Structured Query Language (SQL)

database language, data manipulation, data definition, programming language

SQL

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16325

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14094

SQL - the cockroach of database languages that simply refuses to die, and thank heavens for that. Born in IBM's labs in the 1970s, this venerable query language has survived more "SQL killers" than one can count on both hands, from NoSQL to graph databases to whatever newfangled abstraction Silicon Valley has dreamed up this week.
Despite being older than most developers wielding it, SQL remains the lingua franca of data manipulation, powering everything from legacy systems to modern cloud warehouses like Snowflake and BigQuery. While the cool kids play with their Spark notebooks and MongoDB clusters, SQL quietly gets on with the job of, well, actually querying data. Its declarative nature and standardization (mostly - looking at you, MySQL) make it surprisingly relevant for modern data tasks. Yes, it has its quirks - try explaining window functions to a junior analyst - but SQL's staying power is nothing short of remarkable in an industry obsessed with the next big thing.

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machine learning engineer Machine Learning Engineer Intern (Privacy and Data Protection Office) - 2026 Start (PhD) @ tiktok US \| 2025-12-28 This role is a misstep for anyone seeking to apply in a genuine data engineering context. The position is misaligned with the core responsibilities of a data engineer—focusing on privacy, risk,... read more »	PhD, AI/ML, NLP, Analytics, Computer Science, Python, R, Java, C++, SQL, NumPy, SciPy, Pandas, DataViz, Matplotlib, PyTorch, TensorFlow, Keras, LLM	Machine Learning Engineer Intern (Privacy and Data Protection Office) - 2026 Start (PhD) tiktok (US) INTERNSHIP \| JOB LISTED This role is a misstep for anyone seeking to apply in a genuine data engineering context. The position is misaligned with the core responsibilities of a data engineer—focusing on privacy, risk, and data-driven decision-making—rather than on the technical skills and tools central to data engineering. The job description is riddled with vague language, lacks specificity in technical requirements, and emphasizes internships without clear career path or skill expectations. The mention of privacy and data protection is superficial, lacking the depth and technical rigor that would make this role appealing to a serious data engineering professional. The company’s focus on domain expertise in privacy is not aligned with the technical competencies required for a data engineer, and the compensation is minimal, with no clear indication of value or growth potential. The role is a cynical, overly optimistic pitch for an internship, not a true opportunity for a data engineer to contribute to meaningful data-driven innovation. Generated content Technology used PhD AI/ML NLP Analytics Computer Science Python R Java C++ SQL NumPy SciPy Pandas DataViz Matplotlib PyTorch TensorFlow Keras LLM Listed At 2025-12-28 2025-07-31 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Machine Learning Engineer, Safeguards @ anthropicresearch US \| 2025-12-27 \| USD 315000 - 425000 / year Anthropic seeks a Safeguards ML Engineer to build production-ready detectors for harmful user and partner behavior, slotted into a safety-first AI agenda. The role blends ML engineering with... read more »	AI/ML, API, Python, LLM, SQL, TensorFlow, ETL/ELT, Computer Science	Machine Learning Engineer, Safeguards anthropicresearch (US) FULL TIME \| JOB LISTED Anthropic seeks a Safeguards ML Engineer to build production-ready detectors for harmful user and partner behavior, slotted into a safety-first AI agenda. The role blends ML engineering with policy-aligned oversight, requiring Python, SQL, LLMs, and experience with anomaly detection or behavioral classifiers, plus a knack for explaining complex tech to nontechnical stakeholders. It's a high-stakes, high-pay perch ($315,000—$425,000 USD annually) in a company that touts big-science collaboration and steerable, trustworthy AI. The traps are real: heavy focus on safety slows iteration, visa sponsorship caveats, a hybrid 25% in-office policy, and the cultural pressure to align with societal impact messaging. Technically, expect large-scale ETL, transformer models, and modern ML frameworks, with a premium on governance, documentation, and cross-team signaling to research and policy principals. Generated content Technology used AI/ML API Python LLM SQL TensorFlow ETL/ELT Computer Science Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
