london, south east england, united kingdom Hybrid/Remote Options
JPMorganChase
and enhance risk management effectively and responsibly. As a Summer Associate within the MLCOE, you will apply sophisticated machine learning methods to a diverse range of complex domains, including naturallanguageprocessing, large language models, speech recognition and understanding, reinforcement learning, and recommendation systems. You will collaborate closely with MLCOE mentors, business experts, and technologists, conducting … knowledge sharing community Develop state-of-the art machine learning models to solve real-world problems and apply it to tasks such as naturallanguageprocessing (NLP), speech recognition and analytics, time-series predictions or recommendation systems Collaborate with multiple partner teams such as Business, Technology, Product Management, Legal, Compliance, Strategy and Business Management to deploy solutions … Electrical Engineering, Mathematics, Operations Research, Optimization, Data Science, or related fields, or equivalent research or industry experience, Expected graduation date of December 2026 through August 2027 Solid background in NLP, large language models, speech recognition and modelling, or personalization/recommendation. Familiarity with state-of-the-art practice in these domains Proficient in Python, and experience with machine learning More ❯
london, south east england, united kingdom Hybrid/Remote Options
Ignite Digital
Data Scientist Are you a data scientist with a love of LLMs, generative AI and NaturalLanguageProcessing? We are looking for a passionate data scientist to drive the legal technology revolution. The role. As a data scientist working as part of a scaling, agile … and multi-functional and expert team, you will use your strengths and interest in the real-life application of LLMs, generative AI and NaturalLanguageProcessing (NLP) to unlock new value, efficiencies, and insights within a leading legal tech organisation. Your work will drive transformative internal and external solutions for our client and will be integral in … same. You will Hit the ground running Youll own and deliver on challenging, client-facing projects and be actively involved in growing this work from day one. Contribute to processing pipelines that turn legal documents into data. Youll create useful data sets by combining data from several sources. You will subject these data sets to rigorous analysis and identify More ❯
learn and constantly improve. Join our team and grow with us! PitchBook's Machine Learning Engineer is responsible for using machine learning and naturallanguageprocessing (NLP) to collect a high-volume of data for the PitchBook Platform and surface insights for our users . This role requires a strong desire to learn and deliver value through … scalable machine learning systems. A strong motivation to succeed is critical and everyone has the opportunity to shape the long-term direction of our team. Primary Job Responsibilities: Apply NLP and Machine Learning: Utilize NLP and ML techniques to create novel views of private industry data, enhancing decision-making and insights Extract Insights from Textual Data: Analyze unstructured data such … related technical field, advanced degree preferred 2+ year of experience building predictive models in a production environment 2+ years of demonstrated experience with naturallanguageprocessing (NLP) 2+ years of demonstrated experience with Python or other object-oriented programming frameworks Demonstrate experience using complex SQL queries for data extraction and transformation Experience in transformer-based languageMore ❯
in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - WHO WE ARE: We're a … product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, naturallanguageprocessing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define the AI roadmap and long-term strategy. … independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and NaturalLanguageProcessing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to More ❯
in the AI and Healthcare technology sector Salary up to £130k + Equity Paddington based (4-5 days per week in-office) Tech environment: Python | PyTorch | TensorFlow | scikit-learn | NLP | LLMs | Data Engineering If you wish to keep your CV/data private, feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We … product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, naturallanguageprocessing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior leadership to define the AI roadmap and long-term strategy. … independently while collaborating effectively within technical teams. Excellent analytical , problem-solving , and communication skills. NICE TO HAVE: Hands-on experience with LLMs and NaturalLanguageProcessing (NLP) , including fine-tuning or prompt engineering. Familiarity with distributed computing or parallel processing (Ray, Spark, etc.). Experience deploying models in production environments (Docker, cloud services). Exposure to More ❯
consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You'll Do : Navitas is seeking an advanced Senior ML Engineer with NLP to design, build, and deploy scalable AI/ML models for use within the DoD's Search Portfolio. This role requires a strong background in naturallanguageprocessing … limited to: Design, develop, test, and support AI/ML pipelines on Databricks using Python to support a variety of Department of Defense (DoD) technical missions. Develop and operationalize NLP solutions for large datasets using modern techniques such as context extraction, topic extraction, and keyword extraction (e.g., RAKE, TF-IDF, and other statistical or embedding-based methods). Leverage advanced … NLP libraries and frameworks including Spark NLP, Hugging Face, and TensorFlow to design and deploy scalable machine-learning models. Build, train, and deploy GPU-based models optimized for performance and cost-efficiency across distributed compute environments (Apache Spark/Databricks/Kubernetes). Apply MLOps best practices using MLflow for model lifecycle management, experiment tracking, and reproducibility. Integrate AI capabilities More ❯
NaturalLanguageProcessing (NLP) is central to enabling massive-scale communication, creation, and safety across the Roblox platform. This role offers the unique opportunity to build and deploy cutting-edge NLP, speech, and generative AI models that operate at an unprecedented scale, impacting hundreds of millions of daily users. You will solve an extremely diverse range of … Systems: Dedicated to building end-to-end ML systems for maintaining civility and safety across the platform, operating at massive scale. This includes: Real-time Moderation: Building world-class NLP and speech models for real-time moderation of voice and text (processing over 6 billion messages daily) and advanced interventions that measurably improve user civility. Critical Harms & Advanced Detection … all Safety AI systems are robust by managing the core data infrastructure, MLOps, and Active Learning initiatives for continuous model improvement. You Will Design and implement deep learning-based NLP and speech solutions that address problems across Roblox, from creation to safety. Develop advanced models, including Large Language Models (LLMs), machine translation, and generative AI , for user interactions, content More ❯
