151 to 175 of 696 MLOps Jobs in England

decision-making and customer experience, applying patterns such as RAG, orchestration and multi-agent workflows, and tool/function calling.Establish best practices for LLMOps, MLOps and AIOps, including evaluation, observability, model routing, cost and latency optimisation, and secure deployment.Lead the development of reusable AI accelerators, patterns and reference architectures ...

launch, demonstrating mastery of system-level trade-offs. Technical Mentorship: Track record of mentoring more junior engineers and cultivating best practices in AI Engineering, MLOps and software engineering. Problem Definition: Exceptional ability to identify high-value opportunities and translate them into clear, technically feasible plans, securing buy-in from technical ...

Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong understanding ...

Deep expertise in LLMs, RAG architectures, Prompt Engineering and Generative AI frameworks such as LangChain or LangGraph Hands-on experience with Python, PyTorch, TensorFlow, MLOps/LLMOps and cloud platforms (Azure, AWS or GCP) Experience deploying AI solutions within government, defence, healthcare or other high-assurance environments Strong understanding ...

Cluster management Unity Catalog Preferred Skills Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks architectureand implementation expertise. Ability to designscalableand cost-efficientLakehouse ...

engineering foundations, including version control, automated testing, and monitoring; Nice to have: Experience with agentic AI systems, GenAI and LLM systems in production, MCP, MLOps pipelines, real-time or streaming systems. Условия Competitive salary and company bonus scheme; Group pension scheme; Group healthcare and life assurance scheme; Hybrid working environment ...

Skills:Professional certifications in AWS, Azure, GCP, or Data Engineering.Experience within aerospace, defence, manufacturing, or highly regulated industries.Knowledge of AI/ML platforms and MLOps practices.Experience with graph databases and knowledge engineering solutions.Experience implementing data mesh or data fabric architectures.Enterprise Architecture experience.Experience leading large-scale data modernisation programmes.Knowledge of defence ...

Nice to haveExperience in one or more of our domains (assessment/psychometrics, workforce skills/ontologies, recommendations, fraud detection).Familiarity with MLOps practices (CI/CD for ML, experiment tracking, data/version control) in a cloud environment.How we work at PearsonPurpose‐driven, learner‐first; we prize curiosity, decency ...

experience with distributed computing with Apache SparkTM and knowledge of Spark runtime internals Familiarity with CI/CD for production deployments Working knowledge of MLOps, ML/AI models and AI APIs Design and deployment of performant production end-to-end data architectures and applications that combine data pipelines ...

applied AI Desirable Experience Hands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or Bedrock Knowledge of ML engineering and MLOps practices (e.g. Docker, MLflow) Experience working in government, defence or other highly regulated environments Proven application of large language models (LLMs) to real-world problems Security ...

databases including Pinecone, Weaviate, Chroma, FAISS or Milvus.Experience building Retrieval Augmented Generation (RAG) solutions.Understanding of AI governance, Responsible AI and AI security principles.Exposure to MLOps, model deployment and monitoring frameworks.Experience working within a regulated industry such as Financial Services, Professional Services, Insurance or Consulting.What We're Looking ForA naturally curious ...

databases including Pinecone, Weaviate, Chroma, FAISS or Milvus.Experience building Retrieval Augmented Generation (RAG) solutions.Understanding of AI governance, Responsible AI and AI security principles.Exposure to MLOps, model deployment and monitoring frameworks.Experience working within a regulated industry such as Financial Services, Professional Services, Insurance or Consulting.What We're Looking ForA naturally curious ...

customer conversations — discovery, whiteboarding, architecture reviewsFamiliarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analyticsStrong presentation and demo skills — you will build and present a live solution during the interviewBachelor's or Master's degree in Computer ...

Bedrock, SageMaker, OpenAI, Cognitive Services). Strong Python programming skills with hands‐on experience using frameworks like Autogen and LangGraph . Solid grounding in MLOps , containerisation (Docker, Kubernetes), and vector databases. Understanding of agent monitoring tools (Langfuse, OpenTelemetry). Strong software engineering best practices (testing, CI/CD, code reviews ...

machine learning principles, deep learning architectures, and natural language processing, particularly with large language models. Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps tools for managing the AI lifecycle. Demonstrated ability to write clean, efficient, and well-tested code for scalable software systems. Exceptional problem-solving skills ...

embed these controls into enterprise architectures. Expertise in at least one major cloud platform (AWS or Azure), together with strong software engineering, security architecture, MLOps, and LLMOps knowledge. Next steps Computershare are dedicated to providing you with the opportunity to succeed on your own merits, starting from the application process. ...

policy considerations in applied AIDesirable ExperienceHands-on experience with AWS services such as Lambda, ECS, S3, SageMaker or BedrockKnowledge of ML engineering and MLOps practices (e.g. Docker, MLflow)Experience working in government, defence or other highly regulated environmentsProven application of large language models (LLMs) to real-world problemsSecurity ClearanceThis role ...

knowledge in the following: Python AWS Kubernetes Spark & distributed computing dbt Terraform Data Warehousing (we use Databricks but experience with other platforms is fine) MLOps implementation (desirable but not required) Airflow (or other orchestration tooling) Governance Why else you'll love it here Wondering what the salary for this role ...

frameworks, and scalable AI/ML platforms.Mastery of enterprise cloud stacks (AWS/GCP/Azure), vector DBs, Knowledge Graphs, contextual memory, distributed systems, MLOps/LLMOps, and infrastructure automation.Additional infoYOUR TRAVELMostly from the BCG office, occasionally work at other BCG offices.Boston Consulting Group is an Equal Opportunity Employer. ...

least oneDeep experience with distributed computing with Apache Spark and knowledge of Spark runtime internalsFamiliarity with CI/CD for production deploymentsWorking knowledge of MLOps, ML/AI models and AI APIsDesign and deployment of performant production end-to-end data architectures and applications that combine data pipelines, ML/ ...

statistical methodologies, along with data extraction, manipulation and feature engineering techniquesExperience with Spark, agile delivery methods and CI/CD practicesFamiliarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlowConfidence influencing and communicating with stakeholders across technical and non-technical teamsIdeally, exposure to cloud infrastructure ...

along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods and CI/CD practices Familiarity with DevOps and MLOps tools and practices, such as Docker, Terraform and MLFlow Confidence influencing and communicating with stakeholders across technical and non-technical teams Ideally, exposure to cloud ...

exposure in media, or another enterprise vertical. Familiarity with AI safety, responsible AI frameworks, or enterprise AI governance. Familiarity with AI deployment infrastructure and MLOps tooling. #LI-EU Locations London Additional Information Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion ...

problem‐solver at heart. Nice to Haves (but we can teach you): You've already worked with Rust in a production environment. Experience with MLOps, particularly the challenges of managing the lifecycle of models in a multi‐tenant, high‐availability system. Familiarity with building ML inference services, model serialization (e.g. ...

datasets (scientific, biomedical, or enterprise data) Familiarity with scientific ontologies and metadata standards (e.g., MeSH, UMLS, ORCID, CrossRef) Exposure to production ML systems and MLOps practices Familiarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectively Experience with human ...