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London sets the perfect stage for The Standard's first European flagship and since opening in 2019, The Standard, London has firmly established itself as one of the capital's most dynamic lifestyle hotels. Set in King's Cross within the hotel's iconic brutalist building, The Standard brings its design-led, culture-driven, activation-heavy philosophy to the heart of the city. With 266 guestrooms ranging from snug Cosy Cores to terraced suites with outdoor bathtubs overlooking St Pancras Station, the hotel has become both a neighbourhood fixture and an international destination. A constant programme of Happenings, from DJs and brunches to live music and cultural panels keeps our spaces alive from early morning through late night. Our Restaurants, Bars and Rooftop terraces are legendary. Isla offers seasonal, produce-led menus on a serene garden terrace; Double Standard pairs American diner spirit with British pub classics; The Rooftop serves cocktails and pizza with panoramic London views; and Decimo brings bold Mexican Spanish cooking, mezcal and skyline views via our iconic red-pill lift. Together, these venues create a complex, high-volume, multi-outlet operation welcoming hotel guests, London locals and international visitors alike. In London, The Standard's signature mix of playful, sophisticated and unexpected hospitality continues to evolve, rooted firmly in the culture and energy of the city. We are now looking for a Director of Engineering who will embody our Anything but Standard ethos and lead the continued performance, protection and evolution of our iconic building. Your role As our Director of Engineering, you will work in partnership with our General Manager, Senior Executive team and Ownership to oversee the Engineering function of The Standard, London. As part of our senior leadership team, you will be responsible for the overall management of the hotel's building systems, plant, equipment and physical assets. You will ensure that every area of the property, from guest rooms and public spaces to kitchens, rooftop venues and back-of-house, operates seamlessly, safely and efficiently. You will lead and inspire our in-house Engineering team, including Shift Engineers and trade specialists, ensuring the department delivers both reactive and planned maintenance to the highest possible standards. In addition, you will oversee specialist contractors and service providers, ensuring compliance, quality and value across all service agreements. From a strategic perspective, you will manage the Engineering operating budget and annual Capex plan, leading capital projects and lifecycle planning to protect and enhance this architecturally significant building. You will oversee all statutory compliance including Health & Safety, Fire Safety and Building Safety regulations, ensuring all testing, certification and documentation is maintained to the highest standards. This is not a back-office engineering role. You will be highly visible across the property, supporting operations during high-profile events and activations, ensuring systems perform flawlessly within a fast-paced, high-volume lifestyle environment. Do you have what it takes to be our Director of Engineering at The Standard, London? While we take every detail of design and guest experience seriously, we do not take ourselves too seriously. Standard People are at the heart of our brand, vivid, dynamic and engaging. You will instinctively understand the unique microcosm of our venues and the city you represent. To be successful in this role you will have: A minimum of 5+ years' experience in a senior Engineering leadership role, with at least 2-3 years as a Director of Engineering or Chief Engineer within a lifestyle, boutique or large 4 or 5 star hotel A recognised trade qualification in Electrical, Mechanical, Gas, Plumbing or Refrigeration, with strong working knowledge of hotel systems and BMS A solid understanding of UK Health & Safety, Fire Safety and Building Safety legislation Proven experience managing and developing a visible, multi-skilled engineering team Strong financial acumen including management of operating budgets and Capex Demonstrated experience delivering complex engineering or refurbishment projects Exceptional communication skills with the confidence to build strong relationships at all levels of the business You will be highly organised, detail focused and commercially aware, with the ability to remain calm under pressure and thrive in a high-energy, culturally driven environment. If you think you have what it takes to be our Director of Engineering at The Standard, London, we would love to hear from you. All applicants must be eligible to live and work in the UK. Documented evidence of eligibility will be required prior to commencing employment. Bonus Scheme Business & Personal Travel Insurance 33 Days Holiday Pension Scheme Life Assurance (4 x Annual Salary) Medical Assistance (including online GP and Physio) Employee Assistance Programme with Well-being service Membership to Headspace Meditation app Worldwide Travel Discounts via The Standard Advantage platform Employee & Family Rates across all Standard and Hyatt properties world wide Growth and Development opportunities internationally with Hyatt In-house Experience Programme F&B Discounts ranging from 25-50% Recruitment Referral Bonus up to £1,000 Tuition Aid Scheme & subsidised training Season Ticket Loan & Bike 2 Work Scheme Social Committee with regular monthly social activities

The Automated Trading Strategies (ATS) group is responsible for systematic trading across FX, Rates, Commodities, and Credit markets. The team is responsible for a broad scope including the design and implementing of cutting edge proprietary quantitative models that drive our automated trading systems (pricing, risk management and execution), the oversight of day-to-day risk and operations, and the optimization Franchise client liquidity offering in a data-driven manner. Job Summary As an Associate AI/ML Researcher within Automated Trading Strategies team, you will accelerate our efforts on applying latest AI/ML methods on systematic trading strategy R&D. As part of a small focused team with minimal bureaucracy, you will have great independence to pursue the research directions you think would be most impactful. You are enabled with enough computational resources, and supported by excellent data and engineering teams to realize your vision. Your work will be deployed directly into production trading with P&L responsibility. The field is complex and often requires creative problem-solving, but it's also a great chance to learn and grow professionally. You will be responsible for improving every part of our models: from featurization of data, to architecture design, to training dynamics, to how trading decisions are made. You will be part of a fast-growing effort and have the opportunity to have a holistic view of market making & exchange trading, including alpha generation, portfolio construction/optimization and trade execution algorithms. This position does not require prior finance knowledge or experience. Candidates with experience in technology, AI or research institutions are strongly encouraged to apply. Job Responsibilities Apply AI/ML model to find predictive pattern from large dataset Integrate prediction model into existing strategies or setup new one Contribute to team's AI/ML libraries as well as production algo system Required qualifications, capabilities, and skills Experience in machine learning and deep learning research for any domain Relevant experience using frameworks such as PyTorch, TensorFlow or equivalent Strong engineering skills valued, efficiency in other languages (Java/C++/C#) beyond Python Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to meeting UK regulatory requirements in the assessment of fitness, propriety, knowledge and competence (as assessed by the Firm) and (where appropriate) approval by the UK Financial Conduct Authority and/or the Prudential Regulation Authority to carry out such activities.

