Hertfordshire, South East, United Kingdom Hybrid / WFH Options
Queen Square Recruitment Limited
Learning ? QSR have an exciting opportunity available for an experienced AI/ML Specialist to join a cutting-edge project, driving innovation through Large Language Models (LLMs), GenAI, and predictive analytics. Key Responsibilities: Design, develop, and deploy AI/ML models, including LLMs and GenAI. Conduct feature engineering, model optimization, and performance tuning. Implement and train supervised, unsupervised, and … out advanced data exploration, analysis, and preprocessing. Deploy scalable models into production, with ongoing monitoring and tuning. Collaborate with cross-functional teams to integrate AI into business applications. Use predictiveanalytics and time series forecasting for data-driven insights. Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in More ❯
Employment Type: Contract
Rate: Unspecified Competitive Day Rate Inside IR35
their 24/7 NOC to deliver world-class network performance and reliability. Drive strategic initiatives aligned with their growth plans. Champion innovation through automation, AI/ML, and predictive analytics. Serve as the executive escalation point for major incidents and crisis management. Collaborate across engineering, service delivery, and commercial teams to ensure operational excellence. Ensure that the maturity More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
translate complex business challenges into data-driven strategies. Explore large datasets to uncover patterns, trends, and actionable insights. Develop prototypes and production-grade models for use cases such as predictiveanalytics, recommendation systems, and NLP applications. Mentor and guide junior data scientists and analysts. Stay up to date with the latest research, tools, and techniques in data science More ❯
from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯
from multiple sources. Collaborate with cross-functional teams and DBAs to ensure seamless data integration and delivery. Analyse and normalise raw infrastructure and monitoring data for reporting, trending, and predictive analytics. Develop and implement automated methods to forecast future capacity requirements using historical data. Support compliance with regulatory standards (including DORA) by providing accurate, transparent, and timely capacity data. More ❯
Start Date: ASAP/June preferred A leading organisation in the housing sector is seeking a contract Head of Data to lead a significant phase of its data and analytics transformation. This is a high-impact role with senior-level visibility and influence. Key Responsibilities: Own and deliver the data strategy, ensuring alignment with business priorities Oversee data governance … quality, and platform development Drive the transition from reactive to predictiveanalytics capabilities Lead and develop both internal and external data teams Establish a framework for AI innovation with the right level of governance Rebuild trust in performance reporting and operational KPIs Key Requirements: Proven leadership experience in senior data roles (Head of Data/Director level) Deep … understanding of the housing or social housing sector (essential) Strong track record in large-scale data transformations Expertise in data strategy, governance, and advanced analytics Experience working in agile, cross-functional environments Strong stakeholder management and communication skills More ❯
data pipelines and ML infrastructure on AWS. You'll collaborate with data scientists, architects, and product teams to deliver production-grade ML systems across a variety of domains — from predictiveanalytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize More ❯