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 What Jobs are available for Nlp in the United Kingdom?
Showing 1428 Nlp jobs in the United Kingdom
Machine Learning Engineer - NLP
AB10 1AA Aberdeen, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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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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0
Machine Learning Engineer (NLP)
CV1 1AA Coventry, West Midlands
£65000 Annually
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Posted 2 days ago
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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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1
Machine Learning Engineer - NLP
RG1 1DE Reading, South East
£75000 Annually
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Posted 2 days ago
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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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2
Machine Learning Engineer - NLP
G1 4AB Glasgow, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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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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3
Lead Machine Learning Engineer (NLP)
MK7 7DA Milton Keynes, South East
£65000 Annually
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Posted 1 day ago
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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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4
Lead Machine Learning Engineer - NLP
OX1 1LF Oxford, South East
£75000 Annually
WhatJobs Direct
Posted 3 days ago
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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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5
Senior Machine Learning Engineer - NLP
NG1 1AA Nottingham, East Midlands
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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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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6
Lead Machine Learning Engineer - NLP
G1 1BB Glasgow, Scotland
£70000 Annually
WhatJobs Direct
Posted 2 days ago
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Job Description
Our client is seeking an experienced and innovative Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their dynamic and fully remote team. This pivotal role is designed for a candidate passionate about leveraging AI to build intelligent systems and sophisticated language understanding capabilities. You will lead the design, development, and deployment of cutting-edge NLP models and pipelines, tackling complex challenges in areas such as sentiment analysis, text generation, translation, and information extraction. Working remotely, you'll be a key contributor to our client's AI strategy, driving projects from conception through to production. The successful candidate will possess a deep understanding of state-of-the-art NLP techniques, including transformers, recurrent neural networks, and attention mechanisms. You will also be responsible for architecting scalable ML solutions, optimizing model performance, and ensuring the robustness of deployed systems. Collaboration is key in this role; you will work closely with data scientists, software engineers, and product managers to deliver impactful features and products. This position requires strong leadership qualities, including the ability to mentor junior engineers, guide technical decisions, and foster a culture of innovation within the team. Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices is highly beneficial. We are looking for a proactive individual who thrives in a collaborative, remote-first environment and is eager to make a significant impact in the field of NLP. A minimum of 7 years of experience in machine learning, with a significant focus on NLP, and a Master's or PhD in Computer Science, Computational Linguistics, or a related field is preferred. Proficiency in Python and common NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK) is essential. If you are a visionary ML leader looking for an exciting remote opportunity to shape the future of language technology, we encourage you to apply. Your work will directly influence products used by millions, all while enjoying the benefits of a fully remote work arrangement based in the Glasgow, Scotland, UK region, or remotely elsewhere in the UK.
Key Responsibilities:
Key Responsibilities:
- Lead the development and deployment of advanced NLP models and applications.
- Design and implement scalable machine learning pipelines for text data.
- Mentor and guide a team of machine learning engineers and data scientists.
- Collaborate with cross-functional teams to define product requirements and technical solutions.
- Optimize model performance, inference speed, and resource utilization.
- Contribute to the MLOps strategy and implementation.
- Stay current with NLP research and apply new techniques where appropriate.
- Master's or PhD in Computer Science, Computational Linguistics, AI, or a related field.
- 7+ years of experience in machine learning, with a strong focus on NLP.
- Proven experience leading ML projects and teams.
- Expertise in NLP techniques, including transformers, embeddings, and sequence modeling.
- Strong programming skills in Python and experience with NLP libraries.
- Familiarity with cloud platforms and MLOps tools.
- Excellent problem-solving and communication skills.
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7
Lead Machine Learning Engineer - NLP
SO14 0AB Southampton, South East
£80000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client is a cutting-edge AI research lab seeking a highly skilled Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their fully remote team. This is an exceptional opportunity to drive innovation in the field of NLP, working on challenging problems with a world-class team. You will be responsible for designing, developing, and deploying advanced NLP models and solutions that power next-generation AI applications.
Responsibilities:
Responsibilities:
- Lead the design, development, and implementation of state-of-the-art NLP models and algorithms.
- Architect and build scalable ML systems for text processing, understanding, and generation.