machine learning engineer Senior Machine Learning Engineer, Generative AI Innovation Center @ amazon-web-services FR \| 2025-12-26 Senior ML Engineer at AWS GenAI Innovation Center is tasked with developing and deploying advanced generative AI models and pipelines for real customers, collaborating with scientists on terabytes... read more »	GenAI, AWS, Twilio Segment, Cloud Computing, AI/ML, SQL, Python, Git, Management, Computer Science	Senior Machine Learning Engineer, Generative AI Innovation Center amazon-web-services (FR) FULL TIME \| JOB LISTED Senior ML Engineer at AWS GenAI Innovation Center is tasked with developing and deploying advanced generative AI models and pipelines for real customers, collaborating with scientists on terabytes of text and images across cloud and devices. It promises impact at scale, yet remains a software engineering role: design, test, deploy, and continuously optimize reliability, performance, cost, and security. Expect heavy emphasis on end-to-end ML lifecycle—experimentation, metrics, automation, and cross-functional design reviews—with mentoring baked in. The requisites are brutal: 5+ years of software development and architecture leadership, fluency in SQL and Python, hands-on ML/statistical modeling, and AWS cloud experience, all in a startup-like cadence within a large enterprise. It’s prestigious and potentially rewarding, but not a cure for GenAI hype fatigue; governance, cost control, and operational AI risk will be as real as the code you ship. Generated content Technology used GenAI AWS Twilio Segment Cloud Computing AI/ML SQL Python Git Management Computer Science Listed At 2025-12-26 2025-10-01 (original listing) Permalink View original posting
machine learning engineer Machine Learning Engineer 2 @ adobe US \| 2025-12-26 \| USD 102400 - 196300 / year Adobe pitches a machine learning engineer role centered on optimizing Digital Experience customer journeys, with tie-ins to Adobe Research and production AI at scale. The job requires a MS or PhD,... read more »	AI/ML, GenAI, API, Cloud Computing, CI/CD, PhD, Computer Science, Data Science, Analytics, Python, Scala, Java, SQL, TensorFlow, PyTorch	Machine Learning Engineer 2 adobe (US) FULL TIME \| JOB LISTED Adobe pitches a machine learning engineer role centered on optimizing Digital Experience customer journeys, with tie-ins to Adobe Research and production AI at scale. The job requires a MS or PhD, solid statistical and ML chops, and fluency in Python, SQL, and at least one JVM language. Expect work across model design, GenAI and predictive models, API design, UI integration, cloud deployment, CI/CD, and ML‑Ops governance. The promise is collaboration with a lively, diverse team, but the reality is a heavy emphasis on production readiness, metrics, and governance over pure experimentation. Salary sits in a broad U.S. band ($102k–$196k) with location and knowledge driving the variance; the role signals stability and ample resources but risk of bureaucracy and brand-laden priorities. Strong fit for those who want enterprise-scale ML, not a playground. Generated content Technology used AI/ML GenAI API Cloud Computing CI/CD PhD Computer Science Data Science Analytics Python Scala Java SQL TensorFlow PyTorch Listed At 2025-12-26 2025-07-30 (original listing) Permalink View original posting
machine learning engineer Machine Learning Engineer @ adobe US \| 2025-12-26 This role presents a unique opportunity for a machine learning engineer at Adobe, offering the chance to work on cutting-edge projects that transform digital experiences. The position requires... read more »	AI/ML, Computer Science, Data Science, PhD, Analytics, Python, Scala, Java, SQL, TensorFlow, PyTorch	Machine Learning Engineer adobe (US) FULL TIME \| JOB LISTED This role presents a unique opportunity for a machine learning engineer at Adobe, offering the chance to work on cutting-edge projects that transform digital experiences. The position requires expertise in statistical modeling, ML frameworks, and large-scale data pipelines, with a focus on building predictive and generative models. While the responsibilities are clear and the technical demands are substantial, the job description lacks explicit salary details and fails to highlight the company’s commitment to innovation and employee growth. The role stands out for its emphasis on real-world impact and collaboration with research teams, but the lack of concrete salary information and limited mention of specific tools or technologies may limit its appeal to candidates seeking precise compensation and technical depth. Generated