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Machine Learning Engineer Job Market Trends
Avg Jobs Analyzed (2025)
43,047
Salary Range
$24,000 - $385,000
Rising Skill
Machine Learning
Top Hiring Major
Computer Science
Top Hard Skills
Machine Learning
76%
Python
73%
Computer Science
53%
Pytorch
49%
AI
48%
Tensorflow
43%
AWS
35%
Algorithms
35%
Deep Learning
27%
Data Science
26%
Top Soft Skills
communication
17%
collaboration
14%
innovative
13%
collaborative
10%
problem-solving skills
10%
problem-solving
8%
passionate
7%
collaborating
6%
communication skills
5%
collaboration skills
5%
Hard Skill Trends for Machine Learning Engineer
Compare 2024 and 2025 hard skill rankings for Machine Learning Engineer based on job description demand.
| Machine Learning | #1 | #1 | No Change |
| Python | #2 | #2 | No Change |
| Computer Science | #3 | #3 | No Change |
| Pytorch | #4 | #4 | No Change |
| AI | #6 | #5 | 1 spot |
| Tensorflow | #5 | #6 | 1 spot |
| AWS | #8 | #7 | 1 spot |
| Algorithms | #7 | #8 | 1 spot |
| Deep Learning | #10 | #9 | 1 spot |
| Data Science | #9 | #10 | 1 spot |
| Azure | #11 | #11 | No Change |
| NLP | #18 | #12 | 6 spots |
| SQL | #14 | #13 | 1 spot |
| Llms | #26 | #14 | 12 spots |
| Docker | #20 | #15 | 5 spots |
| Statistics | #16 | #16 | No Change |
| Spark | #13 | #17 | 4 spots |
| Mlops | #25 | #18 | 7 spots |
| GCP | #24 | #19 | 5 spots |
| Kubernetes | #19 | #20 | 1 spot |
| Java | #12 | #21 | 9 spots |
| C | #15 | #22 | 7 spots |
| CI | #28 | #23 | 5 spots |
| Mathematics | #17 | #24 | 7 spots |
| Ci/Cd | #29 | #25 | 4 spots |
| Software Development | #21 | #26 | 5 spots |
| C++ | #23 | #27 | 4 spots |
| Natural Language | #22 | #28 | 6 spots |
| Computer Vision | #30 | #29 | 1 spot |
| Pandas | #37 | #30 | 7 spots |
| Data Engineering | #31 | #31 | No Change |
| Agile | #27 | #32 | 5 spots |
| Version Control | #35 | #33 | 2 spots |
| Ml Solutions | #50 | #34 | 16 spots |
| Containerization | #44 | #35 | 9 spots |
| Git | #39 | #36 | 3 spots |
| APIs | #49 | #37 | 12 spots |
| Data Structure | #33 | #38 | 5 spots |
| Reinforcement Learning | #47 | #39 | 8 spots |
| Numpy | #43 | #40 | 3 spots |
| Strong Communication | #36 | #41 | 5 spots |
| Data Analyst | #41 | #42 | 1 spot |
| Scala | #32 | #43 | 11 spots |
| Airflow | #48 | #44 | 4 spots |
| Databricks | #46 | #45 | 1 spot |
| Keras | #34 | #46 | 12 spots |
| Devops | #58 | #47 | 11 spots |
| GPU | #63 | #48 | 15 spots |
| R | #40 | #49 | 9 spots |
| Backend | #66 | #50 | 16 spots |
| Langchain | #78 | #51 | 27 spots |
| Kubeflow | #68 | #52 | 16 spots |
| Hadoop | #38 | #53 | 15 spots |
| Data Preprocessing | #53 | #54 | 1 spot |
| Terraform | #65 | #55 | 10 spots |
| Kafka | #51 | #56 | 5 spots |
| ETL | #60 | #57 | 3 spots |
| Database | #45 | #58 | 13 spots |
| Snowflake | #52 | #59 | 7 spots |
| Clustering | #76 | #60 | 16 spots |
| Cloud Computing | #57 | #61 | 4 spots |
| Open Source | #42 | #62 | 20 spots |
| S3 | #59 | #63 | 4 spots |
| Google Cloud | #64 | #64 | No Change |
| CUDA | #74 | #65 | 9 spots |
| Deploying Ml Models | #113 | #66 | 47 spots |
| Linux | #62 | #67 | 5 spots |
| Continuous Integration | #56 | #68 | 12 spots |
| Go | #119 | #69 | 50 spots |
| Ml Applications | #61 | #70 | 9 spots |
| Nosql | #84 | #71 | 13 spots |
| Google Cloud Platform | #55 | #72 | 17 spots |