- Collaborate closely with research scientists and other engineers to translate research findings into production-ready solutions.
- Optimize ML models for performance, efficiency, and scalability in distributed environments.
- Manage the end-to-end machine learning lifecycle, from data acquisition and preprocessing to model training, evaluation, and deployment.
- Mentor and guide junior ML engineers, fostering best practices in model development and MLOps.
- Evaluate and integrate new NLP techniques, libraries, and tools.
- Contribute to the strategic direction of the NLP research and development roadmap.
- Publish research findings in top-tier conferences and journals, and contribute to open-source projects.
- Ensure the robustness, fairness, and ethical implications of deployed NLP models.
- Ph.D. or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
- Extensive experience in developing and deploying NLP models for tasks such as sentiment analysis, text classification, named entity recognition, machine translation, and question answering.
- Deep understanding of deep learning architectures relevant to NLP (e.g., Transformers, LSTMs, RNNs).
- Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Experience with NLP libraries like Hugging Face Transformers, NLTK, and SpaCy.
- Strong knowledge of MLOps principles and tools for model deployment and monitoring.
- Proven ability to lead technical projects and mentor team members.
- Excellent problem-solving, analytical, and communication skills.
- Experience with large-scale data processing and distributed computing (e.g., Spark).
- A strong publication record in leading NLP conferences (e.g., ACL, EMNLP, NAACL) is highly desirable.
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8
Lead Machine Learning Engineer (NLP)
BT1 1JD Belfast, Northern Ireland
£75000 Annually
WhatJobs Direct
Posted 2 days ago
Job Viewed
Job Description
Our client, a cutting-edge technology company at the forefront of AI and data science, is seeking an exceptional Lead Machine Learning Engineer specializing in Natural Language Processing (NLP) to join their fully remote global team. This is a rare opportunity to lead the development of advanced NLP solutions that power innovative products and services. You will be instrumental in designing, building, and deploying sophisticated machine learning models, driving research initiatives, and mentoring a high-performing engineering team.
Key Responsibilities:
Qualifications:
Join a pioneering team shaping the future of AI, working remotely from Belfast, Northern Ireland, UK (your anchor location). Our client offers a highly competitive compensation package, excellent benefits, and the opportunity to work on impactful, large-scale AI projects.
Key Responsibilities:
- Lead the design, development, and deployment of state-of-the-art NLP models and algorithms for various applications (e.g., sentiment analysis, text generation, information extraction, translation).
- Architect and implement robust, scalable machine learning pipelines for training, evaluation, and production deployment.
- Collaborate with product managers, data scientists, and software engineers to define and deliver on ML-driven product features.
- Conduct research into novel NLP techniques and approaches, staying at the cutting edge of the field.
- Mentor and guide junior machine learning engineers, fostering a culture of technical excellence and continuous learning.
- Evaluate model performance, identify areas for improvement, and implement optimization strategies.
- Manage data acquisition, preprocessing, and feature engineering for NLP tasks.
- Ensure the responsible and ethical development and deployment of AI systems.
- Contribute to the company's technical roadmap and strategic direction in AI and NLP.
- Present research findings and project outcomes to technical and non-technical audiences.
Qualifications:
- Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related quantitative field.
- Extensive professional experience (5+ years) in machine learning engineering, with a strong focus on NLP.
- Proven expertise in developing and deploying production-ready NLP models using frameworks like TensorFlow, PyTorch, Hugging Face, etc.
- Deep understanding of NLP concepts such as transformers, word embeddings, language models, and sequence-to-sequence models.
- Proficiency in Python and relevant ML libraries (e.g., scikit-learn, NLTK, spaCy).
- Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
- Strong software engineering skills, including experience with version control (Git) and CI/CD.
- Excellent analytical, problem-solving, and algorithmic thinking skills.
- Exceptional communication and leadership abilities, with experience managing and mentoring technical teams.
- Ability to work independently and collaboratively in a distributed, remote environment.
Join a pioneering team shaping the future of AI, working remotely from Belfast, Northern Ireland, UK (your anchor location). Our client offers a highly competitive compensation package, excellent benefits, and the opportunity to work on impactful, large-scale AI projects.
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9