content Technology used AI/ML Computer Science Data Science PhD Analytics Python Scala Java SQL TensorFlow PyTorch Listed At 2025-12-26 2025-07-30 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Senior Machine Learning Engineer - Personalization & Recommendation @ adobe US \| 2025-12-26 \| USD 172500 - 306625 / year Adobe seeks a Senior Machine Learning Engineer to develop and deploy predictive and generative models, focusing on autonomous agents and adaptive decision-making. The role's differentiator lies in... read more »	AI/ML, Cloud Computing, Computer Science, Data Science, PhD, Analytics, Python, Scala, Java, SQL, TensorFlow, PyTorch	Senior Machine Learning Engineer - Personalization & Recommendation adobe (US) FULL TIME \| JOB LISTED Adobe seeks a Senior Machine Learning Engineer to develop and deploy predictive and generative models, focusing on autonomous agents and adaptive decision-making. The role's differentiator lies in its integration with Adobe Research and emphasis on scalable ML-Ops practices, but a risk exists in the fast-paced environment potentially leading to burnout. The position involves working across multiple teams with extensive experience requirements, including advanced degrees and 8+ years of AI/ML expertise, within a competitive salary range of $172,500 to $306,625. The role is not intermediary, involves tools like scikit-learn, SparkML, TensorFlow, PyTorch, and programming languages such as Python, Scala, Java, SQL. Generated content Technology used AI/ML Cloud Computing Computer Science Data Science PhD Analytics Python Scala Java SQL TensorFlow PyTorch Listed At 2025-12-26 2025-12-04 (original listing) Similar Jobs Loading... Permalink View original posting
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machine learning engineer Junior Machine Learning Engineer (6 Months Fixed Term Contract) @ rapp GB \| 2025-12-25 This role is a high-impact, fast-paced opportunity for a junior machine learning engineer at a global creative agency. The position requires a strong foundation in statistical modeling,... read more »	Marketing, AI/ML, Data Science, Analytics, Python, SQL, Pandas, Cloud Computing, AWS, GCP, Git	Junior Machine Learning Engineer (6 Months Fixed Term Contract) rapp (GB) FULL TIME \| JOB LISTED This role is a high-impact, fast-paced opportunity for a junior machine learning engineer at a global creative agency. The position requires a strong foundation in statistical modeling, Python/SQL, and business acumen, with a focus on real-world problem-solving and collaboration. The role is not just about data cleaning or dashboards—it involves building predictive models, contributing to marketing and customer insights, and growing under a senior team. The hybrid model offers flexibility, and the contract duration is six months. The role stands out for its practical, project-driven approach and mentorship, but lacks clear salary details and is not an intermediary position. Generated content Technology used Marketing AI/ML Data Science Analytics Python SQL Pandas Cloud Computing AWS GCP Git Listed At 2025-12-25 2025-07-07 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Machine Learning Engineer @ rea-group AU \| 2025-12-24 REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML... read more »	AI/ML, GenAI, LLM, API, Cloud Computing, AWS, GCP, Amazon SageMaker, Docker, IaC, Python, DataViz, Analytics, Data Science, SQL, PyTorch, Keras, RDBMS, MySQL, PostgreSQL, BigQuery, NoSQL, Redis, DynamoDB, ELK, Amazon EC2, S3, Terraform, CloudFormation	Machine Learning Engineer rea-group (AU) FULL TIME \| JOB LISTED REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML production: Python and SQL at the core, PyTorch, Keras, Transformers and HF models for generative and vision tasks, plus XGBoost/LightGBM for scalable tabular work. You'll deploy real-time and batch pipelines across AWS or Google Cloud with Docker and IaC (Terraform or CloudFormation), and you'll touch SageMaker and Vertex AI. Data-wise, expect roles in recommender systems, property valuations, and user behavior analytics, with relational and NoSQL stores like PostgreSQL, BigQuery, Redis, DynamoDB, and ElasticSearch/Solr. The role advertises collaboration, but the breadth is daunting: multi-cloud, multi-modal, production-grade AI, plus internal-facing and external-facing AI evangelism. Salary is not disclosed, which is telling. It's a solid market outlier for ambitious ML engineers, though the hype-to-deliver ratio bears watching. Generated content Technology used AI/ML GenAI LLM API Cloud Computing AWS GCP Amazon SageMaker Docker IaC Python DataViz Analytics Data