69 jobs found

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners Represent Capital One in external ML/AI technical forums, contributing to industry discussions Develop and advocate for strategies to proactively manage technical debt across ML/AI systems Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for Deep expertise in Python and ML engineering Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures Track record of leading ML/AI technical initiatives across multiple teams Strong experience with cloud platforms (AWS, Azure, GCP) Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems Experience designing and scaling low-latency, customer-facing ML/AI architectures Proven experience setting a multi-team ML/AI technical vision and strategy Strong track record of technical leadership and influence without authority Experience driving ML engineering standards and best practices across organisations Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems Experience leveraging enterprise platforms to deliver business use cases at scale Experience of steering Communities of Practice or technical forums Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name

To accelerate AI adoption and maximize the efficiency of our internal processes across our engineering teams, we are seeking a Senior Machine Learning Engineer who combines deep expertise in LLMs, MLOps, and agentic AI with the credibility and communication skills to drive change across a multi-domain, distributed engineering organisation.# Senior Machine Learning Engineer (all genders welcome) - AI platform and developer tools force multipliers for our engineering teams. This role This is a hands-on technical role, but also suits someone able to earn trust through demonstrated expertise, bring people along through clear communication, and navigate the organisational complexity of rolling out new tools and practices across distributed teams with different tech stacks and priorities.Your first major project will be leading the technical implementation of an AI-assisted development initiative. Tasks may be evaluating and configuring our AI tool stack, building the retrieval and context systems that make those tools useful for our codebase, and instrumenting the metrics that prove the value.Develop and maintain reusable system prompts for common engineering tasks and complex technical domains.Run training sessions, document best practices, and build the internal knowledge base that raises the AI capability of the whole organization. Several years of leadership as Technical Lead or Engineering Manager in ML; 5+ years of ML engineering experience. Proven track record designing, building, and operating scalable production ML systems and software platforms with measurable business impact. Experience building platform and infrastructure tools for other engineering teams and defining development processes and workflows. Excellent Python skills, hands-on cloud experience (Azure/AWS/GCP), and strong MLOps practice (CI/CD for ML, versioning, monitoring, automation). Deep understanding of modern LLM architectures (transformers, attention) and extensive production experience with foundation and embedding models. Proficiency with agentic frameworks, multi-agent system design, and advanced prompt engineering. Excellent communication skills to convey complex technical topics clearly to diverse stakeholders. Strong influence through expertise, ability to lead without formal authority, and collaborative mindset in complex organizations. High autonomy and comfort with ambiguity, combined with a servant-leadership mindset focused on enabling other engineers. Resilient, pragmatic approach with evidence-based iteration in emerging technology areas. Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Flexible working time, working time accounts and Home Office possible An open, informal corporate culture, where we celebrate success with social events Depending on the hiring location you may also benefit from local benefits

Driving Innovation and Trust: Ten's Journey to Redefine Service Excellence Ten is on a mission to become the most trusted service business in the world. Technology-driven Product is at the centre of our strategy to create a hugely successful service and business. Millions of members already have access to Ten's services across lifestyle, travel, dining and entertainment on behalf of over fifty clients including HSBC, Swisscard, Visa, Mastercard and American Express. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees. We have the advantages of already being at scale globally with a critical mass of high-net-worth members via stable, multi-year revenue-generating contracts. We already have a market leading consumer proposition and credibility (and many integrations) with the leading suppliers/partners across our 'big 4' service categories of restaurants, travel, entertainment and luxury retail. We are debt free, profitable and the first B Corp listed on the London Stock Exchange (AIM market). Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives. The next few years will see Ten speed up our progress via our Growth Engine strategy making the next huge steps to achieve our ambitions together. For more information about Ten, please check out the Welcome to Ten video and this article. The role We are a growing team navigating an exciting phase of digital transformation. We're expanding our Product Management function and are looking for a Senior Product Manager. You will work closely with Product Design and Engineering across Cape Town, London - UK, and Katowice - Poland, bringing a strategic, user centric focus to our Products. There will be ambiguity as we define our best practices, but for the right Product Manager, this is a unique opportunity to shape how product operates at a global scale without being micromanaged. With an inventory of over 650,000 hotels, 70,000 restaurants, and global event tickets, helping our members find exactly what they want is a massive challenge. You will own the "Discovery" experience: Search, Merchandising, Ranking algorithms, and Personalization, leveraging AI to surface the perfect recommendations. Key Responsibilities Strategic Ownership: Define the long term vision and roadmap for the search and discovery experience across the platform, optimizing ranking algorithms to ensure highly relevant, premium results. AI & Personalization: Champion the use of member data and AI/ML to build dynamic, personalized discovery feeds, surfacing relevant content, offers, and inventory proactively. Merchandising Innovation: Build robust tools and features that allow us to highlight curated collections, seasonal campaigns, and exclusive partnerships effectively. Data Driven Leadership: Define and track core discovery metrics (e.g., search to click, click to book, zero result searches) and run rigorous, complex experiments to improve content discoverability. Cross Functional Mentorship: Partner closely with Data Science, Engineering, and Design to turn massive datasets into an intuitive, luxurious browsing experience, while mentoring junior PMs on best practices. Minimum Experience: You have at least 5+ years of experience in product management, with a strong, proven background in search, e commerce merchandising, or algorithmic personalization at scale. Mastering Ambiguity: You excel in environments where processes are evolving. You have a proven track record of bringing order to complex, ambiguous problem spaces and setting strategic direction. Executive Communication: You are an expert collaborator and communicator. You know how to align C level stakeholders, push back constructively, and negotiate highly complex technical architectures with Engineering leads. Strategic Vision: You define the strategy. You anticipate market trends and business needs, diving deep into data to uncover transformative product opportunities. Analytical Rigour: You are deeply comfortable with data science concepts and understand how to measure and optimise the success of complex ranking and machine learning features. Fluent in English. Guidelines for Hybrid/Home Office Located in London. Please note that you will be asked to enter into a hybrid working arrangement - at least 2x a week in the office. A secure home office at your confirmed address, free from background noise or other distractions. You must meet our minimum internet speeds if you want to work in our hybrid model and this will be checked during the recruitment process and again when you join. We also have a great office that you can work from as an alternative. Rewards designed around you Competitive salary depending on experience. Hybrid working: You can combine working from home and working from the office. Paid time away from work: Our employees enjoy a competitive paid time off package, including a paid day each year to volunteer time for a good cause that is important to them. Paid Sabbaticals: One (1) month paid sabbatical after every 5 years of Service, without tapping into annual leave. Extra Rewards: Lucrative Ten Loyalty Rewards program which includes a bonus and gift to say thank you for being part of Ten. Remote Working Holidays: possibilities to travel and work anywhere in the world! Employee Discounts: Access to lots of great travel and entertainment discounts as our clients' members would! Be part of our global, dynamic, and inclusive team, with diversity at its core. Genuine career opportunities within a dynamic and international company. Commitment to Diversity We encourage diverse philosophies, cultures, and experiences. We appreciate diversity and are dedicated to creating an inclusive work environment for our employees. This idea unites the teams at TEN. All aspects of our relationship, including the decision to hire, promote, discipline, or terminate, will be based on merit, competence, performance and business needs.

