1 to 25 of 46 MLOps Jobs in the South East

Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability to explain their importance. Strong programming skills in Python and SQL, with the ability to present data insights clearly to different ...

Azure and Databricks, and familiarity with Azure DevOps tools like Boards, Repos, and Pipelines. Good knowledge of explainable AI and best practices in MLOps and LLMOps, with the ability to explain their importance. Strong programming skills in Python and SQL, with the ability to present data insights clearly to different ...

machine learning, and generative AI technologies to deliver innovative business solutions. Continuously improve platform performance, scalability, and operational efficiency while supporting AI governance and MLOps best practices. Unfortunately we are unable to progress with candidates that require sponsorship at this time Skills we would love you to have Experience working ...

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 ...

data‐driven systems in production or near‐production settings. Experience with generative AI systems, LLM‐enabled applications or evaluation pipelines. Experience with cloud platforms, MLOps tooling, model serving or platform engineering. Advanced use of Linux, Docker, version control, CI/CD and service‐oriented deployment practices. Experience working across ...

infrastructure automation. Hands-on work with Docker containers, security-focused architecture, and multi-provider integrations (cloud compute + frontier model providers) Familiarity with MLOps, model onboarding, compute orchestration, and infrastructure for large-scale AI usage Proficiency in Python and experience with additional languages Knowledge of Kubernetes, container orchestration, observability ...

cost management Model serving and inference at production scale (eg KServe, RayServe, Triton, vLLM, or similar) with real latency and cost constraints(preferred RayServe) MLOps pipeline tooling - training pipelines, model registries, feature stores, and lineage (Kubeflow, MLflow, Feast, Weights & Biases, or equivalents) LLMOps in production - inference serving, prompt/version ...

technical designs throughout the project lifecycle. Experience with large-scale data initiatives, data labelling strategies, synthetic data generation and data quality management. Familiarity with MLOps practices and cloud platforms for AI deployment. Experience working with academic partners, research institutions, grant-funded programmes or collaborative research consortia. Experience contributing to bids ...

strong written and verbal communication skills. Experience in motorsport, high-performance engineering, automotive, manufacturing or other fast-paced technical environments. Knowledge of AI platforms, MLOps concepts, Microsoft Copilot, generative AI services, data platforms or enterprise AI governance processes. Experience in cloud managed endpoint management. Every lap is a statement, every ...

including serving, monitoring, and retraining Experience leading or mentoring engineering squads Hands‐on experience building and training deep learning models in PyTorch Familiarity with MLOps tooling such as MLflow and CI/CD workflows Experience with AWS, Azure, or GCP Experience with sequence models (e.g. transformers, RNNs) or generative models ...

Snowpark, AWS Bedrock, SageMaker, vector search and semantic search architectures Experience delivering Business Intelligence platforms, self-service analytics solutions and working knowledge of DataOps, MLOps and LLMOps practices Demonstrable experience working in telecommunications and using industry best practice frameworks such as TM Forum, TOGAF, ITIL, BPMN and UML Life ...

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 ...

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 ...

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 ...

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 ...

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 ...

with governance. You will collaborate with stakeholders, promote best practices in SQL, Python, data modelling and AI development, and drive adoption of AI and MLOps to deliver innovative #J-18808-Ljbffr ...

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 Private Medical Insurance Dental Insurance Parental Support Salary‐Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle‐to‐work ...

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 ...

SanTalk solutions, including experimentation, business readiness, testing, deployment, adoption, maintenance and transition into business-as-usual support.* Provide technical direction to Data Scientists, Engineers, MLOps specialists and Product Owners, ensuring solutions are scalable, reliable, secure, maintainable and production-ready.* Own the ongoing performance and continuous improvement of deployed solutions, defining ...

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/ ...

Hampshire base and for possible European client travel. Preferred Qualifications Experience conducting formal estate assessment, discovery, or technical due diligence work. Experience with MLOps or model lifecycle tooling such as MLflow, model registries, or feature stores. Experience with workflow orchestration tools such as Airflow, dbt, or Databricks Workflows. Experience with ...

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 ...

Elanco is seeking a Lead Engineer to join the Enterprise AI engineering team in the UK, delivering secure, reliable GenAI solutions across the business. You will lead a skilled engineering group, shape the technical roadmap ...