National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

▷ Only 24h Left: Principal Machine Learning Engineer -Personalisation United Kingdom ...

Staatliche Hochschule für Musik und Darstellende KunstMannheim
London
4 weeks ago
Applications closed

United Kingdom We strongly encourage applications frompeople of colour, the LGBTQ+ community, people with disabilities,neurodivergent people, parents, carers, and people from lowersocio-economic backgrounds. If there’s anything we can do toaccommodate your specific situation, please let us know. About CleoMost people come to Cleo to do work that matters. Every day, weempower people to build a life beyond their next paycheck, buildinga beloved AI that enables you to forge your own path towardfinancial well-being. Backed by Tier 1 investors, we’ve reachedmillions of people to support them throughout their financiallives, from their first paycheck to their first home and beyond.We're hitting headlines too. This year, Forbes named us as one oftheir Next Billion Dollar Startups, and we were crowned the'Hottest Tech Scaleup' at the Europas. Machine Learning Engineersat Cleo work on building novel solutions to real-world problems.This really does vary but could be: creating chatbots to coach ourusers around their financial health, creating classifiers to betterunderstand transaction data or even optimising transactions withinour payments platform. Ultimately, we’re looking for a brilliantPrincipal Machine Learning Engineer to join us on our mission tofight for the world's financial health. You’ll be leading technicalwork within a team of adaptable, creative and product-focusedengineers, who train & integrate cutting edge machine learningacross a variety of products and deploy them into production formillions of users. We understand our customers, we understand theirpain, and we are passionate about helping them. What you’ll bedoing - Training and fine-tuning models to help customers get morevalue from our chatbot and app through deeper personalisation,creating a smarter & more engaging experience. - Integratingour models with LLMs hosted by OpenAI, Anthropic, GCP, AWS. -Working cross-functionally with backend engineers, data analysts,UX writers, product managers, and others to ship features thatimprove our users’ financial health. - Driving the adoption ofappropriate state-of-the-art techniques for recommendation, messagecampaign optimisation, and contextual bandits. - Communicating theteam’s successes and learnings at the company level & beyond. -Developing a holistic view of personalisation and user-levelfeatures across Cleo, taking the initiative to extend existingapproaches to benefit new areas of the app and conversations. -Supporting ML Engineers around problem framing, ML modelling, andevaluation. Here are some examples, big and small, of the kinds ofproduct feature work our ML Engineers have taken part in over thelast year: - Designed and implemented AI agents to analyse andextract insights from users’ transactional data. - Developed modelsto interpret transactional data, enhancing the understanding ofusers’ finances. - Created contextual intent classifiers tounderstand user conversations with Cleo, enabling tailored andaccurate platform responses. - Engineered ML models to identify anddeliver relevant actions to users within Cleo, ensuring a seamless,context-aware conversational experience. - Built models to evaluaterisk in customer interactions with bank transaction features anduser activities. - Developed optimisation models to improve paymentsuccess rates for customers while minimising business costs.Whatever problem you tackle, and whichever team you join, your workwill directly impact those most in need, helping to improve theirfinancial health. What you’ll need - Experience in industry machinelearning roles as a technical leader or principal/staff engineer. -Excellent knowledge of both Data Science (python, SQL) andproduction tools. - A deep understanding of probability andstatistics fundamentals. - Big picture thinking to correctlydiagnose problems and productionising research. - Top tiercommunication skills, to be able to partner with Product andCommercial Leaders. - Industry-leading contributions to your field,communicated through conferences, blogs, talks, or open-sourceprojects. Nice to have - Strong experience with additionalprogramming languages, such as Java, Scala, C++. - Broadercontributions to your field through: conferences, blogs, talks, oropen-source projects. What do you get for all your hard work? - Acompetitive compensation package (base + equity) with bi-annualreviews. You can view our public progression framework and salarybandings here:https://cleo-ai.progressionapp.com/- This positionis a DS5 level and we can pay £111,184 - £145,088 p.a depending onexperience. - Work at one of the fastest-growing tech startups,backed by top VC firms, Balderton & EQT Ventures. - A clearprogression plan. We want you to keep growing. That means tryingnew things, leading others, challenging the status quo and owningyour impact. Always with our complete support. - Flexibility: Wework with everyone to make sure they have the balance they need todo their best work. - Work where you work best: We’re a globallydistributed team. If you live in London we have a hybrid approach;if you’re outside of London, we’ll encourage you to spend a coupleof days with us a few times per year. - Other benefits: - 25 daysannual leave a year + public holidays (+ an additional day forevery year you spend at Cleo). - 401k matching in the US and 6%employer-matched pension in the UK. - Private Medical Insurance. -1 month paid sabbatical after 4 years at Cleo! - Online courses& internal training to level up your skills. - Regular socialsand activities, online and in-person. - Online mental healthsupport via Spill. - And many more! Apply for this job * indicatesa required field #J-18808-Ljbffr

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.