At a Glance
- Tasks: Join us as an R&D Engineer to innovate in neurosymbolic AI and decision intelligence.
- Company: Rainbird is a pioneering AI scale-up transforming complex decision-making with our award-winning platform.
- Benefits: Enjoy flexible remote work options and a competitive salary based on experience.
- Other info: We value diversity and are an equal opportunities employer.
- Why this job: Be at the forefront of AI innovation, collaborating with experts to shape the future of technology.
- Qualifications: Advanced degree in AI or related field, programming skills in Python, and experience with LLMs required.
The predicted salary is between 36000 - 60000 £ per year.
Full Stack Engineer (ML Ops)
London, UK FinTech · Banking · Finance
Skills & Experience
Job roles: Full Stack Experience level: Mid, Senior Core skills considered: Java, React, Redux, AWS, JavaScript
Logistics
Base salary: £70K - £110K
Employment type: Permanent
Remote working: Hybrid (up to 2 remote days per week)
Visa sponsorship: Not available
Job Description
Starling is the UK’s first and leading digital bank on a mission to fix banking! Our vision is fast technology, fair service, and honest values. All at the tap of a phone, all the time.
Starling is the UK’s first and leading digital bank on a mission to fix banking! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way.
We’re a fully licensed UK bank with the culture and spirit of a fast-moving, disruptive tech company. We’re a bank, but better: fairer, easier to use and designed to demystify money for everyone. We employ more than 3,000 people across our London, Southampton, Cardiff and Manchester offices.
Our technologists are at the very heart of Starling and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together!
The way to thrive and shine within Starling is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, discovering, to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five Starling values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness.
Hybrid Working
We have a Hybrid approach to working here at Starling - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. We don't like to mandate how much you visit the office and work from home, that's to be agreed upon between you and your manager.
Our Data Environment
Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective and agile decision making, regardless of what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech.
We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to Starling. People with a broad ability to apply themselves to a multitude of problems and challenges, who can work across teams do great things here at Starling, to continue changing banking for good.
Requirements
We have built our entire banking platform in house and mostly in Java. We are looking for people who want to work on building the tooling that is used by our engineers on a daily basis.
We are looking for people who are truly full stack, and are as comfortable polishing their javascript front end as they are debugging the innards of their java applications database interactions, or standing up infrastructure with terraform. We are looking for people who can:
- Design REST apis.
- Code backend services, ideally using Java, or another other server side compiled language.
- Develop modern front ends, ideally using React and Redux.
- Get their code into the cloud and support it there, ideally on AWS.
- Believe in clean coding, simple solutions, automated testing and continuous deployment.
- Like to take ownership of a feature from the original idea through to live.
- Think (like us) that a small number of empowered developers is the right way to deliver software.
Company Benefits
- 33 days holiday (including flexible bank holidays)
- An extra day’s holiday for your birthday
- 16 hours paid volunteering time a year
- Part-time and/or flexible hours available for most roles
- Salary sacrifice, company enhanced pension scheme
- Life insurance at 4x your salary
- Hybrid/remote working
- Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton
- Generous family-friendly policies
- Varied social groups set up and run by our employees
- Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks
- Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing
Full details are available on our careers site
Interview Process
Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team:
- Stage 1 - 30 mins with one of the team
- Stage 2 - Take home challenge
- Stage 3 - 90 mins technical interview with two team members
- Stage 3 - 45 min final with an executive and a member of the people team
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R&D Engineer – Neurosymbolic AI employer: Rainbird Technologies
At Rainbird, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among a highly skilled team. With flexible remote working options and a commitment to employee growth, we empower our R&D Engineers to push the boundaries of AI technology while contributing to meaningful advancements in decision intelligence. Join us in shaping the future of explainable AI in a supportive environment that values your expertise and creativity.
StudySmarter Expert Advice🤫
We think this is how you could land R&D Engineer – Neurosymbolic AI
✨Tip Number 1
Familiarise yourself with the latest advancements in neurosymbolic AI. Follow relevant research papers and industry news to understand current trends and challenges. This knowledge will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Engage with the AI community by attending webinars, conferences, or meetups focused on symbolic AI and large language models. Networking with professionals in the field can provide valuable insights and potentially lead to referrals for the R&D Engineer position at Rainbird.
✨Tip Number 3
Showcase your practical experience by working on personal projects that involve integrating LLMs with symbolic AI. Document these projects on platforms like GitHub to create a portfolio that highlights your skills and problem-solving abilities, making you a more attractive candidate.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges and algorithm questions related to AI and machine learning. Focus on Python and Go, as these are crucial for the role. Being well-prepared will boost your confidence and improve your chances of impressing the interviewers.
We think you need these skills to ace R&D Engineer – Neurosymbolic AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in neurosymbolic AI, programming languages like Python and Go, and any work with large language models. Use keywords from the job description to align your skills with what Rainbird is looking for.
Craft a Compelling Cover Letter:In your cover letter, express your passion for AI innovation and detail how your background aligns with the role. Mention specific projects or experiences that demonstrate your expertise in integrating symbolic and neural methodologies.
Showcase Your Research Experience:If you have conducted research in AI or machine learning, summarise your findings and their practical applications. Highlight any publications or presentations that showcase your ability to translate theoretical knowledge into real-world solutions.
Highlight Problem-Solving Skills:Provide examples of complex problems you've solved in previous roles, particularly those related to AI systems. This will demonstrate your analytical skills and your ability to innovate within the AI landscape, which is crucial for this position.
How to prepare for a job interview at Rainbird Technologies
✨Understand Neurosymbolic AI
Make sure you have a solid grasp of neurosymbolic AI concepts. Be prepared to discuss how symbolic reasoning and large language models can be integrated, as this is central to the role.
✨Showcase Your Technical Skills
Highlight your programming expertise, especially in Python and any experience with strongly typed languages like Go. Be ready to provide examples of past projects where you've applied these skills.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your analytical and problem-solving abilities. Practice explaining your thought process clearly, as this will demonstrate your approach to tackling complex AI challenges.
✨Stay Current with AI Trends
Familiarise yourself with the latest developments in AI and machine learning, particularly in areas relevant to the role. Being able to discuss recent research or innovations will show your passion and commitment to the field.