Machine Learning Engineer
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حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكتروني
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الوصف الوظيفي
Are you driven by innovation and a bias for action Vaarst is the place for you. Were a tech company committed to making a real impact through groundbreaking solutions. Join us and be part of a team that turns ideas into reality.
Location: Bristol Hybrid role with2 Days per week in the office
Salary: Up to 75000 if you have all of the skills &experience we are looking for
Take a look at one of our products in action
SubSLAM X2 Unlocking the Future of Marine Robotics YouTube
Founded in 2021 by our sister company Rovco weve announced funding of more than 20 million been voted one of the most innovative and sustainable companies working towards net zero and won awards for Best Use of AI and Best Technology Innovation.
Discover your place in a hybrid team of 120 people that celebrates diversity knowing that every perspective is a valuable part of our success and that empowers you to achieve a fulfilling worklife balance.
Machine Learning Engineer
Vaarst is seeking a Machine Learning Engineer to join our Applied ML team. This role is for you if you are passionate about both training ML models and implementing robust scalable repeatable practices at all stages of the ML lifecycle.
You will bea key team member helping to deliver ML in production and strategic MLOps initiatives.
In addition this is an incredible opportunity to help further the transition to renewable energy.
Objectives & Responsibilities:
Vaarst is an exciting and dynamic environment meaning these are likely to change as we grow upon joining your objectives and responsibilities will include:
- Design develop and deploy machine learning models in the marine subsurface domain for computer vision autonomy and Edge ML applications.
- Work on advancing cuttingedge tech in AI Machine Learning Computer Vision and Autonomy.
- Build ML models that meet performance reliability and scalability expectations.
- Prepare data for ML processing and develop rapid experimentation infrastructure.
- Contribute to MLOps infrastructure and optimize CI/CD pipelines for efficient ML model deployment and testing.
- Monitor deployed models for performance proposing improvements to meet business objectives.
- Stay up to date with ML and MLOps advancements assessing their applicability to our goals.
You should apply if you have:
(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):
- Proven background designing and deploying ML models in production.
- Experience with MLOps practices and tooling (e.g. Docker GitHub Actions DVC/CML CI/CD pipelines).
- Ability to work with ML for image and/or video processing.
- Technical expertise in AI: Deep Learning Machine Learning Statistics.
- Proficiency with Python and writing high quality code or strong experience in other languages and a willingness to learn Python.
- Excellent awareness of software engineering and coding best practices.
- A Passion for building scalable and reliable ML systems.
Grow together with Vaarst you may have some knowledge of the following if you dont these are areas youll develop in.
- Knowledge or experience of Autonomous Surface Vehicles and Autonomous Underwater Vehicles.
- Deployment of ML on edge devices.
- Previous experience of workingwith ML for video processing.
- Experience with large language models.
- Experience with reinforcement learning.
- A background in the marine or GIS domains.
- Exposure to workingwith AWS or other cloud platforms.
- Knowledge ofPyTorch PyTorch Lightning OpenCV CVAT Docker ROS.
- An understanding ofedge computing frameworks like TensorRT.
Benefits
At Vaarst were committed to creating a diverse and inclusive workplace where everyone can thrive. Our hybridremote approach and stateoftheart Bristol Office Hub provide a welcoming space designed to nurture your creativity productivity and wellbeing.
In addition youll get an extensive range of benefits so you can focus on doing your very best work:
- Flexible hybrid working so you can work when is best for you
- 25 days annual leave to start with increasing to 35 days after 6 years bank holidays
- Private medical insurance including Dental optical which can be extended to your family
- Career and learning development through paid courses conferences and events
- Curiosity fund up to 500 to spend on learning which is not role related
- Up to 10% company bonus
- Pension up to 6% company contribution
- Life assurance 4X base salary
- Volunteering day to give back to your local community
- Enhanced maternity and adoption leave
- Cycle to work scheme
- Recognition & rewards for doing great work and living our values and behaviours
- Flexible working options including reduced hours job share phased return to work term time working compressed hours
- Were a sociable tightknit team with monthly socials
- Hybrid working Most teams work in our offices 2 days a week to collaborate and be hands on with our technology. When you do visit our Bristol office is 10 minute walk from the train station with a balcony fresh fruit snacks and drinks in the office
Join Vaarst in our mission to make the world a cleaner greener and safer place by deploying technology for good.
Interview Process
At Vaarst weve designed a straightforward interview process to ensure the best fit for both you and the company. We have adopted anonymised recruitment. This means that your name date of birth and other personal details will not be seen by the hiring team.
- Application: Begin by submitting your application with your CV highlighting your skills and experience relevant to the job. Answer key questions on elements that are important to the role.
- Talent Partner Interview: We will tell you more about the role the team and Vaarsts mission. This is a twoway conversation; we want to learn about your motivation what you can bring to Vaarst and provide answers to your questions.
- Aptitude Test: Demonstrate your critical thinking problemsolving abilities and workplace personality through an aptitude test. It includes a timed cognitive exercise and a workplace personality questionnaire.
- Team Interview: Engage in a 1hour interview with a few team members. Experience the role firsthand and share your skills and experience. Well discuss our technologies key skills and team dynamics. As always feel free to ask any questions you may have.
- CTO Conversation: Meet with our CTO for a 30minute discussion. This is your opportunity to express your thoughts on the role and ask any final questions. Well clarify expectations and ensure this role aligns with your aspirations.
- Offer! If you are successful in the process youll receive an offer to join Vaarst and become part of our team.
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
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