1,576 to 1,600 of 1,873 Remote Machine Learning Jobs

monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs … in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid working arrangement: 2 days in the Warwick office and 3 days from home. Our client offers a competitive salary More ❯

pipelines, and monitoring inference efficiency. Collaborate with product, research, and engineering teams to integrate AI solutions into production systems. Qualifications: Bachelors or Masters degree in Computer Science, AI/ML, or a related field. 5+ years of experience in AI/ML engineering, with a focus on large language models and AI operations. Strong expertise in designing and deploying LLMs … in production environments. Experience with multi-agent systems, orchestration, and workflow automation. Proficiency in Python, AI/ML frameworks (PyTorch, TensorFlow, or similar), and cloud platforms (AWS, GCP, Azure). This is a full-time, permanent role, with a flexible hybrid working arrangement: 2 days in the Warwick office and 3 days from home. Our client offers a competitive salary More ❯

a rare opportunity to have a direct impact on the business, working closely with the founders and leadership team. What You’ll Do: Design, build, and deploy AI/ML models powering the core platform. Create scalable AI infrastructure, data pipelines, and deployment workflows. Collaborate with product and engineering to turn business problems into AI solutions. Experiment with the latest … AI techniques to innovate and deliver real-world impact. Mentor future AI/ML hires as the team grows. What We’re Looking For: Proven experience in AI/ML, ideally from a startup or high-growth scaleup environment. Expert in Python and frameworks such as PyTorch or TensorFlow. Experience deploying AI models in production, preferably in cloud environments (AWS More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working 2 days in office/3 days remote Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. "GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

class prompts and interaction patterns to ensure consistency and reusability. Person Specifications: Core Qualifications (Must-Haves) Experience: 2-3 years of hands-on professional experience in an AI Engineer, ML Engineer, Data Scientist or Python development role with a focus on AI/ML applications. Prompt Engineering: Proven ability to design and iterate on prompts for real-world LLM applications … e.g., Google Cloud Run, AWS Lambda) is a plus. Our generous benefits package includes: Hybrid working [ 2 days in office/3 days remote] Private Health Insurance Employee Wellbeing Learning and Development Programmes Staff social engagement activities More benefits are available and will be discussed once successful. These benefits are applicable to Malta based candidates. “GIMO is committed to More ❯

Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting … in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security More ❯

Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting … in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security More ❯

Integrations: Implement new connections and be the master and owner of these integrations. - Optimize AI Pipelines: Ensure our AI pipeline works like clockwork. Improve and support its complex infrastructure. - ML Experience: Practical experience with ML, including classification, clustering, time series forecasting, and anomaly detection. You need to know the concept and be handly with the most common libraries - Model Hosting … in building and monitoring production services or APIs. Experience with third-party APIs is essential. - Data Pipelining: Experience with SQL, ETL, data modeling. Experienced with the lifecycle of building ML solutions - Speak AI language: Understand the fundamentals of ML/AI and communicate effectively with AI and Data Scientists. - Infra: Deep Knowledge of Docker, Git, cloud networking, and cloud security More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

to the CMO (also CIO/CPO), lead a small DS team, and work cross-functionally with product, tech, innovation, and local business units. Responsibilities Set the AI/ML roadmap Lead model development (personalisation, churn, pricing) Scale internal GenAI tools across markets Ensure compliance (GDPR, EU AI Act) Influence senior stakeholders incl. CMO, CTO, CEO Requirements 10+ years in … ML/DS, including senior leadership Hands-on background in model deployment Strong B2C experience (e.g. ecommerce, gaming, telco) MSc required; PhD optional Executive-level stakeholder management Exposure to GenAI and cloud ML stacks (Databricks, Azure, AWS) Pathway to Chief Data Officer Interested? Please apply below. More ❯

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

Staff Software Engineer – AI/ML (London (Hybrid – 2 days per week in office) An opportunity to take on a high-impact, hands-on leadership role within a scaling global SaaS company that’s using AI to reinvent how internal business systems and data work together. As a Staff Software Engineer (AI/ML) , you’ll be the technical lead … with large language models — creating intelligent tools and insights that enhance the way teams operate. What You’ll Do Lead the design, architecture, and implementation of internal AI/ML systems for business intelligence. Build robust APIs, microservices, and data pipelines to power intelligent, data-driven tools. Develop retrieval-augmented generation (RAG) systems using vector databases for contextual AI. Set … backend or full-stack engineering, ideally within a SaaS or data-driven business. Strong knowledge of LLMs , prompt engineering, and fine-tuning approaches. Hands-on experience with AI/ML pipelines and vector databases (e.g. Pinecone, FAISS, Weaviate). Proficiency in Python plus at least one other backend language (TypeScript or Java preferred). Proven experience with AWS , containerisation, and More ❯

with strong flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt … safety). Optimise models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector … databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the London More ❯

with strong flexibility for remote work. Your Role Design, build, and deploy generative AI systems (LLMs, retrieval-augmented architectures, embedding pipelines, agents) from prototype to production. Lead the full ML lifecycle: data extraction, modelling, fine-tuning, training, inference, deployment, and monitoring. Collaborate with product, engineering, and data teams to translate business needs into working AI solutions. Establish standards for prompt … safety). Optimise models for scalability, latency, cost, and accuracy in live environments. Mentor engineers and raise the overall technical bar of the team. You Bring 5+ years of ML/AI engineering experience, including 3+ years deploying generative AI (LLMs, fine-tuning, RAG) in production. Strong technical grounding in Python, TensorFlow/PyTorch, transformer architectures (GPT, Llama, Mistral), vector … databases, and prompt engineering frameworks. Proven record of delivering measurable ROI from AI projects. Solid engineering fundamentals: version control, CI/CD for ML, observability, API integration, and cloud infrastructure (AWS/Azure/GCP). Confident communicator able to explain complex trade-offs to non-technical stakeholders. UK-based and available for two days per week in the London More ❯

and implement processes and automation in Jira Design, document, and implement integrations between Jira and the data warehouse Create analytical dashboards to enable stakeholders make data-driven decisions Create learning resources that scale Work with engineering, operations, and support teams at a global scale Take ownership of critical escalations and resolve them in a timely manner What we are … which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new … days ago Rotterdam, South Holland, Netherlands 3 days ago Software Engineer - Python - Container Images Rotterdam, South Holland, Netherlands 4 months ago Python and Kubernetes Software Engineer - Data, AI/ML & Analytics Rotterdam, South Holland, Netherlands 6 months ago Rotterdam, South Holland, Netherlands 1 month ago Software Engineer - Python - Container Images Rotterdam, South Holland, Netherlands 2 months ago Distributed Systems Software More ❯