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Opportunity We are looking for an experienced C++/Python Quantitative Developer to join a high-impact quantitative analytics team focused on Cross Asset XVA and Capital Analytics. This is a senior technical role combining quantitative modelling, software engineering and financial markets, with responsibility for developing analytics libraries used across pricing and risk management. You will work closely with Traders, Structurers, Quantitative Analysts and technology teams to deliver robust, scalable and production-ready solutions. Key Responsibilities Develop and maintain quantitative analytics libraries supporting pricing and risk management. Implement and support quantitative models using a combination of mathematical and computer science techniques. Develop pricing and valuation models using numerical methods, including Monte Carlo simulations and PDE solvers. Build high-quality software using C++ and Python, alongside technologies such as C#/.NET, Java, SQL and kdb. Apply object-oriented design principles and strong software engineering practices to quantitative applications. Work with market data and develop analytical solutions for complex financial instruments. Collaborate closely with Traders, Structurers, Quantitative Analysts and Technology teams. Partner with control functions including Market Risk, Credit Risk, Finance, Legal, Compliance and Audit. Contribute to appropriate governance, controls and risk-management processes. Provide technical expertise and contribute to the wider direction of the quantitative technology function. Requirements Essential Experience Strong professional experience in a quantitative development, quantitative modelling or analytics role, ideally within financial services. Strong Python programming experience. Experience with C#/.NET and SQL. Strong understanding of software design principles and object-oriented programming. Experience working with market data. Strong knowledge of statistics and probability. Ability to apply probability theory and numerical techniques to complex financial instruments. Experience with quantitative methods and mathematical finance. Understanding of investments and financial products. Strong communication skills with the ability to work effectively with both technical and business stakeholders. Nice to have Desirable Technical Experience Monte Carlo modelling Partial Differential Equation (PDE) solvers Numerical analysis Quantitative pricing and risk analytics Hardware acceleration kdb / time-series market data Java SQL High-performance quantitative applications Ideal Candidate The ideal candidate will be a strong software engineer with genuine quantitative capability, rather than purely a software developer or purely theoretical quant. You should be comfortable moving between C++ development, Python analytics, mathematical modelling and financial markets, while being able to communicate effectively with Traders, Structurers and senior stakeholders. A Bachelor's or Master's degree in a relevant discipline is expected, with a Master's or PhD preferred. Core Technology Stack C++ Python C#/.NET Java SQL kdb Mathematical Finance Statistics & Probability Monte Carlo PDEs Market Data Quantitative Analytics Pricing & Risk We offer Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About Us Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

Your Role Gensler is seeking a Sustainability Strategist to manage the certification process and provide design guidance on projects pursuing LEED, WELL, BREEAM, Living Building Challenge, Fitwel and/or Net Zero Building Certification. Additionally, you may participate in consulting engagements that provide bespoke sustainability strategies for a wide range of world class clients and projects ranging from commercial interiors to ground up buildings and real estate portfolios. As a Sustainability Strategist, you will work with a highly creative, collaborative team dedicated to innovative problem solving and design excellence. You will work with the Europe Climate Action & Sustainability Consulting team in providing a full spectrum of sustainability advisory and support to clients and project teams, from pre-design through post-occupancy. What You Will Do Work with clients and design teams to establish sustainable design and project certification goals, employing feasibility analysis or other methods to facilitate goal setting Design and facilitate work sessions with clients and design teams to build consensus on sustainable design solutions Coordinate with project design teams to provide sustainable design guidance and technical support, and certification process management, participating in and leading client meetings when necessary Coordinate integration of Revit, IES, energy modeling, daylighting and other technical analysis in projects where needed Coordinate the work of multiple consultantsand team members Ensure quality control and consistency