1 to 25 of 47 Natural Language Processing Jobs in Berkshire

from home. The AI Engineer 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 on a day-to-day 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, or More ❯

NLP/GenAI Data Scientist (3 - 6 months) Python coding & NLP and LLMs experience is Essential Location: 3 days onsite in Central London - do not apply if needing fully remote or not UK based for tax purposes) Sponsorship not available - do not apply if needing sponsorship to work in the UK Certain Advantage are recruiting on behalf of our global … energies client for an NLP/GenAI Data Scientist who can bring a strong understanding in modern NLP, LLMs, transformer architectures, prompt-engineering, RAG, agentic architectures and evaluation methodologies. They require candidates to offer strong knowledge of Python programming for developing and debugging AI models and would expect suitable candidates to be educated to a Degree if not Masters level … intelligent plant monitoring, and autonomous exploratory systems. We’re seeking a Data Scientist with good hands on python skills and a focus on Natural Language Processing (NLP) to contribute to innovative R&D efforts within the GenAI/NLP team. This role will focus on the application and development of Large Language Models (LLMs), Retrieval-Augmented More ❯

compliance team, focusing on regulatory adherence and automation of controls within the banking sector. You will be responsible for designing, developing, and deploying AI-powered systems, specifically leveraging Large Language Models (LLMs) on Google Cloud, to detect, interpret, and respond to changes in regulatory policies, ensuring that the controls remain current and effective. Key Responsibilities: Develop and implement AI … Proven experience in developing and deploying AI/ML solutions, with specific expertise in Large Language Models (e.g., GPT, PaLM, BERT) and Natural Language Processing (NLP). Hands-on experience with Google Cloud Platform (GCP) services, such as Vertex AI, BigQuery, Cloud Functions, and Cloud Storage. Strong programming skills in Python (preferred), Java, or similar languages More ❯

degree in Computer Science , Data Science , Mathematics , or a related field. Familiarity with CI/CD pipelines for ML model deployment. Exposure to natural language processing (NLP) , computer vision , or reinforcement learning projects. Experience working in Agile/Scrum environments. Contract Details Location: Hybrid – London (onsite 2–3 days per week) Type: Day-rate contract (Outside/ More ❯

and strengthen brand equity through advanced data science techniques. Responsibilities: Responsible for integrating multiple previously disconnected datasets Leveraging advanced techniques in machine learning, natural language processing (NLP), and computer vision Utilise these technologies to uncover novel consumer insights, empowering clients to make data-driven decisions Enhancing understanding of consumer behaviour, market trends, and emerging patterns. Play a More ❯

A notable part of the role involves building, training, and optimising machine learning models, including deep learning computer vision models, and fine-tuning natural language processing (NLP), and integrating third party generative AI models. Ideal background: • 3+ years of experience in machine learning, deep learning or AI engineering • Advanced proficiency in Python and ML frameworks like PyTorch More ❯

benefits of automation initiatives. Design solutions by creating detailed Process Design Documents (PDDs) and defining requirements for Robotic Process Automation (RPA), AI, and Natural Language Processing (NLP) solutions. Collaborate closely with process Subject Matter Experts (SMEs) and automation developers to optimise and redesign business processes. Build and manage an innovation pipeline for Copilot and AI use cases More ❯

or customer service environments, this could be the role for you! This is a pivotal hire as they look to modernise customer interactions, migrating from legacy IVR to intelligent, natural language-driven experiences. An understanding of enterprise system design and AI/Machine Learning enabled voice applications is also ideal. What will you do as a Genesys IVR … Specialist? Collaborate with other Architects to define E2E architecture for conversational AI voice solutions. This includes intent capture, caller ID, natural language processing, text to speech and orchestration layers Architectural decision making on Cloud native, Microservices and API first frameworks Own application level architectural design for conversational … voice experiences Define architectural blueprints Design voice based enterprise applications What skills do you need as a Genesys IVR Specialist? Expertise with CCaaS/IVR (Genesys) Conversational AI/NLP technologies Experience with Cloud platforms (ideally AWS) Proficiency in microservices, APIs and event driven design Familiarity with speech recognition, text to speech, dialog orchestration and AI/ML pipelines What More ❯

Hyre AI is partnering with an exciting early-stage AI startup that is building tools to help global brands understand how they are perceived in the age of large language models (LLMs). The company’s platform analyses customer interactions with AI, turning them into insights about brand visibility, sentiment, and emerging trends. This is a unique opportunity for … and automation. The Role(s) We're looking for multiple hires to help our client analyse how brands appear across different contexts and to uncover the stories hidden in language and data. These roles will suit someone with a strong analytical mindset and coding ability, who is curious about language, AI, and how data can generate real-world … with workflow automation tools (e.g. n8n, LangChain) or BI platforms (QuickSight*, Tableau, Power BI). Exposure to cloud platforms (AWS, Docker) or CI/CD principles. Previous projects involving NLP, machine learning, automation, or dashboard design. Why Apply? Impact: Contribute directly to shaping an AI-driven product used by leading brands. Learning: Gain hands-on experience with modern AI tools More ❯