# Senior Consultant - Data ArchitectLocation: London, United KingdomEmployment Type: Full-TimeIndustryJob Family: TechnologyCareer Level: Experienced Architect and implement end-to-end data solutions that address complex business problems, from data ingestion and processing to analytics and visualisation Collaborate with cross-functional teams to design, develop, and maintain scalable data pipelines and ETL processes to support analytics, business intelligence and data science initiatives Design data solutions that integrate both modern and legacy platforms, ensuring seamless data flow and accessibility Develop and maintain conceptual, logical, and physical data models (dimensional, relational, and/or data vault) Establish architectural best practices covering security, performance, scalability, and cost optimisation Design and own end-to-end data architecture solutions aligned to business and technology strategy Provide technical leadership, architecture governance, and design documentation across data initiatives Develop and maintain data models, schemas, and metadata repositories Implement robust data quality frameworks and governance policies to maintain data integrity, security, and compliance throughout the data lifecycle Leverage AI technologies to enhance data solutions through intelligent automation, anomaly detection, and predictive data quality monitoring, while ensuring ethical AI practices and governance Translate complex data insights into compelling visual narratives and actionable recommendations for both technical and non-technical stakeholders Adopt and communicate new concepts, ideas, techniques, and best practices, including prototyping new architecture methods, tools and products that might provide future value to our clients IDEALLY, WE'D LIKE: Total Rewards associated with this position include a comprehensive benefits package designed to support your well-being and financial security. Unique perks include flexible time off, a private medical plan, a health cash plan, a workplace savings scheme (including ISAs and GIAs), and enhanced parental leave. Applicants must be authorized to work in the United Kingdom, without the need for visa sponsorship by North Highland. Work visa sponsorship will not be provided, either now or in the future, for this position. North Highland is an equal opportunity employer, and we adhere to all applicable laws and regulations to ensure a fair and equitable workplace. All qualified applicants will receive fair and impartial consideration without regard to race, color, sex, gender identity, religion, national origin, age, sexual orientation, disability, veteran status, or any other characteristic protected by law. We handle all information in accordance local privacy standards and maintain strict confidentiality.This role is primarily responsible for delivering data and analytics work using modern data platforms and analytical techniques. YOU WILL: MAKE STRATEGY A REALITY ACCELERATE YOUR GROWTH CHOOSE YOUR PATH As the world's leading change and transformation consultancy, we're helping businesses move from strategy to reality by taking a pragmatic and practical approach to build solutions that last. We're seeking a Senior Consultant - Data Architect in London in Technology & Data to help us take vision to value and create lasting impact. SUMMARY Bachelor's or foreign equivalent degree in computer science, computer engineering, data engineering, or a related field 5+ years of experience in data engineering, including designing and implementing ETL processes, data pipelines, and data storage solutions, ideally with 2+ years of experience leading data engineering projects or workstreams Extensive experience with cloud platforms and their data services, with relevant cloud data engineering certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate) Knowledge of data governance principles and best practices Experience working with data visualisation techniques and tools (e.g., PowerBI, Tableau, Looker) and deploying enterprise-wide analytics dashboards Experience with AI and machine learning integration in data solutions, including working knowledge of AI governance frameworks and ethical considerations Demonstrated ability to translate data insights into business value and communicate complex technical concepts to executive stakeholders Strong ability to work independently and collaboratively in a dynamic, hybrid environment Strong communication skills and ability to translate complex technical concepts to non-technical stakeholders Travel: regional travel expected on an as-needed basis, depending on client needs, up to 50%

Director, Machine Learning Science - Content AI Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools that deliver high-quality experiences for travelers, partners, and our employees. A single technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Introduction to the Team We're seeking a Director of Machine Learning Science