across all projects Establish and manage project fees, staffing, and client invoices for your projects Participate in business development for Sustainability Certifications consulting project opportunities, ensuring prompt and timely response to all proposal requests Identify and maintain awareness of current and emerging technologies, tools, and methods as they impact the delivery of green building design Track regional and local regulations and incentives and provide guidance to clients Ensure sustainable design projects status are integrated into Gensler marketing information (Digital Library) Ensure that lessons learned are shared across projects Your Qualifications 5+ year of post-graduate experience in a similar role Bachelor or Master's degree in sustainable building, architecture, engineering, interiors or related field LEED AP with at least one specialty required, or willingness to take the exam within 6 months of joining Gensler Additional accreditations a plus(WELL, BREEAM, Fitwel, Living Building Challenge) Working knowledge and delivery experience of LEED, WELL, BREEAM, Fitwel - sufficient to be able to speak authoritatively to clients during business development Significant interest in and aptitude for sustainable design, certifications, project management, and client relationships Strong leadership, communication, and relationship management skills Strong knowledge of building systems, project management, and consultant coordination (current expertise or interest/aptitude to build expertise quickly) Strong knowledge of LEED and certification project management, gained through directly relevant project experience and education Ability to perform technical analysis is a plus (e.g. energy and daylighting simulation, specification writing, materials selection, cost and life cycle studies, etc.) Strong writing, speaking, organizational skills, and technical presentation ability Able to teach and train effectively Innovator, ability to create and successfully implement new programs Ability to synthesize new information quickly Self-directed and strong track record of autonomous delivery Willingness to pursue certification in further accreditation to align to business needs A sense of humour, a knack for innovation/ problem solving, and a collaborative, solutions-oriented working style Technical Skills Proficient user of LEED Online, Word, Excel, PowerPoint, and InDesign Familiarity with Revit Familiarity with building simulation and LCA software Familiarity with Salesforce, and other project management tools such as Smartsheet or Teams Planner, or willingness to learn Familiarity with digital collaboration tools such as Microsoft Teams, and willingness to learn others such as Miro and/or Mural This role requires on-site presence in our London office. Life at Gensler We encourage every person at Gensler to lead a healthy and balanced life. Our comprehensive benefits include medical and dental insurance, season ticket loans, pension, profit sharing and twice annual bonus opportunities. As part of the firm's commitment to professional development, Gensler offers reimbursement for certain professional qualifications and associated renewals and exam fees. In addition, we reimburse tuition for certain eligible programmes or classes. We view our professional development programmes as strategic investments in our future. L1-DNP

Head of Engineering - Autonomous Systems Competitive salary and benefits package. Further details on application. We're looking for an experienced Head of Engineering to lead the engineering function developing advanced autonomous UAV systems for demanding defence and aerospace applications. This is a senior leadership role spanning technical leadership, engineering delivery, organisational development and people management. You'll lead a cross-functional team across systems, software, electronics, mechanical, autonomy/GNC, modelling, integration and test, and you'll have the technical depth to challenge decisions, set direction and lead experienced engineers with credibility. This is a chance to shape the engineering capability of a fast-growing technology business: building the organisation, putting proportionate processes in place, and keeping teams focused on delivering robust, high-performance products at pace. What you'll do Lead the multi-disciplinary engineering function and take overall responsibility for engineering delivery Align technical activity with product, programme and business priorities Define and grow the engineering organisation: structure, technical leadership, recruitment and capability Provide technical leadership across the product lifecycle, concept and architecture through development, integration, verification, flight test and productionisation Set technical direction, plans and priorities with your technical leads Manage dependencies and interfaces between disciplines Establish proportionate engineering governance, design reviews and