26 to 42 of 42 MLflow Jobs in the UK excluding London

seeking an experienced MLOps Engineer to lead deployment pipelines and governance for enterprise ML initiatives. You will implement and optimize SageMaker, Databricks, and MLflow, driving reproducibility, security, and scalable AI solutions across teams. Strong emphasis on collaboration with data scientists and infra engineers. The role requires hands-on Python development ...

business impact. The candidate will have experience with AI deployments across cloud platforms like Azure and AWS, and familiarity with frameworks such as MLflow and Kubeflow. Flexible working arrangements are available, reflecting the company's commitment to employee wellbeing. #J-18808-Ljbffr ...

experience with LLMs and agentic systems [Preferred] Hands‐on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred] Experience building AI products in highly accuracy‐sensitive domains such as finance ...

experience with LLMs and agentic systems [Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow [Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs [Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance ...

experience with LLMs and agentic systems[Preferred] Hands-on experience with technologies in the modern AI/LLM ecosystem, such as Databricks, Langchain, or MLFlow[Preferred] Advanced understanding of the probabilistic systems underpinning modern LLMs[Preferred] Experience building AI products in highly accuracy-sensitive domains such as finance ...

Deployment (MLOps): Partner with our engineers to transition your models from prototype into scalable, monitored, and reliable production pipelines using tools like MLflow and Optuna. Your Skills Strong hands‐on professional experiencein Data Science, successfully buildingand deployingsystems from prototype to production in a fast‐paced environment. Strong predictive modeling foundation … handling columnar data formats like Parquet. MLOps Exposure: Experience with tools and frameworks for training, tracking, deploying, and monitoring models in production (e.g., MLflow, Optuna, Prefect, or Airflow). Background in supply chainforecasting, enterprise AI, or retail analytics M.S. or Ph.D. in Computer Science, Artificial Intelligence, Statistics, Data Science ...

The Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key ...

The Opportunity A leading financial consultancy is seeking a Senior AI & ML Engineer to lead the design, development and deployment of cutting-edge AI, Machine Learning and Generative AI solutions. You'll play a key ...

have a good knowledge of modern software engineering best practices, microservices, TDD/DDD, common Design Patterns Experience with Databricks, PostgreSQL, Amazon RedShift or MLflow would be great but not essential What's in it for you: As a Python Software Engineer (Machine Learning AWS) you will earn a competitive ...

later stage of being migrated from vSphere to five Proxmox clusters. Both platforms provide services for a growing number of AI ecosystems, like Anemoi, MLflow services, AIFS Assistant, and several Member States and internal AI workloads. ECMWF is now looking for a qualified Cloud Systems Analyst to help support ...

scientific data, and that Applied AI and data engineering teams build against internally. Own the end-to-end model and prompt lifecycle across Databricks MLflow and AWS Bedrock, including registration, versioning, asset bundles, staged promotion, rollback, and multi-model serving. Design the inference substrate for both real-time and batch … critically evaluate AI-generated code for correctness, security, and architectural fit. Production-level experience with a model registry and serving stack, ideally Databricks MLflow, including model registration, versioning, asset bundles, and serving workflows. Experience treating AI evaluation as a release gate rather than post-hoc reporting, including eval harnesses, regression ...

Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom Job Description Data Scientist II – Zonda - Glasgow, Scotland, United KingdomJob Description Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real ...

Data Scientist II - Zonda - Glasgow, Scotland, United Kingdom Job Description Data Scientist II – Zonda - Glasgow, Scotland, United Kingdom Job Description Company Overview: CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential ...

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What ...

behave. Key Responsibilities MLOps Leadership: Build and evolve model deployment pipelines, registries, and monitoring frameworks. Tooling & Integration: Implement and optimize SageMaker, Databricks, MLflow, and related orchestration tools. Governance & Risk: Ensure compliance with model governance, auditability, and AI safety standards. Operational Excellence: Drive reproducibility, lineage tracking, drift detection, and rollback strategies. … Mentorship: Coach engineers on best practices for ML lifecycle management and secure deployment. Required Skills Strong Python engineering background. Deep experience with SageMaker, Databricks, MLflow, and CI/CD for ML. Proven track record in operationalizing ML models at scale. Knowledge of model governance, compliance, and risk management. Familiarity with ...

Description Join us, be part of more. We're so much more than an energy company. We're a family of brands revolutionising how we power the planet. We're energisers. One team of 21 ...

strong combination of Databricks, Machine Learning and modern Agentic AI experience . Key Skills & Experience Strong hands-on Databricks experience Proven experience working with MLflow Strong understanding and practical experience of Agentic AI/AI Agents 35+ years experience delivering complex AI and Machine Learning solutions Strong software engineering … Opportunity This is a great opportunity for an experienced AI Engineer to work on a technically challenging project where your expertise in Databricks, MLflow and Agentic AI will be central to the delivery. The role is Outside IR35 , initially 3 days per week , with occasional attendance required in Manchester ...