1 to 5 of 5 Permanent MLOps Jobs in the North of England

engineer. Demonstrable experience with python and common modules. Experience leading projects that use data, model and environment versioning and setting up model retraining pipelines (MLOps). A degree in a relevant field. A masters or PhD in a numerical field (maths, physics, computer science etc.) An understanding of software engineering more »

and problem-solving skills Agile methodologies Coaching and mentoring Modern technologies like cloud-native, containers, and serverless Desirable: Knowledge of frontend technologies and frameworks MLOps knowledge What is in it for you? 27 days of annual leave Healthy half (0.5 day leave every 6 months for wellbeing) Study/volunteer more »

We're looking for a Lead Machine Learning Engineer join our Data Engineering team. As the Lead ML Ops Engineer, you will be at the forefront of innovation, leading a small team of skilled engineers to develop and deploy scalable more »

application. These include ingesting and understanding new data sources, evolving our data approach (e.g., to a fully fledged data fabric), implementing containers to streamline MLOps and exploring how we can sensibly and safely utilise artificial intelligence (AI) to turbo charge our work (e.g., smart data quality monitoring, meta data curation … desirable Utilising AI within data engineering to drive performance. Knowledge of implementing, managing and utilising graph databases (e.g., using technologies such as Neo4j). MLOps experience including familiarity with Docker and Kubernetes. Full data engineering cycle knowledge (tools and skills) for stream data. Benefits Competitive salary and rewards package including more »

Senior Product Manager (Data/AI/ML) Location: London or Midlands - Remote Working Salary: £80,000 - £90,000 (plus benefits and bonus target of 20%) We are partnered with a market-leading sports streaming business, whose platforms are visited more »