Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.
Nov 25, 2025
Full time
Overview Our client is at the forefront of AI innovation and is seeking a world-class Principal AI Research Scientist specializing in Natural Language Processing (NLP) to join their dynamic, fully remote team. This position offers a unique opportunity to drive groundbreaking research and development in state-of-the-art NLP models and applications, impacting a global user base. The role requires a deep theoretical understanding and practical expertise in machine learning, deep learning, and advanced NLP techniques. You will be instrumental in shaping the future of how humans interact with technology through intelligent language understanding and generation. Responsibilities Lead the research and development of novel NLP algorithms and models, pushing the boundaries of artificial intelligence. Design and implement advanced deep learning architectures for tasks such as text generation, summarization, sentiment analysis, and machine translation. Conduct cutting-edge research in areas like transformer models, large language models (LLMs), and explainable AI (XAI) for NLP. Collaborate with a global team of researchers and engineers to translate research findings into practical applications and product features. Publish research findings in top-tier AI conferences and journals. Mentor junior researchers and contribute to the scientific growth of the team. Develop and maintain high-quality, production-ready code for AI models. Stay abreast of the latest advancements in NLP, machine learning, and deep learning. Contribute to the strategic direction of the company's AI research roadmap. Evaluate and benchmark new models and techniques against industry standards. Qualifications Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. 10+ years of experience in AI research, with a strong focus on Natural Language Processing. Proven track record of impactful research, evidenced by publications, patents, or significant contributions to open-source projects. Deep expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and NLP libraries (e.g., Hugging Face Transformers). Proficiency in programming languages such as Python. Experience with large-scale data processing and distributed computing. Strong analytical and problem-solving skills. Excellent communication and presentation skills, with the ability to articulate complex technical concepts clearly. Experience leading research projects and mentoring junior scientists is highly desirable. This is a fully remote position, offering flexibility and the opportunity to work from anywhere. Company WhatJobs Level of experience: Senior (5+ years of experience). Tags: Industry, Language Modeling, Language Understanding, Machine Translation, NLP, United Kingdom.
Overview We're looking for aResearch Scientist (Machine Learning)to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. This role will off you Work at the intersection of AI and life sciences with high-impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML.
Nov 20, 2025
Full time
Overview We're looking for aResearch Scientist (Machine Learning)to join an ambitious and interdisciplinary team applying AI to transform drug discovery and accelerate the development of life-changing medicines. This is a chance to work on cutting-edge ML research with direct real-world impact, in a collaborative environment where innovation and creativity are encouraged. This role will off you Work at the intersection of AI and life sciences with high-impact applications. Hybrid working (3 days per week in the London office). A collaborative, inclusive culture with opportunities for growth and leadership. What you'll do Design and develop novel ML models and algorithms. Apply deep learning and generative modelling to complex scientific problems. Collaborate with experts across biology, chemistry, physics, and engineering. Analyse, tune, and optimise experimental results. Depending on experience: lead projects, mentor others, and shape research strategy. What you'll bring PhD (or equivalent experience) in ML, computer science, or a related field. Proven expertise in deep learning research and model development. Strong knowledge of mathematics (linear algebra, calculus, statistics). Experience with ML frameworks such as PyTorch, TensorFlow, or JAX. A passion for applying ML to real-world scientific challenges. Nice to have Experience working with biological or chemical data. Familiarity with large-scale deep learning, generative models, GNNs, RL, or computer vision. Contributions to publications, research projects, or open-source ML.
