435 Natural Language Processing jobs in London

• Conduct original research in NLP, focusing on areas such as large language models (LLMs), transformers, semantic understanding, and text generation.
• Design, develop, and implement novel machine learning algorithms and deep learning architectures for NLP tasks.
• Publish research findings in leading academic conferences (e.g., NeurIPS, ICML, ACL) and journals.
• Collaborate with other researchers and engineers to translate research prototypes into production-ready systems.
• Stay abreast of the latest advancements in AI, machine learning, and NLP.
• Mentor junior researchers and interns, guiding their technical development.
• Contribute to the strategic direction of the AI research roadmap.
• Evaluate and benchmark the performance of NLP models.
• Develop and maintain high-quality, well-documented code and research frameworks.
• Present research findings to internal teams and external stakeholders.

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a specialization in NLP.
• 5+ years of post-doctoral research experience or equivalent industry experience in AI/ML research.
• Demonstrated track record of significant contributions to NLP research, evidenced by publications in top venues.
• Expertise in deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Proficiency in Python and common machine learning libraries (e.g., NumPy, SciPy, scikit-learn).
• Strong understanding of transformer architectures, attention mechanisms, and LLMs.
• Experience with large-scale data processing and distributed training.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills.
• Ability to work independently and collaboratively in a remote setting.
• Experience with cloud computing platforms (AWS, GCP, Azure) is a plus.

• Delivering engaging lectures, seminars, and workshops on Computational Linguistics and related topics at undergraduate and postgraduate levels.
• Designing and updating course curricula to reflect the latest advancements in the field.
• Conducting independent research, publishing in leading academic journals and conferences, and securing research grants.
• Supervising Master's and Doctoral students' research projects and dissertations.
• Contributing to the administrative and academic governance of the department, including committee work.
• Mentoring junior faculty and research staff.
• Collaborating with interdisciplinary research groups and external partners.
• Developing and maintaining professional networks within academia and industry.
• Contributing to the development and delivery of online and blended learning materials.
• Promoting the university's research and teaching excellence through public engagement activities.
• Ensuring a positive and inclusive learning environment for all students.
• Participating in academic recruitment and admissions processes.

• PhD in Computational Linguistics, Linguistics, Computer Science, or a closely related field.
• A distinguished academic profile with a strong publication record in peer-reviewed journals and conferences.
• Proven experience (e.g., 5+ years post-doc) in teaching and lecturing at the university level.
• Expertise in at least one core area of Computational Linguistics, such as NLP, speech processing, statistical language modeling, or semantics.
• Demonstrated ability to attract research funding and manage research projects.
• Experience in supervising postgraduate research students.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work effectively in a hybrid environment, balancing remote research and preparation with in-person teaching and collaboration.
• A commitment to academic excellence and student success.
• Experience with programming languages commonly used in NLP (e.g., Python) is desirable.

• Lead the research and development of novel AI and machine learning models.
• Design, implement, and evaluate machine learning algorithms for various applications.
• Develop and manage data pipelines for model training and deployment.
• Collaborate with cross-functional teams to define project requirements and objectives.
• Mentor and guide junior data scientists and engineers.
• Stay abreast of the latest advancements in AI, machine learning, and related fields.
• Present research findings and project outcomes to technical and non-technical audiences.
• Ensure the scalability, robustness, and efficiency of developed AI solutions.
• Contribute to the intellectual property development through publications and patents.
• Drive innovation and foster a culture of scientific inquiry within the team.

• PhD or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Extensive experience in data science and machine learning, with a focus on AI research.
• Proficiency in programming languages such as Python, R, or Scala.
• Deep understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data processing and distributed computing.
• Strong theoretical knowledge of statistical modeling, algorithm design, and data mining.
• Proven ability to lead technical projects and mentor team members.
• Excellent communication, presentation, and collaboration skills for remote work.
• A strong publication record in reputable conferences and journals is a plus.
• Demonstrated ability to translate complex research into practical applications.

