326 to 350 of 362 Natural Language Processing Jobs in the UK

mindshare platform that turns noisy social feeds into crystal-clear token insights. Your work will power a product so fast and intuitive, ingesting data from every channel, powering advanced NLP models, and delivering sub-second API responses that will deliver a trading experience that end users will only describe as magic. This role offers a unique opportunity to collaborate with … Responsibilities Build and optimize low latency, high throughput APIs that expose real time token mindshare and sentiment metrics to downstream clients. Design and implement real time sentiment analysis and NLP pipelines for social feeds (Twitter, Reddit, Discord, Telegram, etc.), covering ingestion, tokenization, entity extraction, and sentiment scoring. Develop and train ML models, starting with pre built services and advancing to … code; implement comprehensive testing and debugging; and lead code reviews, share best practices, and mentor teammates. Knowledge & Experience 5+ years in ML or data engineering roles, building production-grade NLP or sentiment systems. Proven track record building low-latency, high-throughput data pipelines and APIs using Go, Python, or similar. Hands-on NLP experience with both pre-built services (e.g. More ❯

as text mining, recommender systems, pattern recognition or regression models - Previous experience in leading a team, ideally of Data Scientists Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Industry , Master Degree , NLP , Pattern Recognition , Recommendation System , United Kingdom More ❯

solutions that are reshaping the world of regulatory compliance. Role Overview: As ML Engineer, RegBrain, your mission is to: Participate in the continuous improvement of RegBrains products. Develop advanced NLP and AI-based products that will delight users. Provide excellence in cloud-based ML engineering, with as much focus on Operations as Development. Expand of the Teams knowledge via demonstration … and documentation. Key Responsibilities: As a machine learning engineer, your main responsibility is to conduct the development andproductionisationof ML and NLP-based features for CUBEs products - a SaaS Platform (RegPlatform) and an API (RegConnect). Develop optimal ML & NLP solutions for RegBrain use cases, from baseline to SOTA approaches, wherever appropriate. Produce high quality, modular code, and deploy following our … established DevOps CI/CD and best practices. Improve the efficiency, performance, and scalability of ML & NLP models (this includes data quality, ingestion, loading, cleaning, and processing). Stay up-to-date with ML & NLP research, and experiment withnew models and techniques. Perform code-reviews for your colleagues code. Engage with them to raise standards of Software engineering. Propose More ❯

Contract Type: Outside IR35 Day Rate: £375 - £400 per day Senior LLM & Multi-Agent Systems Engineer Location: Flexible (UK or Europe preferred) Type: Permanent/Contract Industry: AI, NLP, and Applied Machine Learning We are seeking a highly experienced AI engineer with deep expertise in large language models (LLMs) , multi-agent systems , and emerging prompt and context engineering practices More ❯

Contract Type: Outside IR35 Day Rate: £375 - £400 per day Senior LLM & Multi-Agent Systems Engineer Location: Flexible (UK or Europe preferred) Type: Permanent/Contract Industry: AI, NLP, and Applied Machine Learning We are seeking a highly experienced AI engineer with deep expertise in large language models (LLMs) , multi-agent systems , and emerging prompt and context engineering practices More ❯

Engineer to join an innovative technology team working on intelligent solutions that make a real impact. In this role, you'll use cutting-edge machine learning techniques and large language models to design, implement, and optimise AI-driven systems that enhance productivity and solve complex business problems. If you're passionate about AI, thrive in fast-moving environments, and … and integrating the best tools into the tech stack. Prototyping, testing, and refining AI applications to improve accuracy and performance. Writing clean, modular Python code and performing rapid data processing and feature engineering. Identifying and prioritising opportunities for … AI implementation based on business needs and feedback. Translating complex technical concepts into clear, accessible explanations for stakeholders. What we're looking for Essential: Strong experience with Gen AI, NLP, and machine learning. Proven ability to create, train, and fine-tune LLMs/SLMs. Skills in prompt engineering and RAG (retrieval-augmented generation). Solid background in Python, Java, and More ❯

scientists, engineering and product teams to ship novel AI applications. About you • You are familiar with Python • You are a highly proficient software engineer in a least one programming language (Python or other e.g. Rust, Go, Java) • You have, hands-on experience with AI frameworks and tools (e.g., TensorFlow, PyTorch, Jax) • You have high technical engineering competence. This means … knowledge of the field of AI • You're an expert in your AI field. • You have a publication record. •You have a strong interest in fine-tuning and using language models for applications. • You are able to … navigate the full MLOps technical stack, with a focus on architecture development and model evaluation and usage • You have experience in Audio/Speech experience - audio input/out, NLP etc Note that this is not an exhaustive or necessary list of requirements, please consider applying if you believe you have the skills to contribute to Mistral's mission, we More ❯

