151 to 175 of 244 MLOps Jobs in England

building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open … databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks ...

building, training, and deploying machine learning models for classification, regression, clustering, and NLP tasks. Understanding of model evaluation metrics, hyperparameter tuning, feature engineering, and MLOps practices for production deployment. Generative AI & LLM Integration - Proficient in working with Large Language Models including OpenAI GPT models, Anthropic Claude, Azure OpenAI, and open … databases (SQL Server), data validation, cleansing workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks ...

Azure OpenAI, Prompt Engineering, Cognitive Search, Form Recognizer. Data/Coding: Expert-level Python, PySpark, and Vector DB integration. Ops: Practical knowledge of MLOps and LLMOps lifecycles. Security: Must hold active UK Government SC Clearance. Certifications Mandatory: AZ-204 (Azure Developer Associate). Preferred: AZ-305 (Solutions Architect ...

Azure OpenAI, Prompt Engineering, Cognitive Search, Form Recognizer. Data/Coding: Expert-level Python, PySpark, and Vector DB integration. Ops: Practical knowledge of MLOps and LLMOps lifecycles. Security: Must hold active UK Government SC Clearance. Certifications Mandatory: AZ-204 (Azure Developer Associate). Preferred: AZ-305 (Solutions Architect ...

PyTorch, Lightning, etc., along with a solid understanding of how these fit into ML Ops pipelines and tools. Be able to design and implement MLOps solutions covering many different technologies. Desirable Skills Background in DevOps with exposure to CI systems, e.g. Jenkins Familiarity with infrastructure as code, e.g. Ansible Experience ...

optimisation). Experience leading or managing data scientists on impactful ML/optimisation projects. Excellent Python and SQL skills, with clean, maintainable code. Practical MLOps experience (deployment, monitoring, lifecycle management) in a cloud environment (AWS or similar). Comfortable working with large, imperfect datasets and making sound, pragmatic decisions. Familiarity ...

. Practical experience with LLMs, RAG architectures, embeddings and transformers. Experience deploying models using cloud infrastructure and working with microservices or APIs. Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement. Strong communication skills and the ability to translate business problems into AI-driven solutions. A collaborative mindset ...

. Practical experience with LLMs, RAG architectures, embeddings and transformers. Experience deploying models using cloud infrastructure and working with microservices or APIs. Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement. Strong communication skills and the ability to translate business problems into AI-driven solutions. A collaborative mindset ...

. Practical experience with LLMs, RAG architectures, embeddings and transformers. Experience deploying models using cloud infrastructure and working with microservices or APIs. Familiarity with MLOps concepts such as monitoring, evaluation and continuous improvement. Strong communication skills and the ability to translate business problems into AI-driven solutions. A collaborative mindset ...

Nice to Have Experience in high-growth or early-stage biotech/pharma Familiarity with GxP, HIPAA, or similar frameworks Exposure to data platforms, MLOps, or AI/ML infrastructure in R&D contexts Ownership of SOC 2 or similar certifications Benefits Committed to Care Healthcare, pension/ ...

learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1, Intersection over Union, and others. Additional beneficial ...

learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1, Intersection over Union, and others. Additional beneficial ...

maintain scalable, end‐to‐end AI/ML pipelines using Microsoft Fabric Develop, train, deploy and monitor machine learning and deep learning models Implement MLOps best practices including versioned data and features, CI/CD pipelines, model promotion and rollback. Collaborate with data scientists, analytics engineers, product managers and software … generation Knowledge of AutoML, hyperparameter optimisation and advanced MLflow features. Experience working with streaming or real‐time data platforms Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial exposure to e‐commerce, travel or holiday‐lettings environments. Experience mentoring others or leading technical ...

maintain scalable, end‐to‐end AI/ML pipelines using Microsoft Fabric Develop, train, deploy and monitor machine learning and deep learning models Implement MLOps best practices including versioned data and features, CI/CD pipelines , model promotion and rollback . Collaborate with data scientists, analytics engineers, product managers … generation Knowledge of AutoML, hyperparameter optimisation and advanced MLflow features. Experience working with streaming or real‐time data platforms Familiarity with CI/CD, MLOps and deployment pipelines (Azure DevOps, GitHub Actions, Docker). Commercial exposure to e‐commerce, travel or holiday‐lettings environments. Experience mentoring others or leading technical ...

