Production planning jobs in SheffieldCrear alertas

Applied AI Engineer Adema AI – Real Estate & Planning Intelligence 📍 London / Hybrid / Remote (UK & EU) About Adema AI Adema AI is one of the fastest-growing AI startups in the UK, with a rapidly expanding and active user base across development, planning, investment, and advisory. We are building a deep, AI-native intelligence platform for the built environment — combining LLMs, graph-based machine learning, spatial analytics, and planning data to power real-world decision-making. What you see live today is only part of the picture. Alongside the existing platform, we are building multiple advanced intelligence tools, including recommendation engines, spatial reasoning systems, planning-risk analysis, and decision automation — while refining and outperforming existing market tools, not replicating them. 👉 Platform overview: The Role We’re hiring an Applied AI Engineer to help scale Adema’s intelligence layer as adoption accelerates. This is a core technical role. You’ll be working on production AI systems already in use, while helping design and deploy the next generation of models, pipelines, and services that will define the platform. You’ll work directly with the founding and AI leadership team and have real influence over architecture, tooling, and technical direction. What You’ll Be Working On • Production MLOps pipelines for training, evaluation, and deployment, • LLM-powered workflows for planning, site intelligence, and decision support, • Graph-based ML models linking spatial, regulatory, demographic, and market data, • A growing recommendation engine and inference services (separate ML services, not monoliths), • Advanced geospatial intelligence: accessibility, constraints, clustering, and market gap analysis, • Microservice APIs (FastAPI or similar) connecting data, ML inference, and product, • Cloud-native AI infrastructure across Azure / GCP / AWS, • Continuous refinement of existing tools and replacement of legacy approaches with AI-first systems This is not a research-only role — everything you build is designed to ship and scale. What We’re Looking For Core Requirements • Strong Python experience across data engineering and machine learning, • Experience deploying ML models into production environments, • Hands-on experience with LLMs / applied NLP, • Strong SQL skills and experience with structured & semi-structured data, • Experience with FastAPI, REST APIs, and microservices, • Cloud experience (Azure, GCP, or AWS), • Familiarity with CI/CD and modern DevOps workflows Highly Desirable • Graph data, network analysis, or GNNs, • Spatial / geospatial data experience, • Containerisation (Docker / Podman) Equity & Upside • Warrants are available for the right candidate, • This role offers real upside, aligned with platform growth and adoption, • Early impact, genuine ownership, and exposure to product, commercial, and strategic decisions Why Join Adema AI • One of the fastest-growing AI startups in the UK, • Rapidly expanding real-world user base — your work is used immediately, • Build serious AI infrastructure, not slideware or demos, • Direct access to founders and decision-makers, • Solve complex, meaningful problems at the intersection of AI, planning, and real estate, • High-autonomy, high-trust engineering culture Who This Is For You’ll thrive here if you: • Want to build AI systems that ship and scale, • Enjoy working across data, ML, and infrastructure, • Care about architectural quality and long-term leverage, • Want upside, responsibility, and pace — not corporate drag

We are seeking a Development Manager to lead a forward thinking team, exploring innovative and proven practices and technologies which enable Hutchinsons to deliver exceptional agronomic advice. Ranging across agronomic inputs, technology, crop production techniques, genetics and broader agronomy concepts, the Development team support our Advisors to provide industry leading advice to their customers. About the Role As Development Manager, you will lead on projects that underpin our technical strategies, ensuring our Advisors have the confidence and evidence they need in their roles. You’ll work closely with internal and external stakeholders to ensure that we continue to innovate, robustly trial new products and technologies and communicate findings effectively. Key Responsibilities • Lead and Manage: Inspire and guide the Development team to deliver high-quality trials and outputs on time and to the highest standards. Oversee the team in the planning, monitoring, and reporting of trials on agronomic inputs, crop protection, nutrition, biostimulants, and technology innovations., • Building and Managing Relationships: Build strong relationships with internal stakeholders to ensure the team priorities and business objectives are aligned. Maintain and develop partnerships with external stakeholders to ensure Hutchinsons remain at the forefront of access to new chemistry, technology and other innovations., • Collaboration: Work with technical, commercial, and services teams, as well as external partners; input suppliers, supply chain, technology opportunities and breeders., • Innovation Projects: Drive engagement with Regional Trials Centres, Helix farms, and Novafield initiatives to evaluate new technologies and opportunities., • Financial Management: Report to the Board on costs and ensure that budgets are utilised effectively. What We’re Looking For • Strong technical understanding of UK agronomy with a desire to be at the forefront of market innovations with the confidence to support and challenge current agronomic practices., • Proven leadership and team management experience., • Excellent communication and relationship-building skills., • Ability to manage multiple projects and collaborate across diverse teams.

