26 to 50 of 52 Remote/Hybrid MLOps Jobs

encompassing applications, cloud, and integration architectures, including microservices, APIs, and event-driven systems. Good understanding of AI concepts, architectures and integration patterns, including Agentic, MLOps and data pipelines. Good understanding of security & compliance requirements including how they are applied to solution design and delivery. Strong client-facing consulting skills, including ...

steering committees. Supervising and mentoring team members on code, deployment, and best practices. Architecting and deploying robust, scalable solutions using modern cloud technologies and MLOps principles. Qualifications Necessary education and experience Education : A Bachelor's or Master’s degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related quantitative … implement a range of complex models such as time-series forecasting, gradient boosting, clustering, NLP, and Bayesian inference. ML-Ops & Orchestration : Strong experience with MLOps tools for orchestration, experiment tracking, hyper-parameter tuning, and deploying automated model retraining pipelines. Programming & Data Engineering : Proficiency in object-oriented Python, advanced dataframes (Polars ...

integrate AI and ML solutions with existing insurance platforms and enterprise systems. Collaborate with enterprise, application, data, and DevOps architects, along with data scientists, MLOps engineers, GenAI engineers, and business teams to design architecture and pilot use cases. Evaluate and select appropriate technologies from open-source and commercial ecosystems, considering … embeddings, vector databases, and semantic search tools Experience using deep learning frameworks and tools such as PyTorch, TensorFlow, and LangChain. Experience designing and implementing MLOps frameworks that support robust model training, testing, monitoring, and continuous improvement lifecycles. Experience developing and integrating APIs, particularly for serving machine learning models. Experience building ...

MLOps Engineer London Based - Hybrid (Three days per week on site)£90,000 to £110,000 plus bonus This is an exciting opportunity to join a mission driven cleantech scale up as they continue to grow their data and AI function. You will help shape a modern MLOps environment, working … would be joining a small, high impact data group with experienced engineers and the opportunity to take real ownership. The Role In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems. Responsibilities include: Supporting data scientists and AI engineers to build, deploy ...

cloud computing (ideally AWS) Strong experience across industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities ...

GDPR/DPA 2018); hands-on with platforms such as Microsoft Purview, Azure ML, Databricks, Power BI, Collibra, or Alation; exposure to MLOps practices. ...

data platform Creating architectural coherence across siloed systems Leading end to end machine learning from feature engineering through to production deployment Embedding robust MLOps and model performance monitoring Improving ingestion, transformation and production readiness of data Defining and owning a multi-year data and AI roadmap aligned to business growth ...

feature engineering through to deployment Improving neural network and rule based matching systems used to identify the same entities across different sources Embedding robust MLOps and model monitoring Building a coherent data architecture that supports future AI development Leading and developing a team of Data Scientists and Data Engineers ...

. Background in edge/on-device deployment with memory and latency constraints. Contributions to open-source agent frameworks. Experience operating ML platforms or MLOps infrastructure. Experience with systems languages (Go, Rust) for performance-sensitive components. Public technical contributions (talks, publications, blog posts) in AI/agent systems. Qualifications 8+ ...

communicate solutions that enable data- and AI-driven business outcomes. This role supports the organisation in maximising productivity and innovation through reliable AI platforms, MLOps practices, and cloud-based digital transformation initiatives. What you’ll be doing: As a Digital and AI Support Apprentice, you will be supported to: Adopt ...

commercial sales context. Clearly document PoV setup, data limitations, and technical decisions to support internal handover, reuse, and consistency. Collaborate closely with DataOps, MLOps, Sales, and Product teams to deliver PoVs efficiently and to an agreed quality standard. Maintain demo and PoV environments in line with product releases, platform capabilities ...

services. AI & ML Leadership Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems. Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models. Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent … data governance, and quality frameworks. Implementing technical reviews and driving high standards. Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform. Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps). Stakeholder Engagement: Engage ...

engineering tasks to ingest, clean, and structure data from varied sources. Pipeline Management: Oversee the end-to-end data lifecycle within Azure , ensuring robust MLOps practices. Required Skills & Experience Education & Technical Foundations Degree: Bachelor’s or Master’s degree in STEM, Computer Science, Mathematics, Statistics , or a related quantitative field. … with the ability to handle large, complex datasets independently. Collaboration: Proficient in Git and comfortable working with Excel for stakeholder data exchange. Cloud & MLOps: Hands-on experience with Azure , MLOps pipelines, and API frameworks. Analytical & Commercial Skills Experimentation: Deep understanding of statistical methods, specifically A/B testing , hypothesis testing ...

