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Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

We’re expanding our engineering team and hiring a Senior Python Software Engineer to help own and develop an established trading-related application. The system runs in production, processes high-frequency real-time data, and needs careful performance engineering and disciplined testing to keep latency and reliability where they should be. You’ll take meaningful ownership day-to-day, partnering closely with the founder and the engineering team to prioritise work, ship improvements quickly, and keep the system fast, reliable, and correct. Location: UK-based preferred Working style: Mostly remote, occasional in-person days for planning/coordination Support: Availability during core market hours when needed What You’ll Do • Own and improve a production Python codebase that runs during market hours., • Build and optimise real-time data pipelines (throughput, p50/p99 latency, jitter)., • Do profiling-driven performance work across ingestion → compute → messaging → consumers., • Improve reliability: freshness/staleness handling, safe degradation, back pressure, fault isolation., • Strengthen “developer leverage”: replay/simulation tools, regression tests, and debugging tooling., • Work with cloud infrastructure, deployment, monitoring, and incident response., • Collaborate directly with the founder and engineering team on architecture and roadmap. Essential Skills • 5+ years professional Python experience; you’ve shipped and owned production systems., • Built/owned a real-time / low-latency system (not batch ETL) with measurable performance goals., • Strong understanding of async + multiprocessing tradeoffs and performance profiling., • Comfortable owning an existing codebase: refactors, tests, architecture improvements., • Experience with messaging / event-driven systems and strong API/schema discipline., • Production ownership mindset: incidents, monitoring, and fast debugging when it matters., • UK-based preferred and able to support core market hours when required. Desirable Skills • Experience with trading, market data, or execution systems., • Familiarity with Interactive Brokers TWS or other brokerage APIs, • Experience designing safety constraints/guardrails in automated systems. What We Offer • Competitive salary (negotiable) + performance-related bonus., • Mostly remote, with some in-office collaboration days for coordination and planning, • Lean environment, direct impact on a live system., • High ownership and influence over system design and roadmap.

Precision for Medicine is hiring a Medical Director/Senior Medical Director – Oncology to join our global team! candidates can work remotely in any of the following locations: UK, Poland, Hungary, Romania, Serbia or Slovakia. Position Summary The Medical Director serves as the project physician and provides medical and scientific expertise to project teams. The Medical Director’s primary focus of work will be to ensure the accuracy and integrity of the data resulting from the trial, with concentrated focus on patient safety. This position also participates in the strategic planning and execution of critical development programs for a variety of clients in Oncology/Haematology contributes to the development of Precision’s Medical team and supports Business Development activities. Essential functions of the job include but are not limited to: • Work closely with senior leaders in Medical, Operational Strategy, and Business Development to support client engagement., • Support Business Development and Proposals teams by participating in the RFP process; prepare medical considerations section for proposals; and support or participate in bid defense meetings., • Write or edit scientific content of deliverables within budget and timelines., • Collaborates with Regulatory Affairs on regulatory product landscape and strategies as a part of overall drug development strategy., • Provide scientific insight and create content for specified company releases (e.g., white papers and publication manuscripts)., • Review and revise protocols, case report forms, training materials, project specific tools, analysis plans, study designs, clinical trial reports and new drug applications., • Review laboratory values, adverse events, coded adverse event and medication data, and data tables, listings and figures as needed., • Serve as a medical resource for study sites, the project team and clients., • Assist in the preparation of the Medical Monitoring Plan and materials for investigator meetings and staff training sessions., • Assume responsibility for medical and safety monitoring on assigned projects., • Participate in feasibility discussions relating to specific project proposals., • Develop training modules and provide training concentrating on disease states., • Participate in process improvement activities., • Collaborate with Vice President, Global Medical and other members of the Medical Science Department to support growth and development activities globally. Qualifications Minimum Required: • MD, DO, MBBS, or equivalent medical qualifications., • 5+ years of Oncology clinical experience., • Ability to strategically analyze oncology clinical trial protocols., • Availability for domestic and international travel including overnight stays (approximate 30% travel requirement). Preferred • Experience working as a Medical Director for a CRO or Pharmaceutical company., • Oncology Fellowship or equivalent., • Maintains current scientific and medical knowledge base. Skills/Competencies • Ability to deliver on commitments; understands the service culture., • Strategic thinker who can build strategic drug development solutions associated with novel development programs, study designs, and patient populations., • Demonstrates a high degree of professionalism, as evidenced by punctuality, positive interactions with customers and teammates, including good interpersonal skills., • Communicate effectively in the English language both verbally and in a written form., • Conduct formal presentations to a wide variety of audiences including colleagues., • Strong visual and presentation skills., • Ability to work effectively in a fast-pacing team setting, with minimal supervision., • Proven efficiency in working remotely. Precision for Medicine is the first global precision medicine clinical research services organization, purpose-built to improve the clinical research and development process for new therapeutics. Our novel approach integrates clinical operations excellence, with laboratory expertise, and advanced data sciences to inform every step. We apply our expertise to trials at all stages—from early development through approval—with embedded experience in oncology and rare disease. Any data provided as a part of this application will be stored in accordance with our ___ For CA applicants, please also refer to our ___. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at . It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Identify equipment requirements for PI integration.Alarms management requirement gathering.Assisting in creating and implementing Global integration standards.Contributing to regular Agile planning and deliverables.Creation, qualification and implementation of Asset Framework (AF) & Event Frame

