78 jobs found

Security Researcher (AI & Detection Engineering) Location: London (Hybrid) Salary: £70,000-£90,000 + bonus + benefits We're partnering with one of the UK's most innovative cyber security organisations as they expand their research capabilities at the intersection of AI, Security Research and Detection Engineering. You'll help explore how emerging AI technologies can be leveraged to improve threat detection, automate security workflows and influence the next generation of security products. Security Researcher - Responsibilities Research emerging threats, attacker techniques and security trends Investigate how AI can enhance detection and security outcomes Develop prototypes, tooling and automation using Python Explore Agentic AI workflows and security use cases Work with engineering teams to translate research into product capabilities Design, test and validate new detection approaches Security Researcher - Requirements Background in Security Research, Threat Research, Detection Engineering, Threat Hunting or Security Operations Strong Python skills and experience building tooling or automation Understanding of threat detection, attacker TTPs and modern security operations Interest in AI, LLMs, Generative AI or Agentic AI Strong analytical and research mindset Security Researcher - Nice to Have MSc, PhD or research-focused academic background Published research, technical blogs or conference presentations Open-source contributions Experience applying AI to security challenges An excellent opportunity for someone who enjoys solving difficult technical problems and wants to help shape the future of AI-driven cyber defence. Rates depend on experience and client requirements

Harrington Starr is seeking a hands on AI engineer to design and deploy production grade AI applications using the latest LLMs. You will work on scalable solutions that tackle complex business problems and continuously improve model performance through experiments and testing. Collaborate with users to iterate rapidly while staying current with AI ecosystem developments, and bring strong Python engineering to shipping production code in a fast growing AI environment.

Savanta is looking for an experienced engineering team lead to lead an agile team building a cutting-edge AI platform for market research. About Us: Savanta is a leading data, market research and advisory company helping the world's leading brands make better decisions, faster. With over 500 people across offices in multiple countries, we combine deep research expertise, proprietary technology and high-impact consulting to give our clients a complete view of their markets, their customers and their competitors. About the Role: Modern AI has created new possibilities in market research, the ability to use real world market data and AI models to generate synthetic responses to market research questions. You will lead the team responsible for Virtual Personas, Savanta's synthetic personas solution built using our unique data set. This role is based in our London office, with the expectation to be onsite 1-3 days per week. You will lead up to 4 engineers working in a cross functional agile team alongside a product manager, with input from our UX designer and QA teams. The team is to deliver the product roadmap alongside driving further adoption of cloud first technologies; we are Azure based, with PostgreSQL and MongoDB as our primary data stores and a multi-provider LLM stack (OpenAI, Google Gemini and Anthropic). We want you to dive in, get your hands dirty, and figure things out, but also to be someone your team can rely on for help and guidance when they need it. Our Tech Team works within a learning and collaborative environment, where empowerment is key to our success, along with developing a culture of innovation and creating an environment where everyone can excel. This is a great opportunity to lead engineering in a totally new field using cutting edge technology. Virtual Personas sits at the frontier of applied AI in the industry and has the potential to fundamentally change the way market research is done. Savanta intends to be a pioneer in this area and is putting in the investment to ensure that happens. You'll also be responsible for: Part of a team responsible for setting direction for Virtual Personas Delivery of the Product roadmap Managing a team consisting of a range of skillsets and experience Full stack development, across Python/FastAPI services and React/TypeScript front ends Continuously improving the team's processes for iterative development, including embedding automated testing and CI quality gates into a fast-moving AI product Championing the responsible and secure use of LLMs - including prompt-injection awareness, defensive design, and sound data handling for personas built on real respondent data Setting technical direction for the team Interacting directly with customers, understanding their needs, and generalising them Finding ways to build fast, scalable, flexible systems without blowing the budget Mentoring, supporting, and encouraging our developers Conducting regular 121's, setting objectives and assisting with tailored development plans Our engineering environment includes technologies such as Python (FastAPI), LangChain/ LangGraph for multi-agent LLM orchestration, React/TypeScript, PostgreSQL, MongoDB, Redis, Azure (App Service, Container Registry, Blob Storage), Docker, GitHub Actions, and modern CI/CD pipelines. About You: You will have a strong engineering background, and a track record of leading teams that have launched and scaled up new products while maintaining good engineering practices. You will be innovative and comfortable with working in a rapidly evolving