21 of 21 Contract MLOps Jobs in England

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 ...

Build APIs and microservices for scalable AI deployment. Use AI-powered dev tools like GitHub Copilot, Cursor, and Codeium to speed up iteration. Apply MLOps/LLMOps practices with MLflow, Weights & Biases, and Kubeflow. ?? Youll Bring Strong Python skills and experience with LangChain, Transformers, Hugging Face. Solid grasp ...

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 ...

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 (eg, MLflow), model registry, CI/CD for ML. Serving and orchestration: AWS SageMaker, EKS, batch & Real Time inference. Data pipelines: Spark/ ...

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/ ...

Computer Vision Consultant - MLOps, CV, Design, COCO, Annotations , Roboflow, Azure ETL, Encord, RF-DETR, SAM, YOLO, Video, HITL, Analysis, Architect - Remote (UK) Outside IR35 This is a fantastic Computer Vision Architect/MLOps Engineer contract opportunity to join a leading London based tech company. The Computer Vision Architect/MLOps … London for a day at start and end of contract) and you must be UK based . The Computer Vision Architect/MLOps Engineer is Outside IR35 As Computer Vision Architect/MLOps Engineer you will be the SME for cutting edge ML and Computer Vision projects. The Computer Vision ...

Query, Vertex AI, Dataflow, Pub/Sub, Redis and NoSQL Databases, maintaining chat history etc Implement best practices for data governance, security, and MLOps on GCP Optimise model performance, monitor production systems, and ensure reliability, Auto Scaling using Prometheus, Dynatrace and Lang Smith Key Requirements: Hands-on experience with GenAI ...

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. ...

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 ...

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 ...

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 ...

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 ...

Ensure scalable, secure, well-governed architecture aligned to regulatory expectations Define integration patterns with Legacy platforms and partner-delivered components Collaborate with delivery, engineering, MLOps and cloud security teams Provide architectural assurance across partner and internal workstreams What you'll need Strong Azure background (Fabric, Data Lake, ADF, Databricks ...

data science and machine learning, including model development, training, evaluation, and deployment. Experience building and deploying chatbots or conversational AI systems. Knowledge of MLOps tools and pipelines for model versioning and deployment. If you are available and interested in a 6-month Outside IR35 contract, please apply in the first ...

AI Engineer | Contract | Initial 3 months | Newcastle (Hybrid) | £585-600/day Inside IR35 We have a new contract role for an AI Engineer to work on cutting-edge generative AI solutions leveraging Google Gemini ...

reliability, and compliance. Advise teams on ethical, regulatory, and operational compliance , integrating AI governance into project delivery. Support safe deployment of AI systems, guiding MLOps best practices and risk mitigation strategies. Candidate Requirements: Active SC clearance (DV desirable). Deep technical expertise in AI/ML , including hands-on experience ...

major UK financial services organisation has secured funding for a multi-year AI transformation starting in Q1 2026. We're hiring an MLOps Engineer to ensure models are deployed safely, reliably and with full governance. What you'll be doing Build CI/CD pipelines for ML and data workloads … MLflow or similar model life cycle tooling Experience in ML governance and regulated environments FS/pensions background preferred If you're an experienced MLOps Engineer feel free to apply or send your C.V to (see below ...

case definition through to high-level architecture and platform design. The role covers areas such as Predictive AI, Machine Learning and Generative AI, MLOps, data pipelines and modern AI platforms, across both cloud and private infrastructure. Alongside customer work, youll contribute to the development of AI offerings, standards and propositions … governance models and platform architectures aligned to business outcomes. Design end-to-end AI solutions, including data ingestion, feature engineering, ML/GenAI models, MLOps and deployment. Support pre-sales activity, including solution shaping, technical validation, demos and customer presentations. Bridge multiple technology domains (cloud, hybrid infrastructure, data platforms, security ...