Science SQL PyTorch Keras RDBMS MySQL PostgreSQL BigQuery NoSQL Redis DynamoDB ELK Amazon EC2 S3 Terraform CloudFormation Listed At 2025-12-24 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Machine Learning Engineer @ lsports-data-ltd- IL \| 2025-12-23 LSports seeks a Machine Learning Engineer with over five years' experience to design and operationalize advanced ML algorithms, collaborating across teams to solve complex problems. The role's... read more »	AI/ML, Data Science, Python, PyTorch, LLM, SQL, NoSQL, Databricks, GenAI, RAG	Machine Learning Engineer lsports-data-ltd- (IL) FULL TIME \| JOB LISTED LSports seeks a Machine Learning Engineer with over five years' experience to design and operationalize advanced ML algorithms, collaborating across teams to solve complex problems. The role's differentiator appears to be focus on sports modeling and risk products, but the risk lies in the rapid evolution of AI, which may render current models obsolete quickly. Generated content Technology used AI/ML Data Science Python PyTorch LLM SQL NoSQL Databricks GenAI RAG Listed At 2025-12-23 2025-12-07 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Senior Machine Learning Engineer (Risk) @ earnin US \| 2025-12-22 \| USD 232200 - 283800 / year EarnIn’s ML-heavy risk role sits at the intersection of fintech scale and governance, offering a strong salary, equity, and a tangible mission to curb fraud and credit risk. The job demands 4+... read more »	AI/ML, LLM, Computer Science, Management, Python, SQL, TensorFlow, PyTorch, Cloud Computing, AWS, Amazon SageMaker, Databricks, GCP	Senior Machine Learning Engineer (Risk) earnin (US) FULL TIME \| JOB LISTED EarnIn’s ML-heavy risk role sits at the intersection of fintech scale and governance, offering a strong salary, equity, and a tangible mission to curb fraud and credit risk. The job demands 4+ years of ML with solid software chops, deep learning, and hands-on work with TensorFlow or PyTorch across AWS SageMaker, Databricks, and GCP Vertex AI. You’ll design, deploy, and A/B test risk models, monitor drift, and justify decisions to non-technical stakeholders, which means robust observability and good communication are as valuable as code. The hybrid, Mountain View setup tightens the talent pool but aligns with the company’s high-profile funding and growth. The upside is meaningful impact and a modern ML stack; the risk is governance, model risk, and the real-world friction of fintech compliance. Generated content Technology used AI/ML LLM Computer Science Management Python SQL TensorFlow PyTorch Cloud Computing AWS Amazon SageMaker Databricks GCP Listed At 2025-12-22 2025-09-04 (original listing) Permalink View original posting

machine learning engineer Machine Learning Engineer Intern (Privacy and Data Protection Office) - 2026 Start (PhD) @ tiktok US \| 2025-12-28 This role is a misstep for anyone seeking to apply in a genuine data engineering context. The position is misaligned with the core responsibilities of a data engineer—focusing on privacy, risk,... read more »	PhD, AI/ML, NLP, Analytics, Computer Science, Python, R, Java, C++, SQL, NumPy, SciPy, Pandas, DataViz, Matplotlib, PyTorch, TensorFlow, Keras, LLM	Machine Learning Engineer Intern (Privacy and Data Protection Office) - 2026 Start (PhD) tiktok (US) INTERNSHIP \| JOB LISTED This role is a misstep for anyone seeking to apply in a genuine data engineering context. The position is misaligned with the core responsibilities of a data engineer—focusing on privacy, risk, and data-driven decision-making—rather than on the technical skills and tools central to data engineering. The job description is riddled with vague language, lacks specificity in technical requirements, and emphasizes internships without clear career path or skill expectations. The mention of privacy and data protection is superficial, lacking the depth and technical rigor that would make this role appealing to a serious data engineering professional. The company’s focus on domain expertise in privacy is not aligned with the technical competencies required for a data engineer, and the compensation is minimal, with no clear indication of value or growth potential. The role is a cynical, overly optimistic pitch for an internship, not a true opportunity for a data engineer to contribute to meaningful data-driven innovation. Generated content Technology used PhD AI/ML NLP Analytics Computer Science Python R Java C++ SQL NumPy SciPy Pandas DataViz Matplotlib PyTorch TensorFlow Keras LLM Listed At 2025-12-28 2025-07-31 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Machine Learning Engineer, Safeguards @ anthropicresearch US \| 2025-12-27 \| USD 315000 - 425000 / year Anthropic seeks a Safeguards ML Engineer to build production-ready detectors for harmful user and partner behavior, slotted into a safety-first AI agenda. The role blends ML engineering with... read more »	AI/ML, API, Python, LLM, SQL, TensorFlow, ETL/ELT, Computer Science	Machine Learning Engineer, Safeguards anthropicresearch (US) FULL TIME \| JOB LISTED Anthropic seeks a Safeguards ML Engineer to build production-ready detectors for harmful user and partner behavior, slotted into a safety-first AI agenda. The role blends ML engineering with policy-aligned oversight, requiring Python, SQL, LLMs, and experience with anomaly detection or behavioral classifiers, plus a knack for explaining complex tech to nontechnical stakeholders. It's a high-stakes, high-pay perch ($315,000—$425,000 USD annually) in a company that touts big-science collaboration and steerable, trustworthy AI. The traps are real: heavy focus on safety slows iteration, visa sponsorship caveats, a hybrid 25% in-office policy, and the cultural pressure to align with societal impact messaging. Technically, expect large-scale ETL, transformer models, and modern ML frameworks, with a premium on governance, documentation, and cross-team signaling to research and policy principals. Generated content Technology used AI/ML API Python LLM SQL TensorFlow ETL/ELT Computer Science Listed At 2025-12-27 2025-11-13 (original listing) Similar Jobs Loading... Permalink View original posting
promoted BigQuery Cost Optimization Guide by Masthead Data The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...	Learn More
machine learning engineer Senior Machine Learning Engineer, Generative AI Innovation Center @ amazon-web-services FR \| 2025-12-26 Senior ML Engineer at AWS GenAI Innovation Center is tasked with developing and deploying advanced generative AI models and pipelines for real customers, collaborating with scientists on terabytes... read more »	GenAI, AWS, Twilio Segment, Cloud Computing, AI/ML, SQL, Python, Git, Management, Computer Science	Senior Machine Learning Engineer, Generative AI Innovation Center amazon-web-services (FR) FULL TIME \| JOB LISTED Senior ML Engineer at AWS GenAI Innovation Center is tasked with developing and deploying advanced generative AI models and pipelines for real customers, collaborating with scientists on terabytes of text and images across cloud and devices. It promises impact at scale, yet remains a software engineering role: design, test, deploy, and continuously optimize reliability, performance, cost, and security. Expect heavy emphasis on end-to-end ML lifecycle—experimentation, metrics, automation, and cross-functional design reviews—with mentoring baked in. The requisites are brutal: 5+ years of software development and architecture leadership, fluency in SQL and Python, hands-on ML/statistical modeling, and AWS cloud experience, all in a startup-like cadence within a large enterprise. It’s prestigious and potentially rewarding, but not a cure for GenAI hype fatigue; governance, cost control, and operational AI risk will be as real as the code you ship. Generated content Technology used GenAI AWS Twilio Segment Cloud Computing AI/ML SQL Python Git Management Computer Science Listed At 2025-12-26 2025-10-01 (original listing) Permalink View original posting
machine learning engineer Machine Learning Engineer 2 @ adobe US \| 2025-12-26 \| USD 102400 - 196300 / year Adobe pitches a machine learning engineer role centered on optimizing Digital Experience customer journeys, with tie-ins to Adobe Research and production AI at scale. The job requires a MS or PhD,... read more »	AI/ML, GenAI, API, Cloud Computing, CI/CD, PhD, Computer Science, Data Science, Analytics, Python, Scala, Java, SQL, TensorFlow, PyTorch	Machine Learning Engineer 2 adobe (US) FULL TIME \| JOB LISTED Adobe pitches a machine learning engineer role centered on optimizing Digital Experience customer journeys, with tie-ins to Adobe Research and production AI at scale. The job requires a MS or PhD, solid statistical and ML chops, and fluency in Python, SQL, and at least one JVM language. Expect work across model design, GenAI and predictive models, API design, UI integration, cloud deployment, CI/CD, and ML‑Ops governance. The promise is collaboration with a lively, diverse team, but the reality is a heavy emphasis on production readiness, metrics, and governance over pure experimentation. Salary sits in a broad U.S. band ($102k–$196k) with location and knowledge driving the variance; the role signals stability and ample resources but risk of bureaucracy and brand-laden priorities. Strong fit for those who want enterprise-scale ML, not a playground. Generated content Technology used AI/ML GenAI API Cloud Computing CI/CD PhD Computer Science Data Science Analytics Python Scala Java SQL TensorFlow PyTorch Listed At 2025-12-26 2025-07-30 (original listing) Permalink View original posting
