26 to 50 of 78 Remote/Hybrid MLOps Jobs

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). ...

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 ...

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 ...

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 ...

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 ...

this role, you will: Architect and drive the end-to-end AI transformation across N26. This technical leadership role involves designing the MLOps infrastructure for scalable Generative AI solutions, establishing robust enterprise-wide technical standards for responsible AI governance, and championing the organizational and cultural change necessary to integrate ...

this role, you will: Architect and drive the end-to-end AI transformation across N26. This technical leadership role involves designing the MLOps infrastructure for scalable Generative AI solutions, establishing robust enterprise-wide technical standards for responsible AI governance, and championing the organizational and cultural change necessary to integrate ...

prioritise reliability improvements. Desirable skills Experience operating GPU‐backed environments or large‐scale ML infrastructure. Experience running model training or inference pipelines in production (MLOps). Familiarity with infrastructure‐as‐code (e.g., Terraform) and secure cloud production environments. Experience defining and running SLOs/SLIs and building reliability programs across ...

stakeholders to translate business requirements into actionable technical solutions , manage delivery risks, and prioritise backlogs. Establish and enforce engineering best practices , including DevOps/MLOps, coding standards, testing frameworks, and documentation. Design and deliver innovative, scalable, secure, and sustainable solutions aligned with industry standards. Facilitate workshops and stakeholder engagement sessions ...

Experience with agent frameworks, tool-use planning and workflow orchestration Systems-level fluency across data pipelines, training infrastructure and inference (PyTorch, JAX, TensorFlow) Strong MLOps discipline: CI/CD for models, offline/online evaluation, safety and guardrails The ability to influence at exec level and mentor senior technical talent ...

MLOps Platform Manager, Palantir Fully Remote | 6 Month Contract | Outside IR35 | £550 to £650 per day Overview A leading organisation is looking for an MLOps Platform Manager to take ownership of its Palantir and production ML platform environment, covering Foundry, AIP and wider MLOps services . The role will focus … products into production in a structured and repeatable way. The Role This is a delivery-focused platform ownership role, sitting across: Palantir platform operations MLOps enablement Service management Security, governance and compliance Supplier and vendor management You will be responsible for the day-to-day running and improvement of Palantir ...

thermal, radar) Model optimisation/deployment tooling (ONNX, TensorRT) Edge deployment experience (e.g., NVIDIA Jetson or other resource-constrained devices) Familiarity with MLOps tooling (e.g., DVC, MLflow) Relevant open-source contributions in computer vision Interested? If this sounds like you, apply with your CV or get in touch to discuss ...

agent frameworks , vector databases , and LLM orchestration tools . Ability to lead multi-disciplinary teams and manage complex AI projects. Advanced proficiency in Python , MLOps, and software engineering principles. Experience setting technical standards, governance frameworks , and performance benchmarks. Strong consulting mindset with the ability to translate emerging technology into business ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

organisations solve complex operational, technical and regulatory challenges through AI adoption at scale. You will work across multidisciplinary teams, collaborating with data scientists, architects, MLOps/LLMOps engineers, business stakeholders and senior leadership to design, deliver and scale AI products, agentic AI solutions and data driven applications. Key responsibilities: Building … Using Python and SQL to build robust, scalable AI and data solutions Working with cloud platforms such as AWS, Azure, GCP or Databricks Supporting MLOps, LLMOps, CI/CD and software engineering best practice Collaborating with technical and non-technical stakeholders across complex programmes Helping identify technical, delivery, security, data ...

Senior AI Engineer (Python LLM MLOps) London/WFH to £90k Are you an experienced Software Engineer with a strong knowledge of AI, LLMs and agentic coding? You could be progressing your career at a global finance technology consultancy, working with clients including global Investment Banks and financial services organisations ...

Inside IR35) What you'll do Build and ship end-to-end AI/ML features, from data ingestion and training to deployment, MLOps workflows, CI/CD, and model versioning Develop LLM/GenAI solutions: prompt engineering, RAG pipelines, embeddings, vector search, and inference optimisation (LoRA/PEFT, quantisation …/microservices development, GCP (Vertex AI, BigQuery), CI/CD, and containerisation (Docker, Kubernetes) Nice to have: ML frameworks (PyTorch, TensorFlow, Hugging Face), MLOps practices, API Gateway/ISTIO, IAM/data governance, Responsible AI standards AI Architect Position Contract Length - 6 months (potential for extension) Location - London (Hybrid ...