Specialist Solutions Architect - Data Science, ML, AI & GenAI

Req: FEQ127R163 Location: London Skills: Expertise in Data Science, Machine Learning, Artificial Intelligence, Large Language Models, Generative AI, and Big Data technologies like Spark As a Specialist Solutions Architect specializing in Machine Learning Engineering, you will serve as a pivotal technical resource for Databricks customers and the Field Engineering team. Collaborating closely with Solution Architects, you will assist customers in designing and implementing production-grade machine learning applications on the Databricks platform, ensuring alignment with the evolving Databricks Data Intelligence Platform roadmap. You will continually advance your technical acumen by leveraging cutting-edge technologies in Generative AI, LLMOps, and Machine Learning, while also enhancing your influence through mentorship and establishing yourself as an authority in ML. Your Impact: Design and architect production-ready ML workloads for customers on our unified platform, which includes comprehensive ML pipelines, optimization for training and inference, integration with cloud-native services, and MLOps practices. Deliver advanced technical support to Solution Engineers during the technical sales process, covering aspects from feature engineering and model training to tracking, serving, and monitoring—all within a single integrated platform, and participating actively in the Databricks ML Subject Matter Expert community. Work collaboratively with product and engineering teams to voice customer needs, set priorities, and shape the product development roadmap, facilitating the adoption of Databricks’ ML solutions. Enhance customer data science capabilities and apply best practices in MLOps to effectively deploy these capabilities across various domains. Act as a trusted technical advisor for customers developing Generative AI solutions, including Retrieval-Augmented Generation (RAG) architectures, querying structured data using natural language, content generation, and monitoring solutions. Qualifications: Minimum of 5 years of experience in a customer-facing technical role, with a focus on pre-sales or post-sales support across diverse industry sectors. 5+ years of hands-on machine learning experience in at least one of the following roles: ML Engineer: Developing production-grade cloud infrastructure (AWS/Azure/GCP) to support the deployment of machine learning applications, including drift monitoring. Data Scientist: Proficient in modern natural language processing techniques, including vector databases, fine-tuning of large language models (LLMs), and deploying LLMs using tools such as HuggingFace, Langchain, and OpenAI. Graduate degree in a relevant field is preferred.

CoreWeave is The Essential Cloud for AI™. Constructed by pioneers for pioneers, CoreWeave provides a robust platform of technology, tools, and teams that empower innovators to confidently build and scale AI solutions. Trusted by premier AI labs, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with extensive technical expertise to accelerate advancements and transform computing into capability. Established in 2017, CoreWeave transitioned to a publicly traded company (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com. We take pride in being a Living Wage accredited Employer. Your Role:The Customer Experience (CX) Organization at CoreWeave is committed to providing every client running AI workloads at scale with a flawless, dependable, and high-performance experience. This team supports the infrastructure that fuels the AI revolution—collaborating across data centers, hardware systems, and customer workloads to uphold the integrity of our cloud platform. The CX organization works closely with internal and customer engineering teams, offering valuable field insights and contributing to the CoreWeave product roadmap and development.Key Responsibilities:Act as the primary technical liaison for customers, cultivating strong technical relationships and ensuring their success with CoreWeave's cloud infrastructure solutions, particularly focusing on AI/ML workloads within high-performance computing (HPC) environments.Collaborate closely with customers to understand their needs, assisting them in establishing their Kubernetes environments, developing proofs of concept, onboarding, and optimizing workloads, leading innovation at every step.If you are passionate about innovation, excited by the potential of specialized computing, and eager to be part of a team shaping the future, CoreWeave is the ideal place for you. Join us on this adventure!

About The Dot CollectiveWe are an innovative consultancy with a presence across the UK and EU, dedicated to engineering excellence and empowering individuals to create meaningful impact.Our team utilizes cutting-edge technology stacks and implements agile scrum methodologies for all projects.About YouAre you enthusiastic about data and its transformative potential? Do you thrive on making significant contributions in a short timeframe? If so, we may be the perfect fit for you.A bit about the role:In the past 18 months, The Dot Collective has successfully launched a specialized Data Architecture practice, establishing a strong foundation for innovative, scalable data solutions. This practice is integral to our mission of delivering high-quality, data-driven results for clients in various sectors.As we expand, we are looking for a Data Solution Architect to play a critical role in designing and implementing cloud-native data and AI platforms that truly make a difference.

