11 of 11 Machine Learning Jobs in Reading

part of a talented team of analysts, scientists, engineers, and developers, working on mission-critical systems that support our global research operations. What You'll Do Develop and deploy machine learning models to detect fraudulent panellists and improve panel quality. Contribute to the full data science lifecycle: hypothesis generation, model development, deployment, and monitoring. Analyse new data sources … to identify opportunities for model enhancement and decision-making improvements. Design and implement feedback loops to drive better data quality and commercial outcomes. Apply supervised and unsupervised learning techniques to build scalable, production-ready solutions. Collaborate with developers to ensure robust, high-availability systems that run 24x7x365. Create and maintain data pipelines and monitoring tools. Communicate technical insights to … experience in fraud detection, anomaly detection, or similar quality assurance domains. Strong proficiency in Python and SQL; experience with R is a plus. Solid understanding of statistical techniques and machine learning algorithms. Experience with cloud platforms and services (AWS, EC2, S3, Redshift, Azure). Familiarity with tools like PowerBI and Excel for stakeholder reporting. Experience in industries with More ❯

to succeed. A progressive organisation where you can really make a difference. We a great opportunity for an AI Security Architect Key Responsibilities: * Develop and implement comprehensive AI/ML security strategies, policies, standards and guidelines to protect organizational assets and ensure the secure operation of AI and ML systems. * Develop and own robust enterprise security architecture for AI/… ML systems, CI/CD and data pipelines. * Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. * Conduct security risk assessments and threat modelling for AI/ML and other business projects performed thorough design reviews and security assessments of architectures and designs, identifying vulnerabilities, threats … and risks, and providing recommendations for effective mitigation measures for common attack vectors and threats. * Support the testing of AI/ML models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. * Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ More ❯

you Experience in the biopharma industry, including expertise in data operations. Business intelligence experience preferable Strong understanding of pharmaceutical data sources and local pharma landscape Proficiency in data modelling, machine learning, and BI tools (e.g. SQL, R, Python; Snowflake preferred) Familiarity with master data management, data governance, and data quality frameworks Demonstrated ability to lead complex data analysis … and transform insight into action Skilled in agile project execution and managing multiple priorities Effective influencer and communicator in a matrixed environment, including with senior leadership Strong strategic thinking, learning agility, and problem-solving mindset Education : Bachelor's degree required (Analytics, Business, or Information Systems preferred); advanced degree desirable Languages : Excellent English written and verbal communication skills Why choose … us? A global healthcare leader focused on scientific innovation with real-world impact A company committed to employee growth through learning, connection, and stretch opportunities An inclusive culture that values diversity and collaboration Access to cutting-edge digital tools and a strong pipeline of transformative medicines Opportunity to drive a high-impact AI programme with visibility at the senior More ❯

Azure Databricks, or Azure Synapse Analytics Experience with data lake and data warehouse architectures Experience building and maintaining data platforms that enable data scientists to work effectively in Azure Machine Learning environments Strong understanding of healthcare data standards (HL7, FHIR, OMOP, SNOMED) and data modelling Knowledge of data governance, data quality, and master data management practices Experience implementing More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

Technical Skills (desirable): Microsoft Azure Data Services (e.g., Azure Data Factory, Synapse, Databricks, Fabric) Data warehousing and lakehouse design ETL/ELT pipelines SQL, Python for data manipulation and machine learning Big Data frameworks (e.g., Hadoop, Spark) Data visualisation (e.g., Power BI) Understanding of statistical analysis and predictive modelling Experience: 5+ years working with Microsoft data platforms 5+ More ❯

related field. Experience with remote sensing technologies and water quality monitoring equipment is desirable. Experience working with government agencies and environmental regulations is desirable. Experience using Artificial Intelligence/Machine Learning to aid interpretation/prediction of water quality is desirable. What's in it for you? Competitive salary from £55,000 to £65,000 per annum, depending More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

tech. Focusing on really exciting and rapidly expanding technology markets including AI, where AI adoption among large companies as grown by nearly 50% since 2018. As well as that; machine learning and data across both the UK and US. Founded by the MD of a world-renowned tech recruitment agency. You would be joining a fresh team with … quickly with performance Industry leading commission scheme - up to 40% commission and no limit on what you can earn A full Career development programme, very clear and structured Onsite Learning and Development Manager focussed on training support Incentive Ski trips to the Alps and holidays to Las Vegas and Barbados! Monthly and Quarterly lunch Clubs to Michelin Starred restaurants More ❯

Tooling, Proactive Monitoring), managing advanced incident detection, threat hunting, and forensic investigations using platforms like Splunk, Defender, and CrowdStrike Collaborate with Security Engineering and Architecture to integrate AI/ML (e.g., Microsoft Copilot) and emerging security tech for real-time response, smarter automation, and enhanced endpoint/cloud visibility across complex environment Build and maintain strategic relationships across Global Business More ❯

Duration: 6 months (with potential for extension) Rate: Inside IR35- Flexible The Role As an AI Security Architect, youll design and implement enterprise-wide security strategies for AI/ML systems, ensuring alignment with best practices, emerging threats, and regulatory requirements. Youll work hands-on and collaboratively with cross-functional teams to embed security into the entire AI/ML … lifecycle from data pipelines to model deployment. Key Responsibilities Architect and implement security controls for AI/ML systems, data pipelines, and CI/CD processes. Conduct security risk assessments and threat modelling on AI/ML workflows. Drive secure coding practices and integrate security into MLOps/DevOps pipelines. Address challenges such as adversarial attacks, data poisoning, and prompt … AI regulations (EU AI Act, NIST AI RMF, GDPR, etc.). Support adversarial testing, model bias assessments, and trustworthiness evaluations. Contribute to training and awareness initiatives on AI/ML security best practices. Act as a key stakeholder in AI-related incident response and mitigation. Your Profile Essential Experience & Skills Proven experience as a Security Architect with direct focus on More ❯