The demand for Natural Language Processing (NLP) specialists is growing across various sectors in the UK. NLP jobs involve developing algorithms and models that allow computers to understand, interpret, and generate human language. These roles are available in tech companies, research institutions, and businesses focused on 995 Nlp jobs in the United Kingdom
Senior Machine Learning Engineer - NLP
BN1 1AA East Sussex, South East
£75000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is looking for a highly skilled Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative and fully remote team. This role is at the cutting edge of AI, focusing on developing and deploying sophisticated NLP models that power our next generation of products and services. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and model training to deployment and monitoring in production environments. The ideal candidate will have a strong theoretical understanding of NLP techniques, practical experience with deep learning frameworks, and a passion for building scalable, high-performance ML systems.
Key Responsibilities:
Key Responsibilities:
- Design, build, train, and deploy advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, question answering, and summarization.
- Develop and implement efficient data pipelines for processing and preparing large volumes of text data.
- Research and apply state-of-the-art NLP techniques, including transformer architectures (e.g., BERT, GPT), word embeddings, and sequence models.
- Optimize ML models for performance, scalability, and resource efficiency in production environments.
- Collaborate with product managers, software engineers, and other data scientists to understand requirements and deliver impactful ML solutions.
- Implement and maintain MLOps practices for model versioning, deployment, monitoring, and retraining.
- Stay up-to-date with the latest advancements in NLP research and ML technologies.
- Mentor junior engineers and contribute to the team's technical growth.
- Write clean, maintainable, and well-documented code.
- Contribute to the architectural design of our machine learning infrastructure.
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning, with a strong focus on NLP.
- Proven experience in developing and deploying production-grade NLP models.
- Deep understanding of NLP concepts, algorithms, and common libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas).
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is highly desirable.
- Strong understanding of software engineering best practices and MLOps principles.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work effectively in a fully remote, agile team environment.
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Senior Machine Learning Engineer - NLP
LS1 1AA Leeds, Yorkshire and the Humber
£70000 Annually
WhatJobs
Posted 3 days ago
Job Viewed
Job Description
Our client is seeking a highly motivated and experienced Senior Machine Learning Engineer to join their cutting-edge AI research and development team. This role is pivotal in driving innovation in Natural Language Processing (NLP) and will involve developing and deploying advanced AI models. You will be responsible for the end-to-end lifecycle of ML projects, from ideation and data preprocessing to model training, evaluation, and production deployment. Key Responsibilities:
- Design, develop, and implement state-of-the-art machine learning models, particularly in NLP areas such as sentiment analysis, named entity recognition, question answering, and text summarization.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Conduct rigorous experimentation to benchmark and improve model performance.
- Process and manage large-scale datasets, ensuring data quality and integrity.
- Stay abreast of the latest advancements in AI, machine learning, and NLP research.
- Mentor junior engineers and contribute to the team's technical growth.
- Develop robust testing and validation strategies for ML models.
- Optimize models for performance, scalability, and efficiency.
- MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning, with a strong focus on NLP.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong understanding of deep learning architectures (e.g., RNNs, LSTMs, Transformers).
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
This advertiser has chosen not to accept applicants from your region.
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Senior Machine Learning Engineer - NLP
BD1 1AA Bradford, Yorkshire and the Humber
£85000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a cutting-edge AI firm specializing in AI & Emerging Technologies , is seeking a highly skilled Senior Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join their globally distributed, fully remote team. This role offers the chance to work on challenging and impactful projects at the forefront of AI innovation. You will be responsible for designing, developing, and deploying advanced NLP models and systems that power intelligent applications. The ideal candidate will have a strong foundation in machine learning, deep learning, and NLP techniques, including but not limited to, transformer models, sentiment analysis, named entity recognition, text summarization, and machine translation. You will collaborate with researchers and engineers to translate research concepts into production-ready solutions, optimize model performance, and ensure scalability and robustness. This position requires a proactive, self-motivated individual with excellent programming skills (Python, TensorFlow/PyTorch) and a proven ability to work effectively in a remote, agile environment. Your contributions will directly influence the capabilities of our next-generation AI products. If you are passionate about advancing the field of NLP and thrive in a remote-first setting, this is the opportunity for you.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement advanced NLP models and algorithms.
- Build and maintain scalable machine learning pipelines for NLP tasks.
- Collaborate with research teams to prototype and validate new ML techniques.