to lead our Content AI strategy and execution. In this pivotal role, you will move beyond traditional ML applications to architect the next generation of our Content Engine. You will leverage Large Language Models (LLMs), Multimodal Modality, Agentic Workflow to ensure that every image, review, property description, and video is not only relevant but inspiring, safe, and hyper-personalized. Responsibilities Define the Content AI Strategy: Establish the technical roadmap and OKRs for the Machine Learning systems that power Content Generation, Content Moderation, and Content Relevance across our global ecosystem. Lead AI Innovation: Spearhead the deployment of cutting edge AI solutions (LLMs, Diffusion Models) to automate content creation (text, image, video) and summarization, enhancing discovery on both app and web platforms. Pioneer Agentic Workflows: Drive the research and development of autonomous AI Agents capable of reasoning over vast content repositories to answer complex traveler queries and perform multi-step planning tasks. Master Content Relevance & Safety: Oversee the development of models that rank and personalize content to improve conversion and loyalty, while simultaneously building robust automated moderation pipelines to ensure brand safety, trust, and quality at scale. Bridge the Gap between Research & Product: Prioritize efforts between foundational platform migration/optimization and cutting edge experimentation with new GenAI features. Influence & Collaborate: Foster cross functional partnerships with Product, Engineering, Legal, and Supply teams to integrate AI generated content into the core user experience seamlessly. Build a World Class Team: Recruit, mentor, and manage a high performing team of Applied Scientists and AI Engineers, fostering a culture of technical excellence and rapid experimentation. Minimum Qualifications Graduate degree (PhD preferred) in Computer Science, Artificial Intelligence, Computational Linguistics, or equivalent experience. 12+ years of experience in Machine Learning Science with a specific focus on NLP, Computer Vision, or Recommender Systems. 5+ years of people management experience, with a track record of leading high performing science teams in a tech first environment. Hands on experience with Generative AI technologies (e.g., Transformer architectures, LLMs like LLaMA/GPT, RAG pipelines, PEFT/LoRA fine tuning). Understanding of hallucination, latency, and cost optimization. Proven experience in the Content ML/AI space, specifically regarding Content Understanding, Moderation, Generation, and Relevance, creating rich and immersive user experiences. A proven track record of taking high risk, high reward ML projects from proof of concept to large scale production serving millions of users. Preferred Qualifications Agentic AI Experience: Experience building and deploying Agentic workflows with tool use, planning, and reasoning capabilities. Ability to translate complex AI concepts into clear business value for executive stakeholders. Pay Range: Total cash base $242,000.00 to $338,500.00 in San Jose. Potential to increase salary up to $387,000.00 based on performance. Starting pay varies by location, budget, and experience. Benefits: medical/dental/vision, paid time off, Employee Assistance Program, wellness & travel reimbursement, travel discounts, International Airlines Travel Agent membership. View our full list of benefits. Accommodation Requests If you need assistance with any part of the application or recruiting process due to a disability or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Cognite operates at the forefront of industrial digitalization, building AI, and data solutions that solve the world's hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements. We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you'll feel right at home here. Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future. How you'll demonstrate Ownership As the Data Science (DS) Leader for Value Delivery Europe, you will own and elevate the Data Science capability across the region. Your primary mission is to build a high-performing team of Data Scientists who deliver scalable, production-ready analytical and agentic solutions that accelerate customer value on Cognite Data Fusion and Dune. You will be responsible for the professional development, methods, quality standards, and delivery excellence of the DS profession while coaching Data Scientists to operate as trusted technical advisors in industrial AI and data-driven workflows. You will ensure DS engagements are repeatable, efficient, customer-centric, and aligned with Cognite's delivery standards. This is a capability-building role-your time spent on billable or customer-facing execution will be limited to 20%, ensuring your focus remains on uplifting the DS community, maturing practices, and driving consistency and technical excellence across pods. The Impact you bring to Cognite