
Beamery · London
ABOUT BEAMERY With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s unique jobs, skill...
With the rapid expansion of AI and automation, the future of work has never been more challenging for organizations. Beamery’s
unique jobs, skills and tasks data platform helps organizations navigate these challenges and make more informed decisions across
Talent Lifecycle Management. Our solutions power recruitment, mobility, upskilling, diversity, work architecture and workforce
planning for some of the world’s most forward-thinking companies.
We believe that where you work is much more than just a job. Millions of people are being left behind every day in their careers,
and we’re on a mission to fix this by creating equal access to meaningful work, skills and careers for all.
We are an equal opportunity employer committed to building a representative Beamery, creating an equitable, inclusive and engaging
environment for our people.
So, what are you waiting for? Join us and help us transform the future of work once and for all.
What’s ahead — and why it’s an exciting time to join the team:
Deepening our native integrations with SAP, Workday, Microsoft, and LinkedIn to seamlessly embed our skills intelligence into the
platforms where critical workforce decisions are made.
Embedding our agentic AI to help customers plan smarter for the future—powering workforce strategies, internal mobility, and
skills forecasting.
Advancing our use of proprietary LLMs and knowledge graph technology to help organizations unlock broader talent pools, make
fairer decisions, and expand access to opportunity at scale.
But it’s not all about creating high-quality products, we also very much value the company culture we have worked hard to create;
built on trust, empathy & honesty ensuring our workforce is able to bring their full selves to work.
data platform, using state-of-the-art technologies and tools. You will lead the design and implementation of scalable,
high-performance ETL data pipelines and storage solutions, ensuring operational excellence, uptime, and data correctness across
all pipelines.
data models and transformations to drive business intelligence. This includes defining and maintaining core business metrics,
feature usage signals, as well as creating a clean, scalable semantic layer to support advanced analytical and AI applications
insights quickly. You will implement proactive monitoring and alerting systems to ensure data quality and immediately address
anomalies in key metrics or data streams.
and software engineers at all levels. You will help set best practices for coding, data modelling, and pipeline design,
developing a culture of continuous improvement and technical excellence.
will be expected to translate complex requirements into actionable plans, effectively communicate data-led recommendations, and
ensure project outcomes drive measurable business success.
and coding tools to increase velocity. You will write clean, structured, and scalable code and help cultivate an engineering
environment focused on technical excellence and rapid iteration.
platform, making informed recommendations that align with business goals. You will ensure that data is used effectively to
guide critical decisions and that the platform continues to support rapid growth and scalability.
What are we looking for?
Beamery is for Everybody. Diversity and open expression are fundamental to us. We acknowledge the challenges in our industry and
strive to develop an inclusive culture where everybody can contribute. We are dedicated to creating an inclusive environment for
everyone, regardless of ethnicity, religion, color, sexual orientation, gender identity, race, national origin, age, disability
status, or caregiver status. If, for whatever reason, you need us to make reasonable adjustments and adaptations to our
recruitment process, please email accommodations@beamery.com
Visit our Diversity, Equality and Inclusion page to learn more about progress and commitments.
Do you want to help define the future of blockchain intelligence? Are you passionate about data, distributed systems, and delivering impact at scale? Are you looking for a values‑driven company that invests in its people and gives you the autonomy to shape critical systems? We’re looking for a Senior Software Engineer to join Elliptic’s Product‑Engineering organisation, focusing on data engineering solutions that power our analytics and intelligence products. As a senior member of the team, you will drive the technical direction of our data platform, ensuring it continues to meet the growing demands of blockchain analysis. Challenges include building a blockchain‑agnostic solution that scales globally, processing large batch and streaming datasets, and solving complex data processing problems that give our customers deep insights into the flow of value across the crypto ecosystem. The impact you will have: Our data and intelligence platform sits at the heart of everything we do. As a senior engineer, you will design and implement data systems that serve as the backbone of all Elliptic products. You will collaborate across blockchain, intelligence and product teams to deliver innovative features and scalable architectures that help the world fight financial crime and increase transparency in the crypto space. You will also mentor engineers, champion best practices, and influence cross‑team decisions that shape how Elliptic processes and delivers blockchain intelligence data. What you will do: * Architect, design, and implement large‑scale distributed data systems and pipelines. * Contribute to technical decision‑making across batch and streaming data solutions. * Collaborate with engineers, product managers, data scientists, and intelligence analysts to build customer‑focused products. * Explore and integrate new technologies (e.g. data orchestration or cloud‑native tools) to optimise performance and scalability. * Take shared ownership of data systems, from design to deployment and ongoing improvement and support. * Perform thoughtful peer reviews that raise code quality and share best practices across the team. * Contribute to platform‑wide initiatives that improve reliability, observability, and cost efficiency. * Help shape the technical roadmap for data engineering across Elliptic. Tech environment: Scala | Spark | Databricks | AWS | Airflow | Kubernetes | Terraform | Functional Programming We value depth in any modern data ecosystem. If you’re strong in equivalent technologies and excited to learn Scala, we’ll support you in the transition. You will thrive here if you: * Enjoy end‑to‑end ownership, from architecture design to coaching others through delivery. * Strive for engineering excellence and scalable, sustainable systems. * Use data and experimentation to guide decisions. * Communicate openly and collaborate across teams. * Support and coach less‑experienced engineers. * Believe every challenge is an opportunity to simplify and innovate together. What we are looking for: * Ability to design, build, and maintain distributed data