76 to 100 of 736 Machine Learning Jobs in the South East

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

from day one — not just writing code in the corner. We’re looking for an ambitious Graduate Software Developer who loves tackling technical challenges, learning fast, and working with smart, supportive engineers. This is a genuine launchpad for your career in tech — ideal for someone who wants to grow … into a Software Engineer, Machine Learning Developer, or Full-Stack Engineer role within 12–24 months. What You’ll Do Design and build high-performance software used by thousands of users daily Develop clean, efficient, and scalable code in Python, C++ or JavaScript Collaborate with engineers, data scientists ...

looking for a Senior Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

Objectives •Collaborate with product and technology teams to understand data needs, business goals, and opportunities for innovation. •Research, prototype, and implement advanced statistical and machine learning models to solve complex business problems. •Translate analytical findings into clear, actionable insights that drive strategic decisions. •Embed data science … predictive and prescriptive analysis. Requirements •3+ years of experience in data science or a related field. •Proven expertise in data mining, statistical modelling, and machine learning techniques. •Advanced experience in pattern recognition, predictive modelling, and feature engineering. •Proficiency in Python and SQL, and a solid grasp of software ...

make confident decisions about customer experience, resourcing and performance Apply a broad range of techniques, from classical statistical methods and regression through to machine learning, neural networks and AI Deliver work using best practices in data science, technology architecture and development processes, with a focus on production-ready … experience applying data science, analytics or operational research techniques to real-world business problems Proficiency in Python (production-level) and SQL ; experience with modern ML/AI libraries such as scikit-learn, TensorFlow or PyTorch Familiarity with MLOps , model deployment and cloud platforms such as Databricks, AWS or Azure ...

looking for a Product Data Scientist to join a growing Insights team. In this role, you'll partner closely with product, engineering, and machine learning teams to deliver insight, drive experimentation, and shape the future of a consumer-facing product ecosystem. This position sits at the intersection … Experience working on consumer-facing, mobile-first products or marketplaces. Exposure to working alongside machine learning teams or embedding data science into ML-powered product discovery. ...

closely with data engineers to define data requirements and pipelines. Performing exploratory data analysis and recreating key business KPIs. Feature engineering in collaboration with machine learning engineers, ensuring production-ready standards. Developing, deploying and maintaining machine learning models. Evaluating project impact through experimentation and A/ ...

that focus on their customers, empower their people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations — including AI & Machine Learning, Analytics, and Infra & Database Migration — as well as recognition as a Best Place to Work in both tech and career development. … visualization tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years ...

that focus on their customers, empower their people, improve operations, and drive innovation. Our work has earned us multiple Microsoft Advanced Specializations — including AI & Machine Learning, Analytics, and Infra & Database Migration — as well as recognition as a Best Place to Work in both tech and career development. … visualization tools such as Power BI, integrated with Databricks SQL endpoints for interactive reporting and dashboards. Strong understanding of statistical methods and ML frameworks (MLflow, scikit-learn, TensorFlow) for predictive modelling, experiment tracking, and deployment within Databricks. Project Delivery Experience 7+ years of experience with Microsoft data technologies. 8+ years ...

digital apprenticeship programs are 2 years long. During this time, you’ll work on different projects alongside learning day to day operations, to become a rounded professional. Role During this 2 year apprenticeship, you will be part of a cross-disciplinary team, working closely with other data analysts, product … business partners. You will be part of a team whose responsibilities include: Building scalable, reusable, impactful data science products, usually containing statistical or machine learning algorithms, in collaboration with data engineers and software engineers. Carrying out data analyses to yield actionable business insights. Adhering to and advocating ...

help build and integrate tools for data analysis, simulation, component design, and automated workflows, contributing to platforms that bring together physical modelling, machine learning, and cloud-based compute infrastructure. What You’ll Be Doing Designing, developing, and maintaining modules within several custom software platforms Supporting engineering use cases … Working with 3D geometry or FEA/CFD simulation tools Cloud infrastructure (AWS, Azure) and tools like Terraform CI/CD pipelines and containerisation Machine learning model development or agentic AI workflows Infrastructure automation and scalable deployment systems Mechanical design principles and turbomachinery fundamentals Ideal for someone with ...

