201 to 225 of 481 Natural Language Processing Jobs

quasi-experiments, and causal inference methods (e.g., Pre/Post, causal impact, multivariate, multi‐armed bandit) You have hands‐on experience building ML/NLP models at production scale (e.g., text classification, semantic similarity, quality scoring) You have advanced proficiency in SQL and Python, with ability to write clean, production ...

work faster, stay compliant and ultimately come home safely every day. This is an exciting opportunity to work across machine learning, predictive analytics, NLP and Large Language Models, with the chance to integrate innovative AI capabilities including LLMs, MCPs, APIs and enterprise data into production platforms. You'll work … skills Experience with machine learning frameworks such as TensorFlow, PyTorch and Jupyter Notebooks Strong understanding of predictive modelling and machine learning techniques Experience with NLP and Large Language Models (LLMs) Familiarity with AWS services, including S3, SageMaker and Lambda Experience or knowledge of Microsoft Fabric Understanding of the machine ...

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 ...

/ML engineering or software development, with production AI deployment experience Degree in Computer Science (or equivalent) with strong AI/ML/NLP foundations Strong Python skills, familiarity with Java/Kotlin, and solid API design experience Hands-on experience with LangChain, LangGraph, and LLM APIs (OpenAI, Anthropic, etc. ...

isolated courses with live instruction, integrated projects, interview pressure, and employer outreach. Depth Beats a Badge Collection JOPP connects Python, statistics, ML, deep learning, NLP, LLMs/GenAI, and data engineering context so you can answer "how would you productionize this?" You will be asked to defend choices. That ...

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 ...

Strong communication skills and commercial mindset. Nice to Have Experience in financial services, quantitative research, trading, or investment management. Exposure to LLMs, AI agents, NLP, or advanced analytics. Experience working in highly data-driven environments. If you're excited by the opportunity to work on some of the most exciting ...

Strong communication skills and commercial mindset. Nice to Have Experience in financial services, quantitative research, trading, or investment management. Exposure to LLMs, AI agents, NLP, or advanced analytics. Experience working in highly data-driven environments. If you're excited by the opportunity to work on some of the most exciting ...

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 ...

related field. Experience in developing and deploying AI/ML solutions. Proficiency in Python and ML frameworks (TensorFlow, PyTorch). Strong understanding of LLMs, NLP, and machine learning algorithms. MLOps knowledge and experience with version control systems. Back-end engineering skills in Python or Node.js (willingness to upskill in Node.js ...

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 ...

capabilities, and skills Advanced degree (MS or PhD) in a quantitative or STEM discipline or significant practical experience in industry. Commercial experience in applying NLP, LLM and ML techniques in solving high-impact business problems, such as semantic search, information extraction, question answering, personalisation, classification, recommendation or forecasting. Advanced python … understanding of the foundational principles and practical implementations of ML algorithms such as clustering, decision trees, deep learning, reinforcement learning, etc. Strong knowledge of NLP, language modelling, prompt engineering, and domain adaptation. Ability to communicate complex concepts and results to both technical and business audiences. Preferred qualifications, capabilities ...

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 ...

plans and priorities when required. Strong understanding of data ethics, privacy, bias, explainability and governance. Desirable skills and experience Experience with MLOps, AI platforms, NLP/LLMs, knowledge graphs or real-time data products. Experience setting data science strategy or leading cross-functional technical communities. Experience in consulting, public-sector ...

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 ...

that support business requirements, ranging from predictive modelling to Generative AI applications. LLM Integration: Operationalise Large Language Models (e.g., GPT, Llama, Mistral) and NLP workflows (BERT, topic modelling) for production environments. Agentic & Multi-Agent Systems: Design and orchestrate autonomous agentic workflows (using frameworks like LangChain, AutoGen, or CrewAI) that … data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical analysis, and knowledge graphs. Deep Learning: Familiarity or experience with Deep Learning (TensorFlow, PyTorch). What We Offer: Competitive Salary ...

into AI solution designs and measurable outcomes. Develop, train and evaluate AI and Machine Learning models across areas such as computer vision, autonomy, large language models and predictive analytics. Design and maintain robust data processing, training and evaluation pipelines. Apply Responsible AI principles, ensuring model robustness, explainability, security … such as PyTorch, TensorFlow or Scikit-Learn. Knowledge of autonomy frameworks such as ROS2 or equivalent technologies. Experience working with Computer Vision, Deep Learning, NLP/LLM or Time-Series Analytics solutions. Strong understanding of data analysis and manipulation using tools such as Pandas, NumPy and SQL. Experience deploying ...

required depending upon region/BU requirements **What could set you apart*** Experience with specific AI techniques, such as neural networks or natural language processing.* Knowledge of the financial services industry.* Contributions to open-source AI projects.* Experience with data visualization tools.* Passion for data science, data mining ...

visualisations to non-technical audiences. Awareness of data ethics, privacy, bias, model limitations and responsible use of data. Desirable skills and experience Experience with NLP, time series, optimisation, predictive analytics or simulation. Experience with cloud data platforms, notebooks, Git, APIs or data pipelines. Experience delivering data science outputs within Agile ...

Machine Learning, AI, Data Science, Data Engineering and SaaS environments. Experience leading technical teams, including some people management responsibility. Strong experience working with NLP, LLMs and other modern AI/ML solutions. Strong technical background across Data, Development and Cloud, ideally with Python and Azure. Previous experience taking ML/ ...

deep learning, transformers, Generative AI or Agentic AI. Experience across areas such as PyTorch, TensorFlow, scikit-learn, Hugging Face, cloud platforms, MLOps, computer vision, NLP, geospatial data or multimodal AI would also be of interest, although candidates are not expected to have experience across every area. Alongside the technical skills ...