1 to 25 of 27 Contract MLOps Jobs in the UK

engineering, data augmentation, and data quality controls Develop APIs, services, or microservices to integrate models into production platforms Deploy, monitor, and manage models using MLOps tooling, automation, and versioning practices Analyse performance metrics (accuracy, precision, recall, F1-score) and optimise models for scalability and efficiency Collaborate with product teams, engineers ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all real-world challenges from day one. Learn it. Apply it. Keep going Your personal learning plan could include: Up to three ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal ...

cover: Foundations of machine learning AI literacy Ensemble methods & model optimisation Databases & big data Neural networks & deep learning LLM foundations, engineering, customisation and integration MLOps & cloud computing Its all live lectures, tutor-led group work and real-world challenges from day one. Learn it. Apply it. Keep going Your personal ...

GitHub Actions. Knowledge of containerization (tools ie Docker) and orchestration (ie Kubernetes on Azure). Good awareness of Data & AI - understanding of ML lifecycle, MLOps, and Responsible AI. Strong problem-solving and analytical skills. Excellent communication and stakeholder management skills. Nice to have: Familiarity with LLM fine-tuning. Strong academic ...

validation. Implement feature engineering and data augmentation techniques. Integration & Deployment Develop APIs or services to integrate ML models into production systems. Work with MLOps tools for model deployment, versioning, and monitoring. Performance Optimization Evaluate models using metrics like accuracy, precision, recall, F1-score. Optimize models for scalability, latency, and resource ...

SLAs. Required Skills & Experience Python (pandas, NumPy, scikit-learn; PyTorch/TF a plus). Feature engineering, data quality validation, model training and optimisation. MLOps: experiment tracking (e.g., MLflow), model registry, CI/CD for ML. Serving and orchestration: AWS SageMaker, EKS, batch & real-time inference. Data pipelines: Spark/ ...

PyTorch, or Hugging Face Solid understanding of machine learning fundamentals and performance evaluation techniques Experience working in cloud platforms (AWS, GCP, or Azure) with MLOps tools (e.g. MLflow, SageMaker, Vertex AI) Comfortable working independently and delivering high-quality work to tight timelines Experience working in fast-paced environments or scale ...

/CD engineering with GitHub Actions and/or Argo CD. Preferred/Bonus Research experience in edge AI or constrained/offline deployments. MLOps experience (Sagemaker, Kubeflow, ZenML). Experience building RESTful services around AI pipelines. ISO 27001, NIST SSDF, OWASP SAMM, or GDPR compliance literacy. Experience with ...

Large Language Models (LLMs) for text analysis, sentiment analysis, and generative AI applications. Build and maintain production-grade ML pipelines using CI/CD, MLOps, and cloud platforms (Azure, AWS, GCP). Conduct A/B testing and randomized control trials to validate model performance and business impact. Perform data … Expertise in NLP techniques and frameworks, familiarity with LLM fine-tuning and deployment. Knowledge of big data technologies and cloud platforms. Strong understanding of MLOps practices, CI/CD pipelines, and model monitoring tools . Proficiency in data visualization tools. Excellent problem-solving skills, attention to detail, and ability ...

Details Role/Job Title: MLOps Tech Lead Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Data Pipeline Development: Lead the technical direction of projects and ensure the use of Sainsbury's best practices to the best quality. Data Integration: Lead and provide ...

PySpark. This role requires the candidate who is already holding active Security Check (SC) clearance in accordance with UK Government standards. Secondary Skills: MLOps and LLMOps Certifications Must Have: Microsoft Certified Azure Developer Associate AZ204 Certifications Good to Have: Microsoft Certified Solutions Architect Expert AZ303 AZ304 AI102 Microsoft Certified Azure ...

Foundry, Open-AI, Microsoft Copilot Studio, Machine Learning, Python, TensorFlow, PyTorch, scikit-learn, Large Language Models, LLM, Data preprocessing, REST API, Microservices architecture, MLOps, CI/CD for ML, Power-BI, Docker, Kubernetes, AI Ethics, Cloud Platforms, AWS, Google Cloud Platform, SQL, NoSQL, DevOps, Financial services, Regulatory environments Contract Type … TensorFlow, PyTorch, and scikit-learn. Experience with Large Language Models, prompt engineering, and RAG implementations. Strong skills in data analytics, API development, and MLOps practices including CI/CD for ML. Excellent technical documentation and communication skills. Desirable knowledge in Docker, Kubernetes, and understanding of financial services or regulatory environments. ...

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 ...

environments Desirable Experience in highly regulated or safety-critical environments Familiarity with GenAI, LLMs, orchestration frameworks, or agent-based architectures Exposure to data platforms, MLOps, or AI governance Experience working across hybrid or multi-cloud ecosystems Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource ...

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 ...

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 ...

Details Role/Job Title: MLOps Engineer Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics … production. Develop and maintain tools for model versioning, reproducibility, and experiment tracking. The Role As an MLOps Engineer , you will support these products from inception. This requires working across the full data ecosystem: developing application-specific data pipelines (features), building CICD pipelines that automate the training and deployment of machine ...

Details Role/Job Title: MLOps Engineer Work Location: London, UK Office Requirement (Hybrid): 2 days per week Key Responsibilities (High-Level) Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML). Build infrastructure to monitor model performance, data drift, and other key metrics ...