- Optimize and deploy NLP models into production environments.
- Conduct experiments, analyze results, and iterate on model performance.
- Write clean, efficient, and well-documented code.
- Stay current with the latest advancements in NLP and machine learning.
- Work effectively with cross-functional, remote teams.
- Master's or Ph.D. in Computer Science, AI, Machine Learning, or a related quantitative field.
- Significant experience as a Machine Learning Engineer with a focus on NLP.
- Deep understanding of NLP concepts, algorithms, and libraries (e.g., spaCy, NLTK, Hugging Face Transformers).
- Proficiency in Python and ML frameworks like TensorFlow or PyTorch.
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices.
- Strong problem-solving abilities and analytical skills.
- Excellent communication skills for remote collaboration.
- Proven ability to work independently and manage projects effectively.
- Track record of deploying models in production.
This advertiser has chosen not to accept applicants from your region.
2
Senior Machine Learning Engineer - NLP
NR1 3AA Norwich, Eastern
£70000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation, developing cutting-edge solutions that leverage the power of machine learning. We are seeking a highly skilled Senior Machine Learning Engineer with a specialisation in Natural Language Processing (NLP) to join our dynamic and forward-thinking team. In this role, you will be instrumental in designing, developing, and deploying advanced ML models that understand and generate human language, driving significant advancements in our products and services.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Design, develop, and implement state-of-the-art NLP models and algorithms for various applications, including text classification, sentiment analysis, topic modeling, machine translation, and question answering.
- Work with large datasets, perform data preprocessing, feature engineering, and model training.
- Evaluate and optimise model performance, ensuring accuracy, scalability, and efficiency.
- Collaborate with software engineers to integrate ML models into production systems.
- Stay current with the latest research and advancements in NLP and ML, and apply them to solve real-world problems.
- Contribute to the architectural design of ML systems and pipelines.
- Conduct experiments, analyse results, and present findings to technical and non-technical stakeholders.
- Mentor junior engineers and contribute to the growth of the ML team.
- Identify opportunities for leveraging AI and ML to enhance existing products or create new ones.
- Ensure ethical considerations and bias mitigation are addressed in model development.
- Collaborate with domain experts to gather requirements and define problem statements.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- 5+ years of hands-on experience in Machine Learning engineering, with a strong focus on NLP.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, spaCy, NLTK, Hugging Face Transformers.
- Strong understanding of deep learning architectures for NLP (e.g., LSTMs, Transformers, BERT, GPT).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving skills and the ability to tackle complex technical challenges.
- Strong communication and collaboration skills.
- Experience with big data technologies (e.g., Spark) is a plus.
- Proven track record of deploying ML models into production environments.
This advertiser has chosen not to accept applicants from your region.
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Senior Machine Learning Engineer - NLP
NE1 4AG Newcastle upon Tyne, North East
£80000 Annually
WhatJobs
Posted 7 days ago
Job Viewed
Job Description
Are you a seasoned Machine Learning Engineer with a passion for Natural Language Processing (NLP)? Our client, a cutting-edge AI research and development company, is looking for a talented individual to join their elite team on a fully remote basis. In this role, you will be at the forefront of developing and deploying advanced NLP models that power innovative applications, from sophisticated chatbots and sentiment analysis tools to groundbreaking text generation systems. You will work with large datasets, state-of-the-art algorithms, and cutting-edge deep learning frameworks to push the boundaries of what's possible with language AI.
Responsibilities:
Responsibilities:
- Design, develop, train, and deploy advanced Machine Learning models for NLP tasks, including but not limited to text classification, named entity recognition, machine translation, question answering, and text summarization.
- Implement and fine-tune state-of-the-art NLP architectures such as Transformers (e.g., BERT, GPT variants), LSTMs, and CNNs.
- Process and analyze large-scale text datasets, ensuring data quality and preparing it for model training.
- Collaborate with product managers, data scientists, and other engineers to understand business requirements and translate them into technical solutions.
- Develop and maintain robust ML pipelines for experimentation, training, and inference.
- Evaluate model performance using appropriate metrics and conduct rigorous testing to ensure accuracy and reliability.
- Optimize ML models for performance, scalability, and efficiency in production environments.
- Stay abreast of the latest research and advancements in NLP and ML, and apply them to our projects.
- Contribute to the team's knowledge sharing through code reviews, documentation, and presentations.
