healthcare technology • Knowledge of UX principles • Experience working in the Hadoop ecosystem Why Join? Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry. You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries. Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes. It's an exciting time to join and reimagine what's possible in healthcare. IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential. We thank all applicants for their interest; however only those selected for interview will be contacted. IQVIA is a leading global provider of advanced analytics, technology solutions and clinical research services to the life sciences industry. We believe in pushing the boundaries of human science and data science to make the biggest impact possible - to help our customers create a healthier world. Learn more at Company: IQVIA Ltd. (GB80) 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: Classification , Industry , Natural Language Processing , Neural Networks , NLP , Unspecified
My client is a cutting-edge technology start up focused on revolutionizing the way social media content is consumed. Their innovative products leverage advanced machine learning models to understand social media content, ensuring a safer and more engaging online experience. Join Their dynamic team and be a part of shaping the future of content moderation. Machine Learning Engineer Up-To £70k + Package Hybrid London Company OverviewMy client is a cutting-edge technology start up focused on revolutionizing the way social media content is consumed. Their innovative products leverage advanced machine learning models to understand social media content, ensuring a safer and more engaging online experience. Join Their dynamic team and be a part of shaping the future of content moderation. Position OverviewThey are seeking a talented and motivated Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join their team. As a key member of the machine learning division, you will play a crucial role in developing and improving our content classification algorithms. You will collaborate with cross-functional teams to enhance their product's capabilities and contribute to the ongoing success of our cutting-edge solutions. Responsibilities Algorithm Development, Design, implement, and optimize machine learning algorithms for the classification of social media content. Data Preprocessing, Work on preprocessing and cleaning large datasets, ensuring high-quality input for training and evaluation purposes. Model Training and Evaluation, Train, fine-tune, and evaluate LLM models for social media content classification, continually improving model accuracy and performance. Feature Engineering, Contribute to feature engineering efforts to enhance the effectiveness of the models in understanding the nuances of social media language. Collaboration, Collaborate with cross-functional teams, including product managers, software engineers, and data scientists, to integrate machine learning models into our products seamlessly. Stay Updated, Keep abreast of the latest advancements in NLP and machine learning, applying state-of-the-art techniques to enhance our product's capabilities. Qualifications Master's or Ph.D. in Computer Science, Machine Learning, or a related field. Proven experience in developing and deploying machine learning models, particularly in the domain of natural language processing. Expertise in working with Large Language Models and familiarity with their applications in social data content analysis. Proficiency in programming languages such as Python and experience with relevant libraries and frameworks. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Excellent communication skills and the ability to work collaboratively in a fast-paced team environment. Benefits Competitive salary Up-To £70,000 + Enhanced Package Flexible working hours and Hybrid working model Collaborative and innovative work environment If you are passionate about leveraging machine learning to enhance social media content and thrive in a dynamic, collaborative environment, I would love to hear from you. Apply now to be a part of my clients journey in shaping the future of online content safety. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Mar 26, 2024
Full time
My client is a cutting-edge technology start up focused on revolutionizing the way social media content is consumed. Their innovative products leverage advanced machine learning models to understand social media content, ensuring a safer and more engaging online experience. Join Their dynamic team and be a part of shaping the future of content moderation. Machine Learning Engineer Up-To £70k + Package Hybrid London Company OverviewMy client is a cutting-edge technology start up focused on revolutionizing the way social media content is consumed. Their innovative products leverage advanced machine learning models to understand social media content, ensuring a safer and more engaging online experience. Join Their dynamic team and be a part of shaping the future of content moderation. Position OverviewThey are seeking a talented and motivated Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join their team. As a key member of the machine learning division, you will play a crucial role in developing and improving our content classification algorithms. You will collaborate with cross-functional teams to enhance their product's capabilities and contribute to the ongoing success of our cutting-edge solutions. Responsibilities Algorithm Development, Design, implement, and optimize machine learning algorithms for the classification of social media content. Data Preprocessing, Work on preprocessing and cleaning large datasets, ensuring high-quality input for training and evaluation purposes. Model Training and Evaluation, Train, fine-tune, and evaluate LLM models for social media content classification, continually improving model accuracy and performance. Feature Engineering, Contribute to feature engineering efforts to enhance the effectiveness