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 505 Nlp jobs in the United Kingdom
Machine Learning Engineer (NLP)
WV1 1AA Wolverhampton, West Midlands
£60000 Annually
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Our client is looking for a talented and experienced Machine Learning Engineer specialising in Natural Language Processing (NLP) to join their innovative AI team in Wolverhampton, West Midlands, UK . This role will focus on developing and deploying advanced NLP models and solutions to enhance our product offerings and drive business insights. You will be responsible for the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Key responsibilities include researching and implementing state-of-the-art NLP techniques, such as transformers, recurrent neural networks, and sentiment analysis, to solve complex business problems. You will collaborate closely with data scientists, software engineers, and product managers to integrate NLP capabilities into our platforms. This hybrid role offers flexibility, allowing for a blend of on-site collaboration and remote work. Experience with programming languages like Python, and ML libraries such as TensorFlow, PyTorch, Keras, and NLTK or SpaCy is essential. A strong understanding of cloud platforms like AWS, Azure, or GCP, and experience with MLOps practices are highly desirable. The ideal candidate will possess a Master's or PhD in Computer Science, Artificial Intelligence, Linguistics, or a related field, with a proven track record of delivering successful NLP projects. Excellent problem-solving skills, a passion for cutting-edge technology, and the ability to communicate complex technical concepts effectively are required. Join a forward-thinking company that is at the forefront of AI innovation and contribute to shaping the future of intelligent systems.
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Machine Learning Engineer (NLP)
RG1 1LU Reading, South East
£70000 Annually
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Our client, a leader in AI and Emerging Technologies, is looking for a talented Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative team in **Reading, Berkshire, UK**. This role offers a hybrid working model, combining the benefits of collaborative office-based work with the flexibility of remote work.
You will be responsible for designing, developing, and deploying state-of-the-art NLP models and algorithms to solve complex business problems. Key responsibilities include gathering and preprocessing large text datasets, feature engineering, training and evaluating machine learning models, and fine-tuning pre-trained language models. You will collaborate closely with data scientists, software engineers, and product managers to integrate NLP solutions into various applications and services. Experience with cloud platforms (AWS, Azure, GCP), MLOps practices, and containerization technologies (Docker, Kubernetes) is highly desirable. The ideal candidate will possess a strong mathematical background, deep understanding of NLP techniques (e.g., sentiment analysis, topic modeling, machine translation, text generation), and proficiency in programming languages like Python.
Qualifications:
You will be responsible for designing, developing, and deploying state-of-the-art NLP models and algorithms to solve complex business problems. Key responsibilities include gathering and preprocessing large text datasets, feature engineering, training and evaluating machine learning models, and fine-tuning pre-trained language models. You will collaborate closely with data scientists, software engineers, and product managers to integrate NLP solutions into various applications and services. Experience with cloud platforms (AWS, Azure, GCP), MLOps practices, and containerization technologies (Docker, Kubernetes) is highly desirable. The ideal candidate will possess a strong mathematical background, deep understanding of NLP techniques (e.g., sentiment analysis, topic modeling, machine translation, text generation), and proficiency in programming languages like Python.
Qualifications:
- Master's or PhD in Computer Science, Artificial Intelligence, Data Science, or a related quantitative field.
- Proven experience as a Machine Learning Engineer with a focus on NLP.
- Strong understanding of NLP concepts, algorithms, and techniques.
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, NLTK, spaCy).
- Experience with large language models (LLMs) and transformer architectures.
- Familiarity with data processing and database technologies.
- Experience with cloud ML platforms and MLOps principles.
- Excellent analytical, problem-solving, and debugging skills.
- Strong communication and collaboration skills.
- Ability to thrive in a hybrid work environment.
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Machine Learning Engineer - NLP
OX1 1LZ Oxford, South East
£60000 Annually
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Our client, a pioneering AI research and development company based in **Oxford, Oxfordshire, UK**, is looking for a talented and driven Machine Learning Engineer specializing in Natural Language Processing (NLP). This role is ideal for an individual passionate about advancing the frontiers of AI and contributing to cutting-edge projects. You will be responsible for developing, training, and deploying state-of-the-art NLP models, collaborating with a team of world-class researchers and engineers, and contributing to the entire machine learning lifecycle. Key responsibilities include designing and implementing NLP algorithms, conducting research into new NLP techniques, preprocessing and analyzing large text datasets, evaluating model performance, and integrating models into production systems. The ideal candidate will have a strong academic background, with a Master's or PhD in Computer Science, Artificial Intelligence, or a related field, and a proven track record in NLP research and development. Expertise in programming languages like Python and libraries such as TensorFlow, PyTorch, spaCy, or NLTK is essential. You must have excellent analytical and problem-solving skills, with the ability to work independently and as part of a collaborative team. This position requires a deep understanding of transformer models, text generation, sentiment analysis, and other NLP tasks. The role involves hands-on development and requires a commitment to staying at the forefront of AI innovation. You will have the opportunity to work on challenging problems and make significant contributions to the field of artificial intelligence.