| Microservices | #70 | #73 | 3 spots |
| Design Patterns | #87 | #74 | 13 spots |
| Flask | #101 | #75 | 26 spots |
| Lambda | #83 | #76 | 7 spots |
| Deploying Ml | #77 | #77 | No Change |
| Pyspark | #71 | #78 | 7 spots |
| Information Technology | #75 | #79 | 4 spots |
| Cloud Services | #54 | #80 | 26 spots |
| C/C++ | #72 | #81 | 9 spots |
| Predictive Modeling | #159 | #82 | 77 spots |
| Vertex | #90 | #83 | 7 spots |
| Data Ingestion | #125 | #84 | 41 spots |
| Cloud Infrastructure | #97 | #85 | 12 spots |
| Fastapi | #155 | #86 | 69 spots |
| PostgreSQL | #96 | #87 | 9 spots |
| Golang | #127 | #88 | 39 spots |
| Data Collection | #95 | #89 | 6 spots |
| Rust | #177 | #90 | 87 spots |
| Statistical Analysis | #73 | #91 | 18 spots |
| REST | #104 | #92 | 12 spots |
| Jenkins | #79 | #93 | 14 spots |
| Statistical Modeling | #93 | #94 | 1 spot |
| Deployed Models | #121 | #95 | 26 spots |
| Deploy Models | #134 | #96 | 38 spots |
| Data Manipulation | #92 | #97 | 5 spots |
| Ml Platform | #120 | #98 | 22 spots |
| Continuous Deployment | #67 | #99 | 32 spots |
| Anomaly Detection | #139 | #100 | 39 spots |
| Bigquery | #114 | #101 | 13 spots |
| Coding Skills | #100 | #102 | 2 spots |
| Business Objectives | #94 | #103 | 9 spots |
| Hive | #86 | #104 | 18 spots |
| Data Modeling | #69 | #105 | 36 spots |
| Deep Learning Models | #143 | #106 | 37 spots |
| Data Pipeline | #99 | #107 | 8 spots |
| Fullstack | #157 | #108 | 49 spots |
| Javascript | #89 | #109 | 20 spots |
| Object Detection | #85 | #110 | 25 spots |
| End To End | #80 | #111 | 31 spots |
| Github Actions | #160 | #112 | 48 spots |
| React | #124 | #113 | 11 spots |
| ONNX | #137 | #114 | 23 spots |
| Troubleshooting | #98 | #115 | 17 spots |
| Scalable Solutions | #166 | #116 | 50 spots |
| Apache Spark | #132 | #117 | 15 spots |
| Excel | #116 | #118 | 2 spots |
| Diffusion Models | #191 | #119 | 72 spots |
| Image Processing | #140 | #120 | 20 spots |
| Neural Network | #129 | #121 | 8 spots |
| Engineering Principles | #105 | #122 | 17 spots |
| Frontend | #182 | #123 | 59 spots |
| Infrastructure As Code | #115 | #124 | 9 spots |
| Scrum | #91 | #125 | 34 spots |
| Data Preparation | #149 | #126 | 23 spots |
| Data Management | #108 | #127 | 19 spots |
| Ec2 | #117 | #128 | 11 spots |
| Test Automation | #82 | #129 | 47 spots |
| Visualization Tools | #131 | #130 | 1 spot |
| Signal Processing | #135 | #131 | 4 spots |
| Typescript | #186 | #132 | 54 spots |
| EKS | #195 | #133 | 62 spots |
| Data Analytics | #106 | #134 | 28 spots |
| Ml Technologies | #133 | #135 | 2 spots |
| Tableau | #110 | #136 | 26 spots |
| Linear Algebra | #146 | #137 | 9 spots |
| Flink | #130 | #138 | 8 spots |
| Grafana | #204 | #139 | 65 spots |
| Seamless Integration | #123 | #140 | 17 spots |
| Saas | #138 | #141 | 3 spots |
| Engineering Fundamentals | #203 | #142 | 61 spots |
| Predictive Analytics | #142 | #143 | 1 spot |
| C# | #112 | #144 | 32 spots |
| Data Extraction | #192 | #145 | 47 spots |
| Automated Testing | #173 | #146 | 27 spots |
| Prometheus | #206 | #147 | 59 spots |
| Stem Opt | #202 | #148 | 54 spots |
| ECS | #201 | #149 | 52 spots |
| Mongodb | #161 | #150 | 11 spots |
| Opencv | #152 | #151 | 1 spot |
| Amazon Web | #88 | #152 | 64 spots |
| Rapid Iteration | #207 | #153 | 54 spots |
| Deployment Pipelines | #205 | #154 | 51 spots |