decision-making for a fast-moving scale-up Maintain oversight of architectures, requirements, interfaces, verification strategies and key technical decisions Balance performance, schedule, cost, technical risk, manufacturability and future scalability Identify significant engineering risks and drive mitigation and technical closure Work closely with Product, Programme, Operations, Manufacturing and Supply Chain Take products from prototype and development into repeatable, supportable, manufacturable systems Build a culture of technical excellence, ownership, pace and pragmatic problem-solving Recruit, coach and develop engineers and engineering leaders Represent the business with customers, partners and suppliers Contribute to product and technology strategy and engineering investment priorities What we're looking for Degree or equivalent experience in Systems, Aerospace, Electronic, Mechanical or Software Engineering, Robotics, Physics or a related discipline Significant experience in complex multidisciplinary product development Proven experience leading cross-functional engineering teams or an engineering function Technical credibility with senior engineers and specialists Experience developing autonomous systems, UAVs, UxVs, robotics or other intelligent electromechanical products Experience in defence, aerospace, robotics, autonomous systems or another safety/mission-critical environment Experience delivering products that combine hardware, software, sensors, communications and control Strong systems engineering: requirements, architecture, interfaces, integration and verification Experience taking products through physical integration, test and evaluation, not purely desk-based development Strong delivery: planning, prioritisation, resource allocation, technical risk and programme executionExperience in a start-up, scale-up or rapidly growing technology organisation Experience building teams and improving engineering ways of working Strong communication, leadership and stakeholder management Particularly relevant (advantageous, not essential) UAV/UxV development and test; autonomous navigation, guidance and control; robotics; GNC, flight-control or autopilots; sensors, sensor fusion, computer vision or AI/ML; RF communications, datalinks or GNSS/GNSS-denied navigation; embedded electronics and software; MBSE; HIL/SIL simulation; defence product development, qualification or certification; prototype-to-NPI and low-rate production; scaling engineering organisations; establishing processes and governance in an early-stage or scale-up environment. The kind of leader you'll be Hands-on and close to the technology. Comfortable with incomplete information and pragmatic decisions. Able to move between detailed technical issues and programme, product and business considerations. Collaborative across disciplines. Delivery-focused without unnecessary bureaucracy. Willing to challenge assumptions and resolve difficult technical or organisational issues. Calm under pressure, adaptable, and motivated by building both high-performance products and a high-performance engineering organisation. Due to the nature of the work with the UK MOD, applicants must be a British Citizen (or dual UK national with British citizenship) and eligible for UK Security Clearance (SC). Working pattern We value working together in person and expect the role to be office-based for the majority of the week, with a pragmatic approach to start/finish times and some remote working. Package Competitive salary and benefits package. Further details will be shared with candidates during the application process.

Job Title: Associate Consultant (Infrastructure Performance Consultancy - Production Systems Engineering) Location: London (Hybrid working available, min 2-3 days in the office/week) Salary: £75K - £80K+ (DOE including competitive pension and benefits package, including a compressed 9-day fortnight option) Hours: Full Time, 37.5h p/w (Part-time Considered) Contract Type: Permanent The Role Overview We are looking for an experienced professional at an associate level with a design, contracting or consulting background to join our growing Infrastructure Performance Consultancy (IPC) team. We are also open to people with an entrepreneurship background, process design or automation experience within manufacturing. With Expedition, you will play an important role in delivering engineering led consultancy services. You will work within our teams to help drive innovation, productivity, and efficiency improvements across the industry, supporting major infrastructure and construction clients. Through these projects, you will deliver practical change in line with the Construction Playbook, Project 13, NISTA guidance, PAS4010 and other leading industry thinking. You might find yourself in a room with representatives from a major infrastructure client organisation diagnosing the project and identifying the key problems to tackle. Within weeks