301 to 325 of 747 MLOps Jobs in England

including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management.Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly … practical implementation of model development and deployment.Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches.Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure ...

including machine learning models, data pipelines and application components that are secure, reliable and performant.Drive the operationalisation of AI solutions using modern engineering and MLOps practices, including CI/CD, model monitoring, testing and lifecycle management.Ensure solutions are developed in line with security, privacy, governance and responsible AI requirements, particularly … practical implementation of model development and deployment.Working knowledge of Generative AI, including large language models, prompt engineering, retrieval-augmented generation and evaluation approaches.Experience with MLOps and modern engineering practices, including CI/CD pipelines, model versioning, monitoring and automated testing.Experience deploying AI solutions on cloud platforms such as Azure ...

Senior MLOps EngineerSalary: 70,000 to 100,000, depending on experienceLocation: West LondonWorking arrangement: Predominantly office and customer-site based, with some remote working availableEmployment: Permanent, full-timeMFK Recruitment is recruiting a Senior MLOps Engineer for an innovative UK technology company developing advanced Artificial Intelligence and Machine Learning solutions … five years, and all four are still with the business. This speaks volumes about the company’s culture, technical challenges and long-term opportunities.Senior MLOps Engineer roleThe Senior MLOps Engineer will develop and improve the infrastructure that takes advanced AI and computer vision models from research through to reliable production ...

Head of Engineering and Technical Architect Cloud & Platform Integration: Partner closely with our GCP and Data Engineering teams to build seamless LLMOps/MLOps CI/CD pipelines, ensuring scalable and cost-effective model deployment via Vertex AI and containerized environments. Take ownership of building and maintaining robust LLMOps pipelines. … data warehouse architectures. Hands-on experience with Google Cloud Platform (GCP) services including Vertex AI, BigQuery, Cloud SQL, and Google Cloud Storage (GCS). MLOps/LLMOps Pipelines: Proven track record of architecting pipelines for model deployment, performance tracking, hyperparameter tuning, and containerized workflows using Docker and Kubernetes (GKE/ ...

scale representation learning techniques. Experience working with distributed computing environments, large datasets, and scalable training or inference systems. Knowledge of cloud platforms and modern MLOps practices. Excellent communication skills with the ability to work effectively across technical and non-technical teams. Pragmatic approach to balancing engineering excellence with business outcomes. ...

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 ...

that actually make it into production. We're supporting a major financial services organisation as they build a brand-new enterprise Data Platform and MLOps capability . This is a rare opportunity to join at an early stage and play a key role in shaping how Data Science is delivered ...

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 ...

large language models and AI-assisted engineering. Excellent communication, facilitation and stakeholder-management skills. Desirable Platform engineering, Kubernetes or internal developer platforms. AI platforms, MLOps, prompt engineering or agentic workflows. AI governance and responsible AI adoption. Public-sector digital delivery or technology modernisation experience. Please apply today to be considered ...

enterprise cloud migrations and multi-region deployments. Exposure to SRE concepts. Experience with GitHub Actions, Jenkins, GitLab CI/CD or Bamboo. Knowledge of MLOps, Databricks, Snowflake, Kafka/Event Streaming, Ansible or Chef. Knowledge of FinOps and Azure cost optimisation. Experience working within BFSI environments with security and compliance ...

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 ...

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 ...

SQLDelta Live Tables (DLT)Unity Catalog implementation and governanceDatabricks WorkflowsDatabricks Asset Bundles (DABs)Databricks Solution AcceleratorsMetadata-Driven Ingestion and Orchestration FrameworksMLflow, Feature Store and MLOps FrameworksAzure Data Platform (ADLS, Azure Data Factory, Synapse, Databricks)Azure DevOps, CI/CD and Infrastructure as CodeEnterprise Data Governance, Data Quality and Data Lineage ...

apply AI 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 to improve ...

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 ...

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. ...

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 ...

observability.Partner with Product, Architecture, and ML Research teams to prioritise and scope work.Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation.Set and enforce DevOps and SecOps standards across the team's services and pipelines.Coordinate cross-team dependencies and contribute to roadmap planning.Requirements7+ years in backend ...

Partner with Product, Architecture, and ML Research teams to prioritise and scope work. Foster a culture of modern AI development practices, including LLM tooling, MLOps, and automation. Set and enforce DevOps and SecOps standards across the team's services and pipelines. Coordinate cross-team dependencies and contribute to roadmap planning. ...

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 ...

related technical discipline. Minimum 2 years of experience in Generative AI, Large Language Models (LLMs), machine learning, AI platforms, cloud computing, software engineering, MLOps, solution architecture, or customer-facing technical consulting. Hands-on experience with modern AI technologies including LLMs, Prompt Engineering, RAG, AI Agents, MCP, model fine-tuning, inference ...

enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging tools and platforms.Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices.Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate delivery while maintaining high quality ...

Service and AI platform solutions in hybrid or managed service environments, including familiarity with agentic AI systems, multi-agent orchestration, and AI lifecycle frameworks (MLOps, LLMOps, DataOps). Proven presales experience with strong communication and stakeholder engagement skills , able to articulate complex technical solutions, integrate cloud-native AI services ...

cybersecurity guidance) and rigorous documentation management for regulatory submission. Nice to Have Experience testing real-time Linux or RTOS-based products. Background in MLOps, including validation of model drift, dataset governance, and automated performance evaluation. Expertise in managing complex build environments (e.g., CMake, Bazel) or cloud-native infrastructure-as-code ...

with responsible AI practices — explainability, bias review, model auditabilityDesirableExperience with insurance platforms (Duck Creek, Guidewire, Acturis)Experience with pricing or actuarial model deploymentFamiliarity with MLOps concepts (CI/CD pipelines, model registries, automated testing) — awareness required, not hands-on ownershipExperience with ML lifecycle tooling — MLflow, Azure ML, or equivalentPython proficiency ...