Regional Technical Leadership (Data Science) Own the DS function's technical quality across all customer engagements in the region Set and maintain standards for modelling quality, agentic workflows, industrial analytics, data validation, and performance testing Ensure scalable, maintainable, and well-documented analytical solutions across all pods. Champion DS solutions that translate industrial challenges into measurable, value-oriented outcomes Guide teams on interpreting KPI impact, validating model performance, and ensuring business stakeholders understand insights and outputs. Support escalations as a senior technical advisor-ensuring pragmatic, customer centric resolution Scaling & Growth Partner with Sales and Product to ensure DS technical feasibility in scoping and expansions. Ensure DS work accelerates adoption of AI enabled workflows, Dune based solutions, and repeatable industrial patterns. Drive standardization of DS approaches, templates, benchmark metrics, and reusable assets to scale the function. Operational & Delivery Quality Management Ensure DS teams follow disciplined delivery practices including: - clear problem framing - structured exploration - robust modelling & validation - well defined acceptance criteria - telemetry, monitoring, and performance checks Improve portfolio predictability by aligning DS work with PM governance, architecture guidelines, and data engineering readiness. Track DS contribution to delivery health, model quality, and customer outcomes. Lead, mentor, and develop the Data Science community across Value Delivery Europe. Define the DS competency framework and build learning pathways covering: - statistics, machine learning, optimisation - deep learning, generative models, agentic frameworks - industrial domain context - Dune workflows and UI based logic - communication, consulting, and delivery excellence Run DS guilds, brown bags, technical shows and tells, and practice reviews. Recruit top DS talent, shape onboarding, and grow internal leaders. Ensure DS teams work seamlessly with PMs, Solution Architects, Data Engineers, Product Ambassadors, and Customer Success. Provide structured feedback loops to Product and Engineering on tooling gaps, bugs, and feature improvements. Support cross functional alignment on best practices for modelling, data readiness, and solution reliability Required Qualifications 7-10+ years in Data Science, Machine Learning, Agentic systems, or industrial analytics roles Proven track record delivering data driven solutions in production-preferably in industrial, asset heavy, or mission critical environments Experience leading technical teams or DS communities Strong applied background in mathematics, statistics, ML, optimisation, or agentic workflows. Ability to translate industrial problems into analytical, predictive, or agent based solutions Familiarity with full stack DS: - backend logic (Python/SQL/pipelines) - UI/workflow experience (Dune, low code/no code, visual interfaces) Excellent communication skills-able to explain complex technical concepts to non technical stakeholders High delivery orientation with strong problem solving and analytical thinking Mindset: Passionate about growing people, uplifting technical depth, and maturing DS practices Curious, experimental, and willing to adopt new frameworks, including Dune based development Collaborative, structured, and committed to customer value and operational excellence Thrives in high growth, rapidly evolving environments A snapshot of our many perks and benefits as a Cogniter Join an organization of 60 different nationalities with Diversity, Equality and Inclusion (DEI) in focus A highly modern and fun working environment with sublime culture across the organization, follow us on to know more Flat structure with direct access to decision makers Opportunity to work with and learn from some of the best people on some of the most ambitious projects found anywhere, across industries, with cutting edge technology Join ourHUB ️ to be part of the conversation directly with Cogniters and our partners. Get access to private health services with Cognite Care. Hungry? We've got your back. A subsidized lunch at the canteen is delivered by the chefs at Fornebuporten (Aker Tech House) Our ownCognite exclusive coffee bar with the friendliest baristas is here to brew coffee for coffee lovers, tea for tea lovers, smoothie for smoothie lovers, and the baristas creative concoctions when the mood strikes. We take your mental and physical health seriously by having a broad health offering and a free membership to our fully staffed gym on site. We're globally recognized domain experts with an international presence that spans Phoenix, Houston, Oslo Tokyo, Bengaluru, and Abu Dhabi. Cognite is committed to creating a diverse and inclusive environment at work and is proud to be an equal opportunity employer. All qualified applicants will receive the same level of consideration for employment.

