1 to 25 of 49 Remote/Hybrid Natural Language Processing Jobs in the UK

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 ...

Engineer, you will contribute to designing, developing, and implementing AI-driven solutions. Daily tasks include building and optimizing machine learning models, applying natural language processing techniques, and enhancing pattern recognition systems. You will collaborate with cross-functional teams to identify challenges and implement innovative solutions tailored … Qualifications Strong expertise in Pattern Recognition and Neural Networks Proficiency in Computer Science and Software Development Experience in Natural Language Processing (NLP) techniques and applications Proven problem-solving and critical thinking skills Ability to work collaboratively within a hybrid environment Bachelor's or Master's degree ...

risk insights. You will mine data to find behavioural signals—such as spending volatility or income stability—that predict affordability, repayment, and fraud risk. NLP & Entity Resolution: Use classic NLP techniques (fuzzy matching, named entity recognition) to normalise, cleanse, and match and consumer identity data at scale. Generative AI & Explainability … clusters without needing a pre-defined hypothesis. Explainability: Experience using SHAP or similar frameworks to explain model outputs. Natural Language Processing (NLP): Entity Matching: Experience with deduplication, record linkage, or entity resolution. GenAI: Experience with LLM APIs and Context Engineering (constructing prompts, managing context windows, evaluating behaviour ...

Science to design, develop, and deploy scalable machine learning and deep learning solutions. The ideal candidate will have hands-on experience in model development, NLP, cloud platforms, and production-grade deployment, along with prior exposure to fast-paced startup environments. Key Responsibilities - Design, build, and optimize machine learning and deep … learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability and reliability. - Collaborate with cross-functional teams including engineering, product, and data teams. ...

engineers, product managers, designers and policy stakeholders to translate user needs into scalable AI solutions. Contributing to AI-enabled capabilities such as intelligent automation, natural language understanding, prediction and decision support. Ensuring responsible, ethical and secure use of AI and data aligned with governance, privacy and public sector … Strong proficiency in Python for data science, machine learning and AI development. Experience developing and deploying machine learning or deep learning models. Knowledge of natural language processing, transformers or generative AI techniques. Solid grounding in statistics, probability and experimental design. Experience working with large datasets using ...

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 ...

production environments. Strong track record of successfully translating academic research into real-world applications and products. Ability to estimate suitability of candidate ML, NLP, LLM, and GenAI technologies for specific scenarios, estimate the time, cost and outcomes of different solutions, and apply effective risk management to ensure prompt delivery Deep … . Desirable: PhD degree or equivalent qualifications and experience in computer science, machine learning, artificial intelligence, or a closely related field. Experience in applying Natural Language Processing and/or Speech Technology techniques to solve real-world problems. Experience in applying machine learning to educational assessment ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

purpose is unique. We'd love you to join us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression … break down and how automation can take friction out of these journeys. You'll own and deliver projects that explore how machine learning, natural language processing and automation can streamline workflows while reducing manual effort at scale. On a daily basis you will work closely with developers ...

grade data pipelines using Python, Scala, Spark, and SQL - Deep knowledge of AWS Cloud Platforms (EMR, Glue, Redshift, Kinesis, Lambda, DynamoDB) - Experience with data processing across structured and unstructured sources - Strong scripting abilities and API integration skills - Knowledge of data visualization and reporting best practices Desirable but not essential … Experience with data mining and machine learning - Natural language processing expertise - Multi-cloud platform experience They work within an Agile environment with Scrum practices, cross-functional collaborative teams and need someone who can work from the office 2 days a week. Salary: £50,000 - £70,000 + ...

Python and advanced analytics techniques for structured data, with experience using AI/ML frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and Machine Learning : Deep understanding of NLP and ML methods for unstructured data, including experience with foundation models and large language models. AI Solution Development … NoSQL databases (SQL, PostgreSQL, DB2, MongoDB). Preferred Professional & Technical Expertise Specialized AI Domains : Experience in one or more of the following areas: NLP, image processing, video processing, voice processing, or Watson technologies. Modern UI Frameworks: Familiarity with modern UI frameworks such as React.js, AngularJS, Backbone.js, Ember.js ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology. As one of the fastest-growing AI companies worldwide, they continue to scale rapidly to meet rising demand across ...

client is a global leader in Generative AI SaaS, revolutionising how organisations create, manage, and optimise winning bids, tenders, and proposals using cutting-edge natural language processing technology click apply for full job details ...

across client behaviour, operations and financial domains Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP/text analytics, time-series forecasting, & generative AI use cases Monitor model performance and design experiments tied to clear hypotheses Translate ambiguous business questions into ...

Node.js for the backend. AI/ML Integration: Work closely with Data Scientists to deploy and integrate ML models (including LLMs, Predictive Models, and NLP) into production environments via RESTful APIs. Database Management: Design and optimize schemas for both SQL (Oracle, PostgreSQL) and NoSQL, (MongoDB), Snowflake databases. Cloud & DevOps: Deploy ...

Responsibilities Design and implement robust data pipelines and ML workflows using Python, SQL, Spark, and Databricks. Develop and deploy machine learning models (including NLP, deep learning, and agentic AI) in production environments. Integrate data from diverse sources, including streaming and batch ingestion, using Azure Data Factory, GCP Dataflow ...

containerisation and CI/CD practices Advanced AI Capability Experience fine tuning and customising models for domain specific applications Understanding of transformer architectures and NLP frameworks Leadership and Communication Experience architecting systems that scale with growing user bases Ability to establish and uphold engineering standards Strong technical communication skills across ...

sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend ...

Data Governance and Data Catalog solutions: Axon, Informatica EDC, Colibra, Purview, etc. Previous experience in Artificial Intelligence techniques: ML/Deep Learning, Computer Vision, NLP, etc General information: Start Date: ASAP Length of Contract: 1 year (minimum) Work Location: Madrid Remote working. (It may be necessary at some point ...

firms FinTechs or financial data providers Big Tech or adjacent industries where work maps structurally to quant data problems (e.g. large-scale recommender systems, NLP on unstructured data, anomaly detection, knowledge graphs) Smaller teams with broad ownership and responsibility Compensation & Benefits Fully guaranteed, competitive compensation Education allowance for dependent children ...

currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage … business. PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent, Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting, Able to work independently and efficiently to deliver projects on time ...

understanding governance best practice Ability to clearly communicate complex technical outputs to stakeholders Ability to accurately translate client requirements into technical solutions, and Desirable: NLP experience Experience deploying Generative AI applications, such as chatbots or RAG systems Consultancy or professional services background would be advantageous If you are a Lead ...