- Ensure ethical considerations and bias mitigation are integrated into the ML development lifecycle.
- Deploy models using cloud platforms and MLOps best practices.
- Debug and resolve issues related to model performance and data pipelines.
- Master's or PhD degree in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related quantitative field.
- Minimum of 5 years of professional experience in Machine Learning, with a strong focus on Natural Language Processing.
- Proven expertise in Python and common ML libraries/frameworks such as TensorFlow, PyTorch, scikit-learn, Keras.
- Deep understanding of NLP concepts, algorithms, and techniques.
- Experience with large language models (LLMs) and their practical applications.
- Proficiency in data manipulation and analysis libraries like Pandas and NumPy.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
- Strong software engineering skills, including experience with version control (e.g., Git) and CI/CD.
- Excellent analytical, problem-solving, and critical thinking abilities.
- Strong communication and collaboration skills, with the ability to work effectively in a remote team.
- Experience with distributed training and large-scale data processing is a plus.
This advertiser has chosen not to accept applicants from your region.
4
Senior Machine Learning Engineer - NLP
EH1 2AG Edinburgh, Scotland
£70000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client, a dynamic and innovative AI research firm, is seeking a talented Senior Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join their growing team. This role is based in the vibrant city of Edinburgh, Scotland, UK , offering a hybrid work model that blends collaborative office-based work with remote flexibility. You will play a key role in developing and deploying cutting-edge NLP solutions that power our advanced AI platforms. Your responsibilities will include designing, building, and optimizing ML models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
Key Responsibilities:
Key Responsibilities:
- Develop, train, and deploy advanced NLP models and algorithms using state-of-the-art techniques.
- Process and analyze large volumes of text data to extract meaningful insights.
- Build and maintain robust machine learning pipelines for NLP tasks.
- Collaborate with data scientists and software engineers to integrate NLP solutions into existing and new products.
- Fine-tune pre-trained language models (e.g., BERT, GPT) for specific applications.
- Evaluate model performance, identify areas for improvement, and implement optimizations.
- Stay current with the latest research and developments in NLP and machine learning.
- Contribute to the architectural design and scalability of our NLP infrastructure.
- Mentor junior engineers and share expertise within the team.
- Participate in code reviews and ensure adherence to best practices in software development.
- Communicate technical findings and project updates to stakeholders effectively.
- Explore and implement new NLP techniques for tasks like question answering, summarization, and text generation.
- Master's or PhD in Computer Science, Artificial Intelligence, Linguistics, or a related field with a focus on NLP.
- A minimum of 5 years of professional experience in machine learning engineering, with a specialization in NLP.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Hugging Face Transformers, and NLTK/spaCy.
- Solid understanding of NLP concepts, including embeddings, attention mechanisms, and various model architectures.
- Experience with cloud platforms (AWS, Azure, GCP) and ML deployment strategies.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities, comfortable working in a hybrid environment.
- Experience with containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Familiarity with data annotation and management for NLP tasks.
- Must be eligible to work in the UK and able to attend the Edinburgh office periodically.
This advertiser has chosen not to accept applicants from your region.
5
Lead Machine Learning Engineer - NLP
M1 1AA Manchester, North West
£80000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client is looking for a visionary Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to spearhead their advanced AI initiatives. This is a fully remote position, offering the ultimate flexibility for talented individuals across the UK. You will be responsible for designing, developing, and deploying state-of-the-art NLP models and solutions that will power innovative products and services. This role demands a deep technical understanding of ML algorithms, a passion for solving complex linguistic challenges, and the ability to lead and mentor a team of engineers and researchers. You will work on challenging problems, from text classification and sentiment analysis to advanced language generation and understanding.
Key Responsibilities:
Qualifications:
This is a unique opportunity to take a leading role in shaping the future of NLP at a company that values innovation and offers a truly remote working experience. The ideal candidate will thrive in a collaborative, fast-paced environment and be driven by a desire to solve challenging problems. While this role is fully remote, we encourage applications from individuals who are energized by the prospect of working from anywhere in the UK, with the core team ideally based near Manchester, Greater Manchester, UK .
Key Responsibilities:
- Lead the design, development, and implementation of production-ready NLP models and systems.
- Architect scalable and robust machine learning pipelines for data processing, model training, and deployment.
- Collaborate with product managers and data scientists to define NLP requirements and translate them into technical solutions.