Join our dynamic team at examplecorpsandbox, where innovation meets excellence in the realm of artificial intelligence and machine learning.As a Senior AI-ML Engineer Specialist, you will leverage your expertise in statistical analysis, predictive modeling, and business intelligence to transform vast datasets into actionable insights. Your role will involve collating, modeling, interpreting, and analyzing data to uncover trends and identify new business opportunities. You will collaborate across various business units, utilizing cloud technologies to enhance our analytical capabilities. Key responsibilities include: Utilizing advanced statistical and mathematical methodologies to manage and manipulate high-volume data from diverse sources, driving business growth initiatives for Nasdaq and our clients.Staying updated with the latest technologies and best practices in analytics to optimize our internal processes and tools.Leading and mentoring junior team members in data visualization and modeling techniques, fostering a collaborative learning environment.Conducting scalable data research in cloud environments, completing business analysis and testing deployment experiments.Collaborating with product sponsors to align on business requirements and propose innovative solutions: Utilize domain expertise to generate new product ideas.Rapidly execute experiments to validate these ideas.Document research findings and recommend strategic actions to technology and senior management.Partnering with business units to brainstorm and provide insights on new opportunities, offering constructive feedback based on analytic results.Taking ownership of projects and initiatives while mentoring junior engineers in best practices.Contributing thought leadership by authoring white papers for industry review.

Chief Solution Architect - Pre-sales, AI & Data TransformationReporting to: Managing Director, UK&IAs a leading partner of Google Cloud in AI and Data Transformation, datatonic empowers organizations with strategic consulting and technical expertise to achieve innovative data solutions in the cloud. We collaborate with our clients to explore the full potential of advanced technologies by leveraging our deep knowledge in machine learning, data engineering, and analytics. By utilizing the Google Cloud Platform, we enable businesses to future-proof their strategies, enhance consumer insights, gain competitive advantages, and achieve significant operational efficiencies through transformative data programs.The RoleWe are in search of a Chief Solution Architect as the inaugural member of our pre-sales team to help define, qualify, and secure our key engagements in data, AI, and Agentic transformations. This pivotal role bridges data & AI consulting, technical advisory, and industry storytelling. You will collaborate closely with the Account Manager and technical/engineering teams to expand our most strategic accounts in sectors such as Telecommunications, Financial Services, Media, and Agencies.Your efforts will guide our clients through a transformative journey, expanding their vision of what is achievable with data and AI, leading to extensive engagements with direct connections to the C-suite. You will conduct initial discovery sessions, outline solutions, shape Statements of Work (SOWs), and articulate datatonic’s offerings in the market.While this role does not require people management skills, you must excel in engaging with technical and business stakeholders, quickly establishing trust and confidence, and be adept at presenting to C-suite and architectural audiences.What You’ll DoPre-Sales LeadershipLead early discovery efforts alongside the Sales team: identify business challenges, qualify opportunities, and convert ambiguity into structured technical narratives.Employ an insight-driven approach to integrate industry best practices in data and AI, guiding clients through their strategic transformations.Design data, ML, and GenAI solutions utilizing Google Cloud.Oversee scoping, estimation, and drafting of Statements of Work and RFP responses in collaboration with Sales and Delivery teams.Assist in RFP responses, solution evaluations, and deal strategies for opportunities exceeding £1m.Strategic AdvisoryFacilitate client workshops to foster understanding and alignment around strategic data initiatives.

Join CoreWeave as a Principal Solutions Architect and lead the charge in translating visionary AI ambitions into actionable deployment strategies within the automotive and advanced manufacturing sectors.The Physical AI Field Engineering team collaborates with some of the world's leading engineering organizations to architect and realize AI-driven solutions for complex physics challenges. By leveraging industry expertise, machine learning innovations, and large-scale computing infrastructure, you will help enterprises transform their ambitious AI goals into practical, scalable deployments.As CoreWeave enhances its capabilities in AI infrastructure and applied machine learning, your role will be pivotal in identifying transformative engineering problems and designing viable technical pathways to resolve them.