business area. Experience leading agile rapid release iterations, ideally on fast-moving AI/LLM-powered products Extensive experience specifically with Python and modern async web frameworks, or experience in closely related languages Hands-on experience building or maintaining LLM-powered applications - prompt design, multi-provider integration, and agent orchestration (e.g. LangChain/ LangGraph or an equivalent framework) Strong RDBMS experience (e.g. PostgreSQL) and comfort with document stores (e.g. MongoDB) and caching layers (e.g. Redis) Comfortable working with AI-assisted development tools (e.g. Claude Code, Cursor, GitHub Copilot) as part of the daily workflow A willingness to learn - new technologies (including emerging AI tooling), our business and platform, and ways of working - is an absolute must Full product delivery mindset focused on a tested user experience Encourages a test-first approach as part of stories, aiming for high automated coverage, and comfortable establishing CI quality gates (lint, type-check, test) where they don't yet exist Runs meetings such as project kick-offs, stakeholder check-ins, and retrospectives Comfortable with some ambiguity and shifting priorities in your work environment, and comfortable with managed change Confident in using spikes to de-risk work as well as guiding the team in iterating towards a long-term scalable architecture - including hardening AI features against risks such as prompt injection and unbounded model behaviour Experience with FastAPI, async SQLAlchemy, and/or Node/Express Experience with React/TypeScript front-end development Experience with LangChain, LangGraph, or other multi-agent/LLM orchestration frameworks Experience configuring Azure services (App Service, Container Registry, Blob Storage) or AWS equivalents Familiarity with LLM observability/evaluation tooling (e.g. Langfuse) and resilience patterns for third party AI providers (e.g. circuit breakers, provider fallback) Awareness of data protection and AI transparency considerations relevant to handling panel/respondent data and AI-generated outputs (e.g. GDPR, EU AI Act) - as context for engineering decisions, not as a compliance determination Experience/interest of informal leadership or formal management experience Experience working across team boundaries with stakeholders And in return, Savanta offers: Unlimited annual leave Ongoing Training & Development Employee Assistance Programme Team & Company Socials Committees for Health & Well Being, Charities & Volunteering and DE&I Why Join Us: Part of the vibrant Next 15 Communications Group, we have an entrepreneurial and inclusive company culture that actively recognizes and values its people and offers unrivalled scope for career development, including mentoring, coaching as well as extensive training programs. The company was founded on the belief that tech should be integral to its success, and this culture of tech innovation makes us best placed to put Savanta at the heart of our clients' businesses offering solutions before they even know the problem. Savanta is committed to being an equal opportunities employer and continuously strives to be an employer of choice. Our people are our greatest asset - we value workplace diversity and inclusion, oppose all forms of unlawful discrimination, and welcome applications from suitably qualified candidates of all backgrounds. All candidates will be considered equally, however, unfortunately we are unable to offer visa sponsorship. We encourage authentic responses that reflect your own experience and approach. Candidates should avoid relying on Generative AI to fully create cover letters or application responses, as this may be considered during the review process. For information on how Savanta uses your data, please see

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast. We are looking for a highly skilled Senior Data Engineer to become part of our core Enterprise Data Engineering team. You will be a senior member of the larger AI, Data and Innovation organization, responsible for designing and expanding enterprise-level data infrastructure that enables ZoomInfo's internal teams to interact with data comprehensively. The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments. Given the dynamic nature of emerging technologies, this role requires an individual who excels at exploration and embraces continuous learning as core responsibilities. You'll constantly research and implement innovative solutions while integrating vast, diverse data sources into our AI applications, including our industry-leading LLM-powered systems. This role also carries production ownership: you will share on-call responsibility for the pipelines and platforms you build, and you're comfortable triaging, escalating, and driving incidents to resolution under pressure. What you'll do: Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python. Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake. Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion. Define roadmap priorities that anticipate internal consumer needs and drive competitive advantage in data and AI capabilities. Serve as a trusted advisor to leadership on strategy, AI-readiness, and data infrastructure investment decisions. Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that directly enhance customer value. Define, monitor, and enforce data quality SLAs across all pipelines and products, ensuring data accuracy and lineage are a top priority. Participate in a shared PagerDuty on-call rotation, responding to pipeline and platform incidents, performing root-cause analysis, and driving remediation and postmortems. Triage production issues quickly and escalation appropriately, knowing when to loop in engineering leadership, Platform engineers, adjacent teams, or business stakeholders based on severity, blast radius, and customer impact. Operate effectively amid ambiguity by making sound judgment calls and iterating with stakeholders rather than waiting for perfect clarity. Mentor and coach junior engineers, promoting best practices in code quality, data architecture, incident response, and operational excellence. Participate in architectural

