11 of 11 Contract MLOps Jobs in England

LangChain, LlamaIndex, and RAG architectures. 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 of LLM behavior, prompt optimization, and data More ❯

and familiar with key libraries such as TensorFlow, PyTorch, and scikit-learn.* Experience working with cloud platforms such as Azure, AWS, or GCP, ideally within a data engineering or MLOps context.* Strong understanding of data processing, feature engineering, and model evaluation techniques, with experience handling complex scientific datasets.* Excellent problem-solving and analytical skills, with a keen eye for accuracy More ❯

/ML tools. Strong programming ability in Python, with frameworks such as TensorFlow and PyTorch. Experience migrating models from Dataiku (or similar platforms) into Google Cloud environments. Knowledge of MLOps, model monitoring, data drift, and concept drift. Understanding of AI bias mitigation, governance, and responsible AI practices. Background in Financial Services or Insurance is advantageous. Desirable: Google Cloud AI/ More ❯

audit logging. Conduct technical risk assessments and support onboarding of new AI systems. Translate regulatory requirements into engineering guidelines and reusable controls. Integrate security into CI/CD and MLOps pipelines using Azure Key Vault, Entra ID, and GitHub Actions. Monitor AI systems using Azure Monitor, Log Analytics, and Application Insights. AI Governance & Microsoft Purview Implement data classification, DLP policies More ❯

with internal policies and external regulations. Provide technical input on risk mitigation strategies and onboarding documentation. Security & DevSecOps Integration: Integrate AI security controls into CI/CD pipelines and MLOps workflows. Use tools such as Azure Key Vault, Microsoft Entra ID, and GitHub Actions for secure deployment and access management. Monitor AI systems using Azure Monitor, Log Analytics, and Application More ❯

BERT, T5). Solid background in 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 instance and you will More ❯

AI solutions meet Service Acceptance Criteria for successful deployment. Ensure compliance and data security: Align development with regulatory, security, and industry requirements throughout the lifecycle. Oversee DevOps, DataOps, and MLOps: Ensure Gen AI solutions adhere to coding, security, and performance standards. Promote FAIR data principles: Champion findability, accessibility, interoperability, and reusability in data pipelines and Gen AI solutions. Essential Skills … solution delivery Deep technical mastery in data engineering, software engineering, and cloud platforms, combined with advanced knowledge of Generative AI systems and frameworks. Expertise in AI engineering principles, including MLOps, prompt engineering, model deployment, and operationalizing large language models (LLMs) Strong knowledge and practical application of DevOps, MLOps, and DataOps methods, processes, and tooling Demonstrated product development and product management More ❯

integrating with live data feeds and cloud infrastructure. Research and prototype cutting-edge AI techniques (e.g., deep learning, reinforcement learning, generative models). Support continuous model improvement and scalable MLOps deployment pipelines. TECH STACK/REQUIREMENTS Core Skills: Python, TensorFlow/PyTorch, scikit-learn, OpenCV, NumPy, Pandas Experience With: Model training, tuning, and deployment in production environments Preferred: Sports data … analytics TO BE CONSIDERED Please apply directly by emailing with your CV and availability. KEYWORDS: AI Engineer, Machine Learning Engineer, Sports Analytics, Computer Vision, Deep Learning, Python, TensorFlow, PyTorch, MLOps, Data Science, Predictive Modelling, Sports Tech, AI in Sports More ❯

ML solutions to ensure safety, 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 with model development, deployment, and More ❯

test-driven development Experience building and maintaining data pipelines and APIs in production environments Nice to have: Knowledge of Snowflake infrastructure and data architecture design Experience using LLMs or MLOps frameworks for data extraction or model training Familiarity with cloud-agnostic deployments and version control best practices What You'll Bring A proactive, hands-on approach to engineering challenges A … Why Join? This is an opportunity to help shape the data foundations of a high-impact healthcare technology business - one that's actively exploring the intersection of data engineering, MLOps, and AI. You'll have ownership of end-to-end data workflows, work with a world-class tech stack, and join a forward-thinking team that values automation, collaboration, and More ❯

Robert Half Technology are assisting a global Pharmaceutical organisation to recruit a Data Engineer on a contract basis - Hybrid Working - London based - Outside IR35 Deep expertise in Snowflake and DBT to join a mission-driven analytics team. This role is More ❯