AI Research Engineer - Post-Training

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.

Winton

ABOUT WINTON Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. ----------------------------------------------------------------------------------------------------------------------------------   We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting. You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI-assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery. You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working primarily in the Client Operations space but also directly with business functions across the firm to understand requirements, design and implement solutions. As well as project work, there are regular allocated windows of opportunity for small enhancements for both the business and technology. Your responsibilities will include:  •    Design, evolve and maintain distributed, event-driven systems with high reliability, scalability and observability •    Contribute to technical strategy and long-term platform direction •    Write high-quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers •    Continuously improve existing services, libraries and shared components •    Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure-handling strategies •    Work closely with product and business stakeholders to translate high-level problems into thoughtful technical solutions •    Collaborate with team through active contribution in code reviews, knowledge-sharing and design discussions •    Build domain knowledge in business and technology areas •    Evaluate new technologies pragmatically •    Contribute to CI/CD pipelines, tooling and infrastructure-as-code What we are looking for: •    A bachelor's or master's degree in a STEM subject •    5+ years of full-time professional software development experience •    Proven experience building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred) •    Strong computer science fundamentals •    Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice •    Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow •    Keen interest in keeping aware of latest technologies and a measured approach for adopting them •    Comfortable problem solving across multiple technologies and business domains •    Collaborative nature and ability to work in a team e.g. partnering with business users and technologists •    Ability to have constructive technical discussions What would be useful: •    An interest or experience with Angular and Typescript •    Familiarity with performance-tuning PostgreSQL and/or MSSQL •    Experience in financial services Technologies we use:  •    Web: Angular, TypeScript •    Server-side: C# •    Data: MSSQL, PostgreSQL •    Cloud: AWS •    Deployment: Docker, Kubernetes   ---------------------------------------------------------------------------------------------------------------------------------- EQUAL OPPORTUNITY WORKPLACE We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

32Co

01Health is at an inflection point. The platform is built, revenue is accelerating, and we are moving from a single-specialty company to a multi-vertical specialist healthcare platform, with AI as embedded clinical infrastructure. Our vision is to help all clinicians deliver the latest innovations in healthcare, improving the standard of care for millions of people. Backed by the investors behind Revolut, CityMapper, and Depop, we're scaling fast across the UK and beyond, and are looking for exceptional people to join us on our mission.  What is happening at 01Health right now: Balderton-backed Series A company 90% of UK patients can reach an 01Health–affiliated clinic within 30 minutes All growth has been inbound, ~50% word of mouth 4.98★ customer rating from the dentists who use us Aerox (sleep) ready for national rollout to top-performing 01 Partners, with a 300+ clinic waitlist US expansion live New verticals being tested and prototyped We are not searching for product–market fit anymore. We are ready to dominate the market, and to do it across multiple medical specialties, transforming lives in the process.  The role: We are seeking a Forward Deployed AI Engineer to lead the end-to-end design, development, and scaling of critical product verticals across our platform. You will identify, build, and ship AI-driven features that meaningfully enhance clinician and patient experiences while driving measurable business outcomes. This role sits at the intersection of clinical needs, technical feasibility, and commercial strategy. You will spend most of your time in the codebase, writing and maintaining the technical solutions to the problems you identify, often embedded directly with clinicians and customers. What you will do: Engineering & Delivery Design, build, and ship AI-powered features that improve clinical decision-making, patient outcomes, and operational efficiency. Own the end-to-end feature lifecycle: prototype, production code, deployment, and post-launch optimisation, ensuring quality, performance, and measurable impact. Work directly with clinicians and customers to turn real-world problems into working software, iterating quickly on live feedback. Collaborate with other engineers to keep solutions technically sound, scalable, and maintainable. Applied AI Evaluate emerging AI technologies, prototype rapidly, and define implementation approaches with a bias toward shipping. Translate ambiguous opportunities into concrete technical requirements and working systems. Data-Driven Decision Making Creating and maintaining key feature evals to monitor and improve products you have built. Use quantitative and qualitative insights, including product analytics, user feedback, and clinical research, to prioritise what to build and validate hypotheses. Define and instrument key metrics for feature adoption, effectiveness, and business impact, continuously iterating for optimal outcomes. Customer & Market Insight Conduct hands-on user research to identify unmet needs where engineering can deliver significant value. Benchmark against competitors and emerging AI trends to keep the product innovative. Commercial & Business Impact Connect what you build to strategic outcomes such as user retention, operational efficiency, and revenue growth. Serve as the technical owner for your verticals, communicating progress and impact to stakeholders across the business. What we are looking for: Strong engineering ability and a drive to build; you'd rather ship a working prototype than write a spec about one. Naturally curious about AI, actively seeking opportunities to enhance products and internal workflows through emerging technologies. Comfortable owning features end-to-end, from writing production code to deploying and iterating in front of real users. Strong commercial awareness and an interest in connecting AI opportunities to measurable business outcomes. User-focused and insight-driven, leveraging qualitative and quantitative inputs to inform thoughtful technical decisions. Startup mindset: proactive, adaptable, and energized by working in fast-moving, evolving environments. Location: Able to commute to our London office on Mondays, Wednesdays, and Fridays. Why join us: Real impact, every day - your work directly changes patient outcomes. You'll feel it, and so will the people whose care you're improving. 25 days holiday + your birthday off - because no one should work on their birthday! Outsized leverage and full ownership - real authority today, lasting impact tomorrow; what you build now shapes how this company operates at every stage after. Grow fast - backed by top VCs and built by the best; you'll be learning from some of the sharpest minds in health-tech every single day. Vitality Health cover - private medical insurance, because we take care of the people who take care of the business. Team Perks - enjoy regular team lunches, quarterly socials, and an annual company retreat. Hybrid working - we all come together three days a week, but the rest of the time, enjoy the flexibility to work from home or our Hoxton office.