you would be working with leading construction experts to develop analytical physics based models to predict project performance, present insights and propose actions to the client. What We Are Looking For We are looking for a highly versatile problem solver. A strong civil, structural, or geotechnical design experience is valuable, but less critical than having a robust, overall understanding of the end to end design and construction process. Deep experience in manufacturing will also be considered. In particular, this individual will have strong skills in either digital, site based or manufacturing fields which will help expand our team's capabilities. You are someone who bridges the gap between site and the digital environment-you are as happy standing on site talking to teams about the root cause of a problem as you are developing bespoke tools, automation scripts, or data pipelines to solve the problem back at the office. You have the experience to know when traditional engineering tools are good enough. The sort of digital skills you have might include: Advanced construction or manufacturing planning software or business process simulation. Python for automation Data visualisation e.g. PowerBI, Jupyter Notebooks or JavaScript libraries Database development Computational design frameworks like Grasshopper/Dynamo AEC data integration tools, e.g. Speckle Digital development in small teams, using version control and collaboration tools You will have built up a portfolio of experience in the construction, manufacturing or infrastructure sector, potentially including highly regulated environments like nuclear facilities or defence, and be ready to use your expertise in new ways. As a key member of the team, you will be responsible for the planning and delivery of consultancy and engineering focused projects. Key Expertise Areas We do not expect candidates to possess every skill listed below. Rather, we are looking for candidates who combine a strong core understanding of construction with specialist experience in one or more of the following areas: Design for Manufacturing and Assembly (DfMA) & Buildability: Experience in construction engineering, temporary works, demountable structures, or the development of mass produced structural products. Digital Engineering & Automation: Experience in bespoke software development, building custom engineering design tools, or computational design. Consultancy & Strategy: Advising major infrastructure clients on delivery performance improvements, driving innovation, and transforming major capital programmes. Project Leadership: Experience in the commercial and technical management of consultancy projects, adapting rapidly to developing briefs, and synthesizing complex technical landscapes for clients. Essential Requirements Professional Qualification: Chartered Professional (e.g., CEng) and Membership with an appropriate professional body such as IStructE, ICE, CIBSE, or IMechE or equivalent body. Process Knowledge: A strong overall understanding of the design and construction process, with the ability to diagnose issues systemically. Communication: Strong written English and a track record of delivering high quality client reports, technical publications, or technical advice. Excellent communication skills to maintain and develop productive client relationships. Culture & Values: A collaborative, adaptable team player who is comfortable working in a small, fast paced organisation and has a passion for creating a better built environment in line with the Trust's values. Who We Are The Useful Simple Trust (UST) is an award winning group of professional design and consultancy practices driving change in the built environment through our three brands: Expedition Engineering, Useful Projects, and Useful Studio. Certified as a B Corp, Social Enterprise, and Employee Benefit Organisation, we are addressing the significant issues of our time, including Net Zero carbon, circular economy, biodiversity gain, and social impact. We are a certified Carbon Literate Organisation, and are committed to becoming carbon neutral by 2030. What We Offer Flexible and hybrid working, including the possibility to work a compressed nine day fortnight. 25 days annual leave + bank holidays. Personal development programme including enhanced learning and mentoring, as part of a coaching culture. Private medical insurance for you and your family. Company Pension Scheme (grade dependent, minimum of 6%). Life Assurance, Annual Eyecare Plan, and Cycle to Work Scheme. Free access to our Employee Assistance Program (EAP) for you and your family. Diversity Statement UST strives to be a diverse and inclusive place where we can all be ourselves. We encourage people from culturally diverse backgrounds, women, people with different abilities, the LGBTIQ+ community, and all age groups to apply. We know that diversity makes us stronger, and we are committed to creating an inclusive working environment.