About Neo4j Neo4j leads in graph intelligence, helping organizations turn complex data into practical insights for modern applications and AI systems. The Neo4j platform delivers enterprise-grade knowledge graphs with strong governance and explainability, supporting a wide range of environments and data sources. Trusted by 84 of the Fortune 100, Neo4j is backed by a large global graph community. Designed for seamless cloud integration, Neo4j enables organizations to build dynamic, personalized, and autonomous AI systems. These solutions deliver rapid results and deeper context, shaping both customer and employee experiences. Our Vision Neo4j’s mission is to help the world make sense of data. As connections between people, businesses, and knowledge grow, Neo4j technology drives innovation by revealing and understanding complex data relationships. As pioneers in graph databases, Neo4j helps organizations use their data to innovate and stay competitive. Role Overview: Senior AI Solutions Architect The Senior AI Solutions Architect at Neo4j plays a key role in designing, developing, and deploying solutions that combine graph databases and AI. This position involves direct engagement with strategic customers, serving as a trusted advisor who translates complex data challenges into business value. Responsibilities include collaborating with customer executives and technical leaders to understand their needs, then applying expertise in graph technologies, large language models (LLMs), and AI orchestration frameworks to build tailored, production-ready AI applications using Neo4j Knowledge Graphs. This is a hands-on consulting role, working closely with some of Neo4j’s most important customers on projects that reshape their operations. The role also involves partnering with Neo4j’s cloud collaborators to deliver joint consulting services, providing technical guidance and sharing best practices. Location London

Are you ready to shape the future of data solutions? Join Databricks as a Data Platform Solutions Architect within our Professional Services team. In this role, you will leverage your expertise to help clients harness the power of data, driving innovation and efficiency in their businesses.As a key contributor, you will collaborate with cross-functional teams to design and implement robust data platforms that meet diverse business needs. Your technical acumen and strategic insight will play a vital role in delivering exceptional service and ensuring client satisfaction.

Req ID: FEQ326R178 Recruiter: Dina Hussain Location: London, UK As a Lead Solutions Architect at Databricks, you will become the key domain authority for the Retail and Consumer Packaged Goods (CPG) sectors across the UK and Ireland. Collaborating closely with our Industry Leads, you will establish a compelling vision, foster executive relationships with clients and partners, and spearhead cross-functional initiatives across Databricks in Northern Europe. Your enthusiasm for how Data and AI can revolutionize the CPG industry will be paramount, along with your ability to communicate insights effectively to diverse audiences. In your role as a Trusted Technology Leader, you will impart technological guidance and facilitate interactions between our customers and Databricks resources, driving new opportunities, demand generation, and digital transformation. You will map industry scenarios to Databricks solutions, ensuring our products are recognized as industry-leading. As a trusted advisor to CxO-level decision-makers, you will add significant value, demonstrating how our comprehensive solutions surpass competitive offerings. At Databricks, we pride ourselves on our core values that shape every aspect of our work. We cultivate a proactive, customer-centric culture that empowers us to deliver a unified platform, making data science and analytics accessible to all. Our mission is to equip customers with the insights needed to advance their businesses. You will play a critical role in this journey, leveraging your technical expertise to showcase how our Lakehouse Platform can address the complex challenges faced by our clients. Join our innovative, collaborative team dedicated to transforming data utilization and creating a better world! Reporting directly to the Manager of Field Engineering.

CoreWeave is recognized as The Essential Cloud for AI™, designed for innovators by innovators. Our platform provides cutting-edge technology, tools, and expert teams that empower pioneers to confidently build and scale AI solutions. With the trust of leading AI laboratories, startups, and global enterprises, CoreWeave merges exceptional infrastructure performance with profound technical expertise to drive breakthroughs and transform compute capabilities. Established in 2017, CoreWeave became a publicly traded entity (Nasdaq: CRWV) in March 2025. Discover more at www.coreweave.com.As a proud Living Wage accredited employer, we prioritize fair compensation for our team.Your Responsibilities:Lead the effort as a Lead Solutions Architect, serving as a technical expert to guide enterprise clients in exploring AI-driven solutions for engineering challenges.Collaborate with sales teams and Deployment Strategists to meticulously understand customer needs and design tailored technical solutions that showcase the value of AI in intricate engineering workflows.Oversee proof-of-value initiatives, prototype AI workflows, and validate technical feasibility using client data.Ensure that proposed solutions are technically sound, provide quantifiable benefits, and are primed for seamless transition to implementation teams.

