276 to 300 of 366 Natural Language Processing Jobs in England

in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

in either a professional data science position or a quantitative academic field Strong programming skills as evidenced by earlier work in data science or software engineering. Although your programming language of choice (e.g. R, MATLAB or C) is not important, we do require the ability to become a fluent Python programmer in a short timeframe An excellent command of … statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

extraction. Benchmark and tune state-of-the-art LLMs for performance and cost efficiency. Incorporate trends like instruction tuning, RLHF, or LoRA fine-tuning. Embed domain-specific ontologies into NLP workflows. Evaluation and Optimization: Analyze models for quality, latency, sustainability, and cost; implement improvements. Own the ML-Ops for your Pod. Develop experiments for model evaluation and continuous improvement. Best … and LLM architectures: Experience with GPT-4, Claude, Gemini, Llama, Falcon, Mistral. Model performance and optimization: Fine-tuning and optimizing LLMs for quality, latency, sustainability, and cost. Programming and NLP tools: Advanced Python, frameworks like PyTorch, TensorFlow, Hugging Face, LangChain. MLOps and deployment: Docker, Kubernetes, Azure ML Studio, MLFlow. Cloud and AI infrastructure: Experience with Azure Cloud for scalable deployment. More ❯

track record of high performance and exceeding quotas Experience building and maintaining senior-level relationships with executives Experience selling complex enterprise level solutions, technical products, private deployments (AI/NLP solutions preferred) Experience working with channel partners to drive sales cycles and hit shared revenue goals High tolerance for ambiguity - as an early sales team member, you'll have to More ❯

in ambiguous problem spaces, and mentor junior team members. Strong collaboration and communication skills, with experience aligning technical approaches with cross-functional teams and stakeholders. Bonus Points Experience with NLP, image classifiers, deep learning, or large language models. Experience with experiment design and conducting A/B tests. Experience building shared or platform-style ML systems. Experience with Databricks More ❯

people award winner, an advocate of supporting women in engineering and developing their people to be the best they can be? We have an exciting opportunity for an experienced NLP Data Scientist who can architect and code algorithms that harness the power of internal data to join an ambitious Information Management Department within a highly regarded, scientific engineering/manufacturing … Easy Access to train station, Coffee Shops & Onsite Shop, Sports & Social Club and More Skills Required: Proficiency in Data Science techniques, including statistical models and ML algorithms. Expertise in NLP, with a keen understanding of LLM and RAG technologies. Strong development capabilities, particularly in Python. Experience with data exchange, processing, and storage frameworks (ETL, ESB, API, SQL, NoSQL, and 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 ❯

tools and platforms, to support analysis or visualization Experience with PAI Experience in Python or Java, and using tools such as Spark or Databricks, to support large-scale data processing, analysis, and visualization Experience with machine learning, automation, and artifi cia l intelligence techniques applied to data analysis Experience working with the national intelligence community and DoD Joint structure … standards Experience designing or customizing tools to optimize data mining, cleaning, and analysis workflows Experience supporting intelligence analysis related to African political, security, or socio-economic issues Knowledge of NLP and machine learning methods applied to intelligence use cases Possession of excellent communication skills Possession of excellent organizational and time management skills Possession of excellent client-facing and stakeholder e … standards Experience designing or customizing tools to optimize data mining, cleaning, and analysis workflows Experience supporting intelligence analysis related to African political, security, or socio-economic issues Knowledge of NLP and machine learning methods applied to intelligence use cases Possession of excellent communication skills Possession of excellent organizational and time management skills Possession of excellent client-facing and stakeholder e More ❯

the dedicated core Machine Learning research division of Thomson Reuters. We are focused on research and development, with a particular focus on advanced algorithms and training techniques for Large Language Models (LLMs). We are building a strong foundation of research capabilities across different areas and are looking for scientists who participate in designing, coding, conducting experiments, translating findings … evaluation of trained models. As a Research Scientist, you will play a key part in a diverse global team of experts. We hire world-leading specialists in ML/NLP/GenAI, as well as Engineering, to drive the company's leading internal AI model development. You will have the opportunity to publish your research findings as well as contribute More ❯

CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although … in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software More ❯

CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate the core skills for the role, although … in building, deploying, and maintaining ML models in production (cloud-based environments preferred) Solid understanding of core machine learning concepts, algorithms, and evaluation metrics Practical knowledge of LLMs and NLP techniques; experience using frameworks like Hugging Face Transformers or OpenAI APIs Strong Python programming skills to write clean, modular code and experience with core data science libraries Familiarity with software More ❯

in Python and machine learning are critical to this role as well as exposure to the data lifecycle. The role will include: Building, integrating, testing and scaling models including NLP and Computer Vision Take ownership of developing, training and productionising machine learning lifecycles, adhering to best practices, security needs and quality assurance Development of neural networks Implementing and maintaining MLops … Proven track record of successfully completing AI projects that deliver tangible business results Experienced writing production level code Experience developing neural networks into production Experience with Docker Experience with NLP and/or computer vision Exposure to cloud technologies (eg. AWS and Azure) Exposure to Big data technologies Exposure to Apache products eg. Hive, Spark, Hadoop, NiFi Programming experience in More ❯

and drive collaborative research with academia and external partners. This role offers a unique blend of hands-on AI development and strategic technical influence across programmes in radar, sonar, NLP, computer vision, and large language models. What you'll be doing: Leading delivery of high-impact AI/ML research and development projects Providing engineering assurance across bids, publications … and technical deliverables Mentoring and developing junior scientists and engineers Identifying and guiding novel research directions in reinforcement learning, NLP, RF, autonomy, and more Working closely with customers and stakeholders across defence, security, and commercial sectors What we're looking for: PhD (or equivalent experience) in a relevant AI/ML discipline 10+ years of experience in AI/ML … technical assurance across large R&D projects Strong Python skills and familiarity with frameworks like PyTorch, TensorFlow, scikit-learn Expertise in one or more of: computer vision, reinforcement learning, NLP/LLMs, knowledge graphs, RF/EO sensor data, autonomy Please note: Due to the nature of the work, candidates must be eligible for UK Security Clearance, which typically requires More ❯

of real-time data pipelines which transport billions of data points per day, with strong traffic variations around peak hours Design and deploy state-of-the-art ML (predominantly NLP and voice recognition) models that are optimised for both accuracy and throughput Transform prototypes into production-ready data and ML applications that meet throughput and latency requirements Deploy and manage … productionising code (Kafka, Docker, Terraform, etc) Build efficient data pipelines between on-premise and cloud environments to handle text and audio data processing loads for ML models Deploy NLP models in cloud environments (AWS SageMaker) through Jenkins Design and implement MLflow and other ML Ops applications to streamline ML workflows which adhere to strict data privacy and residency guidelines … related departments Mentor and guide junior members of the team, establish and champion best practices and introduce fresh ideas and concepts Experience 10+ years of experience working on data processing and engineering for ML models, with 6+ years developing large-scale data and ML systems twhich receive billions of requests per day Expert level know-how of designing and More ❯

JAX or similar frameworks Preferred Qualifications Experience in building AI agents (based on RL, LLMs, etc.) Experience in building multi-agent simulation Background in Large Language Models/NLP and Multi-modal deep learning Exposure to projects integrating human sciences (e.g. sociology, behavioural, cognitive, neuroscience) Familiarity with spatial analysis algorithms (e.g. space syntax) Learn More About Autodesk Welcome to More ❯

various IT systems? If so, we have an exciting opportunity for you at Medpace. We are currently seeking a professional with experience with artificial intelligence (AI) tools such as NLP, LLM, IA etc. This professional will be programming and fine-tuning various AI tools and helping IT teams to implement them into new applications. This professional will work collaboratively across … Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly detection, and recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deep … Proven experience implementing and fine-tuning Large Language Models or interactive AI applications (>1 year post-graduate experience); Technical proficiency in programming languages and frameworks commonly used in NLP and AI (e.g., Python, TensorFlow, PyTorch); Preferably several years of experience working with different AI capabilities and showcasing your passion both at work and outside work in the utilization of More ❯

similar penchant for deeply-technical problem solving and the ability to lead, mentor, and deliver while upholding Amazon's leadership principles. BASIC QUALIFICATIONS - Master's degree - Knowledge of ML, NLP, Information Retrieval and Analytics - Experience directly managing scientists or machine learning engineers - Experience programming in Java, C++, Python or related language - Experience in building machine learning models for business More ❯

