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Remote Director Machine Learning Jobs in Radnor, PA

Eastern University

Adjunct Faculty- Data Science

PA · On-site +1

Adjunct Faculty Remote Employment: Remote Optional Job Number: 515 Department: Data Science ... Machine learning * Data visualization * Data manipulation Qualifications Preferred applicants will ...

YO AI Labs

SolidWorks Expert - Remote

Philadelphia, PA · Remote

$40 - $130/hr

Translate engineering requirements into structured CAD data suitable for AI learning and validation ... CNC machining. * Casting and forging. * Assembly modeling. * CAD editing and feature tree ...

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Director, Project Management

Blue Bell, PA · Remote

Director, Project Management (Gen Med) - Remote, US ICON is a global healthcare intelligence and ... Learning and development opportunities through structured training and career pathways Benefits may ...

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All JobsMachine Learning JobsRemote Director Machine Learning JobsRemote Director Machine Learning Jobs in Radnor, PA

Remote Director Machine Learning information

See Radnor, PA salary details

$32.5K

$83K

$127.2K

How much do remote director machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for remote director machine learning in Radnor, PA is $82,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,500.00 and $95,600.00 per year, depending on experience, location, and employer.

What does a remote director of machine learning do?

A Remote Director of Machine Learning leads teams of data scientists and engineers to develop, implement, and oversee machine learning solutions for an organization, all while working remotely. They are responsible for setting the strategic direction for ML projects, collaborating with stakeholders, and ensuring that models align with business objectives. This role typically involves both technical leadership—such as reviewing algorithms and architectures—and managerial duties, such as mentoring staff and managing budgets. Working remotely, they use digital collaboration tools to communicate, monitor progress, and deliver results effectively.

How does a remote director of machine learning typically coordinate and lead distributed teams across different time zones?

As a Remote Director of Machine Learning, effective coordination of distributed teams requires strong communication strategies, including regular video meetings, clear documentation, and use of collaborative project management tools. Leaders in this role often establish overlapping core hours and leverage asynchronous communication to accommodate various time zones. They focus on aligning goals, fostering a culture of transparency, and ensuring continuous progress through well-defined milestones. Building trust and maintaining team engagement remotely are common challenges, but successful directors prioritize mentorship, feedback, and virtual team-building activities to create a cohesive work environment.

What are the key skills and qualifications needed to thrive as a remote director of machine learning, and why are they important?

To thrive as a Remote Director of Machine Learning, you need advanced expertise in machine learning algorithms, data science, and leadership, typically supported by a graduate degree in a related field and extensive experience in deploying ML solutions. Familiarity with tools like Python, TensorFlow, PyTorch, cloud platforms, and experience with project management systems is essential, and certifications such as AWS Certified Machine Learning can be advantageous. Outstanding communication, strategic thinking, and the ability to mentor and manage distributed teams are crucial soft skills in this role. These skills and qualities are vital to successfully lead innovative ML projects, align technical teams with business goals, and drive impactful outcomes in a remote environment.

What is the difference between Remote Director Machine Learning vs Remote Data Science Manager?

AspectRemote Director Machine LearningRemote Data Science Manager
Required CredentialsMaster's or PhD in Computer Science, Data Science, or related field; experience in ML algorithmsMaster's in Data Science, Statistics, or related; strong analytical background
Work EnvironmentLeads ML teams, develops models, and oversees deployment in tech-focused companiesManages data science teams, focuses on insights and analytics for business decisions
Employer & Industry UsageTech firms, AI startups, large enterprises with AI initiativesFinancial, healthcare, retail, and other industries leveraging data insights

While both roles require advanced education and involve data-driven work, the Remote Director Machine Learning primarily focuses on leading ML model development and deployment, whereas the Remote Data Science Manager emphasizes managing data analysis teams and deriving business insights.

What cities near Radnor, PA are hiring for Remote Director Machine Learning jobs?

Cities near Radnor, PA with the most Remote Director Machine Learning job openings:

Remote Director Machine Learning jobs near you
Infographic showing various Remote Director Machine Learning job openings in Radnor, PA as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 27% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $82,956 per year, or $39.9 per hour.

HQ BARCELONA - Senior Scala Engineer

Jobandtalent

Cherry Hill, NJ • Remote

Full-time

Medical

Re-posted 5 days ago

Job description

Jobandtalent

  • Who we are: We are a workforce on-demand company that heavily relies on tech. We integrate the complete process of selecting, hiring, and managing employees, being the first in digitizing all the steps, introducing Artificial Intelligence solutions in multiple phases, obtaining faster and higher-quality service for our clients, and great satisfaction and loyalty for our workers.
  • Our Impact on Society: Our vision is to create a long-term job security condition for our workers while providing flexible solutions to our clients. We can do this by concatenating different short-term contracts and minimizing-or completely removing-their unemployed time. We want to remove the need for finding a job ever again.
  • Data-Driven: Being the owner of the entire hiring funnel, workforce management, and working experience, give us very unique data that we transform into powerful knowledge to make better decisions, improve job-candidate matches, estimate quality and affinity, and share performance feedback with our workers and clients. We are the most advanced workforce on-demand company thanks to our data and the way we use it.
  • Great Challenges for the Data Team: Integrating very different AI solutions to improve the experience for both our workers and employers (Shift Optimization, Machine Learning algorithms, Quality Score Estimations, Document recognition, etc.), relying on a very powerful ETL that permits endless automatizations while keeping the focus on data quality.
  • Growth Overview: An annual growth of 170%, available in multiple countries: the UK, Spain, Germany, Sweden, Mexico, Colombia, France, and more are coming. HQ in Madrid with a second big presence in Barcelona and some remote workers in the UK, The Netherlands, and the USA. And finally, some of our great clients are Amazon, XPOLogistics, Cabify, Santander, Just Eat, etc.