Malted builds next-generation specialised intelligence for financial institutions. Our products combine advanced language technology with deep domain understanding to help firms make faster, more accurate and more accountable decisions. We focus entirely on financial services, working with leading banks, insurers and regulators to turn complex reasoning into clear, dependable intelligence. Our flagship product, Malted Pulse , provides AI that reasons transparently and can be inspected, governed and tuned to organisational policy. We're a highly technical team based in Edinburgh, combining deep machine learning experience with a rigorous approach to product design and engineering. We believe that making AI systems understandable isn't just an ethical necessity, it's a competitive advantage. About the team You'll be joining one of our product squads, responsible for building and evolving the systems that power Malted Pulse. The team designs and operates the systems that enable our customers to deploy reasoning agents at scale, with reliability, traceability and performance at the core. What you'll do As a Staff Engineer, you are a multiplier for any team. You own ill-defined, highly ambiguous projects, driving forward not only the implementation of work but also the design of the solution. You help set the technical direction of our platform, operating across multiple teams to define problem spaces rather than just solving them. You bridge gaps between engineering, product, commercial, and leadership to drive technical initiatives that matter to the business over the next 12-24 months. Responsibilities Lead the design of elegant solutions to complex problems and create roadmaps to tackle them incrementally. Drive technical discussions and architecture decisions that shape the platform's evolution across the wider business. Set technical vision and drive significant architectural decisions that hold together as the business grows. Work directly with company leadership on technical strategy and have real influence on company direction. Own problems that nobody else has been able to crack. Improve how engineering operates, from incident management processes to how teams are structured. Mentor Senior Engineers and help them grow into leadership, acting as a role model and coach for all engineers. Bridge gaps between engineering, product, commercial, and leadership. Who you are You're a seasoned engineer who enjoys solving complex problems with clarity and precision. You bring a level of experience and pattern recognition that allows you to set the standard for how engineering thinks and works at scale. Eligible to work in the UK. Extensive professional software engineering experience with a demonstrable impact on the quality and suitability of a team's work. Exceptional technical depth with the ability to engage credibly on any part of the stack. Proven ability to identify, coordinate and deliver highly impactful solutions to complex problems. Strong experience in Python (or other language) and deep familiarity with AWS or another major cloud platform. Experience shaping product direction and identifying high-level opportunities. Expertise in designing distributed systems and setting technical standards others follow. Strong understanding of the security and compliance landscape to advise the business on technical risk. Proven ability to anticipate technical challenges before they surface and address them before they become blockers. Working at Malted We're based in Edinburgh and work from the office three days a week (Monday, Wednesday and Friday). The rest of the week is work from home. We keep a high bar for technical quality but a low tolerance for ego. You'll join a team that values precision, humour and intellectual honesty. Pension and stock options Medical and life insurance Hybrid working and ad hoc flexibility The chance to work on one of a kind products at the forefront of the AI industry Professional development and growth opportunities A collaborative, inclusive workplace that promotes innovation and teamwork Free snacks and drinks Social events and company outings Relocation assistance for candidates moving to Edinburgh Malted AI is an equal opportunity employer, and we encourage candidates from all backgrounds to apply. If there's anything we can do to make your journey as a candidate easier, let us know when you apply. We aren't working with recruiters for these positions; we're excited to connect directly with candidates who share our enthusiasm for small language models.