machine learning engineer Machine Learning Engineer @ adobe US \| 2025-12-26 This role presents a unique opportunity for a machine learning engineer at Adobe, offering the chance to work on cutting-edge projects that transform digital experiences. The position requires... read more »	AI/ML, Computer Science, Data Science, PhD, Analytics, Python, Scala, Java, SQL, TensorFlow, PyTorch	Machine Learning Engineer adobe (US) FULL TIME \| JOB LISTED This role presents a unique opportunity for a machine learning engineer at Adobe, offering the chance to work on cutting-edge projects that transform digital experiences. The position requires expertise in statistical modeling, ML frameworks, and large-scale data pipelines, with a focus on building predictive and generative models. While the responsibilities are clear and the technical demands are substantial, the job description lacks explicit salary details and fails to highlight the company’s commitment to innovation and employee growth. The role stands out for its emphasis on real-world impact and collaboration with research teams, but the lack of concrete salary information and limited mention of specific tools or technologies may limit its appeal to candidates seeking precise compensation and technical depth. Generated content Technology used AI/ML Computer Science Data Science PhD Analytics Python Scala Java SQL TensorFlow PyTorch Listed At 2025-12-26 2025-07-30 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Senior Machine Learning Engineer - Personalization & Recommendation @ adobe US \| 2025-12-26 \| USD 172500 - 306625 / year Adobe seeks a Senior Machine Learning Engineer to develop and deploy predictive and generative models, focusing on autonomous agents and adaptive decision-making. The role's differentiator lies in... read more »	AI/ML, Cloud Computing, Computer Science, Data Science, PhD, Analytics, Python, Scala, Java, SQL, TensorFlow, PyTorch	Senior Machine Learning Engineer - Personalization & Recommendation adobe (US) FULL TIME \| JOB LISTED Adobe seeks a Senior Machine Learning Engineer to develop and deploy predictive and generative models, focusing on autonomous agents and adaptive decision-making. The role's differentiator lies in its integration with Adobe Research and emphasis on scalable ML-Ops practices, but a risk exists in the fast-paced environment potentially leading to burnout. The position involves working across multiple teams with extensive experience requirements, including advanced degrees and 8+ years of AI/ML expertise, within a competitive salary range of $172,500 to $306,625. The role is not intermediary, involves tools like scikit-learn, SparkML, TensorFlow, PyTorch, and programming languages such as Python, Scala, Java, SQL. Generated content Technology used AI/ML Cloud Computing Computer Science Data Science PhD Analytics Python Scala Java SQL TensorFlow PyTorch Listed At 2025-12-26 2025-12-04 (original listing) Similar Jobs Loading... Permalink View original posting
promoted O'Reilly Power BI Learning Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.	Get Started
machine learning engineer Junior Machine Learning Engineer (6 Months Fixed Term Contract) @ rapp GB \| 2025-12-25 This role is a high-impact, fast-paced opportunity for a junior machine learning engineer at a global creative agency. The position requires a strong foundation in statistical modeling,... read more »	Marketing, AI/ML, Data Science, Analytics, Python, SQL, Pandas, Cloud Computing, AWS, GCP, Git	Junior Machine Learning Engineer (6 Months Fixed Term Contract) rapp (GB) FULL TIME \| JOB LISTED This role is a high-impact, fast-paced opportunity for a junior machine learning engineer at a global creative agency. The position requires a strong foundation in statistical modeling, Python/SQL, and business acumen, with a focus on real-world problem-solving and collaboration. The role is not just about data cleaning or dashboards—it involves building predictive models, contributing to marketing and customer insights, and growing under a senior team. The hybrid model offers flexibility, and the contract duration is six months. The role stands out for its practical, project-driven approach and mentorship, but lacks clear salary details and is not an intermediary position. Generated