476 to 500 of 1,738 Remote Machine Learning Jobs

Senior AI Engineer to join a dynamic team working on cutting-edge industrial and customer-focused AI initiatives. Key Responsibilities: Lead the design, development, and deployment of AI and machine learning solutions for enterprise environments. Apply advanced techniques such as deep learning, graph neural networks, object detection, sensor fusion, vector embedding, retrieval augmented generation, and generative AI. … and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as reliability, corrosion, WRFM, and process engineering. Exposure to customer platforms and trading ERP systems. Experience with Azure ML Studio, Foundry, or Databricks Mosaic. Knowledge of NLP, LLM deployment, Agentic AI (MCP, A2A, N8N), and RAG systems. This is a fantastic opportunity to work on high-impact AI projects More ❯

in data analysis, visualization, and storytelling. Proven ability to explain complex concepts to non-technical audiences. Desired: Experience working in consulting, legal, or other professional environments that require continuous learning and regular communication of complex or challenging subject matter to business stakeholders. Skills: Expertise in: Microsoft Office Suite; database querying using SQL; and data analysis tools, including SQL, DAX … visualization tools (Tableau and Power BI preferred) and data visualization, UI/UX, and wireframing best practices. Data architecture principles; data warehouses (Snowflake preferred); and API integrations. Familiarity with: Machine learning and statistical modeling techniques. Project management tools and UAT processes. Other required skills: Excellent oral and written communication skills, including presentation, training, reading, writing, and listening. Strong … critical-thinking and problem-solving skills, including the ability to identify root causes and develop innovative solutions. High attention to detail and strong commitment to accuracy. Aptitude for quickly learning new technologies, industries, and tools. Ability to collaborate effectively with individuals at all organizational levels. Sound judgment, discretion, and professionalism in handling sensitive and confidential information. Demonstrated ability to More ❯

sourcing, dbt, or related data transformation tools Familiarity with PostgreSQL and cloud-native data services (Azure Event Hub, Redshift, Kinesis, S3, Blob Storage, OneLake, or Microsoft Fabric) Understanding of machine learning model enablement and operationalisation within data architectures Experience working within Agile delivery environments If you are an experienced Senior Data Engineer with strong expertise in Databricks , Azure More ❯

processing, and analysis, to simulation and car setup optimisation, to trackside operational decision-making tools such as race strategy. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focussed platforms and solutions. As a Senior Specialist Software Engineer, your role will combine elements of technical leadership, agile/ More ❯

BDD, Performance/Load testing etc. DevOps experience - CI/CD, Test Automation, Containerization - tools and processes. Should be conversant with emerging technologies - chatbots, voice/conversational interfaces, RPA, Machine Learning, etc. In-depth, hands-on experience in developing web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such More ❯

AWS (BigQuery, Dataflow, ADF, Glue, or similar). Comfortable working autonomously in a fast-moving environment, with the curiosity and initiative to explore new data technologies. Familiarity with LLMs, ML pipelines, or data science workflows is a plus. Knowledge of financial services, compliance, or regulatory data is beneficial but not essential. Tech Stack Languages: Python (FastAPI, Pandas, PySpark) Databases: MongoDB More ❯

for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently More ❯

for data extraction, transforming JSON & XML, utlising high experience within metadata management. Collaborate with data engineers to develop data, enrich product design and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects and engineers. To work independently More ❯

and sensitive data handling. Frontend experience (React/Next.js) for rapid prototyping of client demos. What we offer Work on impactful, cutting-edge products powered by artificial intelligence and machine learning. Be part of an agile, close-knit team that values creativity, quality, and continuous learning. A flexible working environment, with typically 2 days of hybrid working in our More ❯

and sensitive data handling. Frontend experience (React/Next.js) for rapid prototyping of client demos. What we offer Work on impactful, cutting-edge products powered by artificial intelligence and machine learning. Be part of an agile, close-knit team that values creativity, quality, and continuous learning. A flexible working environment, with typically 2 days of hybrid working in our More ❯

and sensitive data handling. Frontend experience (React/Next.js) for rapid prototyping of client demos. What we offer Work on impactful, cutting-edge products powered by artificial intelligence and machine learning. Be part of an agile, close-knit team that values creativity, quality, and continuous learning. A flexible working environment, with typically 2 days of hybrid working in our More ❯

Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data models Experience in data engineering or AI/ML projects Experience in transforming legacy systems and platforms into modern, scalable, and efficient technology stacks Understanding of popular sales methodologies/frameworks such as MEDDPICC/Command of the Message More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

ecosystems Visualisation & APIs: REST/JSON, Postman, Flask/FastAPI, Power BI/Tableau, D3.js DevOps & Cloud: CI/CD, Docker, AWS (S3, Lambda, SageMaker), Kubernetes, Terraform/CDK ML Ops & Automation: MLFlow, feature stores, model monitoring, A/B testing Data Security & Compliance: Secure SDLC, ISO/NIST, data governance, GDPR-compliant pipelines Collaboration & Control: Git-based workflows, Jira … current). Nice-to-haves 🌳 Military background (RAF, Army, Navy) or MOD/National Security project experience. Experience with Palantir Foundry (full training provided). Familiarity with AI/ML Ops pipelines , real-time analytics, or edge deployments. Big Data stack knowledge (e.g., Hadoop, Spark, Kafka). GenAI/LLM experience (e.g., AWS Bedrock, LangChain). Why this is a … impact: Work on projects where data-driven decisions have real-world consequences. Growth: Multiple openings from mid-level to Principal; training & leadership opportunities. Tech & training: Palantir certification & AI/ML training included. Culture: Perfect for veterans and security-cleared professionals seeking purpose-driven work. Trajectory: Series A-funded, one of the fastest-growing UK tech start-ups in defence data More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

looking for an AI analytics engineer/data focused developer. You’ll join our London office to drive development of Savantiq’s analytics capabilities: from statistical modelling and custom ML models, to retrieval systems and fine-tuned LLMs. You’ll work directly with the CTO, shaping cutting-edge tools that transform deal-making in M&A, PE, and VC - with … even further. The role is in person in London. Skills Core Solid foundation in statistical modelling and data-driven problem solving, with hands-on experience with a range of ML/AI techniques, e.g. supervised/unsupervised learning, natural language processing and LLMs. Ability to select the best analytics tools and frameworks to address a variety of problems. Strong … software development experience in Python, with understanding of object-oriented and functional programming paradigms. Experience in building and deploying ML pipelines from scratch, and ensuring scalability to production environments, ideally with experience in AWS. Relentless drive and energy required to work in an early stage startup Team player and strong communication skills Beneficial Familiarity with MLOps practices for continuous deployment More ❯

takeovers in a fintech/consumer credit context Demonstrable experience engaging with regulators, card schemes and industry bodies Familiarity with fraud loss forecasting and P&L accountability. Understanding of machine learning/AI-driven fraud models with the ability to assess and deploy them International exposure to fraud/KYC operations Strong external network within the fraud and … practical support. Savings & discounts on everyday shopping. 1:1 personalised well-being consultations. Family Friendly Policies: Enhanced maternity pay. Enhanced paternity pay. Enhanced adoption pay. Enhanced shared parental leave. Learning & Development: Professional Qualifications. Professional Memberships. Learning Suite for e-courses. Internal Training Programmes. FCA & Regulatory training. Hybrid Working. Casual dress code. Workplace socials. To apply for this role More ❯

deployment. Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring More ❯

deployment. Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). A collaborative mindset - you enjoy working closely with Product and Data teams and mentoring More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯

have: Around 7 years' experience as a Software Engineer or Machine Learning Engineer. A strong grounding in Python, with hands-on experience building and shipping AI/ML or LLM-driven products. Experience with cloud ML platforms (AWS SageMaker, Bedrock, Vertex AI, etc.). Familiarity with LangChain or similar orchestration frameworks. A solid understanding of MLOps and how More ❯