50 Best security operator Jobs in Basildon (October 2026)

About the Role We are looking for an experienced AI & Machine Learning Engineer to design, develop, deploy and maintain AI and machine learning solutions that support business operations and data-driven decision-making. You will work across machine learning, statistical modelling, data engineering, natural language processing, forecasting and AI application development, turning complex business and operational data into practical solutions. The role involves working closely with technical and business stakeholders to identify opportunities where AI and machine learning can improve forecasting, automation, customer insight, operational efficiency and commercial performance. Key Responsibilities • Design, develop, train and deploy machine learning models for business applications., • Develop predictive models for forecasting, classification, regression, customer behaviour and business performance., • Perform feature engineering, model optimisation and performance evaluation., • Develop AI-driven solutions to automate analytical and operational processes., • Work with structured and unstructured datasets from multiple sources., • Build data-processing workflows and pipelines to support machine learning applications., • Apply statistical modelling and exploratory data analysis to identify trends, patterns and anomalies., • Develop NLP and text-mining solutions, including text classification, sentiment analysis and entity extraction., • Deploy machine learning models into production environments and support ongoing monitoring and optimisation., • Develop reproducible ML workflows and maintain appropriate version control and documentation., • Work with cloud-based infrastructure to support scalable AI/ML applications., • Develop forecasting and optimisation models for areas such as demand, sales, revenue and business performance., • Develop production-quality Python and other technical code for AI/ML and data-processing applications., • Integrate machine learning models with existing software systems and business applications., • Ensure appropriate data quality, privacy, security, governance and responsible AI practices., • Assess model reliability, bias, explainability and performance., • Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders. Essential Skills & Experience • Degree or Master's qualification in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Engineering or a related quantitative discipline., • Strong practical experience in machine learning and statistical modelling., • Strong programming skills, particularly Python., • Experience with machine learning frameworks and libraries., • Strong knowledge of data manipulation, feature engineering and model development., • Experience working with both structured and unstructured data., • Knowledge of regression, classification, clustering and predictive modelling., • Knowledge or practical experience of NLP and text-mining techniques., • Experience developing and deploying machine learning models., • Understanding of cloud-based computing and data-processing environments., • Strong analytical, problem-solving and troubleshooting skills., • Ability to explain complex technical concepts to non-technical stakeholders. Desirable Skills Experience with one or more of the following would be advantageous: • AWS, Microsoft Azure or Google Cloud, • MLOps and machine learning deployment pipelines, • TensorFlow or PyTorch, • Deep learning and neural networks, • NLP and large-scale text analytics, • Time-series forecasting, • SQL and relational databases, • Pandas, NumPy and Scikit-learn, • Git and Jupyter, • APIs and AI model integration, • Data visualisation and business intelligence tools, • Data governance, privacy and responsible AI Typical Technologies You may work with technologies including: Python | SQL | Scikit-learn | TensorFlow | PyTorch | Pandas | NumPy | NLP libraries | Jupyter | Git | AWS | Azure | Google Cloud | MLOps tools | Cloud & relational databases What You Will Deliver • Production-ready machine learning models, • Predictive forecasting and optimisation systems, • AI-powered analytical applications, • Automated data-processing and modelling pipelines, • NLP and text-mining solutions, • Model monitoring and performance optimisation, • Technical documentation and model specifications, • Data-driven recommendations supporting operational and commercial performance The Person We Are Looking For We are looking for someone who combines strong technical AI/ML capability with commercial and analytical thinking. You should be comfortable working with complex datasets, developing practical machine learning solutions and communicating your findings to people from different technical backgrounds. If you are passionate about applying AI and machine learning to real-world business problems and enjoy taking solutions from development through to production, we would like to hear from you. How to Apply Please submit your CV through Indee. Successful applicants will be contacted regarding the next stage of the recruitment process.

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