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Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Build all 5 portals and EdTech Hub frontend from scratch. You actively explore the evolving frontend landscape and experiment with new approaches.

Every experiment you run, every channel you test, and every hypothesis you form will be grounded in product marketing insights. This is not a performance marketing role and not a classic PMM role. It's for someone who thinks in funnels and systems, executes growth experiments, and uses product marke

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in. This position is open to applicants across all of the UK on a remote basis, with the physical office located in Belfast, Northern Ireland. The Challenge to Solve How do mom-and-pop pizzerias survive and win in a world of big-budget pizza chains and third-party apps? This is the challenge you’ll help solve at Slice. Local pizzerias already outperform the big chains in offline sales, yet are outsold 20-to-1 online – a gap we’re determined to close. We operate at the intersection of high stakes and local community: our mission is to level the playing field for small businesses by providing them with the technology and capabilities that rival those of the biggest players. When a shop partners with Slice, our goal is that it feels “as if they’ve just hired 1,000 people” to support their business. As an engineer on our team, you’ll seek out bold, asymmetric opportunities to create these outsized impacts for our restaurant partners and the millions of customers they serve. It’s not just about writing code – it’s about writing the future of local pizza. What You'll Do As a Staff Software Developer on our Services team, you will immerse yourself in our ambitious mission and take on a wide range of responsibilities to drive customer impact. Specifically, you will: • Build innovative features & services: Design, code, and launch new backend features that help our restaurant partners operate more efficiently and deliver exceptional, seamless experiences to their customers. Your work will directly enhance real-world interactions between shops and pizza lovers every day., • Identify game-changing opportunities: Constantly look for asymmetric opportunities where a small technical change can deliver disproportionate value. You’ll use your creativity and entrepreneurial mindset to find 10x solutions that delight users and give our partners an edge., • Own projects end-to-end: Take ownership of initiatives from concept through production. You’ll work closely with product, design, and other teams to define solutions, execute rapidly, and iterate based on feedback. When you see a problem, you don’t wait - you tackle it., • Use the best tools for the job: While our primary stack is Python (Flask), we embrace any technology that delivers value. You might rewrite a microservice from Go to Python, craft a script in Ruby, or leverage a new cloud service – whatever it takes to solve the task at hand in a scalable way., • Collaborate in a small, agile team: Work alongside a tight-knit team of 5 to 8 backend engineers (across the US, UK, and Europe) who are as passionate about the mission as you are. Together, you will review code, brainstorm ideas, and push each other to raise the bar while maintaining a fun, supportive atmosphere., • Ensure quality and performance at scale: Employ best practices in coding, testing, monitoring, and DevOps to ensure our services are reliable and performant. You build it, you own it - from writing unit tests to fine-tuning logging and alerting, you’ll make sure your code runs smoothly in production. The Winning Recipe We’re looking for bold, founder-like engineers who aren’t afraid to challenge the status quo and build products that make a real difference. If you’re an unconventional thinker and a highly productive doer, you’ll feel right at home. The ideal candidate has: • Owner’s mindset: You think like a founder. You take initiative, own problems end-to-end, and move with urgency to deliver results. Obstacles energize you, and you thrive in a fast-paced, ambiguous startup environment where your decisions drive real impact., • Proven builder: You have solid experience crafting scalable backend systems in Python (Flask) and working with databases and cloud services. You’re comfortable diving into monitoring and logging tools to keep systems healthy. More importantly, you’re technology-agnostic – you quickly pick up new languages or frameworks (Go, Ruby, or whatever is needed) to solve problems effectively., • Remote-ready collaborator: You excel at working on a distributed team and communicating asynchronously. You’re comfortable collaborating with teammates across different time zones and backgrounds, and you know how to stay connected and communicative in a remote work setting., • Product & customer focus: You care deeply about the why behind your code. You can clearly express opinions on product direction and design, always keeping the end-customer and restaurant owner in mind. At the same time, you respect others’ perspectives and believe the best ideas can come from anywhere., • Innovative problem solver: You love finding creative solutions to hard problems. Words like “impossible” or “uncharted” fuel your curiosity. You seek out those asymmetric win scenarios and aren’t afraid to experiment, adapt, and iterate to achieve a better outcome for users. If you’ve ever dreamed of building something big, scrappy, and impactful – and you have the skills to back it up – we want to meet you! The Extras Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights: • Access to medical, dental, and vision plans, • Flexible working hours, • Generous time off policies, • £200 per annum employee wellbeing allowance, • Market leading maternity and paternity schemes The Hiring Process You’ll find a summary of your expected interview process below and we’ll stick to this as closely as possible, but please note this may be subject to change. • Application, • 30 minute introductory meeting, • 90 minute Live Coding Interview & 60 minute Technical Interview, • 45 minute Hiring Manager meeting, • Offer! Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member. Privacy Notice Statement of Acknowledgment When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations. If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time. For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We are building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance; We're leading the AI evolution in insurance. For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers. Do not take our word for it. Read what Zegons say about us on Glassdoor. Zego's new credit hire department is expanding, and we're looking for a Credit Hire Claims Handler to join us. You'll own a portfolio of credit hire cases, get customers back on the road, and be their main point of contact. We’re after a motivated, ambitious individual who wants to help shape its future, with real exposure to growth opportunities along the way. If you’re detail-oriented and take pride in getting things right, you’ll be perfect for this role. • Caseload management- Own a caseload of credit hire cases from initial vetting through to resolution, keeping accurate records., • Customer support- Answer customer queries by phone and email, maintaining a professional standard throughout., • Administration- Support with PCNs, invoices, and other administrative tasks., • Cross functional collaboration: Align closely with Zego’s claims, legal, finance and insurance teams., • Attention to detail- Accurately record case information and identify discrepancies., • Commercial awareness- Understand how your decisions affect wider business outcomes., • Professionalism- Confident and clear communicating with customers by phone and email, leading with empathy and always representing Zego in a positive light., • Collaborative and proactive mindset- Eager to learn and ability to work cross-functionally., • Desirable- prior experience working in the insurance or motor claims industry., • You work AI-first- You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable. Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our office (central London or Halifax) weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it. We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year. Here is what the last one looked like. • Market-competitive salary, benchmarked against your function and reviewed every year., • Annual performance bonus, linked to company performance and your contribution., • Share options, a real stake in the company and a share in the future you build., • Private medical insurance., • Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new., • Cutting-edge systems and tools, so you always have what you need to drive your impact. Zego, leading the AI evolution in insurance. We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #J-18808-Ljbffr

At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance; We're leading the AI evolution in insurance For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives. You'll get the space to try things, the tools to move fast, and the room to see your ideas reach millions of drivers. Read what Zegons say about us on Glassdoor. If you're ready to build the future of insurance, we’re hiring. Purpose of the role First Notification of Loss is the first thing a customer experiences after an accident, and it sets the tone for everything that follows. In 18 months, every Zego customer reporting a loss will get an accurate, empathetic first contact and be routed to the right next step first time. You are the reason claims start clean, so the rest of the journey runs smoothly. What you will be doing • Handle First Notification of Loss queries by phone, email and live chat with empathy, accuracy and efficiency., • Capture every relevant claim detail correctly at first contact, so nothing has to be chased again later., • Triage customers and route them to the right next step in their claims journey., • Leave customers feeling heard, supported and informed at a genuinely difficult moment., • Keep records in our claims management systems accurate, protecting data quality at every stage., • Work with the wider Claims team and supply chain partners so claims progress smoothly from the very first touchpoint. What you will need to be successful • Call centre experience. You have worked in a call centre and in a fast paced environment. Insurance experience is not required., • Empathy under pressure. You communicate with clarity and warmth, especially when customers are in distress., • An eye for detail. You get the facts right and build rapport quickly over the phone., • Prioritisation at volume. You can multitask, set priorities and manage your time in a high volume contact centre., • Shift availability. 