Senior Research Engineer - Machine Learning & Generative AI 12-month contract £81,000-£90,000 London Hybrid - 3 days onsite We're hiring an experienced Senior Research Engineer to join a world-leading technology organisation working at the frontier of AI and machine learning research. This is an unusually research-heavy engineering opportunity. You'll be embedded directly within a cutting-edge AI research team, working on areas including large language models, reinforcement learning, synthetic data, multi-agent systems and AI agents, while also building the robust infrastructure needed to support complex research experiments. Non negotiable skills: 5-7 years' relevant experience, with strong hands-on Machine Learning/AI expertise. Strong Python programming skills - a core non-negotiable. Proven experience developing machine learning models at scale, ideally within a leading technology company, AI research lab or similarly sophisticated environment. Experience writing production-quality software and running complex experiments involving large AI models and datasets. Strong scientific/research mindset - able to investigate not just whether an approach works, but why. Comfortable working at pace in a highly ambiguous research environment where priorities can change rapidly. Experience with PyTorch, LLMs, LLM post-training, reinforcement learning, generative AI or multi-agent systems would be particularly valuable. A research-focused Master's or PhD in AI/ML is advantageous but not essential. Deadline for this role is Monday the 14th of September.

Role Overview We are seeking an experienced AI Automation Engineer to design, develop and implement AI-driven automation solutions across Digital Workplace Services . The role will focus on Generative AI, Microsoft Copilot, Copilot Studio, Azure OpenAI, Power Platform and intelligent AI agents to improve employee experience, optimise IT operations, enhance service desk efficiency and enable intelligent workplace support. The successful candidate will combine strong AI/GenAI engineering, Microsoft technologies, automation and API integration skills to deliver practical enterprise AI solutions. Key Responsibilities AI & Automation Engineering Design and implement AI-powered workplace automation solutions. Develop intelligent virtual assistants, chatbots and AI agents using Microsoft Copilot Studio and Azure OpenAI . Build Agentic AI workflows for autonomous task execution and IT support automation. Integrate AI solutions with ITSM platforms, collaboration tools and enterprise applications. Develop workflow automations using Power Platform, APIs and orchestration frameworks . Apply RAG, prompt engineering and LLM technologies to enterprise use cases. Digital Workplace Transformation Deliver AI-powered Digital Workplace solutions. Implement intelligent employee self-service capabilities. Develop Copilot-enabled workflows to improve productivity. Improve workplace experience through AI-driven support and knowledge management. Service Desk Automation Develop AI solutions for: Ticket summarisation Automated ticket classification Knowledge article generation Self-healing automation Intelligent incident routing Virtual support assistants Predictive support capabilities Integration & Development Integrate AI solutions with: ServiceNow Microsoft 365 Microsoft Teams SharePoint Online Power Platform Azure Services Enterprise applications Develop APIs and connectors to enable secure data exchange between AI solutions and enterprise platforms. AI Governance & Operations Apply Responsible AI principles. Support security, privacy and governance requirements. Monitor AI solution performance and optimise solutions. Support AI lifecycle management and operational excellence. Ensure AI automation solutions are reliable, scalable and maintainable. Required Technical Skills AI & Generative AI Azure OpenAI Services GPT / LLM models RAG Prompt Engineering AI Agents / Agentic AI Semantic Kernel LangChain and/or LangGraph Microsoft Technologies Microsoft Copilot Microsoft Copilot Studio Power Automate Power Apps Microsoft Teams SharePoint Online Microsoft Graph API Azure AI Services Automation & Development Python PowerShell REST APIs JSON Workflow automation GitHub Copilot Azure & Cloud Microsoft Azure Azure Functions Logic Apps Azure AI Foundry Azure DevOps ITSM & Digital Workplace ServiceNow Microsoft Intune Endpoint Management Autopilot Knowledge Management platforms Preferred Qualifications Microsoft Certified: Azure AI Engineer Associate Microsoft Certified: Power Platform Developer Associate Microsoft Copilot certification ServiceNow Certified System Administrator Azure Solutions Architect certification Certifications are desirable and should not replace hands-on experience. Desirable Experience Digital Workplace Services operations Employee Experience platforms AI-powered service desk Workplace analytics Experience Management / XLAs Intelligent collaboration solutions Enterprise AI transformation programmes Soft Skills Strong analytical and problem-solving skills. Excellent stakeholder management. Ability to communicate complex AI concepts to business users. Innovation and continuous-learning mindset. Experience working on enterprise AI transformation initiatives.

