14 of 14 Permanent MLOps Jobs in the South West

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 ...

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 ...

flows and lifecycle management from ingestion to consumption. Enable Advanced Analytics & ML Partner with the data science and software development teams to establish strong MLOps and DataOps practices. Support geospatial and large‐scale analytical workloads. Ensure data is discoverable, reusable, and fit for experimentation and production ML. Governance & Client Engagement ...

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 ...

performance. Bachelor/Master's/PhD or equivalent experience in Computer Science, Maths, Machine Learning, Data Science, or related field. Desirable Experience with MLOps pipelines, model deployment, or production ML systems. Familiarity with performance analysis, profiling tools, or numerical accuracy validation. Exposure to distributed training or inference systems. Experience ...

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 ...

across both software development and infrastructure. You’ll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data‐driven outcomes. You should also … data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands‐on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/ ...

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 ...

Responsibilities Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data‐driven decision making across the business. ...

NLP PEOPLE is seeking a leader for the Machine Learning Engineering team in Bristol. This hybrid role involves guiding the operation of AI/ML services, ensuring robust governance and stakeholder engagement. The ideal candidate ...