We are looking for a Lead ML Engineer to drive technical project delivery, guiding teams to develop robust, scalable machine learning and generative AI solutions crafted for our clients. If you enjoy seeing the impact of your work in real-world applications, this role is perfect for you. Not only will you play a critical part in client deliverables, but you will also have the chance to explore and apply cutting-edge machine learning techniques across a variety of industries and geographies, delivering projects end-to-end from initial design to production deployment.You will form an integral part of our close-knit team, directly contributing to the ongoing success of the business. We are seeking someone with a collaborative, can-do attitude who has a passion for delivering high-quality solutions and is comfortable leading the delivery of innovative, full-stack data science and machine learning projects.KEY RESPONSIBILITIES:Lead the design, development, testing, and evaluation of AI solutions for the successful delivery of several, simultaneous client projectsBuild strong client relationships and lead project centred client interactionsOversee the delivery of high-quality code and successful project outcomesBuild processes for extracting, cleaning and transforming data (SQL / Python)Build AI systems using Large Language ModelsActively seek out new opportunities to learn and developBe an example of data science and software engineering best-practice e.g. Git / Docker / cloud deploymentWrite proposals for exciting new commercial opportunitiesLine manage and provide career mentorship to other data scientistsManage project delivery teamsCollaborate with stakeholders to understand business needs and develop technical strategiesTake ownership of the development and implementation of internal processes and policiesProactive thought leadership to encourage development and promote ADSPContribute to the development and deployment of delivery solutionsAd-hoc data mining for insights using Python + Jupyter notebooksTrain and deploy state-of-the-art machine learning and reinforcement learning modelsKEY REQUIREMENTS:Degree in a quantitative field such as mathematics, statistics or data scienceExperience of strong communication skills, including leading meetings and presenting technical concepts to stakeholdersExperience of successfully leading complex data science and AI projects, including a holistic understanding of the data science development process, from design through to deployment, and associated project management and risksExperience completing code reviews in Python and SQL through Git, and applied other best practices to technical projectsExperience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for developmentExperience and understanding of applied machine learning techniques in Python (e.g. xgboost, regression, decision trees)Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g. reinforcement learning, deep learning, LLMs)Experience of using different analysis techniques to draw insight from complex dataUnderstanding of Docker implementations including Docker storage and volumesAbility to successfully manage delivery teamsUnderstanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursionAbility to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirementsAbility to think strategically and make complex decisionsEffective organisational skills e.g. planning, time managementEffective problem-solving and analytical skills, with high attention to detailFamiliarity of the most state-of-the-art AI developments and trendsExcellent Python, including relevant libraries for data analysis and machine learning (e.g. sklearn, Pandas, NumPy) and at least one deep learning frameworkCompany BenefitsMarket Competitive Compensation 💰: We benchmark salaries regularly to ensure you're paid fairly for the impact you makeAnnual Performance Bonus 👛: Your hard work deserves recognition, and we reward it with a bonus tied to your performance and our successGenerous Time Off 🏂: You’ll get 26 days of annual leave plus bank holidays, with additional enhanced sick pay when you need to rest and recoverEnhanced Family Leave 👨 👩 👧: We offer enhanced maternity and paternity leave to help you focus on what matters most when your family growsYour Birthday Off 🎂: It’s your day - enjoy it! On us.Annual Development Budget 🎓: We're serious about growth. You’ll get a dedicated £1,000 budget to spend on courses, conferences, coaching, or anything else that helps you level upPrivate Healthcare 🏥: Your health matters. Our comprehensive private health plan includes mental health support and fast access to care when you need itSnacks & Socials 🍸: From free drinks and snacks in the office to regular team socials, quizzes, and spontaneous celebrations, we believe fun fuels great teamwork.Work From Abroad ✈️: Want a change of scenery? You can work from anywhere in the world for up to a month each yearHybrid Working 🏠: We work from the office two days a week to stay connected and collaborate face-to-face, with flexibility the rest of the time