- Mentor and guide a team of machine learning engineers and researchers, fostering a collaborative and innovative environment.
- Stay at the forefront of NLP research and advancements, identifying and evaluating new technologies and methodologies.
- Optimize model performance, efficiency, and scalability for large-scale applications.
- Develop and maintain best practices for code quality, testing, and deployment in ML systems.
- Contribute to the strategic vision for AI and NLP within the organization.
- Drive the end-to-end lifecycle of machine learning projects, from conceptualization to production deployment and monitoring.
- Effectively communicate complex technical concepts to both technical and non-technical stakeholders in a remote setting.
- Champion the ethical development and deployment of NLP technologies.
Qualifications:
- Master's or PhD in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
- Extensive experience (7+ years) in machine learning, with a strong specialization in NLP.
- Proven experience leading ML projects and/or teams.
- Deep understanding of core NLP tasks (e.g., tokenization, POS tagging, named entity recognition, parsing) and modern techniques (e.g., Transformers, BERT, GPT).
- Proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Experience with ML deployment strategies and MLOps practices.
- Strong software engineering skills, including experience with version control (Git) and CI/CD.
- Excellent problem-solving skills and the ability to tackle ambiguous challenges.
- Outstanding communication and leadership abilities, particularly in a remote team setting.
- Experience with cloud platforms (AWS, Azure, GCP) is a significant advantage.
- A passion for building impactful NLP solutions and driving innovation.
This is a unique opportunity to take a leading role in shaping the future of NLP at a company that values innovation and offers a truly remote working experience. The ideal candidate will thrive in a collaborative, fast-paced environment and be driven by a desire to solve challenging problems. While this role is fully remote, we encourage applications from individuals who are energized by the prospect of working from anywhere in the UK, with the core team ideally based near Manchester, Greater Manchester, UK .
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6
Senior Machine Learning Engineer, NLP
NE1 4AG Newcastle upon Tyne, North East
£70000 Annually
WhatJobs
Posted 9 days ago
Job Viewed
Job Description
Our client is at the forefront of innovation in the AI and Emerging Technologies sector, and we are seeking a highly skilled Senior Machine Learning Engineer specializing in Natural Language Processing (NLP). This role offers a significant opportunity to work on cutting-edge projects, contributing to the development of advanced AI solutions. You will be responsible for designing, building, and deploying machine learning models for NLP tasks, including text classification, sentiment analysis, named entity recognition, and machine translation. Your expertise will be crucial in developing robust and scalable AI systems that can understand and process human language. Key responsibilities include data preprocessing and feature engineering, model selection and training, performance evaluation, and deployment of models into production environments. You will collaborate closely with data scientists, software engineers, and product managers to define project requirements and deliver impactful solutions. Staying abreast of the latest research and advancements in NLP and machine learning is paramount. You will have the opportunity to contribute to research papers and present findings at conferences. The ideal candidate will possess a strong theoretical understanding of machine learning algorithms and practical experience in implementing them using frameworks such as TensorFlow, PyTorch, or scikit-learn. Proficiency in Python programming and experience with NLP libraries like NLTK, spaCy, or Hugging Face Transformers is essential. A Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field is highly preferred. Previous experience in a senior ML engineering role, with a focus on NLP, is required. You should be comfortable working with large datasets and have experience with cloud platforms (AWS, GCP, Azure). Strong problem-solving skills, excellent communication, and the ability to work effectively in a collaborative, remote team environment are also critical. If you are passionate about pushing the boundaries of AI and making a tangible impact through innovative technology, we want to hear from you. This is a chance to join a dynamic and forward-thinking team, working on challenging problems that have real-world applications. Our client offers a competitive salary, comprehensive benefits, and a flexible remote work environment. We are committed to fostering an inclusive and innovative workplace culture.
This advertiser has chosen not to accept applicants from your region.
7
Senior Machine Learning Engineer - NLP
EH7 4DP Edinburgh, Scotland
£75000 Annually
WhatJobs
Posted 13 days ago
Job Viewed
Job Description
Our client , a leader in AI innovation, is seeking a Senior Machine Learning Engineer with specialized expertise in Natural Language Processing (NLP) to join their growing team in Edinburgh, Scotland, UK . This is a hybrid role, offering a dynamic blend of in-office collaboration and remote flexibility.
As a Senior ML Engineer, you will be at the forefront of developing cutting-edge NLP models and solutions that drive our next generation of intelligent products and services. You will be responsible for the entire machine learning lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment. Your work will significantly impact how users interact with our technology.
