26 to 38 of 38 MLOps Jobs in Manchester

architectural expertise across AWS and Azure, alongside experience with modern data platforms such as Snowflake and Databricks. Experience with AI/ML, MLOps and responsible AI is important, as is the ability to operate confidently with both technical teams and senior business stakeholders. We're looking for someone ...

experiments (A/B testing, causal inference) to validate impact and guide decision making. Cross-functional delivery: Partner closely with Product, Engineering, and MLOps teams to move ideas from prototype into scalable production systems. Mentorship: Support and coach junior data scientists on technical approach, code quality, and best practice, without … function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI ...

agentic technologies, end‐to‐end. Skills and Experience Proven leadership experience in Gen AI delivery Hands‐on technical understanding of modern AI tooling, MLOps, and model deployment and generative/agentic AI frameworks Commercial mindset, experience bringing AI, including generative, use cases into production Strong communication skills and the ability ...

experiments (A/B testing, causal inference) to validate impact and guide decision making. Cross-functional delivery: Partner closely with Product, Engineering, and MLOps teams to move ideas from prototype into scalable production systems. Mentorship: Support and coach junior data scientists on technical approach, code quality, and best practice, without … function approaches tooling, methodology, and model governance. Technical Environment Languages/Tools: Python (NumPy, Pandas, Scikit learn), deep learning frameworks (PyTorch/TensorFlow), SQL. MLOps: MLflow, cloud ML platforms (Azure ML, AWS SageMaker, or Databricks). Focus areas: Predictive modelling, recommender systems/personalisation, and increasingly, applied LLM/GenAI ...

Engineering: Deep prompt engineering & optimization skills for GenAI.Vector DBs & RAG: Designed solutions using vector DBs & Retrieval Augmented GenAI (RAG) for knowledge applications.GenAI ModelOps/MLOps & Governance: GenAI ModelOps/MLOps knowledge with ethical AI governance focus.Multimodal & Code Generation: Architected GenAI for multimodal (vision, audio, language) & code generation.ER&I GenAI Applications ...

prescriptive models for key use cases such as demand forecasting, optimisation, and anomaly detection in infrastructure projects.Establish best practices for model lifecycle management, including MLOps, monitoring, and retraining, ensuring alignment with AECOM’s global standards.Extract actionable insights from complex datasets to inform strategic decisions across infrastructure, environmental, and urban development … urban development sectors.Strong proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL, with experience in geospatial and environmental data analysis.Experience with MLOps tools (MLflow, Docker, CI/CD pipelines) and cloud platforms (Azure preferred), ensuring scalable and reliable solutions.Proven ability to influence non-technical stakeholders and communicate complex ...

lasting impact.At Credera, you will work on diverse client projects, such as building modern, AI-enabled data platforms on AWS using DevOps and MLOps practices, including large, distributed workloads, batch and streaming pipelines, and the data foundations that power machine learning, Generative AI and Large Language Model solutions. Working with … Azure DevOps, Jenkins, CircleCI etc.)Experience building LLM or foundation-model applications using frameworks such as LangChain, vector databases or agentic AI approachesExperience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI servicesExperience with data reporting and visualisation tools (Power BI, Tableau, Qlik etc.)Experience ...

test and deploy machine learning models, analytical pipelines and data science components that are robust, scalable and maintainable.Support the operationalisation of ML solutions through MLOps practices, including model monitoring, versioning, automated testing, CI/CD and performance optimisation.Apply responsible AI, model explainability, security, privacy and governance considerations throughout the development … PyTorch, TensorFlow or equivalent.Experience across the end-to-end ML lifecycle, including data preparation, feature engineering, model development, validation, deployment, monitoring and optimisation.Understanding of MLOps and production ML practices, including CI/CD, model versioning, automated testing, retraining, monitoring and reproducible delivery.Experience using cloud platforms and data science environments such ...

collaborate across teams to enhance CI/CD, observability, and security. You’ll mentor colleagues, influence cloud patterns, and partner with Security, MLOps, and Product Engineering to deliver scalable, compliant systems. #J-18808-Ljbffr ...

Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will … Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. ...

expert driving innovation and market-leading practices across multiple clients and industries- Strong understanding of cloud-centric solution design, the full data lifecycle, and MLOps/AIOps- Experience mentoring engineers and architects, building capability in junior team members and client counterparts- You will be required to hold active SC clearance … healthcare orsimilar)- Experience with modern data warehouse and lakehouse ecosystems (Redshift, Snowflake, Databricks, BigQuery, Synapse)- Familiarity with SQL and Python or Java- Experience with MLOps and Infrastructure as Code (Terraform, CloudFormation etc.) for data, analytics and AI services- Strong understanding of CI/CD and modern approaches ...

Role: Head of Data Engineering Location: Manchesterbased office – Hybrid working Package: £90k OTE PHMG is continuing to develop and mature its data capability, focusing on modernising our data platform and enhancing the way we work. ...

improving performance, cost efficiency, and security posture Mentor and guide team members, fostering a culture of technical excellence and continuous learning Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems Define agentic patterns to inflect the way we build, deploy, and observe cloud infrastructure … improving performance, cost efficiency, and security posture Mentor and guide team members, fostering a culture of technical excellence and continuous learning Partner with Security, MLOps, and Product Engineering teams to deliver scalable, resilient, and compliant systems Define agentic patterns to inflect the way we build, deploy, and observe cloud infrastructure ...