51 to 75 of 111 MLflow Jobs in England

Evidently, etc.) Experience in building parallelised or distributed model inference pipelines Nice-to-Have Skills Familiarity with feature stores and model registries (e.g. Feast, MLflow, SageMaker Model Registry) Knowledge of model versioning , A/B testing , and shadow deployments Experience implementing or contributing to MLOps frameworks and scalable deployment patterns More ❯

PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering More ❯

PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering More ❯

PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering More ❯

PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ML, data science, or software engineering More ❯

pressure Nice-to-Have: Experience with marketing data or customer-level models (e.g. uplift, attribution, causal inference, campaign optimization) Familiarity with MLOps tools (e.g. MLflow, FastAPI, Airflow) Exposure to A/B testing and experimentation frameworks WHY THIS ROLE IS DIFFERENT This isn’t a narrow data science role — you More ❯

pressure Nice-to-Have: Experience with marketing data or customer-level models (e.g. uplift, attribution, causal inference, campaign optimization) Familiarity with MLOps tools (e.g. MLflow, FastAPI, Airflow) Exposure to A/B testing and experimentation frameworks WHY THIS ROLE IS DIFFERENT This isn’t a narrow data science role — you More ❯

Terraform Monitoring and performance tuning of cloud-based applications and services Nice to haves: (MLOps): Model Deployment & Serving - Deploy and manage ML models using MLflow, Azure ML, SageMaker, or similar, ensuring scalability and performance. Monitoring & Retraining - Set up model drift detection, performance monitoring, and automated retraining. ML Pipelines & CI/ More ❯

Learning Engineer or Data Scientist. Solid Python coding skills. Expertise with cloud infrastructure (preferably AWS). Familiarity with Containers and MLE tools such as MLflow and Airflow. Knowledge of AI SaaS or GenAI APIs is a bonus. In return, you'll be offered a supportive team culture with flexible, hybrid More ❯

healthcare, biotech, or pharmaceutical space. Strong Python coding skills and expertise with cloud infrastructure (AWS preferred) are essential, as is familiarity with tools like MLflow and Airflow. Additional knowledge of Gen AI APIs or AI SaaS solutions is a plus. Above all, they're seeking someone passionate about harnessing machine More ❯

AI/ML development including: Proficiency with production software (Python) and systems design. Machine learning algorithms and model development techniques. ML lifecycle tools like MLflow, dvc, weights & biases. Cloud deployment of ML systems. Professional experience with LLMs and large-scale models. Very strong software engineering skills with a track record More ❯

development and integrating ML models with backend systems. Deep understanding of CI/CD pipelines for ML, including tools like GitLab CI/CD, MLflow, Docker, and ECS. Exposure to ECS, Kubernetes, Terraform, and Infrastructure as Code (IaC). Strong knowledge of cloud security and Identity and Access Management (IAM More ❯

small project teams, and help recruit top talent as we grow. Technical Delivery: Provide hands-on support with Databricks notebooks, Delta Lake, Spark optimization, MLflow integration, and related areas when necessary. Business Development Support: Partner with sales and leadership teams to support presales activities, including client pitches, proposals, and solution More ❯

Experience using LLMs or AI tools to structure and extract meaning from unstructured data Experience automating workflows and deploying model pipelines (e.g. Airflow, dbt, MLFlow, or similar) Exposure to business planning, pricing, or commercial decision-making Familiarity with geospatial data Experience in fast-scaling startups or operational teams We're More ❯

Experience with Kubernetes and Docker for containerization and orchestration. Implement and maintain versioning, governance, and monitoring tools for models using MLOps tools such as MLFlow, Kubeflow, or DVC. Ensure secure and compliant handling of sensitive data in production environments. Pipeline Automation Build and maintain robust automated pipelines for training, validation … Expertise: Proven experience deploying machine learning models into production, including managing their lifecycle (deployment, monitoring, retraining). Hands-on experience with MLOps tools like MLFlow, Kubeflow, DVC, or Weights and Biases. Strong background in cloud platforms (GCP). Proficiency in Kubernetes and Docker for managing containerized applications. Automation & Infrastructure: Expertise More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize More ❯

The Machine Learning (ML) Practice team is a highly specialized customer-facing ML team at Databricks facing an increasing demand for Large Language Model (LLM)-based solutions. We deliver professional services engagements to help our customers build, scale, and optimize More ❯

and client base. Key Responsibilities: Architect and implement end-to-end, scalable data and AI solutions using the Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow). Design and lead the development of modular, high-performance data pipelines using Apache Spark and PySpark. Champion the adoption of Lakehouse architecture (bronze/… Unity Catalog. Excellent communication, leadership, and problem-solving skills. Desirable: Databricks certifications (e.g., Data Engineer Associate/Professional or Solutions Architect). Familiarity with MLflow, dbt, and BI tools such as Power BI or Tableau. Exposure to MLOps practices and deploying ML models within Databricks. Experience working within Agile and More ❯

We are Vitesse - the treasury and payment partner of choice for insurance. Formed in 2014 by a team of proven FinTech entrepreneurs, we are an FCA-regulated business providing global claim funds management and payment solutions. Operating one of the More ❯

months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional services consultancy that’s taking on the Big Four. Currently in stealth mode and gearing up for … SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to data for LLM workflows, unstructured sources, and real-time ingestion ✔ Comfortable operating in an early-stage environment, with More ❯

months (Outside IR35, potential to go perm) 🛠 Tech Stack: Azure Data Factory, Synapse, Databricks, Delta Lake, PySpark, Python, SQL, Event Hub, Azure ML, MLflow We’ve partnered with a new AI-first professional services consultancy that’s taking on the Big Four. Currently in stealth mode and gearing up for … SQL, and Databricks skills (especially PySpark & Delta Lake) ✔ Deep experience with Azure: Data Factory, Synapse, Event Hub, Azure Functions ✔ Understanding of MLOps tooling like MLflow and integration with AI pipelines ✔ Exposure to data for LLM workflows, unstructured sources, and real-time ingestion ✔ Comfortable operating in an early-stage environment, with More ❯

in containerization (Docker, Kubernetes) and automating ML pipelines using CI/CD tools like CodePipeline, Jenkins, and GitLab CI. Experience with model versioning tools (MLflow, DVC, SageMaker Model Registry) and automating data workflows to ensure data availability and traceability. Strong background in Python, Bash, and scripting to automate model management … support machine learning models. Preferred Qualifications: AWS Certified Machine Learning - Specialty or other relevant certifications. Experience with machine learning deployment frameworks (TensorFlow Serving, Kubeflow, MLflow) and managing containerized workloads with ECS/EKS. Deep understanding of data privacy regulations, model security, and designing solutions that are compliant with industry standards. More ❯

???? Transform Healthcare with Cutting-Edge Tech! ???? Position: Data Engineer (Python/Databricks) Location: Remote Salary: Up to £80,000 + Benefits Are you driven by a passion for health tech and innovation? Do you dream of revolutionizing clinical research through More ❯

Location: Remote Salary: up to £80,000 + Bens Are you passionate about health tech and innovation? Do you want to be at the forefront of transforming clinical research with cutting-edge technology? If so, we have an exciting new More ❯

Position: Data Engineer (Python/Databricks) Location: Remote Salary: up to £80,000 + Bens Are you passionate about health tech and innovation? Do you want to be at the forefront of transforming clinical research with cutting-edge technology? If More ❯