systems in a cloud‑based environment. * Hands‑on experience with big data frameworks such as Spark or Databricks (or a willingness to learn). * Knowledge of cloud infrastructure (AWS, GCP, or Azure). * Judgement to balance scalability, performance, and maintainability. * Experience or interest in functional programming, data modelling, workflow orchestration, or AI‑driven tools. If you don’t meet every criterion but are excited about this role, we encourage you to apply. Bonus Points for: * Experience in stream processing frameworks and event‑driven architecture. * Hands‑on experience with Infrastructure as Code (Terraform, CloudFormation). * Experience working in containerised environments (Docker, Kubernetes). * Interest in crypto and blockchain technologies. JOB BENEFITS > 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 and 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 * Cycle to Work Scheme We know Diversity and Inclusion is much deeper than just hiring, but it’s important for us to mention it here. We welcome and embrace individuals of all backgrounds and identities at Elliptic, and this is an ongoing priority for us. We know incredible people don’t all think in the same way. We want to be challenged every day. We believe our diverse team of individuals underpins this by bringing creative thinking and innovation to Elliptic every day. We are committed to creating a diverse, inclusive and equitable workplace, so we welcome applications from everyone, even if you may not think you fit all of the requirements of our roles. We foster an environment of psychological safety, where everyone feels comfortable to bring their whole self to work.
About Neo4j: Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise-ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy-to-deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community. Intelligence that works. Results that matter. Built to work everywhere and integrate with everything across every cloud for dynamic, personalized, and autonomous AI systems. We deliver quicker results, contextual knowledge, and solutions that impact customers and employees across the business. Our Vision: At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive. THE ROLE Join the team behind Neo4j Graph Analytics for Snowflake, our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You'll work on a product that lives natively inside Snowflake: a containerized Java + Python runtime, a SQL-first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands-on, mid-to-senior role at the intersection of graph analytics, cloud-native distribution, and DevOps, with a meaningful say in the platform's technical direction. WHAT YOU'LL DO * Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform. * Design and improve our SQL-facing API: stored procedures, UDFs, and the surface area customers call from their warehouses. * Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services. * Improve the platform's security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning. * Collaborate with customers and Solution Engineers to turn real-world requirements into scalable features. * Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments. WHAT YOU'LL BRING * 4+ years of professional experience building and shipping production-quality software. * Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar). * Solid grounding in at least one of Java or Python, and willingness to be effective in both. * A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product. * Experience designing software for performance, scalability, and predictable cost on cloud infrastructure. BONUS POINTS * Hands-on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale. * Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.). * Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them. * Background in distributed systems, JVM performance tuning, or columnar/analytical query engines. Experience working in a distributed, remote-first team and shipping to enterprise customers. #Li-Hybrid Why Join Neo4j? Neo4j is, without question, the most popular graph intelligence platform in the world. We have customers in every industry globally, and our products are a proven product/market fit. Joining our team is an opportunity to shape the future of data and analytics. Below are just a few exciting facts about Neo4j. * Neo4j is one of the fastest-scaling technology companies in this industry. It recently surpassed $200M in annual recurring revenue (ARR), doubling its ARR over the past three years. * Raised the biggest funding round in database history ($325M Series F). Backed by world-class investors like Eurazeo, GV (formerly Google Ventures), and Inovia Capital, Neo4j has raised over $600M in funding and is currently valued at over $2Bn. This puts Neo4j among the most well-funded database companies in history. * 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j. Examples include Boston Scientific, BT Group, Caterpillar, Cisco, Comcast, Department for Education UK, eBay, NBC News, Novo Nordisk, Worldline, and others. * Co-founder and CEO Emil Eifrem has built an amazing culture that prides itself on relationships, inclusiveness, innovation, and customer success. * Countless industry awards. Massive enterprises and individual developers/data scientists love Neo4j. A strong sense of community and ecosystem is built around the platform. * A recent Forrester Total Economic Impact™ Study cited Neo4j as delivering 417% ROI to customers. Research shows that members of underrepresented communities are less likely to apply for jobs when they don’t meet all the qualifications. If this is part of the reason you hesitate to apply, we’d encourage you to reconsider and give us the opportunity to review your application. At Neo4j, we are committed to building awareness and helping to improve these issues. One of our central objectives is to provide an inclusive, diverse, and equitable workplace for everyone to develop their potential and have a positive, career-defining experience. We look forward to receiving your application. Neo4j Values: Neo4j is a Silicon Valley company with a Swedish soul. We foster collaboration and each of us is empowered to contribute and put our innovative stamp on projects. We hire candidates who reflect the following Neo4j core values: (we)-[:VALUE]->(relationships) (we)-[:FOCUS_ON]->(userSuccess) (we)-[:THRIVE_IN]->(:Culture {type: [‘Open’, ‘Inclusive’]}) (we)-[:ASSUME]->(:Intent {direction:’Positive’}) (we)-[:WELCOME]->(:Discussions {nature: ‘IntellectuallyHonest’}) (we)-[:DELIVER_ON]->(ourCommitments) Neo4j is committed to protecting and respecting your privacy. Please read the privacy notice regarding Neo4j's recruitment process to understand how we will handle the personal data that you provide. More information at www.neo4j.com. ©2026 Neo4j, Inc., Neo Technology®, Neo4j®, Cypher®, Neo4j Bloom™, Neo4j Graph Data Science Library™, Neo4j® Aura™, and Neo4j® AuraDB™ are registered trademarks or a trademark of Neo4j, Inc. All other marks are owned by their respective companies.