of the models in understanding the nuances of social media language. Collaboration, Collaborate with cross-functional teams, including product managers, software engineers, and data scientists, to integrate machine learning models into our products seamlessly. Stay Updated, Keep abreast of the latest advancements in NLP and machine learning, applying state-of-the-art techniques to enhance our product's capabilities. Qualifications Master's or Ph.D. in Computer Science, Machine Learning, or a related field. Proven experience in developing and deploying machine learning models, particularly in the domain of natural language processing. Expertise in working with Large Language Models and familiarity with their applications in social data content analysis. Proficiency in programming languages such as Python and experience with relevant libraries and frameworks. Strong understanding of data preprocessing, feature engineering, and model evaluation techniques. Excellent communication skills and the ability to work collaboratively in a fast-paced team environment. Benefits Competitive salary Up-To £70,000 + Enhanced Package Flexible working hours and Hybrid working model Collaborative and innovative work environment If you are passionate about leveraging machine learning to enhance social media content and thrive in a dynamic, collaborative environment, I would love to hear from you. Apply now to be a part of my clients journey in shaping the future of online content safety. Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
Mar 23, 2024
Full time
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Visa is a world leader in digital payments, facilitating more than 215 billion payments transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable and secure payments network, enabling individuals, businesses and economies to thrive. When partnering with Visa, you are also in a way part of a culture of purpose and belonging - where the work you do matters. We believe that economies that include everyone everywhere, uplift everyone everywhere. Your work will have a direct impact on billions of people around the world - helping unlock financial access to enable the future of money movement. Visa Cross-Border Solutions offers deep money movement capabilities to organisations across the globe. Powered by Currencycloud technology, Visa Cross-Border Solutions enhances, streamlines and simplifies integrating the cross-border financial tools of tomorrow. Clients can embed cross-border finance into the heart of their business and create sophisticated and user-friendly app-based experiences, connecting consumers and businesses around the world. Since 2012, the technology behind Visa Cross-Border Solutions has been used to process more than 250bn to over 180 countries, partnering with banks, businesses and fintechs all over the world. Partner with Visa: A Network Working for Everyone. What's it all about? Data Engineering Team at VXBS Our small but dynamic data engineering team we play a pivotal role in managing critical aspects of VXBS's data ecosystem. AWS : Our cloud computing platform. Snowflake : Our trusted data warehouse platform. DBT Core : We leverage DBT for data transformations and modelling. Matillion : An essential tool for orchestrating ETL workflows. Datadog: For monitoring and alerting. Terraform for our infrastructure, including Snowflake. The Balancing Act: As we embark on a transformation journey toward a more modern data stack, we find ourselves juggling our current workload while keeping an eye on the future. Our mission: seamlessly transition to a stack that empowers us even further. Join us as we navigate this exciting evolution, making data-driven decisions and shaping the future of VXBS Are you passionate about crafting robust data pipelines , fine-tuning performance , and empowering data-driven decisions ? The role will involve designing, developing, and maintaining robust data pipelines with a focus on automation and scalability, implementing data quality controls, optimising efficiency, collaborating with teams and researching new technologies. Key Responsibilities: Design, implement, and maintain cloud-based infrastructure and automation tools to support the development, testing, and deployment of software systems. Collaborate with cross-functional teams, including software development, operations, and quality assurance, to define and implement DevOps strategies and best practices. Develop and manage CI/CD pipelines, including build, test, and deployment automation, to enable efficient and reliable software delivery. Ensure the scalability, availability, and security of infrastructure systems, including monitoring, logging, and disaster recovery plans. Drive continuous improvement by identifying and implementing process enhancements, tools, and technologies to optimize the software development lifecycle. Collaborate with development teams to optimize application performance, troubleshoot issues, and implement efficient resource utilization. Stay up-to-date with industry trends, emerging technologies, and best practices in DevOps, cloud computing, and system administration. Join us as we propel our legacy stack into a more modern, efficient, and data-savvy future. If you're ready to make an impact, apply now If you are interested in a career that will challenge and inspire you - we'd love to hear from you Diversity & Inclusion Universal acceptance for everyone, everywhere, is not only our brand promise, it's the foundation of our company culture. We foster a feeling of connectedness in the workplace, support diversity of thought, culture and background, fight for important initiatives like Equal Pay and actively work to eliminate unconscious biases that hold us all back. By leveraging the diverse backgrounds and perspectives of our worldwide teams, Visa is a better place to work and a better business partner to our clients. This is a remote position. A remote position does not require job duties be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. Qualifications