201 to 225 of 603 MLOps Jobs in England

Description Do you want to boost your career and collaborate with expert, talented colleagues to solve and deliver against our clients' most important challenges? We are growing and are looking for people to join our ...

looking for an MLOps Engineer to join our team in London, in a hybrid working mode.In this role, you will build, deploy and maintain production-ready machine learning solutions with a strong focus on MLOps practices including CI/CD, model serving, monitoring and robust cloud infrastructure. You will also … practices for reliability, scalability and cost optimizationRequirementsBachelor’s or Master’s degree in Computer Science, Engineering or related disciplineExperience in delivering machine learning or MLOps systems into production environmentsProficiency in Python for building services, APIs, scripts and CI/CD automationWorking knowledge of modern MLOps stacks including experiment tracking ...

using Python . Architect scalable and resilient cloud infrastructure solutions using AWS/Kubernetes/EKS/ECS . Design and deploy solutions with MLOps best practices . Collaborate with AI experts and internal teams to understand and integrate AI/ML with existing systems. Mentor and guide junior team ...

with practical, shippable outcomes. Creative, experimental, and excited to try new approaches. Nice to have Computer vision experience (in-store analytics, product imagery). MLOps tooling and cloud deployment. #J-18808-Ljbffr ...

products at scale Excellent written and verbal communication; comfortable engaging directly with clients Right to work in the UK Required skills Python PyTorch LLMs MLOps Benefits at SREEYAMSOFT Top-of-market pay with annual reviews and performance bonuses. £2,000/year for certifications, conferences and learning. Modern offices across ...

CD. Knowledge of DevSecOps, SAST and DAST practices. Automation and scripting skills with Bash, Python or Go. Strong communication and stakeholder management skills. Desirable MLOps or LLMOps experience (SageMaker, Kubeflow, ZenML). Prometheus or other observability tooling. AWS Karpenter and Compute Optimizer experience. Knowledge of ISO 27001, NIST or OWASP ...

outputs, assumptions and trade-offs. Good understanding of data engineering, data quality, privacy, ethics and responsible model use. Desirable skills and experience Experience with MLOps, cloud platforms, vector databases, NLP/LLMs or AI-assisted products. Experience mentoring data scientists or setting technical standards within a team. Experience working ...

with practical, shippable outcomes. Creative, experimental, and excited to try new approaches. Nice to have Computer vision experience (in-store analytics, product imagery). MLOps tooling and cloud deployment. To apply Send your CV and anything that shows your work (portfolio, GitHub, projects) to hr@morgansholding.com. #J-18808-Ljbffr ...

CD. Knowledge of DevSecOps, SAST and DAST practices. Automation and scripting skills with Bash, Python or Go. Strong communication and stakeholder management skills. Desirable MLOps or LLMOps experience (SageMaker, Kubeflow, ZenML). Prometheus or other observability tooling. AWS Karpenter and Compute Optimizer experience. Knowledge of ISO 27001, NIST or OWASP ...

Python experience Experience developing and training complex ML models Predictive modelling/predictive Machine Learning experience Experience taking models into production environments Knowledge of MLOps and production ML practices Excellent analytical and problem-solving abilities The ability to take a business problem and independently determine the appropriate technical solution ...

strong technical expertise across infrastructure automation, environment provisioning, deployment pipelines, containerisation, and cloud platform operations. The role will involve close collaboration with Data Engineers, MLOps Engineers, Solution Architects, and wider technical stakeholders to ensure platforms and pipelines are reliable, secure, scalable, auditable, and aligned with enterprise cloud governance standards. ...

infrastructure Desirable attributes Hands-on experience building LLM-based systems Experience testing non-deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary-Exchange Pension Employee Assistance Programme ...

Linux Experience managing artifact repositories and integrating single sign-on Scripting in Bash and Python or Go, and security testing built into pipelines Desirable: MLOps experience, Prometheus-style observability, security frameworks such as ISO 27001, active SC clearance What's On Offer Pension with employer contribution Private healthcare Generous holiday ...

Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute to a collaborative, multidisciplinary environment ...

Hadoop, Synapse) with clear cut-over and reconciliation plans Monitor and optimise DBU consumption and cluster policies, giving the client clear cost visibility Enable MLOps and GenAI use cases where in scope, including MLflow, Model Serving and Genie Act as trusted advisor to client stakeholders, running workshops, design authorities ...

assurance environments (e.g. financial services). An understanding of the latest AI safety research and active involvement in that community. Deep knowledge of modern MLOps practices, CI/CD, and large-scale deployments. A collaborative and supportive work environment The opportunity to have a high impact in a growing organisation ...

heavily regulated environments. Understanding of secure AI adoption, AI governance, and emerging AI security risks. Exposure to Data Science, Machine Learning Engineering, or MLOps environments. What's on Offer: Opportunity to work on cutting-edge AI and Machine Learning initiatives within a prominent financial institution. Long-term programme with strong ...

Strong experience across segmentation, propensity, lifetime value, personalisation or forecasting. Experience with large-scale behavioural, transactional or customer datasets. Understanding of production data science, MLOps and model monitoring. Commercial judgement and the ability to simplify complex technical findings. Desirable Experience providing technical leadership, peer review or coaching to other data ...

techniques to power systems analysis, curtailment modelling, constraint analysis and renewable energy optimisation. Prototype and deploy AI solutions using cloud technologies and modern MLOps practices where appropriate. Produce clear visualisations and technical insights for planning applications, investment decisions and stakeholder reporting. Continuously evaluate emerging AI technologies and identify opportunities ...

reliable, repeatable, and scalable releases of AI systems, models, and data pipelines into production. Establish AI monitoring and observability strategy across InfraOps and MLOps, defining SLAs, SLOs, alerting, and performance/cost tracking, and driving continuous optimization. Integrate AI/ML systems into enterprise environments, ensuring interoperability, security, compliance ...

working within diverse teams. A passion for continuous learning and personal development, with a willingness to explore new ideas and approaches. Familiarity with MLOps (Machine Learning Operations) practices, including the deployment, monitoring, and maintenance of AI/ML models in production environments and experience with cloud platforms and deploying ...

loops, and technologies such as Gemini, Claude and OpenAI APIs. Hands‐on experience with AI tools/frameworks (e.g., Braintrust, AutoEval) and/or MLOps tools (e.g., Airflow, MLflow, Vertex AI, or similar). Solid understanding of data engineering practices, including ETL, batch/streaming pipelines, and data quality monitoring. ...

agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams and manage complex AI projects. Advanced proficiency in Python , MLOps, and software engineering principles. Experience setting technical standards, governance frameworks , and performance benchmarks. Strong consulting mindset with the ability to translate emerging technology into business ...

release processes for ML or other production software systemsExperience deploying, serving and operating machine-learning models in production environments3-7 years’ professional experience in MLOps, ML platform engineering, ML infrastructure, backend engineering, DevOps or SREStrong understanding of observability, monitoring, alerting, incident response and common failure modes in ML systemsStrong production ...

company where our software platform enables trusted AI at scale. Services of the platform include data preprocessing, AI model fine-tuning, inference oversight and MLOps for AI solutions in production. For traditional enterprises that have an aspiration to leverage AI to disrupt their industries but lack the skills or capabilities ...