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 ...

looking for a skilled AWS MLOps Engineer to help deploy, automate, and manage production-grade machine learning solutions within our clients AWS environment. This is a great opportunity for a MLOps Engineer to become a vital part on a new data team. This is a hybrid role with the expectation ...

reporting teams. Work closely with stakeholders across Data, Product, and Leadership to translate requirements into robust data solutions. Support the organisation's move toward MLOps-ready platforms and processes. Your Skills and Experience You will be required to have experience in the following tools: Strong commercial experience building and maintaining … working with occasional monthly travel. A chance to shape a greenfield data platform in a growing tech function. Opportunities for progression across Data Engineering, MLOps, and DevOps practices. How to Apply If this sounds like the next step in your data engineering career, please apply with your ...

resource plans, timelines, and risk frameworks 🏗 Design AI Architectures Translate requirements into scalable AI/ML solutions Design architectures covering: Model development Data pipelines MLOps and monitoring Cloud integration (Azure, AWS, or GCP) Validate feasibility with engineering and delivery teams ✍️ Lead Tender & Bid Responses Own technical sections of AI RFPs … capability in scoping AI/ML programmes and estimating effort Deep understanding of: Machine learning (supervised & unsupervised) Generative AI & LLMs Embeddings, vector databases, RAG MLOps and model lifecycle management Experience with platforms such as: Azure ML, AWS SageMaker, Google Vertex AI Databricks, LangChain, Hugging Face Ability to develop architecture artefacts ...

Machine Learning Engineer (MLOps) Location: Oxfordshire, UK Permanent HYBRID 3 days per week onsite ARCA Resourcing is partnering with an innovative, established but scaling technology company in Oxfordshire to recruit a Machine Learning Engineer (MLOps). This role offers the opportunity to work at the forefront of advanced computing … Computer Science, Mathematics, Statistics, Physics, or a related field Experience deploying machine learning models to edge or embedded compute hardware Experience with MLOps workflows, including continuous training, testing, and deployment pipelines Experience with real-time systems, sensor data processing, or advanced signal processing Exposure to quantum technologies, quantum information science ...

continuous improvement. Enable Others: Share expertise and help make AI approachable, enabling teams across the organisation to enhance their work with AI. Lead in MLOps & Cloud Infrastructure: Build robust pipelines for model training, deployment, monitoring, and retraining using AWS and modern MLOps best practices. Champion Innovation: Stay ahead of emerging … APIs, microservices, and cloud-native applications. Modern AI Tooling: Familiarity with emerging AI development tools such as Cursor and Gemini is highly desirable. Cloud & MLOps: Practical experience deploying AI solutions on AWS, including CI/CD, model versioning, observability, and retraining pipelines. Data Fluency: Skilled in working with structured ...

Lead AI Engineer £80,000 - £90,000 Sheffield (Hybrid, 1-2 days a week) A rare opportunity to step into a Lead level role where you will shape a new AI function and play a ...

across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data-driven outcomes. You should also … data management initiatives Develop, test and deploy new platform capabilities Troubleshoot and enhance existing analytics services Provide hands-on support to Data Scientists and MLOps teams Tackle complex engineering challenges across a varied tech stack Requirements: Strong experience with Python Experience with Kubernetes and Docker Understanding of CI/ ...

This is a fantastic opportunity to work as an MLOps Engineer on a remote basis, outside IR35, for a major pharmaceutical company. The key skills required for this MLOps Engineer position are: MLOps Image data AWS PyTorch, TensorFlow, JAX If you do have the relevant experience for this long term … remote contract MLOps Engineer role, outside IR35, please do apply. ...

Senior Data Scientist London, hybrid 1 to 3 days per week. Competitive salary between £60,000 and £70,000 plus bonus and benefits. This is a rare opportunity to build a data science capability from ...

Machine Learning Engineer (Python AWS MLOps) Remote UK to £90k Are you a tech savvy Machine Learning Engineer with experience of implementing ML algorithms into production? You could be progressing your career in a senior, hands-on role as part of a friendly and supportive international team at a growing … other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Senior Machine Learning Engineer (Python AWS MLOps) opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal ...

enterprise AI strategies, including vision definition, business case development and value-mapping across GenAI and traditional ML use cases Translating complex AI technologies (LLMs, MLOps, RAG, vector databases, governance frameworks) into business-led priorities and executable roadmaps Advising senior stakeholders on AI adoption sequencing, readiness assessments and investment planning Identifying … subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS AI Strategy, Enterprise AI, Generative AI, LLM, MLOps, RAG, AI Governance, Business Case Development, Public Sector, Enhanced ...