37.5 hours a week, five days out of seven, on shifts between 8am and 6pm Monday to Sunday. That normally means one weekend a month., • You work AI-first. You will use AI daily here, and we mean daily. You do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly. People who wait to be trained will find this uncomfortable. Teams work better with time to collaborate and space to get things done. We call it Zego Hybrid: some of us are in our central London office weekly, others monthly or quarterly. It's about finding the balance between face time and focus that produces great work and a healthy life around it. We also make a point of getting everyone in the same room. Teams come together every quarter, and once a year the whole company does, properly. It's a serious investment and consistently one of the best parts of the year. Here is what the last one looked like. Market-competitive salary, benchmarked against your function and reviewed every year Annual performance bonus, linked to company performance and your contribution Share options, a real stake in the company and a share in the future you build Private medical insurance, for you and your family Pension, generous holiday, and £1,000 a year to spend on getting to the office or learning something new Cutting-edge systems and tools, so you always have what you need to drive your impact Ready to do the most impactful work of your career? We want to hear from you. Zego, leading the AI evolution in insurance. We're an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, or disability status. #J-18808-Ljbffr

Role Purpose Lead the design, engineering, and operationalization of enterprise Security Knowledge Graphs that connect security telemetry, assets, identities, vulnerabilities, threats, controls, and incidents into a trusted intelligence layer. The role is highly hands-on and combines data science, graph engineering, cybersecurity analytics, semantic modeling, and technical leadership to enable attack-path analysis, threat investigation, exposure prioritization, GraphRAG, and AI-assisted security operations. Key Responsibilities • Design the Security Knowledge Graph architecture, ontology, taxonomy, entity model, relationship model, provenance model, and lifecycle standards., • Build production-grade graph ingestion and transformation pipelines for SIEM, EDR/XDR, IAM/PAM, CMDB, vulnerability scanners, cloud security platforms, threat intelligence feeds, security data lakes, and case-management systems., • Develop entity extraction, identity resolution, deduplication, schema mapping, relationship inference, confidence scoring, temporal modeling, and graph enrichment capabilities., • Model assets, applications, users, service accounts, privileges, vulnerabilities, misconfigurations, controls, alerts, incidents, indicators, threat actors, campaigns, tactics, techniques, and procedures., • Implement graph analytics for attack paths, blast radius, privilege escalation, lateral movement, toxic combinations, identity exposure, control gaps, and vulnerability prioritization., • Build and evaluate graph algorithms and ML models including centrality, community detection, similarity, anomaly detection, node classification, link prediction, embeddings, and Graph Neural Networks., • Design GraphRAG and knowledge-grounded security assistants that combine graph traversal, vector retrieval, structured evidence, LLM reasoning, citations, and human approval controls., • Partner with SOC, threat intelligence, IAM, vulnerability management, cloud security, architecture, data engineering, and product teams to convert operational problems into reusable graph-powered capabilities., • Own technical design reviews, coding standards, model validation, observability, performance tuning, security controls, documentation, and production-readiness gates., • Mentor data scientists and engineers while remaining accountable for prototypes, reference implementations, critical code, troubleshooting, and complex customer or stakeholder demonstrations. Mandatory Hands-on Technical Skills • Knowledge graphs: Ontology and semantic model design; property graphs and RDF; graph schema evolution; knowledge representation; provenance; graph quality; entity and relationship resolution., • Graph platforms: Deep implementation experience with Neo4j and Cypher; working knowledge of at least one additional platform such as Amazon Neptune, TigerGraph, Azure Cosmos DB Gremlin, ArangoDB, or JanusGraph., • Graph data science: Neo4j Graph Data Science, NetworkX, PyTorch Geometric or DGL; graph embeddings, pathfinding, similarity, clustering, link prediction, node classification, anomaly detection, and GNN development., • Programming and engineering: Advanced Python and SQL; APIs; test automation; data structures; distributed processing; Git; CI/CD; containers; infrastructure awareness; production debugging and performance optimization., • Data engineering: Spark or Databricks, Kafka or equivalent streaming, ETL/ELT, batch and real-time pipelines, data contracts, lineage, cataloguing, quality rules, and scalable cloud storage., • Cybersecurity: SOC workflows, threat hunting, incident response, detection engineering, vulnerability and exposure management, IAM/PAM, Zero Trust, cloud security, and security control mapping., • Security standards: Practical use of MITRE ATT&CK, STIX/TAXII, CVE, CWE, CAPEC, NIST frameworks, CIS Controls, and common threat-intelligence vocabularies., • GenAI