The Mission Club JURA is Zaizi's dedicated club for Defence. We are looking for a heavyweight Head of Engineering to lead our technical mission. You will lead the technical mission, ensuring our solutions are architected with the holistic rigour of systems engineering while providing high level technical oversight for modern, cloud native software delivery. Reporting to the Club Exec, you will be the technical linchpin of Club JURA, translating high level mission objectives into rigorous engineering roadmaps, while providing the data backed assurance and performance reporting necessary to de risk our most complex sovereign programmes. Key Responsibilities System Design Authority (SDA): Act as the ultimate technical authority for Club JURA. You will own the architectural integrity of the "System of Systems," providing overwatching of design, integration, and test (I&T) technical oversight across both hardware software interfaces and pure software platforms. Standards & Compliance: Own the application of established standards from ISO 15288 to Def Stan / IEC 61508. You will provide the engineering oversight and process rigour required to enhance quality in high security and safety critical domains. Software Oversight: While focussed on the system, you will provide technical oversight for software engineering teams. You'll ensure that modern software practices (Agile, DevSecOps, CI/CD) are harmonised with the overall system V lifecycle and safety requirements. Performance & Board Reporting: Establish and track KPIs for engineering performance. You will provide the Club Exec and Zaizi Board with transparent, data driven reporting on technical risk, system maturity, and delivery health. Team Shaping & Governance: Recruit, mentor, and lead elite engineering teams. You will mentor engineers in "systems thinking" to help them influence and shape complex customer problems. You will instill the V Model lifecycle across the club while maintaining the agility of DevSecOps and cloud native delivery. Bid & Solution Strategy: Lead the technical strategy for major defence tenders. You will translate complex MoD requirements into robust, high confidence estimates and architectural blueprints that navigate the nuances of commercial frameworks (e.g., DSP). You will use your experience across multiple defence domains to ensure our bids are technically sound, commercially viable, and compliant with relevant standards. Intelligent Problem Solving: Where applicable, identify and architect AI driven solutions for complex defence challenges. You will ensure that AI and Machine Learning are integrated into systems engineering to solve specific mission problems-such as predictive maintenance or autonomous ISTAR-ensuring they are fit for purpose and operationally sound. Internal Collaboration: Work with our in house AI team and provide practical, frontline focused input to help shape internal IRAD, ensuring our research has real world utility in contested environments. Requirements Security: Active UK Security Clearance (SC and above) is mandatory. Systems Mastery: Deep expertise in the V Model and systems of systems thinking. You are well versed in the application of ISO 15288, IEC 61508, and are familiar with AI risk frameworks like ISO/IEC 23894 where applicable. Technical Breadth: A strong systems engineering core with significant hands on experience in IT, Data, and Cloud (AWS/Azure). You understand the "Silicon" as well as the "System." Commercial Intelligence: Significant experience across multiple defence domains with a thorough understanding of relevant commercial frameworks, DEFCONs, and MoD technical standards. C Suite Gravitas: The ability to navigate between technical specialists and senior stakeholders, translating complex technical and safety risks into clear strategic and commercial choices. We actively welcome applications from people of colour, the LGBTQ+ community, individuals with disabilities, neurodivergent individuals, parents, carers, and those from lower socio economic backgrounds. If you need any accommodations to support your specific situation, please feel free to let us know. For candidates who are neurodiverse or have disabilities, we are happy to make any adjustments needed throughout the interview process-just ask! Salaries - £90,000 - £115,000 SC Clearance Zaizi works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously. Benefits Compensation Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value. Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8%. Protection: Comprehensive Group Life Assurance for peace of mind. Purpose & Culture Real Impact: Work on mission critical projects that secure and improve the UK's digital infrastructure. Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. Service & Community: We support those who serve. 10 paid days for Reservist Military Service. Work / Life Balance Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave. Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you-work related or not. Support: Access to 1 2 1 professional coaching and team training to accelerate your career. Health & Balance Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup. Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices.