Who you are: We are looking for a highly motivated and talented Senior Machine Learning Engineer to join our AI team. The ideal candidate will have experience in Large Language Modeling (LLM) and DataOps. We are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested … mentoring a team of ML engineers. Excellent problem-solving and troubleshooting abilities, along with a strong analytical mindset and persistence in resolving problems. Strong theoretical and practical background in NLP including experience with state-of-the-art LLM architectures optimized for handling large context and low inference cost. Advanced degree, ideally a Ph.D., in Computer Science, Electrical Engineering, or a … related field with specialized research in areas such as machine learning, NLP, Large Language Models (LLMs), multi-modal foundation models, and generative AI techniques. Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow, etc.) and libraries commonly used in NLP and Generative AI. Solid programming skills in Python and the ability to write clean, efficient, and well-documented code. More ❯
that can act as intelligent agents, integrating with company-approved data sources to provide accurate and relevant information to customers. Design and implement naturallanguageprocessing (NLP) and naturallanguage understanding (NLU) systems to enhance chatbot interactions. Architect scalable and secure solutions for deploying AI models and chatbots in production environments. Collaborate with data scientists … Dialogflow Cloud NaturalLanguage API Cloud Translation API TensorFlow Proven track record of designing and implementing successful chatbot solutions that serve as intelligent agents. Strong understanding of NLP, NLU, and machine learning algorithms. Experience integrating chatbots with various data sources and APIs. Proficiency in programming languages commonly used in AI/ML development (e.g., Python, Java, Go). More ❯
advanced Senior Data Scientist to design, build, and deploy scalable AI/ML models for use within the DoD's Search Portfolio. This role requires a strong background in naturallanguageprocessing, generative AI (LLMs, RAG), distributed computing, and cloud-native architecture. The successful candidate will collaborate with interdisciplinary teams and apply the latest advancements in AI … with 7-10 years of relevant experience, or Master's degree with 5+ years of experience 7+ years of hands-on experience with NaturalLanguageProcessing (NLP), Large Language Models (LLMs), semantic search, text embedding, RAG (retrieval-augmented generation), and generative AI applications Deep understanding of machine learning subfields including computer vision, statistical learning theory, reinforcement More ❯
getaway whilst building trust and loyalty in our brand. Your day-to-day: Design, develop, and maintain Dutch conversational flows for chatbots and voice assistants using Google Dialogflow. Craft natural, culturally relevant Dutch dialogue that reflects local communication styles. Conduct user research and testing to ensure effective and engaging Dutch user experiences. Collaborate with product, engineering, marketing, and customer … up-to-date with latest conversational design trends and best practices to innovate whilst also contributing to development of global design standards. Your skillset: Native or near-native Dutch language fluency with strong English language communication skills both written and verbal, understanding Dutch cultural nuances and communication preferences. Proven experience in conversational design and hands-on use of … markets (Polish, French) Knowledge and understanding of the travel sector, including customer behaviour and seasonal trends Experience with other conversational AI platforms or naturallanguageprocessing (NLP) tools Background in linguistics, psychology, or human-computer interaction Experience with voice user interface (VUI) design Perks of joining us: Company pension contributions at 5%. Individualised training budget for More ❯
Description : Experience with Azure Cognitive Services - CLU (Conversational Language Understanding) Experience continuously improving chatbot performance via analysis to improve experience and model accuracy Prior experience with voice channel and transcription that is fed into a chatbot Collaborative and ability to work in a team environment We are looking for a Conversational AI Engineer to design, build, and optimize AI … this role will be post-transcription. The voice to text side will be handled by another team. The ideal candidate has expertise in naturallanguageprocessing (NLP), Azure Cognitive Services - CLU specifically, and tuning and training a model that is receiving requests that were initiated within a voice IVR style platform. A Conversational AI Engineer will be … behavior and refine interactions. Security & Compliance Ensures compliance with AI ethics policies. Collaboration & Continuous Learning Works with data scientists and software engineers to enhance chatbot capabilities. Stays updated on NLP advancements, Azure AI updates, and emerging conversational AI trends. Communicates chatbot performance insights More ❯
large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, naturallanguageprocessing, risk scoring). Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements. Growing CapTech's Machine Learning and Data Science … large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS Comfort and … analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, naturallanguageprocessing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning best More ❯
large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, naturallanguageprocessing, risk scoring). Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements. Growing CapTech's Machine Learning and Data Science … large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS Comfort and … analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, naturallanguageprocessing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning best More ❯
large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, naturallanguageprocessing, risk scoring). Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements. Growing CapTech's Machine Learning and Data Science … large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS Comfort and … analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, naturallanguageprocessing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning best More ❯
