1,194 Computational Linguistics jobs in the United Kingdom

• Teach undergraduate and postgraduate modules in computational linguistics, natural language processing, and related areas.
• Develop innovative teaching materials and assessment methods.
• Supervise Master's and Doctoral students, providing academic guidance and mentorship.
• Conduct high-quality research in computational linguistics, publishing findings in leading peer-reviewed journals and conferences.
• Actively participate in departmental seminars, workshops, and academic meetings.
• Contribute to curriculum development and departmental administration.
• Seek external funding for research projects.
• Collaborate with colleagues across disciplines to foster interdisciplinary research initiatives.
• Engage in public outreach and knowledge exchange activities.
• Uphold the academic standards and reputation of the university.

• A PhD in Linguistics, Computer Science, or a closely related field with a specialization in computational linguistics.
• A strong publication record in reputable academic venues.
• Demonstrated experience in teaching at university level, with evidence of teaching excellence.
• Experience in supervising postgraduate research students.
• Proficiency in programming languages commonly used in computational linguistics (e.g., Python, Java) and relevant software tools.
• Excellent research proposal writing and grant application skills.
• Strong communication, presentation, and interpersonal skills.
• Ability to work effectively both independently and as part of a collaborative team.
• A commitment to ongoing professional development and engagement with the academic community.

• Teach and develop undergraduate and postgraduate courses in Computational Linguistics and related areas.
• Conduct independent, high-quality research and publish findings in leading venues.
• Supervise Master's and Doctoral students' research projects.
• Contribute to the development and enhancement of the curriculum.
• Attract external research funding through grant applications.
• Contribute to the administrative and collegial life of the department.
• Engage in public outreach and knowledge exchange activities.
• Collaborate with researchers across disciplines.
• Mentor junior academics and postdoctoral researchers.
• Maintain an active role in relevant academic communities.

• Ph.D. in Computational Linguistics, Linguistics, Computer Science, or a related field.
• A distinguished publication record in computational linguistics or NLP.
• Demonstrated success in securing research grants and funding.
• Significant experience (5+ years) in university-level teaching and research supervision.
• Expertise in one or more core areas of computational linguistics (e.g., NLP, ML for language, speech processing).
• Excellent communication, presentation, and interpersonal skills.
• Ability to work effectively in both remote and on-campus academic settings.
• Strong organizational and project management skills.

• Deliver engaging lectures, seminars, and practical sessions in Computational Linguistics and related areas.
• Develop and update course content, ensuring relevance and alignment with current research and industry trends.
• Conduct independent and collaborative research, leading to publications in high-impact journals and conferences.
• Supervise undergraduate and postgraduate research projects, theses, and dissertations.
• Contribute to the departmental administrative workload, including curriculum development and quality assurance.
• Seek and secure external research grants and funding opportunities.
• Mentor students, providing academic support and career guidance.
• Engage in scholarly activities, such as attending conferences and presenting research findings.
• Foster interdisciplinary collaborations within and beyond the university.
• Contribute to the university's reputation for research excellence and teaching quality.

• PhD in Computational Linguistics, Linguistics, Computer Science, or a closely related field.
• A strong track record of academic research, evidenced by publications in peer-reviewed journals and conference proceedings.
• Experience in teaching at the university level, with a demonstrable ability to engage students effectively.
• Expertise in at least one core area of computational linguistics (e.g., NLP, machine translation, corpus linguistics, formal semantics).
• Familiarity with programming languages commonly used in linguistics research (e.g., Python, R) is desirable.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work effectively within a hybrid working model.
• Potential to secure external research funding.

• Designing, building, and refining state-of-the-art NLP models for tasks such as sentiment analysis, text summarization, machine translation, and question answering.
• Leading the development of new features and enhancements for existing NLP systems, ensuring scalability and robustness.
• Architecting and implementing efficient data pipelines for training and inference of large-scale language models.
• Collaborating closely with product managers, data scientists, and software engineers to define project requirements and deliver solutions.
• Mentoring and guiding junior engineers, fostering a culture of technical excellence and knowledge sharing.
• Evaluating model performance using appropriate metrics and methodologies, and iterating based on results.
• Staying current with the latest advancements in NLP, deep learning, and associated research communities.
• Ensuring best practices in code quality, testing, and deployment for machine learning systems.

• Demonstrated expertise in NLP techniques, including transformers, RNNs, LSTMs, and attention mechanisms.
• Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
• Experience with NLP libraries like Hugging Face Transformers, spaCy, or NLTK.
• Strong understanding of MLOps principles and tools for model deployment and management.
• Proven experience in leading technical projects and managing engineering teams.
• Excellent analytical and problem-solving abilities.
• Exceptional communication skills to articulate complex technical concepts effectively in a remote setting.

Senior Machine Learning Engineer
3 Month Contract Initially with most probable extension
Location- London- Working Remotely

Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a high probability of extension.

The Role

We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment.

• Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies.
• Technical Skills : Strong proficiency in languages like Java, Scala, or Python .
• Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow .
• Experience : Previous experience working on distributed systems is a plus.

This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Senior Machine Learning Engineer
3 Month Contract Initially with most probable extension
Location- London- Working Remotely

Are you a Senior ML Engineer with a passion for building large-scale, production-ready systems? We're looking for a talented professional to join a leading global digital entertainment platform. This is a fantastic opportunity to work on a 3-month contract with a high probability of extension.

The Role

We need a Senior ML Engineer to help us design, build, and deploy robust machine learning systems that power our platform. You'll be a key part of our team, tackling complex challenges and ensuring our models are scalable and reliable in a production environment.

• Production Experience : Proven track record of developing large-scale ML systems. We're particularly interested in candidates who have experience at large, international companies.
• Technical Skills : Strong proficiency in languages like Java, Scala, or Python .
• Deep Learning Frameworks : Hands-on experience with either PyTorch or TensorFlow .
• Experience : Previous experience working on distributed systems is a plus.

This is an urgent vacancy with deadline where the hiring manager is shortlisting for an interview immediately. Please apply with a copy of your CV or send it khushboo. pandey @ randstad. Co. uk

Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Machine Learning Engineer

Salary: Up to £90k + Equity

Location: Fully Remote in UK

I am working with an exciting start-up in the UK, who are looking for a Machine Learning Engineer to join their growing team.

As a core early team member, you’ll design, optimize, and deploy models that make real-time insights possible, all while shaping the technical direction of a fast-moving startup.

What You’ll Own:

• Build and optimize ML models
• Turn research prototypes into production-ready systems.
• Collaborate across product, hardware, and data teams to tackle real-world challenges.
• Influence technical strategy and contribute to the startup’s growth and product roadmap.

What We’re Looking For:

• Strong Python and deep learning skills (PyTorch/TensorFlow).
• Experience with TinyML frameworks (TensorFlow Lite, TVM, ExecuTorch).
• Expertise in model optimization for constrained devices (quantization, pruning, compression).
• Ability to take ownership and thrive in a fast-paced, flexible startup environment.

This role does not offer sponsorship!

If you interested, please reach out to-