201 to 225 of 412 Natural Language Processing Jobs in the UK

leading technology products in a secure, scalable way. You will work on critical solutions across multiple areas, building production Python systems and ML/NLP workloads, including LLM/SLM powered applications and RAG patterns. The role emphasizes secure coding and performance. #J-18808-Ljbffr ...

Azure DevOps. Strong Software development skills. Ideally Python, Javascript and or other. Good understanding of machine learning fundamentals Good understanding of LLMs and NLP Experience with agentic AI and ability to solutions into existing workflows and business systems. Experience with third-party AI platforms and tools, including building proofs ...

engineers and software teams to move solutions from prototype to supported delivery. Desirable skills and experience Experience with enterprise AI adoption, MLOps, cloud architecture, NLP/LLMs or advanced analytics platforms. Experience managing mixed teams of data scientists, analysts, engineers and product specialists. Experience in client-facing consultancy or public ...

assets using Microsoft Fabric and Databricks. Designing scalable lakehouse data models and governed datasets. Conducting exploratory data analysis and developing machine learning models. Applying NLP, entity resolution and information extraction techniques to document-heavy datasets. Deploying analytical solutions into production through APIs, pipelines and data products. Implementing data quality, monitoring ...

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 ...

governance, and the need for human-in-the-loop review. Experience in forecasting and nowcasting techniques is highly advantageous, as is expertise in financial NLP and fine-tuning. A background in quant finance or systematic strategies is desirable, providing a unique perspective on financial market modeling. Excellent communication and collaboration ...

quantitative discipline. Demonstrate extensive hands-on experience in ML engineering, with a proven track record of shipping production AI systems. Bring deep expertise in NLP, Computer Vision, and/or Multimodal LLM algorithms, with a strong foundation in statistics, optimization, and ML theory. Apply practical experience implementing distributed, multi-threaded ...

technologies, e.g. SQL/no-SQL, Kubernetes (or similar containerised environments), etc. Ability to self-organise and work independently. Nice to have Experience with NLP, LLMs, or other AI and machine-learning systems. A background in machine learning, statistics, or mathematics. Infrastructure-heavy projects, complex data pipelines, desktop applications, front ...

Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments #J-18808-Ljbffr ...

years in applied ML or data science, with models shipped to production. Strong Python, PyTorch or similar, and solid statistics for evaluation. Hands-on NLP and LLM work: fine-tuning, embeddings, classification and LLM-as-judge. Experience measuring fuzzy problems, including labelling, agreement and drift. Clear communication of trade-offs ...

Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments #J-18808-Ljbffr ...

Microsoft, Oracle, or similar platforms.* Background in change management, organisational design, or enterprise transformation* Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks* A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environmentsUnleash Your PotentialWhen ...

Microsoft, Oracle, or similar platforms. Background in change management, organisational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments Unleash Your Potential ...

Microsoft, Oracle, or similar platforms. Background in change management, organizational design, or enterprise transformation Experience with AI/ML concepts beyond LLMs, including NLP, RAG architectures, and model evaluation frameworks A get-things-done mindset with strong bias for action — comfortable operating in unstructured fast moving environments Unleash Your Potential ...

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). Benefits Package and Benefits: Competitive ...

Safety company building the safety, reliability, and optimization layer for AI systems. At the core of our platform are policies - simple natural-language rules that define what an AI model should and shouldn’t do. We automatically test, enforce, and continuously improve these policies at scale. … right in if you Have strong Python + SQL with an engineering mindset: you can build reliable pipelines, not just notebooks. Have solid applied NLP/ML experience on real-world text: embeddings, clustering, topic modeling, semantic search, classification; you understand failure modes and how to debug them. Are comfortable ...

Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries) Strong problem-solving and communication skills Preferred Qualifications Experience with NLP, computer vision, or recommendation systems Familiarity with MLOps practices and model lifecycle management Knowledge of event-driven architectures (Kafka or similar) Experience with DevOps tooling … infrastructure as code Exposure to Generative AI and large language models Competitive Salary Bonus Scheme Private Healthcare Insurance 25 Days Annual Leave + Bank Holidays Up to 10 days allocated for development training per year Enhanced Parental Leave Paid Fertility Leave (5 Days) Statutory & Contributory Pension EAP with Help ...

hands-on data scientist with deep expertise in NLP and LLMs, strong Python coding skills, and a track record of deploying models to production? Do you thrive in building real-world AI solutions that are used by actual customers? If so, we'd love to talk to you! ROLE SUMMARY … with collaborative teams to co-develop innovative products for financial markets and professionals. We're looking for someone who combines deep technical expertise in NLP and LLMs, strong Python engineering skills, and real-world experience shipping and supporting models in production. You should be comfortable owning delivery timelines and ensuring ...

pipelines and production-grade model code within governance standards. The role requires strong Python, ML lifecycle, and cloud experience, with exposure to Generative AI, NLP, and responsible AI practices. #J-18808-Ljbffr ...

SaaS platforms . Strong understanding of Voice of the Customer, feedback systems, and customer experience analytics . Experience working with AI/ML, NLP, or data visualization products is a strong plus. Proven ability to turn customer insights into clear, measurable product outcomes. Excellent communication and stakeholder management skills; comfortable ...

business impact Ability to write production-quality Python code, with a willingness to stay somewhat hands-on Nice to have: domain knowledge of NLP, including evaluating LLM systems and fine-tuning LLMs or other transformer models Nice to have: a strong ability to communicate findings to non-technical stakeholders concisely ...

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 ...

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 ...

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. ...