51 to 75 of 182 MLOps Jobs in the UK

thinking DevSecOps Engineer to join our Defence client, offering a unique opportunity to work at the forefront of secure, scalable software delivery across DevSecOps, MLOps, and cloud technologies. In this role, you will help push the boundaries of what's possible-from securely updating deployed equipment to enabling resilient, high ...

should be comfortable designing data persistence layers using PG Vector, Pinecone, Milvus, or Mongo Atlas to handle large amounts of unstructured data. The MLOps Engineer: You don't just write code; you ship it. Our client requires experience deploying GenAI models into production using Kubernetes (or OpenShift) and establishing robust ...

need everything pinned down before you start, this probably isn't the right fit. Nice to have Some experience with machine learning, specifically BigQueryML, MLOps or Gen AI applications. Experience working with big data at scale. The benefits Bupa healthcare from day one. Income protection if you're unable ...

These are helpful, but not essential: Cybersecurity experience Penetration testing exposure Vulnerability management knowledge Agent-based system design Content analysis or anomaly detection experience MLOps understanding Enterprise environment experience Change control awareness KPI or ROI tracking experience Leadership or mentoring capability Product or solutions thinking Why Join/Projects ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment. Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript. What will give you a competitive edge (preferred qualifications): Expert-level understanding of NLP, Embeddings, and Prompt ...

years of experience in software engineering with a proven track record in a DevSecOps and Agile environment.* Deep practical experience with RAG, LLMs, and MLOps, alongside expert proficiency in Python, React, and TypeScript.**What will give you a competitive edge (preferred qualifications):*** Expert-level understanding of NLP, Embeddings, and Prompt ...

technical programs Preferred Qualifications Experience delivering AI/ML-based products or platforms. Familiarity with the AI/ML lifecycle (model training, deployment, monitoring, MLOps). Experience working in platform engineering, developer tooling, or internal infrastructure teams. Prior experience as a senior software engineer, architect, or engineering lead Experience ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

related fields. Strong knowledge of AI, machine learning, deep learning, and probabilistic modeling. Proficient in Python, PySpark, data modeling, and microservices. Experience in MLOps, AI lifecycle management, and LLM orchestration on cloud platforms (AWS, GCP, Azure). Familiar with DevOps tools (Azure DevOps, GitHub Actions, Jenkins, Terraform, AWS CloudFormation). ...

fine-tune LLMs using PEFT techniques like LoRA. Data Engineering: Design and maintain robust ETL/ELT pipelines to process structured and unstructured data. MLOps & Infrastructure: Automate CI/CD pipelines, manage cloud/container infrastructure (Docker, Kubernetes), and oversee secure model deployment and performance monitoring. Responsible AI: Build trustworthy ...

performing consulting and AI teams We’re looking for: • Proven success leading large AI consulting sales and transformations • Deep understanding of GenAI, LLMs, RAG, MLOps and enterprise AI delivery • Strong experience across Telecoms, Media or Technology sectors • Executive-level communication and stakeholder management skills • Experience leading multi-disciplinary teams ...

Practical understanding of LLMs, RAG patterns, embeddings, and prompt engineering Strong engineering background in Python and/or TypeScript/JavaScript Experience with APIs, MLOps, integration layers, and AI service interfaces Experience with evaluation frameworks and measuring AI output quality Understanding of predictive analytics or anomaly detection on structured operational ...

frameworks. Generative AI: Proven expertise in Prompt Engineering and fine-tuning pre-trained models. Engineering: Proficiency in Python and experience designing data pipelines and MLOps workflows. Communication: Ability to translate complex technical findings into actionable insights for non-technical stakeholders. Randstad Technologies is acting as an Employment Business in relation ...

Working closely with product, engineering, and business stakeholders to define requirements and trade offs. Deploying models using cloud infrastructure, CI/CD pipelines, and MLOps best practices. Taking responsibility for monitoring, performance, and ongoing improvement of live models. Your Skills and Experience Strong commercial data science experience with a solid ...

processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

Adaptive Decision Manager in production environments is highly desirable. * Exposure to real-time decisioning, customer engagement, or personalisation use cases is advantageous. * Familiarity with MLOps practices and model monitoring frameworks is beneficial. How to Apply If you are looking for a senior data science role where you can combine technical ...

deployment (Azure preferred) SQL experience for querying and validating relational data Python or JavaScript experience for scripting and integrations Familiarity with CI/CD, MLOps, or AI monitoring practices Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates ...

OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must ...

OpenAI, Document Intelligence (Form Recognizer), and Cognitive Search. Data Engineering: Expert proficiency in Python and PySpark for large-scale data processing. Operations: Familiarity with MLOps or LLMOps frameworks to support production-grade AI. Seniority: 15+ years of total IT experience, showing a clear progression into technical leadership. Candidate Profile Must ...

Preferred Experience with multimodal reasoning Experience with edge or offline AI deployments Familiarity with Kubernetes (EKS/OpenShift) for monitoring and managing deployed applications MLOps experience - model evaluation, monitoring, reproducibility Observability tooling for agentic systems (model drift, agent behaviour, performance monitoring) Experience with agent orchestration patterns and inter-agent communication ...

copilots/agents (e.g., vibe coding) to validate value and architectural fit Core Skills AI/ML and GenAI fundamentals (LLMs, RAG, AI agents, MLOps) Business consulting, problem framing, and architecture-to-value storytelling Program leadership and stakeholder management across product, engineering, and architecture teams Commercial acumen and deal shaping ...

Have moved fully into leadership and no longer build models themselves Prefer purely strategic or advisory positions without technical ownership Are focused on infrastructure, MLOps or engineering rather than modelling Want a large team or established function around them from day one This is a role for someone who wants ...