FEQ327R145 The growth of the Databricks Data Intelligence Platform is powered by a thriving partner ecosystem of global system integrators, consultancies, and technology partners. As the EMEA Regional Partner Enablement Lead, you will play a central role in scaling that ecosystem. You will design and execute high impact enablement programs that equip partners to sell, implement, and deliver Databricks solutions with confidence. Working closely with regional leadership, partner teams, and global enablement, you will translate business priorities into world class learning experiences that accelerate partner readiness and drive measurable ecosystem growth. You will operate at the intersection of strategy and execution - building programs that expand certifications, deepen technical expertise, and enable partners to successfully deliver data and AI transformation for our customers. This is a highly cross functional role within a fast growing, high performance team that recently tripled the number of trained partners in EMEA through innovative learning models and scalable enablement programs. Impact you will have Define and execute the EMEA partner enablement strategy, aligning regional priorities with global ecosystem goals and business outcomes. Design and deliver scalable enablement programs, including Sales Academies, Pre Sales Mastery, and Technical Academies that accelerate partner readiness across sales and technical roles. Own the regional enablement roadmap, activating learning programs through large scale events, digital learning journeys, and targeted regional initiatives. Drive measurable ecosystem growth through certifications, badges, and partner skill development, using data to continuously optimize program impact. Partner closely with regional sales, partner leadership, marketing, and global enablement teams to ensure programs address real field needs. Elevate the quality and effectiveness of partner enablement through coaching frameworks, program governance, and operational excellence. Ensure EMEA alignment with global enablement initiatives while tailoring programs to regional market dynamics and partner maturity. What we look for 7+ years of experience designing and scaling learning or enablement programs within enterprise technology, cloud, or data ecosystems. Experience working with system integrators or consulting partners, with strong understanding of how partner led delivery and go to market models operate. Solid understanding of modern Data & AI architectures, including data warehousing, data engineering, machine learning, and generative AI concepts. Experience building or running sales and technical enablement programs for large partner audiences or distributed field teams. Strong program management skills with the ability to run complex, cross functional initiatives at a regional scale. Analytical mindset with experience using metrics and KPIs to measure learning outcomes and continuously improve program effectiveness. Exceptional communication and stakeholder management skills with the ability to influence across global and regional teams. Bachelor's degree or equivalent practical experience. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark , Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio economic status, veteran status, and other protected characteristics. Compliance Export Control Compliance If access to export controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Research Fellow - Machine Learning for Nanoscale Semiconductor Manufacturing Semiconductor fabrication is one of the most complex and precision-driven forms of manufacturing. At nanometre scales, even subtle variations in process conditions can introduce defects that degrade device performance, reduce yield, and drive up production costs. Addressing this challenge requires new modelling approaches that can capture the full complexity of fabrication processes and enable optimisation before physical manufacturing begins. This project aims to develop advanced deep learning models capable of predicting fabrication outcomes and guiding fabrication recipe optimisation. By learning directly from experimental and process data, these models will enable a shift from iterative, trial-and-error fabrication towards predictive and data-driven manufacturing. We are seeking a highly motivated Machine Learning Researcher to join a multidisciplinary team of fabrication engineers and AI specialists at the University of Southampton, within the School of Electronics and Computer Science, working in the group of Dr Yasir Noori. In this role, you will work at the interface of machine learning and semiconductor engineering, developing models that predict post-fabrication device characteristics from process parameters. You will engage with complex, high-dimensional datasets derived from real fabrication workflows, including microscopy, spectroscopy, and electrical performance measurements. You will work closely with fabrication engineers to translate physical processes into machine learning models, design and train deep learning architectures, and evaluate their ability to generalise across different process conditions. The models you develop will not remain confined to the research lab, but will be validated experimentally and tested at an industrial scale in collaboration with global companies in semiconductor fabrication and electronic design automation. The position offers a rare opportunity to apply machine learning to an important technical challenge with substantial potential impact. You will also be involved in supervising PhD students and junior researchers and play a central role in shaping the research direction of the team. Your work is also expected to contribute to the development of innovative technologies with a clear pathway to commercialisation through the spinout company Deep Fabrication, to influence how semiconductor manufacturing is approached in practice. The role will provide you with deep exposure to nanofabrication processes, experience working with industry-relevant datasets and problems, and the opportunity to publish in leading journals and conferences. It is particularly well-suited to candidates who are motivated by applying machine learning to real-world systems where the underlying physics is complex and not fully understood. This position is offered for 24 months in the first instance, with the possibility of extension for a further 12 months. To apply, please submit your CV and a cover letter outlining how your experience and interests align with the aims of the project, and provide responses to the short-listing questions. We are committed to equality, diversity and inclusion and welcome applicants who support our mission of inclusivity. Apply by 11.59 pm UK time on the closing date. For assistance contact Recruitment on (0) or quoting the job number.