About The Role Taktile is building a platform for creating, publishing, and executing AI-powered agents that help teams automate complex workflows in financial services. The Agents team owns the agent execution runtime, tool orchestration, and platform infrastructure that makes this possible, including the conversational copilot experiences built on top of it across the product. We are hiring a Full-Stack Engineer to help build and ship production features across this entire stack, from the agent runtime and tool orchestration layer in the backend, to the conversational copilot experiences users interact with every day. You'll work alongside experienced engineers, contribute to real product impact from day one, and grow your skills in a fast-moving, high-ownership environment. Taktile is a hybrid company. This role requires working at least 3 days per week from our Berlin HQ, London Office or Iasi Hub. What You'll Do Build and ship features end-to-end for Taktile's AI agent platform: backend in Python (FastAPI) on AWS serverless infrastructure, and frontend in React and TypeScript. Build conversational copilot experiences end to end: chat UI components, streaming responses, rich in-chat interactions, and human-in-the-loop approvals. Improve how agents run, how they connect to external tools, and how they behave when something goes wrong. Own your work end-to-end: collaborate on scope, implement, test, release, and iterate based on real usage and customer feedback. Use leading-edge AI tools (e.g. Claude) on a daily basis to move faster, improve quality, and build AI-native capabilities where it makes sense. Review pull requests with depth, improve test coverage and CI/CD, and raise the bar on reliability and engineering excellence. Engage actively in team rituals such as daily syncs, planning sessions, demos, and technical deep-dive discussions. Grow as an individual and accelerate your career by learning from experienced team members, contributing to a foundational layer of the product, and joining cross-team learning groups. For career growth at Taktile, this role will involve daytime ops duty and at some point joining an on-call rotation, so you need to have passion for owning systems end to end and grow your DevSecOps skills as well. Team's tech stack Backend: Python (FastAPI, Pydantic) Frontend: React, TypeScript Data: DynamoDB, Postgres Cloud: AWS serverless (Lambda, API Gateway) AI: LLM orchestration, tool-use frameworks, streaming execution Requirements Strong engineering fundamentals with a passion for simplicity and precision. Fluency in English, both written and spoken, is essential as we operate in a remote environment requiring clear and effective communication. Strong English skills are also crucial to efficiently interacting with AI. Prior industry experience building full-stack web applications (this is not an entry-level position). Proficiency with React and TypeScript, and experience building rich, interactive user interfaces. Experience with Python back-end development, building and operating RESTful APIs, and working with databases. Experience integrating into AWS or similar cloud providers. Nice But Not Required Experience building chat or conversational UIs, real-time/streaming interfaces, or data visualization. FastAPI and Pydantic experience. DynamoDB or Postgres, SQLAlchemy. Exposure to LLM application development, agent frameworks, MCP, or building developer tools. Prior ops or on-call experience. Experience with distributed systems, async task processing, or observability tooling (tracing, metrics, logging). Our Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here. Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo. Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe. Receive a top-of-market equity and cash compensation package. Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes. Receive a new Apple MacBook Pro, as well as meaningful home office set-up. Our Stance We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply. We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears. About Us Taktile enables financial institutions to transform into AI-native organizations that are increasingly powered by autonomous agents. With our modular Agentic Decision Platform, customers combine AI agents, rules, relevant context, and human oversight to safely automate and optimize their decisions-approving more customers, reimbursing claims instantly, stopping fraud before it spreads, and financing every business worth funding. Founded in 2020, Taktile powers millions of decisions daily for institutions including Mercury, Monzo, Faire, and Pleo. With offices in New York, Berlin, London, São Paulo, and Iași, the company has raised $184M from Growth Equity at Goldman Sachs Alternatives, Index Ventures, Tiger Global, Balderton Capital, and Y Combinator. Learn more at About Your Employment. Taktile operates through regional entities worldwide. Depending on the location of this role, your