226 to 250 of 685 MLOps Jobs in England

OECD AI Principles, model risk management, or responsible AI frameworks. Experience with AI red teaming, model evaluation, bias testing, explainability tooling, monitoring tools, MLOps, LLMOps, or AI governance platforms. Experience advising on third-party AI tools, enterprise AI platforms, or AI-enabled vendor solutions. Certifications or advanced training ...

following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and SpacyExperience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.Experience with working cloud environments such as AWSTechnical Concept RequirementsExperience in any of the following AI/ML topics within a work context: Natural ...

optimisation and high‐security solutions for enterprise clients Expertise in implementing SSO across a variety of industry standard software Preferred/Bonus Experience with MLOps/LLMOps (Softwares such as Sagemaker, Kubeflow or ZenML). Deployment of on‐premise Kubernetes Prometheus (or other stacks) observability Experience with AWS Karpenter & Compute ...

following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy* Experience in of any of the following additional platforms related to MLOps: MLFlow, dbt, Docker, Kubernetes.* Experience with working cloud environments such as AWSTechnical Concept Requirements* Experience in any of the following AI/ML topics within ...

development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment techniques across the team. Take hands-on ownership of big projects, working with a large, event-based data set. Research ...

development and deployment of ML and AI models to prove and deliver tangible commercial value. Act as a technical bridge between Data Science and MLOps to embed best practice deployment techniques across the team. Take hands-on ownership of big projects, working with a large, event-based data set. Research ...

subject matter expert regarding GCP’s latest ML/AI tooling, and continuously prototyping and advocating for new tooling to ensure that our MLOps and AI infrastructure remains fit for purpose. Collaborating with Platform Engineering and Product to prioritise relevant workstreams across the Beatport Group. Working in conjunction with ...

enterprise and industry-standard software platforms. A strong understanding of infrastructure security, reliability and operational best practice. Desirable Experience The following would be advantageous: MLOps or LLMOps experience. Experience with platforms such as SageMaker, Kubeflow or ZenML . Extensive on-premises Kubernetes deployment experience. Prometheus or comparable observability platforms. ...

retrieval systems. Familiarity with scientific, biomedical, or scholarly datasets. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Exposure to production ML systems and MLOps practices. Academic or industry research experience in NLP, information retrieval, search, or generative AI. Experience working in content‐rich, knowledge‐intensive, or highly regulated domains. ...

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 practicesFamiliarity with data visualization and analytical tooling (e.g., Tableau, Power BI, matplotlib, seaborn, or similar) to communicate insights effectivelyExperience with human-in-the-loop evaluation ...

access expectations. Experience with PETs or privacy‐preserving ML frameworks such as Flower, Opacus, TensorFlow Federated or similar. Cloud platforms, containerisation, CI/CD, MLOps or production ML systems. Experience evaluating synthetic data using both utility and privacy metrics. Hiring Process We feel hiring should be transparent and give ...

Databricks is seeking a Senior Specialist Solutions Architect for AI/ML in London. You will be the trusted technical expert for ML/AI, guiding customers and the Field Engineering team to design production ...

WinsAbove is seeking a Senior Specialist Solutions Engineer to act as a trusted technical expert in machine learning and AI. In this hybrid role based in London, you will guide customers in implementing production-grade ...

Hiscox is seeking an experienced Machine Learning Engineer to join a newly formed ML Engineering team. You will build and maintain infrastructure to deploy data‐driven models, and develop Python APIs to serve ML models ...

Machine Learning, Data Science, Statistics, Mathematics or another quantitative discipline. Experience building and deploying production-grade machine learning models, with a solid understanding of MLOps, Git and CI/CD practices. Strong Python programming skills, including experience with Pandas, Scikit-learn and either PyTorch or Keras/TensorFlow. Proven experience ...

integrations Fine‐tune, optimize, and deploy large language and multi‐modal models with a focus on scalability, reliability, and low‐latency performance Build scalable MLOps pipelines and cloud‐native AI applications to support secure, production‐grade deployments Collaborate with clients and cross‐functional teams to shape AI engineering strategy ...

robotics.Shape the architecture, culture and technical direction of the company from day one. What we're looking for: You'll likely come from an MLOps, AI infrastructure, platform engineering or HPC background, but titles matter less than experience. We're particularly interested in people with experience in:Large-scale distributed ...

training and optimising models using large datasets and distributed compute infrastructure.Experience working with recommendation systems, ranking, retrieval, personalisation or related machine learning domains.Knowledge of MLOps practices, including model deployment, monitoring and lifecycle management.Experience building reliable, observable and scalable services in cloud environments.Comfortable providing technical leadership and mentoring other engineers.Strong collaboration ...

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. ...

required: workflow orchestration tools (Temporal, Airflow, Step Functions); experience building internal tools or agents; familiarity with regulated or enterprise environments; exposure to MLOps or AI evaluation frameworks. Why Planet Planet Planet is an equal opportunity employer where diversity is valued, and all employment is decided based on qualifications, merit ...

Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter‐agent communication ...

platforms Partner with business, technology, and risk stakeholders to align platform capabilities with enterprise priorities Shape platform strategy and technical roadmap, evaluating emerging AI, MLOps, and cloud technologies Ensure delivery outcomes by tracking performance metrics, managing risks, and driving adoption of platform capabilities Required Skills Strong Python engineering expertise with ...

communication skills, able to explain technical decisions clearly to non‐technical stakeholders. Preferred Skills: Experience with recommender systems or personalisation use cases. Familiarity with MLOps concepts and production ML practices. Demonstrated ability to raise technical standards through influence rather than authority. Experience in an e‐commerce or retail environment. CLOSING ...

frameworks such as TensorFlow/PyTorch. Proficiency with Python and strong software development background. Knowledge and experience with AWS is highly desirable. Experience with MLOps practices, including versioning, deployment and monitoring of models highly desirable. Ability to communicate complex technical concepts clearly to non‐technical stakeholders. Why Work for Proximie ...

with Agile software delivery at scale.Excellent communication and stakeholder-management skills, with fluent English (written and spoken).Preferred Experience and/or QualificationsFamiliarity with MLOps or LLMOps practices, and with monitoring and observing the behaviour of AI systems in production.Exposure to prompt design and prompt/response evaluation techniques ...