Req ID: CSQ127R149Location: Remote in the United Kingdom, with occasional travel to the London office and client sites.We are excited to invite applications for several positions within our Professional Services team. Depending on your experience and expertise, this role may be categorized as Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect.This position is often referred to as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The finalized title will be aligned with your experience, technical proficiency, and customer-facing role.As a Big Data Solutions Architect (Internal Title - Resident Solutions Architect) within our Professional Services team, you will engage with clients on short to medium-term projects to tackle their big data challenges utilizing the Databricks platform. Your role will encompass data engineering, data science, and cloud technology initiatives requiring integration with client systems, training, and various technical engagements to maximize the value derived from their data. RSAs are billable professionals who excel at delivering projects as per specifications while ensuring outstanding customer service. You will report to the regional Manager/Lead.The impact you will have:Engage in a variety of impactful technical projects for customers, which may involve designing and constructing reference architectures, developing how-to guides, and turning customer use cases into production.Collaborate with engagement managers to outline a variety of professional services tasks with input from the customer.Assist strategic customers in executing transformational big data projects and third-party migrations, including comprehensive design, build, and deployment of leading-edge big data and AI applications.Consult on architecture and design; initiate or implement customer projects that lead to successful understanding, evaluation, and adoption of Databricks.Provide elevated support for customer operational issues.Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to ensure that the technical components of the engagement meet customer requirements.Work with Engineering and Databricks Customer Support to deliver product and implementation feedback and facilitate swift resolutions for engagement-specific product and support matters.

About Unity AdvisoryUnity Advisory is a pioneering professional services firm tailored for an AI-driven landscape. Our unique approach combines advanced technology and artificial intelligence to enhance every aspect of our work, enabling a streamlined, client-focused experience.By operating without an audit practice, we eliminate traditional conflicts and legacy barriers, allowing us to act swiftly, foster transparent collaboration, and concentrate solely on delivering exceptional value to our clients. Our flat organizational structure and cooperative culture empower talented individuals to produce outstanding results.We leverage extensive advisory expertise alongside cutting-edge data, AI, and commercial insights to assist clients in navigating complex challenges with agility and clarity. At Unity, we are redefining the standard for expert advisory services—one innovative engagement at a time.The RoleWe are seeking a dynamic, commercially savvy Senior Solution Architect to join our team at Unity Advisory. This role will encompass both client-facing projects and internal platform initiatives, focusing on the design and delivery of scalable, AI-enhanced, data-driven solutions.As a senior, hands-on architecture expert, you will be responsible for translating intricate business requirements into comprehensive solution designs that encompass enterprise systems, data platforms, AI capabilities, integrations, and workflows.A central aspect of this position involves crafting architectures that seamlessly integrate modern cloud platforms, enterprise applications (ERP/EPM/CRM), and emerging GenAI capabilities, ensuring that the solutions are practical, secure, cost-efficient, and aligned with measurable business outcomes.This role is positioned at the nexus of enterprise architecture, data and AI systems, and business transformation, offering a significant opportunity to influence solution standards, support proposition development, and shape how Unity delivers technology-enabled advisory services at scale.What You’ll DoIn our fast-paced, high-trust environment, you will spearhead the design of solutions that connect business strategy with robust, scalable technology delivery.End-to-End Solution ArchitectureLead the design of end-to-end solution architectures across client engagements and internal initiatives, covering applications, data, integrations, workflows, and AI components.Translate business needs into effective architectural solutions that drive success.

REQ ID: FEQ127R254 Location: Hybrid – London Join our dynamic Professional Services team at Databricks, where we are actively seeking talented individuals for various roles, including Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. This position is ideal for those with a strong background in big data solutions, analytics architecture, or technical consulting. As a Big Data Solutions Architect (Internally known as Resident Solutions Architect), you will collaborate with clients to address their big data challenges using the Databricks platform. This role involves overseeing data engineering, data science, and cloud technology projects, ensuring seamless integration with client systems, delivering training, and executing technical tasks that maximize the value derived from their data. Our RSAs are billable professionals who excel in project execution while providing exceptional customer service. You will report directly to the regional Manager/Lead. Your Impact: Lead impactful technical projects, including the design and construction of reference architectures, and the productionalization of customer use cases. Collaborate with engagement managers to define the scope of diverse professional services based on client input. Guide strategic clients through the implementation of transformative big data projects, including third-party migrations, from initial design to deployment of leading big data and AI applications. Consult on architectural design and assist in bootstrapping or implementing customer projects, fostering a solid understanding and adoption of Databricks solutions. Provide elevated support for customer operational challenges. Work closely with the Databricks technical team, Project Manager, Architect, and client teams to ensure all technical components meet customer requirements. Engage with Engineering and Databricks Customer Support to offer product feedback and facilitate rapid resolution of engagement-specific issues. What We Seek: Extensive experience in data engineering, data platforms, and analytics. Proficient in coding with Python or Scala. Familiarity with at least two major cloud ecosystems (AWS, Azure, GCP) with deep expertise in one. Strong communication skills and a passion for customer success.

