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 1,573 Nlp jobs in the United Kingdom
Machine Learning Engineer - NLP
G1 4AB Glasgow, Scotland
£70000 Annually
WhatJobs
Posted 4 days ago
Job Viewed
Job Description
Our client, a pioneering AI research and development firm, is seeking a talented Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative team. This position offers a hybrid work model, allowing for a blend of in-office collaboration and remote flexibility, based out of our state-of-the-art facility in **Glasgow, Scotland, UK**. You will be at the forefront of developing and deploying cutting-edge NLP models that power our next-generation AI products. This role requires a deep understanding of machine learning algorithms, NLP techniques, and robust software engineering practices.
Key Responsibilities:
Qualifications:
This is an exciting opportunity to contribute to groundbreaking AI research and development within a highly collaborative and forward-thinking organization.
Key Responsibilities:
- Design, build, train, and deploy advanced NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
- Develop and maintain scalable ML pipelines for data preprocessing, model training, and inference.
- Collaborate with research scientists and product managers to define project requirements and translate them into technical specifications.
- Research and implement state-of-the-art NLP algorithms and techniques.
- Optimize model performance for efficiency, accuracy, and scalability.
- Write clean, maintainable, and well-documented code in Python.
- Work with large datasets, performing data cleaning, feature engineering, and analysis.
- Contribute to the continuous improvement of our ML infrastructure and best practices.
- Evaluate and benchmark different models and approaches.
- Stay current with the latest advancements in NLP and machine learning.
Qualifications:
- Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, or equivalent practical experience.
- Proven experience (3+ years) in developing and deploying NLP models.
- Strong proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
- Solid understanding of NLP concepts and techniques (e.g., Transformers, word embeddings, attention mechanisms).
- Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools.
- Familiarity with data processing frameworks like Spark is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Ability to work effectively in a hybrid work environment.
This is an exciting opportunity to contribute to groundbreaking AI research and development within a highly collaborative and forward-thinking organization.
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning Engineer (NLP)
DE1 0AA Derby, East Midlands
£50000 Annually
WhatJobs
Posted 10 days ago
Job Viewed
Job Description
Our client is a forward-thinking company in **AI & Emerging Technologies** seeking a talented Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their team in **Derby, Derbyshire, UK**. This is an exceptional opportunity to work on innovative AI solutions that are shaping the future of how we interact with technology. You will be responsible for the design, development, and implementation of machine learning models and algorithms, with a specific focus on NLP tasks such as text classification, sentiment analysis, named entity recognition, and machine translation.
Your role will involve:
Your role will involve:
- Developing and deploying robust NLP models using state-of-the-art techniques.
- Collaborating closely with data scientists, software engineers, and product managers to integrate ML solutions into production systems.
- Processing and analyzing large volumes of text data to extract meaningful insights.
- Building and maintaining data pipelines for NLP model training and evaluation.
- Evaluating model performance, identifying areas for improvement, and implementing enhancements.
- Staying abreast of the latest research and advancements in NLP and machine learning.
- Contributing to the development of AI-driven products and features.
- Writing clean, efficient, and well-documented code in Python.
- Participating in code reviews and contributing to team best practices.
- Presenting technical findings and progress to stakeholders.
This advertiser has chosen not to accept applicants from your region.
1
Senior Machine Learning Engineer - NLP
SO14 0AB Southampton, South East
£75000 Annually
WhatJobs
Posted 1 day ago
Job Viewed
Job Description
Our client is at the forefront of AI innovation and is seeking an accomplished Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their cutting-edge team. This is a fully remote position, allowing you to contribute your expertise from anywhere in the UK and collaborate with a diverse, globally distributed workforce. You will be responsible for designing, developing, and deploying advanced NLP models and solutions that drive intelligent systems and enhance user experiences. This role demands a deep understanding of state-of-the-art NLP techniques, including transformer architectures, language modeling, sentiment analysis, named entity recognition, and machine translation. You will work with vast amounts of text data, conduct rigorous experimentation, and translate complex linguistic challenges into scalable, high-performance machine learning systems. The ideal candidate is a passionate AI researcher and engineer with a strong academic background and a proven track record of delivering impactful NLP applications.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement sophisticated NLP models and algorithms for various applications, including text classification, information extraction, summarization, and question answering.