Are you passionate about pushing the boundaries of artificial intelligence? Do you thrive on solving complex challenges and developing cutting-edge solutions. We are seeking a talented Natural Language Processing (NLP) Engineer to join a AI Research Team and contribute to ground-breaking innovations in AI. What You'll Do: • Conduct cutting-edge research to tackle real-world AI challenges. • Develop high-quality code and documentation to ensure reproducible and impactful research. • Review state-of-the-art research papers and create prototype solutions that redefine what's possible. • Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community • Who You Are: • A PhD holder in ML/AI, Computer Science/Engineering, or a related field. • A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. • Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods. • First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). • Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). • Comfortable working in Linux environments and collaborating in a hybrid team setup. • Exceptional communication, teamwork, and problem-solving skills. Why Join Us? • Be part of a team that's at the forefront of AI research, developing solutions that impact millions of users worldwide. • Work in a dynamic and innovative environment where your ideas can shape the future of technology. • Enjoy a hybrid working model with 3 days onsite at our office and 2 days remote. • Collaborate with leading experts in the field and contribute to projects that push the boundaries of what AI can achieve. Company: microTECH Global LTD Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
Nov 09, 2025
Full time
Are you passionate about pushing the boundaries of artificial intelligence? Do you thrive on solving complex challenges and developing cutting-edge solutions. We are seeking a talented Natural Language Processing (NLP) Engineer to join a AI Research Team and contribute to ground-breaking innovations in AI. What You'll Do: • Conduct cutting-edge research to tackle real-world AI challenges. • Develop high-quality code and documentation to ensure reproducible and impactful research. • Review state-of-the-art research papers and create prototype solutions that redefine what's possible. • Publish your findings in top-tier AI conferences and journals, showcasing your work to the global research community • Who You Are: • A PhD holder in ML/AI, Computer Science/Engineering, or a related field. • A strong foundation in Mathematics, Machine Learning, NLP, and Deep Learning. • Hands-on experience in one or more of these areas: Generative AI, Parameter-efficient Fine-tuning, Model Compression, Foundation Models, Large Language Models (LLMs), Data/Model Privacy, or Prompting Methods. • First-author publications in prestigious ML/AI conferences/journals (e.g., ICML, NeurIPS, ICLR, EMNLP, CVPR, ECCV, IEEE TPAMI, AAAI). • Proficient in programming languages like Python, Java, or C++, and experienced with Machine Learning libraries (e.g., PyTorch, SciKit, NumPy). • Comfortable working in Linux environments and collaborating in a hybrid team setup. • Exceptional communication, teamwork, and problem-solving skills. Why Join Us? • Be part of a team that's at the forefront of AI research, developing solutions that impact millions of users worldwide. • Work in a dynamic and innovative environment where your ideas can shape the future of technology. • Enjoy a hybrid working model with 3 days onsite at our office and 2 days remote. • Collaborate with leading experts in the field and contribute to projects that push the boundaries of what AI can achieve. Company: microTECH Global LTD Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Language Modeling , Machine Learning , Natural Language Processing , NLP , United Kingdom
The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team of internationally recognised AI researchers. This is part of a strategic investment of 6 posts across the School in AI, Cyber Security and Satellite Communications, which also incorporates a Lectureship to support this position. The School is home to two established research centres with expertise in AI and Machine Learning: the Computer Science Research Centre (CSRC) and the Centre for Vision, Speech and Signal Processing (CVSSP). This post is aligned to the Nature Inspired Computer and Engineering group within Computer Science. Surrey has an established international reputation in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, machine learning, robotics and natural language processing (CSRankings.org) and were 7th in the UK for REF2021 outputs in Computer Science research. Computer Science and CVSSP are at the core of the Surrey Institute for People-Centred AI (PAI), established in 2021 as a pan-University initiative which brings together leading AI research with discipline expertise across health, social, behavioural and engineering sciences, business, law and the creative arts to shape future AI for the benefit of people and society. PAI leads a portfolio of over £100m in grant awards including major research activities in creative industries and healthcare, and two doctoral training programmes with funding for over 100 PhD researchers: the UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion and the Leverhulme Trust Doctoral Training Network in AI-Enabled Digital Accessibility. The candidate should have wide knowledge of the AI field and ideally experience of working with industry. They must have a proven record of internationally recognised research contributions and leading significant research programmes in AI and Machine Learning. Current research in AI within the School focuses on solving foundational and real-world problems in areas such as Natural Language Processing, Optimisation, Audio and Vision, AI for Health and Medical Applications, Robotics, and Security. AI features in both our UG and MSc curricula as well as training within the CDTs. The candidate would be expected to contribute to these as well as undertake other teaching duties in programmes across the School. As a senior leader, the postholder is expected to have experience of inclusive leadership and to be able to demonstrate an ability to grow and support research teams. They will be expected to champion the development of strategic partnerships and contribute at a senior level to service within the University. The position provides an opportunity to drive a strategic research direction within PAI and to align colleagues within CSRC. In conjunction with the postholder, the School will also appoint a Lecturer to support their research direction and strategy. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and particularly encourage applications from under-represented groups. Additional Information For informal enquiries, please contact Professor Steve Schneider, Our strategy and mission Surrey has launched its Vision 2041 strategy that produces graduates and research outcomes that enrich lives, transform society and create change for a better world. Company: University of Surrey Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , Natural Language Processing , NLP , United Kingdom
Nov 09, 2025
Full time
The School of Computer Science and Electronic Engineering is seeking to recruit a Professor in Machine Learning and AI with a focus on Large Machine Learning Models to expand our dynamic team of internationally recognised AI researchers. This is part of a strategic investment of 6 posts across the School in AI, Cyber Security and Satellite Communications, which also incorporates a Lectureship to support this position. The School is home to two established research centres with expertise in AI and Machine Learning: the Computer Science Research Centre (CSRC) and the Centre for Vision, Speech and Signal Processing (CVSSP). This post is aligned to the Nature Inspired Computer and Engineering group within Computer Science. Surrey has an established international reputation in AI research, 1st in the UK for computer vision and top 5 for AI, computer vision, machine learning, robotics and natural language processing (CSRankings.org) and were 7th in the UK for REF2021 outputs in Computer Science research. Computer Science and CVSSP are at the core of the Surrey Institute for People-Centred AI (PAI), established in 2021 as a pan-University initiative which brings together leading AI research with discipline expertise across health, social, behavioural and engineering sciences, business, law and the creative arts to shape future AI for the benefit of people and society. PAI leads a portfolio of over £100m in grant awards including major research activities in creative industries and healthcare, and two doctoral training programmes with funding for over 100 PhD researchers: the UKRI AI Centre for Doctoral Training in AI for Digital Media Inclusion and the Leverhulme Trust Doctoral Training Network in AI-Enabled Digital Accessibility. The candidate should have wide knowledge of the AI field and ideally experience of working with industry. They must have a proven record of internationally recognised research contributions and leading significant research programmes in AI and Machine Learning. Current research in AI within the School focuses on solving foundational and real-world problems in areas such as Natural Language Processing, Optimisation, Audio and Vision, AI for Health and Medical Applications, Robotics, and Security. AI features in both our UG and MSc curricula as well as training within the CDTs. The candidate would be expected to contribute to these as well as undertake other teaching duties in programmes across the School. As a senior leader, the postholder is expected to have experience of inclusive leadership and to be able to demonstrate an ability to grow and support research teams. They will be expected to champion the development of strategic partnerships and contribute at a senior level to service within the University. The position provides an opportunity to drive a strategic research direction within PAI and to align colleagues within CSRC. In conjunction with the postholder, the School will also appoint a Lecturer to support their research direction and strategy. The University of Surrey is committed to providing an inclusive environment that offers equal opportunities for all. We place great value on diversity and particularly encourage applications from under-represented groups. Additional Information For informal enquiries, please contact Professor Steve Schneider, Our strategy and mission Surrey has launched its Vision 2041 strategy that produces graduates and research outcomes that enrich lives, transform society and create change for a better world. Company: University of Surrey Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Academia , Machine Learning , Natural Language Processing , NLP , United Kingdom
