571 Natural Language Processing Specialist jobs in the United Kingdom

• Conduct advanced research in artificial intelligence, machine learning, and related fields.
• Develop, implement, and evaluate novel AI algorithms and models.
• Analyze large datasets to extract insights and inform model development.
• Design and execute experiments to test hypotheses and validate research findings.
• Collaborate with engineering teams to integrate AI models into production systems.
• Stay abreast of the latest advancements and research trends in the AI community.
• Publish research findings in top-tier academic conferences and journals.
• Present research results to both technical and non-technical audiences.
• Contribute to the intellectual property portfolio through invention and patent applications.
• Mentor junior researchers and interns, fostering a culture of learning and innovation.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Proven track record of research in AI/ML, demonstrated through publications, patents, or significant project contributions.
• Strong theoretical and practical understanding of machine learning algorithms, deep learning frameworks (e.g., TensorFlow, PyTorch), and statistical modeling.
• Proficiency in programming languages such as Python, R, or C++.
• Experience with data manipulation and analysis tools.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to articulate complex concepts clearly.
• Ability to work independently and collaboratively within a research team.
• Experience with distributed computing frameworks is a plus.

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 cutting-edge research in machine learning and artificial intelligence.
• Develop, implement, and validate novel AI algorithms and ML models.
• Design and execute experiments to test hypotheses and evaluate model performance.
• Analyze large datasets to extract insights and inform model development.
• Collaborate with software engineers to deploy ML models into production environments.
• Stay current with academic research and industry trends in AI/ML.
• Publish research findings in reputable conferences and journals.
• Contribute to the development of intellectual property, including patents.
• Mentor junior researchers and engineers on AI/ML best practices.
• Present research outcomes and technical strategies to stakeholders.

• Ph.D. or Master's degree in Computer Science, AI, Machine Learning, or a related quantitative field.
• Proven track record of research and development in machine learning or deep learning.
• Expertise in at least one of the following areas: NLP, Computer Vision, Reinforcement Learning, Statistical ML.
• Proficiency in programming languages such as Python, and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with large-scale data processing and cloud computing platforms (e.g., AWS, Azure, GCP).
• Strong analytical and problem-solving skills.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts.
• Ability to work independently and collaboratively in a fast-paced research environment.
• Experience contributing to open-source projects or academic publications is a plus.
• Demonstrated ability to translate research into practical applications.

• Lead independent research projects in cutting-edge areas of AI and Machine Learning, including deep learning, reinforcement learning, natural language processing, and computer vision.
• Develop and implement novel algorithms and models to solve complex problems and push the boundaries of current AI capabilities.
• Design and conduct rigorous experiments, analyze results, and disseminate findings through publications in top-tier conferences and journals.
• Collaborate closely with engineering teams to translate research prototypes into production-ready systems.
• Mentor and guide junior researchers and engineers, fostering a collaborative and intellectually stimulating research environment.
• Stay abreast of the latest academic research and industry trends in AI/ML.
• Contribute to the strategic direction of the company's AI research roadmap.
• Develop and maintain high-quality code for research experiments and prototypes.
• Present research findings to technical and non-technical audiences, including senior leadership.
• Secure intellectual property through patents and other mechanisms.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a closely related quantitative field.
• Minimum of 10 years of post-doctoral research experience in AI/ML, with a strong publication record.
• Deep expertise in one or more areas of ML, such as deep learning, reinforcement learning, NLP, or computer vision.
• Proficiency in programming languages commonly used in ML research, such as Python, and experience with ML frameworks like TensorFlow or PyTorch.
• Proven ability to lead complex research projects from conception to completion.
• Exceptional analytical, critical thinking, and problem-solving skills.
• Strong communication and presentation skills, with the ability to articulate complex ideas clearly.
• Demonstrated experience mentoring junior researchers.
• Ability to work independently and collaboratively in a remote, global team setting.
• Experience with large-scale data processing and distributed computing is a plus.

• Conduct advanced research in machine learning, deep learning, and artificial intelligence to develop novel algorithms and models.
• Design, implement, and evaluate AI systems for various applications, focusing on areas such as natural language processing, computer vision, or reinforcement learning.
• Develop and deploy machine learning pipelines, ensuring scalability, efficiency, and robustness.
• Collaborate with a global team of researchers and engineers in a virtual environment, sharing insights and expertise.
• Stay abreast of the latest research papers, academic conferences, and technological advancements in the AI field.
• Translate complex research findings into practical, deployable solutions.
• Contribute to the technical roadmap and strategic direction of the AI research division.
• Mentor junior engineers and researchers, fostering a collaborative and innovative team culture.
• Publish research findings in leading scientific journals and present at international conferences.
• Ensure ethical considerations and responsible AI development practices are integrated into all projects.
• Optimise model performance and computational efficiency.

• PhD or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5 years of experience in AI research and development, with a strong focus on machine learning.
• Demonstrated expertise in one or more subfields of AI (e.g., NLP, CV, RL, GANs).
• Proficiency in programming languages commonly used in AI, such as Python, and libraries like TensorFlow, PyTorch, and Scikit-learn.
• Experience with cloud platforms (AWS, GCP, Azure) for AI model training and deployment.
• Strong understanding of statistical modelling, data mining, and algorithm design.
• Proven ability to conduct independent research and publish findings.
• Excellent problem-solving, analytical, and critical thinking skills.
• Exceptional communication and collaboration skills, with experience working effectively in remote, distributed teams.
• A passion for innovation and a desire to contribute to the advancement of AI technology.

• Conduct cutting-edge research in Machine Learning and Artificial Intelligence.
• Design, develop, and implement advanced ML models and algorithms.
• Explore novel AI techniques and evaluate their potential applications.
• Analyze large datasets to extract insights and inform model development.
• Optimize model performance and ensure scalability for real-world deployment.
• Collaborate with cross-functional teams to integrate AI solutions into products and services.
• Stay abreast of the latest advancements in AI research and industry trends.
• Publish research findings in leading academic conferences and journals.
• Mentor junior researchers and contribute to team knowledge sharing.
• Contribute to the development of intellectual property and patents.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Minimum of 5-7 years of research experience in Machine Learning.
• Strong publication record in top-tier AI conferences (e.g., NeurIPS, ICML, ICLR, CVPR) or journals.
• Deep understanding of ML theory, algorithms, and statistical modeling.
• Proficiency in programming languages such as Python and ML frameworks (e.g., TensorFlow, PyTorch).
• Experience with large-scale data analysis and model deployment.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, with the ability to work effectively in a remote team.
• Experience with deep learning, NLP, computer vision, or reinforcement learning is highly desirable.

• Conduct original research in areas such as machine learning, deep learning, natural language processing, computer vision, or reinforcement learning.
• Design, develop, and implement state-of-the-art AI models and algorithms.
• Publish research findings in top-tier academic conferences and journals.
• Collaborate with engineering teams to prototype and deploy AI solutions.
• Mentor junior researchers and guide research projects.
• Stay abreast of the latest advancements and breakthroughs in AI and related fields.
• Contribute to the strategic direction of the company's AI research roadmap.
• Present research findings to internal stakeholders and external audiences.
• Contribute to patent applications for novel AI technologies.

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• Extensive experience in AI research, with a portfolio of publications in leading venues.
• Deep understanding of machine learning principles, algorithms, and mathematical foundations.
• Proficiency in programming languages such as Python, and familiarity with AI/ML libraries (TensorFlow, PyTorch, Scikit-learn).
• Experience with large-scale data processing and distributed computing.
• Strong analytical, problem-solving, and critical thinking skills.
• Excellent communication and presentation skills, adept at explaining complex concepts to diverse audiences.
• Ability to work independently and as part of a distributed, collaborative team.
• Proven ability to lead research initiatives and mentor others.