with analytics and AI, and we are seeking a talented Solutions Architect with expertise in Microsoft Azure and NaturalLanguageProcessing (NLP) models to join our dynamic team. As a Solutions Architect specializing in Microsoft Azure, you will play a pivotal role in designing and implementing advanced … teams including data scientists, software engineers, and business stakeholders to architect robust, scalable, and efficient solutions tailored to our clients' needs. Your expertise in NLP models will be essential in developing innovative solutions for processing and extracting insights from unstructured text data. Key Responsibilities: Lead the design and architecture … solutions on the Microsoft Azure platform, ensuring alignment with business objectives, scalability, and reliability. Work closely with data scientists and AI engineers to integrate NLP models into our analytics solutions, enabling advanced text analytics capabilities. Provide technical guidance and expertise to development teams during the implementation phase, ensuring best practices more »
our existing facial animation pipeline (SGX). Conduct research to explore new techniques and advancements in speech recognition, naturallanguageprocessing (NLP), and deep learning for improved lip-sync accuracy. Evaluate and benchmark the performance of machine learning models, identifying areas for improvement and optimization. Work closely … model development and deployment, particularly with deep learning frameworks (Tensorflow, PyTorch, etc.). Strong understanding of speech recognition, naturallanguageprocessing (NLP), and their applications in facial animation. Experience working with audio data processing and analysis. Excellent programming skills in C++ and Python. Experience with cloud more »
interactions and streamline communication processes. Develop predictive analytics models to forecast customer behavior and optimize collections strategies. Integrate naturallanguageprocessing (NLP) capabilities to enhance search functionality and automate content generation. Implement AI-powered decision engines to suggest relevant products or services to customers. Lead the exploration … members, fostering a collaborative and productive work environment. Required Skills: Advanced proficiency in AI technologies, including machine learning, naturallanguageprocessing (NLP), and predictive analytics. Strong knowledge of programming languages commonly used in AI development, such as Python, R, or TensorFlow. Experience with AI frameworks and libraries more »
languageprocessing 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 »
brilliant data scientists, and alongside our superb data engineers, and data analysts. What will you be doing : Applying naturallanguageprocessing (NLP) techniques (including applications of localised large language models - LLMs) to free text data. For example, what features can we construct from content provided by … the skills to evaluate solution suitability e.g., Silhouette Score. Confident in the skills needed to deploy deep learning, ideally through Tensorflow, including transformer architectures. Naturallanguageprocessing capabilities, including skills in sentiment analysis and using and localising large language models (transformers), ideally through the Hugging Face more »
the UK) Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading NLP (naturallanguageprocessing) expertise with deep financial services domain experience to drive enterprise-wide productivity. Aveni harnesses the power of voice to … our platform across advised services. Key responsibilities Collaborate closely with peers in our remote cross functional team of Engineers, Product Owner, UX Designers and NLP Engineers Design and deliver well tested, robust platform services and pipelines Contribute to the continual improvement of the scalability, security and observability of our platform … skill sharing and mentoring to raise the skills in the team Ideally experience working in a multi-tenant SaaS start-up environment Interest in NLP and Machine learning As we are a small team, willingness to work across the stack when needed with React experience would be beneficial Benefits This more »
Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, naturallanguageprocessing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as naturallanguageprocessing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »
Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, naturallanguageprocessing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as naturallanguageprocessing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »
Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, naturallanguageprocessing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as naturallanguageprocessing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »
Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, naturallanguageprocessing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as naturallanguageprocessing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »
Experience in developing and deploying AI solutions using Python, TensorFlow, PyTorch, Keras, Snowflake, or similar frameworks and tools Knowledge of machine learning, deep learning, naturallanguageprocessing, computer vision, or other AI techniques and algorithms Familiarity using cloud based AI services for use cases such as naturallanguageprocessing, computer vision, doc intelligence etc Experience in working with large and complex datasets, data pipelines, data pre-processing, and feature engineering Experience in designing and architecting solutions Experience in cloud computing, distributed systems, microservices, and APIs Experience around productionising AI/ML models Prompt more »
management methods Information Resources To design and develop automated reporting processes to gain maximum benefits from using data science methodologies such as machine learning, naturallanguageprocessing and AI. Provide technical configuration for virtual machines, algorithm deployment etc including security and access roles. Co-ordinates production of … modelling, simulation, optimisation, and data visualization techniques Experience leading the development of machine learning and artificial intelligence solutions to meet business needs Experience using naturallanguageprocessing models to solve business challenge recognising entities in free text Experience creating and developing SQL server queries and/or more »
GSE including unstructured text mining and structured data mining to help business imperatives.How will you make an impact in this role?Apply machine learning & naturallanguageprocessing to uncover patterns, trends, and opportunities in large datasets, translating findings into practical recommendations.Lead, mentor, and develop a hard-working … in machine learning, statistical modeling, and sophisticated analytics techniques, with experience in areas such as regression, classification, clustering, time series analysis.Relevant work experience with naturallanguageprocessing projects and hands-on experience with techniques like POS tagging, NER, word2vec, document classification, sentiment analysis etc.Proficiency in Python & SQL.Strong more »
