17 of 17 Machine Learning Jobs in Kent

Machine Learning Research Engineer – NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … Ph.D. relating to classic Machine Learning and Natural Language Processing and its application to an ever-advancing technical landscape. On a daily basis you will be working on the very cutting-edge of machine-learning including prototyping, building and implementing new approaches to AI problems. Location ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

training actually improved their skills. The whole platform is built around learning by doing rather than just passive video watching. For your ML engineer role, you'd be building the AI engine that makes the coaching work. That means creating the models that listen to what learners say during … helpful feedback in real time, and decide how the AI avatar should respond next based on what the learner does. This is an applied ML position, not a research one . We expect you to have a good understanding of ML but on the other side to be a good ...

insurance. Excited to make an impact? Here are the details You’ll be joining our pricing and underwriting domain to bridge the gap between machine learning/data science and engineering. You will help build, publish, and maintain our complex data products and pipelines, key elements that have … Have Hands-on experience in Data Quality and Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year ...

understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help … Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed ...

proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels). You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications. You are proficient in SQL and database operations for data manipulation and analysis. ...

seeking a Machine Learning Research Engineer to join a Cambridge-based team shaping the next wave of NLP, LLMs, and classic ML applications. You will prototype, implement, and evaluate advanced AI methods across NLP domains, collaborating with researchers and engineers. The position offers a hybrid work model … days in-office, 2 days remote) and a highly competitive salary with comprehensive benefits, reflecting your expertise in ML, NLP and scientific research. #J-18808-Ljbffr ...

into real, scalable product features. Responsibilities • Design and implement AI-powered features within the platform (e.g., automation, recommendations, copilots) • Integrate LLMs and/or ML models into existing services and workflows • Evaluate, select, and optimize AI tools, APIs, and frameworks for production use • Collaborate with Product to translate business problems … Strong backend engineering experience (RoR and/or Golang preferred) • Experience integrating APIs and working within distributed systems • Hands-on experience with AI/ML tools (e.g., OpenAI, Anthropic, Hugging Face, or similar) • Experience building or integrating AI-powered features into applications (not just experimentation) • Strong understanding of data flow ...

related field. Salesforce Data Architecture & Management certification or equivalent. Experience using Python for data analysis, automation or process improvement. Knowledge of AI and machine learning applications within CRM and customer analytics. Experience within customer-focused B2B or B2C environments. French language skills Person Specification Strong understanding ...

first development Influencing senior stakeholders on technology direction and investment Providing architectural governance across multiple products and platforms Evaluating emerging technologies including AI/ML solutions Creating architecture standards, roadmaps and best practices Supporting engineering teams with complex technical decision making Ensuring platforms remain secure, scalable, resilient and high-performing ...

easy-to-use online platform. Step 2: Full-Stack AI Mastery Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. You’ll work on hands-on mini projects that mirror real-world challenges, helping you build ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting About the role The Front-Line Operations Agent plays a vital customer-facing role … recurring issues and communicate these to relevant teams, supporting continuous improvement initiatives. Log all interactions accurately and ensure data integrity for audit and learning purposes. Continuous Improvement & Feedback Provide clear, actionable feedback from frontline experiences to enhance our knowledge base, training resources, and AI systems. Participate in process reviews ...

technical roadmaps aligned with growth roadmaps and long-term defence strategiesevaluating and selecting technologies across cloud, edge computing, secure networks, data platforms, AI/ML, and mission critical softwareCollaborating with senior military users, programme managers, and engineering leads to capture operational needs and translate them into technical solutionsBeing responsible ...

bids and business development activities ensuring that proposed solutions are feasible, innovative, compliant, and mission-alignedWorking closely with engineering, data, cyber, AI/ML, and systems integration teams to shape end-to-end solutionsTranslating complex missions’ needs into robust technical architecture, capability concepts, and delivery approachesTechnically lead major bids from ...

trade-offs Comfortable working in a fully remote, global, and agile environment Strong signals Experience with analytics, reporting, data visualisation, or AI/ML integrations Background contributing to or building on open-source projects Familiarity with UX principles and/or data-driven product design Prior experience in innovation … days paid holiday + national public holidays Remote office budget + home equipment supplied Health insurance, mental health support and a volunteering day Annual learning budget Location 100% remote — United Kingdom only. Hiring Process Application → Screening email → Online aptitude test → People & Culture interview → Technical skills interview → Take-home exercise ...

.NET Developer - .NET 10.0, C# 14, Blazor, Azure - Tunbridge Wells (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET MAUI, ML.NET, Azure AI, GitHub Copilot, Docker, Kubernetes, .NET Aspire, CI/CD, HTML ...