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.

A technology company in the United Kingdom is seeking a Software Engineer for its macOS team.This position offers an opportunity to lead engineering decisions, ship production-quality code, and contribute to product planning in a fast-paced environment.The ideal candidate will have experience with m

This role sits within our Planning team and collaborates closely with Procurement, Production, Sales, and Logistics to ensure smooth end-to-end operations.

Proven experience in production management & planning as well as MRP/ERP systems. Oversee daily production planning and scheduling to meet customer demand. Optimise inventory, lead times, and planning parameters through data analysis.

Production Planning Team Leader page is loaded## Production Planning Team Leaderlocations: UK - Duxfordtime type: Full timeposted on: Posted Todayjob requisition id: J-019236Job Description:Role Overview:As a Planning Team Leader, you will play a pivotal role in ensuring smooth p

SAP Production Planning (PP) and Production. SAP Production Planning (PP) and Production Execution (PE). Strong configuration experience with Routing/BOMs, Production Orders, Capacity Planning, Demand Management, and MRP.

A leading manufacturing firm in West Yorkshire is looking for a skilled Planning Lead to oversee the Planning and Production Control function. The successful candidate will create production schedules, manage workload, and ensure timely delivery of information.

The individual in this role will report directly to the Production Manager and be responsible for the production planning team and the tool management/administration. Provide inputs to the wider production team (Manufacturing Engineers, Production Planning, Logistics or Quality) as required. Support

Tenthpin is seeking talented, client-facing, and collaborative SAP Manufacturing/Production Planning (PP-PI) Consultants to join our growing team. Execute the build, testing, and deployment phases, emphasizing Life Science best practices and SAP S/4HANA Supply Chain – Manufacturing and Production

A major global sugar refining group is seeking a Supply Planner to manage production and scheduling in a fast-paced environment. Experience in planning within FMCG is a must.

A key client in the manufacturing sector is seeking an experienced Production & Planning Manager to lead a small production and planning team. Responsibilities include overseeing daily production scheduling, managing team workload, and coordinating with various departments to ensure efficient operat

A leading aerospace company in the UK is seeking a Production Planner to oversee production scheduling and planning. Responsibilities include managing the master production schedule, coordinating with procurement, and ensuring production metrics are reported to management.

A global consumer goods company based in the UK is seeking a skilled Supply Planner to take ownership of in-house supply planning. Responsibilities include coordinating production plans, managing stock positions, and supporting new product launches.

Key responsibilities include guiding clients on SAP S/4HANA for Production Planning and designing integrated manufacturing processes.

This role involves managing the production planning team and overseeing CNC programs and tools. A defense engineering company is seeking a Team Leader for their new production site in Telford, England.

Solid in-bound logistics planning & production experience. The Director of International Supply Chain is the focal point for all planning, production, logistics and compliance related activities. You will oversee the International Production team to ensure production orders are placed on calendar, p

A leading chemical manufacturer in the UK is seeking a Production Planning Team Leader to ensure effective production planning in their facilities. Ideal candidates should have a degree in Supply Chain or Engineering and proven experience in production planning, along with strong SAP and Excel skill