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Machine Learning Engineer Associate Jobs in Lakeland, FL

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... machine learning/Big Data • applications using open source tools such as Scala, Java, Python ... Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data • ...

Focused on relationships, you are building meaningful client connections, and learning how to ... Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus ...

... AI Engineer - Experienced Associate, you will leverage advanced analytics and statistical ... machine learning techniques to solve complex business problems - Building data pipelines and ...

We are looking for aMLOps Engineerto join our team and contribute to developing robust data solutionsto support our Machine Learning,Data Science, Data Engineering and Software Engineering. Position ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Data Scientist

Tampa, FL · On-site +1

$110K - $130K/yr

We're now looking for a Data Scientist with strong ML engineering and MLOps experience to help us take our machine learning capabilities to the next level. Role Overview We're seeking a Data ...

Design, develop, and deploy enterprise AI solutions spanning traditional machine learning ... The health of our associates and communities is a top priority for Elevance Health. We require all ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

... machine learning, and engineering practices into mission-critical environments at Combatant ... associate's degree plus 7 years of recent specialized experience, OR, a major certification plus 7 ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices ... Lead and oversee the development of advanced machine learning models, ensuring their seamless ...

... machine learning algorithms and predictive modeling to solve complex business problems - Creating ... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ...

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Machine Learning Engineer Associate information

See Lakeland, FL salary details

$38.7K

$77K

$123.1K

How much do machine learning engineer associate jobs pay per year?

As of Jul 10, 2026, the average yearly pay for machine learning engineer associate in Lakeland, FL is $77,036.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $88,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Machine Learning Engineer Associates when deploying models to production?

Machine Learning Engineer Associates often encounter challenges such as ensuring model scalability, managing data pipeline reliability, and addressing issues with model drift after deployment. Collaborating closely with data engineers and software developers is essential to integrate models seamlessly into existing systems. Additionally, balancing model performance with resource constraints and maintaining clear documentation for reproducibility are important aspects of the role. Gaining familiarity with deployment tools and best practices can help overcome these hurdles.

What are Machine Learning Engineer Associates?

Machine Learning Engineer Associates are entry-level professionals who help design, build, and maintain machine learning models and systems. They typically work under the guidance of senior engineers, assisting in data preprocessing, model training, and testing. Their responsibilities may include implementing algorithms, evaluating model performance, and deploying solutions to production environments. This role requires a strong foundation in programming, statistics, and machine learning principles, often acquired through education or internships.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer Associate, and why are they important?

To thrive as a Machine Learning Engineer Associate, you need a solid understanding of programming (especially Python), mathematics, and foundational machine learning concepts, typically supported by a relevant degree or coursework. Familiarity with tools and frameworks like TensorFlow, PyTorch, scikit-learn, and experience with version control systems such as Git are essential. Strong problem-solving abilities, communication skills, and a collaborative mindset help you work effectively within technical teams. These competencies ensure you can develop, implement, and improve machine learning models that deliver actionable insights and drive business value.
What are the most commonly searched types of Machine Learning Engineer jobs in Lakeland, FL? The most popular types of Machine Learning Engineer jobs in Lakeland, FL are:
What cities near Lakeland, FL are hiring for Machine Learning Engineer Associate jobs? Cities near Lakeland, FL with the most Machine Learning Engineer Associate job openings:

$52.75 - $69.75/hr

Contractor

Posted 24 days ago


Job description

Company Description
Job Description
Position Details:
Job Title: Bigdata Engineer
Location: Tampa, FL
Duration: 12+ Months Contract to hire
Job Responsibilities:
Principal Responsibilities
• Design interfaces to the data warehouses/data storages and machine learning/Big Data
• applications using open source tools such as Scala, Java, Python, Perl and shell scripting.
• Design and create data pipelines to maintain stable dataflow to the machine learning models -
• both in batch mode and near real-time mode.
• Interface with Engineering/Operations/System Admin/Data Scientist teams to ensure data
• pipelines and processes fit within the production framework.
• Ensure that tools and environments adhere to strict security protocols.
• Deploy the machine learning model and serve its outputs as RESTful API calls.
• Understand the business needs in close collaborations with subject matter experts (SMEs)
• and Data Scientists to do efficient feature engineering for machine learning models.
• Maintain the code and libraries in code repository.
• Work with system administration team to proactively resolve issues/install tools and libraries
• on the AWS platform.
• Research and come up with architecture and solutions most appropriate for problems at hand.
• Maintain and improve tools to assist Analytics in ETL, retrospective testing, efficiency,
• repeatability, and R&D.
• Lead by example regarding software best practices, including code style and architecture,
• documentation, source control, and testing.
• Support the Chief Data Scientist/Data Scientists/Big Data Engineers in creating new and novel
• approaches to solve challenging problems using Machine Learning, Big Data and Cloud
• technologies.
• Handle ADHOC requirements to create reports for the end users.
Required Skills
• Strong skills with Apache Spark (Spark SQL) and SCALA with at least 2+ years of experience.
• Understanding of AWS Big Data components and tools.
• Strong Java skills with experience in web services and web development is required.
• Hands on experience with model deployment.
• Hands on experience in application deployment on Docker and/or Kubernetes or other similar technology.
• Linux scripting is a plus.
• Fundamental understanding of AWS cloud components.
• 2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets
• 2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux
• Experience working in a data intensive role including the extraction of data (db/web/api/etc.), transformation and loading (ETL)
• Exposure with structured and/or unstructured data contents
• Experience with data cleansing/preparation on Hadoop/Apache Spark Ecosystem - MapReduce/Hive/HBase/Spark SQL
• Experience with distributed streaming tools like Apache KAFKA.
• Experience with multiple file formats (Parquet, Avro, OCR)
• Knowledge in AGILE development cycle.
• Efficient coding skills to enhance the performance/cost savings of the job running on AWS platform.
• Experience in building stable, scalable, and high-speed live streams of data and serving web platforms
• Enthusiastic self-starter with ability to work in a team environment.
• Graduate (MS) or Undergraduate degree in Computer Science/ Engineering/relevant field
Nice to have:
• Strong Software development experience
• Machine Learning model deployment experience
• Ability to write custom Map/Reduce programs to clean/prepare complex data
• Familiarity with Streaming data processing - Experience with distributed real time computation system like Apache STORM/Apache Spark Streaming.
Qualifications
Additional Information
All your information will be kept confidential according to EEO guidelines.