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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!

A leading UK healthcare technology provider that supports healthcare organisations in delivering safer, more efficient, and patient-centric care. The organisation is investing heavily in Artificial Intelligence and is expanding its AI capabilities to develop innovative solutions that enhance clinical workflows, operational efficiency, and patient outcomes. The company is seeking an experienced AI Engineer to join its growing technology team and help drive the development of cutting-edge AI-powered healthcare applications. Responsibilities Design, develop, and deploy AI-powered features and applications within the organisation's healthcare technology platform. Build and implement Large Language Model (LLM), Generative AI, and Agentic AI solutions in production environments. Develop and manage multi-agent workflows to support complex business and clinical use cases. Implement AI solutions using modern orchestration frameworks and Model Context Protocol (MCP). Design and develop scalable AI services and data processing solutions using Python and related technologies. Build and maintain Retrieval-Augmented Generation (RAG) solutions and vector database architectures. Develop real-time AI applications, including speech-to-text and streaming AI interaction capabilities. Integrate AI capabilities with existing backend and frontend systems. Design, test, evaluate, and optimise prompts to improve the accuracy, safety, and performance of AI systems. Ensure all AI solutions are secure, scalable, reliable, and production-ready. Collaborate closely with engineering, product, and subject matter experts to deliver impactful AI initiatives. Stay current with emerging AI technologies, tools, frameworks, and industry best practices to drive continuous innovation. Qualifications and Skills 5+ years of software development experience in commercial environments. Proven experience designing and deploying LLM-based applications, Generative AI solutions, and Agentic AI systems. Experience working with multi-agent architectures and AI orchestration frameworks such as LangChain, Semantic Kernel, or AutoGen. Hands-on experience with Model Context Protocol (MCP) implementations. Strong understanding of vector databases and technologies such as Pinecone, Weaviate, FAISS, or Azure AI Search. Experience building and supporting Retrieval-Augmented Generation (RAG) solutions. Experience working with OpenAI and other modern AI platforms. Expertise in prompt engineering, prompt evaluation, and optimisation techniques. Experience developing real-time AI and audio-processing pipelines. Experience deploying AI applications in cloud environments, ideally Microsoft Azure. Strong problem-solving and analytical skills with the ability to deliver practical, production-grade solutions. Excellent communication and collaboration skills, with the ability to work effectively across multidisciplinary teams. Demonstrated passion for AI innovation and a commitment to continuous learning in a rapidly evolving technology landscape. Halian Group With over 28 years of experience, we have come to understand that innovation is the only way to provide agile, practical solutions that transform businesses and careers. Our resourcing and smart services help you to realise tomorrow's potential. Discover the amazing things possible when you bring the right people and the right technologies together. At Halian, we recognise that diversity, equity, and inclusion (DEI) are essential to building high-performing teams for our clients. We are committed to connecting organisations with top talent from all backgrounds, ensuring that every individual feels valued, respected, and empowered to contribute their unique perspectives. We encourage applications from all qualified candidates, regardless of race, gender, disability, or any other characteristic that makes them unique. By fostering diverse and inclusive workplaces, we help our clients drive innovation, enhance collaboration, and better reflect the communities they serve.

Build the multi-agent systems that automate work banks currently do by hand. You'll own the orchestration, the auditability, and the evals that make our agents trustworthy. Mid-senior IC 3 days/week in office Visa sponsorship available Thanks for taking the time to consider Tuza. When joining a company at the early stages of its growth story, there's often more than meets the eye. This is our opportunity to help you understand why your next role should be with us. We're based in Shoreditch, spend three days a week in the office, and can sponsor visas for the right candidate. Diversity is a priority for us. We build a better product when the people building it don't all think the same way. If you're still unsure at the end, drop into our offices in Shoreditch and see it for yourself. What we do We build AI agents for banks, taking on the manual work that stops them from growing. Every business that comes to a bank for a financial product gets passed from team to team, sales to onboarding to activation, and so on. Right now, every one of those teams is only ever as fast as the number of people in it. Our agents do that work without the ceiling. To be trusted with it in a bank, they have to be accurate, quick, and accountable, with auditability, explainability and security built in rather than an afterthought. That's what makes banks the hardest place to attempt this, and the place where getting it right is worth the most. Where we're at We've raised $7 million from Northzone, Connect Ventures and TriplePoint, and work with acquiring banks including Worldpay, Barclaycard and NatWest. We're earlier than that list makes us sound. The problem is real, and banks are already paying us to solve it. We're still experimenting with the product that best surfaces our value, and that's a large part of this job, rather than something that will be handed to you finished. Doing that work is a small but driven team of 12 based in our Shoreditch office who care about their work and its impact. There's also something you might already know us for. We built the UK's first payments price comparison platform, helping small businesses compare providers. It still runs today on MoneySuperMarket, Uswitch and money.co.uk. You won't