Month Contract (Somerset, Hybrid) 📍 Location: Commutable from Bristol (Somerset) - Hybrid ⏳ Contract: 12 Months 💰 Day Rate: Competitive - Inside IR35 🏢 Industry: Government Defence | Data | AI & MachineLearning 🔐 Security Clearance: Active SC clearance preferred but not essential—candidates must be eligible for clearance . The Opportunity Our client, a … and data science strategy. This high-impact role will lead a team of data scientists and work closely with senior stakeholders to operationalise machinelearning , enhance automation, and ensure responsible AI governance. This is an exciting opportunity to shape the future of AI and data science … date with industry advancements and emerging AI applications. 🔹 Collaborate with external partners, including other government agencies and industry bodies. 🔹 Provide technical leadership on machinelearning deployment, MLOps, and model performance monitoring . Key Requirements ✅ Expertise in Data Science & MachineLearning , including supervised More ❯
Bristol, Avon, South West, United Kingdom Hybrid / WFH Options
Bright Purple Resourcing
extraordinary staff retention and longevity, andare responsible for one of Europes most innovative data science healthcare platforms. Their Azure-hosted machinelearning platform fosters R+D and collaboration between people from all areas of healthcare, across the globe. It underpins ground-breaking research into … To be considered you will have experience in: Python - this team works predominantly in Python JavaScript Python - APIs built in Python Cloud Computing (Azure) Kubernetes Linux/Unix Ruby - preference for those with knowledge of Ruby Their process is well-regarded and provides a two-way street More ❯
Bristol, Gloucestershire, United Kingdom Hybrid / WFH Options
Lloyds Bank plc
continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machinelearning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle: training, validation, deployment, and monitoring. Ability to assess and …/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , AzureML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software More ❯