and GraphRAG: LLM-based extraction, retrieval orchestration, agent/tool integration, prompt design, evaluation, grounding, guardrails, explainability, and evidence traceability., • MLOps and observability: Experiment tracking, model versioning, deployment, monitoring, drift and quality checks, auditability, access controls, secrets management, and cost/performance management. Security Knowledge Graph Engineering Expectations • Create canonical entity and relationship definitions with stable identifiers, temporal context, source lineage, evidence attributes, confidence scores, and access-control classifications., • Develop reusable connectors and parsers for structured, semi-structured, and unstructured security sources; implement incremental loading, event-time handling, reconciliation, and recovery patterns., • Engineer mappings between enterprise security data and standards such as MITRE ATT&CK and STIX while managing versioning, extensions, and organization-specific concepts., • Design query patterns, graph projections, indexes, constraints, partitioning strategies, retention policies, and caching approaches for high-volume investigative workloads., • Establish graph quality metrics covering completeness, consistency, freshness, uniqueness, referential integrity, semantic accuracy, and unexplained relationship growth., • Implement privacy, least-privilege access, tenant or business-unit segregation, audit logging, encryption, secure development, and responsible AI controls. Illustrative Use Cases • Attack-path discovery from internet-facing assets to critical applications or privileged identities., • Identity and privilege-risk analysis across users, service accounts, roles, entitlements, devices, applications, and cloud resources., • Threat-intelligence fusion linking indicators, malware, campaigns, threat actors, observed telemetry, vulnerabilities, and affected assets., • Incident investigation timelines, alert correlation, root-cause analysis, blast-radius assessment, and recommended containment evidence., • Risk-based vulnerability prioritization using exploit context, asset criticality, exposure, compensating controls, active threats, and graph proximity., • Graph-grounded security copilots for natural-language investigation, explainable recommendations, detection engineering, and analyst productivity. Leadership & Stakeholder Responsibilities • Define the technical roadmap, reference architecture, reusable accelerators, engineering backlog, and adoption plan for the Security Knowledge Graph capability., • Facilitate architecture workshops and communicate trade-offs, risks, dependencies, and business value to security leaders, architects, product owners, and engineering teams., • Lead design and code reviews; coach teams on graph modeling, data science rigor, cybersecurity context, and reliable AI engineering., • Coordinate with governance, privacy, legal, risk, and Responsible AI stakeholders to ensure transparent, accountable, and human-supervised use of AI., • Support solution estimation, delivery planning, technical proposals, demonstrations, and executive-level presentations. Required Qualifications • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Cybersecurity, Engineering, or a related discipline., • Demonstrated ownership of at least one production knowledge graph or graph analytics solution, preferably in cybersecurity., • Strong portfolio of hands-on Python and graph-query development, data pipeline engineering, testing, and production deployment., • Ability to translate complex security problems into data models, algorithms, measurable experiments, scalable services, and clear technical documentation., • Excellent communication, mentoring, problem-solving, and cross-functional leadership capabilities. Preferred Qualifications • Experience with cloud-native security and data services on Azure, AWS, or Google Cloud; enterprise graph platforms; modern lakehouse architectures; and security copilots or agentic AI patterns., • Relevant certifications such as CISSP, CISM, GIAC, cloud security, cloud AI/data, or Neo4j Graph Data Science are advantageous but not mandatory. Key Deliverables and Success Measures • Approved Security Knowledge Graph architecture, ontology, governance model, and phased implementation roadmap., • Production-grade ingestion, entity-resolution, enrichment, graph analytics, API, and GraphRAG components with automated tests and operational documentation., • Measurable improvement in investigation speed, attack-path visibility, correlation quality, vulnerability prioritization, analyst productivity, and explainability., • Reliable service performance demonstrated through data-quality thresholds, query latency and scale targets, monitoring, security reviews, adoption, and stakeholder acceptance., • Sustainable engineering capability through reusable assets, standards, knowledge transfer, mentoring, and a prioritized innovation backlog. Ideal Candidate Profile A credible technical leader who can move seamlessly from a CISO-level discussion to ontology design, Python development, Cypher optimization, graph algorithm selection, model evaluation, and production troubleshooting. The successful candidate combines cybersecurity depth with strong data-science discipline and builds trustworthy graph-powered solutions that improve real security decisions, not just demonstrations. JBRP1_UKTJ

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu