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- Tasks: Join us as a Machine Learning Engineer to build innovative analytics platforms.
- Company: SynMax is a cutting-edge geospatial data analytics company transforming industries with AI-powered insights.
- Benefits: Enjoy remote work, competitive salary, mentorship, and growth opportunities in a dynamic startup environment.
- Why this job: Be part of a diverse team shaping the future of energy and maritime intelligence with impactful technology.
- Qualifications: BS in Computer Science or related field; 1+ years in ML or data engineering; strong Python skills required.
- Other info: We're open to various experience levels and encourage applications from diverse backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
About us:
SynMax is a pioneering geospatial data analytics company built on the principle of \”Why guess when you can know.\” We deliver AI-powered intelligence to maritime and energy sectors, transforming satellite imagery, AIS feeds, and market data into actionable insights through our platforms: Hyperion (energy intelligence), Theia (maritime domain awareness), Leviaton (LNG tracking), and Vulcan (power monitoring).With offices in Houston and London, we\’re a diverse team of engineers, data scientists, intelligence analysts, and industry experts dedicated to bringing transparency to traditionally opaque industries.
Job Summary:
We\’re seeking a talented Machine Learning Software Engineer to join our growing engineering team and help build industry-disrupting analytics platforms. You\’ll work at the intersection of machine learning, data engineering, and large-scale data processing, applying AI to diverse datasets to solve complex real-world problems in energy and maritime intelligence. This is an exceptional opportunity for someone who thrives in a dynamic startup environment and wants to grow their career alongside a rapidly expanding company. As we scale, you\’ll have the chance to take on increasing responsibilities and help shape the future of our ML infrastructure. We\’re open to hiring across experience levels (1+ years) depending on skills and fit.
Key Responsibilities
- Data Engineering: Build robust pipelines that integrate and fuse large-scale datasets from AIS feeds, market data, satellite imagery, and proprietary sourcesEnsure data quality, consistency, and reliability across heterogeneous data streams
- ML Development: Design and deploy models for pattern recognition, anomaly detection, and time-series forecastingContribute to model training, validation, and optimization processes
- Software Engineering: Develop production ML systems in Python on Google Cloud PlatformBuild and maintain APIs for data ingestion, model serving, and system integration
- Growth & Ownership: Take on increasing responsibility and help shape our technical direction, incorporating new technologies and proven best practices
Qualifications
- Education: BS in Computer Science, Engineering, Mathematics, or related field with relevant coursework in machine learning/statistics, software engineering principles, and database systems
- Core Skills: Python, ML frameworks (TensorFlow/PyTorch/scikit-learn), SQL, distributed computing, version control
- Experience: 1+ years in ML engineering or data engineering
- Mindset: Self-motivated with a growth mindset, adaptable to fast-paced startup environment, comfortable with ambiguity and evolving responsibilities
- Work Authorization: Must be eligible to work in US or UK
Preferred Experience:
- Data orchestration tools (e.g. , Airflow, Prefect)Experience deploying, monitoring, and maintaining ML models in production environments (MLOps)Familiarity with big data technologies (e.g. , Spark, Hadoop)Background in time-series analysis and forecastingExperience with data governance and security best practicesReal-time data streaming is a plus (Kafka, Beam, Flink)Experience with Kubernetes is a plusEnergy/maritime domain knowledge is a plus
What We Offer
- Competitive salary commensurate with experience and comprehensive benefits package (medical, dental, vision)
- Significant growth opportunities as an early team member in a scaling company
- Exposure to cutting-edge technology and diverse projects as we expand
- Collaborative and innovative work environment
- Fully remote work with access to Houston and London offices
- Direct impact on products used by major energy companies and government agencies
- Mentorship from experienced ML engineers and data scientists
- Conference attendance and continuing education support
- Opportunity to shape technical direction and establish best practices
How to apply?
Please submit your resume, a cover letter highlighting your experience with large-scale data processing and your ability to adapt and grow in dynamic environments, and any relevant project portfolios or GitHub repositories. We\’re particularly interested in examples where you\’ve successfully integrated diverse data sources or scaled data processing systems.
SynMax is an equal opportunity employer committed to building a diverse and inclusive team.
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Machine Learning Engineer employer: SynMax
Contact Detail:
SynMax Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as TensorFlow, PyTorch, and Google Cloud Platform. Having hands-on experience or projects that showcase your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any experience you have with data orchestration tools like Airflow or Prefect. If you’ve worked on projects involving large-scale data processing, be ready to discuss how you managed data quality and integration of diverse datasets.
✨Tip Number 3
Showcase your adaptability and growth mindset by preparing examples of how you've thrived in fast-paced environments. Be ready to discuss situations where you successfully navigated ambiguity or took on new responsibilities.
✨Tip Number 4
If you have any background knowledge in the energy or maritime sectors, make sure to mention it. Understanding the industry context can demonstrate your commitment and ability to contribute meaningfully to SynMax's mission.
We think you need these skills to ace Machine Learning Engineer
Some tips for your application 🫡
Tailor Your Cover Letter: Make sure to highlight your experience with large-scale data processing in your cover letter. Discuss specific projects where you've integrated diverse data sources or scaled systems, as this is what SynMax is particularly interested in.
Showcase Relevant Skills: In your CV, emphasise your core skills such as Python, ML frameworks, and SQL. Include any experience with data orchestration tools or big data technologies, as these are preferred by SynMax.
Include Project Portfolios: If you have relevant project portfolios or GitHub repositories, make sure to include links in your application. This will provide tangible evidence of your capabilities and experience in machine learning and data engineering.
Demonstrate Growth Mindset: In both your cover letter and CV, convey your self-motivated nature and adaptability to fast-paced environments. SynMax values candidates who can thrive amidst ambiguity and evolving responsibilities.
How to prepare for a job interview at SynMax
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, ML frameworks like TensorFlow or PyTorch, and any data engineering tools you've used. Bring examples of projects where you've built robust data pipelines or deployed machine learning models.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your ability to tackle complex real-world problems. Prepare to explain how you've approached challenges in previous roles, particularly in the context of large-scale data processing or machine learning.
✨Highlight Adaptability and Growth Mindset
SynMax values a self-motivated and adaptable mindset. Share experiences where you've thrived in dynamic environments, showcasing your ability to learn quickly and take on new responsibilities as needed.
✨Prepare Questions About the Company and Role
Research SynMax and its products thoroughly. Prepare insightful questions about their technology stack, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