- Work with large-scale text datasets, performing preprocessing, feature engineering, and data augmentation.
- Build, train, and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow.
- Develop and deploy NLP models into production environments, ensuring scalability, efficiency, and robustness.
- Collaborate with product managers, software engineers, and data scientists to define NLP requirements and integrate models into existing products and services.
- Conduct research into novel NLP techniques and approaches, evaluating their potential impact and applicability.
- Optimize model performance, inference speed, and resource utilization.
- Stay abreast of the latest advancements in NLP, language modeling, and AI research.
- Communicate complex technical concepts and research findings clearly to both technical and non-technical audiences.
- Contribute to the development of MLOps pipelines for continuous integration, testing, and deployment of NLP models.
- Mentor junior engineers and contribute to a culture of innovation and technical excellence.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related field with a specialization in NLP.
- 5+ years of hands-on experience in machine learning engineering, with a strong focus on Natural Language Processing.
- Expertise in modern NLP architectures such as Transformers (BERT, GPT, etc.) and their applications.
- Proficiency in Python and common NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK, Gensim).
- Strong experience with deep learning frameworks like PyTorch or TensorFlow.
- Solid understanding of natural language understanding (NLU) and natural language generation (NLG) concepts.
- Experience with cloud platforms (AWS, Azure, GCP) and their ML/NLP services.
- Familiarity with MLOps principles and tools for model deployment and management.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication, collaboration, and leadership abilities.
- Demonstrated ability to deliver impactful NLP solutions from research to production.
This advertiser has chosen not to accept applicants from your region.
2
Senior Machine Learning Engineer - NLP
MK1 1AA Milton Keynes, South East
£75000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is a rapidly growing technology firm that specializes in leveraging AI to enhance customer engagement, and they are looking for a talented Senior Machine Learning Engineer with a focus on Natural Language Processing (NLP) to join their team in Milton Keynes, Buckinghamshire, UK . This hybrid role offers a fantastic opportunity to work on challenging projects, developing and deploying sophisticated NLP models that drive innovation in their core products. You will play a crucial role in building intelligent systems that understand and process human language.
In this hybrid capacity, you will have the flexibility to split your time between working remotely and collaborating in our modern Milton Keynes office. This blend allows for focused independent work and valuable in-person team synergy. The ideal candidate will possess a strong theoretical foundation in machine learning and NLP, coupled with hands-on experience in developing, training, and deploying production-ready ML models. Expertise in areas such as text classification, sentiment analysis, named entity recognition, question answering, and language generation is essential. Proficiency with Python and popular ML frameworks like TensorFlow or PyTorch is a prerequisite.
Key Responsibilities:
Qualifications:
In this hybrid capacity, you will have the flexibility to split your time between working remotely and collaborating in our modern Milton Keynes office. This blend allows for focused independent work and valuable in-person team synergy. The ideal candidate will possess a strong theoretical foundation in machine learning and NLP, coupled with hands-on experience in developing, training, and deploying production-ready ML models. Expertise in areas such as text classification, sentiment analysis, named entity recognition, question answering, and language generation is essential. Proficiency with Python and popular ML frameworks like TensorFlow or PyTorch is a prerequisite.
Key Responsibilities:
- Design, develop, train, and deploy machine learning models, with a strong emphasis on NLP techniques.
- Build and maintain data pipelines for ingesting, processing, and transforming text data.
- Collaborate with software engineers and product managers to integrate ML models into production systems.
- Evaluate and benchmark model performance, identifying areas for improvement.
- Research and implement state-of-the-art NLP algorithms and techniques.
- Optimize ML models for performance, scalability, and efficiency.
- Contribute to the MLOps lifecycle, including model monitoring and retraining.
- Stay current with the latest research and industry trends in AI, ML, and NLP.
- Mentor junior engineers and share knowledge within the team.
- Document ML models, processes, and experiments thoroughly.
Qualifications:
- Master's or Ph.D. in Computer Science, Machine Learning, AI, or a related quantitative field.
- 5+ years of professional experience in machine learning engineering.
- Demonstrated expertise in Natural Language Processing (NLP) and its applications.
- Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, PyTorch, or Keras.
- Experience with NLP libraries like NLTK, spaCy, Hugging Face Transformers.
- Solid understanding of machine learning fundamentals, algorithms, and statistical modeling.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is desirable.
- Strong problem-solving and analytical skills.
