1 to 25 of 87 Remote Natural Language Processing Jobs

/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist to support the development … complex natural language processing tasks, ensuring accuracy, efficiency, and scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g. ...

will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing … basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering ...

will support delivery of AI use cases, workflows, analytics and solutions - responsible for tasks such as pattern recognition, MLOps, software development, neural networks, and natural language processing … basis. Qualifications Pattern Recognition and Neural Networks skills Computer Science and Software Development skills Natural Language Processing (NLP) skills Strong analytical and problem-solving skills Essential financial services experience (mins 5 years) and hands on AI engineering life cycle experience Bachelor's degree in Computer Science, Engineering ...

time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience in Machine Learning, Data Science, or NLP/LLM. Strong Python skills; exposure to PyTorch/TensorFlow/Hugging Face. (Bonus) understand fundamentals of deep learning, LLMs, and MLOps, vector databases, embeddings … join an early-stage company where their work genuinely moves the needle. Machine Learning Engineer, LLM Engineer, AI Engineer, Artificial Intelligence, Deep Learning, NLP, Natural Language Processing, Large Language Models, Generative AI, GenAI, Neural Networks, PyTorch, TensorFlow, Hugging Face, OpenAI, LangChain, RAG, Retrieval-Augmented Generation, Python ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

exciting opportunity for someone who enjoys working closely with clients, running workshops, and delivering innovative projects that leverage Natural Language Processing (NLP) , Large Language Models (LLMs) , and Generative AI . Professional Services Engineer – The role: You’ll be responsible for configuring, deploying, and commissioning advanced applications ...

enjoys working closely with clients, running workshops, delivering innovative projects who has an interest in learning more about Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI. Professional Services Engineer The role: Youll be responsible for configuring, deploying, and commissioning advanced applications, ensuring projects ...

winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world-leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise-wide productivity. We’re using the latest … presales engineers or consultants. Stay up to date with regulatory developments (e.g. Consumer Duty, risk oversight, compliance in financial services), Agentic/AI/NLP/LLM technologies, competitive landscape. Occasionally participate in post-sales support/implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Skills ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

/CD tooling to ensure seamless model delivery and monitoring. Apply advanced techniques in deep learning, natural language processing (NLP), and statistical modelling to extract insights and drive decision-making. Explore and evaluate Generative AI applications, including prompt engineering, fine-tuning, and safety alignment using tools like ...

Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies ...

Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies ...

Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development (e.g. Python) skills Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Object Character Recognition) Knowledge in Generative AI (Artificial Intelligence) would be advantageous Experience in containerisation technologies ...

role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: 3+ years of experience in machine learning, deep learning or AI engineering Advanced proficiency in Python ...

Neo4J...) Data exchange and processing skills (e.g. ETL, ESB, API...) Development skills, e.g. Python Big data technologies knowledge (e.g. Hadoop stack) Knowledge in NLP (Natural Language Processing) Knowledge in OCR (Optical Character Recognition) Understanding of generative AI and containerisation technologies would be advantageous Knowledge ...

Lead AI Technologist to help lead the team, researching and developing novel AI/ML technologies. You’ll lead projects spanning reinforcement learning, NLP, computer vision, and signal processing, while mentoring teams and shaping partnerships with academic and industry leaders. Key Skills/Experience: Required: PhD in a relevant … Proposal writing experience Strong communication and mentoring skills Expertise in one or more of: AI/ML for imagery and remote sensing Reinforcement learning Natural Language Processing and Large Language Models Knowledge graphs and graph neural networks AI for RF, EW, radar, sonar, or acoustics Autonomy ...

machine learning models into production environments Work with structured and unstructured data at scale Build and optimise models across areas such as predictive analytics, natural language processing, computer vision, or generative AI Collaborate with software engineers to integrate models into live applications Monitor, evaluate, and improve model … Desirable Experience Experience with Generative AI or large language models Exposure to tools such as Hugging Face, MLflow, Kubeflow, or similar Knowledge of NLP, computer vision, or recommendation systems Experience working in agile or product-led environments Whats on Offer Competitive salary and benefits package Hybrid or remote working ...