Qualifications: Proven experience in DevOps or system administration roles, with a focus on cloud-based infrastructure. Strong experience with AWS cloud platforms: including infrastructure provisioning, monitoring, and automation. Expert in Infrastructure as code using Terraform and AWS CloudFormation. Proficiency in scripting languages such as Python, Bash, or PowerShell, and experience with configuration management tools like Ansible, Chef, or Puppet. In-depth knowledge of CI/CD tools and practices, such as Jenkins, GitHub&GitHub Actions, ADO, GitLab CI/CD, or CircleCI, and experience with source code management systems like Git. Extensive experience with containerization technologies such as Docker and orchestration tools like Kubernetes, particularly EKS. Solid understanding of networking principles, security best practices, and system performance optimization. Excellent problem-solving skills and ability to troubleshoot complex issues in a distributed, cloud-based environment. Strong communication and collaboration skills, with the ability to effectively work with cross-functional teams and stakeholders. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law. Explore more AI, ML, Data Science career opportunities Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
Lead Data Scientist London - Flexible working Salary: 80,000 - 100,000 per annum + Bonus + permanent benefits As the Lead Data Scientist, you will play a pivotal role in shaping the strategic direction of data science initiatives. You will lead a team of highly skilled data scientists, working collaboratively with cross-functional teams to deliver actionable insights and solutions. This role requires expertise in GenAI, machine learning techniques, LLM (Large Language Models), NLP (Natural Language Processing), and other advanced technologies to drive innovation in the data-driven decision-making processes. Key Responsibilities: Leadership: Lead and inspire a team of data scientists, fostering a culture of collaboration, innovation, and continuous learning. Strategy: Develop and implement the data science strategy, aligning it with business objectives and driving innovation through the adoption of cutting-edge technologies. GenAI and Machine Learning: Drive the development and implementation of advanced machine learning models and GenAI solutions to extract meaningful insights from complex datasets. LLM and NLP: Utilize Large Language Models and Natural Language Processing techniques to enhance our understanding of unstructured data, providing valuable insights for decision-making. Collaboration: Work closely with cross-functional teams, including engineering, product, and business units, to integrate data science solutions into our products and services. Data Governance: Ensure data quality, security, and compliance with relevant regulations, fostering a culture of responsible data use. Innovation : Stay abreast of emerging technologies and industry trends, identifying opportunities to apply new techniques and methodologies to solve complex business challenges. Requirements: An advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or a related field. Proven experience (8+ years) in senior data science roles, focusing on Machine Learning, LLM, and NLP applications and experience/exposure to GenAI. Strong coding skills in Python or R, with a knack for NLP libraries. Experience with big data technologies and platforms, especially those compatible with LLM applications. Excellent communication and presentation skills. The ability to collaborate across departments and influence decision-making at the executive level.
Mar 22, 2024
Full time
Lead Data Scientist London - Flexible working Salary: 80,000 - 100,000 per annum + Bonus + permanent benefits As the Lead Data Scientist, you will play a pivotal role in shaping the strategic direction of data science initiatives. You will lead a team of highly skilled data scientists, working collaboratively with cross-functional teams to deliver actionable insights and solutions. This role requires expertise in GenAI, machine learning techniques, LLM (Large Language Models), NLP (Natural Language Processing), and other advanced technologies to drive innovation in the data-driven decision-making processes. Key Responsibilities: Leadership: Lead and inspire a team of data scientists, fostering a culture of collaboration, innovation, and continuous learning. Strategy: Develop and implement the data science strategy, aligning it with business objectives and driving innovation through the adoption of cutting-edge technologies. GenAI and Machine Learning: Drive the development and implementation of advanced machine learning models and GenAI solutions to extract meaningful insights from complex datasets. LLM and NLP: Utilize Large Language Models and Natural Language Processing techniques to enhance our understanding of unstructured data, providing valuable insights for decision-making. Collaboration: Work closely with cross-functional teams, including engineering, product, and business units, to integrate data science solutions into our products and services. Data Governance: Ensure data quality, security, and compliance with relevant regulations, fostering a culture of responsible data use. Innovation : Stay abreast of emerging technologies and industry trends, identifying opportunities to apply new techniques and methodologies to solve complex business challenges. Requirements: An advanced degree (Ph.D. or Master's) in Computer Science, Statistics, Mathematics, or a related field. Proven experience (8+ years) in senior data science roles, focusing on Machine Learning, LLM, and NLP applications and experience/exposure to GenAI. Strong coding skills in Python or R, with a knack for NLP libraries. Experience with big data technologies and platforms, especially those compatible with LLM applications. Excellent communication and presentation skills. The ability to collaborate across departments and influence decision-making at the executive level.