- Excellent communication and teamwork abilities.
- Experience with data engineering and building robust data pipelines.
This advertiser has chosen not to accept applicants from your region.
3
Senior Machine Learning Engineer - NLP
CV1 1FY Coventry, West Midlands
£75000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client, a dynamic tech startup developing innovative AI-powered solutions for customer engagement, is looking for a talented Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their growing team in Coventry, West Midlands, UK . This role will be at the forefront of building and deploying sophisticated NLP models to understand and generate human language. You will be responsible for the end-to-end machine learning lifecycle, from data preprocessing and model training to deployment and performance monitoring. The ideal candidate has a strong theoretical understanding of NLP techniques, practical experience with deep learning frameworks, and a passion for solving challenging real-world problems with AI. This is a hybrid role, requiring a balance of remote work and in-office collaboration.
Key Responsibilities:
Qualifications and Experience:
This is an exciting opportunity to contribute to cutting-edge AI development within a collaborative and innovative environment. The role offers a blend of remote flexibility and team synergy, based in our client's office in Coventry, West Midlands, UK .
Key Responsibilities:
- Design, develop, and implement state-of-the-art NLP models for tasks such as text classification, sentiment analysis, entity recognition, and question answering.
- Preprocess and clean large volumes of text data for model training.
- Train, fine-tune, and evaluate machine learning models using deep learning frameworks (e.g., TensorFlow, PyTorch).
- Deploy ML models into production environments using MLOps best practices.
- Monitor model performance in production and implement strategies for continuous improvement.
- Collaborate with software engineers and product managers to integrate ML capabilities into applications.
- Stay up-to-date with the latest research and advancements in NLP and machine learning.
- Conduct experiments and analyze results to drive model improvements.
- Document model architectures, training procedures, and evaluation metrics.
- Contribute to the team's technical discussions and architectural decisions.
Qualifications and Experience:
- Master's or PhD in Computer Science, AI, Machine Learning, Computational Linguistics, or a related field.
- 3-5 years of hands-on experience in machine learning, with a significant focus on NLP.
- Proficiency in Python and popular ML libraries (e.g., scikit-learn, NLTK, spaCy).
- Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras.
- Strong understanding of transformer architectures, recurrent neural networks, and other deep learning models for NLP.
- Experience with cloud platforms (AWS, Azure, GCP) and ML deployment tools is a plus.
- Solid data manipulation and analysis skills.
- Excellent problem-solving and analytical abilities.
- Strong communication and collaboration skills.
- Ability to work effectively in a hybrid work environment.
This is an exciting opportunity to contribute to cutting-edge AI development within a collaborative and innovative environment. The role offers a blend of remote flexibility and team synergy, based in our client's office in Coventry, West Midlands, UK .
This advertiser has chosen not to accept applicants from your region.
4
Principal Machine Learning Engineer (NLP)
BT1 1AA Belfast, Northern Ireland
£80000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is seeking a highly experienced Principal Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their innovative, fully remote team. This role is pivotal in driving the development and deployment of cutting-edge AI solutions that leverage advanced NLP techniques. You will be instrumental in designing, building, and scaling machine learning models for tasks such as text classification, sentiment analysis, named entity recognition, question answering, and machine translation. A deep understanding of modern NLP frameworks and libraries (e.g., Hugging Face Transformers, spaCy, NLTK) and deep learning architectures (e.g., LSTMs, GRUs, Transformers) is essential. You will lead complex projects from conception to production, collaborating closely with data scientists, software engineers, and product managers in a distributed environment. Responsibilities include architecting robust ML pipelines, conducting rigorous model evaluation, optimizing model performance for production, and staying at the forefront of NLP research. The ideal candidate will have a strong background in Python programming and experience with cloud platforms (AWS, Azure, GCP) and MLOps practices. You will mentor junior engineers, contribute to architectural decisions, and champion best practices in machine learning and data science. This is a fully remote position, offering flexibility and the opportunity to work with a global team. You will be expected to drive initiatives, communicate effectively across time zones, and contribute to a culture of technical excellence. Our client is committed to building impactful AI products and offers a stimulating environment for growth and innovation.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and deploy advanced NLP models and algorithms.
- Lead the end-to-end machine learning lifecycle, from data preprocessing to model deployment and monitoring.
- Architect scalable and robust ML pipelines for NLP tasks.
- Conduct thorough research and experimentation to identify state-of-the-art NLP solutions.
- Optimize model performance, efficiency, and scalability for production environments.
- Collaborate with cross-functional teams to define ML requirements and integrate solutions.
- Mentor junior machine learning engineers and data scientists.
- Stay current with NLP research and emerging technologies, and share knowledge with the team.
- Contribute to the development of best practices in MLOps and machine learning engineering.
- MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
- Minimum of 8 years of experience in machine learning engineering, with a strong focus on NLP.
- Proven expertise in developing and deploying production-level NLP models.
- Proficiency in Python and relevant ML/NLP libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers).
- Strong understanding of deep learning architectures and NLP concepts.
- Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
- Familiarity with MLOps tools and methodologies.
- Excellent problem-solving, analytical, and communication skills.
- Experience leading technical projects and mentoring engineers.
This advertiser has chosen not to accept applicants from your region.
5
Senior Machine Learning Engineer (NLP)
M1 2WD Manchester, North West
£70000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is building a world-class, remote-first AI and Emerging Technologies division and is looking for a Senior Machine Learning Engineer specializing in Natural Language Processing (NLP). This role is pivotal in driving innovation in cutting-edge AI applications. You will be responsible for designing, developing, and deploying advanced NLP models and solutions that solve complex business problems. This includes working on tasks such as sentiment analysis, text classification, named entity recognition, question answering, and text generation. You will collaborate with data scientists, software engineers, and product managers to integrate ML models into production systems, ensuring scalability, performance, and reliability. The ideal candidate will have a strong background in machine learning, deep learning, and NLP techniques, coupled with practical experience in building and deploying production-ready ML systems. Proficiency in Python and ML libraries like TensorFlow, PyTorch, scikit-learn, and Hugging Face Transformers is essential. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly desirable. You should possess excellent problem-solving skills, a deep understanding of statistical methods, and the ability to work effectively in a collaborative, fast-paced, and distributed team environment. A passion for staying abreast of the latest research and developments in AI and NLP is crucial. This is a unique opportunity to shape the future of AI for a forward-thinking organization, working on challenging problems with significant impact.
This advertiser has chosen not to accept applicants from your region.
Be The First To Know
About the latest Nlp Jobs in United Kingdom !
6
Machine Learning Engineer - NLP Focus
BD1 1AB Bradford, Yorkshire and the Humber
£55000 Annually
WhatJobs
Posted 5 days ago
Job Viewed
Job Description
Our client is looking for an innovative Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their growing AI and Emerging Technologies department in Bradford, West Yorkshire, UK . This role will involve developing and deploying cutting-edge NLP models to enhance our products and services, extract valuable insights from text data, and drive intelligent automation. You will be part of a collaborative team working on challenging problems at the intersection of AI and practical business applications.
You will have the opportunity to work with large datasets, implement advanced NLP techniques, and contribute to the entire machine learning lifecycle, from data preprocessing and model training to deployment and performance monitoring. A strong understanding of deep learning frameworks and a passion for staying updated with the latest advancements in NLP are essential. This hybrid role offers the flexibility to work remotely and collaborate in person at our Bradford office, fostering a balanced and productive work environment.
Responsibilities:
You will have the opportunity to work with large datasets, implement advanced NLP techniques, and contribute to the entire machine learning lifecycle, from data preprocessing and model training to deployment and performance monitoring. A strong understanding of deep learning frameworks and a passion for staying updated with the latest advancements in NLP are essential. This hybrid role offers the flexibility to work remotely and collaborate in person at our Bradford office, fostering a balanced and productive work environment.
Responsibilities:
- Develop, train, and deploy NLP models for tasks such as sentiment analysis, named entity recognition, text summarization, and question answering.
- Implement and fine-tune state-of-the-art NLP architectures (e.g., Transformers, BERT, GPT).
- Process and analyze large volumes of text data, ensuring data quality and relevance.
- Collaborate with data scientists and software engineers to integrate ML models into production systems.
- Conduct research on new NLP techniques and evaluate their applicability to business problems.
- Optimize ML models for performance, scalability, and efficiency.
- Develop and maintain robust data pipelines for NLP model training and inference.
- Monitor model performance in production and implement retraining strategies as needed.
- Contribute to the development of reusable ML components and best practices.
- Stay abreast of the latest research and trends in NLP and AI.
- Participate in code reviews and knowledge-sharing sessions.
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Proven experience in developing and deploying NLP models in a production environment.
- Strong programming skills in Python and proficiency with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Experience with deep learning frameworks such as TensorFlow or PyTorch.
- Familiarity with machine learning concepts and algorithms.
- Experience with data preprocessing, feature engineering, and model evaluation for text data.
- Understanding of cloud platforms (AWS, Azure, GCP) for ML workloads.
- Excellent analytical and problem-solving abilities.
- Strong communication skills, with the ability to explain complex technical concepts.
- Experience working in a hybrid work model.
- Familiarity with big data technologies is a plus.
This advertiser has chosen not to accept applicants from your region.
7
Machine Learning Engineer (NLP Focus)
CV1 2AA Coventry, West Midlands
£60000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client is at the forefront of developing innovative AI solutions and is seeking a highly skilled Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their rapidly growing, fully remote team. This role is ideal for a candidate passionate about pushing the boundaries of AI and eager to contribute to cutting-edge projects. You will be responsible for designing, developing, and deploying sophisticated NLP models and algorithms to extract insights from unstructured text data. This includes tasks such as sentiment analysis, named entity recognition, topic modeling, and text summarization. You will work with large datasets, perform data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow, PyTorch, or Keras is essential, along with a solid understanding of NLP techniques and libraries such as NLTK, spaCy, or Hugging Face Transformers. The successful candidate will have a strong programming background in Python and be comfortable with cloud platforms (AWS, Azure, GCP) and MLOps practices. You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into practical AI solutions. This remote position requires excellent communication skills, the ability to work independently, and a proactive approach to problem-solving. You will contribute to research and development efforts, staying abreast of the latest advancements in NLP and machine learning. We are looking for individuals who can demonstrate a strong portfolio of NLP projects and a deep understanding of machine learning principles. The ability to communicate complex technical concepts to non-technical stakeholders is also highly valued. This is a unique opportunity to join a forward-thinking organization and make a tangible impact in the rapidly evolving field of AI, all from the comfort of your remote workspace. The **job location** is based in **Coventry, West Midlands, UK**, but this is a fully remote opportunity.
This advertiser has chosen not to accept applicants from your region.
8
Senior Machine Learning Engineer - NLP
OX1 2JA Oxford, South East
£75000 Annually
WhatJobs
Posted 8 days ago
Job Viewed
Job Description
Our client, a pioneering force in AI & Emerging Technologies, is seeking a Senior Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join their highly innovative team. This role is fully remote, offering the flexibility to work from anywhere while contributing to state-of-the-art AI development. You will be responsible for designing, building, and deploying advanced NLP models and systems that drive intelligent solutions for a variety of applications. This position requires a deep understanding of machine learning principles, NLP techniques, and robust software engineering practices. You will work on challenging problems, transforming text data into actionable insights and intelligent features. Key Responsibilities:
- Develop and implement sophisticated NLP models for tasks such as text classification, sentiment analysis, named entity recognition, machine translation, and question answering.
- Design, train, and evaluate machine learning models using various algorithms and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
- Build and maintain scalable data pipelines for processing and managing large volumes of text data.
- Deploy NLP models into production environments, ensuring their performance, reliability, and scalability.
- Collaborate with product managers, data scientists, and other engineers to define requirements and deliver cutting-edge AI features.
- Optimize model performance and efficiency for real-time applications.
- Conduct research into new NLP techniques and technologies, identifying opportunities for innovation.
- Stay up-to-date with the latest advancements in NLP, deep learning, and machine learning research.
- Write clean, well-documented, and maintainable code.
- Contribute to the development of MLOps best practices for NLP workflows.
- Master's or Ph.D. in Computer Science, Artificial Intelligence, Linguistics, or a related quantitative field.
- Minimum of 5 years of experience in machine learning, with a strong specialization in NLP.
- Proven experience in developing and deploying NLP models in production.
- Proficiency in programming languages such as Python, and experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
- Strong understanding of deep learning architectures relevant to NLP (e.g., RNNs, LSTMs, Transformers).
- Experience with cloud platforms (AWS, Azure, GCP) and associated ML services.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and collaboration skills for effective remote teamwork.
This advertiser has chosen not to accept applicants from your region.
9