1 to 25 of 95 Permanent Natural Language Processing Jobs in the South East

learning architectures. • Practical experience with, or demonstrable capability for, applications of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. • Solid understanding of foundational statistics and experimental design. • Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist More ❯

or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud … Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch, Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/… in conversational system architecture • Extensive knowledge on API’s & Integrations, Patterns. • Extensive knowledge of big data technologies • Knowledge on Statistical Methods • OTHER SKILLS WE'D APPRECIATE 1. Understanding of NLP engines, Artificial Intelligence, Machine Learning frameworks etc. EDUCATION QUALIFICATION • Graduate in Engineering OR master’s in computer applications. Process Skills: • General SDLC processes • Understanding of utilizing Agile and Scrum software More ❯

product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate … product strategy. In this role, you will: Lead AI strategy and execution in a high-ambiguity environment. Build, train, and deploy state-of-the-art models (e.g., deep learning, NLP, computer vision, reinforcement learning, or relevant domain-specific architectures). Design infrastructure for data ingestion, annotation, experimentation, model versioning, and monitoring. Collaborate closely with product, design, and DevOps to integrate … stealth-mode or early-stage startup, ideally taking an AI product from 0 → 1. Background in a relevant domain (e.g., healthcare AI, autonomous systems, finance, robotics, computer vision, or NLP). Hands-on experience with large-scale language models (LLMs) and prompt engineering (e.g., GPT, BERT, T5 family). Familiarity with on-device or edge-AI deployments (e.g., TensorFlow More ❯

personalized search and recommendation systems. As a Principal Scientist in MSAI, you will work in an exciting and fast-paced, collaborative environment. You'll bring deep expertise in large language models (LLMs), information retrieval, and machine learning to improve the quality and scalability of M365 Copilot.You'll partner closely with engineering and product teams to innovate, design and evaluate … Statistics, OR related areas is highly preferred. Candidates with master's degree with proven industry experience or a strong publication record in the areas of Information Retrieval, Machine Learning, Natural Language Processing, and Deep Learning are considered as well. Extensive hands-on experience building and deploying products using Machine Learning. Specifically, we are looking for expertise in … Natural Language Processing, Large Language Models, Information Retrieval, and Recommendation Systems with a good understanding of techniques like Differential Privacy, Responsible AI and related areas. High proficiency in deploying machine learning applications at scale in real production environments and proven track record of successfully shipping applied research to production is a must Excellent problem solving and More ❯

to identify business challenges and opportunities for AI solutions. Design and develop AI models and algorithms to address client needs. Provide technical expertise in AI technologies, including machine learning, natural language processing, and computer vision. Conduct data analysis and preprocessing to prepare datasets for AI model training. Proven experience in data science and analytics, with a strong More ❯

mining, predictive analytics, and intelligent decision support systems, while also incorporating complementary AI capabilities including voice technologies (IVR, voice-to-text), computer vision (image and video-based diagnostics), and natural language processing where they provide strategic value. Beyond our customer-facing products, you'll drive internal operational excellence by developing AI-powered tools that enhance efficiency across …/ML solutions in enterprise software environments, with a proven track record of launching automation solutions and AI features in complex business contexts Strong understanding of machine learning algorithms, NLP, and LLMs with demonstrated business application expertise Experience developing AI-powered automation systems, intelligent assistants/copilots, RAG systems, voice interfaces, and computer vision applications (image and video processing More ❯

Artificial Intelligence. As a Senior AI Software Engineer, you will work at the intersection of software engineering and AI, focusing on building the systems for deploying, scaling and monitoring NLP and Gen AI applications in production as well as optimizing and improving the core document AI strategies. You will have the opportunity to be immersed within our iManage product suite … of our customers, come and join the Applied AI team. iM Responsible For... Delivering robust, fully tested, maintainable software that impacts end users Designing and implementing production-ready scalable NLP applications and APIs Developing monitoring and observability solutions and integration testing frameworks Conducting code reviews and providing constructive feedback to team members Ensuring the scalability, performance, and reliability of AI … degree in Computer Science, Machine Learning, Data Science, Artificial Intelligence, Statistics or related field 3+ years of experience in ML/AI engineering, or software engineering with expertise in NLP Experience with AI/ML infrastructure, distributed training and a track record of building and deploying ML systems at scale Solid understanding of AI system design principles and experience with More ❯

and joining data using core clauses, use of CTEs, window functions, subqueries, and data cleaning functions to handle more complex analytical queries Implementation of the foundational ML algorithms, classic NLP techniques, LLM in Python applications #J-18808-Ljbffr More ❯

that clients can easily understand and act on. Nice-to-Have A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling. Experience with RNNs, NLP, Computer Vision, GenAI, CausalAI, GraphAI, and advanced techniques. Familiarity with versioning models (MLFlow), API design (FastAPI), and building custom dashboards (Dash). Why You’ll Love It Here Variety and More ❯

England, United Kingdom 11 months ago London, England, United Kingdom 2 weeks ago London, England, United Kingdom 1 week ago London, England, United Kingdom 1 week ago Data Scientist – NLP, LLMs, & Prompt Engineering Register Your Interest – (Senior) Agentic AI Research Scientist London, England, United Kingdom 2 weeks ago Senior Software Engineer - Machine Learning Lond More ❯

database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit … using frameworks such as LangChain and LangGraph, including prompt engineering, fine-tuning, and workflow orchestration. Skilled in integrating LLMs with structured data systems (e.g., SQL databases, BigQuery) to enable natural language querying and advanced analytics. Proficient in designing and implementing MLOps/LLMOps pipelines for model deployment, monitoring, version control, and CI/CD workflows. Strong understanding of More ❯

and conduct large-scale experiments to test hypotheses and drive product development Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc) Qualifications Skills and experience Significant experience (3+ years) working as a … and non-technical stakeholders Passion for learning new skills and staying up-to-date with ML algorithms Bonus points Experience with Databricks and PySpark Experience with deep learning & large language models Experience with traditional, semantic, and hybrid search frameworks (e.g. Elasticsearch) Experience working with AWS or another cloud platform (GCP/Azure) Additional Information Health + Mental Wellbeing PMI More ❯

of our Corporate and Investment Banking (CIB) business. We are looking for a senior data scientist with expertise in both classical machine learning and the latest advancements in Large Language Models (LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs … and regulatory requirements. Work closely with MLOps engineers and the wider Tech and Data teams to deploy production-ready solutions. Stay ahead of industry trends, particularly in Data Science, NLP, and GenAi advancements, and share insights across the team. Ensure data quality and governance standards are maintained across all AI and analytics projects. Support risk and audit management for AI … and ensuring compliance with regulatory frameworks. Skills and Qualifications Skills & Expertise Strong experience in machine learning, deep learning, and statistical analysis. Expertise in Python, with proficiency in ML and NLP libraries such as Scikit-learn, TensorFlow, Faiss, LangChain, Transformers and PyTorch. Experience with big data tools such as Hadoop, Spark, and Hive. Familiarity with CI/CD and MLOps frameworks More ❯

Position Available: NLP & Generative AI Data Scientist Location: Gloucestershire OR Hertfordshire Salary: £45,000 - £50,000 + Benefits Experience needed: We're looking for a Data Scientist with strong NLP and Python skills, and hands-on experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG). You'll be comfortable developing production-ready AI tools and collaborating … across engineering, IT, and business functions. About the role: We're hiring a Data Scientist specialising in NLP and Generative AI to help build and deploy cutting-edge language-based solutions across a complex engineering organisation. You'll work with internal users across diverse teams - from design and manufacturing to systems engineering - developing tools powered by large language models (LLMs), Retrieval-Augmented Generation (RAG), and modern NLP techniques. From data preparation to algorithm design and deployment, you'll own the full data science lifecycle and help shape the future of AI capability across the business. This is a hands-on, impactful role within a newly formed GenAI team, with plenty of opportunity to influence tooling, architecture, and More ❯

globally, who thrive on new challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, Natural Language Processing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Principal Data Scientist, you will work closely with the technical, engineering and research … development experience through hands on coding Detailed knowledge of modern deep learning concepts, including but not limited to Generative AI (GenAI) models, FCN, CNN, RNN, Autoencoders, Transformers, and Large Language Models (LLM) Familiarity with version control practices (Git), containers, MLOps Experience with at least one cloud platform Experience in formulating analytical problems into actionable research and applying advanced machine More ❯

