226 to 250 of 792 Natural Language Processing Jobs in London

of cloud infrastructure (ideally AWS), Kubernetes, and relevant SDKs (e.g., boto3, confluent-kafka). Experience deploying ML models in production using REST APIs, microservices, and Docker containers. Understanding of NLP, LLMs, and prompt engineering techniques. Proficient in version control, CI/CD pipelines, and test-driven development. Nice to Have: Experience within financial services or fintech. Familiarity with MLOps tools … e.g., MLflow, Kubeflow, SageMaker). Understanding of regulatory or compliance frameworks. Academic background in mathematics, statistics, or quantitative disciplines. Who You Are: A natural problem-solver and independent thinker with a structured approach to work. Passionate about learning, growth, and continuous improvement. Organised and self-motivated, with excellent time management. Comfortable taking initiative and ownership of technical decisions. A More ❯

to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data Develop models and tools using Python, NLP, and machine learning frameworks Explore and integrate state-of-the-art AI from providers like OpenAI, Google, Microsoft, and AWS Conduct research on emerging AI/NLP trends and share … s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate business challenges into technical requirements Experience working with SQL and data warehousing tools What’s in it for me? Salary of £45,000 - £65,000 dependent More ❯

to join their team. What will the role be doing? Design and prototype innovative AI and data science solutions using digital consumer data Develop models and tools using Python, NLP, and machine learning frameworks Explore and integrate state-of-the-art AI from providers like OpenAI, Google, Microsoft, and AWS Conduct research on emerging AI/NLP trends and share … s degree or higher in Computer Science, Maths, Statistics, Engineering or similar 3+ years’ experience with Python, including strong code design Proven experience building, optimising and evaluating AI/NLP models Ability to translate business challenges into technical requirements Experience working with SQL and data warehousing tools What’s in it for me? Salary of £45,000 - £65,000 dependent More ❯

to Lead levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Cheltenham Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on … to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis. Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes. Experienced … search for Henry Clay-Davies.I look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/Deep Learning #J-18808-Ljbffr More ❯

Software Engineering . This unpaid internship is designed to provide hands-on experience and portfolio-building opportunities. AI Engineers – Build and train AI models Machine Learning Engineers – Work on NLP, computer vision, & deep learning Software Engineers – Develop AI-powered applications What You’ll Gain: Real-world AI experience working on business innovation projects. A strong portfolio to boost your career … Programming Machine Learning & Deep Learning – Algorithms, neural networks, and frameworks like TensorFlow or PyTorch. Data Analysis & Visualization – Ability to work with large datasets using Pandas, NumPy, Matplotlib, or Seaborn. NLP & Computer Vision (Bonus) Software Development – Knowledge of APIs, backend systems, and full-stack development (desirably for AI-powered applications). Cloud & DevOps Basics – AWS, Azure, or Google Cloud for AI More ❯

Developing data initiatives in line with wider business strategy Engaging with senior business leaders and technology management to design a Target Data Operating Model Developing the firms AI/NLP strategy, roadmap and capability utilising emerging data science approaches where applicable Optimising existing technology to support/develop the ongoing data architecture roadmap in relation to business operations Enhancing the … ADF, PowerBI etc Management and leadership of multi-disciplinary teams within data – Data Science, Data Analysis, Engineering/ETL, Data Visualisation Experience of developing and, critically, delivering AI/NLP/ML and predictive analytics capability within commercial environments. Experience of ensuring that all data-related activities comply with regulatory industry standards An ability to influence across all departments at More ❯

generation (RAG), reinforcement learning for LLMs. You’ve published AI research in top tier AI conferences like: NeurIPS, ACL, SIGIR, ICML and ICLR. You’ve contributed to open-source NLP projects. You’ve worked in a fast-paced startup environment and thrive in rapid iteration cycles. #J-18808-Ljbffr More ❯

England, United Kingdom 9 months ago London, England, United Kingdom 1 week ago London, England, United Kingdom 3 days ago London, England, United Kingdom 2 weeks ago Data Scientist – NLP, LLMs, & Prompt Engineering London, England, United Kingdom 11 months ago London, England, United Kingdom 3 weeks ago London, England, United Kingdom 1 month ago Senior Machine Learning Engineer (must be More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

genuinely make a difference in the world. What’s in it for you? Real-World Impact : Apply your expertise to projects that address meaningful global problems—combining deep learning, NLP, computer vision, and causal inference to deliver insights where they matter most. Technical Leadership : Influence the architecture and direction of AI systems while working with a diverse, cross-functional team More ❯

and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and More ❯

and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and More ❯

and building robust data pipelines for AI/ML workloads on GCP (e.g., BigQuery, Dataflow). • Solid understanding of core AI/ML concepts, including deep learning, neural networks, NLP, and machine learning algorithms. • Familiarity with MLOps principles and tools for deploying, managing, and monitoring ML models in production. • Excellent problem-solving skills, with a passion for building innovative and More ❯

with cloud platforms like AWS, GCP, or Azure. Strong written and spoken English skills. Bonus Experience: Experience with big data tools (e.g., Hadoop, Spark) and distributed computing. Knowledge of NLP techniques and libraries. Familiarity with Docker, Kubernetes, and deploying machine learning models in production. Experience with visualization tools like Tableau, Power BI, or D3.js. Understanding of A/B testing More ❯

solutions that create efficiencies and align the business to the target operating model. Projects may include Intelligent Automation, Data Transformation, Data Visualization, Data Digitization, Artificial Intelligence (such as LLM, NLP, & Gen AI) and various other initiatives. The role provides the opportunity to innovate through cutting edge technologies while partnering with operations, product and technology teams across the organization. Job responsibilities More ❯

TensorFlow, PyTorch). High mathematical competence and proficiency in statistics. Solid understanding of data science techniques such as supervised/unsupervised learning, cross-validation, Bayesian inference, time-series analysis, NLP, SQL, and API development. Ability to develop new algorithms is a fundamental skill. Leadership mindset focused on team growth, mentorship, and fostering a collaborative culture. Appreciation for applying the scientific 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 ❯

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 ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

statistics A solid grasp of essentially all of the standard data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a fundamental skill More ❯

guidance• Excellent communication skills for explaining technical concepts to non-technical audiences• Experience in team leadership and mentoring within data science• Proven ability to build and scale ML/NLP solutions across platforms• Familiarity with Tableau, Power BI, and/or JavaScript-based visualization tools• Passion for creativity, innovation, and a self-starting mindset Additional Information Saatchi & Saatchi has fantastic More ❯

guidance• Excellent communication skills for explaining technical concepts to non-technical audiences• Experience in team leadership and mentoring within data science• Proven ability to build and scale ML/NLP solutions across platforms• Familiarity with Tableau, Power BI, and/or JavaScript-based visualization tools• Passion for creativity, innovation, and a self-starting mindset Additional Information Saatchi & Saatchi has fantastic More ❯

guidance Excellent communication skills for explaining technical concepts to non-technical audiences Experience in team leadership and mentoring within data science Proven ability to build and scale ML/NLP solutions across platforms Familiarity with Tableau, Power BI, and/or JavaScript-based visualization tools Passion for creativity, innovation, and a self-starting mindset Additional Information Saatchi & Saatchi has fantastic More ❯