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Machine Learning Engineer Jobs in Goochland, VA (8)

Machine Learning Engineer

Capital One
Goochland, VA
New
Part-Time
Icon: salary
$138.5k - $158.1k / year

Software Engineer, Full Stack

Capital One
Goochland, VA
New
Part-Time
Icon: salary
$138.5k - $158.1k / year

Medical Technologist

Chippenham Hospital
Tuckahoe, VA
Part-Time
Vision Insurance

Medical Technologist

Henrico Doctors' Hospital Forest
Tuckahoe, VA
New
Part-Time
$10k sign-on bonus
Vision Insurance
Icon: salary
$10 / hour

Technical Consultant ll - Property

Liberty Mutual Insurance
University Of Richmond, VA
New
Diversity Leader
Icon: salary
$91.8k - $159.3k / year

System & Development Analyst 2/System & Development Analyst 3/Sr System & Development Analyst

BHE GT&S
Glen Allen, VA
New
Icon: salary
$78 / hour
‌

Machine Learning Engineer

Lumino Ai
🌎 Remote
Remote
Dental Insurance
Vision Insurance
‌

Remote Machine Learning Engineer

NTT DATA Group
🌎 Remote
New
Remote
Hourly
401(k)
Dental Insurance
Vision Insurance
Icon: salary
$100 - $115 / hour
‌

Machine Learning Engineer

Jobot
🌎 Remote
New
Remote
401(k)
PTO
Dental Insurance
Vision Insurance
Flexible Schedule
Icon: salary
$110k - $150k / year
‌

Hydrogeologist III

AECOM
Glen Allen, VA
Hybrid
Dental Insurance
Vision Insurance
Icon: salary
$65k - $80k / year
‌

SUE Field Supervisor

AECOM
Glen Allen, VA
Hybrid
Dental Insurance
Vision Insurance
Icon: salary
$85k - $105k / year
‌

Machine Learning Engineer

Capital One
Goochland, VA
New
Part-Time
Icon: salary
$138.5k - $158.1k / year

Job Description

Working as a Machine Learning Engineer in Goochland, VA

There are 8 Machine Learning Engineer opportunities available in Goochland, VA all with unique requirements.

Machine Learning Engineers use automation and algorithms to optimize operations, maximize the efficiency of business processes. Responsibilities include designing, developing, and implementing systems using machine learning models such as neural networks, Bayesian networks, decision trees, support vector machines, and Hidden Markov Models. They use their programming skills to introduce logic into decision-making processes. These systems are used to improve manufacturing output; product development processes; logistical processes; communications; fraud detection; loan underwriting; credit risk prediction; medical diagnosis and treatment selection; security screening of subjects such as prisoners or immigrants seeking access to sensitive areas such as airports or courtrooms.

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