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Julia Jobs in Virginia (NOW HIRING)

SS Career page

AI/ML Solution Engineer

Richmond, VA · On-site

Understanding of C++, R, Julia, Scala a plus. * Proven experience building and deploying LLM applications, developing agentic workflows, and applying advanced prompting and fine-tuning strategies.

Host Healthcare

RN - NICU

Charlottesville, VA · On-site

$1.0K/wk

Use Ryan from Host to find your dream contract!!" Julia - Registered Nurse Has traveled with Host 3 times "After many other companies, I finally found Host and couldn`t be happier. My recruiter ...

Host Healthcare

RN - PICU

Richmond, VA · On-site

$890/wk

Use Ryan from Host to find your dream contract!!" Julia - Registered Nurse Has traveled with Host 3 times "After many other companies, I finally found Host and couldn`t be happier. My recruiter ...

Host Healthcare

RN - Operating Room

Reston, VA · On-site

$1.4K/wk

Use Ryan from Host to find your dream contract!!" Julia - Registered Nurse Has traveled with Host 3 times "After many other companies, I finally found Host and couldn`t be happier. My recruiter ...

Host Healthcare

RN - PCU

Fredericksburg, VA · On-site

$890/wk

Use Ryan from Host to find your dream contract!!" Julia - Registered Nurse Has traveled with Host 3 times "After many other companies, I finally found Host and couldn`t be happier. My recruiter ...

Host Healthcare

RN - Operating Room

Winchester, VA · On-site

$890/wk

Use Ryan from Host to find your dream contract!!" Julia - Registered Nurse Has traveled with Host 3 times "After many other companies, I finally found Host and couldn`t be happier. My recruiter ...

Host Healthcare

RN - PCU

Richmond, VA · On-site

$890/wk

Use Ryan from Host to find your dream contract!!" Julia - Registered Nurse Has traveled with Host 3 times "After many other companies, I finally found Host and couldn`t be happier. My recruiter ...

Host Healthcare

RN - Emergency Room

Wytheville, VA · On-site

$890/wk

Use Ryan from Host to find your dream contract!!" Julia - Registered Nurse Has traveled with Host 3 times "After many other companies, I finally found Host and couldn`t be happier. My recruiter ...

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Showing results 21-40

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Julia information

What is a Julia developer?

Julia developers are software professionals who specialize in using the Julia programming language to build applications, perform data analysis, and solve complex computational problems. Julia is known for its high performance in numerical and scientific computing, making it popular in fields like data science, machine learning, and scientific research. Julia developers often work on projects that require efficient data processing, simulations, or mathematical modeling, and they typically have strong backgrounds in programming, mathematics, or engineering.

What are some common challenges faced when working as a Julia developer in a collaborative data science team?

As a Julia developer in a data science team, one common challenge is ensuring compatibility and smooth integration with existing tools and workflows, which are often based in Python or R. You may also encounter situations where library support in Julia is less mature, requiring creative problem-solving or contributing to open-source packages. Effective communication with teammates who may be less familiar with Julia is important for knowledge sharing and successful project delivery. Regular collaboration and documenting your work can help bridge these gaps and foster a productive team environment.

What are the key skills and qualifications needed to thrive as a Julia developer, and why are they important?

To thrive as a Julia Developer, you need strong programming skills in Julia as well as a background in mathematics, data science, or engineering, often supported by a relevant degree. Familiarity with Julia's package ecosystem, version control systems like Git, and experience with data analysis or scientific computing libraries are typical requirements. Problem-solving ability, attention to detail, and effective communication are essential soft skills that help developers collaborate and innovate. These competencies are crucial for building high-performance applications, ensuring code quality, and contributing to cross-disciplinary team success.

What is the difference between Julia vs Python?

AspectJuliaPython
Required CredentialsBachelor's in Computer Science or related; some roles may prefer a master'sBachelor's in Computer Science or related; widely accepted certifications
Work EnvironmentResearch labs, data science, high-performance computingWeb development, data analysis, automation, general programming
Industry UsageScientific computing, numerical analysis, academiaSoftware development, data science, AI, web apps
Search & Comparison IntentJulia vs Python for data science or scientific computingPython vs Julia for programming or data analysis

Julia and Python are both popular programming languages used in data science and scientific computing. Julia is known for high-performance numerical analysis and is favored in research environments, while Python offers a broader range of applications, extensive libraries, and a larger community. The choice depends on specific project needs, performance requirements, and industry focus.

What are popular job titles related to Julia jobs in Virginia?

For Julia jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Julia jobs in Virginia look for?

The top searched job categories for Julia jobs in Virginia are:

Julia jobs near you
Infographic showing various Julia job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

AI/ML Solution Engineer

SS Career page

Richmond, VA • On-site

Full-time

Re-posted 29 days ago

Job description

Description:

As an AI/ML Engineer, you will play a key role in designing, building, and deploying AI-powered and machine learning solutions that help our clients solve complex problems and unlock new opportunities. You’ll collaborate with consultants, data engineers, and client stakeholders to bring advanced AI and ML capabilities into real-world applications — from prototypes and proof-of-concepts to enterprise-scale systems. Beyond technical execution, this role is about enabling client success, simplifying complexity, and helping teams work smarter with AI. Here's what you'll do:


Prioritize Client Success

  • Collaborate with clients to understand business needs and translate them into AI/ML-driven solutions.
  • Build, fine-tune, and integrate AI/ML models (LLMs, NLP, computer vision, deep learning, traditional ML).
  • Deliver applications that are reliable, intuitive, and built for long-term value.

Get Comfortable Being Uncomfortable

  • Navigate emerging and rapidly changing AI/ML technologies and tools.
  • Adapt quickly, lead through change, and make confident decisions with limited information.
  • Push boundaries by recommending modern approaches and innovations in AI/ML.

Peel Back the Onion

  • Ask the right questions to uncover root causes and deliver solutions that solve the real problem.
  • Dig into data pipelines, model architectures, optimization techniques, and workflows that drive better outcomes.
  • Explore new capabilities in deep learning frameworks, MLOps practices, and cloud platforms.

Build to Last

  • Architect scalable, maintainable AI/ML solutions that go beyond one-off experiments.
  • Uphold security, data governance, and best practices in every deployment.
  • Monitor model performance, retrain when necessary, and implement CI/CD pipelines for continuous improvement.
  • Coach and guide other team members to elevate technical delivery and AI/ML literacy.

Embrace Being Small & Mighty

  • Be scrappy, stay hungry. Move fast, experiment, and adapt.
  • Roll up your sleeves and get your hands dirty with coding, data processing, deployment, and optimization.
  • Push through challenges with grit and a growth mindset.

Help Others Be Great

  • Work collaboratively across teams, combining diverse skills and perspectives to drive better outcomes.
  • Translate technical AI/ML concepts into clear insights for non-technical stakeholders.
  • Communicate complex data, models, and outcomes in a way that’s clear and actionable.
Requirements:
  • Proficiency in Python (required); Java, JavaScript, SQL/NoSQL, and data processing tools (NumPy, Pandas, PySpark). Understanding of C++, R, Julia, Scala a plus.
  • Proven experience building and deploying LLM applications, developing agentic workflows, and applying advanced prompting and fine-tuning strategies.
  • Knowledge of ETL/ELT pipelines, familiarity with big data frameworks, data pipeline tools, SQL/NoSQL
  • Hands-on experience with model development, training, deployment, and maintenance. Experinece with Scikit-learn, TensorFlow, PyTorch, XGBoost, Hugging Face, and modern architectures (CNNs, RNNs, Transformers).
  • Experience with CI/CD pipelines, experiment tracking, model monitoring, versioning, and building scalable ETL/data pipelines.
  • Experience with AWS, Azure, GCP cloud infrastructures. Containerization and Automation (Docker, Kubernetes, Jenkins, GitHub Actions).
  • Solid foundations in linear algebra, calculus, probability/statistics; familiarity with responsible AI practices, ethics, bias, and governance a plus.
  • Excellent communication skills to engage both technical and non-technical stakeholders, with a collaborative, problem-solving mindset.