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Senior Machine Learning Engineer (NLP)
BD1 1AA Bradford, Yorkshire and the Humber
£75000 Annually
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Our client is seeking a highly skilled Senior Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative AI team. This position is fully remote, allowing you to contribute to cutting-edge projects from your home office. You will play a pivotal role in developing and deploying advanced NLP models and solutions that power our client's next-generation products and services. Your responsibilities will include designing, building, and optimizing NLP pipelines, implementing state-of-the-art algorithms for tasks such as text classification, sentiment analysis, named entity recognition, and question answering, and fine-tuning large language models (LLMs) for specific applications. You will also be involved in data preprocessing, feature engineering, model evaluation, and deploying models into production environments. Collaboration with data scientists, software engineers, and product managers is crucial to translate business requirements into effective machine learning solutions. The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with extensive hands-on experience in NLP and machine learning. Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn is required. Strong experience with NLP libraries like spaCy, NLTK, Hugging Face Transformers, and understanding of deep learning architectures (e.g., Transformers, RNNs, LSTMs) are essential. Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus. If you are passionate about pushing the boundaries of AI and building intelligent systems, this remote role offers an exciting opportunity to make a significant impact.
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Principal Machine Learning Engineer (NLP)
M1 1PL Manchester, North West
£75000 Annually
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Our client is at the forefront of AI innovation, developing cutting-edge solutions that are shaping the future of technology. We are looking for a Principal Machine Learning Engineer specializing in Natural Language Processing (NLP) to join our globally distributed, remote-first engineering team. In this senior role, you will lead the design, development, and deployment of advanced NLP models and systems that power our next-generation products and services. You will tackle complex challenges in areas such as sentiment analysis, named entity recognition, machine translation, question answering, and text generation. The ideal candidate will possess a deep understanding of deep learning frameworks (TensorFlow, PyTorch), transformer architectures (BERT, GPT), and various NLP techniques. You will be responsible for mentoring other engineers, driving research initiatives, and collaborating with cross-functional teams to translate business requirements into robust, scalable AI solutions.
Key Responsibilities Include:
This is an exceptional opportunity to make a significant impact in the rapidly evolving field of Artificial Intelligence and Emerging Technologies. You will have the autonomy to drive projects forward and the support of a collaborative and brilliant remote team. We offer a competitive compensation package, extensive professional development opportunities, and the chance to work with state-of-the-art tools and technologies. If you are a visionary ML engineer with a passion for NLP and a desire to work in a fully remote, innovative environment, we want to hear from you. The successful candidate will hold a Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field, with at least 7 years of experience in machine learning, specifically focused on NLP.
Key Responsibilities Include:
- Leading the end-to-end development lifecycle of NLP models, from data preprocessing and feature engineering to model training, evaluation, and deployment.
- Designing and implementing novel NLP architectures and algorithms to solve challenging real-world problems.
- Conducting rigorous experimentation, hyperparameter tuning, and performance optimization.
- Collaborating with product managers and software engineers to integrate ML models into production systems.
- Staying current with the latest research in NLP and machine learning, and identifying opportunities for innovation.
- Mentoring junior ML engineers and contributing to the team's technical growth.
- Ensuring the scalability, reliability, and maintainability of deployed ML systems.
- Presenting findings and progress to technical and non-technical stakeholders.
This is an exceptional opportunity to make a significant impact in the rapidly evolving field of Artificial Intelligence and Emerging Technologies. You will have the autonomy to drive projects forward and the support of a collaborative and brilliant remote team. We offer a competitive compensation package, extensive professional development opportunities, and the chance to work with state-of-the-art tools and technologies. If you are a visionary ML engineer with a passion for NLP and a desire to work in a fully remote, innovative environment, we want to hear from you. The successful candidate will hold a Master's or PhD in Computer Science, Artificial Intelligence, or a related quantitative field, with at least 7 years of experience in machine learning, specifically focused on NLP.