be working on it, but it's why we know this market so well. How we work Extreme ownership: you own the outcome of your work, not just the output. If you see something broken or missing, you have the freedom and the responsibility to fix it. Learning velocity: curious, adaptable, and quick to pick things up. Hard problems require grit, and we embrace them. Customer-centric: we spend a day a week inside our partner banks, watching problems happen before they're even reported. Product decisions get made in that room, not in a roadmap meeting. Open and direct: we communicate openly, directly, and with intent. What you'll do Develop and optimise AI agents for live banking workflows Design review gates, fail-safes, and fallback behaviour Build the observability and feedback loops behind agent performance Spend time with our partner banks in their offices, and turn what you see there into product changes What we look for We're hiring mid- to senior-level individual contributors with at least 4 years' experience. Exceptional Python and experience orchestrating LLMs with tools like Temporal or LangChain AI automation shipped and running in production A record of making agents reliable and efficient Fluency with data pipelines and integrations We're an early-stage and intentionally lean. That means: We judge impact by the outcome of work, not the output Priorities shift when we learn something new, and we try to communicate why, but it happens You'll be given a direction, and the plan is yours to work out This suits people who are comfortable with ambiguity, ask early when context is missing, and would rather ship something good enough fast than perfect something late. It's less suited for those who prefer clear hierarchies, detailed briefs, or predictable roadmaps. That's not a character flaw; we just don't offer that yet. Probation is a mutual check-in. We give feedback as we go, and we expect the same in return. If the fit isn't there, we'd rather know at month two than month six. How you'll be assessed Our aim is to get candidates through the whole process within two weeks of applying - quick enough to respect your time, thorough enough to keep our standards high. 20-minute intro call to talk through your background, what you're looking for, and how we work 40-minute technical interview digging into products you've built and the decisions behind them 3-hour technical assessment, ideally at our Shoreditch office but remote works too 30-minute conversation with our CEO, Ed, to close things out and answer anything still on your mind What's in it for you A competitive salary and generous equity Three days a week in our Shoreditch office, Tuesday to Thursday, and the rest wherever you work best 25 days holiday, with flexibility when you need it £350 a year towards taking a proper break £350 a year towards learning or a hobby Smart, kind colleagues who care about the work Soundbaths, terrarium making, saunas, cooked breakfasts, barbecues on the rooftop and the occasional Mario Kart tournament

Description GlobalLogic is building AI-first enterprise solutions that help global clients transform their digital platforms and products. As a Senior/Lead AI Engineer, you will own and drive the development of our core agentic frameworks, evaluation pipelines, and observability tooling to ensure they operate with safety, trust, and intelligence at scale. You won't just be integrating AI into a product, you will lead the engineering systems that make these technologies trustworthy, robust, and scalable for enterprise clients. We are looking for a Senior/Lead AI Engineer to provide technical leadership and architectural direction to our AI engineering team. In this role, you will be responsible for designing high-performance multi-agent systems, establishing robust evaluation standards, and mentoring other engineers to build production-grade, LLM-backed applications. Requirements 5+ years of software engineering experience, including hands-on experience shipping agentic or LLM-backed systems that are used in production. What You'll Bring AI DLC experience: Demonstrated experience with AI Development Life Cycle practices and methodology. Orchestration: Production, hands-on experience with an agentic framework such as LangGraph, plus familiarity with MCP-based tool orchestration. Exposure to AutoGen, LlamaIndex, or CrewAI is a plus. Production Python engineering: Clean, modular, testable, maintainable code - you care about system reliability as much as model output. Evaluation & observability: Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations: Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure. Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale. What We're Solving Together Hallucination Reduction: Designing deterministic verification loops for enterprise outputs to guarantee factual reliability. Latency Optimization: Cutting round-trip time across complex, multi-agent workflows to achieve real-time responsiveness. Governance Automation: Building "Policy Agents" that turn static regulatory policies into real-time, automated compliance enforcement guardrails. Job Responsibilities Architect Agentic Systems: Design, implement, and govern multi-agent architectures that serve as the foundational framework for our development teams. Lead Eval-Driven Development: Establish, own, and scale the evaluation harnesses and CI/CD pipelines that measure accuracy, hallucination, and performance before any model or system ships. Optimize Performance at Scale: Strategically tackle complex challenges like RAG latency optimization, context-window management, and intelligent information routing under enterprise-level production load. Build Observability & Governance: Define and build real-time monitoring, tracing, and guardrail compliance tools to guarantee system transparency and policy enforcement. Technical Leadership & Mentorship: Lead technical design reviews, set coding standards, and actively mentor mid-level and junior engineers on the team. Cross-functional Collaboration: Partner with product managers, client executives, and cloud infrastructure teams to align technical delivery with strategic product goals. What We Offer Our goal is to build an inclusive positive culture where everyone can feel comfortable being themselves, empowering people to create their own high standards and