1 to 25 of 117 Natural Language Processing Jobs in England

your role. Being fully competent in the core technologies used by the team as well as a range of more peripheral technologies (such as NLP, reinforcement learning and computer vision). Having a good grounding in the principles and technologies of ML engineering. Setting yourself apart through the breadth of more »

businesses use artificial intelligence (AI) by understanding their needs, designing AI solutions, and implementing those solutions. BJSS AI specialists have expertise in machine learning, natural language processing, and other AI technologies. The successful candidate will provide: Expertise in machine learning, natural language processing, and other AI technologies : possess in-depth knowledge and hands-on experience in machine learning, natural language processing (NLP), and other relevant AI technologies. Be familiar with various algorithms, frameworks, and tools used in these areas, including cloud-based AI services. This expertise enables more »

language processing algorithms to structure the free text elements of the EHR (clinical notes, letters, reports etc). Development of these NLP models is the primary focus of our in-house AI team, in which this role sits. The AI Team are primarily responsible for developing and … Processing models that underpin Akrivia’s data structuring pipeline. The goal of this activity is to develop accurate, clinically valid, explainable, and scalable NLP models to extract new structured data from EHR free-text fields. The AI Team collaborate closely with the Research Team (to match the outputs of … our AI-derived data for their own research programs. The role would suit candidates with a strong interest in healthcare applications of AI and NLP, and/or explainable, transparent AI methods. Further details of the duties are provided below. Duties Lead and manage a team of AI scientists and more »

Continuous Integration and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Developing machine learning models (PyTorch or TensorFlow) Working with Large Language Models (e.g GPT, PaLM, Llama) Strong background in either Python/Typescript Familiarity with Retrieval Based Augmentation concepts Experience with Vector Databases Experience using … and leveraging search interfaces Experience with modern application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.). Familiarity with natural language processing or AI technologies (e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering) Experience with machine learning, data pipelines and … in new database technologies such as vector databases advantageous Strong background in either Python/Typescript Knowledge of natural language processing (NLP) and computer vision techniques for advanced automation and generative AI applications.(e.g SpaCy, NLTK, or Hugging Face). Experience supporting digital platforms, including Integrations, Release more »

Azure might be considered if the rest of the experience aligns fully to the role requirements Experience with Natural Language Processing (NLP) and MLOps is a must Experience in healthcare, or health tech sector is ideal but not necessary If you are looking to work for a more »

machine learning models in production. - Familiarity with cloud platforms, particularly AWS. - Knowledge of data visualization tools. - Exposure to natural language processing (NLP) or computer vision. more »

related field, or equivalent work experience Preferred Qualifications Experience with financial data analysis and investment strategies Knowledge of natural language processing (NLP) techniques Previous work in a startup environment or fintech industry Join us in shaping the future of retail investing through cutting-edge AI technology. Apply more »

use cases across Group Job Description The AI Engineer position will be responsible to shape, create and integrate AI solutions with particular focus on Natural Language Processing, Large Language Models and Multi-Modal Generative AI. The candidate will be working alongside other members of the CoE … data capabilities. Qualifications Strong understanding and hands-on experience in various ML techniques and algorithms, including RAG, fine-tuning models and working with large language models. Mastery in Langchain and Python programming languages, essential for AI development and data manipulation tasks. Proficiency in handling and processing large datasets more »

related discipline; advanced degree preferred. Demonstrated success in designing and delivering AI solutions within the insurance domain , with hands-on experience across predictive modeling, natural language processing, computer vision, and reinforcement learning. Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud more »

and Continuous Delivery (CI/CD), Test-Driven Development (TDD), SDLC, etc. Basic development of machine learning models ( PyTorch or TensorFlow ) Working with Large Language Models ( e.g GPT, PaLM, Llama ) Strong background in either Python/Typescript Familiarity with Retrieval Based Augmentation concepts Experience with Vector Databases Experience using … and leveraging search interfaces Experience with modern application architecture methodologies (Service Orientated Architecture, API-Centric Design, Twelve-Factor App, FAIR, etc.). Familiarity with natural language processing or AI technologies ( e.g LLMs such as ChatGPT or BARD, Embeddings, Prompt Engineering ) Experience with machine learning, data pipelines and … preferably processing of document s (e.g using Google Cloud Fusion/Azure Data Factory ) Experience in new database technologies such as vector databases advantageous Strong background in either Python/Typescript Experience supporting digital platforms, including Integrations, Release Management, Regression Testing, Integrations, Data Obfuscation, etc. Experience scaling an “API more »