content Technology used Marketing AI/ML Data Science Analytics Python SQL Pandas Cloud Computing AWS GCP Git Listed At 2025-12-25 2025-07-07 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Machine Learning Engineer @ rea-group AU \| 2025-12-24 REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML... read more »	AI/ML, GenAI, LLM, API, Cloud Computing, AWS, GCP, Amazon SageMaker, Docker, IaC, Python, DataViz, Analytics, Data Science, SQL, PyTorch, Keras, RDBMS, MySQL, PostgreSQL, BigQuery, NoSQL, Redis, DynamoDB, ELK, Amazon EC2, S3, Terraform, CloudFormation	Machine Learning Engineer rea-group (AU) FULL TIME \| JOB LISTED REA Group promises a hands-on ML engineering role within a top-tier property brand, building scalable multi-modal AI across web and app platforms. The tech stack reads like a tour of modern ML production: Python and SQL at the core, PyTorch, Keras, Transformers and HF models for generative and vision tasks, plus XGBoost/LightGBM for scalable tabular work. You'll deploy real-time and batch pipelines across AWS or Google Cloud with Docker and IaC (Terraform or CloudFormation), and you'll touch SageMaker and Vertex AI. Data-wise, expect roles in recommender systems, property valuations, and user behavior analytics, with relational and NoSQL stores like PostgreSQL, BigQuery, Redis, DynamoDB, and ElasticSearch/Solr. The role advertises collaboration, but the breadth is daunting: multi-cloud, multi-modal, production-grade AI, plus internal-facing and external-facing AI evangelism. Salary is not disclosed, which is telling. It's a solid market outlier for ambitious ML engineers, though the hype-to-deliver ratio bears watching. Generated content Technology used AI/ML GenAI LLM API Cloud Computing AWS GCP Amazon SageMaker Docker IaC Python DataViz Analytics Data Science SQL PyTorch Keras RDBMS MySQL PostgreSQL BigQuery NoSQL Redis DynamoDB ELK Amazon EC2 S3 Terraform CloudFormation Listed At 2025-12-24 2025-11-11 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Machine Learning Engineer @ lsports-data-ltd- IL \| 2025-12-23 LSports seeks a Machine Learning Engineer with over five years' experience to design and operationalize advanced ML algorithms, collaborating across teams to solve complex problems. The role's... read more »	AI/ML, Data Science, Python, PyTorch, LLM, SQL, NoSQL, Databricks, GenAI, RAG	Machine Learning Engineer lsports-data-ltd- (IL) FULL TIME \| JOB LISTED LSports seeks a Machine Learning Engineer with over five years' experience to design and operationalize advanced ML algorithms, collaborating across teams to solve complex problems. The role's differentiator appears to be focus on sports modeling and risk products, but the risk lies in the rapid evolution of AI, which may render current models obsolete quickly. Generated content Technology used AI/ML Data Science Python PyTorch LLM SQL NoSQL Databricks GenAI RAG Listed At 2025-12-23 2025-12-07 (original listing) Similar Jobs Loading... Permalink View original posting
machine learning engineer Senior Machine Learning Engineer (Risk) @ earnin US \| 2025-12-22 \| USD 232200 - 283800 / year EarnIn’s ML-heavy risk role sits at the intersection of fintech scale and governance, offering a strong salary, equity, and a tangible mission to curb fraud and credit risk. The job demands 4+... read more »	AI/ML, LLM, Computer Science, Management, Python, SQL, TensorFlow, PyTorch, Cloud Computing, AWS, Amazon SageMaker, Databricks, GCP	Senior Machine Learning Engineer (Risk) earnin (US) FULL TIME \| JOB LISTED EarnIn’s ML-heavy risk role sits at the intersection of fintech scale and governance, offering a strong salary, equity, and a tangible mission to curb fraud and credit risk. The job demands 4+ years of ML with solid software chops, deep learning, and hands-on work with TensorFlow or PyTorch across AWS SageMaker, Databricks, and GCP Vertex AI. You’ll design, deploy, and A/B test risk models, monitor drift, and justify decisions to non-technical stakeholders, which means robust observability and good communication are as valuable as code. The hybrid, Mountain View setup tightens the talent pool but aligns with the company’s high-profile funding and growth. The upside is meaningful impact and a modern ML stack; the risk is governance, model risk, and the real-world friction of fintech compliance. Generated content Technology used AI/ML LLM Computer Science Management Python SQL TensorFlow PyTorch Cloud Computing AWS Amazon SageMaker Databricks GCP Listed At 2025-12-22 2025-09-04 (original listing) Permalink View original posting

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