26 to 50 of 182 MLOps Jobs in the UK

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 ...

teams Desirable Experience Previous experience within aviation, airlines or travel technology environments Experience with AI automation tooling, prompt engineering and LLM implementation Exposure to MLOps and production AI environments Understanding of responsible AI, governance and compliance considerations Experience contributing to technical thought leadership, industry events or customer presentations Exposure ...

global technology consultancy delivering large-scale AI, data, and cloud programmes across government and defence. This role sits within a specialist Data Science and MLOps capability focused on deploying real-world machine learning and GenAI solutions in highly secure environments. This is a hands-on, delivery-focused position. ...

domains. Ability to lead architectural discussions and technical trade‐offs without losing sight of the details. Familiarity with cloud infrastructure (AWS preferred) and modern MLOps practices. Commitment to people development: mentoring, performance conversations, and building high‐performing teams. Bonus: experience with NLP on financial contracts, RAG or LLM‐based applications ...

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 ...

data or RegTech environments.* Experience managing AI systems in production environments or high‐scale data and ML platforms.* Experience in working with teams in MLOps, DevOps, or large‐scale compute environments (e.g., GPU clusters, cloud orchestration, Kubernetes).* Experience with Generative AI evaluation, agent testing, or AI safety frameworks.* Track ...

Development & Deployment Design and implement production-grade AI/ML solutions, covering data ingestion, model development, deployment, monitoring, and maintenance. Develop end-to-end MLOps pipelines, ensuring automation, reproducibility, and scalability. Advise on and help to optimize production AI models for real-world constraints, such as latency, resource usage … C#, C/C++, Java, Go Machine Learning & AI stacks, including: TensorFlow, PyTorch, Scikit-learn, Transformers, LLMs. Customization: fine-tuning, RAG, other related methods. MLOps & DevOps: MLflow, TFX, Kubeflow, Docker, Kubernetes, CI/CD terminology and pipelines in GIT, Jira Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning ...

/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 ...

hardware or science‐focused teams. Exceptional communication and leadership skills. Nice‐to‐Have Prior experience in startups or multi‐disciplinary product environments. Familiarity with MLOps and embedded systems integration. Background or interest in scientific/biological domains. Our Tech Stack (Current & Planned) Frontend: React, TypeScript Backend: Node.js, Python, REST & GraphQL ...

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 ...

experience (3 years) in AI solution engineering, with a focus on large language models, prompt engineering, and RAG implementations. Strong skills in data analytics, MLOps practices, and API development. Knowledge of governance frameworks for AI/ML models. Python expertise for automation. Experience working with large datasets and deploying ...

into AI-led solutions Advise stakeholders on AI strategy, feasibility, and roadmap Leadership: Guide and mentor AI/engineering teams Set best practices across MLOps/LLMOps/AI governance Contribute to reusable frameworks and accelerators What youll need (must-have): Experience as an AI Architect/ML Architect/ ...

validating continuous monitoring frameworks for AI models. Experience with Azure Databricks, MLflow, Azure ML Services or similar platforms. Experience working within DevOps or MLOps environments. Experience with Docker and Kubernetes. Existing network within the UK AI, analytics or technology ecosystem. ...

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 ...

LLMOps) . Strong familiarity with Snowflake, Databricks, Azure/AWS/GCP data services, Kafka, Delta/Iceberg, Power BI/Tableau , and MLOps tooling. Demonstrated account growth and commercial ownership (SoW creation, pricing, margin, change orders). Executive presence: can influence C-suite and business stakeholders; excellent storytelling ...

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 ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...

LLMs and RAG architectures. Python: Strong proficiency alongside PySpark for data engineering. Azure: Deep familiarity with native tools (AI Search, Document Intelligence). MLOps: Understanding of LLMOps frameworks for production deployment. 6 Months Remote Contract | £600 a day inside IR35 | Active Security Clearance Are you a seasoned technical leader with ...