1 to 25 of 43 Machine Learning Jobs in Kent

quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‐on experience with production ML systems Strong Python skills and experience with tools such as: scikit‐learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face/generative AI tooling Understanding of MLOps … passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‐driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise ...

role We’re looking for AI Trainer – Machine Learning Specialists to help train and evaluate cutting-edge AI models using real ML expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability … though many are shorter. What you’ll bring AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer) A willingness to take our skills verification test to assess your suitability for our participant pool Strong attention ...

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 ...

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 ...

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 ...

most forward-thinking marketers choose StackAdapt to orchestrate high-impact campaigns across programmatic advertising and marketing channels. We're looking to add a Machine Learning Engineer to our Data Science team! This team works on solving complex problems for StackAdapt's digital advertising platform. You'll be working … Amazon Tech Talks: What you'll be doing: Design modular and scalable real time data pipelines to handle huge datasets Understand and implement custom ML algorithms in a low latency environment Work on microservice architectures that run training, inference, and monitoring on thousands of ML models concurrently What ...

usability. 5+ years of engineering experience focused on Machine Learning, AI, and Data Science. Hands-on production experience with LLMs, PyTorch, ML pipelines, and modern prompt engineering frameworks. Strong skills in Python development, including building microservices and working with event-driven architectures. Proficiency in designing and consuming RESTful … GraphQL APIs. Experience with AWS or Azure ML services (e.g., SageMaker, Bedrock, Azure ML) and cloud-native development. Experience with PostgreSQL and MongoDB or similar relational and NoSQL databases. A solid grasp of system design, scalability, and performance optimization in ML-driven applications. A pragmatic, test-driven approach and experience ...

deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. … secure, and optimized for research and production workloads. o Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. Innovation & Continuous Learning o Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. ...

models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior engineers and data scientists to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. … Evaluate model performance and suggest improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Proficiency in Python and key libraries such as NumPy, Pandas, scikit-learn, TensorFlow ...

goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: Design original computational STEM problems … Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field. You have at least 5 years of Machine Learning experience with proven business impact. Strong programming skills in Python (numpy, pandas, scipy, sklearn). Solid understanding of numerical methods and computational algorithms. ...

flows, connectors and agent behaviours, defining secure, scalable solution architectures. Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks. Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production … about you... Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field. Previous experience in AI, data science, ML engineering or advanced analytics. hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based ...

they are not yet connected into a system that consistently drives quality, discovery, and growth. This role owns that system. The Senior Applied ML Engineer - Catalogue Intelligence is responsible for building the machine learning systems that power OnBuy’s catalogue decisioning engine. Working in partnership with the Head … build directly using SQL and Python on top of: · BigQuery · Airbyte · Google Datastream You’ll be working across data pipelines, information extraction, and production ML systems, combining rules, heuristics, and ML/LLMs where appropriate. The focus is on shipping practical systems quickly, validating them with real data, and improving ...

Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real … world constraints. What You'll Do Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency ...

Impulse is the leading edge AI platform, enabling companies to build smarter edge products. Our technology empowers over 100,000 developers to bring more machine learning products to market faster. Enterprise teams develop industry-specific solutions in weeks instead of years because of our robust platform with custom … nice to have, but not required. We have an amazing team to take care of the low-level aspects. Collaborate with our world-class ML team to showcase their research through Studio. No ML background is required, but a readiness to learn is essential! Maintain and extend the Edge Impulse ...

detects performance shifts, reconciles financial flows, and governs revenue integrity in real time. This is a foundational role at the intersection of marketplace economics, machine learning, and financial systems. You will partner deeply with Data Science and Engineering to productionize predictive models, define evaluation frameworks, manage model lifecycles … globally – powering Hopper’s mobile app, website and our B2B business, HTS (Hopper Technology Solutions). By leveraging massive amounts of data and advanced machine learning algorithms, Hopper combines its world-class travel agency offering with proprietary fintech products to bring transparency, flexibility and savings to travelers globally. ...

resolution. 2. AI-Powered Virtual Agents & Automation Develop and optimize AI-driven virtual agents within Salesforce and external platforms. Utilize Einstein AI, NLP, and machine learning to enhance case deflection and automate customer support . Implement Conversational AI chatbots integrated with Live Chat, WhatsApp, and external messaging platforms … Channel Routing, and case automation . Familiarity with third-party AI, automation, and chatbot platforms outside Salesforce . Knowledge of API integrations, RPA, and machine learning-driven automation . Soft Skills & Experience Passionate about customer experience, AI, and digital transformation . Comfortable working directly with clients , understanding their ...

Venture Capital investor and work from our state-of-the-art office in Sunderland. Description: Design, develop, and deploy end-to-end AI/ML-powered features and applications using Python and modern frameworks. Build, integrate, and maintain machine learning models/solutions—from data pipelines … robust backend systems and APIs (e.g., FastAPI, Django, Flask) to support AI-driven workflows. Develop user-friendly frontend interfaces (e.g., React, TypeScript) that surface ML insights and drive engagement. Lead the development, evaluation, and monitoring of models (LLMs, predictive/classification, agentic workflows), ensuring security and compliance standards are met. ...

other professional qualifications, with structured training, mentorship, and learning opportunities. About the role: We are seeking an AI/ML Engineer to join BPM’s Enterprise Technology Solutions team. This role is for a builder — someone who doesn’t just experiment with AI but makes it work inside … helping BPM move faster, work smarter, and stay ahead in a rapidly changing industry. Key Responsibilities: Model Development : Design and evaluate AI/ML models tailored to BPM use cases (e.g., tax AI bot, Copilot extensions). Data Engineering : Prepare and manage structured and unstructured datasets, ensuring quality inputs ...

extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting ...

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. ...

Data Science, Engineering, Mathematics or a closely related discipline. At least 7 years' experience as a Business Analyst, ideally with direct involvement in AI, machine learning or advanced analytics projects. Strong experience in requirements elicitation, analysis, process mapping and documentation in complex, multi‐stakeholder environments. Proven experience working … project qualifications (e.g. BCS BA, IIBA CBAP/CCBA, Agile BA, PRINCE2, Scrum, PMI PBA). Training or certification in data analytics, AI or machine learning. Exposure to cloud‐based data and AI platforms (e.g. Azure, AWS, GCP) and BI tools (e.g. Power BI, Tableau). Experience supporting change ...

reduce reliance on manual processes across the security function. Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments. The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language ...

trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower … development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates Developing systems, interfaces and tools to historical market data and trading simulations ...

latest and greatest in cloud and application architecture Lead on AI driven approaches to application development and management, helping our customers embed AI, ML and automation into process flows Collaborate with sales, pre-sales and cloud teams across the full customer lifecycle to be an expert on engineering modern applications ...

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 ...