Elliptic

Help shape the future of blockchain intelligence at Elliptic At Elliptic, we're building the intelligence layer for the future of finance. Our teams transform complex blockchain and off chain data into actionable insight, empowering financial institutions, regulators, and businesses to innovate with confidence. Guided by our mission to make digital asset intelligence seamlessly accessible, we design and scale the data streams and services that power Elliptic's analytics and decisioning products. As a Data Engineer, you'll design and optimise systems that process large scale blockchain and off chain datasets, enabling organisations worldwide to make trusted, data driven decisions. Whether you join one of our platform focused teams or those that work directly on product data, you'll tackle challenges spanning batch and streaming processing, building high quality, scalable solutions for a rapidly evolving ecosystem. What you will do Build and maintain distributed data pipelines using Scala, Spark, and cloud technologies Collaborate with engineers, data scientists, and product teams to deliver reliable, scalable data systems Design and optimise data ingestion and transformation workflows across blockchain and traditional datasets Ensure accuracy, scalability, and efficiency in systems processing hundreds of millions of daily data points Evaluate design options and trade offs across performance, scalability, reliability, and cost Contribute to the full lifecycle of data platform development from design and deployment to continuous improvement Strengthen pipeline reliability, observability, and automation through code and tooling improvements Grow your influence and take on greater responsibility as you deepen your understanding of our distributed systems and platform architecture Tech environment Scala Spark Databricks AWS Airflow Kubernetes Terraform Functional Programming No Scala experience yet? If you are an experienced data engineer eager to learn, we will support you. You will fit right in if you Enjoy writing clean, well tested, and efficient code Use data and experimentation to make informed decisions Thrive in a collaborative, open culture where sharing and feedback are part of daily work Are curious about new technologies, including how AI and automation can enhance data engineering Appreciate an environment that values autonomy, mentoring, and personal development Want to take advantage of AI driven productivity tools as part of your day to day engineering What we are looking for We welcome engineers at different stages of their careers and will match your level to your experience so you can keep growing and make an impact. Experience delivering and maintaining distributed data pipelines Practical knowledge of Spark, Databricks, or similar big data frameworks Familiarity with cloud infrastructure (AWS, Azure, or GCP) Understanding of data-architecture trade offs, such as scalability, resilience, and observability Interest or experience in functional programming Bonus points for: Experience in streaming processing concepts like delivery semantics, ordering or partitioning Hands on work with Infrastructure as Code (Terraform or CloudFormation) Knowledge of container orchestration (Docker, Kubernetes, Helm) An interest in blockchain and cryptocurrency technology, or a desire to learn Experience applying AI or automation within deployed services Don't tick all the boxes? We're still interested to hear from you if you think you'd be a good fit. Engineering culture Our engineering culture is grounded in openness, autonomy, and continuous improvement. We believe great ideas can come from anywhere, so our engineers are encouraged to experiment, ask questions, and learn quickly. We use functional programming for clarity and reliability, and we rely on peer reviews, data driven decisions, and open discussions. Collaboration is central: you will work alongside diverse teams who share knowledge freely. Whether you are designing a new data pipeline or improving system performance, you will find an environment that values curiosity, technical excellence, and shared impact over hierarchy. Be part of the team If you are excited about building the data backbone that powers Elliptic's data platform and helps organisations across the world act faster and see further, we would love to hear from you. At Elliptic, we believe the best ideas come from diverse teams. We encourage applications from people of all backgrounds, identities, and experiences. If you are excited about our mission but are not sure you meet all the requirements, please still apply. Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks of fully paid leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme

Elliptic is seeking a Staff AI Engineer to play a pivotal role in the company's AI expansion. In this impactful position, you'll govern architectural decisions and evaluate tooling for AI products. Ideal candidates will have experience in AI architectural decisions, with an understanding of both internal tooling and customer-facing products. You will work collaboratively across teams and develop clear foundational documents for AI systems. This role offers hybrid working options and a competitive benefits package, including a £1,000 learning budget and private health insurance.

Elliptic is hiring an engineer for their Collection Engineering team in London. The role involves building tools that enhance intelligence operations for law enforcement and financial institutions to combat crypto crime. Ideal candidates will have strong Typescript skills, a passion for cryptocurrencies, and at least 3 years of commercial experience. The position offers benefits like private health insurance, a learning budget, and 25 days of annual leave along with a hybrid working model.

Elliptic is seeking an AI Platform Engineer to help build the foundational infrastructure of its AI products. You will work on developing core components of the AI platform, enhancing workflows, and ensuring systems are observable and reliable. Ideal candidates are deeply curious about AI and bring experience in software engineering and LLM development. The role offers hybrid working, generous learning budgets, and extensive benefits including private health insurance and additional vacation days.

