Graduate Analytics Engineer

Databricks

ReqID: FEQ327R328 Recruiter: Kanwal Matharu Location:  London, United Kingdom - Hybrid Skills: Data Science, Machine Learning, AI, LLM, GenAI As a Senior Specialist Solutions Engineer (SSE), ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production-grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert. You will be reporting to the Manager, Field Engineering (Specialist Team) The impact you will have: * Lead the architectural design of production-grade ML workloads on our unified platform, encompassing the entire MLOps lifecycle from end-to-end pipeline creation and optimization (training/inference) to seamless integration with cloud-native services. * Provide advanced technical support to the Solution Architects during the technical sales cycle by building MVPs, leading deep-dive technical sessions, and strategically aligning ML/data science solutions to complex customer business challenges using relevant real-world examples. * Serve as the trusted technical advisor for customers developing GenAI solutions, specializing in the design and implementation of RAG architectures on enterprise knowledge bases, enabling natural language querying of structured data, and establishing content generation and monitoring frameworks. * Drive community growth and platform adoption through thought leadership activities, including the creation of technical tutorials and training materials, as well as leading hackathons and presenting at industry conferences. What we look for: * Experienced, technical, customer-facing, and with a background in Data Science / Machine Learning, and Data Engineering.  Looking to learn and develop in a customer-facing technical role as a subject matter expert (SME) in a pre-sales environment. * Pre-sales or post-sales experience working with external clients across a variety of industry markets Data Science/ML Skills * Hands-on industry ML experience in at least one of the following: * ML Engineer: Develop production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring * Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine-tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI * Hands-on experience working with Distributed Spark based systems. * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving our values through ML * [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role * [Preferred] Experience working with Apache Spark™ to process large-scale distributed datasets * Can meet expectations for technical training and role-specific outcomes within 3 months of hire * Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Abound

About Abound We’re redefining consumer lending in the UK, and beyond. Using advanced AI and Open Banking data, we make fair, affordable personal finance available to more people. While traditional lenders rely almost entirely on credit scores, we look at the full financial picture - how much you spend, and what you can afford to repay to build a deeper, more accurate understanding of each customer's unique financial situation. And we've shown it works at scale. We’ve issued over £1.3bn in loans directly to customers while delivering market-leading credit performance - for every 10 defaults the industry expects, we see only 3. We also reached profitability just 2.5 years after launch. Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we’re recognised as one of Europe’s fastest-growing fintechs (Sifted, CNBC). Now, we’re expanding into new markets and product lines - and we’re looking for ambitious people who want to learn fast, take ownership, and grow with us. Your grad Scheme( Data Science Route) * Our Data Science team works across our entire business, from new products, to core credit decisioning, to user acquisition * You'll get exposure to a wide range of projects, such as: * AI & Machine Learning Development: work directly on our proprietary loan decision platform, Render, contributing to the transformer models that allow us to outperform the market in loan performance * Open Banking Integrations and Classification: enhancing how we transform noisy, real-time transaction data into automated lending decisions * Product Development: participate in rapid feature development cycles, with direct impact on customer experience and business outcomes * Credit Risk Analytics: analyse how our loan book performs over time and how we fund it at scale, working across portfolio monitoring, impairment measurement, and the risk analytics behind our funding. * Bi-annual technical reviews and career progression planning * Cross-functional exposure to risk, compliance, underwriting and product teams Who you are * You believe that learning is the most important thing to optimise for as you start your career, and want to learn by doing at the fastest growing fintech in London * You like getting your hands dirty and using tech to solving complex problems * You also want to learn about the commercial impact of any technical changes you make * A recent (or soon-to-be) graduate with a degree in a technical or quantitative field (e.g. Data Science, Statistics, Mathematics, Engineering, Economics) * Programming: Proficiency in Python or similar languages * Genuine interest in financial technology and how AI can solve real-world problems * Strong communication skills and ability to work in cross-functional teams Why join us * Meaningful, high-impact work from day one * Learn from experienced data scientists, engineers, and product leaders in a flat, fast-paced team * A chance to shape the future of credit using the latest tools in data and machine learning * A collaborative, diverse, flexible culture that values growth, ownership, and doing the right thing for our customers * Position yourself at the forefront of the financial services revolution * Exceptional promotion opportunities from rapid company growth What we offer * Hybrid with 3 days a week in the office * 25 days’ holiday a year, plus 8 bank holidays * 2 paid volunteering days per year * One month paid sabbatical after 4 years * Free gym membership * Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering The Interview Process: * Take Home Test( 20 mins) * Remote (video call) Technical Interview(1 hour) * In-person interview day where you'll meet 3-4 people across Data Science and Senior Leadership(1.5 hours) Scheme details: * Our graduate scheme runs for one year, with the opportunity to convert to a permanent role based on performance. * Start date: Late September – Early October 2026 (TBC) Please note: we are unable to offer visa sponsorship for this role.

IMC

As a Graduate Machine Learning Researcher at IMC, your work will directly impact our global trading strategies. You will apply advanced machine learning, statistical, and computational techniques to solve complex, real-world trading problems, contributing to trading strategies across global equities, futures, and options markets. Machine Learning Researchers work closely with Traders and Developers in an environment where problem solving, innovation and teamwork are recognized and rewarded. Your Core Responsibilities: * Design, implement, and evaluate machine learning models for trading applications, with successful research deployed into production * Apply rigorous statistical techniques to measure performance, control overfitting, and understand model risk and interpretability * Investigate novel machine learning approaches through rigorous experimentation and analysis in real trading environments * Communicate research progress and outcomes effectively, ensuring knowledge transfer within the team and across departments * Collaborate closely with traders, researchers, and engineers to translate research into production trading systems Your Skills and Experience: * Currently in your final year of study, graduating in 2027 * A minimum of an MSc (PhD preferred) in Machine Learning, Statistics, Deep Learning, Probabilistic Programming, or a related quantitative field * Strong foundations in statistics and machine learning, with a demonstrated research track record in ML, deep learning, or another quantitative field * Proficiency in fundamental ML frameworks like Pytorch and experience in Python * Solid understanding of statistics * Desirable: publications in respected journals covering deep learning or time-series modeling * No prior finance knowledge or experience required * Ability to commence full-time employment in February or August 2027 You may submit one application per role each year. We strongly encourage you to focus on applying to a single role that best matches your skills and interests. Though you may apply to multiple roles, please note that each application will be evaluated based on the specific criteria established for that particular role. If you have already applied for this position during the current recruitment season and were not selected, you may reapply when the next recruitment season begins in August 2027. We encourage you to focus on enhancing your skillset before reapplying. Please note that, due to current regulations with the Immigratie en Naturalisatiedienst (IND), IMC is unable to obtain immigration sponsorship for candidates who currently have citizenship from Russia, Belarus or Iran, and attend university in one of the aforementioned countries. We greatly appreciate your understanding and hope to consider you for future opportunities. If you have citizenship from Ukraine, you will need to confirm that you currently hold a biometric passport so that IMC can obtain the correct immigration sponsorship for you. Please confirm by emailing CampusEU@imc.com. If you are currently residing or attending university outside of Russia, Belarus, or Iran, and have existing work authorisation in the Netherlands or are eligible to work without sponsorship, we encourage you to apply and inform our campus recruitment team of your situation: CampusEU@imc.com. About Us IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.