What Jobs are available for Nlp Engineer in the United Kingdom?
Showing 1390 Nlp Engineer jobs in the United Kingdom
Natural Language Processing (NLP) Engineer
Cambridge, South West
Your Personal AI
Posted 9 days ago
Job Viewed
Job Description
Natural Language Processing (NLP) Engineer at Your Personal AI
Job Requirements for Natural Language Processing (NLP) Engineer at Your Personal AI
Your Personal AI is seeking a talented Natural Language Processing (NLP) Engineer to join our AI Research and Development department. As an NLP Engineer, you will play a key role in developing cutting-edge algorithms and models to enhance our AI technology.
Collaborate with a team of researchers and developers to design and implement NLP solutions
Utilize machine learning techniques to improve language understanding and processing
Conduct experiments and analyze data to optimize NLP algorithms
Stay up-to-date with the latest advancements in NLP and AI technologies
If you are passionate about NLP and have a strong background in machine learning and data analysis, we would love to hear from you. Join us at Your Personal AI and be part of a dynamic team that is shaping the future of artificial intelligence.
Job Requirements for Natural Language Processing (NLP) Engineer at Your Personal AI
Thank you for your interest in the NLP Engineer role at Your Personal AI in the AI Research and Development department. To ensure we find the best candidate for this position, please review and include the following job requirements in your job posting:
Bachelor's degree in Computer Science, Engineering, or related field
Proven experience in developing NLP algorithms and models
Familiarity with machine learning techniques and frameworks
Proficiency in programming languages such as Python, Java, or C++
Strong analytical and problem-solving skills
Excellent communication and teamwork abilities
Ability to work independently and meet project deadlines
If the job requirements are not met, we kindly ask you to revise the job posting accordingly. Thank you for your attention to this matter.
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0
Senior NLP Engineer (London)
London, London
Glite Tech
Posted 13 days ago
Job Viewed
Job Description
We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners.
We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs.
We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company.
What you will do
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1
Senior NLP Engineer (London)
Glite Tech
Posted 13 days ago
Job Viewed
Job Description
We are a small London startup with the ambition to change education with ML-powered tutoring . Our flagship product is a mobile application for teaching English to intermediate and advanced learners.
We’re on the verge of solving one of the biggest challenges in education – making high-quality, personalised learning accessible to everyone . We are building a fundamental model for education - one that can accurately predict student knowledge and orchestrate lessons, adapting to the students needs.
We’re looking for a Senior NLP Engineer , with a proven track record of delivering ML models to production, to join the ML team in our growing company.
What you will do
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2
Machine Learning Engineer - NLP
AB10 1AA Aberdeen, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a leader in developing intelligent solutions, is seeking a talented Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join their innovative team. This role offers the exciting opportunity to work remotely and contribute to the advancement of cutting-edge AI technologies. You will be responsible for designing, developing, and deploying robust NLP models and algorithms that can understand, interpret, and generate human language. The successful candidate will play a pivotal role in building sophisticated applications that leverage text data, from sentiment analysis and chatbots to advanced information retrieval systems.
Key responsibilities include:
Candidates must have a Master's or PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a strong focus on NLP. Proven experience in developing and deploying NLP models in a professional setting is essential. Proficiency in Python and relevant libraries (e.g., NLTK, spaCy, Transformers) is required. A solid understanding of machine learning principles, statistical modeling, and deep learning is also necessary. Excellent problem-solving abilities, strong analytical skills, and the capacity to work independently in a remote setting are critical. This is an exceptional remote opportunity for an NLP specialist looking to make a significant impact from Aberdeen, Scotland, UK .
Key responsibilities include:
- Developing and implementing NLP models for tasks such as text classification, named entity recognition, topic modeling, and question answering.
- Utilizing deep learning frameworks like TensorFlow or PyTorch for building and training complex NLP models.
- Processing and cleaning large volumes of text data, ensuring data quality and integrity.
- Evaluating model performance, conducting rigorous testing, and identifying areas for improvement.
- Collaborating with cross-functional teams, including data scientists, software engineers, and product managers, to deliver AI-powered features.
- Researching and applying state-of-the-art NLP techniques and staying updated with the latest advancements in the field.
- Deploying machine learning models into production environments, ensuring scalability and efficiency.
- Contributing to the design and architecture of our AI platforms and services.
- Documenting models, experiments, and deployment processes thoroughly.