Machine Learning Engineer (Client dedicated Fully remote) ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. As a Machine Learning Engineer you will be joining the world's largest & most comprehensive clinical research organisation, powered by healthcare intelligence. You can cover this position working fully remote from your current location in EMEA. What you will be doing: Design, build, and deploy AI and generative AI solutions on cloud platforms (AWS, Azure, GCP). Develop and optimize ML models, neural networks, and AI applications using OpenAI APIs, LangChain, LangChat, and vector databases. Write clean, maintainable code in Python, Java, or C++, and streamline deployment with Kubernetes, Docker, and CI/CD pipelines. Lead projects, mentor junior engineers, and foster innovation across teams. Apply Agile practices (JIRA) to manage multiple projects and ensure timely, high-quality delivery. Leverage domain expertise in pharma (clinical, safety, regulatory) to create compliant AI solutions. You are: Graduated in Computer Science or relevant university degrees Minimum 4 years work experience in a similar position Experienced in AI, generative AI, cloud platforms (AWS, Azure, GCP), and Snowflake. Skilled in ML algorithms, AI frameworks, and programming (Python, Java, C++). Proficient with automation, containerization, CI/CD, and DevOps practices. Strong communicator, leader, and mentor with excellent problem-solving skills. Agile-minded, adaptable, and eager to learn emerging technologies. Knowledgeable in pharma industry domains (clinical, safety, regulatory). What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please apply Company: ICON Senior (5+ years of experience) Tagged as: Academia, Machine Learning, Neural Networks, NLP, United Kingdom
Oct 31, 2025
Full time
Machine Learning Engineer (Client dedicated Fully remote) ICON plc is a world-leading healthcare intelligence and clinical research organization. We're proud to foster an inclusive environment driving innovation and excellence, and we welcome you to join us on our mission to shape the future of clinical development. As a Machine Learning Engineer you will be joining the world's largest & most comprehensive clinical research organisation, powered by healthcare intelligence. You can cover this position working fully remote from your current location in EMEA. What you will be doing: Design, build, and deploy AI and generative AI solutions on cloud platforms (AWS, Azure, GCP). Develop and optimize ML models, neural networks, and AI applications using OpenAI APIs, LangChain, LangChat, and vector databases. Write clean, maintainable code in Python, Java, or C++, and streamline deployment with Kubernetes, Docker, and CI/CD pipelines. Lead projects, mentor junior engineers, and foster innovation across teams. Apply Agile practices (JIRA) to manage multiple projects and ensure timely, high-quality delivery. Leverage domain expertise in pharma (clinical, safety, regulatory) to create compliant AI solutions. You are: Graduated in Computer Science or relevant university degrees Minimum 4 years work experience in a similar position Experienced in AI, generative AI, cloud platforms (AWS, Azure, GCP), and Snowflake. Skilled in ML algorithms, AI frameworks, and programming (Python, Java, C++). Proficient with automation, containerization, CI/CD, and DevOps practices. Strong communicator, leader, and mentor with excellent problem-solving skills. Agile-minded, adaptable, and eager to learn emerging technologies. Knowledgeable in pharma industry domains (clinical, safety, regulatory). What ICON can offer you: Our success depends on the quality of our people. That's why we've made it a priority to build a diverse culture that rewards high performance and nurtures talent. Our benefits examples include: Various annual leave entitlements A range of health insurance offerings to suit you and your family's needs. Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead. Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family's well-being. Life assurance Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others. Visit our careers site to read more about the benefits ICON offers. At ICON, inclusion & belonging are fundamental to our culture and values. We're dedicated to providing an inclusive and accessible environment for all candidates. ICON is committed to providing a workplace free of discrimination and harassment. All qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or in order to perform the essential functions of a position, please let us know or submit a request here Interested in the role, but unsure if you meet all of the requirements? We would encourage you to apply regardless - there's every chance you're exactly what we're looking for here at ICON whether it is for this or other roles. Are you a current ICON Employee? Please apply Company: ICON Senior (5+ years of experience) Tagged as: Academia, Machine Learning, Neural Networks, NLP, United Kingdom