must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark … Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine-tuning, prompt optimization, and monitoring. Architect secure ML/AI systems on Azure, AWS, or GCP . Deploy containerized web apps and ML services using Docker, Kubernetes (AKS/EKS/GKE), Azure Container Apps, ECS , integrated with … CI/CD (GitHub Actions, Azure DevOps, Jenkins). Mentor engineers, enforce best practices, and lead design/architecture reviews. Required Skills & Experience: 5+ years in ML/AI solution development. Recent hands-on experience with Databricks, PySpark, Delta Lake, MLflow . Experience with LLMs (Hugging Face, LangChain, Azure OpenAI) . Strong MLOps, CI/CD, and model monitoring experience. More ❯
Open-AI, Microsoft Copilot Studio, MachineLearning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type: Hybrid/Bedford Daily Rate: £600-£650 (via Umbrella … Work with large datasets for data preprocessing, feature engineering, and model evaluation. Develop and maintain REST APIs and microservices architectures. Monitor, evaluate, and apply governance frameworks for AI/ML models in production environments. Prepare technical documentation and effectively communicate complex concepts to both technical and non-technical stakeholders. Required Skills & Qualifications: Minimum 3 years of experience in AI solution … engineering, specifically in enterprise environments. Demonstrable experience with Microsoft Azure AI services, including AI Foundry and Microsoft Copilot Studio. Proficiency in Python and familiarity with machinelearning frameworks such as TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/ More ❯
architecture from system requirements. Apply a structured approach to firmware design following standards such as RTCA DO-254 or similar. Employ cryptography and anti-tamper techniques. Incorporate Artificial Intelligence, machinelearning, and genetic algorithms into designs. Use various electronics test methods and equipment. Collaborate effectively within mixed discipline teams. Job Requirements: Strong knowledge of FPGA architectures like Xilinx More ❯
Principal Firmware Engineer Luton Paying up to 80p/h (Umbrella) Responsibilities : Artificial Intelligence, including machinelearning and genetic algorithms Auto-generated code using model driven engineering using MATLAB and Simulink tools Design tools such as Xilinx, TCL, Verilog, System Verilog and UVM Derivation of detailed Firmware requirements and architecture from system requirements A structured approach to firmware More ❯