AI / ML Product Engineer

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Full time
Location: London
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Job offered by: Equals Group
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Category:
About us Over the last 18 years, we have helped over a million satisfied customers move and manage their money. Our award-winning product portfolio allows our customers to make low-cost multi-currency payments across various payment products. From travel money to transfers, currency hedging, to expense management, we are focused on a single goal of making it easy for our customers to manage and move their money. As a business, we are committed to delivering value to our customers through the combination of advanced payments technology and personal expert service. We’re doing this by hiring exceptional people and are now looking for an AI Product Engineer to join our team. Within our offices in London, Chester and Los Angeles and Europe, Equals comprises of three business lines and brands - Equals Money, FairFX and CardOneMoney. You will join a very close-knit, talented and supportive team from various backgrounds who believe that bringing different perspectives together helps us understand our customers' needs. United, by one thing, making money management straightforward and cost-effective for our customers. About the role Our technology departments consist of medium-sized, long-running teams that form part of a fun, hardworking, and exceptionally supportive group of around 65 engineers. We are looking to hire an AI Product Engineer to help us support and develop our highly successful Equals Money platform. As an AI Product Engineer, you will be integrating AI and machine learning capabilities into our products while also contributing to general front-end development tasks. You’ll be a general front-end engineer with a keen interest in AI, participating in AI/ML projects as part of our broader company initiatives. Working closely with product managers and stakeholders, you’ll enjoy the collaborative process of bringing innovative solutions to life. The initial responsibilities for this role will be: Enabling colleagues in Customer Service teams across the group with the goal of reducing contact resolution time and human interaction by 40% over the coming 12 months. There is a unique opportunity to start from scratch with new contact centre solution tooling. Utilising AI in existing core features such as expense management, thus automating what can be an administrative burden. Responsibilities Build and maintain React progressive web applications in TypeScript. Develop and implement AI and machine learning models to enhance product features. Integrate AI solutions into our products while contributing to general front-end development tasks. Write efficient, clean, well-documented code, and well-tested code. Deploy code to production regularly—often multiple times a day. Monitor the health and success of the services and features we build, including AI components. Work with product managers, engineers, and other stakeholders to prioritise workstreams. Drive forward the development of our products and empower your colleagues to do their best. Improve developer experience by applying your skills and knowledge. Draft architectural solutions and share knowledge with your colleagues. Implement features and own the delivery up to the point of it being in our customers’ hands. Maintain features to ensure future bugs are fixed promptly. Accountabilities Deliver front-end and AI components of projects on time and within scope. Maintain high standards of code quality and application performance. Achieve measurable improvements in product usability and customer satisfaction through innovative solutions. Actively contribute to team objectives and collaborate effectively within the team. Uphold the company’s values in all professional activities. Continuously seek opportunities for process and product improvements. Ensure compliance with data privacy and security regulations in AI implementations. Take ownership of tasks and drive them to completion with minimal supervision. Essential Skills React TypeScript Unit testing End-to-end testing Node.js HTML5, CSS3, Flexbox, CSS-in-JS solutions Git and working with GitHub Agile best practices Extensive knowledge of algorithms and data structures Software engineering best practices like BDD, TDD, Pair Programming, etc. Strong interest or experience in AI and machine learning Familiarity with AI frameworks like TensorFlow or PyTorch Ability to translate complex AI concepts into practical applications A role model for our values: Make it happen Succeed together Be the customer Go beyond Desirable Skills AWS Next.js Experience with other typed languages Native or hybrid mobile development Visual regression testing Experience with integrating AI or machine learning into front-end applications Knowledge of data privacy and security principles related to AI Understanding of ethical considerations in AI Our investment in you We welcome people into Equals and desire to grow and develop our talented teams. We believe in teamwork and celebrating our successes. We strive to embrace our values. We want to put you in the driving seat of your career and achieve your full potential through growth opportunities and developmental support. When you join Equals, we aim to help you to get more out of your career. We will also offer you the following benefits; Benefits A competitive salary benchmarked against a peer group. 25 days holiday per year + your birthday off Opportunities for progression, development and learning new skills - £250 towards the cost of learning & development. Free onsite Nuffield Health gym & pool (London) and discounted gym membership elsewhere GetActive with Aviva - Health and Wellbeing discounts on services and products Interbank currency rates on travel money and international transfers. Bupa Private Healthcare Free Eye Test and £50 up to the cost of glasses EAP Service - Mental Health Services Life Assurance Policy - x3 annual salary Contributory pension scheme Cycle to Work Scheme Season Ticket Loans Enhanced Parental Policies Complimentary tea, coffee, soft drinks and fruit We operate a hybrid working arrangement where possible Where possible we offer the opportunity to work flexibly and the opportunity to balance some remote working with time in the office collaborating, taking part in events and developing the social connections that make working with us rewarding.

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