large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, naturallanguageprocessing, risk scoring). Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements. Growing CapTech's Machine Learning and Data Science … large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS Comfort and … analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, naturallanguageprocessing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning best More ❯
large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, naturallanguageprocessing, risk scoring). Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements. Growing CapTech's Machine Learning and Data Science … large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS Comfort and … analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, naturallanguageprocessing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning best More ❯
large datasets hosted on a variety of enterprise-level data platforms (e.g., AWS, Azure, GCP). Designing, developing, and deploying advanced analytical solutions leveraging client data (e.g., recommender systems, naturallanguageprocessing, risk scoring). Productionizing ML systems with a focus on optimization and scalability to satisfy clients' requirements. Growing CapTech's Machine Learning and Data Science … large (multi-billion record) data sets. Hands-on experience developing data-driven solutions using Python, Scala, or similar languages. Proficiency leveraging SQL, Spark, NoSQL, and/or cloud data processing frameworks in a production setting. Proficiency with containerization (e.g., Docker) and microservices. Proficiency with data warehousing tools/environments such as Snowflake, Databricks, Azure SQL, Amazon RDS Comfort and … analytical methods across multiple business domains (e.g., customer analytics, marketing, finance, digital channels)Hands-on experience implementing production-scale machine learning systems in one or more domains (i.e., personalization, naturallanguageprocessing, computer vision). Knowledge of DevOps and automation best practices. Knowledge of statistics and statistical modeling methods. Knowledge of model management and model versioning best More ❯
like to impact millions of users world-wide? If you're an engineer who is passionate about data, quality, results, and innovation; if you have experience applying information retrieval, naturallanguageprocessing, or machine learning techniques to solve practical business problems; if you are a creative problem-solver; if you build prototypes for breakfast, then we want … in computer science (machine learning) with 3+ years of relevant industry experience Preferable Job Qualifications: Industry experience, especially in a consumer internet or online advertising related setting. Experience with naturallanguageprocessing, contextual analysis, keyword extraction, summarization Experience with OSS learning packages like Mahout, scipy, weka, etc. Knowledge of Perl, Python or other scripting languages Experience with More ❯
Senior Data Scientist - NLP Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a … Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in NaturalLanguageProcessing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of … identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate More ❯
oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks … Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI … alternatives (Llama, Mistral). Experience with prompt engineering, fine-tuning, RAG (Retrieval Augmented Generation) architectures, vector databases (Pinecone, ChromaDB, FAISS), embeddings, and building AI-powered automation solutions that leverage naturallanguage understanding. Appian BPA Platform - Strong experience with Appian low-code platform including process modelling, interface design, expression rules, integration objects, and data modelling. Skilled in building end More ❯
guidance to junior engineers. Required Background & Expertise: 5+ years of hands-on experience in AI/ML, with a focus on deep learning, naturallanguageprocessing (NLP), and large language models (LLMs). Experience with major AI frameworks such as TensorFlow, PyTorch, or JAX. Proven track record of deploying and managing models in a production environment More ❯
Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in NaturalLanguageProcessing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of … identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate … and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an More ❯
Face, LangChain, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Be the expert in NaturalLanguageProcessing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for customer facing applications and features. Build machine learning and NLP models through all phases of … identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with advanced ML and DL technologies including language models and are passionate about developing further. You have hands-on experience working with LLMs and solutions using open-source tools and cloud computing platforms. Influential. You are passionate … and can bring along a cross functional team in breakthrough innovations. You communicate clearly and effectively to share your findings with non-technical audiences. You are experienced in training language models or large computer vision models as well as have expertise in one or more key subdomains such as: training optimization, self-supervised learning, explainability, RLHF. You have an More ❯
workflows. Leverage a broad stack of technologies - Python, AWS, Pyspark, LangChain, LangGraph, HuggingFace Transformers, vLLM and VectorDBs, and more Be the expert in NaturalLanguageProcessing (NLP) to harness the power of Large Language Models (LLMs), adapt and finetune them for business specific applications and features. Drive innovation by designing, training, evaluating, and deploying state-of … the-art NLP models, partnering with engineering teams to integrate them into scalable and resilient production systems. Translate complex AI/ML research into tangible business outcomes, improving customer experience through real-time, intelligent digital assistance. The Ideal Candidate is: Innovative. You are deeply engaged in AI/ML research and stay ahead of the curve on emerging GenAI advancements. … achieve innovation excellence Technical. You have hands-on experience in AI/ML development, working with open-source tools, cloud computing platforms, and DevOps technologies. You are proficient in NLP and LLM tuning. Influential. You are passionate about GenAI and can bring together cross-functional teams to drive adoption and innovation. You communicate complex ideas clearly to technical and non More ❯