The impact you will have: As Staff AI Engineer, you will be one of the most impactful early hires in Elliptic's next stage of AI expansion. You will join at a moment when Elliptic is actively forming its approach to AI foundations: tooling decisions are being made, agentic patterns are being established, and the kernel of a centralised AI platform is being laid out. Your role is to govern the quality and coherence of those decisions before they crystallise. You will initially work across our AgentForce and Investigations & AI teams, holding the architectural bar on tooling evaluations, keeping the stack decision open and well-reasoned, and ensuring that the internal agentic patterns being developed today are genuinely inheritable by the customer-facing AI products of tomorrow. You will act as a strong advocate for AI adoption, AI technical best practices, and AI enablement across product, engineering, and development. This is a role for someone who is comfortable with ambiguity, energised by the challenge of making decisions that others will build on for years, and confident enough to hold a strong technical position without needing a team beneath them to do it. What you will do: Serve as the architectural conscience for Elliptic's early AI decisions, evaluating our current tooling explorations (including the LangSmith ecosystem and Databricks) against the requirements of production-scale, customer-facing AI products, and producing a clear, evidence-based recommendation Work consultatively with the Investigations & AI technical lead and AgentForce engineering to ensure that internal agentic patterns, prompt architectures, and evaluation frameworks are being designed with customer-facing scale and regulatory auditability in mind Hold the AI stack decision open responsibly: document trade-offs, establish evaluation criteria, and prevent pragmatic local choices from defaulting the answer before the right person is in place to make it Define and uphold engineering standards for AI systems across the organisation: model observability and tracing, prompt versioning and registry, cost governance, evaluation harnesses, and agent reliability patterns Produce the technical foundation documents that will be a coherent architectural position, a clear view of decisions made and decisions deferred, and an honest assessment of what the architecture can accomplish You will be a great fit here if you: Are energised by the challenge of bringing rigour to early-stage technical decisions, and understand that preventing a bad architectural choice is often more valuable than shipping a feature Can hold a strong, well-reasoned technical position without needing formal authority to make it stick. You influence through clarity, evidence, and the quality of your thinking Think about AI infrastructure the way the best platform engineers think about data infrastructure: as a set of foundations with internal customers whose needs must be understood and balanced Are comfortable operating in ambiguity and working across teams without a fixed mandate, and know how to make yourself useful in a way that doesn't create dependency or territorial friction Care about the trustworthiness of AI systems, not just their capability. Understand why explainability, auditability, and reliability matter especially in a regulated compliance context Our ideal candidate has: Made production AI architectural decisions, including evaluation framework selection, LLM integration patterns, prompt management and versioning at scale, and model observability. You can speak to what went well, what they would do differently, and why Worked across the boundary between internal tooling and customer-facing AI products, and understands how requirements differ across those contexts, particularly in relation to reliability, auditability, and cost Built or significantly shaped an AI evaluation or observability framework in a production environment, and has strong opinions on what good looks like Operated effectively without a team beneath them. As a Staff IC whose impact comes from technical leadership and cross-team influence rather than people management and team workstream prioritisation Bonus Points for: Experience building agentic systems in a production context, including orchestration patterns, tool use, memory management, and agent reliability at scale Familiarity with one of the major AI ecosystems, such as LangSmith, MLflow, or Databricks ML Having navigated a transition from a scrappy, point-to-point AI integration to a well-engineered, reusable AI platform. An understanding of the organisational as well as technical challenges that transition involves An interest in the crypto ecosystem and the mission of making digital assets safer and more accessible Job Benefits Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave and leave. Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme

About the Role As an engineer in our Collection Engineering team, you'll build the tools and platform that power Elliptic's intelligence operation, the engine behind a product used by law enforcement, regulators, and the world's largest financial institutions to fight crypto crime. Intelligence flows into Elliptic from everywhere. All of it needs to be ingested, classified, stored, and reviewed before it can reach our proprietary graph database, the system at the heart of our market leading products. Our team owns that pipeline end to end. Working alongside data scientists, analysts and researchers, you'll help design and build the services and tooling that scale the collection effort, remove bottlenecks, and free our intelligence team to focus on the work only humans can do. Your work will get stolen funds traced, ransomware actors identified, and sanctions enforcement enabled. Few engineering roles connect code and consequence so clearly. What you will do Design and build software tools to improve and enhance our intelligence collection and analysis efforts. Examples of such tools range from services deployed on kubernetes to browser extensions and beyond. Collaborate with a world class team of analysts and researchers to understand their processes and pain points, and automate them away. Develop software to analyse and interpret cryptocurrency usage behaviours and trends. Implement observability mechanisms to detect problems in your environment(s), and run the associated business processes to resolve. You will be a great fit here if you Have a passionate interest in cryptocurrencies and blockchains and their usage (both from a technical and economic perspective) in the real world. Have great coding skills in Typescript and the proven ability to engineer good solutions. Have increased operational efficiency by integrating disparate systems. Enjoy working as part of a close knit team on highly impactful problems, making the crypto ecosystem a safer space. Promote a positive culture of collaboration, through open and effective communication, particularly when addressing issues or raising concerns. Are able to form well reasoned, data driven or otherwise evidence based arguments, to influence key stakeholders across the business. Know when to build PoC vs production grade software. Are fluent in AI and agentic workflows. Required Skills and Experience 3+ years of commercial experience Proficient in Typescript, plus React, Nest.js Familiar with Postgres and K8s Experience with AWS, Terraform, Datadog Bonus points Has worked in an intelligence collection setting Experience with "big data" technologies, the management of data, and data pipelines How we work Hybrid working and the option to work from almost anywhere for up to 90 days per year £500 Remote working budget to set up your home office space Learning & Development $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development Vacation / Leave Holidays: 25 days of annual leave + bank holidays An extra day for your birthday Enhanced parental leave: We provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully paid leave. Benefits Private Health Insurance: We use Vitality! Full access to Spill Mental Health Support Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries £100 Crypto for you! Cycle to Work Scheme

A leading financial technology firm in the UK is looking for an Engineering Lead for their Investigations team. You will shape compliance efforts against financial crime, managing a small engineering team while leveraging strong skills in JavaScript and TypeScript. Applicants should be familiar with both backend and frontend development, and be able to communicate technical concepts clearly. This role offers a hybrid working model, a generous benefits package, and opportunities for growth and development.

A leading crypto technology company in Greater London is seeking a Software Engineering Lead to enhance tools for financial crime investigations. You will lead a team dedicated to developing scalable applications and APIs while balancing technical quality with business needs. Ideal candidates have mentoring experience, strong JavaScript/TypeScript skills, and a passion for building impactful products. This role offers hybrid working options and various employee benefits, including private health insurance and a generous learning budget.