Scientists, Software Engineers and Architects on a new GenAI capability. The next, you're fine-tuning prompts or experimenting with Computer Vision and Natural Language Processing (NLP). You'll stay sharp on emerging trends in AI and push us to keep evolving and delivering state-of-the-art AI capabilities. We're big on flexibility. Our More ❯

modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute More ❯

modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute More ❯

As a Machine Learning Engineer at Trainline you will... Work in cross-functional teams combining data scientists, software, data and machine learning engineers, and product managers Design and deliver NLP based machine learning systems at scale that drive measurable impact for our business Own the full end to end machine learning delivery lifecycle including data exploration, feature engineering, model selection … of rigorous learning and experimentation We'd love to hear from you if you... Have an advanced degree in Computer Science, Mathematics or a similar quantitative discipline Understanding of NLP algorithms and techniquesand/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc. More ❯

at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment. Strong skills in NLP, LLMs and deep learning. Solid background in algorithms, data structures, and object-oriented programming. Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models … in Computer Science or a related field. Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field. Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/ More ❯

at multi-modal content understanding problems. Ideally you’d have: At least 1-3 years of model training, deployment and maintenance experience in a production environment Strong skills in NLP, LLMs and deep learning Solid background in algorithms, data structures, and object-oriented programming Experience working with a cloud technology stack (eg. AWS or GCP) and developing machine learning models … in Computer Science or a related field Nice to haves: Experience in dealing with large scale AI problems, ideally in the generative-AI field Demonstrated expertise in large vision-language models for diverse real-world applications, e.g. classification, detection, question-answering, etc. Published research in areas of machine learning at major conferences (NeurIPS, ICML, EMNLP, CVPR, etc.) and/ More ❯

efforts - including state-of-the-art prompt engineering techniques - to support the construction of state-of-the-art AI models. The role involves developing, fine-tuning, and optimising large language models (LLMs) for corporate use cases, such as querying structured data or automating analytics workflows. Designing and refining prompts to improve LLM performance in structured data querying and other … business-specific applications Integrate LLMs with structured data systems (e.g., SQL databases, BigQuery, GCS) to enable natural language querying and advanced analytics. Implementing MLOps/LLMOps pipelines for deploying LLMs in production, monitoring their performance, and ensuring scalability. Evaluating LLM performance, optimising hyperparameters, and ensuring alignment with business objectives. Develop and maintain data integration processes to ensure data … database design. Artificial Intelligence and Machine Learning Understanding of machine learning algorithms (classification, regression, clustering) and their practical applications. Hands-on experience with natural language processing (NLP) techniques and developing custom solutions using large language models (LLMs) for business use cases. Proficient in Python-based AI/ML development using frameworks like TensorFlow, PyTorch, and Scikit More ❯

modern ML frameworks (PyTorch, TensorFlow). Demonstrated experience with generative AI technologies, including LLM architectures and frameworks. Knowledge/experience with digital healthcare tools design and development Experience with natural language processing and generative AI for medical text analysis, generation, and interpretation. Demonstrated ability to build relationships with stakeholders and subject matter experts. Familiarity with high compute More ❯

and conduct large-scale experiments to test hypotheses and drive product development. Keep up to date with pioneering research, contribute to Machine Learning groups, and apply new techniques for NLP, image processing, etc. Participate in team ceremonies (follow the agile cadence, technical whiteboarding sessions, product road mapping, etc.) Qualifications: Significant experience (3+ years) working as a Machine Learning Scientist … and non-technical stakeholders. Passion for learning new skills and staying up-to-date with ML algorithms. Bonus points: Experience with Databricks and PySpark. Experience with deep learning & large language models. Experience with traditional, semantic, and hybrid search frameworks (e.g., Elasticsearch). Experience working with AWS or other cloud platforms (GCP/Azure). Additional information: Health & Mental Wellbeing More ❯

Scientist to join its advanced data and decision science capability. This is a rare opportunity to work at the intersection of cutting-edge AI, machine learning, and statistical signal processing-delivering real impact across domains including national defence, space, and critical infrastructure. As part of a multi-disciplinary innovation team, you'll contribute to the design of next-generation … ll be doing: Leading AI/ML research projects from concept to prototype Developing algorithms for sequential data and decision support Collaborating across teams with specialisms in radar, sonar, NLP, CV, autonomy, LLMs, and more Mentoring junior staff and publishing/patenting innovative research Working directly with customers across defence, space, and security sectors What we're looking for: PhD … or equivalent experience) in a relevant discipline Deep knowledge of machine learning and statistical signal processing Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, and scikit-learn Experience working with time-series, sensor, or RF data Track record of delivering innovative solutions in complex technical domains Please note: Due to the nature of the work, candidates must More ❯