Senior Scala Polyglot

A Senior Engineer for the CORE Data Science team works across different projects together with Data Engineers, Data Scientists, and Data Analysts.


What do we expect from you

  • Raise the quality bar: build high-quality and sustainable code, and being able to propose better protocols, formats, and approaches when you see the need.
  • Direct impact and ownership: from brainstorming around the initial concepts and problems, to design and implement the solutions in production. You should be able to cover the entire full-cycle and being aware of how these solutions are used and how they perform over time.
  • Polyglot: you should be comfortable switching between different programming languages and/or frameworks, even though experience with Scala is extremely important.
  • Mentoring and leadership: as a Senior Engineer we need you to help to define protocols and procedures, guide other team members to improve their level and expertise as individuals and as a team.
  • Play outside your comfort zone: working on different Data Science related projects means working on areas in which you might not be the final expert. This means that you always have to be willing to grow and learn.


Requirements and Skills

  • 6+ Year experience as Backend Developer mainly building Scala and/or Java services and APIs, with staging and production environments.
  • Experience in writing production-quality code in a container-based fashion, and working with Amazon Web Services.
  • Experience with different kinds of databases (RDBMS, NoSQL, document-based, key-values based).
  • Desirable experience with Cassandra, Elasticsearch, Kinesis, Spark/Hadoop, Clickhouse.
  • Desirable experience working with ETL and Data Pre-processing pipelines (mainly in Python as we are using Airflow among other frameworks).
  • A valid work permit to be employed in Spain.
  • Fluent in English, both written and spoken.


Examples of Projects

The Data Science team is a very diverse team in terms of experiences and skills, and that is our straight point when facing new complex challenges. We need to design and implement the best solution for different problems without the sacrifice of a strong and high-qualitative code.

  • Implement Scala endpoints that run Machine Learning models that forecast the performance scores or our workers.
  • Build consumers from RabbitMQ and Kinesis to fill-up our Features Storage system.
  • Design and implement optimized data processing pipelines.
  • Brainstorm and improve our internal Information Retrieval frameworks and its libraries to improve the accuracy of the candidate-job matching across multiple countries.
  • Work with the Data Automation & Quality team on the ETL code to help automatizing complex data logics written in Python into clean and maintainable code.
  • Work on Proof-of-Concept tasks, from understanding very well a new problem, investigating and exploring solutions, and making them a reality leading the implementation to production.

Feel free to explore our JT Engineering Blog for more details.


Offer in Short

  • Great ownership of the projects with a direct impact on the product.
  • A complete benefits program that includes flexible remuneration through expenses for restaurants, transport, childcare, and health insurance.
  • A yearly budget for Conferences/meetup/self-learning.
  • Possibility of working remotely.
  • A yearly budget for Conferences/meetup/self-learning.
  • Working in an international and multidisciplinary team

You will be working in the Data Science team (read the last blog posts), together with Full-stack Engineers, Data Scientists, and Data Analysts.


Q&A

How the Jobandtalent Engineering team is structured?

  • What we call "Product Team" includes the Product & Design, Tech, and Data.
  • Product & Design all the Product Owners and Designers that belong to the different Product Features teams (cross-functional teams that take care of some specific parts of the product).
  • Tech includes all the main engineering profiles and guilds, such as Backend, Frontend, Android, iOS, and Platform. The majority of them are embedded into the Product Features teams to create our extremely independent and cross-functional teams.
  • Data includes three different teams, namely Data Analytics, Data Science, and Data Engineering.

How the Jobandtalent Data team is organized?

  • The Data team includes three different teams that work very closely together.
    • The Data Engineering one owns the data pipelines and processes that generate the data needed by our Data Warehouse, and thus by the entire Jobandtalent.
    • The Data Science team, which owns all the models used by the Product teams
    • The Data Analytics team is composed of two types of profiles: (i) Product Data Analysts, which work embedded in the Product Team following a Hub'n'Spoke approach, and (ii) Data Partners, which are working closely with other departments such as Finance, Sales, Marketing, etc.

How do we organize the tasks and the planning?

  • We are very data-driven, we have clear KPIs for each project, team, and goal.
  • We define strong OKRs for every quarter, we work with bi-weekly Sprint (each team has its own JIRA Project), and a Data PM is leading the delivery processes and metrics.


Join us in one of the hottest startups in Spain, breaking into a new market worldwide, learning and contributing with your expertise in innovating the entire job market!

Apply