1 to 25 of 90 MLOps Jobs in the UK excluding London

platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms ...

platform capability and implementation strategy Environment Python LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases and semantic search MLOps and LLMOps AWS, Azure, GCP, Databricks Containerisation, Kubernetes and GPU infrastructure Requirements Experience designing enterprise AI or ML architectures Strong understanding of cloud and modern data platforms ...

orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor ...

CrewAI . Data Architecture: Hands-on experience with Vector Databases (e.g., Pinecone, Milvus, Weaviate) and SQL/NoSQL systems. Infrastructure: Proven track record in MLOps , containerization (Docker/K8s), and cloud platforms (Azure/AWS). Ethical AI: A deep understanding of AI fairness, transparency, and regulatory compliance within ...

technical data engineering solutions, including architecture decisions and technology selection. Contribute to proposals, technical assessments, and internal knowledge sharing. Data preparation, feature engineering, and MLOps activities to collaborate with AI engineers, data scientists, and business analysts to deliver integrated solutions Essential Qualifications Degree or equivalent certification in Computer Science, Data ...

Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services ...

Python, SQL LLMs, prompt engineering, fine-tuning, RAG LangChain, LangGraph, Agent frameworks Vector databases, FastAPI, APIs AWS, Azure, GCP or Databricks CI/CD, MLOps and LLMOps Requirements Strong software or data engineering foundations Experience delivering AI or AI-enabled solutions Exposure to cloud and modern data platforms Financial Services ...

internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

internal stakeholders.** *Excellent coding practice using Python and associated ML packages (HuggingFace, TensorFlow, PyTorch), following best practices.** *Experience developing robust ML pipelines with MLOps tools for model training, monitoring and deployment.** *Experience of appropriate version control and environment management (such as venvs or Docker).** *Experience of writing technical project ...

/CD and infrastructure as code. • Experience of optimising systems for performance and scalability and reliability. • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena). • Knowledge of network protocols ...

Computer Science, Machine Learning, or a related technical discipline. Bonus Skills/Experience Public writing, talks, or threads about building with AI. MLOps and model serving experience (BentoML, MLflow, Vertex AI, SageMaker). Streaming and batch ingestion pipelines (Spark, Airflow, Beam, Glue). Healthcare or life sciences domain exposure. ...

Coaching and mentoring Data Scientists Improving model governance and ML best practice Tech stack Python, SQL, TensorFlow, PyTorch, AWS/Azure, SageMaker, NLP, LLMs, MLOps What we're looking for Strong commercial Data Science experience Experience leading teams or technical functions Strong cloud and ML deployment knowledge Experience delivering production ...

EXPERIENCE Strong experience delivering data science or machine learning solutions in production environments. Proven capability deploying and scaling models using appropriate engineering and MLOps practices. Advanced Python and SQL skills, with experience working in cloud environments such as AWS, GCP or Azure. Familiarity with modern tooling such as Databricks, version ...

accessible way Champion data quality, governance and engineering best practices Mentor junior engineers and help shape a culture of technical excellence Collaborate with Cloud, MLOps and Analytics teams to deliver end-to-end solutions Support proposals, demos and client relationship development where needed What we’re looking for: 5+ years ...

Learning Applied machine learning, computer vision, object detection, image classification, model development and evaluation, data annotation and curation, training pipelines, performance optimisation, edge ML, MLOps, deployment and maintenance of ML solutions, Python development, Python-based ML frameworks, PyTorch, TensorFlow, sklearn, OpenCV, NumPy, feature development, code review, pytest, linting, bug fixing ...

/ML solutions Define and influence data & AI strategy at enterprise level Design scalable solutions across cloud ecosystems (AWS, Azure, GCP) Lead implementation of MLOps frameworks and model lifecycle management Architect advanced AI use cases (NLP, LLMs, Agentic AI) Drive best practice across data governance, modelling, and platform design Engage ...

with exposure to big data or ML frameworks Experience working with cloud platforms such as Azure, AWS or GCP Understanding of CI/CD, MLOps or infrastructure-as-code practices Confidence communicating technical concepts to non-technical audiences Eligible for SC clearance (5+ years continuous UK residency) What ...

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 ...

GenAI solutions, from data preparation through to production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable ...

Cloudflare, Akamai, Kubernetes networking Experience with edge computing or hybrid cloud Familiarity with FinOps or cloud cost optimization AI/ML infrastructure support (e.g., MLOps pipelines) About Us Markerstudy Insurance Services Limited (MISL) is one of the largest Managing General Agents in the UK. With a strong presence ...

deploy ML models (NLP, deep learning, AI applications) Work with streaming and batch data pipelines across cloud platforms Implement CI/CD and MLOps frameworks Collaborate with cross-functional teams to deliver data-driven solutions Support data modelling, governance, and quality initiatives What were looking for Experience with Python ...

Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/CD approaches to improve reliability and efficiency. Contributing to a culture of knowledge-sharing and continuous improvement. Key Skills & Experience Strong ...

commercial problems Develop, validate, deploy, and monitor machine learning models in production environments Build and maintain end-to-end data science solutions using modern MLOps practices Use cloud-based platforms (notably Databricks) to develop scalable data products Translate complex analytical outputs into clear, business-focused insights Collaborate with technical ...

Senior/Mid-Level MLOps Engineer Manchester (Hybrid) £45,000 - £80,000 + Bonus A fast-growing AI & Machine Learning consultancy is looking to hire multiple MLOps Engineers as they scale their technical team following continued growth across major public sector and enterprise projects. This is an opportunity to join … impact environments. What you’ll be doing: Building and deploying production-grade ML systems Working across cloud infrastructure, automation and model serving Designing scalable MLOps pipelines and infrastructure Collaborating closely with engineers, data scientists and clients Contributing to architecture decisions and engineering best practices Supporting the deployment and monitoring ...

system design. Desirable (AI & Data) Vector DBs: Milvus, Weaviate, Pinecone Data orchestration: Airflow, Prefect, Dagster Search: ElasticSearch/OpenSearch AI frameworks: LangChain, Hugging Face MLOps: MLflow, Kubeflow If you are looking for an opportunity to work on mission-critical systems at the forefront of UK National Security? Apply ...