employment or engagement will be with Taktile LLC (US), Taktile GmbH (Germany), Taktile Ltd (UK), or Taktile SRL (Romania). The applicable entity will be confirmed during the offer process. Your Privacy. Taktile ("we" or "us") is the controller of the personal data you provide during this application process. We collect and process your name, contact details, resume/CV, work history, education, and any other information you submit or that we obtain from publicly available sources or references. How we use your data: We process your personal data to evaluate your candidacy, communicate with you about the recruitment process, comply with legal obligations (such as right to work verification), and, with your consent, to consider you for future opportunities. Legal basis (EU/UK applicants): We rely on (i) pre-contractual steps at your request (GDPR/UK GDPR Art. 6(1)(b , (ii) legal obligations (Art. 6(1)(c , and (iii) our legitimate interest in evaluating candidates (Art. 6(1)(f . Retention: If your application is unsuccessful, we retain your data for 12 months after the recruitment process concludes, unless you consent to longer retention. Successful candidates' data becomes part of their employment records. Your rights: Depending on your location, you may have the right to access, correct, delete, or restrict the processing of your personal data, to data portability, and to withdraw consent. Automated decision-making: We use automated tools to assist in screening applications. No hiring decision is made solely by automated means without human review. International transfers: Your data may be transferred to and processed in the United States, Germany, the United Kingdom, or Romania. Where required, transfers are protected by Standard Contractual Clauses or other approved mechanisms. By submitting your application, you acknowledge that you have read and understood Taktile's Applicant Privacy Policy. To exercise your rights or ask questions, contact .

Senior Backend Engineer - London or England remote London, UK Permanent Hybrid Join a team small enough that what you build is what exists, and take agentic AI features from a founder's idea to something hundreds of investment firms rely on to make real capital decisions. What you'd actually work on Building and shipping production backend services and APIs in Python (FastAPI) that power the platform's AI features, used daily by professional investors Designing and owning the orchestration layer for agentic AI capabilities: how the system plans, calls tools, and retrieves the right data at the right time Working directly with PostgreSQL and ClickHouse to enable fast, reliable data retrieval for AI-driven analysis at real scale Taking a feature from a founder's rough idea to something live in production within the same sprint, without layers of process in between Mentoring teammates and helping set engineering standards as the team grows from around seven engineers today to over thirty Making real calls on architecture and tooling rather than inheriting decisions frozen in place years ago Working closely enough with the founders that your technical judgment shapes what gets built next, not just how it gets built Where it gets technically interesting Agentic workflows and tool use sit on top of a data platform that has to stay fast and correct under real investor usage, not a demo Two different database workloads in the same system: PostgreSQL for transactional data, ClickHouse for the columnar, analytics-heavy queries behind the AI insights AI coding tools (Cursor, Claude) are part of the actual day-to-day workflow, not a side experiment A genuinely small engineering team means no one else is quietly maintaining the parts you don't touch Retrieval and embeddings work that has to hold up against messy, high-stakes private market data rather than clean public datasets What we're looking for 5 to 15 years of backend engineering experience, most of it in Python, in production environments A track record of building and personally owning APIs or services used by real customers, not just maintaining systems someone else designed Time spent at a startup or scaleup (roughly 30 to 100 people), not exclusively large corporate environments Hands on experience shipping AI or LLM features to production: agentic workflows, RAG, or tool use Strong SQL and solid experience with PostgreSQL or an equivalent relational database A genuine preference for staying hands on and coding day to day rather than moving toward management Based in Europe (outside France and the Nordics); if based in London, comfortable working from the office five days a week Bonus: experience with columnar databases (ClickHouse, Redshift, Snowflake) or general DevOps/infrastructure skills The company An alternative data and private market intelligence platform, giving investors real-time data and AI-driven analysis to make faster, better-informed decisions. Used by hundreds of leading VC and PE firms across Europe and beyond. Small, fast-moving engineering team of around thirty people, still shaped day to day by its founders. Equity participation (ESOP) after six to nine months. Languages: English (fluent, working language of the team)