About Hyperlayer Hyperlayer is the intelligent banking platform built for the agentic economy: the financial control layer that sits above banks' existing cores, enabling next-generation Smart Accounts, without ripping anything out. From a single integration, we give financial institutions a secure rules and orchestration engine that lets them design, launch and scale hyper-personalised products in weeks while preserving stability, compliance and control. And there's nothing like us anywhere in the world. About Hyperlayer Hyperlayer is the intelligent banking platform built for the agentic economy: the financial control layer that sits above banks' existing cores, enabling next-generation Smart Accounts, without ripping anything out. From a single integration, we give financial institutions a secure rules and orchestration engine that lets them design, launch and scale hyper-personalised products in weeks while preserving stability, compliance and control. And there's nothing like us anywhere in the world. Hyperlayer works with Tier 1 and Tier 2 FIs across the UK, US, EMEA and Hong Kong, with an award-winning UK consumer app (HyperJar) sitting in the group. We're creating the fintech category that every bank in the world needs: programmable, governed, agent-ready accounts. Your job is to make sure our audiences know that. We're Growing Our AI Team Hyperlayer is on a mission to reinvent how people and businesses move money, and we need a Principal AI Engineer with big ideas to help us make it happen. This isn't just about writing code; it's about building the AI infrastructure for the future of payments. You'll provide the AI leadership for bringing a complex, multi-function platform to life - designing the agent layer that sits alongside a much larger system of data, rules, and reporting capability, from initial architecture through to launch. If you love shaping how AI gets built into a large, many-part system end-to-end, you'll fit right in. What You'll Do Design the agentic control plane for a new platform - how agents get authored, deployed, governed, run, and observed across a complex, multi-function system Define how agents are declared and scoped: registry, authority boundaries, autonomy levels, and tool bindings, compiled into the same versioned release artefacts as everything else Own the evaluation and analytics layer for agent behaviour: trace capture, hallucination detection, containment measurement, cost accounting, and regression tracking across releases Participate in system level design and architecture decisions with your peers Make sure our AI systems scale, stay reliable, remain secure, and meet financial regulation objectives Work closely with the platform's core architecture and engineering leads to keep the agentic layer and the rest of the system cohesive, not two products bolted together Shape the AI architecture for a platform still being built - your early decisions will define how agents behave across the whole system for years to come. Qualifications 8+ years' experience in AI/ML or software engineering, including designing and shipping agentic systems into production, not just prototypes Experience architecting agent governance for high-stakes domains: guardrails, autonomy levels, kill switches, and human-in-the-loop approval Experience with agent runtimes - sandboxing and isolation, tool invocation (e.g. Model Context Protocol), multi-agent orchestration, and reasoning-loop control A track record of building or operating an evaluation and analytics harness for agent behaviour: trace capture, hallucination detection, and regression testing across releases Comfort with cloud platforms (AWS mainly, GCP is a plus) and container tech (Docker, Kubernetes) Experience designing systems that combine deterministic, rules-based processing with agent-based reasoning in the same architecture Solid Python and SQL skills, and hands on experience with LLM or agent frameworks (LangChain or similar) Understanding of identity and authorisation models extended to non human/agent principals - delegated authority, composite human plus-agent identity A data driven mindset - comfortable defining the metrics that tell you whether an agent is actually working Strong communication and collaboration skills Curiosity and a love for experimentation, always exploring what's next in how AI gets embedded in complex, regulated systems Bonus Points For Experience building or defining agent-to-agent or tool-integration protocols (Model Context Protocol and similar) at platform scale Knowledge of evaluation frameworks and fine tuning techniques. Familiarity with graduated autonomy models and agent-as-principal identity patterns Experience with prompt-injection and jailbreak defence, and other agent-specific security controls Experience with persona or scenario based simulation for testing agent behaviour before release Familiarity with hybrid deterministic/agentic execution models, where rules-based and LLM-based reasoning share the same runtime Experience with token, spend, or step budget governance for autonomous agents operating at scale Understanding of security and privacy in AI workflows (encryption, anonymization, compliance). Experience standing up an AI or agent capability from a blank sheet - architecture, governance and delivery - rather than extending an existing one (You don't need every skill. If you're passionate about building the future with AI, we want to hear from you.) Working at Hyperlayer At Hyperlayer we are proud of our in-office culture. It makes a real difference to the working atmosphere and maximises collaboration in and across teams. This is critical to how we work and learn. Also, we think it makes for a great workplace! We value our team and are proud to offer some great benefits: A performance based employee bonus scheme. 25 days annual leave plus bank holidays, a day off on your birthday, and an additional day per year of tenure to a maximum of 30. Critical illness and life insurance cover. AXA PPP Health Insurance, including gym offers. Cycle-to-work scheme. Referral bonus scheme. Workplace Nursery Scheme Equity, diversity, and inclusion Hyperlayer's mission is to make a positive impact on people's lives, making it easier for everyone to manage their money. Hyperlayer's commitment to equity, diversity, and inclusion is a key part of this; it helps us better serve our customers, employees, and business partners from every background. We are constantly learning and striving to do better, and we expect all staff to actively take part in this process. We will not be offering UK work visa sponsorship for these roles. Candidates will need an existing non-sponsored right to work in the UK. Data Privacy As part of our recruitment process, Hyperlayer Limited collects and processes personal data relating to job applicants. We are committed to being transparent about how we collect and use this data and to meeting our data protection obligations. To read more click here.

