Are you driven by innovationand a bias for action Vaarst is the place for you. Were a techcompany committed to making a real impact through groundbreakingsolutions. Join us and be part of a team that turns ideas intoreality.
Location:Bristol Hybrid role with2 Days per week in theoffice
Salary: Up to75000 if you have all of the skills &experience we arelookingfor
Vaarstfocuses on making the world a cleaner greener and safer place bydeploying technology for good. Were using techniques inartificialintelligenceautonomy computer vision and marine robotics to createa difference in the world with underwater technology for ourclients in offshore wind and the subseaindustry.
Take a look at one of ourproducts inaction
SubSLAMX2 Unlocking the Future of Marine Robotics YouTube
Founded in 2021 by our sister company Rovco weveannounced funding of more than 20 million been voted one of themost innovative and sustainable companies working towards net zeroand won awards for Best Use of AI and Best Technology Innovation.
Discover your place in a hybrid team of 120people that celebrates diversity knowing that every perspective isa valuable part of our success and that empowers you to achieve afulfilling worklife balance.
MachineLearningEngineer
Vaarstis seeking a Machine Learning Engineer to join our Applied ML team.This role is for you if you are passionate about both training MLmodels and implementing robust scalable repeatable practices at allstages of the ML lifecycle.
You will bea keyteam member helping to deliver ML in production and strategic MLOpsinitiatives.
Inaddition this is an incredible opportunity to help further thetransition to renewable energy.
Objectives& Responsibilities:
Vaarstis an exciting and dynamic environment meaning these are likely tochange as we grow upon joining your objectives and responsibilitieswill include:
* Designdevelop and deploy machine learning models in the marine subsurfacedomain for computer vision autonomy and Edge MLapplications.
* Work on advancing cuttingedgetech in AI Machine Learning Computer Vision andAutonomy.
* Build ML models that meet performancereliability and scalability expectations.
* Prepare data for ML processing and developrapid experimentation infrastructure.
* Contribute to MLOps infrastructure andoptimize CI/CD pipelines for efficient ML model deployment andtesting.
* Monitor deployed models forperformance proposing improvements to meet business objectives.
* Stay up to date with ML and MLOps advancementsassessing their applicability to ourgoals.
Youshould apply if youhave:
(weknow its tough but please try to avoid the confidence gap. You donthave to match all the listed requirements exactly to be consideredfor this role):
* Provenbackground designing and deploying ML models inproduction.
* Experience with MLOps practices andtooling (e.g. Docker GitHub Actions DVC/CML CI/CDpipelines).
* Ability to work with ML for imageand/or video processing.
* Technical expertise inAI: Deep Learning Machine LearningStatistics.
* Proficiency with Python and writinghigh quality code or strong experience in other languages and awillingness to learn Python.
* Excellentawareness of software engineering and coding bestpractices.
* A Passion for building scalable andreliable MLsystems.
Growtogether with Vaarst you may have some knowledge of the followingif you dont these are areas youll developin.
* Knowledge orexperience of Autonomous Surface Vehicles and Autonomous UnderwaterVehicles.
* Deployment of ML on edge devices.
* Previous experience of workingwith ML forvideo processing.
* Experience with largelanguage models.
* Experience with reinforcementlearning.
* A background in the marine or GISdomains.
* Exposure to workingwith AWS or othercloud platforms.
* Knowledge ofPyTorch PyTorchLightning OpenCV CVAT Docker ROS.
* Anunderstanding ofedge computing frameworks likeTensorRT.
Benefits
At Vaarst werecommitted to creating a diverse and inclusive workplace whereeveryone can thrive. Our hybridremote approach and stateoftheartBristol Office Hub provide a welcoming space designed to nurtureyour creativity productivity and wellbeing.
In addition youllget an extensive range of benefits so you can focus on doing yourvery best work:
* Flexible hybridworking so you can work when is best for you
* 25days annual leave to start with increasing to 35 days after 6 yearsbank holidays
* Private medical insuranceincluding Dental optical which can be extended to yourfamily
* Career and learning development throughpaid courses conferences and events
* Curiosityfund 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 basesalary
* Volunteering day to give back to yourlocal community
* Enhanced maternity andadoption leave
* Cycle to work scheme
* Recognition & rewards for doing greatwork and living our values and behaviours
* Flexible working options including reducedhours job share phased return to work term time working compressedhours
* Were a sociable tightknit team withmonthly socials
* Hybrid working Most teams workin our offices 2 days a week to collaborate and be hands on withour technology. When you do visit our Bristol office is 10 minutewalk from the train station with a balcony fresh fruit snacks anddrinks in the office
Join Vaarst in ourmission to make the world a cleaner greener and safer place bydeploying technology for good.
InterviewProcess
At Vaarst weve designed astraightforward interview process to ensure the best fit for bothyou and the company. We have adopted anonymised recruitment. Thismeans that your name date of birth and other personal details willnot be seen by the hiring team.
* Application:Begin by submitting your application with your CV highlighting yourskills and experience relevant to the job. Answer key questions onelements that are important to therole.
* TalentPartner Interview: We will tell you more about therole the team and Vaarsts mission. This is a twoway conversation;we want to learn about your motivation what you can bring to Vaarstand provide answers to yourquestions.
* AptitudeTest: Demonstrate your critical thinkingproblemsolving abilities and workplace personality through anaptitude test. It includes a timed cognitive exercise and aworkplace personalityquestionnaire.
* TeamInterview: Engage in a 1hour interview with a fewteam members. Experience the role firsthand and share your skillsand experience. Well discuss our technologies key skills and teamdynamics. As always feel free to ask any questions you mayhave.
* CTOConversation: Meet with our CTO for a 30minutediscussion. This is your opportunity to express your thoughts onthe role and ask any final questions. Well clarify expectations andensure this role aligns with youraspirations.
* Offer!If you are successful in the process youll receive an offer to joinVaarst and become part of our team.
We value thediversity of our teams and are committed to supporting andwelcoming individuals from all backgrounds knowing that everyperspective is a valuable part of our success. Should you requireany reasonable adjustment throughout the recruitment process pleasedo not hesitate to let a member of the Talent team know.
Be part of atechnology company making a positive impact apply now