experience in developing and deploying AI applications in real-world environments. Nice to Have Experience with other data engineering tools and technologies. Knowledge of Machine Learning/AI and data science concepts. Accountabilities To build and maintain the systems that collect, store, process, and analyse data, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

organisation functions to contribute to achieving the goals of the business. Nice to Have Experience with other data engineering tools and technologies. Knowledge of Machine Learning/AI and data science concepts. Accountabilities To build and maintain the systems that collect, store, process, and analyse data, such … security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. ...

models. Strategic Workflows: Develop enterprise-grade workflows and decision-support tools that reshape operations across industries. AI Leadership: Guide the integration of AI and machine learning models into client environments, ensuring measurable outcomes. Client Engagement: Partner directly with senior stakeholders, translate business needs into technical solutions, and influence … workflow design at enterprise scale. Track record of leading teams, mentoring engineers, and delivering complex projects in client-facing environments. Passion for AI, machine learning, and emerging technologies, with ability to translate innovation into impact. Exceptional problem-solving, communication, and stakeholder management skills. Curiosity, adaptability, and a drive ...

analytics projects to support business objectives. Collaborate with stakeholders to identify opportunities for leveraging data-driven strategies. Oversee the development and deployment of machine learning models and algorithms. Manage and mentor a team of data scientists and analysts. Ensure the quality and accuracy of data used for decision … LangChain, LangGraph, Haystack LlamaIndex, CrewAI, AutoGen, Transformers (Hugging Face) and RAG pipelines. Proven experience in leading teams and managing complex AI projects. Expertise in machine learning, data modelling, and advanced statistical techniques. Strong programming skills in relevant languages such as Python or R. Exceptional problem-solving skills ...

engineering teams to maintain robust data infrastructure. Analytics and Insights: Design and oversee complex data analysis projects to derive actionable insights. Utilize statistical methods, machine learning models, and advanced analytics techniques. Present findings and recommendations to stakeholders through reports, dashboards, and presentations. Collaboration and Communication: Collaborate with various … ContentSquare), data analytics tools/languages (SQL, Python, R, SAS), and data visualization platforms (e.g., Tableau, Power BI). Strong understanding of statistical methods, machine learning, data mining techniques, data warehousing solutions, big data technologies, and data engineering concepts. Exceptional leadership, team management, and communication skills, with ...

ground up — no legacy, no patchwork systems — just a clean slate and a clear vision. Our mission is to bring the intelligence of modern machine learning directly to the in-store shopping experience. Role: We're looking for an experienced Frontend Engineer to work closely with product, design … mobile, and machine learning team members to design & build experiences that re-define retail shopping. You'll help help build engaging & intuitive web experiences using highly responsive UI components and real-time data flows. Responsibilities: Design and implement reactive, real-time web interfaces that help manage & redefine what ...

advanced simulation and design tools. Projects that interface with mechanical and thermal analysis tools like FEA and CFD. Opportunities to engage with technologies like machine learning, agentic AI pipelines, and full-stack frameworks. You'll bring experience such as... A degree (2:1 or above) in Computer Science … development (Vue3, TypeScript, Django). Experience with AWS, particularly EKS deployments. Background in mechanical or aerothermal design – FEA, CFD, or turbomachinery principles. Exposure to machine learning pipelines or agentic AI systems. What's In It for You? A chance to work on genuinely ground-breaking engineering projects. ...

advanced simulation and design tools. Projects that interface with mechanical and thermal analysis tools like FEA and CFD. Opportunities to engage with technologies like machine learning, agentic AI pipelines, and full-stack frameworks. You’ll bring experience such as... A degree (2:1 or above) in Computer Science … Vue3, TypeScript, Django). Experience with AWS , particularly EKS deployments . Background in mechanical or aerothermal design – FEA, CFD, or turbomachinery principles. Exposure to machine learning pipelines or agentic AI systems . What’s In It for You? A chance to work on genuinely ground-breaking engineering projects. ...