Key Responsibilities:
The ideal candidate will possess a deep understanding of NLP concepts, a strong mathematical foundation, and extensive hands-on experience building and deploying complex ML models. You should be comfortable working in a fast-paced, collaborative environment and have a passion for solving challenging problems with data. This hybrid position offers an exciting opportunity to shape the future of AI within a thriving tech hub in Edinburgh, Scotland, UK .
Qualifications:
As a Senior ML Engineer, you will be at the forefront of developing cutting-edge NLP models and solutions that drive our next generation of intelligent products and services. You will be responsible for the entire machine learning lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment. Your work will significantly impact how users interact with our technology.
Key Responsibilities:
- Design, develop, and implement advanced NLP models, including but not limited to sentiment analysis, text classification, named entity recognition, machine translation, and question answering systems.
- Build and optimize robust data pipelines for training and evaluating machine learning models.
- Collaborate with product managers, researchers, and other engineers to define project requirements and translate them into scalable ML solutions.
- Stay current with the latest research and advancements in NLP and machine learning, and explore opportunities to integrate novel techniques.
- Deploy and maintain machine learning models in production environments, ensuring high availability and performance.
- Conduct thorough experimentation, model evaluation, and performance tuning to achieve optimal results.
- Develop and implement strategies for data augmentation, transfer learning, and few-shot learning to address data sparsity challenges.
- Mentor junior engineers and contribute to the team's technical growth and best practices.
- Write clean, well-documented, and efficient code in Python or other relevant programming languages.
- Contribute to the architectural design of our ML infrastructure and systems.
- Troubleshoot and resolve issues related to model performance and deployment.
The ideal candidate will possess a deep understanding of NLP concepts, a strong mathematical foundation, and extensive hands-on experience building and deploying complex ML models. You should be comfortable working in a fast-paced, collaborative environment and have a passion for solving challenging problems with data. This hybrid position offers an exciting opportunity to shape the future of AI within a thriving tech hub in Edinburgh, Scotland, UK .
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in machine learning, with a significant focus on NLP.
- Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers.
- Deep understanding of NLP techniques, algorithms, and frameworks (e.g., LSTMs, Transformers, BERT, GPT).
- Experience with data preprocessing, feature engineering, and model evaluation for text data.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong analytical, problem-solving, and critical thinking skills.
- Excellent communication and collaboration abilities.
- Experience with distributed computing frameworks (e.g., Spark) is a plus.
This advertiser has chosen not to accept applicants from your region.
8
Senior Machine Learning Engineer - NLP Specialization
LS1 1AA Leeds, Yorkshire and the Humber
£70000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is seeking a highly skilled and innovative Senior Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their dynamic team in Leeds, West Yorkshire, UK . This is an exciting opportunity to work on cutting-edge AI projects, contributing to the development of intelligent systems that drive business growth and enhance user experiences. You will be at the forefront of applying advanced AI techniques to complex real-world problems, from sentiment analysis and text generation to advanced dialogue systems and information extraction. Your expertise will be crucial in designing, implementing, and deploying sophisticated machine learning models that push the boundaries of what's possible in AI.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and deploy scalable machine learning models, with a primary focus on NLP tasks.
- Conduct research and experimentation to identify and implement novel AI algorithms and techniques.
- Collaborate closely with data scientists, software engineers, and product managers to understand business requirements and translate them into technical solutions.
- Preprocess and analyze large datasets, including text data, to extract meaningful insights and prepare data for model training.
- Evaluate and fine-tune model performance, ensuring robustness, accuracy, and efficiency.
- Stay abreast of the latest advancements in AI, ML, and NLP, and explore their potential applications within the company.
- Mentor junior engineers and contribute to the team's technical growth.
- Develop and maintain high-quality, well-documented code, adhering to best practices in software engineering.
- Contribute to the entire ML lifecycle, from ideation and prototyping to production deployment and monitoring.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Proven experience in building and deploying production-ready ML models, particularly in NLP.
- Strong programming skills in Python and proficiency with ML libraries such as TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers.
- Deep understanding of various NLP techniques, including but not limited to, word embeddings, sequence-to-sequence models, attention mechanisms, transformers, and language modeling.
- Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication and collaboration skills.
This advertiser has chosen not to accept applicants from your region.
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