London, England, United Kingdom Software and Services Software Engineer - Triage Intelligence and Debug Engineering The Triage Intelligence and Debug Engineering team operates at the deepest layers of Apple's software stack, with a mandate that spans the entire product ecosystem. The work we do directly shapes the reliability of over 2 billion active Apple devices - every crash triaged, every panic root-caused, and every automated pipeline we build contributes to the OS stability that hundreds of millions of people depend on every day. We partner closely with engineering teams across Apple to drive that reliability end-to-end, influencing how the entire organization detects, understands, and resolves systemic failures. Description We are looking for a curious and motivated Software Engineer with a passion for OS internals, automation, and intelligent systems. The impact of this role is broad and direct - your investigations will uncover failures affecting Apple's entire device ecosystem, your contributions will touch software running across iPhone, Mac, and Apple Silicon, and the automation pipelines you help build will shape how reliability engineering scales across Apple. You will dig into the operating system to understand the true origin of crashes and panics - not just the symptom at the top of a stack trace, but the underlying system-level conditions that caused it. You will operationalize that understanding by encoding triage logic into automation pipelines, and explore how ML and AI techniques can make those pipelines smarter over time. You will collaborate across Software, Hardware, and Silicon Engineering teams to drive issues all the way to resolution. This role is a strong fit for an engineer who is eager to learn how operating systems work at a deep level, excited to build scalable automation and intelligent tooling, and motivated by seeing their work have real, measurable impact. Responsibilities Triage crashes and panics across Apple's OS stack by analyzing crash logs, kernel panics, and core dumps to isolate root cause Collaborate with Software, Hardware, and Silicon teams to propose fixes, close coverage gaps, and drive issues to resolution Encode triage logic into automation pipelines so future instances are classified and escalated without manual intervention Apply ML and AI techniques - crash clustering, anomaly detection, pattern recognition - to build smarter triage pipelines Build debug tooling, scripts, and CI/CD integrations that surface OS-level signals and validate platform stability at scale Minimum Qualifications Foundational understanding of OS internals: process and thread lifecycle, virtual memory, scheduling, synchronization, and system calls Ability to read and reason through crash reports and kernel panics - backtraces, register state, and basic memory analysis Hands-on experience with debugging tools such as LLDB, GDB, or InstrumentsProficiency in Python for scripting, automation, and test infrastructure Preferred Qualifications Working knowledge of C and/or Swift for debug tooling or system-level development Exposure to automation frameworks, CI/CD pipelines, or scalable test systems Experience applying ML or AI techniques to systems problems - crash clustering, log anomaly detection, failure classification, or intelligent alert prioritization Familiarity with LLMs or generative AI tooling in an engineering context - prompt engineering, RAG pipelines, or AI-assisted debugging workflows Prior coursework or project experience in OS internals, systems programming, or low-level debugging Familiarity with Apple platform internals: XNU kernel, Darwin subsystems, IOKit, libdispatch, or dyld Contributions to automation frameworks or developer tooling that improved engineering productivity Experience or interest in collaborating across silicon, firmware, or platform systems teams Enthusiasm for building tools and systems that empower other engineers At Apple, we're not all the same. And that's our greatest strength. We draw on the differences in who we are, what we've experienced and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. As a registered Disability Confident employer, we will work with applicants to make any reasonable accommodations. Apple will consider for employment all qualified applicants with criminal backgrounds in a manner consistent with applicable law. Learn more At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong. Learn about accessibility in Apple's workplace

