24 of 24 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 ...

joining a passionate people-focused company, and as a Senior Product Manager of Pricing and Price Optimization, you will define and drive AI/ML product development for Vendavo s high-growth, high-visibility pricing and price optimization products. Supported by a top-flight sales organization and high-powered engineering … external partners to ensure clear communication and alignment Develop deep expertise in B2B pricing dynamics across manufacturing and distribution verticals. Define AI/ML-powered pricing capabilities by partnering with data science teams to translate model outputs into intuitive, customer-facing product experiences. Track competitive dynamics and emerging capabilities ...

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 ...

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 ...

Product Manager, Knowledge Platform drives strategy and development of Lightcast s knowledge-layer capabilities across taxonomy, ontology, analytics, and machine learning-powered data products. The role focuses on understanding customer problems, evaluating data and technical opportunities, and translating ambiguous challenges into clear product direction. Success requires strong product … with technical, analytical, or data-focused products, including product strategy, discovery, and/or delivery. Technical fluency in areas such as data, analytics, AI, machine learning, taxonomy, ontology, or knowledge systems . Experience working cross-functionally with customers, engineering, data science, product, and commercial stakeholders. Ability to work ...

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. ...

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 ...

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 ...

adapt to emerging technologies. Strong teamwork skills and sound judgment on when to seek help or collaborate. Nice to Have Experience with AI/ML or enterprise software (especially B2B SaaS) that complements Factory s mission. Prior work at startups or in high growth environments where you built processes ...

Jenkins, or CircleCI). Comfortable with standard version control workflows (Git) and Linux CLI tools. Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects. Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments. Strong skills ...

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 ...

Data Platform Improve our current environment with features, refactoring, and innovation Work with JVM-based languages or Python on Spark-based data pipelines Operate ML models in close cooperation with our data science team Experiment in your domain to improve precision, recall, or cost savings Requirements Expert skills in Java … take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have Experience with operating machine learning models (e.g., MLFlow) Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift) DevOps skills, including terraform and general CI/CD experience Previously ...

resourceful. We challenge the status quo to solve problems and find smarter solutions Build the best technology in-house : we use new data sources, machine learning and AI to make machines do the heavy lifting In six years, Lendable has built a profitable, market-leading credit card ...

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 ...

solve one of the biggest recruitment challenges whilst ensuring every candidate has a fair and positive experience. Working closely with our AI/ML and Occupational Psychologist teams, you'll shape how hiring teams understand talent and make their most important decisions. Key responsibilities: Own a key product area, working ...

expert-led services. Sophos meets organizations wherever they are in their security maturity and grows with them to defeat cyberattacks. Its solutions combine machine learning, automation, and real-time threat intelligence with frontline human expertise from Sophos X-Ops to deliver advanced, 24/7 threat monitoring, detection ...

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 ...

into a company that is a recognized innovator in global education. For over 25 years, Turnitin has partnered with educators and institutions to develop learning integrity solutions that recognize the enduring value of critical thinking in a rapidly changing world. Over 16,000 academic institutions, publishers, and corporations … teams, including Architects, Product Managers, and engineering leads, to deliver innovative and impactful solutions. Mentor and guide junior developers, fostering a culture of continuous learning and knowledge sharing. Oversee the implementation and maintenance of CI/CD pipelines to ensure effi cient and reliable software delivery. Maintain high standards ...

support technical questions that exceed standard documentation. Provide architectural guidance across: Secure build pipelines Software supply chain integrity Container security and governance AI/ML workload governance (where applicable) AI agent architecture patterns: isolated execution environments, MCP policy enforcement, model artifact provenance Partner with Sales Engineers and Post-Sales teams … clearly to senior engineering audiences. Strong written communication skills; experience producing technical blogs or deep technical content. Preferred Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance considerations within containerized environments. Practical Experience with AI coding agent runtimes and sandboxed execution environments ...

.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 ...

constraints, and evaluation results into clear product and system decisions Make hard trade-offs across quality, latency, cost, reliability, and UX Work closely with ML, backend, and mobile engineers on system design, evaluation, and iteration Define and evolve evaluation frameworks across offline metrics, online experiments, and human feedback Drive execution … user trust What You Will Need Technical foundation Strong grounding in computer science fundamentals, including algorithms, data structures, and system design. Solid understanding of ML fundamentals and how modern AI systems behave in production. Comfort reading, reviewing, and discussing technical design documents. AI & ML experience Hands-on exposure ...