At a Glance
- Tasks: Join our ML team to develop and improve cutting-edge video technology.
- Company: Award-winning tech company focused on innovative video solutions.
- Benefits: Training courses, complimentary snacks, bike scheme, and a supportive culture.
- Why this job: Kickstart your career in AI and machine learning with real-world impact.
- Qualifications: Curiosity and a passion for learning; coding experience is a plus.
- Other info: Dynamic environment with opportunities for personal and professional growth.
The predicted salary is between 28800 - 43200 ÂŁ per year.
Full-Time 37.5 hours over 5 days. Office centric from Bristol Office.
About One Big Circle: Be part of an award-winning workplace. Formed in 2017, One Big Circle is a fast-growing Bristol technology company that provides âIntelligent Videoâ solutions. We focus entirely on solving real-world industry problems by fusing new technology in the field of Video, IOT, Cloud and AI providing end to end solutions which allow our customers to dramatically improve their operational efficiency and safety. Our culture is one of high-quality technical delivery and we work at a speed that many industries are unaccustomed to; we have done this by building a team dynamic that challenges and empowers our people and creating an environment where everyone contributes and learns.
We are looking for a proactive and motivated individual to join our team to support the business in further growing our flagship award-winning product: AIVR. AIVR (Automated Intelligent Video Review) is a state-of-the-art video technology system used by thousands of people in the rail industry. AIVR has won dozens of awards and is recognised as the market leading solution, but we are building many more opportunities both in existing and new markets which will further accelerate our growth. We have built a culture where people feel supported, included, and empowered to do their best work.
Role Summary: An exciting opportunity to start a career with a diverse and fast-growing team, developing your skills on a variety of innovative projects. We're looking for someone with a strong interest in Machine Learning (ML), Large Language Models (LLMs), and Artificial Intelligence (AI) more broadly to join our ML team. You donât need to know everything from day one, but curiosity, a willingness to learn, and a hands-on mindset are key.
Responsibilities:
- You will help create and test software within a skilled team that likes getting things done.
- You will learn a range of current and new technologies from experienced software engineers.
- You will be given increasing responsibility for elements of each project as you continue to prove yourself.
- There is significant scope to adapt the exact role to your skills and interests, but in the first instance you will spend time developing, evaluating and improving ML models to detect and classify items within footage from video, thermal, and other sensors, under the supervision and guidance of senior engineers.
- Youâll also be involved in deploying new ML-based services into production environments.
- Youâll gain experience of a range of relevant technologies such as Python for data science and ML, Computer Vision, including OpenCV, Docker/containerisation.
Personal Qualities and Experience: You are someone who enjoys learning new skills, finding out things and also learning from mistakes. Weâd like you to be reliable, curious, and ready to deal with problems and get them solved. We strongly encourage those from under-represented groups to be confident in applying to us. You do not need to have any formal experience working in software, but you should be able to demonstrate your interest by having done something or worked on a âpassion projectâ yourself. You might have developed an object detection model, or built and trained an image classifier, or used OpenCV or similar to detect specific objects from a real-time feed, or some other relevant activity. You should have some familiarity with at least one general purpose programming language.
Company Benefits Include:
- Work related training courses as required
- Complimentary snacks and refreshments including fresh fruit
- Access to Bike to Work Scheme
- Secure bike storage and shower facilities
How to Apply: Join an award-winning team. At One Big Circle, youâll be part of a fast-growing team where your ideas and contributions are truly valued. Please send your CV and covering letter to us. By applying for this role, you acknowledge that One Big Circle Ltd will process your personal data for recruitment purposes in accordance with UK data protection legislation, including the UK GDPR and the Data Protection Act 2018.
Junior Machine Learning Developer in West Bromwich employer: One Big Circle Ltd
Contact Detail:
One Big Circle Ltd Recruiting Team
StudySmarter Expert Advice đ€«
We think this is how you could land Junior Machine Learning Developer in West Bromwich
âšTip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at One Big Circle. A friendly chat can sometimes lead to opportunities that arenât even advertised!
âšTip Number 2
Show off your passion projects! If you've dabbled in machine learning or AI, make sure to highlight those experiences in conversations or interviews. Itâs all about demonstrating your curiosity and hands-on mindset.
âšTip Number 3
Prepare for technical chats! Brush up on your Python skills and be ready to discuss any relevant technologies youâve worked with. Being able to talk confidently about your experience will set you apart from the crowd.
âšTip Number 4
Apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in being part of our award-winning team at One Big Circle.
We think you need these skills to ace Junior Machine Learning Developer in West Bromwich
Some tips for your application đ«Ą
Show Your Passion: When writing your application, let your enthusiasm for Machine Learning and AI shine through! Share any personal projects or experiences that demonstrate your interest in the field. We love seeing candidates who are genuinely excited about what they do.
Tailor Your CV: Make sure your CV is tailored to the role of Junior Machine Learning Developer. Highlight relevant skills, experiences, and any technical projects you've worked on. We want to see how you can contribute to our team, so make it easy for us to spot your strengths!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for One Big Circle. Be sure to mention why you're interested in our company and the AIVR product. Keep it concise but engaging â we want to feel your excitement!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way to ensure your application gets to us quickly and efficiently. Plus, youâll get to explore more about our culture and values while youâre at it!
How to prepare for a job interview at One Big Circle Ltd
âšKnow Your Stuff
Make sure you brush up on your knowledge of Machine Learning, Large Language Models, and AI. Familiarise yourself with the latest trends and technologies in these areas, as well as any relevant projects you've worked on. This will show your genuine interest and help you stand out.
âšShow Your Passion Projects
Be ready to discuss any personal projects or experiences related to ML or AI. Whether it's an object detection model or using OpenCV, sharing your hands-on experience will demonstrate your curiosity and willingness to learn, which is exactly what they're looking for.
âšAsk Smart Questions
Prepare some thoughtful questions about the companyâs projects, especially AIVR and its applications. This not only shows your enthusiasm but also helps you understand how you can contribute to their goals. Plus, it makes for a great conversation starter!
âšEmphasise Teamwork and Learning
One Big Circle values collaboration and continuous learning. Highlight your ability to work in a team and your eagerness to learn from others. Share examples of how you've tackled challenges in group settings or learned from past mistakes to show you're a good fit for their culture.