We are looking for an experienced Senior Machine Learning Engineer to lead the design and production integration of ML into an established live trading system and drive its next phase of development. Building on our early ML research and prototypes, you will design, build, deploy, and operate production ML components that integrate directly with a real-time execution engine – improving decision-making and execution quality with measurable financial impact. This is an excellent opportunity for someone who enjoys autonomy, technical responsibility, and building production-grade ML systems where reliability, latency, and real-world feedback loops matter. What You’ll Do • Lead the design and production integration of ML components into a live, Python-based trading system, • Take early ML research/prototypes and turn them into reliable production models and services, • Build robust training and evaluation pipelines with safeguards against leakage, non-stationarity, and drift, • Develop real-time inference components with clear fail-safes, fallbacks, and graceful degradation, • Create monitoring and observability for production ML (model performance, drift detection, alerts, rollback plans), • Work with high-frequency market data: missing data, late arrivals, outliers, regime shifts, and noisy signals, • Collaborate directly with the Head Trader to translate strategy goals into ML objectives and measurable outcomes, • Partner closely with software engineers on integration, deployment, performance, and operational reliability, • Troubleshoot and resolve production issues quickly during key market hours when needed Essential Skills • Strong Python developer (min. 5+ years professional Python experience), • Demonstrable experience taking ML models from prototype to production (deployment, monitoring, and ongoing operation), • Strong understanding of validation pitfalls (e.g., leakage), time-series/non-stationary dynamics, and model drift, • Experience building end-to-end ML workflows: data ingestion/cleaning, feature engineering, training pipelines, model serving/inference, • Ability to design for reliability: monitoring, alerting, safe deployment, rollback strategies, and incident response, • Comfortable owning and improving an evolving codebase: refactors, architecture improvements, reproducibility, and clean tests, • Strong engineering discipline: correctness, edge cases, careful time-handling, attention to detail, • Comfortable working independently, making architectural decisions, and maintaining high code quality, • UK-based and available for support during core market hours when needed Desirable Skills • Experience with real-time/low-latency systems (streaming data, telemetry, market data, etc.), • Familiarity with production ML monitoring/observability practices and tooling, • Experience with cloud deployment environments (VMs/containers, monitoring, CI/CD), • Background in financial markets, algorithmic trading, or market microstructure (helpful, not required), • Experience with distributed systems, message queues, or event-driven architectures What We Offer • Competitive salary – negotiable based on experience, • Mostly remote, with some in-office collaboration days for coordination and planning, • Yearly bonus based on company performance, • The chance to take significant ownership of production Machine Learning in a live system, • Long-term role with the opportunity to influence the Machine Learning roadmap and system design, • A lean environment with minimal bureaucracy and direct impact

Youll be involved in all aspects of event planning and delivery, incorporating xsabvtc Event Management, Event Production, Stakeholder Engagement, Budgetary Planning, Gue. As Event Manager you will lead on the delivery of the flagship Awards events for a dynamic media company, catering for an exciti

Candidates should have excellent organizational skills, experience in event management, strong communication abilities, and a passion for supporting co-operative values. A values-driven organization is seeking a Co-operative Development Officer in Manchester. This part-time role involves planning an

Manchester City is looking for a System Product Administrator to play a key role in delivering matchday and non-matchday products to fans through our ticketing and membership systems. System Administrator, Event Planning, Product Manager, Technology, Hospitality, Operations. Confidence managing syst

Experience in virtual events, outdoor events and/or large-scale events is a plus. Manage all aspects of event productions, including pre-production logistics planning, vendor selection, hiring, onsite execution, as well as post-event wrap-up. You have a successful track record of production manageme

No previous experience required, making this opportunity suitable for those at entry-level seeking to start a career in event management. An events services company is seeking a full-time Event Project Manager to oversee the end-to-end logistical planning and execution of various events in Mancheste

Event Project Manager – Manchester, United Kingdom. We are seeking a full‑time Event Project Manager to join our team in Manchester. This on‑site role involves overseeing the end‑to‑end event logistical planning, organization, and execution of various events.

Marketing,Catering,Organizational skills,Hospitality Experience,Management Experience,HubSpot,Event Planning,Events Management,Project Management,Event Marketing,Leadership Experience,negotiation. We are seeking Event Managers to join our on site events team to assist and manage Fever Originals flag

A leading events company in London seeks an Event Associate to manage supplier relationships and coordinate event logistics. The ideal candidate will hold a Bachelor's degree and have experience in event planning, with strong organizational and negotiation skills. This full-time position requires a

A leading event management platform is seeking an Event Manager to help expand its services in the UK. This remote role requires extensive experience in corporate event planning and strong communication skills to interact with clients effectively. Responsibilities include advising clients, managing

A leading event management platform is seeking an Event Manager to help expand its services in the UK. This remote role requires extensive experience in corporate event planning and strong communication skills to interact with clients effectively. Responsibilities include advising clients, managing