51 to 75 of 111 Permanent Natural Language Processing Jobs in the UK

Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering … analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree … Mathematics, Computer Science, Engineering, etc.) Experience with applied Neural Networks (CNN & RNN), LLMs Deep understanding of predictive modelling, machine-learning, clustering and classification techniques, NLP and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Experience Managing/leading teams in DS AI/Python/Data more »

like regression and propensity models, time-series, ensemble methods and neural networks Seek out opportunities to make an impact using the latest ML methods (NLP and Gen AI) Be the go-to authority for data products and advanced ML solutions Translate complex data models to actionable insights End-to-end more »

tasks. Proven knowledge of Machine Learning algorithms (e.g. Logistic Regression, Random Forest, XGBoost, etc.) as well as state-of-the-art research area (e.g. NLP, Transfer Learning etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.) Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or a related more »

valuable areas for the business. Requirements: degree in STEM field or equivalent. Advanced degree preferred but not required. knowledge of statistics, machine learning, forecasting, NLP, computer vision, optimisation. Python programmer with experience building data pipelines and statistical/machine learning models. Additional languages preferred, particularly HTML+CSS+JavaScript, or low-level compiled more »

you gain Experience working in a high-performance environment where collaboration and business impact are BAU. Experience in a wide breath of techniques covering NLP through to causal inference. Exposure to the best technology, architectural patterns, and integrations of ML/GenAI to production in the industry. Additional information Why more »

Analytics and AI engineering chapter’s that meets regularly with a focus on priorities, delivery standards and capabilities across the value chain to improve processing of data and enhance our ability to make use of ML/AI in decision making of our processes. Coordinate alignment across the business more »

methods and techniques for analysing data distributions, correlations, and trends. • Knowledge of machine learning algorithms and techniques for predictive modelling, classification, regression, clustering, and natural language processing. • Ability to create clear and effective visualisations using tools like PowerBI or Tableau to communicate insights. • Familiar with big data frameworks more »

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 on more »

high-quality standards, drive continuous improvement initiatives, and address any customer-related challenges. Desirable Technical Experience: Proficiency in Java, Kotlin, or Python. Experience with NLP, ML-Ops, and data pipelines. Familiarity with ML frameworks such as TensorFlow or PyTorch Strong understanding of ML algorithms, statistical techniques, and data analysis. Experience more »

field. Experience: Proven track record in AI/ML projects, preferably in HR or related domains. Leadership experience in managing technical teams. Familiarity with NLP, GANs, VAEs, and other generative AI techniques. Skills: Strong programming skills (Python, TensorFlow, PyTorch, etc.). Strategic thinking and ability to align GenAI initiatives with more »

apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience with manging Agile delivery, preferably Kanban and Scrum. Ability to communicate across business and more »

Engineers and our Machine Learning Engineer. The person we’re looking for A strong foundation in machine learning theory and practical experience, particularly in NLP, is essential for success in this role. We are also looking to push the performance boundaries of our new product as far as possible, so … to tackle complex challenges with innovative solutions. You’ll be responsible for Develop, train and deploy machine learning and AI models, particularly focussing on NLP and language understanding tasks. Work extensively with PyTorch and other machine learning frameworks to build and iterate on models. Optimise and productionise models inside … with containerization technologies (e.g., Docker, ECR) and an understanding of GPU acceleration for deep learning. Expertise in a range of machine learning techniques, including: NLP techniques like text embeddings, large language models and entity & intent recognition. Reinforcement learning algorithms and applications Recommendation techniques and algorithms. Supervised and unsupervised machine more »

learning solutions in a professional setting. Passion for exploring new technologies and driving innovation in the field of machine learning. Experience with Speech Recognition, NLP, or other advanced ML applications is desirable. Benefits: Discretionary bonus (typically 7-10%). Flexibility with working in the office (1x week). Free breakfast more »

experience by working across multiple clients in various industries, delivering advanced data science solutions including price optimisation, optimising media performance and spend, Computer Vision, NLP, forecasting and propensity modelling. Responsibilities: Employ strong technical data science skills to build machine learning models to optimise digital customer journeys; pricing and promotions optimisation … functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes around pricing, promotions, recommendations, Computer Vision, NLP, forecasting and media performance optimisation Experience with cloud platforms such as Snowflake, AWS and DataBricks Excellent problem solving skills to deliver best in class data more »

apply and build ML models from the ground up, utilizing new and established techniques and methods like neural networks, reinforcement learning, deep learning, and natural language processing. Remain connected to the broader research community, staying on top of the latest research and publications and discussing potential applications across more »

the business. The role Leverage data to derive strategic insights Mentor and act as a lead for a team of data scientists Use LLMs, NLP, NLU etc to power real-time decision making The person A third level degree and significant experience in data science Strong skills in python, SQL more »

Python and NumPy experience You have experience with numerical optimisation problems, ideally forward-curve modelling with large data sets You're familiar with LLM, NLP and time-series data You have experience of collaborating with software engineers to deliver data products to market You have an academic record of achievement more »

management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deep learning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use of git is highly desirable more »

They're looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these more »

Strong experience in AI-led projects, preferably within the Defence/Security sector. - Proficiency in AI technologies, for example LLM's, deep learning and natural language processing. - Expertise in programming languages such as Python and Java with a focus on AI application development. - Familiarity with DevSecOps practices and more »

re on the lookout for an Engineering Lead to join our Professional Services team. Your objective? To tailor and integrate our cloud-based AI language model builder to suit a variety of client requirements. What we need to see from you!: Bachelor's or Master's degree in Computer more »

AI and Machine Learning engagements which will include engaging with C-level to gather requirements, and design the latest solutions across Generative AI, LLM, NLP, and ML and lead the delivery, you’ll also get involved in pre-sales and create POC’s. This is an excellent opportunity for a more »

unique opportunity in a collaborative and entrepreneurial environment with great opportunities for career progression. Responsibilities: Apply the rigorous scientific method and methods such as NLP, neural networks and deep learning to develop sophisticated trading models across multiple asset classes that inform highly profitable trading strategies. Work with an elite group more »

with a Cambridge university spin-out in the LegalTech space who's product massively improves the contract review process for legal documents. They use NLP and AI techniques to improve both the speed and efficiency of the industry. They are currently at the scale-up phase and are now looking more »

We’re currently partnering with an AdTech company that are leveraging modern LLM and NLP techniques looking to add to their engineering team. Role: Mid-Level Python Engineer Salary: £45-£60k Location: Fully remote (UK) – occasionally meet-ups in London Company An AI/ML centric business, the company build more »