Machine Learning Engineer
Machine Learning Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Job Title: Machine Learning Engineer
Reporting To: VP Data and AI
Location: Bristol Hybrid 2 days in office per week
Salary:Depending on skills and experience
As aMachine Learning Engineer at Beam youll report to Cate Seale ourVP of Data and AI. Youll beresponsible for designing developing and deploying advanced ML models primarily in the marine and renewable energy domains.
This role involves building robust scalable and highperforming ML systems with an emphasis on computer vision autonomy and edge ML applications.
As a key contributor you are responsible for innovation across the model lifecycle from data preparation and rapid experimentation to deployment and monitoring.
In addition to model development ML Engineers help optimize and enhance our MLOps infrastructure and CI/CD pipelines. Staying at the forefront of advancements in ML and MLOps is a vital aspect of your work as you integrate emerging techniques and tools to maximise impact on business objectives.
You willmake a significant impact by delivering efficient and accurate data processing and interpretation enabling nextgeneration capabilities in autonomy and computer vision and helping to establish Beam as a leader in sustainable marine and renewable technologies.
Well welcome your ideas & input and support your development In addition this is an incredible opportunity to help further the transition to renewable energy.
Beam is an exciting and dynamic environment meaning these are likely to change as we grow. Upon joining your objectives and responsibilities will include:
- Deploy and Manage ML Products Maintain and optimize CI/CD pipelines ensuring continuous integration and safe reliable model releases.
- Monitor and Improve Model Performance Proactively evaluate deployed models identify issues and implement enhancements.
- Drive Innovation and Experimentation Stay updated with ML/AI advancements prototype new concepts and integrate emerging techniques.
- Handson ML Engineering Develop model architectures data pipelines and leverage containerization/orchestration (e.g. Docker Kubernetes).
- Ensure Code Quality and Best Practices Conduct code reviews advocate performance optimizations and mentor team members
- Collaborate in Agile Environments Work crossfunctionally participate in Agile workflows and refine processes for better ML solution delivery.
You should apply if you have:
- Proven experience designing training and deploying ML models in production environments
- Strong experience with MLOps practices and tooling (e.g. Docker GitHub Actions DVC/CML CI/CD pipelines).
- Strong experience with ML for unstructured data such as image video point cloud sonar radar magnetometer or seismic data.
- Technical expertise in AI: Deep Learning Machine Learning Statistics.
- Strong proficiency with Python (or similar) with a commitment to highquality coding standards
- Excellent awareness of software engineering and coding best practices
- Passion for building scalable and reliable ML systems
We know its tough but please try to avoid the confidence gap. You dont have to match all the listed requirements exactly to be considered for this role.
Grow together with Beam where you may learn or build on your expertise in these skills:
- Knowledge or experience with Autonomous Surface Vehicles and Autonomous Underwater Vehicles
- Deploying ML on edge devices
- Realtime inference and Edge ML
- Working with large language models
- Reinforcement learning
- Marine or geospatial domains
- AWS or other cloud platforms
- PyTorch PyTorch Lightning OpenCV CVAT Docker ROS
- Edge computing frameworks like TensorRT
About Beam
At Beam we bring the technology to transform offshore wind through AI and robotic automation alongside the determination to tackle the significant challenges ahead. Were committed to making the transition to renewable energy a reality.
Through industrydefining R&D and transformative partnerships were reshaping what it means to work in offshore wind. Beam is making wind farm development more efficient reducing risk complexity and cost while helping to cure an unsustainable dependence on oil and gas.
Check out the Latest Beam Updates
Together we are Beam. And were leading the charge towards a sustainable future.
Benefits
People join Beam because they are excited by the possibility of leaving their own mark on the world and developing solutions that solve real world problems. Although we share the same vision we value varied perspectives and adapt to fit different people from all walks of life. Not only does that make for a genuinely awesome team of colleagues but it also makes daytoday life more interesting and its how we keep evolving and getting better at what we do.
We believe in flexibility career growth and a work culture that empowers you. Heres what you get at Beam:
- Flexible & hybrid working (up to 3 days from home).
- 33 days annual leave increasing 2 days a year up to 43 days after 6 years.
- Private medical insurance(including Dental & Optical and 4X Life Assurance).
- Up to 10 company bonus & pension contributions up to 6.
- Curiosity Fund 500 annually for personal development outside of work.
- Volunteering day to give back to your community.
- Enhanced Maternity & Adoption leaveprevious time with a new family
- Cycle to workand get yourself a new bike.
- Recognition & rewards for great work and living our values
Join Beam in our mission to make the world a cleaner greener and safer place by deploying technology for good.
Interview Process
Our process is straightforward and transparent. We use anonymized recruitment to ensure fairness.
- Apply: Submit your application & answer key questions.
- Aptitude Test: Showcase your critical thinking & problemsolving skills
- Talent Partner Interview: Learn more about the role & discuss your experience.
- Team Interview: Meet team members & discuss technology skills and challenges.
- Executive Conversation: Meet with an executive leader to discuss expectations.
- Offer! Join Beam and be part of something bigger.
We value the diversity of our teams and are committed to supporting and welcoming individuals from all backgrounds knowing that every perspective is a valuable part of our success. Should you require any reasonable adjustment throughout the recruitment process please do not hesitate to let a member of the Talent team know.
Be part of a technology company making a positive impact apply now
Employment Type
Full Time
