16 of 16 Contract MLOps Jobs in London

Strong knowledge of Machine Learning algorithms and statistics. Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred). Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines. Preferred Skills:- Experience with LLMs/Generative AI (OpenAI, Hugging Face, LangChain). Cloud experience ...

Search , and custom vector stores. Engineer domain-tuned embeddings using ADA-002, Gecko, Word2Vec, BERT, Sentence Encoder, and topic modelling. AI/ML Pipelines & MLOps Develop scalable AI/ML microservices using Docker, Kubernetes (EKS/GKE), and CI/CD-driven automation. Build and enhance pipelines for model evaluation ...

integrations that embed AI into customer journeys, internal tools, and digital platforms* Own model lifecycle processes including deployment, monitoring, evaluation, and retraining* Implement robust MLOps practices to ensure reliability, performance, and scalability* Mentor engineers and contribute to shared tooling, reusable patterns, and engineering standards Required Experience* Strong software engineering background ...

analytical, data science and AI projects. - Build, maintain and optimise data pipelines, analytical models and data architecture. - Develop and operationalise machine learning solutions, applying MLOps best practice. - Produce high-quality, accessible dashboards and tools using platforms such as Power BI. - Work closely with senior leaders to shape strategic insight, policy ...

human-in-the-loop review where needed. Ensure regulatory alignment (e.g., GDPR, ISO controls) and collaborate with risk, legal, and security for approvals. Define MLOps processes for versioning, evaluation, promotion, rollback, and monitoring (latency, cost, drift, hallucination rate, safety events). Instrument observability (logging, tracing, metrics) and error budgets; establish ...

stakeholders. At least 3 years of experience in AI solution engineering. Large Language Models experience including prompt engineering and RAG implementations. Expert data analytics, MLOps practices and API development. Desirable knowledge in Docker and Kubernetes ...

Cloud Functions/Cloud Run Solid Python experience for ML and data engineering workloads Experience productionising models (not just experimentation or notebooks) Understanding of MLOps concepts: CI/CD, monitoring, retraining, and model governance Ability to work independently in a contract environment and deliver at pace Nice to Have Experience ...

hypotheses through well-designed ML experiments. Hands-on experience creating and deploying AI/ML models , including Large Language Models (LLMs) . Understanding of MLOps principles and deploying models into production environments. Collaboration & Delivery Experience working within - and ideally leading - cross-functional teams . Ability to translate complex business challenges ...

prepare high-quality corpora for retrieval grounding. Familiarity with LLM evaluation frameworks, prompt-quality metrics, red-teaming, and hallucination/safety monitoring. Knowledge of MLOps patterns, experiment tracking, feature stores, and observability (logging, tracing, metrics) for LLM apps. ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 ...

ongoing BAU support and maintenance of data structures, schema, reporting etc. Work with the broader Engineering community to develop the client's data and MLOps capability infrastructure Ensure data quality, governance, and compliance with internal and external standards. Monitor and troubleshoot data pipeline issues, ensuring reliability and accuracy. ...

Lead the implementation of Generative AI models, LLMs, and agentic frameworks. Collaborate with stakeholders to define problem statements and solution approaches. Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. Ensure high-quality delivery and adherence … Azure, GCP) and their AI/ML services. Minimum 5 years in ML model development, data engineering, and software engineering. Minimum 3 years in MLOps and AI/ML deployment. Minimum **2 years in Generative AI, LLMs, and agentic frameworks. Preferred Experience with API Gateway development and deployment on Azure ...

technical and non-technical stakeholders Eligible for or holding SC clearance Desirable Experience: Familiarity with government AI standards, frameworks, or compliance requirements Experience with MLOps, monitoring, and evaluation of AI systems Prior consulting experience in central government or highly regulated sectors Reasonable Adjustments: Respect and equality are core values ...

Senior MLOps & Platform Engineer I'm working with a London-based AI company building Real Time, production-grade AI systems for the financial sector. They're focused on practical applications of machine learning and LLMs, with products already in use by trading and investment teams. They're now looking … Senior MLOps & Platform Engineer to take ownership of the infrastructure and platform layer that supports their machine learning workloads. Role : Senior MLOps & Platform Engineer Rate : £500 - £625 per day Duration : 6 months Location : London The role This is a hands-on engineering role focused on building, running, and scaling ...

into actionable AI roadmaps and solution designs. You will also guide implementation teams on best practices for prompt engineering, grounding strategies, RAG patterns, observability, MLOps, and Responsible AI-ensuring solutions are robust, compliant, and production ready. This role suits a hands on architect who can balance strategic vision with pragmatic … human in the loop review where needed. Ensure regulatory alignment (e.g., GDPR, ISO controls) and collaborate with risk, legal, and security for approvals. Define MLOps processes for versioning, evaluation, promotion, rollback, and monitoring (latency, cost, drift, hallucination rate, safety events). Instrument observability (logging, tracing, metrics) and error budgets; establish ...

Define and execute the enterprise AI & automation roadmap Identify high-value use cases (personalisation, dynamic pricing, forecasting, workforce optimisation) Own AI/ML platforms, MLOps and LLM architecture (Azure preferred) Lead end-to-end delivery from experimentation to scaled deployment Build and lead a multi-disciplinary AI team Embed responsible … scale AI/ML and intelligent automation Strong hands-on knowledge of cloud AI platforms, data engineering and LLM/RAG architectures Experience implementing MLOps, observability and model governance Commercially minded, able to link AI outcomes to revenue, efficiency and customer impact Background within consumer-led/B2C environments ...