Role: Data Science Consultant Location: London, UK Type: FTE Mode: Hybrid Role Overview We are seeking a highly consultative Data Science Consultant with strong insurance industry experience. The role requires a blend of business consulting and hands-on delivery, with approximately 60% of time spent engaging with business stakeholders and 40% spent building and delivering data science and AI solutions . Key Responsibilities Business Consulting (60%) Engage with business stakeholders to understand strategic objectives, challenges, and opportunities. Facilitate discovery workshops and requirements-gathering sessions. Translate business problems into data science, AI, and analytics use cases. Present solution approaches, prototypes, and recommendations to business and executive stakeholders. Act as a trusted advisor, helping clients prioritise initiatives and define measurable business outcomes. Work closely with underwriting, claims, pricing, risk, and customer operations teams. Drive adoption of AI and analytics solutions through effective stakeholder management and communication. Solution Development (40%) Design and develop predictive, machine learning, and Generative AI solutions. Build prototypes, proof-of-concepts, and production-ready analytical models. Perform data exploration, feature engineering, model development, and validation. Collaborate with data engineers and architects to operationalise solutions. Ensure solutions follow Responsible AI, governance, and security best practices. Support deployment, monitoring, and continuous improvement of models. Required Experience 10+ years of experience in Data Science, AI, Machine Learning, or Advanced Analytics. Demonstrable experience working within the Insurance industry . Strong understanding of insurance domains such as Claims, Underwriting, Pricing, Risk, Policy Administration, or Customer Experience. Experience leading business discussions and consulting engagements. Ability to communicate complex technical concepts to non-technical audiences. Strong stakeholder management and presentation skills. Technical Skills Python, SQL, and modern data science toolsets. Machine Learning and Predictive Analytics. Generative AI, LLMs, RAG, and Agentic AI frameworks. Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Databricks, or equivalent cloud platforms. Data visualisation and storytelling tools such as Power BI. MLOps and model lifecycle management. Preferred Qualifications Experience in client-facing consulting roles. Exposure to cloud-based AI and analytics platforms. Understanding of Responsible AI and governance frameworks. Relevant certifications in Azure AI, Data Science, or Cloud technologies. Success Profile Strong communicator who can influence business stakeholders. Equally comfortable in boardroom discussions and hands-on solution development. Able to bridge business strategy and technical implementation. Passionate about using AI and data science to solve complex insurance business challenges.

Gravitee is a 2025 Gartner Magic Quadrant Leader, on a mission to govern the world's intelligence. We deliver the industry's most advanced platform for Any API, Any Event, and Any AI Agent, trusted by global leaders like Michelin, Roche, and Blue Yonder. The Mission: We are the first to bridge traditional API Management with the new frontier of AI Agent Security The Momentum: A high-growth Leader - combining market credibility with startup speed The DNA: We hire people who Hold Nothing Back - passionate builders who want to redefine digital infrastructure Don't just watch the AI revolution. Build the infrastructure that controls and secures it. The Role As agent governance goes mainstream, Gravitee is taking APIs, event streams, and AI networks to the next level. As a Technical Account Manager (TAM), you are the post-sales technical owner for a tiered portfolio of enterprise accounts: hands-on depth with your top-tier customers, structured cadences across the rest. Your first mission with every new customer is production in under six months; after go-live you are their technical thought leader, keeping them successful, adopting, and growing. What you'll be doing: Onboard to Production: Guide new customers from signature to production in under six months through architecture guidance, best practices, and use case design, working alongside an onboarding manager and FDE/PS or partner delivery. Run a Tiered Portfolio: Prioritise deliberately across a book of enterprise accounts, judge where your time creates the most value, hold scope, and route work to the right team when it is not yours to absorb. Own the Advisory Rhythm: Deliver QBRs, release briefings, and technical roadmaps, and drive value realisation against each customer's ROI targets. Growth & Retention: Spot expansion and usage signals early, feed them to the account team, and protect retention across your book. Customer Advocacy: Champion your customers inside Product and Engineering, with business impact attached, through our structured feature request process. Field Contribution: Strengthen the wider team with demos, reusable assets, architecture design, and enablement content. Values Advocacy: Ensure customer interactions live and breathe Gravitee core