| Data Infrastructure | #150 | #155 | 5 spots |
| Elasticsearch | #103 | #156 | 53 spots |
| Bachelors Degree | #165 | #157 | 8 spots |
| PyTorch | #180 | #158 | 22 spots |
| Entity Recognition | #196 | #159 | 37 spots |
| Product Management | #122 | #160 | 38 spots |
| Redis | #172 | #161 | 11 spots |
| Computer Architecture | #174 | #162 | 12 spots |
| Ml Operations | #188 | #163 | 25 spots |
| Redshift | #171 | #164 | 7 spots |
| Api Development | #185 | #165 | 20 spots |
| NLTK | #144 | #166 | 22 spots |
| Container Orchestration | #153 | #167 | 14 spots |
| Pattern Recognition | #102 | #168 | 66 spots |
| Technical Documentation | #141 | #169 | 28 spots |
| Inference Pipelines | #200 | #170 | 30 spots |
| Scipy | #145 | #171 | 26 spots |
| Ml Tools | #156 | #172 | 16 spots |
| Code Review | #187 | #173 | 14 spots |
| Experimental Design | #199 | #174 | 25 spots |
| TensorFlow | #189 | #175 | 14 spots |
| Restful Api | #193 | #176 | 17 spots |
| Dynamodb | #81 | #177 | 96 spots |
| Mysql | #128 | #178 | 50 spots |
| Logistic Regression | #164 | #179 | 15 spots |
| Fintech | #198 | #180 | 18 spots |
| Shell | #183 | #181 | 2 spots |
| Full Stack | #136 | #182 | 46 spots |
| Data Storage | #175 | #183 | 8 spots |
| SCI | #158 | #184 | 26 spots |
| Jira | #148 | #185 | 37 spots |
| Deep Neural | #126 | #186 | 60 spots |
| Unit Testing | #168 | #187 | 19 spots |
| Algorithm Development | #109 | #188 | 79 spots |
| Ruby | #194 | #189 | 5 spots |
| Data Security | #197 | #190 | 7 spots |
| Fraud Detection | #107 | #191 | 84 spots |
| Data Cleaning | #169 | #192 | 23 spots |
| Django | #170 | #193 | 23 spots |
| Time Series Analysis | #179 | #194 | 15 spots |
| Cloudwatch | #163 | #195 | 32 spots |
| Bash | #176 | #196 | 20 spots |
| Oracle | #190 | #197 | 7 spots |
| Data Drift | #181 | #198 | 17 spots |
| Data Integration | #184 | #199 | 15 spots |
| Cassandra | #178 | #200 | 22 spots |
| Llm Models | #167 | #201 | 34 spots |
| Data Lake | #111 | #202 | 91 spots |
| Gitlab | #147 | #203 | 56 spots |
| Datadog | #118 | #204 | 86 spots |
| Sentiment Analysis | #162 | #205 | 43 spots |
| Data Platform | #151 | #206 | 55 spots |
| Kanban | #154 | #207 | 53 spots |
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Soft Skill Trends for Machine Learning Engineer
Compare 2024 and 2025 soft skill rankings for Machine Learning Engineer based on job description demand.
| communication | #1 | #1 | No Change |
| collaboration | #3 | #2 | 1 spot |
| innovative | #2 | #3 | 1 spot |
| collaborative | #5 | #4 | 1 spot |
| problem-solving skills | #4 | #5 | 1 spot |
| problem-solving | #6 | #6 | No Change |
| passionate | #7 | #7 | No Change |
| collaborating | #9 | #8 | 1 spot |
| communication skills | #10 | #9 | 1 spot |
| collaboration skills | #8 | #10 | 2 spots |
| decision-making | #20 | #11 | 9 spots |
| creative | #11 | #12 | 1 spot |
| analytical and problem-solving skills | #12 | #13 | 1 spot |
| continuous learning | #19 | #14 | 5 spots |
| work effectively | #16 | #15 | 1 spot |
| judgment | #18 | #16 | 2 spots |
| ability to work independently | #13 | #17 | 4 spots |
| attention to detail | #14 | #18 | 4 spots |
| written and verbal communication skills | #17 | #19 | 2 spots |
| to write | #15 | #20 | 5 spots |
Job titles you may be interested in
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