most important industries and institutions globally! In this role, you will: Own and build large new areas within our product. Work across the backend, frontend, and interact with Large Language Models. Experiment at a high velocity and level of quality to engage our customers and eventually deliver solutions that exceed their expectations. Work across the entire product lifecycle from … good match for you if you have: Proficiency in one or more of Go, Python, Node, React, Next.js. Experience building ML infrastructure and AI-powered solutions. Background in developing language models using frameworks like Lang Chain and evaluating their performance using tools such as the Llama Index. A track record in scaling products at hyper-growth startups. Strong written … Nice to have skills/experiences: Experience building LLM applications using tools such as Langchain. Experience in Information Retrieval systems for document question answering. Experience in day-to-day NLP for the industry using Python and related toolchains (SpaCy, HuggingFace, NLTK, etc.). If some of the above doesn't line up perfectly with your experience, we still encourage you More ❯

either a technical lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists … and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If More ❯

either a technical lead, or more of a people manager. RESPONSIBILITIES: Lead the end-to-end design, development, and implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists … and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering a collaborative environment. If More ❯

creative, novel, and interesting technical work (if you're into that sort of thing) An opportunity to work with and learn about the latest advancements in AI engineering and language models As much responsibility and growth opportunities as you want to take on Are you a good fit for this role? In order to be successful in this role … first applications Experience using LLMs in production, especially multi-agentic systems Interest in writing (fiction, non-fiction, essays) However, you are NOT expected to: Be an expert in AI, NLP, or Machine Learning Be a designer - you'll be working together with our CPO and designer Ryan Bowman Be experienced with every library and product in our stack from day More ❯

models that run on limited hardware to complex multi-modal architectures that integrate data such as text, images, and audio. We expect you to have deep expertise in large language model architectures and substantial experience in fine-tuning optimization. You will adopt a hands-on, research-driven approach to developing, testing, and implementing new fine-tuning techniques and algorithms. … tuned models into production pipelines. Define clear success metrics and ensure continuous monitoring for improvements and domain adaptation. A degree in Computer Science or related field. Ideally PhD in NLP, Machine Learning, or a related field, complemented by a solid track record in AI R&D (with good publications in A conferences). Hands-on experience with large-scale fine More ❯

Product Owner - Insurance/Reinsurance/Financial Services/Fintech (AI/ML/NLP)| Hybrid - Bristol (2-3 Days Onsite) Salary: £50,000 - £65,000 + Benefits Are you an experienced Product Owner who thrives on driving innovation in complex, data-rich environments? Want to work at the cutting edge of insurance technology with a team shaping the future … At least 5 years of experience as a Product Owner or similar, ideally within the insurance or fintech sector. You must have good knowledge in AI, Machine Learning or NLP Background in computer science, data science, economics, or a related field would be preferred. Strong problem-solving, conceptual thinking, and analytical skills. Solid understanding of service-oriented architecture and Agile More ❯

regulation. Project goals include: Identifying where AI can support policy development Building POCs and prototypes Delivering a business case outlining various AI use cases and feasibility Exploring use of NLP tools to process and interact with policy documents Developing support tools like chatbots or interactive guidance systems Role Overview The candidate will work alongside a multidisciplinary team of aviation consultants … AI engineers, policy experts, and UX developers. The role involves: Prototyping AI/NLP tools for policy analysis and consultation feedback processing Building retrieval-augmented generation (RAG) systems to provide policy guidance Preparing datasets and pipelines using structured and unstructured regulatory data Contributing to model evaluation and iteration based on user feedback Developing prototype tools to support operators, such … for R&D reporting Key Responsibilities Identifying opportunities to apply AI techniques across the policy development lifecycle Cleaning, transforming, and preparing data for AI models Implementing and fine-tuning NLP models for tasks such as classification, clustering, and sentiment analysis Assisting in the development and testing of AI features for internal proof-of-concept tools Collaborating with the UX and More ❯

Computer Science Experience working with large graph/network data sets, with rich textual content Experience of Java programming can independently prototype solutions to problems Experience with Recommender System, NLP and Machine Learning libraries Experience with big data technologies (e.g. Hadoop, MapReduce, Cascading, Scalding, Scala) is desirable but not required Unix skills Experience with start-up and R&D environments … Strong presentation skills in communicating with experts and novices Language requirements: Fluent spoken and written English Educational level: Master Degree How to apply: Please mention NLP People as a source when applying Tagged as: Data Mining , Industry , Information Extraction , Machine Learning , Master Degree , Recommendation System , United Kingdom More ❯