therefore more value. We work together to promote fairness while recognising, valuing and embracing differences - providing a transparent support structure and generous training budget to help our people develop skills to progress their career. Our region supports a hybrid model that can flex across a wide spectrum of working options determined by business, customer and individual needs. You'll benefit from a comprehensive health and wellness plan, private healthcare (clinical and mental wellbeing), discounted gym memberships, and in office yoga sessions and massages. We offer a fantastic benefits package including a competitive pension scheme and recognition schemes through bonus/reward initiatives. Colleagues are entitled to an annual volunteering day - so you can take time to support a cause close to your heart. We also love to stay social with trips to the zoo, quiz nights, sports events, theatre trips and much more. We are an equal opportunities employer. It is our policy to promote an environment free from discrimination, harassment and victimisation, and we actively welcome applications from people with a disability or long-term health condition. As users of the Disability Confident scheme, we guarantee to interview all disabled applicants who meet the minimum essential criteria for this vacancy. We are committed to providing reasonable adjustments. If you require any adjustments for the application process, the interview, or the job itself, or if you need this information in an accessible format, please contact . About GlobalLogic GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world's largest and most forward-thinking companies. Since 2000, we've been at the forefront of the digital revolution - helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

We're looking for a Senior AI Engineer - Agentic AI to join our team in London, UK in a hybrid working mode. In this role, you will design and build scalable agentic AI platforms that integrate Large Language Models (LLMs), multi-agent orchestration and retrieval-augmented generation (RAG) patterns into production-ready enterprise solutions. You will focus on creating reusable platform components, orchestration engines and governance frameworks that allow complex AI workflows to operate securely and efficiently at scale. You will be responsible for developing advanced orchestration capabilities, implementing evaluation and observability tooling and embedding enterprise controls for compliance and safety. If you are passionate about innovating with AI in real-world applications and scaling intelligent systems, this role offers an opportunity to make a significant impact in production-grade AI engineering. Responsibilities Design, build and deploy Generative AI and Agentic AI solutions from prototype to production Implement multi-agent orchestration patterns using frameworks such as LangGraph, CrewAI, AutoGen, Semantic Kernel or OpenAI Agents SDK Develop the orchestration backbone for advanced workflows including planning, checkpointing, retries, fallback handling and resumption of long-running processes Build and optimize RAG pipelines, including chunking strategies, embeddings, vector/hybrid search and retrieval evaluation with grounded responses and citations Develop memory and context management solutions, including short-term and long-term stores and compaction strategies Write robust Python APIs and services (e.g., FastAPI), incorporating async execution, background jobs and containerized deployments Integrate enterprise systems and tools using protocols such as MCP, A2A, OpenAPI, REST and gRPC, ensuring graceful degradation and retries Apply enterprise security and governance practices including RBAC, prompt safety checks, traceability and secrets management Implement evaluation pipelines and observability frameworks using tools such as Langfuse, Arize or OpenTelemetry Contribute to architectural design decisions, code reviews and engineering standards for platform development Requirements Bachelor's or Master's degree in Computer Science, Engineering or related field (PhD is a plus) Practical experience delivering Generative AI or Agentic AI systems into production environments Expertise in Python engineering for APIs, microservices, testing and CI/CD workflows Strong working knowledge of LLM capabilities, including prompt design, structured outputs, tool calling and retrieval strategies Hands-on experience with agent orchestration frameworks (LangGraph, AutoGen, CrewAI or Semantic Kernel) Proven experience with RAG implementations, embeddings and vector database integrations Familiarity with stateful or long-running systems, including checkpointing and resumable workflows Cloud deployment experience (Azure preferred), using services such as Azure OpenAI, AI Foundry or AI Search, with Docker and Kubernetes Understanding of schema validation frameworks (e.g., JSON Schema, Pydantic) and MLOps tools such as MLflow or Airflow Strong communication ability to explain trade-offs around cost, latency and accuracy to technical and non-technical audiences Nice to have Experience using Azure AI Foundry or Microsoft Agent Framework Knowledge of MCP and A2A protocols for agent and tool interoperability Hands-on work with vector databases like Pinecone, Weaviate, Qdrant or pgvector Familiarity with distributed systems, workflow engines (Temporal, Airflow or Dagster) and event-driven architectures Experience with open-source LLMs or Small Language Models for custom deployments Knowledge of AI safety and governance: guardrails, output filtering and red-teaming practices Background in fine-tuning or adapting foundation models (e.g., LoRA, distillation) for domain-specific tasks We offer EPAM Employee Stock Purchase Plan (ESPP) Protection benefits including life assurance, income protection and critical illness cover Private medical insurance and dental care Employee Assistance Program Competitive group pension plan Cyclescheme, Techscheme and season ticket loans Various perks such as free Wednesday lunch in-office, on-site massages and regular social events Learning and development opportunities including in-house training and coaching, professional certifications, and courses If otherwise eligible, participation in the discretionary annual bonus program If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program