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Msc Applied Physics Jobs (NOW HIRING)

SLB

Modeling & Simulation Research Scientist

Cambridge, MA · On-site

$105K - $213K/yr

Qualifications Required MSc or PhD in Geosciences, Petroleum Engineering, Applied Physics, or a related discipline. A minimum of 2 years of experience in a research or technical role within the ...

Infotech Sourcing

Systems Engineer V

Redmond, WA · On-site

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical ... on applied research and/or product development involving joint hardware/software design ...

Infotech Sourcing

Systems Engineer V

Redmond, WA · On-site

Qualifications (Must have) BSc/MSc/PhD in Physics, Mathematics, Aerospace Engineering, Optical ... on applied research and/or product development involving joint hardware/software design ...

Bluefors Oy

Cryo Engineer

Manhattan, NY · On-site

$100K - $125K/yr

Master's degree (MSc) or higher in applied or technical physics * Strong technical aptitude and hands-on approach to engineering work * Basic IT skills and proficiency with standard office programs

Bluefors

Cryo Engineer

Brooklyn, AL · On-site

$100K - $125K/yr

Master's degree (MSc) or higher in applied or technical physics * Strong technical aptitude and hands-on approach to engineering work * Basic IT skills and proficiency with standard office programs

New

Australian Competition and Consumer Commission

$191K - $277K/yr

BSc, MSc or Ph.D. in Electrical Engineering, Applied Mathematics, Physics, or a related quantitative field, paired with 10+ years of relevant industry experience in advanced DSP design. Advanced ...

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Msc Applied Physics information

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$39K

$46.9K

$52.5K

How much do msc applied physics jobs pay per year?

As of Sep 14, 2026, the average yearly pay for msc applied physics in the United States is $46,902.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,500.00 and $50,500.00 per year, depending on experience, location, and employer.

What is MSc Applied Physics?

MSc Applied Physics is a postgraduate degree program that focuses on applying the principles and theories of physics to solve real-world problems in technology, engineering, and industry. The curriculum combines advanced physics concepts with practical applications, often involving hands-on laboratory work, research projects, and the use of modern tools and techniques. Graduates are prepared for careers in research and development, engineering, data science, and further academic study, with opportunities in sectors such as electronics, renewable energy, materials science, and healthcare.

What skills and qualifications are needed to thrive as an applied physicist with an MSc in Applied Physics?

To thrive as an Applied Physicist with an MSc in Applied Physics, you need a solid background in advanced physics concepts, mathematical modeling, and experimental techniques, typically obtained through postgraduate education. Familiarity with simulation software (such as MATLAB, COMSOL, or LabVIEW), laboratory instrumentation, and data analysis tools is highly valued. Strong problem-solving skills, critical thinking, and effective teamwork distinguish top performers in this field. These capabilities are crucial for designing experiments, interpreting complex data, and contributing to innovative research or industry solutions.

What types of projects or research can I expect to work on in an MSc Applied Physics role within industry?

In an MSc Applied Physics role within industry, you can expect to work on projects that involve developing and testing new technologies, improving existing products, or solving technical problems using advanced physics principles. Common areas include semiconductor device fabrication, materials science, optics, and instrumentation. Projects often require collaboration with engineers and other scientists, and may involve both hands-on experimental work and computational modeling. This role offers opportunities to contribute to innovation in sectors such as electronics, renewable energy, and healthcare technology.

What is the difference between Msc Applied Physics vs Msc Physics?

AspectMsc Applied PhysicsMsc Physics
CredentialsMaster's degree in Applied PhysicsMaster's degree in Physics
Work EnvironmentResearch labs, industry, technology firmsResearch institutions, academia, laboratories
Industry UsageEngineering, product development, applied researchTheoretical research, academia, fundamental science
Common Search IntentApplied physics careers, industry jobs, practical applicationsTheoretical physics careers, research roles, academic positions

In summary, Msc Applied Physics focuses on practical applications and industry-oriented research, preparing graduates for roles in engineering and technology sectors. Msc Physics emphasizes theoretical understanding and fundamental research, often leading to academic or research scientist positions. Both degrees share foundational coursework but differ in their career focus and work environments.

Is a master's in applied physics worth it?

A master's in applied physics can enhance job prospects in research, engineering, and technology sectors, often leading to higher salaries and specialized roles. It provides advanced skills in problem-solving, data analysis, and technical tools, which are valuable in industries such as aerospace, electronics, and energy. However, the value depends on career goals and industry demand, so assessing specific job markets is recommended.

What is the salary of M.Sc applied physics?