Candidates must have a Master's or PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a strong focus on NLP. Proven experience in developing and deploying NLP models in a professional setting is essential. Proficiency in Python and relevant libraries (e.g., NLTK, spaCy, Transformers) is required. A solid understanding of machine learning principles, statistical modeling, and deep learning is also necessary. Excellent problem-solving abilities, strong analytical skills, and the capacity to work independently in a remote setting are critical. This is an exceptional remote opportunity for an NLP specialist looking to make a significant impact from Aberdeen, Scotland, UK .
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3
Machine Learning Engineer (NLP)
CV1 1AA Coventry, West Midlands
£65000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a leader in AI-driven solutions, is seeking a talented Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their innovative team in Coventry, West Midlands, UK . This position offers a hybrid working arrangement, fostering collaboration and flexibility.
As a Machine Learning Engineer focusing on NLP, you will be responsible for designing, building, and deploying sophisticated NLP models and pipelines. Your work will involve developing solutions for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation. You will collaborate closely with data scientists, software engineers, and domain experts to integrate these models into production systems and drive business value.
Key responsibilities include conducting research into state-of-the-art NLP techniques, experimenting with different algorithms and architectures, and fine-tuning pre-trained language models. You will manage the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Proficiency in Python and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) and deep learning frameworks (e.g., TensorFlow, PyTorch) are essential. Strong understanding of statistical methods and machine learning principles is required.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field, with a proven track record in NLP development. A minimum of 3 years of professional experience in machine learning engineering is required. Excellent programming skills, strong analytical and problem-solving abilities, and the capacity to work effectively in a team environment are crucial. You should be adept at translating complex technical concepts into actionable insights and solutions. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
We are seeking an individual who is passionate about the potential of language technology and driven to build impactful AI applications. If you are a skilled ML Engineer with a strong background in NLP and a desire to contribute to cutting-edge projects, we encourage you to apply. Join our collaborative and innovative research and development environment.
As a Machine Learning Engineer focusing on NLP, you will be responsible for designing, building, and deploying sophisticated NLP models and pipelines. Your work will involve developing solutions for tasks such as text classification, sentiment analysis, named entity recognition, and machine translation. You will collaborate closely with data scientists, software engineers, and domain experts to integrate these models into production systems and drive business value.
Key responsibilities include conducting research into state-of-the-art NLP techniques, experimenting with different algorithms and architectures, and fine-tuning pre-trained language models. You will manage the end-to-end machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Proficiency in Python and experience with NLP libraries (e.g., spaCy, NLTK, Hugging Face Transformers) and deep learning frameworks (e.g., TensorFlow, PyTorch) are essential. Strong understanding of statistical methods and machine learning principles is required.
The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related quantitative field, with a proven track record in NLP development. A minimum of 3 years of professional experience in machine learning engineering is required. Excellent programming skills, strong analytical and problem-solving abilities, and the capacity to work effectively in a team environment are crucial. You should be adept at translating complex technical concepts into actionable insights and solutions. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is a plus.
We are seeking an individual who is passionate about the potential of language technology and driven to build impactful AI applications. If you are a skilled ML Engineer with a strong background in NLP and a desire to contribute to cutting-edge projects, we encourage you to apply. Join our collaborative and innovative research and development environment.
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4
Machine Learning Engineer - NLP
RG1 1DE Reading, South East
£75000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a leader in developing cutting-edge AI solutions, is looking for a talented Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their vibrant team in **Reading, Berkshire, UK**. This role offers an exciting opportunity to work on innovative projects that leverage the power of language AI to solve complex business challenges. You will be responsible for designing, developing, and deploying advanced NLP models and applications.
Key responsibilities include researching and implementing state-of-the-art NLP algorithms, building and optimizing machine learning pipelines, and working with large-scale text datasets. You will collaborate with data scientists, software engineers, and product managers to translate business requirements into effective AI solutions. This role involves fine-tuning pre-trained language models, developing custom NLP components, and evaluating model performance. You will also be involved in deploying models into production environments and monitoring their performance. Strong skills in data preprocessing, feature engineering, and model interpretation are essential. The ideal candidate will have a passion for staying at the forefront of NLP research and applying it to real-world problems. You will contribute to the continuous improvement of our AI capabilities and play a key role in shaping the future of our language-based products.
The ideal candidate will hold a Master's or PhD in Computer Science, Artificial Intelligence, or a related field, with a strong focus on NLP. A minimum of 4 years of hands-on experience in developing and deploying NLP models using Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy, Hugging Face Transformers) is required. Proven experience with various NLP tasks such as text classification, sentiment analysis, named entity recognition, and language generation is essential. Strong understanding of deep learning architectures for NLP, including RNNs, LSTMs, and Transformers, is crucial. Excellent programming skills, proficiency in data manipulation, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. You must possess strong analytical and problem-solving abilities, excellent communication skills, and the ability to work effectively in a collaborative team environment. This is a fantastic opportunity for a skilled ML Engineer to make a significant impact in the rapidly evolving field of AI.
