51 to 75 of 137 Remote/Hybrid Natural Language Processing Jobs

latest data science research and trends. Attend a meeting with client stakeholders to discuss their business requirements. Design and implement a data pipeline for processing large datasets. Develop and execute a machine learning model to solve a business problem. Present your findings and recommendations to a variety of audiences. … Data Science Manager, or a Solutions Architect. You could also specialize in a particular area of data science, such as machine learning or natural language processing. Salary & Benefits The estimated salary range for a Senior Data Engineer at Unisys in Milton Keynes ...

pipelines and processing workflows. Architect cloud-native backend systems and distributed AI services. Collaborate closely with Data Scientists to productionise Machine Learning and NLP models. Develop high-performance RESTful APIs and microservices for AI model serving. Drive system reliability, monitoring, observability and performance optimisation. Champion engineering best practices including … 5+ years' commercial experience in AI Engineering, Machine Learning Engineering, Backend Engineering or Data Engineering. Expert-level Python development experience. Experience productionising Machine Learning, NLP or Generative AI models. Strong experience designing and building RESTful APIs and microservices using frameworks such as FastAPI , Flask or Django . Strong SQL skills ...

Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data ...

layer outputs, reusable data products or enterprise reporting models. Experience applying machine learning or advanced analytical techniques, such as predictive modelling, clustering, classification or natural language processing. Familiarity with responsible AI, model validation and monitoring, data governance, metadata, lineage and ethical use of data in a regulated ...

work with 3 days in the office, allowing collaboration with data science, data engineering and DevOps teams. You'll build and deploy ML/NLP solutions, explore LLMs, and partner with product and engineering to deliver production-ready models across AWS and Azure, improving compliance and safety outcomes. #J ...

explain complex analysis to non-technical audiences. Experience within insurance, financial services, regulated environments or high-volume B2C businesses would be advantageous. Exposure to NLP, text analytics, experimentation or A/B testing would also be beneficial. Package & Working Arrangements Initial 6-month contract. £500 - £550/day Outside IR35 ...

post-doc experience in a quantitative discipline such as statistics, mathematics, computer science, or a related field. Nice to have: Experience applying GenAI or NLP models to real-world business problems. Be yourself – Our differences make us stronger Our customers come from all walks of life ...

Start‐up experience (building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In Return Fletchers Offers Bonus scheme (subject to targets being met) 35 days holiday a year ...

Start‐up experience (building backends and data environments completely from scratch) Previous experience with Azure (Container Apps, endpoints, and cloud deployment) Prior exposure to NLP, LLMs, and ML tools Experience in professional services domains In return Fletchers offers 35 hours working week Bonus scheme (subject to targets being ...

lifecycle across large, multi-source datasets, from analysis and cleansing through to deployment. Apply a broad statistical toolkit, from GLMs and random forest to NLP, clustering and scenario analysis, to generate insight that gets acted on. est and develop new external data sources to keep the team's analytical edge ...

explain results clearly. For entry-level candidates, practical proof matters. SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning, NLP, model evaluation, APIs, data pipelines, automation, and AI application development. This role is ideal for motivated learners who want to build a stronger foundation ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent customerrelationships. Expertise Required ...

software engineers. Responsibilities will include: Leading and delivering technical consulting projects. Developing and delivering AI/ML solutions using a range of techniques (ML, NLP, LLMs, etc.)to tackle real world problems, applyingtools and techniques,and developing novel approaches where required. Building new relationships and maintainingcurrent customerrelationships. Expertise Required ...

project, research, internship or commercial experience applying Data Science. Understanding of machine learning fundamentals. Exposure to tools such as Databricks, Fabric, Power BI or NLP is advantageous. What They Offer £40,000 - £60,000 salary. Hybrid working in London. Direct mentorship from experienced Data and AI leaders. Excellent learning opportunities ...

deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series, NLP, model validation) and the ability to innovate new algorithms. You apply a rigorous scientific and entrepreneurial mindset, translating complex business problems into a mathematical framework ...

Bonus skills & attributes Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area. E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background Visualization, data skills, SQL, matplotlib, etc. Unleash Your Potential When you join Salesforce ...

Git. Solid understanding of mathematics, probability, and statistics. Deep knowledge in a range of machine learning techniques (Supervised and unsupervised). Understanding of Large Language Models, Generative AI frameworks, prompt engineering, fine tuning, resource augmentation. Strong communication and data presentation skills with the ability to build convincing recommendations … experience of one or more of the below areas): Experience of using R. Familiar with, preferably experienced in, Deep Learning (e.g. RNNs, CNNs) or NLP techniques (e.g. TF-IDF, word-embedding). Experience developing Generative AI projects. Experience of exercising software engineering best practices. E.g. test-driven development, smart data ...

line management.Experience of leading teams following agile principles.Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.Experience of training and developing AI models including Large Language Models.Ability to produce … read the Policy and Terms Company RTX Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Language Modeling, Machine Learning, NLP, United Kingdom #J-18808-Ljbffr ...

science fundamentals and time-series forecasting Machine Learning: Strong grasp of ML and deep learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, BERT, LSTM, NLP, Transfer Learning) Machine Learning Engineer, XGBoost, GCP, Python, SQL, time-series forecasting Reasonable Adjustments: Respect and equality are core values to us. We are proud ...

iterate through Python scripts to run data science analyses. Foundational ML knowledge: A good understanding of foundational data science concepts (e.g., statistics, clustering, basic NLP workflows). You do not need experience deploying ML models to production, but you should understand how to apply them to data tasks. Analytical Mindset ...

Scientific thinking skills Track record shipping ML products PhD or other experience in a research environment Deep experience in an applicable ML area - E.g. NLP, Deep learning, Bayesian methods, Reinforcement learning, clustering Strong stats or math background At Fin, we want to give people what they need ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

management.** *Experience of leading teams following agile principles.** *Expert knowledge of AI/ML algorithms for different data types and tasks including Generative AI, NLP and computer vision, sufficient to be able to propose research beyond existing literature.** *Experience of training and developing AI models including Large Language Models. ...

drive innovation through generative AI applications tailored to complex financial workflows. The ideal candidate will have strong Python proficiency and hands-on experience in NLP, along with a solid understanding of the GenAI landscape. This role offers substantial growth opportunities and a hybrid working model, making it perfect for those ...

FinTech clients globally. You will guide ML/AI initiatives, collaborate with clients and internal teams, and own the AI/ML strategy. Strong NLP/LLM experience and deep Python/Azure skills are essential for success. #J-18808-Ljbffr ...