ABOUT THE OPPORTUNITY Become part of the AI revolution at Contentful where we build real world AI solutions for thousands of active customers. At Contentful you will help imagine, drive, and build ML solutions which produce immediate customer impact by helping them get more done than they ever imagined. We are looking for an excellent Senior Software Engineer - Machine Learning (f/m/d) who understands and has experience in this field and current Generative AI trends. If you're passionate about pushing the boundaries of what's achievable with ML products on a large scale content management system, we want you on our team. WHAT TO EXPECT? * Measure and ensure the high-quality output of ML workloads for our enterprise customers. * Design, build, and measure production software in the Contentful Platform. * Conduct focused research and testing using tools like Jupyter Notebook. * Optimize generative AI products for accuracy, speed, and scalability. * Integrate ML cloud solutions and adapt them to our large-scale use cases. * Integrate prompt engineering and fine-tuning for customer use cases. * Develop software that scales to meet the demands of high-load customer workloads. * Lead design reviews with peers and stakeholders to decide amongst available technologies. * Drive the ML education in the team and establish a high standard of quality & ownership WHAT YOU NEED TO BE SUCCESSFUL? * Proven experience as a technical leader in a product software development environment * Proven Track Record in Model Development, including successfully developing and deploying LLM-based models for various NLP tasks in real-world applications with production workloads * Proven ability to work backwards from customer needs to deliver ML-based features that meet those needs * Ability to organize and prioritize competing workloads * Familiarity with distributed systems and cloud services (e.g., AWS, Azure, GCP) * Solid understanding of machine learning principles * Experience with container frameworks such as Docker or Kubernetes * Constructive Problem-Solving: As a natural problem-solver, you bring forward ideas that lead to practical solutions and contribute to product growth. * Up-To-Date on The Latest Updates on LLM Development & Research: From RAGs to Open-Source models over Agent Architectures – you have an inherent drive to stay up-to-date on what is the latest and greatest Preferred: * Background includes machine learning and AI implementation * You can translate a research paper into a PoC if the code does not exist WHAT’S IN IT FOR YOU? * Join an ambitious tech company reshaping the way people build digital experiences * Full-time employees receive Stock Options for the opportunity to share in the success of our company * Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family. * We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days * Time off to care for and focus on your growing family * Use your personal annual education budget to improve your skills and grow in your career * Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties * An annual wellbeing stipend to care for your physical, financial, or emotional health * A monthly communication phone/internet stipend and phone hardware upgrade reimbursement. * New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best. WHO ARE WE? Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging, personalized content at scale. By blending composability with native AI capabilities, Contentful enables dynamic personalization, automated content delivery, and real-time experimentation, powering next-generation digital experiences across brands, regions, and channels for more than 4,200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful, working from hubs in Berlin, Denver, San Francisco, London, New York, and distributed worldwide. EVERYONE IS WELCOME HERE! “Everyone is welcome here” is a celebrated component of our culture. At Contentful, we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences, and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, color, national origin, religion, sexual orientation, gender, gender identity, age, physical [dis]ability, or length of time spent unemployed. We invite you to apply and join us! If you need reasonable accommodations at any point during the application or interview process, please let your recruiting coordinator know. Please be aware of scammers who may fraudulently allege to be from Contentful. These types of fraud can be carried out through copycat websites, fake email addresses claiming to be from our company, or social media. We do not ask for your personal information, such as bank account numbers, identification numbers, etc, through social media or chat-based apps, nor do we request or send money for the purchase of business equipment. If you suspect fraud, please report it to your local authorities, as well as reach out to us at security-esk@contentful.com with any information you may have. By clicking “Apply for this job,” I acknowledge that I have read the “Contentful’s Candidate Privacy Notice” and hereby consent to the collection, processing, use, and storage of my personal information as described therein.