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Language Engineer Jobs in Florida (NOW HIRING)

DevOps Engineer

Miami, FL · On-site

$50.25 - $69/hr

... language, preferably Python (Python, Java, Go, etc.) • Proficient in GitOps workflows and CI tools like GitHub Actions • Good experience running DevOps tools in the cloud (AWS preferred, GCP) • ...

Principal Software Engineer

Tampa, FL

$127K - $171K/yr

Proficient in programming language Python(preferred), JavaScript, SQL/NoSQL. * Proven ability to lead and mentor software development teams * Strong problem solving,analytical skills; Ability to ...

Informatica Engineer

Tampa, FL · On-site

$48.50 - $63.75/hr

Working knowledge of Oracle Database and Structured Query Language (SQL) * Experienced in collaborating with multiple cross-functional teams (Developers, Testers, Network Engineers, Linux ...

Principal Software Engineer

Tampa, FL · On-site

$127K - $171K/yr

Proficient in programming language Python(preferred), JavaScript, SQL/NoSQL. * Proven ability to lead and mentor software development teams * Strong problem solving, analytical skills; Ability to ...

• Overall responsibility for the execution of electrical engineering in our projects - securing ... language skills are an advantage. • Advanced experience in intercultural collaboration and ...

Lead Data Engineer

Tampa, FL · On-site

$96K - $127K/yr

Proficiency in SQL and at least one programming language (Python, Java, C#, etc.) * Experience with cloud-based data platforms (AWS, Azure, Google Cloud, etc.) * Strong leadership and communication ...

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Language Engineer information

See Florida salary details

$29.1K

$76K

$102.8K

How much do language engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for language engineer in Florida is $76,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $87,100.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Language Engineer?

Language Engineers typically spend their days developing, testing, and improving language models and algorithms used in applications such as chatbots, voice assistants, and translation tools. They collaborate closely with data scientists, software engineers, and linguists to collect and annotate data, refine language processing workflows, and address real-world linguistic challenges. Regular tasks may include designing rule-based systems, implementing machine learning models, evaluating system performance, and troubleshooting language-specific issues. This role often requires balancing independent work with team collaboration to ensure language technologies meet both technical and user experience goals.

What is a Language Engineer job?

A Language Engineer designs, develops, and optimizes language-related technologies, such as natural language processing (NLP) models, speech recognition systems, and machine translation tools. They work with linguistic data, improve language models, and create rules and algorithms to enhance text and speech processing. This role often involves collaborating with software engineers, data scientists, and linguists to refine language-based AI systems. Language Engineers also help expand language support for AI applications by curating datasets and improving system accuracy.

What are the key skills and qualifications needed to thrive in the Language Engineer position, and why are they important?

To thrive as a Language Engineer, you need a strong background in computational linguistics, natural language processing (NLP), and programming languages such as Python or Java, often supported by a degree in computer science, linguistics, or related fields. Familiarity with NLP libraries (e.g., NLTK, spaCy), machine learning frameworks, and tools for text annotation and data processing is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills in this role. These competencies enable Language Engineers to build robust language models, collaborate across interdisciplinary teams, and address complex language-related challenges in technology products.

What are the most commonly searched types of Language Engineer jobs in Florida? The most popular types of Language Engineer jobs in Florida are:
DevOps Engineer

DevOps Engineer

Millennium

Miami, FL • On-site

$50.25 - $69/hr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Summary:
Millennium is expanding its Core DevOps Team and is seeking an experienced AI DevOps Engineer to enhance the AI-centric developer experience. The role involves delivering key SDLC capabilities, automating product updates, resolving production issues, and implementing AI-focused integrations.
Responsibilities:
• Engage with our developer community with a focus on successful outcomes
• Build secure AI Dev Tools and integrations to improve the developer experience
• Automate and deploy upgrades to our DevOps platform
• Provide Level 3 technical support around our DevOps platform
• Implement best practices around security and observability of our DevOps platform
• Participate in our on-call rotation and blameless postmortem practices for incidents
Qualifications:
Required:
• BSc in Computer Science, Engineering, or relevant field
• Broad experience with AI Coding Tools through all phases of the Software Development Lifecycle
• Solid programming experience in an object oriented language, preferably Python (Python, Java, Go, etc.)
• Proficient in GitOps workflows and CI tools like GitHub Actions
• Good experience running DevOps tools in the cloud (AWS preferred, GCP)
• A mastery of containers and a working knowledge of Kubernetes, including Continuous Deployment patterns
• Solid Infrastructure as Code programming experience (Terraform, CloudFormation, Ansible)
• Good knowledge of test driven development with a focus on software quality
• Experience implementing observability with DataDog and Elastic
Company:
Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $87 billion in assets. Founded in 1989, the company is headquartered in New York, USA, with a team of 5001-10000 employees. The company is currently Late Stage.