5 of 5 Contract Predictive Analytics Jobs in England

opportunity is available for experienced Splunk ITSI Experts to join a high-performing team on a long-term contract. This role will focus on delivering advanced observability solutions, enabling predictive analytics, business impact insights, and proactive incident management across enterprise environments. Job Responsibilities/Objectives: As a Splunk ITSI Expert, you will be responsible for the design, development … metrics, logs, traces, time series topology, and AI/ML model integration. Building and maintaining comprehensive dashboards, alerts, and root cause analysis frameworks. Conducting business impact analysis and delivering predictive and preventative insights for IT services. Integrating observability tools and data with ITSM processes such as ITIL and ServiceNow. Ensuring solutions are scalable, resilient, and provide accurate performance insights. … technical details into business language. Desirable Skills/Experience: Proficiency in Python, Shell Scripting, or Perl. Experience applying AI/ML models to observability and operational data. Background in predictive analytics and preventative IT operations. Experience working in complex enterprise environments. If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word More ❯

for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components … or Vertex AI Pipelines) Model versioning, monitoring, and governance Enable high-impact AdTech use cases including: Marketing Mix Modeling (MMM) Real-time personalization and bidding Audience segmentation and targeting Predictive analytics for campaign performance Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time More ❯

for a brand-new MLOps platform, built from the ground up to support scalable, secure, and efficient ML model development, deployment, and monitoring. Work closely with data science, engineering, analytics, and AdOps teams to understand current workflows and identify opportunities to streamline and automate the ML lifecycle. Assess existing data, analytics, and infrastructure frameworks to identify reusable components … AI Pipelines). Model versioning, monitoring, and governance. Enable high-impact AdTech use cases including: Marketing Mix Modelling (MMM). Real-time personalisation and bidding. Audience segmentation and targeting. Predictive analytics for campaign performance. Ensure seamless integration with Order Management Systems (OMS), Customer Data Platforms (CDPs), Data Warehouses (e.g., BigQuery), and custom BI tools to support real-time More ❯

languages and technologies, with a strong emphasis on AI engineering, while having less focus on robotics. Hands-on experience with advanced technologies like large language models (LLMs), computer vision, predictive analytics, and data science. Candidate should be an idea or concept developer with a strong background in innovation, particularly in POC development and research, rather than a product More ❯

capabilities between systems (eg, BACnet, Modbus, MQTT, APIs). Evaluate technical feasibility of proposed upgrades or new digital interventions. Identify opportunities and constraints in current systems for energy optimisation, predictive maintenance, or advanced analytics. Work with cross-functional teams to gather insights and validate findings. Key Deliverables Infrastructure and systems map (BMS, IoT devices, protocols, data flows) Technical systems … to produce clear technical documentation , maps, and impact assessments Good stakeholder communication skills across technical and non-technical audiences Desirable Experience in smart buildings, digital twin, or advanced BMS analytics platforms Familiarity with cloud-based BMS or IoT platforms (eg, Niagara, Azure IoT, AWS IoT, etc.) Understanding of cybersecurity in building systems Knowledge of energy efficiency, ESG, or sustainability More ❯