We’re looking for people to join the Access family, who share our passion for believing in better, and who will help us continue to grow.   Love Work. Love Life. Be You. - is central to our success and how we give our customers the freedom to do more of what's important to them. What does Access offer you?  We offer a blended approach to office working, encouraging you to collaborate and connect in one of our thriving offices. We deliver on what we say, taking the development of our people seriously. We’ll work with you to progress your success plan and provide opportunities to accelerate your career.  On top of a competitive salary, our wellbeing days taking you to 25 days leave a year and a health contribution, you’ll also be able to choose from a range of benefits to suit you. We’re an organisation that likes to give back, so you’ll also have three charity days allocated to support a cause that matters to you.    If you have a solid foundation in machine learning techniques and an eagerness to learn and grow in a collaborative environment, this may be the role for you. As a Junior Machine Learning Engineer, you’ll be part of our dynamic Fathom team and you’ll actively contribute to the development of cutting-edge machine learning solutions in the field of financial modelling and generative AI. (Fathom is a member of the Access family) Day-to-day, you will be focused on:  • Collaboration with cross-functional teams to develop and optimize machine learning models for financial forecasting, risk assessment and portfolio management. • Analyzing large financial datasets to extract insights and identify trends that can drive business decisions – implementing and fine tuning supervised and unsupervised learning algorithms to solve financial modelling challenges. • Supporting the development and deployment of scalable ML solutions into product environments, working with quantitative analysts and financial experts to understand modelling requirements and translate them into technical solutions. • Staying up to date with the latest advancements in ML, AI & financial technology – documenting processes, methodologies and results, to ensure transparency and reproducibility. Your skills and experiences might also include:   • Bachelor’s degree in computer science, Data Science, Mathematics, Finance or a related field – a master’s degree is a plus. • A solid understanding of ML algorithms and proficiency in programming languages such as Python or R, with experience in ML libraries like Tensorflow, Pytorch or Scikit-learn. • Familiarity with financial concepts such as time series analysis, risk management or quantitative modelling is highly desirable, along with strong analytical and problem-solving skills, with an ability to work with large or complex datasets. • Experience with SQL and working with structured and unstructured data sources – knowledge of cloud platforms such as AWS, Azure, GCP and tools for ML deployment is a plus. What are we all about?  The Access Group is one of the largest UK-headquartered providers of business management software to small and mid-sized organisations in the UK, Ireland, USA and Asia Pacific. It helps more than 100,000 customers across commercial and non-profit sectors become more productive and efficient. Our products and solutions go beyond providing technology, we connect the right people with the right data, at the right time, through Access Workspace. At Access, we are committed to creating a welcoming and inclusive environment where everyone can thrive. If you're excited about this role, (even if your previous experience doesn't align perfectly), you might just be the perfect fit for us! We wholeheartedly believe in equality for all and the transformative power of diversity.   Why not join our vibrant team where you can love what you do, love how you live, and most importantly, be authentically you? Let's make a difference together.  Love Work. Love Life. Be You.