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Lead Machine Learning Engineer - NLP
CB2 1TN Cambridge, Eastern
£70000 Annually
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Our client is looking for an accomplished Lead Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join their dynamic team in Cambridge, Cambridgeshire, UK . This fully remote position offers the opportunity to lead the development of advanced NLP solutions that will shape the future of our client's offerings. You will be responsible for designing, building, and deploying scalable machine learning models for tasks such as sentiment analysis, text generation, and question answering. The ideal candidate will possess a Master's or PhD in Computer Science, AI, Computational Linguistics, or a related discipline, with a minimum of 7 years of relevant industry experience. Proficiency in Python and extensive experience with NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers) and deep learning frameworks (TensorFlow, PyTorch) are crucial. You should have a proven track record of leading projects from inception to production, including model optimization, MLOps, and deployment strategies. This is a remote-first role, requiring strong self-management skills and the ability to collaborate effectively with distributed teams. Your responsibilities will include architecting ML systems, defining best practices for NLP development, mentoring engineers, and collaborating with product managers to define roadmaps. We are seeking individuals with exceptional analytical capabilities, a deep understanding of language modeling techniques, and a passion for innovation. Experience with cloud platforms (AWS, Azure, GCP) and large-scale data processing frameworks (e.g., Spark) is highly desirable. You will play a key role in driving the adoption of state-of-the-art NLP technologies within the organization.
Responsibilities:
Responsibilities:
- Lead the design and implementation of NLP models.
- Develop and deploy production-ready ML pipelines.
- Mentor and guide a team of ML engineers.
- Collaborate with stakeholders to define project requirements.
- Ensure the scalability and efficiency of NLP solutions.
- Stay abreast of advancements in NLP research and techniques.
- Master's or PhD in a relevant field.
- 7+ years of industry experience in Machine Learning/NLP.
- Expertise in Python, NLP libraries, and deep learning frameworks.
- Proven experience in leading ML projects.
- Strong communication and leadership skills.
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Lead Machine Learning Engineer - NLP
EH1 1AA Edinburgh, Scotland
£75000 Annually
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We are actively recruiting a Lead Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join our innovative team. This is a 100% remote position, offering unparalleled flexibility to work from anywhere in the UK. The ideal candidate will possess extensive experience in developing and deploying sophisticated NLP models and pipelines. You will lead the design, implementation, and optimisation of cutting-edge AI solutions for text understanding, generation, and analysis. This role requires strong technical leadership, a deep understanding of NLP techniques, and the ability to mentor and guide junior engineers. You will be at the forefront of developing next-generation AI capabilities, driving significant advancements in how we interact with and process language data.
Key responsibilities:
Required qualifications:
This is a unique opportunity to shape the future of AI-driven language understanding within a progressive, remote-first environment, based out of Edinburgh, Scotland, UK .
Key responsibilities:
- Lead the end-to-end development and deployment of NLP models, including text classification, sentiment analysis, named entity recognition, and machine translation.
- Design and implement scalable ML pipelines for training, evaluating, and deploying NLP models.
- Research and apply state-of-the-art NLP techniques and algorithms (e.g., Transformers, BERT, GPT).
- Collaborate with data scientists and software engineers to integrate NLP solutions into larger applications.
- Mentor and provide technical guidance to a team of machine learning engineers.
- Optimise model performance, accuracy, and efficiency for production environments.
- Stay abreast of the latest research and advancements in NLP and conversational AI.
- Contribute to the company's AI strategy and roadmap.
- Develop and maintain comprehensive documentation for NLP models and systems.
- Champion best practices in MLOps for NLP workflows.
Required qualifications:
- Master's or Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related quantitative field.
- Minimum of 8 years of experience in machine learning, with at least 5 years focused specifically on NLP.
- Proven experience leading ML projects and mentoring engineers.
- Expertise in Python and common ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK, scikit-learn).
- Deep understanding of various NLP tasks and architectures.
- Experience with deep learning frameworks like TensorFlow or PyTorch.
- Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong problem-solving abilities and a passion for innovation.
- Excellent communication and collaboration skills.
This is a unique opportunity to shape the future of AI-driven language understanding within a progressive, remote-first environment, based out of Edinburgh, Scotland, UK .
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Senior Machine Learning Engineer - NLP
DE1 1AA Derby, East Midlands
£70000 Annually
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Our client is revolutionizing the field of AI and Emerging Technologies, and we are looking for a highly motivated Senior Machine Learning Engineer with expertise in Natural Language Processing (NLP) to join our cutting-edge, fully remote team. In this role, you will be instrumental in designing, developing, and deploying advanced NLP models that power innovative solutions across various industries. You will work with massive datasets, state-of-the-art algorithms, and distributed computing frameworks to tackle complex challenges in areas such as text generation, sentiment analysis, and machine translation. The ideal candidate will have a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field, along with a minimum of 5 years of hands-on experience in machine learning and deep learning, with a strong focus on NLP. Proficiency in Python and popular ML frameworks like TensorFlow, PyTorch, or Keras is mandatory. Experience with cloud platforms (AWS, Azure, GCP) and big data technologies (Spark, Hadoop) is highly advantageous. You will be responsible for the end-to-end lifecycle of ML models, from data preprocessing and feature engineering to model training, evaluation, and deployment in production environments. This remote-first position offers unparalleled flexibility and the opportunity to collaborate with a talented, globally distributed team of researchers and engineers. We encourage a culture of continuous learning and innovation, providing ample opportunities for professional growth and development. If you are passionate about pushing the boundaries of NLP and contributing to groundbreaking AI advancements from the comfort of your own home, we encourage you to apply.