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BATaircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit . Follow Shield AI on LinkedIn, X, Instagram, and YouTube. Job Description: We're looking for a Staff Talent Sourcer who lives and breathes talent discovery - someone who can take complex, highly specialized talent needs across multiple functions and translate them into precision sourcing strategies across the EU region. You'll be the go-to expert for talent intelligence, market mapping, proactive candidate generation, and pipeline cultivation across our aerospace, autonomy, AI, advanced hardware, and broader business organizations. This isn't just a "find resumes" role - it's about building intelligence, relationships, and repeatable systems that fuel our hiring engine across EU. As a Staff Talent Sourcer, you'll serve as a strategic partner to recruiters and hiring leaders while leveraging modern AI tools, regional market intelligence, and scalable sourcing practices to help us identify and hire world-class talent across a broad range of functions, levels, and geographies. Own the top of funnel: Partner closely with recruiters and hiring leaders to define target profiles and build deep, data-informed sourcing strategies across EU for roles spanning Engineering, Software, Embedded, AI/ML, Systems, Manufacturing, Operations, Product, Program Management, Corporate functions, and other critical disciplines. Map the EU market: Develop comprehensive talent landscapes by company, skillset, function, geography, seniority, and organizational structure across key European and EU markets; identify hidden talent pools, competitor insights, regional talent hubs, and emerging talent trends to inform recruiting strategy and workforce planning. Generate and engage: Use advanced Boolean search techniques, sourcing platforms, and creative sourcing channels (LinkedIn Recruiter, SeekOut, HireEZ, GitHub, professional communities, niche industry networks, conferences, referrals, and more) to identify, engage, and attract exceptional talent across diverse functions and EU markets. Build pipelines proactively: Cultivate long-term relationships with passive, highly specialized, and hard-to-find talent across EU to enable just-in-time hiring across strategic programs, business functions, and growth markets. Navigate diverse talent markets: Develop deep expertise across EU countries and talent ecosystems, adapting sourcing strategies to local market dynamics, candidate expectations, languages, mobility considerations, competitive landscapes, and regional hiring requirements. Leverage AI to scale sourcing: Design, build, and continuously improve AI-powered sourcing workflows, research agents, and practical automations that increase recruiter productivity, accelerate candidate discovery, enhance market intelligence, and improve operational efficiency. Build repeatable sourcing systems: Use AI tools and workflow automation to create structured market maps, talent intelligence reports, outreach content, sourcing documentation, and scalable recruiting processes that can be leveraged across the Talent Acquisition organization and adapted to different EU markets. Be the sourcing SME: Serve as the subject matter expert on EU sourcing by coaching recruiters and hiring managers on regional market insights, sourcing strategy, talent availability, competitive intelligence, candidate engagement best practices, and emerging recruiting technologies. Partner for impact: Collaborate cross-functionally with Talent Acquisition Operations, Employer Brand, University Recruiting, People teams, and business leaders to optimize recruiting strategies, outbound messaging, candidate experience, and operational excellence across EU. Track and iterate: Use recruiting analytics, experimentation, and storytelling to measure sourcing effectiveness across markets, optimize outreach strategies, improve conversion rates, identify regional differences, and continuously evolve sourcing practices. 8+ years of sourcing experience, with significant experience supporting hiring across multiple EU markets and a broad range of functions and talent profiles. Proven track record in market mapping, competitive intelligence, and candidate generation for highly specialized, difficult-to-fill, and business-critical roles. Demonstrated experience sourcing across multiple disciplines, which may include Engineering, Software, AI/ML, Hardware, Manufacturing, Operations, Product, Program Management, Commercial, G&A, and other corporate functions. Deep expertise in advanced Boolean search, LinkedIn Recruiter, HireEZ, SeekOut, GitHub, and other modern sourcing platforms, with the ability to identify talent across diverse EU markets. Strong knowledge of the EU talent landscape, including regional talent hubs, competitor ecosystems, candidate behaviors, market dynamics, and differences in recruiting across countries. Demonstrated ability to operate as a consultative partner to