Key responsibilities include researching and implementing state-of-the-art NLP algorithms, building and optimizing machine learning pipelines, and working with large-scale text datasets. You will collaborate with data scientists, software engineers, and product managers to translate business requirements into effective AI solutions. This role involves fine-tuning pre-trained language models, developing custom NLP components, and evaluating model performance. You will also be involved in deploying models into production environments and monitoring their performance. Strong skills in data preprocessing, feature engineering, and model interpretation are essential. The ideal candidate will have a passion for staying at the forefront of NLP research and applying it to real-world problems. You will contribute to the continuous improvement of our AI capabilities and play a key role in shaping the future of our language-based products.
The ideal candidate will hold a Master's or PhD in Computer Science, Artificial Intelligence, or a related field, with a strong focus on NLP. A minimum of 4 years of hands-on experience in developing and deploying NLP models using Python and relevant libraries (e.g., TensorFlow, PyTorch, spaCy, Hugging Face Transformers) is required. Proven experience with various NLP tasks such as text classification, sentiment analysis, named entity recognition, and language generation is essential. Strong understanding of deep learning architectures for NLP, including RNNs, LSTMs, and Transformers, is crucial. Excellent programming skills, proficiency in data manipulation, and experience with cloud platforms (AWS, Azure, GCP) are highly desirable. You must possess strong analytical and problem-solving abilities, excellent communication skills, and the ability to work effectively in a collaborative team environment. This is a fantastic opportunity for a skilled ML Engineer to make a significant impact in the rapidly evolving field of AI.
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5
Machine Learning Engineer - NLP
G1 4AB Glasgow, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 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.
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6
Lead Machine Learning Engineer (NLP)
MK7 7DA Milton Keynes, South East
£65000 Annually
WhatJobs Direct
Posted 1 day ago
Job Viewed
Job Description
Our client, a forward-thinking technology company at the forefront of AI innovation, is seeking an experienced Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their team in Milton Keynes, Buckinghamshire, UK . This hybrid position offers the chance to lead the development and deployment of cutting-edge NLP models and solutions. You will work on challenging projects that leverage the power of language to drive business impact. The ideal candidate possesses a strong blend of theoretical knowledge, practical ML engineering skills, and leadership capabilities.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of NLP models and pipelines for tasks such as text classification, sentiment analysis, entity recognition, and machine translation.
- Engineer and optimize machine learning models for production environments, ensuring scalability, performance, and reliability.
- Collaborate with data scientists, software engineers, and product managers to define project requirements and deliver high-quality ML solutions.
- Mentor and guide junior ML engineers and data scientists, fostering best practices in model development and deployment.
- Stay current with the latest research and advancements in NLP, deep learning, and machine learning.
- Develop and maintain robust data preprocessing and feature engineering pipelines for NLP tasks.
- Implement and manage MLOps practices for model monitoring, versioning, and retraining.
- Conduct thorough testing and validation of models to ensure accuracy and effectiveness.
- Contribute to the architectural design of ML systems and platforms.
- Present technical findings and project updates to stakeholders.
- Master's degree or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Computational Linguistics, or a related field.
- A minimum of 5 years of hands-on experience in machine learning engineering, with a strong focus on NLP.
- Proficiency in Python and core ML/NLP libraries (e.g., TensorFlow, PyTorch, scikit-learn, Hugging Face Transformers, spaCy, NLTK).
- Solid understanding of machine learning algorithms, statistical modelling, and deep learning architectures relevant to NLP.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Proven ability to productionize ML models and manage their lifecycle.
- Excellent problem-solving and analytical skills.
- Strong leadership and team collaboration capabilities.
- Experience with MLOps tools and frameworks is highly desirable.
- Ability to work effectively in a hybrid setup, splitting time between remote work and our Milton Keynes office.
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7
Lead Machine Learning Engineer - NLP
OX1 1LF Oxford, South East
£75000 Annually
WhatJobs Direct
Posted 4 days ago
Job Viewed
Job Description
Our client is at the forefront of AI research and development, seeking an innovative Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their team in **Oxford**. This hybrid role combines collaborative in-office work with remote flexibility, offering a unique opportunity to shape the future of AI-driven language understanding. You will lead a talented team in designing, developing, and deploying advanced NLP models and applications that tackle complex real-world challenges. This position demands a strong theoretical foundation in machine learning and deep practical experience in building and scaling NLP solutions.