and GenAI solutions , from PoC to production, using agile methodologies and best practices. Expertise in Agentic AI platforms, especially LangGraph . Apply advanced analytical techniques, such as machine learning, natural language processing, computer vision, and deep learning, to extract insights and generate solutions from structured and unstructured data. Build data pipelines, models, and AI applications using cloud More ❯

data lead organisation who are continuously moving forward with the latest AI trends? This company is a true innovator in building data driven products using machine learning, computer vision, natural language processing, speech and audio, and knowledge/data mining. This person will be a senior engineer who will help both define and build the companies. In … although what is key is that you will be deeply involved with productionising and deploying. Strong Python, SQL and programming skills Hands on experience working within areas such as NLP, LLM, recommendation systems Information Retrieval stacks, GenAI (specifically RAG systems). Familiar with architecture and implementation of 1+ ML frameworks (PyTorch, scikit-learn). Experience working in the full model More ❯

Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong software development experience in Python, with understanding More ❯

a few related things we’re interested in: Experience working lower in the stack, e.g., databases, infrastructure, Kubernetes, or observability tooling. Exposure to CI/CD tooling Interest in natural language processing, AI, or distributed systems. Here’s our promise to you: We are going to work with you – to build a rewarding and fulfilling career with More ❯

technical solutions working with business, technical, management, and subject matter experts to deliver products or platform capabilities Experience with applying machine learning solutions to real world problems, ideally around natural language processing Proven track record of building and leading high-performance technology teams, and an ability to attract and retain talented individuals An inspirational leader, capable of More ❯

ready data and scalable pipelines. Nice to have Prior experience working in financial services or within a marketing analytics function. Knowledge of customer lifetime value modelling, recommendation systems, or NLP-based content personalization. Exposure to regulatory considerations in marketing data usage (e.g., GDPR, data privacy in finance). More ❯

LLMOps and responsible AI ● Contribute to innovation, creating reusable frameworks, prototypes, and thought leadership What we’re looking for: ● Strong expertise in Python and leading AI/ML/NLP libraries (e.g. Hugging Face Transformers, spaCy, NLTK) ● Hands-on experience with LLMs (GPT, Claude, Llama, Mistral) and GenAI/Agentic frameworks (LangChain, LlamaIndex, AutoGen, CrewAI) ● Proven track record designing scalable More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

stakeholders to understand business challenges and translate them into actionable AI strategies. Key responsibilities: Collaborating with clients to identify opportunities for AI implementation Designing and developing AI models (ML, NLP, Computer Vision) Conducting data analysis and preprocessing Deploying models into production environments Providing training and support on AI tools and best practices Staying up to date with the latest AI More ❯

problem-solver with a bias toward action and experimentation Nice to Have Experience deploying AI agents at scale Knowledge of cloud platforms (AWS, GCP, Azure) Background in data engineering, NLP, or ML Ops Why Join Us Work on cutting-edge AI projects with real-world impact Collaborate with a world-class engineering team Flexible remote environment with strong growth potential More ❯

that drive meaningful business outcomes. The Role As our Generative AI Engineer , you’ll be at the forefront of innovation, designing and deploying next-generation AI systems using large language models (LLMs), multi-agent frameworks, and cutting-edge GenAI tooling. You’ll partner closely with stakeholders across Product, Design, and Operations to translate business needs into intelligent, scalable applications. More ❯

evaluate machine learning and deep learning models for real-world applications 🛠 Support the development and optimisation of AI pipelines — from data preprocessing to model deployment 📊 Experiment with techniques across NLP, computer vision, and predictive analytics 🤝 Collaborate with data engineers and software developers to integrate AI solutions into scalable products 💡 Research emerging AI trends and contribute fresh ideas to improve models … genuine passion for learning Nice to Have: 💾 Experience with SQL, data pipelines , or cloud platforms ( AWS, GCP, or Azure ) 📊 Familiarity with MLOps tools or model deployment practices 📚 Exposure to NLP, computer vision, or generative AI projects (academic or personal) 💻 Previous internship or project experience in AI, data science, or software engineering If you’re excited to kickstart your career in More ❯

user research to UX, UI, and prototyping. Collaborate with front-end developers to ensure accessible, scalable, and sustainable design implementation. Partner with data engineering and AI teams to integrate NLP, LLM, and advanced analytics into user workflows. Define and evolve visual languages, data visualisation systems, and design standards across products. Use qualitative and quantitative research to inform design decisions and More ❯

of ex-Palantir and ex-OpenAI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to More ❯

ex-Palantir and ex-Open AI leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, Generative AI, and reinforcement learning technologies. Position location (hybrid): London (Shoreditch) or Paris (Le Marais) We are seeking Full Stack Engineers who are passionate about using technology to solve complex More ❯

new technologies, particularly those relevant to the legal sector. CANDIDATE PROFILE//Candidates for this position must have: In depth knowledge of current AI trends including Generative AI, NLP, ML, and legal-specific AI applications (e.g. document automation, legal research, contract analysis). Experience in solution architecture , data science, machine learning, and agile methodologies. Ability to evaluate and implement More ❯