Engineering, Mathematics, or a related discipline Demonstrated success in designing and delivering AI solutions within the insurance domain , Hands-on experience across predictive modelling, natural language processing, computer vision, and reinforcement learning. Proficiency in ML frameworks (e.g., TensorFlow, PyTorch), programming languages (e.g., Python, Java), and cloud platforms more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow and PyTorch. • Knowledge of Natural Language Processing and Computer Vision applications. • Strong understanding of basic probability concepts. • In-depth knowledge of the machine learning lifecycle and collaboration more »

Opportunity to mentor and upskill junior members of the team Looking at more advanced GenAI techniques and their applications within the marketing consultancy space (NLP, Computer Vision, LLMs) REQUIREMENTS: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL more »

models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle challenges related to user recommendation/matching, suspicious usage patterns, content discovery, tag mapping and data categorisation. Software Engineer Machine Learning - Remote more »

and maintaining the performance of deployed models, ensuring data privacy and security compliance. Key competencies needed: in data science and Machine Learning Learning specifics: NLP, LLMs, TensorFlow, PyTorch with data wrangling and preprocessing with DevOps/MLOps experience for model deployment with either AWS or GCP For more information on more »

maintaining quality software features Skills: BSc/MSc in Computer Science/Machine learning or related fields Developer experience of AI/ML/NLP and LLM’s Core Java knowledge and hands on experience. Previously in a start-up, Scale-up. Or Saas environment If this sounds interesting to more »

we'd love to see: A minimum of 4 years' industry experience Proficiency in developing machine learning models with Python or TensorFlow, particularly in NLP and AI technologies LLMs Experience with building robust pipelines Strong background in DevOps practices, including CI/CD, TDD, and SDLC What's in it more »

The ideal skills and experience are Experience using infrastructure-as-code tools to build and run cloud infrastructure (e.g. Terraform, CloudFormation). Experience with NLP and machine learning Proven professional experience in software development and database design. Extensive experience developing restful or graph API’s. Analytical and problem-solving skills. more »

Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), Machine Learning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform are in … messages whilst also adhering to brand compliance, and need to bring on-board a new Senior Data Scientist to the team with strengths in NLP/LLMs , Python (and its packages) , a background in academic research , and ideally 5+ years of experience in a commercial setting too! Essentials: 5+ years … experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within Marketing is preferred. Experience in an academic/ more »

SENIOR DATA SCIENTIST (NLP & LLM) Up to £85,000 LONDON Ready to elevate your career to new heights? Join a team of experienced Data Scientists and Data Engineers to create impactful LLM's models and work with cutting-edge NLP technologies. The Role: Work end-to-end from the R … D to the deployment of NLP/LLM's! Your day-to-day responsibilities will include: You will be responsible for designing, implementing, and maintaining Machine Learning Models to address business requirements. You will actively engage with software throughout the entire development lifecycle. You will conduct experiments with various models … under the guidance of leadership. Your Skills and Experience: MSc or PhD level education in STEM subjects. Proven expertise in implementing Machine Learning and NLP models using Bert, Roberta, GPT4, etc. and NLP Open-Source Libraries. Strong commercial experience with Python and NLP tooling, Previous commercial exposure to LLM, GPT4 more »

Title: Senior Machine Learning Engineer (NLP) Type: Contract Rate: £500-600 per day Length: 6 months Location: London (Hybrid) We're working with a rapidly growing tech company using cutting-edge NLP and AI. Join us and be part of an innovative team building game-changing products! You will: Build … and deploy cutting-edge machine learning models (fraud detection, risk assessment) using NLP (sentiment analysis, named entity recognition) to solve complex product challenges. Translate business needs into impactful AI solutions, guide project execution, and mentor junior data scientists through clear communication and knowledge sharing. Research and implement emerging NLP and more »

the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach, you have … experienced Machine Learning professionals. This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale … the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Significant experience utilising NLP in a commercial setting, ideally for information extraction, entity recognition, etc. Experience working with transformers-based models such as BERT, GPT, etc. Extensive Deep Learning & Machine Learning knowledge. more »

investment bankers. We're developing a platform for mergers and acquisitions (M&A), venture capital (VC) and private equity (PE) professionals powered by large language models (LLMs) to seamlessly deliver accurate research and analysis. Recently fundraised and already working with leading financial institutions, we want to unlock efficiencies across … from diverse data sets, including but not limited to textual, tabular, and graph data, optimizing for the financial domain. Harness the capabilities of Large Language Models (LLMs) to create industry-specific solutions, from proof of concept to fully-fledged deployed applications. Benefits Highly competitive salary. Highly competitive equity package. more »