176 to 200 of 473 Permanent Natural Language Processing Jobs

with clients to solve their most complex challenges. Design and implement end-to-end ML pipelines from experimentation to production Lead model development across NLP, computer vision, and time‐series forecasting Architect scalable model serving infrastructure on cloud platforms (AWS/GCP/Azure) Conduct rigorous model evaluation, A/ ...

with the ability to personally contribute high‐quality production code while guiding technical direction Deep hands‐on expertise building enterprise AI applications using large language models, AI agents, retrieval‐augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from … application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real‐time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval‐augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

with the ability to personally contribute high-quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from … application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

with the ability to personally contribute high-quality production code while guiding technical direction Deep hands-on expertise building enterprise AI applications using large language models, AI agents, retrieval-augmented generation, prompt engineering, orchestration frameworks, evaluation methods, and model optimisation techniques Proven ability to take complex AI solutions from … application programming interfaces, data pipelines, inference pipelines, and platform capabilities that support real-time and batch AI workloads at enterprise scale Implement advanced large language model applications using retrieval-augmented generation, prompt orchestration, evaluation frameworks, model optimisation, agentic workflows, and tool integration Make key technical decisions while remaining accountable ...

skills and experience with PyTorch, TensorFlow, and Hugging Face Experience taking AI proof-of-concepts from idea to production Strong knowledge of deep learning, NLP, and LLM architectures Experience fine-tuning LLMs or training domain-specific models, and with RAG, embeddings, and vector databases Familiarity with agentic AI concepts ...

both internal and client stakeholders. Advanced Modelling : Proven ability to implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming ...

mindset with the ability to operate independently and step up into a leadership vacuum when needed. What we prefer you have: Experience with advanced NLP techniques beyond prompt engineering, including fine‐tuning and evaluation frameworks for generative models. Experience working in the (re)insurance industry, with an understanding of underwriting ...

Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systems Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization Demonstrated ability to own services, components, or features end to end, from technical … delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration Contribute to technical designs, participate in design reviews ...

. Knowledge of data visualisation tools such as Power BI or Tableau. Experience with Git/version control. Exposure to Generative AI, LLMs or NLP . Experience deploying models into production environments. What's on Offer Competative salary Hybrid working 25 days' annual leave + bank holidays Company pension scheme ...

analytical and problem-solving skills Excellent communication and teamwork abilities Genuine passion for AI and emerging technologies Desirable Skills Exposure to Generative AI, LLMs, NLP, or computer vision projects Knowledge of AWS, Azure, or GCP Familiarity with Docker, APIs, or Git workflowsFamiliarity with frameworks such as PyTorch, TensorFlow, or Scikit ...

Experience in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability to work ...

record in sales and/or pre-sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well ...

record in sales and/or pre-sales and in delivering data transformation programs and developing teams PREFERRED QUALIFICATION Experience in Practical experience with NLP techniques and/or Search Techniques, prompt engineering Experience with LLMs for enterprise-scale applications. Hands-on experience with cloud platforms (AWS, Azure, GCP) Well ...

Data science experience Experience applying data science techniques to real world datasets, such as machine learning, time series forecasting, statistical modelling, simulation, causal inference, NLP, risk adjustment or optimisation. Experience applying data science to healthcare datasets, especially acute provider activity, patient flow, outpatients, ED, waiting lists, inequalities, population health ...

Months Initial Contract | + ExtensionsHybrid | London Company: Experis UK Level of experience (years): Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, Recommendation System, United Kingdom #J-18808-Ljbffr ...

pipelines and implementing monitoring and observability practices. Experience working with cloud platforms, ideally Azure, although other cloud backgrounds will be considered. Exposure to LLMs, NLP, text analytics, or generative AI applications. The ability to deploy infrastructure that supports scalable, reliable machine learning services. What They Offer Ongoing training and development ...

pipelines and ETL workflows for efficient and accurate data movement and transformation. Apply data science and AI techniques, including predictive modelling, clustering, regression, and NLP, to uncover trends and enable forecasting. Design scalable data models and analytics frameworks to support self-service BI and advanced analytics. Collaborate with cross-functional ...

Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability ...

Well versed in Python, with experience in frameworks like Tensorflow, PyTorch, and tools for building ETL pipelines (e.g. Apache NiFi, Airflow) Practical experience with NLP and/or Search techniques Prompt engineering, and LLMs for enterprise-scale applications. You have team lead experience Strong collaboration skills with the ability ...

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 ...