Role overview Wise seeks a Senior AI Data Scientist in London to focus on Anti-Money Laundering (AML) solutions. The position involves building analytics and machine learning models aimed at identifying and preventing fraudulent transactions. What you will do Design and refine machine learning models that enhance AML initiatives Use data analytics to uncover patterns associated with financial crime Work closely with compliance, engineering, and operations teams to deliver AI-driven tools Contribute to process improvements that reinforce Wise’s compliance and daily operations Collaboration This role is part of the data science team and involves working alongside colleagues from various backgrounds. The goal is to keep Wise’s AML solutions effective and responsive to new challenges.

Join our innovative team at Databricks as a Lead Solutions Architect specializing in AI and BI. In this pivotal role, you will leverage your expertise in artificial intelligence and business intelligence to design and implement cutting-edge solutions that drive business value. You will collaborate closely with cross-functional teams, guiding technical strategies, and ensuring the successful adoption of our platforms.Your responsibilities will include engaging with stakeholders to identify business needs, architecting scalable solutions, and mentoring junior team members. If you are passionate about AI/BI technologies and enjoy working in a dynamic environment, we want to hear from you!

Join Databricks as a Data Platform Solutions Architect in our professional services team, focusing on emerging enterprises and DNB. In this pivotal role, you will collaborate with clients to design and implement innovative data solutions that drive business transformation. Your expertise will empower organizations to leverage the full potential of the Databricks platform, enhancing their data analytics capabilities.

Join Devoteam as a Lead Consultant specializing in Google Cloud Platform (GCP) and Data & AI/ML pre-sales architecture. In this pivotal role, you will leverage your expertise to drive innovative solutions that empower our clients to harness the power of data and artificial intelligence.Your responsibilities will include collaborating with sales teams to identify client needs, designing tailored solutions, and presenting compelling proposals that highlight our capabilities in GCP and AI/ML technologies.

About GoCardlessAt GoCardless, we are pioneers in global bank payment solutions. More than 100,000 businesses, ranging from innovative start-ups to well-established brands, trust us to facilitate seamless payment collections and transfers through direct debit, real-time payments, and open banking.With an impressive annual processing volume of over US$130bn across 30+ countries, we empower our clients to manage both recurring and one-off payments effortlessly, eliminating the hassle of chasing payments and costly fees. Our advanced AI-driven solutions enhance payment success rates and combat fraud effectively. By leveraging open banking connections with over 2,500 banks, we enable our customers to make faster and more informed financial decisions.Headquartered in the UK, with offices in London and Leeds, we also have a presence in Australia, France, Ireland, Latvia, Portugal, and the United States.At GoCardless, we prioritize support and inclusivity. Our hiring process is designed to be accessible to all candidates. If you require any adjustments or assistance, please contact your Talent Partner — we are here to support you!We believe that potential outweighs perfection; if you are excited about this opportunity, we encourage you to apply!The RoleData is integral to our mission. We utilize bank account data to create high-value, intelligent payment solutions that enhance payment success and prevent fraud.As the Data Science Manager in our Payment Intelligence team, you will collaborate with Software Engineers, Product Managers, and Designers to convert groundbreaking ideas into reality. You will oversee the entire lifecycle of our algorithms, from initial conception to production-ready code that fuels our global payment network.At GoCardless, our tech stack revolves around Google Cloud Platform and Vertex AI, fostering a high-performance environment for innovation. Our Data Scientists work at the intersection of Python, SQL, and BigQuery to develop and deploy scalable, high-performance models.

Join Benchling as a Solution Consultant for IT and Data Science, where you'll leverage your expertise to drive innovative solutions and optimize our offerings. You will work closely with clients, translating their needs into actionable insights and strategies. Your role will involve collaborating with cross-functional teams to enhance product capabilities and ensure client satisfaction.

Role overview Benchling seeks a Technical Solution Architect based in London to shape product offerings and guide clients on technical matters. The position centers on designing and implementing solutions that address customer needs. Collaboration with teams across the company is key, as is supporting the delivery of successful projects. What you will do Design and implement solutions that fit specific client requirements Work closely with teams from different functions throughout each project Help ensure projects are delivered on time and meet quality expectations Share technical knowledge with both internal colleagues and clients Present complex technical ideas in clear, accessible language to various stakeholders Requirements Strong understanding of cloud technologies Experience with software development processes Practical background in system integration Skill in explaining technical concepts to both technical and non-technical audiences