Responsibilities:
Responsibilities:
- Design, develop, and deploy advanced NLP models
- Work with large-scale text datasets
- Implement and fine-tune deep learning architectures for NLP tasks
- Collaborate with cross-functional teams to define ML problems
- Conduct research and experimentation on new ML algorithms
- Optimize model performance and scalability
- Contribute to the MLOps pipeline for model deployment and monitoring
- Stay abreast of the latest advancements in NLP and ML
- Write clean, maintainable, and well-documented code
- Present findings and technical solutions to stakeholders
- Master's or Ph.D. in Computer Science, AI, or related field
- 5+ years of experience in Machine Learning, specializing in NLP
- Expertise in Python and ML libraries (TensorFlow, PyTorch, Keras)
- Strong understanding of NLP techniques (e.g., Transformers, RNNs, LSTMs)
- Experience with cloud platforms (AWS, Azure, GCP)
- Familiarity with big data technologies (Spark, Hadoop)
- Excellent analytical and problem-solving skills
- Strong communication and collaboration abilities
- Proven ability to work independently in a remote setting
- Experience with model deployment and MLOps
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Senior Machine Learning Engineer (NLP)
NE1 4AG Newcastle upon Tyne, North East
£80000 Annually
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Our client, an innovative AI company specializing in cutting-edge Natural Language Processing (NLP) solutions, is looking for a Senior Machine Learning Engineer with a strong focus on NLP. This is a fully remote position, offering the flexibility to work from anywhere. You will be responsible for designing, developing, and deploying state-of-the-art NLP models and applications that drive significant business value. Your role will involve: building and optimizing machine learning pipelines for NLP tasks such as text classification, sentiment analysis, named entity recognition, and question answering; implementing and evaluating various NLP architectures, including transformers, LSTMs, and CNNs; contributing to the development of new NLP techniques and algorithms; collaborating with data scientists and software engineers to integrate ML models into production systems; monitoring and maintaining deployed models; and staying current with the latest research and trends in NLP and machine learning. The ideal candidate will possess a Master's or Ph.D. in Computer Science, Artificial Intelligence, or a related field, with at least 5 years of professional experience in machine learning engineering, specifically in NLP. Proven experience with Python and ML libraries such as TensorFlow, PyTorch, scikit-learn, and NLTK/spaCy is essential. A strong understanding of NLP concepts, algorithms, and best practices is required. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) is a plus. Excellent problem-solving, analytical, and communication skills are necessary. You should be a proactive team player with a passion for building impactful AI solutions. This remote role requires a self-starter who can manage their workload effectively and contribute to a collaborative, distributed team. If you are a talented ML Engineer eager to leverage your NLP expertise to solve complex challenges, we invite you to apply. This role is based in **Newcastle upon Tyne, Tyne and Wear, UK**, but is fully remote.
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Lead Machine Learning Engineer - NLP
PL1 2AA Plymouth, South West
£70000 Annually
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Our client is looking for a talented and experienced Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their innovative technology division in **Plymouth, Devon, UK**. This role will focus on developing and deploying advanced NLP models and algorithms that enhance our client's products and services. You will lead a team of machine learning engineers, guiding them through the entire ML lifecycle, from data preprocessing and feature engineering to model training, evaluation, and deployment. Key responsibilities include architecting and implementing scalable ML pipelines, conducting research into state-of-the-art NLP techniques (e.g., transformers, sentiment analysis, text generation), and collaborating with data scientists and software developers to integrate ML models into production systems. You will also be responsible for monitoring model performance, iterating on designs, and contributing to the strategic direction of AI initiatives. The ideal candidate will possess a Master's or PhD in Computer Science, AI, or a related quantitative field, with a proven track record in NLP and machine learning engineering. Strong programming skills in Python and familiarity with ML frameworks such as TensorFlow, PyTorch, and scikit-learn are essential. Experience with NLP libraries like NLTK, spaCy, or Hugging Face Transformers is highly desirable. Excellent analytical, problem-solving, and communication skills are required to excel in this team-oriented environment. This on-site role offers a fantastic opportunity to work with cutting-edge technology in a supportive setting.
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