developing, and deploying GenAI solutions to solve complex problems in Human Resources business area. The candidate will have a strong background in machine learning, naturallanguageprocessing, and software development, with hands-on experience in implementing GenAI technologies. Key Responsibilities Develop and Implement GenAI Solutions: Design and … and Optimization: Train and fine-tune AI models, ensuring optimal performance and accuracy. Research and Innovation: Stay updated with the latest advancements in GenAI, NLP, and machine learning to continuously improve and innovate our solutions. Collaboration: Work closely with cross-functional teams, including software engineers, data engineers, and data analysts … other relevant frameworks. Experience with Flask for API development. Technical Skills: Proficiency in Python and relevant libraries (e.g., PyTorch, TensorFlow). Strong understanding of naturallanguageprocessing and generative models. Experience with vector databases, e.g. Chroma for document and vector management, and embedding models. Soft Skills: Excellent more »
NLP Engineer London office 1-2 days per week £75,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for an NLP Engineer/LLMs Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre … team in place. Your responsibilities as an NLP Engineer/LLMs Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them through applied Machine Learning. Collaborate with a strong team of … Scientists/Engineers to deliver innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 3 years commercial experience in NaturalLanguageProcessing/NLP & ML. Strong coding skills in Python. Strong experience in fine-tuning Large Languagemore »
Principal AI Engineer, ML, NLP, Large Language Models, Biotech West London - office based 4 days per week Highly competitive salary + BUPA + high Bonus Were looking for an MSc/PhD level Principal AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to … transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal AI Scientist will specialise in NLP/Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain … with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/NaturalLanguagemore »
Cambridge, England, United Kingdom Hybrid / WFH Options
Theia Insights
built upon a foundation of academic and proprietary research and harness the latest developments in AI, machine learning, NaturalLanguageProcessing (NLP), Large Language Models (LLM), and technologies built on advanced financial mathematics Your role: Keep the team organised by managing inboxes, calendars and key operational more »
work closely with cross-functional teams, including data engineers, software developers, and domain experts, to drive advancements in a range of technologies including Large Language Models, Process Mining and Graph Databases. Key Responsibilities Research, design, and implement machine learning models to solve business challenges. Work closely with software developers … Excellent problem-solving and critical-thinking skills. Preferred Qualifications Experience with deep learning techniques and architectures. Familiarity with naturallanguageprocessing (NLP) and Large Language Models (LLMs). Knowledge of distributed computing and cloud platforms (AWS, Azure, or Google Cloud). Research experience in Graph Neural more »
or computer vision systems in an industrial environment Experience with time-series data and correlation Understanding of multiple Machine Learning disciplines, such as Image Processing, Computer Vision, Signal Processing, NaturalLanguageProcessing, Pattern Recognition etc. Experience with Docker and Google Suite including Google Cloud Platform … Experience with DevOps tools such as experiment tracking, automation, dataset versioning, etc. Excellent data processing capabilities using tools such as Python, Excel, Google Suite About you: You have good interpersonal skills and are prepared to collaborate in a team to refine solutions Natural curiosity to explore unexplored Perseverance more »
deploy the proof of concept into a fully operational service within SLaM. An exciting opportunity has arisen for an experienced, enthusiastic and self-motivated NLP Developer to work within the Clinical Informatics team, initially for a 2 year period. The post-holder will have experience of large-scale information systems … deploy and develop NaturalLanguageProcessing applications to quantify various clinical entities. Develop pipelines, processes and documentation which support the full NLP app lifecycle; from development, through testing to deployment. Support the day-to-day running of NLP operational services. Work with clinical stakeholders to develop robust … definitions of clinical entities and to pinpoint relevant textual source data, and with NLP testers to validate and improve app performance. Use annotation tools, and rule-based (Jape) and machine learning classification approaches where appropriate to develop new apps. Contribute to documentation of our NLP catalogue, ensuring that apps are more »
fine-tuning of a privately hosted Large Language Model. In this influential role, you will utilize your deep expertise in data science and NLP to revolutionize how our company operates and interacts with AI-driven systems. Your leadership will be instrumental in guiding cross-functional teams, including business, IT … fine-tuning Large Language Models for interactive AI applications in the medical/healthcare industry.Profound expertise in NaturalLanguageProcessing (NLP) and deep learning, with a history of groundbreaking contributions. Exceptional technical proficiency in relevant programming languages and frameworks, such as Python, TensorFlow, PyTorch. Outstanding strategic … complex projects, paired with the capability to mentor and inspire technical teams. A commitment to remaining at the forefront of the latest developments in NLP and AI technologies. Analytical thinker with great attention to detail. Medpace OverviewMedpace is a full-service clinical contract research organization (CRO). We provide Phase more »
days per week Up to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join a strong FinTech scale-up with a high-calibre team in place. Your … responsibilities as a Senior Machine Learning Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them through applied Machine Learning. Collaborate with a strong team of Scientists/Engineers to deliver … innovative and impactful work. YOUR SKILLS & EXPERIENCE A successful NLP Engineer/LLMs Engineer will have the following: Min. 4 years commercial experience in NaturalLanguageProcessing/NLP & ML. Strong coding skills in Python. Strong experience in fine-tuning Large Language Models. HOW TO APPLY more »
challenges. We are seeking an experienced Machine Learning Engineer or Data Scientist with technical expertise in Recommender Systems, NaturalLanguageProcessing (NLP), and Computer Vision, to join our growing team of multidisciplinary data science and ML experts. As a Senior Data Scientist, you will work closely with … 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 more »
research and develop deep learning models for predicting financial markets, including but not limited to time series forecasting, naturallanguageprocessing (NLP), and image analysis. Collaborate with portfolio managers and traders to identify alpha-generating strategies and optimize trading algorithms. Stay abreast of the latest developments in more »
successful applicant will have a set of the following skills - Proven expertise in machine learning, deep learning, and naturallanguageprocessing (NLP) techniques, with a deep understanding of algorithms, architectures, and model optimization. - Hands-on experience in building and deploying end-to-end ML solutions, from data more »