values: Passion, Hold Nothing Back, and Professionalism. Your impact will be visible, measurable, and global. Vendor-Side Experience: A customer-facing technical role at a SaaS or infrastructure vendor (TAM, post-sales Solution Architect, Solution Engineer, or PS) with a working grasp of the vendor motion: value realisation, retention, and expansion. Portfolio Management: Proven experience managing a book of enterprise accounts, with concrete examples of prioritising under competing demands. Platform Depth: Real depth in APIs, integration, and cloud-native platforms, with hands-on implementation experience using Docker and/or Kubernetes. Security & Standards Fluency: Solid understanding of API security and IAM protocols, including OAuth2, OIDC, JWT, and SSO. Executive Communication: Exceptional ability to communicate from engineer to executive, briefly and clearly, and to build trusted advisory relationships. Boundary Discipline: Able to scope an engagement, hold it, and upscale? Willing to travel to customer sites one to two times per month. Desired Skills Kafka or event-streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup or scale-up experience. Additional European languages are a plus. Who Thrives at Gravitee At Gravitee, our growth is powered by people who bring passion to what they build, act with professionalism in how they work, and hold nothing back in their commitment to doing things well. You'll do well here if you: Care deeply about quality, clarity, and impact Are curious, adaptable, and excited by emerging technologies like AI Take ownership and follow through Value collaboration, openness, and continuous improvement Bonus points if you've worked with APIs, cloud-native platforms, AI-enabled systems, or open source, but curiosity matters most. Life at Gravitee At Gravitee, we invest in humans, not just roles. You'll get: Competitive medical coverage Pension / 401k program options Stock options - you build it, you own it 25 days holiday + in-country national holidays 3 mental health days + wellness allowance Your birthday off Professional development budget to fuel your growth Hybrid work culture with hubs across regions Quarterly team events + annual offsite at an exciting location A meaningful, progressive, global company culture that is as fun as it is hardworking Endless growth opportunities At Gravitee, we believe diverse perspectives make better products and stronger teams. At Gravitee, no employee or applicant will be treated less favorably on the grounds of sex, marital status, race, color, nationality or ethnic or national origin, disability, gender, sexual orientation, gender identity, age, pregnancy or maternity, marital or civil partner status, or religion or belief.

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services. We're looking for a Senior Machine Learning Engineer to join the Consumer Gen AI Product MLE team at Snap! What you'll do: Develop ML-products and AI Lenses that serve millions of Snapchatters on a daily basis, with a primary focus on image and video generation and editing, as well as LLMs Build cutting-edge augmented reality experiences with diffusion/flow matching models Work on state of the art GenAI pipelines for image and video generation. Ship a consumer- facing solution within weeks Extensively collaborate with Product, Software Engineering, Lens Content and Data Science teams to prototype new ideas, integrate ML models and APIs into production, and refine them through A/B testing and user feedback Actively monitor the market and research landscape for new developments in Gen AI, evaluate open-source models and third-party AI APIs/services to inform build-vs-buy decisions to leverage the best available tools (or iterate on them) to keep Snap's products at the cutting edge Evaluate open-source Gen AI models and APIs Knowledge, Skills & Abilities: A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly Knowledge of mathematics and deep learning foundations Excellent verbal and written communication skills, with meticulous attention to detail Ability to work independently Ability leading and executing large, complex technical initiatives Minimum Qualifications: Strong background in Machine Learning Strong programming skills in Python or C++ Bachelor's Degree in a technical field such as computer science, mathematics, statistics or equivalent years of engineering experience in one or more of the following: neural rendering, generative models, segmentation, object detection, classification, tracking, or other related applications of deep learning or computer vision Preferred Qualifications: Knowledge of computer graphics foundations Experience with visual Gen AI models for Image and Video generation and Editing Experience with evaluating the visual quality of Image and Video models Track record of successful projects in GenAI field Ability to proactively learn new concepts and apply them at work If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!