Key Responsibilities:
Location: Oxford, Oxfordshire, UK
Requirements:
Key Responsibilities:
- Lead the design, development, and implementation of state-of-the-art NLP models for various applications, including text classification, sentiment analysis, named entity recognition, and machine translation.
- Develop and optimize deep learning architectures (e.g., Transformers, RNNs, CNNs) for NLP tasks.
- Build robust data pipelines for training, evaluating, and deploying NLP models at scale.
- Collaborate with product managers, data scientists, and software engineers to translate business requirements into technical solutions.
- Conduct research on new NLP techniques and algorithms, staying abreast of the latest advancements in the field.
- Evaluate and benchmark model performance, identifying areas for improvement and implementing enhancements.
- Deploy NLP models into production environments, ensuring scalability, reliability, and efficiency.
- Mentor and guide junior machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
- Contribute to the strategic direction of the company's AI and NLP initiatives.
- Communicate complex technical concepts and findings effectively to both technical and non-technical stakeholders.
- Ensure ethical considerations and bias mitigation are integrated into NLP model development and deployment.
Location: Oxford, Oxfordshire, UK
Requirements:
- Ph.D. or M.Sc. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
- 5+ years of professional experience in machine learning engineering, with a strong focus on NLP.
- Expertise in Python and relevant ML/NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face Transformers, spaCy, NLTK).
- Deep understanding of classical NLP techniques and modern deep learning approaches for language understanding.
- Proven experience in deploying machine learning models into production environments.
- Strong experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent leadership, communication, and collaboration skills.
- Ability to work effectively in a hybrid work environment.
- Published research in top-tier NLP/ML conferences is a strong asset.
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8
Senior Machine Learning Engineer - NLP
NG1 1AA Nottingham, East Midlands
£70000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is a rapidly growing AI company looking for an exceptional Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative, fully remote team. You will be instrumental in designing, developing, and deploying cutting-edge NLP models and solutions that drive key business initiatives. This role demands a deep understanding of machine learning algorithms, deep learning frameworks, and state-of-the-art NLP techniques. You will work on challenging projects involving text classification, sentiment analysis, entity recognition, machine translation, question answering, and large language model fine-tuning. Responsibilities include data preprocessing, feature engineering, model training, evaluation, and deployment in production environments. You will collaborate closely with data scientists, software engineers, and product managers to translate business needs into technical solutions and ensure the effective integration of ML models. The ideal candidate will have a strong academic background in Computer Science, Artificial Intelligence, or a related quantitative field, coupled with extensive hands-on experience in building and deploying NLP systems. Proficiency in Python and ML libraries such as TensorFlow, PyTorch, and scikit-learn is essential. Experience with transformer architectures (e.g., BERT, GPT) and cloud platforms (AWS, Azure, GCP) is highly desirable. We are looking for a proactive individual with excellent problem-solving skills, a passion for innovation, and the ability to work independently in a remote setting. You should be adept at communicating complex technical concepts to both technical and non-technical audiences. This role offers a unique opportunity to work with massive datasets, contribute to groundbreaking AI research, and have a tangible impact on the products and services. You will be expected to stay current with the latest advancements in NLP and ML, and to contribute to the team's knowledge base through research and sharing. Mentoring junior engineers and contributing to the team's technical roadmap will also be key aspects of the position.
Responsibilities:
Responsibilities:
- Design, develop, and deploy advanced NLP models and algorithms.
- Perform data preprocessing, feature engineering, and model training for text data.
- Evaluate and optimize model performance using relevant metrics.
- Implement and fine-tune deep learning models for various NLP tasks.
- Collaborate with cross-functional teams to define ML requirements and solutions.
- Integrate ML models into production systems and applications.
- Stay current with the latest research and advancements in NLP and ML.
- Document models, experiments, and findings.
- Mentor junior machine learning engineers.
- Contribute to the team's technical strategy and roadmap.
- Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Proven experience in developing and deploying NLP models.
- Strong programming skills in Python.
- Expertise with ML/DL frameworks such as TensorFlow, PyTorch, Keras, and scikit-learn.
- Deep understanding of NLP techniques, algorithms, and libraries (e.g., NLTK, SpaCy, Hugging Face Transformers).
- Experience with transformer architectures (BERT, GPT, etc.) is highly desirable.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Excellent analytical and problem-solving skills.
- Strong communication and collaboration abilities.
- Ability to work effectively in a remote, fast-paced environment.
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