MLOps Engineer Location: London, UK (Hybrid - 2 days per week in office) Day Rate: Market rate (Inside IR35 Duration: 6 months Role Overview As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building ...

Operations, Digital, Risk). Knowledge of AI governance, risk, compliance, and responsible AI frameworks relevant to FS environments. Exposure to AI delivery teams, including MLOps, data engineering, AI consulting, or agent-development teams. Ability to translate complex technical capability into clear commercial value propositions. Comfortable assessing AI maturity, operating models ...

bonus (linked to MVP pilot) Location: Slough (Hybrid - 2+ days/week) Stack: Python, LangChain, Semantic Kernel, vector DBs, Azure AI/MLOps Visa: No sponsorship available Interested? Please apply below. ...

GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

deliver AI and analytics solutions aligned with the organisations Data & AI strategy. Key Responsibilities * End-to-end development of AI/ML solutions. * MLOps practices: CI/CD, model monitoring, retraining. * Use of open-source and enterprise tools (LangChain, Azure OpenAI, Databricks). * Generative AI features: embeddings, RAG, AI agents. …/ML delivery. * Legal/professional services experience is a plus. * AI/ML frameworks: PyTorch, TensorFlow, LangChain. * Cloud: Azure (preferred), AWS, GCP. * MLOps: CI/CD, model lifecycle, monitoring. * Generative AI: LLMs, RAG, chat agents. * Data engineering alignment: ETL, governance. * Strong coding, communication, and collaboration skills. * Strategic thinking, problem ...

using Azure Key Vault and Azure AD. Ensure connectivity between on-prem services and Azure cloud infrastructure using GreenLink and hybrid networking. Collaborate with MLOps and Data Engineers to ensure reproducible, reliable, and auditable infrastructure across environments. Monitor system health, logging, and metrics using platform observability tools (e.g. Azure Monitor ...

concepts to both technical and non-technical stakeholders. Managing project delivery, ensuring outcomes are on time, within budget and to quality standards. Applying MLOps practices to address risk and technical debt. Staying up to date with advancements in AI, agent architectures, and emerging best practices. What you’ll bring: Expertise ...

patterns from the Ultralytics export toolkit. Knowledge of cloud AI services and training infrastructure across AWS, Google Cloud, and Azure, including GPU clusters and MLOps considerations. Proven ability to lead benchmarking, technical validation, and co-development programs using our benchmark capabilities and integration best practices. Strong ability to connect technical ...

from the Ultralytics export toolkit . Knowledge of cloud AI services and training infrastructure across AWS, Google Cloud, and Azure, including GPU clusters and MLOps considerations. Proven ability to lead benchmarking, technical validation, and co-development programs using our benchmark capabilities and integration best practices. Strong ability to connect technical ...

experimental models into production-ready solutions, collaborating with engineers on deployment, monitoring, and optimisation. Build and maintain ML pipelines using AWS services and modern MLOps/LLMOps tooling. Implement robust versioning, experiment tracking, and reproducibility practices. Mentor junior engineers and contribute to team-wide AI knowledge sharing. Communicate complex technical … level). Hands-on experience with Python ML frameworks (scikit-learn, PyTorch, TensorFlow, XGBoost). Experience with AWS ML services (SageMaker, Lambda, S3) and MLOps/LLMOps tooling (MLflow, Weights & Biases, DVC). Proven track record transitioning models from experimentation to production with governance and quality controls. Experience developing ...

Senior ML Engineer will own the journey from experimentation and hypothesis testing through to secure, production-grade deployment, using a modern AWS-based MLOps and LLMOps platform. The Role The successful candidate will balance rapid experimentation with production readiness, prototyping and validating machine learning and generative AI approaches while ensuring …/B testing and statistical evaluation Proven experience moving models from experimentation into production with appropriate governance and quality controls Hands-on experience with MLOps tooling such as MLflow, Weights & Biases or Data Version Control Practical experience building LLM/GenAI applications, including prompt engineering and retrieval-augmented generation ...