Graduate Technical Engineer - South East England, £35-38k - Clients are a very smart, Intelligent company working on Next Level Technologies, Software and Applications. AI, Machine Learning, NLP, IoT, IT Security, Contact Centre applications, SaaS, Cloud, and much more. Graduate Technical Engineer, £35-38K BASE Salary Computer Science, STEM, Mathematics, Physics, Natural Science, Electronic Engineering Graduate, who want … Providing excellent customer service at all times The Person 2:1 Bachelors Degree in Computer Science/STEM/Mathematics/Physics/Chemistry/Electronic/Electrical Engineering, Natural Science, Learning and Developing their skills, (Life learner attitude) Experience communicating technical information to a variety of technical and non-technical people Experience or knowledge of database query language … learn Some programming languages would be of advantage or a willingness to learn Good experience in a customer facing role Keen interest in Software Applications, AI, Machine Learning, Cloud, NLP, and Client Facing More ❯

and CloudWatch. Possess strong problem-solving skills and a solution-oriented mindset. Experience with at least one programming language (eg, Python, JavaScript) for Lambda function development. Understanding of NLP concepts such as intent classification and entity recognition. Show excellent communication and interpersonal skills. Skills & Requirements: Lead customer discussions on AWS automation capabilities and technology. Guide the development team to More ❯

a proven record of success in online data science competitions, such as Kaggle • Experience in one or more of deep learning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference • Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work on our data so you will need to understand how to … Monthly company events . Company: G-Research Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NLP , United Kingdom More ❯

technologies. Professional experience in testing and launching software products, as well as software design and architecture. Experience with different programming languages and a good grasp of at least one language, such as Python. … Customer focus with the right balance between outcome delivery and technical excellence. Ability to apply technical skills and know-how to solving real-world business problems. Good understanding of NLP processing. Proficiency in the English language. Preferred Qualifications A background or strong understanding of the retail sector, logistics, and/or e-commerce. Recent professional software development experience in recommender More ❯

capabilities with business goals. Risk Assessment & Technical Debt Analysis to identify any areas needing attention. Support & Maintenance management Skills and Experience AI/ML Expertise: Strong understanding of LLMs, NLP, and AI-driven recommendations. Technical Leadership: Experience in AI product scalability, DevOps, and cloud architecture. Backend & Data Skills: Proficiency in Python, Node.js, PostgreSQL, MongoDB, API security. AI Model Deployment: MLOps … engineering, and AI ethics awareness. Strategic Mindset: Ability to align technology with business objectives and cost efficiency. Security & Compliance Knowledge: GDPR, API authentication, and observability best practices. Big data processing: Understanding data lakes, warehouses, and tools like Spark, Kafka, and Airflow. ETL Pipelines: Ability to evaluate data ingestion, transformation, and cleaning processes. DevOps & CI/CD: Hands-on knowledge More ❯

for the expectations of the role. Company: Bloomberg Qualifications: What we look for: - Bachelor's degree or relevant work experience required (or regional equiv) - Business fluency in a second language preferred (As needed regionally) - Strong interest in financial markets and understanding of Bloomberg's position within it - Experience in and enthusiasm for customer service - Interest in technology and software … audiences - Excellent critical thinking and problem solving skills - Prior experience with use of the Bloomberg Terminal is a plus Educational level: Bachelor's Degree How to apply: Please mention NLP People as a source when applying Tagged as: Bachelor's Degree , Data Mining , Industry , NER , United Kingdom More ❯

typical day at Cohere might include: Leading the technical talk track on customer calls. Deep dives on customer problems and Cohere technology. Designing novel enterprise solutions with bleeding-edge NLP technology. Facilitating customer evaluations and PoC's. Developing and documenting processes to enable the solutions architect team to scale effectively within Cohere. Collaborating with the Product and Engineering teams to … Must have: Security Clearance 5+ years of public sector customer-facing technical pre/post sales Solutions Architect (or similar) experience in the UK. 2+ years architecting or deploying NLP/AI/LLM Solutions. A passion for Generative AI, and an understanding of strengths and weaknesses of Generative LLM's and AI technologies. Comfortable working with Python and Jupyter More ❯

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of More ❯

compliant with governance standards Applying your expertise in data management, processing, and quality assurance Staying ahead of emerging technologies, contributing to the technology roadmap Delivering innovative solutions in NLP, OCR, and Generative AI applications Experience required: Strong SQL skills (e.g. MS SQL, Oracle) and noSQL skills (e.g. MongoDB, Neo4J) Proficiency in data exchange and processing tools (ETL, ESB … APIs) Development skills in Python and familiarity with Big Data technologies (e.g. Hadoop) Knowledge of NLP and OCR; Generative AI expertise advantageous Understanding of containerisation (Docker) and, ideally, the industrial/defence sector The Package: Company bonus: Up to £2,500 (based on performance) Pension: Up to 14% total contribution (employer & employee) Overtime: Paid opportunities available Flexi Leave: Up to More ❯

training and development on an ongoing basis, with the tools you will need to succeed. Our clients follow Government guidelines Graduate Business Consultant, B2B, IT SALES, AI, Machine Learning, NLP Applications, UcaaS, IoT, Complex sales, Solution Sales. International Travel Key Responsibilities of a Graduate Business Consultant What our clients look for, Graduate Business Development Executive Sales wins: the role exists … Tenacious attitude, willing to put required effort in to achieve their targets Excellent training and development on offer, you will be selling high-end solutions in AI, Machine2Machine, IoT, NLP, UcaaS, IT Security, Contact Centre Applications, Unified Communications, Consultative Sales More ❯