5 Manufacturing jobs

AI Engineer – Contract Location: Manchester – occasional onsite (maximum 1–2 days every 2 weeks) Rate: £650–£725 per day, depending on experience IR35: Outside IR35 Duration: Initial contract Start: ASAP – ideally by next Monday Working pattern: Initially 3 days per week We’re looking for an experienced AI Engineer to join an exciting project delivering complex AI solutions. This is an urgent requirement for someone who can start immediately and has a strong combination of Databricks, Machine Learning and modern Agentic AI experience . Key Skills & Experience Strong hands-on Databricks experience Proven experience working with MLflow Strong understanding and practical experience of Agentic AI / AI Agents 3–5+ years’ experience delivering complex AI and Machine Learning solutions Strong software engineering and problem-solving skills Experience taking AI/ML solutions from development through to production Comfortable working with modern AI/ML...

Machine Learning Developer Contract outside IR35 Remote (UK) Circa £500 per a day outside IR35 A world-renowned brand is looking for a hands-on Machine Learning Developer to join its ML team on a contract basis. You'll build models for valuation, client lifetime value, recommendations and personalisation, and image understanding. You'll own each model from end to end: exploring the data, building and validating the model, and turning it into a production service that developer teams across the business rely on. The stack is Databricks and Azure. The team cares a lot about reproducibility, so clean experiment tracking and versioning are part of the job, not an afterthought. This is a hands-on modelling role, not a team lead position. We're open on seniority. Practical experience in the areas below matters more than years in the industry. What you'll bring Strong Python and the standard modelling and analysis stack Hands-on experience with classical...

The Opportunity ShareForce is seeking an experienced, hands-on Data Science Lead on a contract basis to take ownership of four established predictive models and lead the transition of data science capability from a specialist external partner into the internal team. This is a delivery-focused role with a clear mandate: establish internal ownership of the models, complete the transfer of technical knowledge and capability, strengthen model management and governance, and leave behind a robust and sustainable data science operating model. Combining deep technical expertise with strong leadership, you will work across a Microsoft Azure and Databricks environment, remaining close to the data and models while providing direction and assurance to senior stakeholders. Key Responsibilities Take end-to-end ownership of four predictive models, covering development, validation, deployment, monitoring, documentation and optimisation. Lead the transfer of technical knowledge,...

Lead deployment of Digital Technology Lifecycle Solutions (DTLS) and digital manufacturing capabilities. Develop and deploy GMP-compliant digital recipes , manufacturing instructions, BOMs and MBRs for biologics manufacturing. Configure process, material, equipment and sample data objects for digital execution. Design and deploy Factory Integration Layer (FIL) connectors for OT/IT and manufacturing system integrations. Lead data modeling, mapping and contextualization aligned with ISA-95 / ISA-88 . Ensure data integrity, traceability, scalability and reliable data exchange across systems. Lead testing, validation and qualification , including GMP, CSV, change control and regulatory compliance. Develop integration specifications, workflows, SOPs and validation documentation. Partner with Manufacturing, MSAT, Engineering, Quality, R&D and Digital/IT teams on requirements and solution delivery. Drive standardization, reusable digital assets and continuous...

Design and implement industrial data models aligned with ISA-95 / ISA-88 standards. Develop OT/IT integration solutions using MQTT, Sparkplug B and OPC-UA . Integrate manufacturing systems including MES, SCADA and Historians . Build and maintain Industrial IoT data pipelines and Unified Namespace (UNS) architecture. Contextualize industrial data using HighByte Intelligence Hub . Ensure strong data governance, quality, accessibility and interoperability . Develop standardized documentation, integration standards and reusable deployment assets. Troubleshoot integration and data-quality issues and drive continuous improvement. Work closely with business, manufacturing, engineering and technology stakeholders. Mandatory Skills Industrial Data Modeling | OT/IT Integration | MQTT & Sparkplug B | OPC-UA | MES/SCADA/Historian | HighByte Intelligence Hub | ISA-95/ISA-88 | Industrial IoT | Data Governance & Quality | Stakeholder Management