recruiters, hiring managers, and senior leaders, influencing hiring strategy through market insights and talent intelligence. Hands-on experience building or leveraging AI-powered sourcing workflows, agentic AI tools, workflow automations, or practical AI solutions that improve recruiting or business processes. Direct experience using AI development environments or coding assistants (such as Claude Code, OpenAI Codex, Cursor, GitHub Copilot, ChatGPT, Gemini, or similar tools) to create repeatable sourcing workflows, structured research outputs, market intelligence, process automation, or operational documentation. Experience building and maintaining long-term relationships with passive, niche, senior, or otherwise difficult-to-engage talent across multiple markets. Excellent communication and storytelling skills with the ability to engage candidates from diverse professional and cultural backgrounds and influence stakeholders across functions and geographies. Strong judgment, curiosity, cultural awareness, and a continuous improvement mindset with the ability to evaluate and adopt emerging AI technologies to improve recruiting outcomes. Highly organized, data-driven, and able to operate autonomously in a fast-paced, mission-driven, internationally distributed environment. Prior experience supporting aerospace, defense, robotics, autonomy, AI/ML, advanced technology, manufacturing, or other complex hardware/software organizations. Experience sourcing across multiple European talent markets, including established and emerging technology and engineering hubs. Experience navigating cross-border hiring considerations, candidate mobility, work authorization, export control, or other regulatory considerations relevant to hiring across EU. Experience sourcing across both highly technical and non-technical functions, with the ability to quickly develop expertise in new talent markets and disciplines. Familiarity with Ashby and recruiting analytics, CRM, or talent intelligence platforms. Experience supporting high-growth, venture-backed, multinational, or rapidly scaling technology organizations. Demonstrated passion for staying ahead of emerging recruiting technologies, regional talent trends, sourcing methodologies, and AI advancements. Our international teammates receive a comprehensive total rewards package aligned to your country office location. For full details on compensation and benefits, please consult your talent acquisition partner.

# Research Scientist, Robotics, DeepMindat DeepMind • London, UKBack to jobs1. Home2. Jobs3. UK4. Research Scientist, Robotics, DeepMind-D Research Scientist, Robotics, DeepMindDeepMind20Research ScientistFull-timeLondon, UKApply Job Job DescriptionAs an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. We are looking for creative thinkers with strong algorithm-design and programming skills that want to build the next generation of AI agents for and grounded in the physical world. In this role, you will work in collaborative teams to invent algorithms and innovate on large foundation models such as Gemini Robotics. You will design prototype applications and work with real robots inside and outside the lab to manage real-world use cases. A strong algorithmic background in scalable machine learning (e.g., reinforcement learning/imitation learning; multimodal foundation models) and experience with real robots /robot simulation and training setups are valued. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Design, implement, train and evaluate large models and algorithms for robotic agents. Make breakthroughs and unlock new robot capabilities. Write software to implement research ideas and iterate quickly. Work effectively with a large collaborative team with changing agendas to meet ambitious research goals. Develop methodologies and design and conduct experiments for incorporating scalable data sources, especially human data with or without capture devices into our robotics foundation models. Leverage your broader expertise to participate in a wide variety of research: learning from simulation, reinforcement learning, learning from demonstrations, vision-language-action models, transformers, video generation, robot control, humanoid robots and more. Skills Required reinforcement learning imitation learning multimodal generative modeling training and inference vision models vision-language models video multimodal models simulators real-world robots dexterous manipulation multimodal sensing tactile sensing force sensing system implementation large real world data capture methodologies dataset design experimentation human action data vision-language-actions (VLAs) whole-arm manipulators (WAMs) algorithm design programming AI agents Gemini Robotics prototype applications robot simulation scalable machine learning multimodal foundation models robotics foundation models learning from simulation learning from demonstrations transformers video generation robot control humanoid robots machine learning deep learning data mining natural language processing hardware performance analysis software performance analysis compilers core search

Description Come build the future of entertainment with us. Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is a premium streaming service that offers customers a vast collection of TV shows and movies - all with the ease of finding what they love to watch in one place. We offer customers thousands of popular movies and TV shows from Originals and Exclusive content to exciting live sports events. We also offer our members the opportunity to subscribe to add-on channels which they can cancel at anytime and to rent or buy new release movies and TV box sets on the Prime Video Store. Prime Video is a fast-paced, growth business - available in over 240 countries and territories worldwide. The team works in a dynamic environment where innovating on behalf of the customers is reflected in all we do. If this sounds exciting to you, please read on. Prime Video Commerce's mission is to present the right offer to the right customer at the right time - across subscriptions, channels, and transactional video, in every market and on every device. Our science team replaces static business rules with ML-driven decisions that personalise the entire commerce journey, from discovery through checkout and beyond. We operate at scale across hundreds of millions of customers, and we are expanding into new frontiers - combining the latest advances in agentic and generative AI, behavioural simulation, and causal inference to understand the impact of our decisions before they reach customers. We are looking for an Applied Scientist to join the Prime Video Commerce Insights team in London. You will develop and deploy customer-facing models, understand customer behaviour at scale, and explore emerging techniques that help us make better decisions faster. This is a delivery focused role within a high-visibility multidisciplinary group of engineers and scientists, focused on improving the customer experience for Prime Video. Key job responsibilities Research, design, and implement machine learning approaches (e.g. reinforcement learning and recommendation systems) that personalise across different customer touch points. Collaborate with engineers to deploy and integrate successful experiment results into large-scale, complex Amazon production systems with low latency. Design and execute rigorous experiments to demonstrate the technical efficacy and business value of your methods. Act as a subject-matter expert and help define the science roadmap and research agenda in line with organisational priorities and production constraints. Provide machine learning thought leadership to technical and business leaders, thinking strategically about business, product, and technical challenges. Work with technical product managers to work backwards from what matters to customers and deliver ML-backed solutions. Share results with the team and wider scientific community through documents that are both statistically rigorous and compellingly relevant. A day in the life You will be a research leader and innovator within the Commerce Insights organisation. You will collaborate with talented engineers and senior leaders to solve problems that are uniquely challenging at Amazon's scale: personalising commerce decisions across multiple business lines, balancing competing objectives, and positively impacting hundreds of millions of customers worldwide. The problems here are technically deep - combining large-scale ML, causal reasoning, and behavioural modelling in a domain where every decision carries real revenue and customer-experience consequences. Your research will ship to production and move metrics that matter. About The Team You will join a team of engineers and applied scientists with a proven track record of solving highly complex, ambiguous problems - work that has produced patents and publications at top-tier conferences. The team has direct visibility to senior Prime Video leadership and collaborates broadly across Commerce, Content, and Platform teams to shape how customers discover, subscribe to, and engage with video content. This is a team that operates at the intersection of rigorous research and real-world impact, where your ideas move from whiteboard to production for hundreds of millions of customers. Basic Qualifications Experience in patents or publications at top-tier peer-reviewed conferences or journals Experience programming in Java, C++, Python or related language Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing Experience in building machine learning models for business application PhD, or a Master's degree and experience in CS, CE, ML or related field research Preferred Qualifications Experience using Unix/Linux Experience in professional software development Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Company Amazon Development Centre (London) Limited Job ID: A