13 of 13 Permanent MLOps Jobs in the South West

Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions. Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative ...

Prefect. Data Quality and Lineage Familiarity with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications in containerised ...

internal stakeholders. Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices. Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment. Experience of appropriate version control and environment management (such as venvs or Docker). Experience of writing technical project ...

analytical and conceptual skills, strong customer focus and mental agility with a results orientation Sound understanding of GenAI solution constructs e.g., LLMs, RAG, Guardrails, MLOps and multi-modality Experience managing and executing data science and AI projects, from ideation to deployment, while ensuring alignment with business objectives and delivering impactful ...

Learning Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing ...

Computer Science, Machine Learning, or a related technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. ...

areas, and encourage anyone with the experience listed above to apply. We would particularly like to encourage applicants with experience in the following areas: MLOps: including tools like LangChain for application development and managing the ML lifecycle Data Engineering: including platforms like Databricks for data processing and analytics DevSecOps & DevOps ...

development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment techniques across the team. Take hands-on ownership of big projects, working with a large, event-based data set. Research ...

hypothesis development, testing and evaluation Transition successful models from proof of concept into production environments Develop scalable ML pipelines using AWS cloud technologies Implement MLOps and LLMOps best practices for deployment, monitoring and governance Support feature engineering, model optimisation and performance monitoring Apply responsible AI principles, including model explainability … Python Experience with frameworks such as PyTorch, TensorFlow, Scikit-learn or XGBoost Knowledge of AWS cloud services including SageMaker, Lambda and S3 Experience with MLOps tools such as MLflow, Weights & Biases or Data Version Control Experience designing, testing and evaluating machine learning experiments Knowledge of Generative AI, LLMs, prompt engineering ...

Principal AI Engineer to play a pivotal role in shaping the future of their AI platform. This is not an infrastructure or MLOps-focused role. They're looking for experienced AI builders who have designed, developed and shipped AI products in commercial environments and are passionate about solving complex problems ...

Mathematics or Data Science Commercial experience delivering ML solutions Good Python skills In depth knowledge of AI/ML Experience developing ML pipelines with MLOps Cloud & Linux experience would be beneficial but not essential Security Clearance Eligibility for Security Clearance is required for this role Apply To apply, follow ...

inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. MLOps Engineer (SC Clearance) Position Description At CGI, you will play a pivotal role in enabling the deployment and operation of advanced AI systems that support critical … bringing innovative approaches to platform engineering while being supported by experienced colleagues and a collaborative culture focused on continuous improvement. •Design & Deliver secure, scalable MLOps platforms for production environments •Build & Optimise air-gapped machine learning pipelines and workflows •Deploy & Manage LLM inference clusters and AI model hosting platforms •Implement & Enhance ...

will develop, test, deploy, and enhance platform capabilities, resolve issues within existing analytics services, and provide hands-on engineering support to Data Scientists and MLOps teams working across a range of technologies. You will operate in a dynamic environment with varied and sometimes unfamiliar technical challenges, requiring strong problem-solving … lifecycle. Design, develop, test, and deployment of a new analytic hosting platform. Bugfixes and feature requests for existing mission facing analytics. Engineering support to MLOps engineers and Data Scientists. These are unpredictable and highly variable requirements, potentially using unfamiliar technology, so a flexible style is required. In this role ...