The salary for an M.Sc. in Applied Physics varies depending on the industry, location, and experience, but typically ranges from $50,000 to $80,000 annually in many regions. Entry-level positions may start lower, while experienced professionals or those in specialized roles can earn higher salaries, especially in research, engineering, or technical fields requiring strong analytical skills and knowledge of laboratory tools.

What jobs can I get with an MSc applied physics?

An MSc in applied physics qualifies graduates for roles such as research scientist, data analyst, technical consultant, or engineering specialist. These positions often require strong analytical skills, proficiency with laboratory equipment or simulation tools, and may involve work in industries like aerospace, electronics, energy, or telecommunications.

What kind of job can you get with an MSc applied physics degree?

An MSc in applied physics prepares graduates for roles such as research scientist, data analyst, optical engineer, or technical consultant. These positions often require strong analytical skills, knowledge of laboratory equipment, and proficiency in programming or simulation tools.
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Msc Applied Physics jobs near you
Infographic showing various Msc Applied Physics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 24% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $46,902 per year, or $22.5 per hour.

ML Engineer (Forward Deployed)

Houston, TX • On-site

Applied Computing
See more jobs at Applied Computingexternal

Other

Posted 2 days ago

New

Job description

Applied Computing was founded in 2023 to build Orbital, a physics-informed foundation model for energy operations. We’re live across oil and gas, refineries, and petrochemicals, working towards our mission: sustainable
abundance for a growing planet.

The hydrocarbon industry keeps the world running. But its complexity has left operators tied to legacy systems, making critical decisions on less than 10% of available data. We built Orbital to change that. It’s a foundation model built specifically for energy that lets companies use AI at scale, harnessing all of their operational
data and optimising in real time for any metric. Decisions get faster, operations get safer, and carbon intensity falls.

We’ve raised over $32 million, including one of the largest seed rounds for an
AI company in the UK. We’re just getting started.

As a Forward Deployed ML Engineer, your job is to make Orbital’s AI systems work in customer reality. You will deploy, configure, tune, and operationalise our deep learning models inside live industrial environments; spanning cloud, on-premise, hybrid, and air-gapped infrastructure.
This is nota pure research role.
You are not training experimental models in isolation. You are adapting production AI systems to customer data, configuring agents and RAG pipelines, tuning anomaly detection, and ensuring models deliver value in production workflows.
If Research builds the models, you make them work on-site.

Operating Context

Forward Deployed ML Engineers operate in pods of three alongside:

  • Full Stack Engineers
  • Data Engineers

Each pod delivers 2–3 customer deployments per quarter, owning AI configuration, model tuning, agent orchestration, and inference reliability in production.

Qualifications
  • MSc in Computer Science, Machine Learning, Data Science, or related field, or equivalent practical experience.
  • Strong proficiency in Python and deep learning frameworks (PyTorch preferred).
  • Solid software engineering background; designing and debugging distributed systems.
  • Experience building and running Dockerised microservices, ideally with Kubernetes/EKS.
  • LLM API integrations (OpenAI, Claude, Gemini), FastAPI for ML services and REST inference APIs
  • Familiarity with message brokers (Kafka, RabbitMQ, or similar).
  • Comfort working in hybrid cloud/on-prem deployments (AWS, Databricks, or industrial environments).
  • Exposure to time-series or industrial data (historians, IoT, SCADA/DCS logs) is a plus.
  • Domain experience working as a data scientist in oil and gas or energy is a plus.
  • Ability to work in forward-deployed settings, collaborating directly with customers.
  • Comfortable in customer-facing technical roles.
  • Able to operate in forward-deployed environments.
  • Strong troubleshooting capability in production AI systems
What Success Looks Like
  • AI systems are deployed and running in customer environments.
  • Models are tuned to customer data and delivering operational value.
  • Anomalies and predictions are trusted by engineers.
  • Multi-agent copilots function reliably in production workflows.
  • RAG systems retrieve accurate, domain-relevant insights.
  • Inference pipelines run with high uptime and low latency.
Responsibilities 1) AI System Deployment & Configuration
  • Deploy Orbital’s AI/ML services into customer environments.
  • Configure inference pipelines across cloud, on-prem, and hybrid infrastructure.
  • Package and deploy ML services via Docker/Kubernetes.
  • Ensure inference services are reliable, scalable, and production-ready.
2) Time Series & Predictive Model Tuning
  • Deploy and tune time-series forecasting and anomaly detection models.
  • Adapt models to customer-specific industrial processes.
  • Configure thresholds, alerting logic, and detection sensitivity.
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