At a Glance
- Tasks: Develop innovative AI models to advance marine and environmental sciences.
- Company: Join the National Oceanography Centre, a leader in ocean research.
- Benefits: Enjoy 30 days leave, flexible working, and a supportive work environment.
- Why this job: Make a real impact on global ocean research with cutting-edge technology.
- Qualifications: Experience in AI and data science within a research setting.
- Other info: Collaborate with a diverse team and grow your skills in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
This role is part of NOCās Digital Science function and, working alongside software engineers, scientists, and designers, it will contribute to create the āNOC of the futureā. We are seeking a purpose-driven AI expert who wants to advance marine and environmental sciences by developing novel and useful AI research infrastructure and models. Our team is formed by over 30 Research Software Engineers, AI and Data scientists, and UI/UX experts. We design and develop research capabilities (e.g., pipelines, interfaces, applications), provide training, and establish collaborations to accelerate innovation across NOC and the wider international oceanographic community.
Our projects encompass topics such as processing advanced seafloor imaging, frameworks for training AI models, global ocean modelling, interactive visualisation, robotic autonomous systems, and Digital Twins. This role provides excellent opportunities to bring AI leadership to accelerate innovation and purposeādriven research across the organisation. The role will be part of NOCās Software Engineering and AI team and provides opportunities for leading teams and learning a wide variety of skills working across oceanārelated, multiādisciplinary, and international communities.
We are looking for an exceptional candidate with experience of developing AI, data science infrastructure, and AI models in a research environment. Working at a senior level, you will engage widely to embed AI across NOC ocean observations and research value chain, ensuring that the science NOC does has maximum societal impact. You will have a strong track record of working in AI in environmental sciences and experience of collaborative work.
Why NOC?
- 30 days contractual annual leave, plus 3.5 extra closure days and bank holidays
- a 10% employer contribution pension scheme (with a 15% NI saving on employee contributions made above 5%, if in the salary sacrifice scheme)
- financial support for relocation
- a salary sacrifice scheme for electric / hybrid vehicles (qualifying period applies)
- access to our Employee Assistance Programme, offering free and anonymous support on mental, physical, emotional, health and financial issues
- access to a flexible benefits portal offering online discounts, cashback and eGift cards
- a Cycle2Work scheme allowing employees to acquire bikes and accessories
- a great working environment with a number of social events, including summer and Christmas celebrations
- we are proud to be a Living Wage Employer
This position can be based in Southampton or Liverpool. Our Southampton site is well connected by public transport and has ample cycle parking in addition to free onsite carāparking with over 40 EV charging points. The Liverpool centre is part of the University campus and is only a short walk from the city centre and Lime Street station. We have a hybrid working approach where for most positions staff can work from home up to 2 days per week. If you are interested in this position, but require a more flexible working arrangement, please contact the recruitment team using the contact details below.
Please click āApply for this jobā and submit an up-to-date CV and cover letter. If you are unable to apply online, please contact the NOC recruitment team at careers@noc.ac.uk / 07955 851648. Before submitting your application, please ensure you have reviewed the attached job description and person specification.
We are committed to fostering diversity and inclusion in our workplace. We actively encourage qualified candidates from all backgrounds to apply for this position, as we strive to create a supportive and equitable environment where all voices are valued and heard. Those seeking employment at NOC are considered solely on their qualifications, skills and experience, without regard to gender, gender identity, age, race, religion, disability, sex, sexual orientation, relationship status, family status (including pregnancy / maternity leave) or any other protected characteristic. There is a guaranteed interview scheme for candidates who meet the minimum criteria of the position and declare a disability.
AI Research Software Engineer employer: National Oceanography Centre
Contact Detail:
National Oceanography Centre Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land AI Research Software Engineer
āØTip Number 1
Network like a pro! Reach out to current employees at the National Oceanography Centre on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
āØTip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your AI projects. This is your chance to demonstrate your expertise and passion for marine and environmental sciences.
āØTip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and AI concepts. Mock interviews with friends or using online platforms can help you feel more confident.
āØTip Number 4
Apply through our website! Itās the best way to ensure your application gets seen. Plus, it shows youāre genuinely interested in the role and the organisation.
We think you need these skills to ace AI Research Software Engineer
Some tips for your application š«”
Tailor Your CV: Make sure your CV is tailored to the AI Research Software Engineer role. Highlight your experience in developing AI and data science infrastructure, especially in marine and environmental sciences. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about advancing marine sciences through AI. Share specific examples of your collaborative work and how you can contribute to the NOC's innovative projects.
Showcase Your Projects: If you've worked on relevant projects, donāt hold back! Include links or descriptions of your work that demonstrate your expertise in AI models and research capabilities. We love seeing practical applications of your skills!
Apply Through Our Website: Remember to apply through our website for the best chance of getting noticed. Itās straightforward, and weāre excited to see your application come through. Donāt forget to double-check everything before hitting submit!
How to prepare for a job interview at National Oceanography Centre
āØKnow Your AI Stuff
Make sure you brush up on your AI and data science knowledge, especially as it relates to environmental sciences. Be ready to discuss specific projects you've worked on and how they can relate to the role at NOC.
āØShow Your Collaborative Spirit
Since this role involves working with a diverse team of engineers, scientists, and designers, be prepared to share examples of how you've successfully collaborated in the past. Highlight your teamwork skills and how you can contribute to a multi-disciplinary environment.
āØUnderstand NOC's Mission
Familiarise yourself with the National Oceanography Centre's goals and recent projects. This will help you articulate how your skills and experiences align with their mission to advance marine and environmental sciences through innovative AI solutions.
āØPrepare Questions
Have a few thoughtful questions ready for your interviewers. This shows your genuine interest in the role and the organisation. Ask about their current projects, team dynamics, or how they envision the future of AI in oceanography.