build the most advanced language model in the industry and revolutionize company interactions with AI. We are looking for a creative problem solver with a deep understanding of NLP and ML technologies to help us develop powerful AI applications. As an AI engineer at Writer, you will play a key role in developing and deploying cutting-edge generative AI 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 ❯

stay ahead in a rapidly evolving digital landscape. Responsibilities and Duties Develop and optimize machine learning models with a focus on computer vision (e.g., image recognition, object detection) and NLP (e.g., text classification, sentiment analysis, entity recognition). Train and fine-tune deep learning models (e.g., CNNs, RNNs, Transformers) for tasks such as reverse image search , image-text matching , and … system performance. Research and implement state-of-the-art algorithms and techniques to improve the accuracy and performance of AI solutions. Build scalable data pipelines for the ingestion and processing of image and text data for model training and evaluation. Continuously monitor the performance of models in production, identify bottlenecks, and propose optimizations. Proven experience as a Machine Learning … Engineer with at least 3 years of professional experience. Strong proficiency in machine learning frameworks such as CatBoost , TensorFlow , PyTorch , or Keras . Experience with image processing , feature extraction , and text preprocessing techniques . Solid understanding of algorithms for tasks such as object detection , image classification , text extraction , and sentiment analysis . Hands-on experience with large datasets and More ❯

bonus | SC Clearable A specialist technology consultancy is seeking a Research Scientist - Knowledge & Semantics to lead a small team of experts exploring cutting-edge AI solutions across knowledge representation, NLP, LLMs, and graph-based machine learning. The organisation plays a pivotal role in delivering advanced research for secure government and national security clients, often operating at the intersection of AI … a 4-person Knowledge & Semantics research group within a wider AI & Machine Learning capability (35+ scientists and engineers) that works across domains such as reinforcement learning, computer vision, signal processing, geospatial data, and applied machine intelligence. This is a hands-on research leadership role where you'll guide technical direction, shape R&D proposals, and deliver demonstrators and publications. … R&D environments) Advanced skills in Python and ML frameworks (TensorFlow, PyTorch) Deep experience in one or more of the following: Knowledge graphs & graph ML (e.g. PyTorch-Geometric, Neo4j) NLP and information extraction (transformer-based models desirable) Semantic reasoning, ontology development, or LLM-based applications Experience with Cypher, SQL, or similar query languages is desirable Eligible for SC clearance (UK More ❯

of a multidisciplinary team enabling first-of-its-kind generative AI models on Qualcomm AI accelerator engines, including on-device text-to-image generation with stable diffusion and large language models like 7B on device. Qualcomm Customer Engineers work in a cross-functional environment supporting system software, tool development, maintenance, and evolution for ML SDKs tailored for Qualcomm processors … deployment, and applications Preferred Qualifications: Master's or PhD in Engineering, Computer Science, Physics, or related fields 4+ years Systems Engineering or related experience 2+ years experience with CV, NLP, and LLM architectures Knowledge of large-scale software architectural patterns Experience with MLOps, automation tools, containerization (Docker, Kubernetes), and ML lifecycle management Knowledge of Rust is a plus Experience with More ❯

tackling advanced RAG or agentic use cases • You have deep understanding of concepts and algorithms underlying machine learning and LLMs • You're experienced with building and deploying LLMs or NLP applications • You have proven experience in AI or machine learning product implementation with APIs, back-end and front-end interfaces. • You have strong technical coding skills in Python • You have … transformer-based models) and a broad knowledge of the field of AI • Publication record in AI or a related field • Strong interest in pre-training fine-tuning and using language models for applications • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager Benefits We have local offices in Paris, London, Marseille and More ❯

to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on … to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced … for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning More ❯

AI/ML to drive technical excellence across projects in defence, security, and advanced data analytics. You'll guide teams working on cutting-edge areas including reinforcement learning, LLMs, NLP, knowledge graphs, remote sensing, RF signal processing, and autonomy. Key Responsibilities: Lead complex AI/ML R&D projects and provide engineering assurance Mentor and support junior researchers and … You: PhD in a relevant field with 10+ years of AI/ML experience Proven track record leading technical teams and securing research funding Strong background in areas like NLP, computer vision, graph ML, or signal processing Skilled in Python and familiar with frameworks like PyTorch or TensorFlow Experience with engineering assurance and proposal writing (e.g. Dstl, EPSRC) This More ❯