Kubrick

Number of Positions 1 City Mansion House Province Greater London Postal Code EC4 Country United Kingdom Job Type NA Job Description/ Summary Who we are: Kubrick is a next-generation technology consultancy, designed to accelerate delivery and build amazing teams. We deliver services across data, AI, and cloud and we're building the next generation of tech leaders. Since 2017, we have established a market leading position supporting our clients build their data and technology teams and deliver enduring solutions. About Kubrick Advanced: Kubrick Advanced is the delivery arm of Kubrick. It is a fast-growing team working across an array of practices tasked with delivering client projects and leading teams of Kubrick consultants. We are at the forefront of Kubrick's growth and instrumental in developing services and solutions for our clients and technology partners. Kubrick Advanced offers opportunities for technical and commercial exposure across a wide range of industries and technical use cases. It is a tight knit team of motivated technology professionals where ongoing learning and development are central to our ethos and internal culture. The Role We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our growing community specialising in Databricks. The successful applicant will have a strong background in training models to support a range of problem domains and be well versed in delivering and maintaining models in a production environment through applying MLOps best practice. The role will require familiarity with the relevant capabilities of Databricks and at least one of the major cloud service providers (AWS, Azure, or GCP). Advanced proficiency in Python and SQL is essential and an academic background ground in ML theory or Maths is preferred. As a Databricks Engineer working in our Kubrick Advanced team, you will play a key role in delivering high-quality data engineering projects to our clients, often in collaboration with Databricks' professional services team. In addition to hands on technical work, you will often play a leadership role in Kubrick's delivery squads, providing technical guidance and ensuring best practices are followed throughout the project lifecycle. You will work closely with clients and internal stakeholders to translate business requirements into robust technical solutions, ensuring projects are delivered on time, within scope, and aligned with client expectations. You will also support the growth and capability development of Kubrick Advanced, particularly with respect to our Databricks delivery capabilities. This will include assuming line management and/or technical leadership roles within the team. Key Responsibilities Lead technical delivery within Kubrick's squads deployed on client project engagements, ensuring that Kubrick is known for the quality of the technical solutions it provides. Work with Kubrick & client staff of other disciplines to understand and assess requirements, design solutions and inform delivery planning. Seek, build, and maintain effective client relationships contributing to Kubrick's commercial priorities and supporting our partnering approach to working with clients. Line managing developers within the team, supporting their professional and personal development. Promote a culture of engineering excellence within KA through curiosity, collaboration and contributions to the internal knowledge base. Participating in self directed or group learning and upskilling (gaining Kubrick funded certifications) to ensure your technical skills stay up to date and industry relevant. Required Skills & Experience Strong, recent experience in Machine Learning and/or Data Science, including deployment and maintenance of production grade ML models. Demonstrable practical experience of training and deploying ML models on Databricks (has ideally attained a Databricks ML Engineer certification). Ability to "pick the right tool for the job" when it comes to selecting the type of learning model and framework to apply to a given problem statement. Awareness of the cost implications of training, fine tuning, testing and serving ML models. AI/ML subject matter expertise coupled with strong communication skills. Degree or post doc qualification in AI/ML Theory, Maths, statistics or a related subject. Ability to influence key technical and business decision makers. Experience in both delivery/technical leadership and line management. Experience mentoring junior technical personnel. Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V) Working Pattern: Hybrid - expectation of 2 3 days per week in our office and/or working at client locations. Diversity Statement At Kubrick, we not only strive to bridge the skills gap in data and next generation technology, but we are also committed to playing a key role in improving diversity in the tech industry. To that effect, we welcome candidates from all backgrounds and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent. We know that potential applicants are sometimes put off if they don't meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we'd love to hear from you. We are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.