About Arondite

Arondite is building the next generation of autonomous systems, software and AI to solve the world's most important frontier problems across defence, critical industries and the humanitarian sector. We are looking for mission-driven engineers who want to be part of a highly motivated team and build things that make a positive difference.

The Role

Arondite is looking for talented and flexible AI engineers to work on machine learning models for a range of autonomous systems, operating in the air, on the land and under the sea.

You will be developing models using open-source tools such as OpenCV and PyTorch for inclusion within fully integrated hardware/software products. You will be building algorithms to aid in areas such as navigation, image processing, sensor data processing and sensor fusion.

As a member of a company building integrated products, you will be able to influence the design and implementation of the data collection mechanisms, leading to more efficient models and faster training. You will also work closely with end users to rapidly understand and improve real-world model performance.

As an early hire within a start-up, you will have the opportunity to set up and drive AI development within the company. You will potentially lead the function and build a broader team as we continue to expand and build more diverse products. Regardless of previous experience, you will review the output of other engineers to check their work and provide feedback - everyone’s input is valued.

Requirements

You should apply if you have:

• BSc/BEng or MSc/MEng in AI, Computer Science, Data Science, Engineering or a related technical subject
• Strong programming skills in Python, as well as C++, Java or Rust
• Practical experience in developing machine learning models for sensor data processing
• Keen interest in applying cutting-edge machine learning approaches to real-world problems
• Interest in optimising data collection to improve machine learning performance
• Good understanding of resource optimisation of AI models to run on discrete / edge platforms

Note: The above describes the perfect candidate. We encourage you to apply even if you only partially fulfil this list.

Nice to have:

• Knowledge of MLOps in enabling machine learning to be deployed and maintained in end-user products
• Image and data processing for noise reduction / filtering
• Experience in visual representation of complex sensor data

All engineers at Arondite are expected to:

• Communicate effectively within a multi-disciplinary team of hardware, software and AI engineers
• Be resourceful and open-minded in seeking solutions to engineering challenges
• Teach themselves to be the expert, if we don’t already have one in a particular area

Please note: This is an in-person position based in London. The successful candidate must by the start of their employment have permission to work in the UK.

Benefits

We offer:

• The opportunity to work with world-class engineers on a wide range of technologies
• Free training and education to quickly fill knowledge gaps
• The best resources and equipment required to do your job
• Exposure to working closely with customers on real problems
• Free meals and snacks in the office
• 7% employer pension contribution
• Employee Stock Options for everyone, so we all have a stake in the company’s growth
• Relocation support

• Conduct advanced research in machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Develop and implement novel AI algorithms and models to solve challenging real-world problems.
• Lead research projects from conception to completion, including defining research objectives, designing experiments, and interpreting results.
• Mentor and guide junior researchers and engineers, fostering a culture of innovation and scientific excellence.
• Collaborate with product teams to translate research breakthroughs into deployable AI features and products.
• Publish research findings in top-tier AI conferences and journals, and represent the company at scientific forums.
• Stay abreast of the latest advancements and trends in AI and machine learning research worldwide.
• Evaluate and benchmark new AI technologies and frameworks.
• Contribute to the strategic direction of the company's AI research roadmap.
• Develop and maintain strong collaborations with academic institutions and industry partners.
• Ensure ethical considerations are integrated into AI development processes.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related quantitative field.
• A minimum of 8 years of dedicated research experience in AI and machine learning, post-Ph.D.
• A strong publication record in leading AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR, ACL) and journals.
• Deep expertise in at least one of the following areas: deep learning, NLP, computer vision, reinforcement learning, or generative models.
• Proficiency in programming languages such as Python, and experience with deep learning frameworks like TensorFlow, PyTorch, or Keras.
• Proven ability to lead research projects and mentor junior team members.
• Excellent analytical, critical thinking, and problem-solving skills.
• Exceptional written and verbal communication skills, with the ability to clearly articulate complex research concepts.
• Experience in bringing AI research from the lab to production environments is a significant advantage.
• Demonstrated ability to work effectively in a collaborative, fast-paced research environment.