1 to 25 of 26 Natural Language Processing Jobs in West London

world. From creating experiments and prototyping implementations to designing architectures, research-focused engineering interns work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and more. Our Research addresses … related technical field in the EMEA region, and in your penultimate/final year of education. Experience in one or more research areas; natural language understanding/processing, computer vision, LLMs, machine learning, algorithmic foundations of optimization, data mining, machine intelligence (Artificial Intelligence), AI/ML algorithms ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work … business problems. Minimum qualifications: Currently enrolled in or graduated from a PhD program. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Experience in computer science and software design. Preferred qualifications: Experience working with Generative ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work … problems. Minimum qualifications: Experience with coding in data structures, algorithms and software design. Research experience in Artificial Intelligence, Distributed Systems, Machine Learning, Data Mining, Natural Language Processing, Image Classification, Spam Fighting, or related fields. Work or educational experience in Machine Learning or Artificial Intelligence. Preferred qualifications: Currently ...

structured application logic. Design and implement algorithms for evaluating relationship dynamics and generating structured recommendations to improve interpersonal communication. Develop tokenisation and data-processing frameworks that convert natural-language input into structured data for computational analysis. Apply concepts from neurolinguistics, pragmatics, semantics and traditional linguistics … Experience with Git/GitHub and collaborative development workflows. Ability to translate conceptual product ideas into functional software solutions. Understanding of algorithms, structured data processing and natural-language processing concepts. Interest or experience in AI-assisted product development and generative AI tools. Strong analytical and problem ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work … create our clients next generation of AI products. Our small, product-driven teams focus on rapid innovation to support our clients core mission. The Language Applications team manages a portfolio, including high-profile launches such as AI Studio, NotebookLM and the Gemini API for developers. Labs Science ...

over the world. From creating experiments and prototyping implementations to designing new architectures, engineers work on real-world problems including artificial intelligence, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. ...

with one or more of the following: web application development, Unix/Linux, mobile application development, distributed and parallel systems, machine learning, information retrieval, NLP, networking, developing large software systems, or security software development. Responsibilities: Research, conceive and develop software applications to extend and improve on our client's product … offering. Contribute to a wide variety of projects using natural language processing, artificial intelligence, data compression, machine learning, and search technologies. Collaborate on scalability issues involving access to data and information. Utilize exposure to large-scale production software troubleshooting. Help maintain mission critical services. Please complete your ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

science fundamentals, including data structures, algorithms and software design Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working ...

engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work ...

architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. … Computer Science, a related field, or equivalent practical experience. 2 years of experience with reinforcement learning and imitation learning. Experience with vision, vision-language, video, and other multimodal models. Experience with multimodal generative modeling, training and inference. Preferred qualifications: Experience with capture methodologies, dataset design, experimentation, and incorporation ...

transform data into actionable insights and high-impact AI solutions. Key Responsibilities: Design, develop, and deploy machine learning and AI models (e.g., predictive models, NLP, computer vision, recommender systems). Explore, cleanse, and transform large structured and unstructured datasets Conduct statistical analysis, experiment design, feature engineering, and model evaluation. Build ...

with the ability to personally contribute high-quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from … application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

with the ability to personally contribute high-quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from … application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work ...

record in sales and/or pre-sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well ...

Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability ...

parametric uncertainty quantification, Bayesian estimation) and causal inference, with experience designing both controlled experiments and observational studies. Experience applying machine learning, statistical modelling, NLP and LLM-based techniques to analyse customer behaviour and conversational data, diagnose root causes and identify the drivers of outcomes. Experience designing measurement frameworks for complex ...

that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that … data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). Benefits Package and Benefits: Competitive ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling … infrastructure as code Exposure to Generative AI and large language models Benefits What We Offer: Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory ...

across therapeutic areas and development phases — including genomics, proteomics, imaging, and flow cytometry Apply and advance the use of AI/ML, deep learning, NLP, causal ML, and explainable AI across multiple data modalities and clinical development contexts Lead application of rigorous statistical approaches to clinical trial data, including survival … convey complex concepts to diverse audiences Preferred Qualifications Experience with genomics, proteomics, imaging, flow cytometry, or immunobiology datasets from clinical trials Experience with NLP, causal ML, explainable AI, and survival analysis/time-to-event modelling Knowledge of molecular biology and understanding of disease pathways Experience with real-world data ...

seeks a senior researcher to advance machine learning and NLP methods for structural integrity assessment in fusion-relevant materials. The role combines experimental work with ML to predict material performance and extend component lifetimes. Based across University of Surrey, Guildford, and NPL in Teddington, this post involves working with DSIT ...

would like to discuss, please contact us. Company: NPL Level of experience (years): Senior (5+ years of experience) Tagged as: Academia, Machine Learning, NLP, United Kingdom #J-18808-Ljbffr ...

agentic systems from prototype to production, with a strong understanding of infrastructure, authentication, and observability Delivered on high-stakes consulting engagements across multiple language paradigms, stacks, ecosystems, and client industries Built high-quality, maintainable software collaboratively, incrementally, and through an approach tailored towards the unique needs of the clients … embracing new tooling and trends within the software industry Built or integrated AI/ML features into products and systems, including recommendation engines, NLP, computer vision, predictive analytics, RAG pipelines, and agents Successfully led modernisation and replatforming efforts to align legacy systems with short and long-term business needs ...

leading analytics software company in Hounslow is seeking a Machine Learning Engineer. This role involves working on AI, NLP, and Data Visualization projects for major corporations. Candidates should have a strong STEM degree and experience with Machine Learning algorithms, particularly in Python. Join a team that emphasizes mental health … Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Data Visualization, Industry, Machine Learning, NLP, United Kingdom #J-18808-Ljbffr ...