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gravity9 is a boutique IT consulting company headquartered in the UK with offices in the US, Canada, Poland, and Colombia. Our team has deep experience in engineering, experience design and product management. We enjoy a challenge and pride ourselves on working with our clients on their most complex problems, finding elegant and flexible solutions that help them transform their businesses.Role DescriptionWe are looking for a smart, enthusiastic AI/ML Engineer or Data Scientist who is passionate about leveraging artificial intelligence and machine learning to solve complex problems. As an integral member of our team, you'll be responsible for conceptualizing, developing, and deploying innovative AI/ML solutions. This role offers the opportunity to work on diverse projects, providing bespoke solutions to our clients.We believe small, multi-disciplinary teams are most effective in delivering complex change. As such, we are looking for someone with a collaborative mindset who is happy to be flexible and take on different responsibilities over the lifetime of our projects.As an AI/ML Engineer, you will be an experienced developer with a strong interest in state-of-the-art AI and Machine Learning technologies. You’ll be primarily “hands-on” and actively providing technical expertise across a broad range of AI/ML disciplines, developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solutions.Responsibilities:Engage with clients to understand their unique challenges and deliver tailored AI/ML solutions.Design, implement, and maintain scalable, efficient, and robust end-to-end ML/AI systems.Manage the entire ML/AI development lifecycle, including planning, pipeline management, and deployment.Provide technical support to engineering team members, promoting best practices in ML engineering.Collaborate with AI Practice Lead to inform and shape the company's AI strategic direction.Role requirements - technical skills and experienceThis role will suit a highly capable AI/ML Engineer with at least 5 years of experience. Skills and experience should include:Extensive experience in AI/ML development, particularly in NLP, and machine learning domains.Hands-on experience in developing AI applications using LLMs, RAG (Retrieval-Augmented Generation), and particularly agentic AI solutions is essentialProficiency in designing and maintaining AI/ML solutions that are cost-effective, accurate, and scalable.Exceptional problem-solving skills and the ability to think analytically.Strong communication and interpersonal skills, with the aptitude to navigate complex project requirements with clients and stakeholders.A growth mindset with a commitment to personal and professional development.Excellent command/highly proficient in spoken and written English (working directly with UK/US based clients).Essential skills:Advanced knowledge of Python specifically for machine learning and data science.Experience with LLM frameworks such as LangChain, LlamaIndex, Semantic Kernel, or AutoGen.Proficiency in cloud services related to ML/AI (e.g., Azure, OpenAI, Hugging Face, AWS, GCP).Nice to have:Certification as an Azure AI Engineer Associate or equivalent credentials is highly advantageous.AWS Professional Certifications.Experience with ML/DL frameworks like TensorFlow, Keras, PyTorch, and scikit-learn.Experience with C# or Java, node.js.Knowledge in MLOps, encompassing the ML applications development lifecycle and toolsets.Robust software engineering background, with a track record of leading agile teams and expedited delivery of complex projects.Leadership experience.Role requirements – soft skillsKey attributes and behaviours to succeed in this role will be:Customer Focus – passion for understanding the problem we are trying to solve with software and to advocate solutions to your client.Delivery focus - strong analysis and problem-solving skills. Ability to evaluate, design and implement effective solutions. Flexibility to adapt skills to a spectrum of client engagements, use cases and modes of change delivery.Exemplary standards of personal integrity and respect for others – professional approach to all aspects of client engagement and collaborative team working, able to quickly build relationships based on trust and transparency. Strong presentation and written and verbal communication are essential given the client facing nature of the role.Value driven - Creative thinking, with aptitude for innovation and strong desire to exceed client expectations.Energy – positive attitude and determination to learn and succeed.The salary details for the role will be communicated ahead of the first recruitment meeting.
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