HackerOne is a global leader in Continuous Threat Exposure Management (CTEM). The HackerOne Platform unites agentic AI solutions with the ingenuity of the world's largest community of security researchers to continuously discover, validate, prioritize, and remediate exposures across code, cloud, and AI systems. Through solutions like bug bounty, vulnerability disclosure, agentic pentesting, AI red teaming, and code security, HackerOne delivers measurable, continuous reduction of cyber risk for enterprises. Industry leaders, including Anthropic, General Motors, Goldman Sachs, Lufthansa, Uber, UK Ministry of Defence, and the U.S. Department of Defense, trust HackerOne to safeguard their digital ecosystems. HackerOne was recognized in Gartner's Emerging Tech Impact Radar: AI Cybersecurity Ecosystem report for its leadership in AI Security Testing and has been named a Most Loved Workplace for Young Professionals (2024). HackerOne is at a pivotal inflection point in the security industry. Offensive security is no longer optional - it is the standard for forward-thinking companies that want to build trust and resilience in a world where AI-driven innovation and adversaries are moving faster than ever. With the industry shifting, HackerOne stands apart: we combine the ingenuity of the largest security research community with a best-in-class AI-powered platform, trusted by the world's top organizations. HackerOne Values HackerOne is dedicated to fostering a strong and inclusive culture. HackerOne is Customer Obsessed and prioritizes customer outcomes in our decisions and actions. We Default to Disclosure by operating with transparency and integrity, ensuring trust and accountability. Employees, researchers, customers, and partners Win Together by fostering empowerment, inclusion, respect, and accountability. Senior Sales Engineer Remote Location: London, UK Position Summary HackerOne is looking for a Senior Sales Engineer to join a fast-growing company that is bringing a fresh and disruptive approach to information security. You will partner directly with Account Executives and Channel Partners to successfully prospect and sell into specific accounts where your technical and domain expertise makes the difference. As the technical expert, you will work with prospects to understand their business problems, technical architecture, and attack surface to design the right solution. You will also work closely with product and engineering to bring the sales perspective to product roadmap discussions. You will become an evangelist for the power of hackers and HackerOne. What You Will Do Partner with the sales team to provide technical and domain expertise for specific opportunities, develop account strategies, and uncover additional business opportunities Develop and deliver demonstrations of the HackerOne platform tailored to a specific customer's business and use case Own the technology evaluation stage of the sales process with our prospects of various technical levels Develop documentation and workflows specific to a customer's implementation plan Lead tailored product workshops and deep dives in key accounts Analyze feature requests from customers and prospects and provide feedback to our engineering and product management teams to help orient the product roadmap Provide technical perspective on active deals and help accurately forecast deals Support marketing by evangelizing HackerOne and hackers in general at trade shows, conferences, and webinars Stay on top of industry news and developments to provide and maintain a deep industry and domain expertise Minimum Qualifications 5+ years of pre sales experience with at least 3 years working with Enterprise customers 2+ years of security experience in a Software as a Service product, understand security fundamentals and common vulnerabilities (e.g. OWASP Top Ten, can scope a pentest, can price a bounty reward) Excellent communication, presentation, and demonstration skills. This role requires you to understand and articulate both the business value and technical advantages of our platform. Passionate about technical sales and working with prospective buyers and customers to understand their business and challenges Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team A highly self-motivated and creative problem solver A continuous learner Ability and willingness to travel Preferred Qualifications Experience cross-selling or upselling Enterprise, Strategic, or Named customers to expand their usage. Experience with vulnerability management, penetration testing, or red teaming assessments. Ability to take feedback early in the sales process and synthesize it into actionable feature requests for our product development team. Compensation Base: £94,000 - £115,000 OTE: £126,000 - £154,000 Offers Equity Job Benefits: Health (medical, vision, dental), life, and disability insurance Equity stock options Retirement plans Paid public holidays and unlimited PTO Paid maternity and parental leave Leaves of absence (including caregiver leave and leave under CO's Healthy Families and Workplaces Act) Employee Assistance Program Eligibility may differ by country We're committed to building a global team! For certain roles outside the United States, India, the U.K., and the Netherlands, we partner with as our Employer of Record (EOR). Visa/work permit sponsorship is not available. Employment at HackerOne is contingent on a background check. HackerOne is an Equal Opportunity Employer in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, pregnancy, disability or veteran status, or any other protected characteristic as outlined by international, federal, state, or local laws. This policy applies to all HackerOne employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. HackerOne makes hiring decisions based solely on qualifications, merit, and business needs at the time. For US based roles only: Pursuant to the San Francisco Fair Chance Ordinance, all qualified applicants with arrest and conviction records will be considered for the position.

Head of Structures Reporting line: The Head of Structures will report directly to the Technical Director. DEPARTMENTAL OVERVIEW The Structural engineering department sits within the Technical Team and is responsible for establishing load case strategies, development of structural concepts, analysing and engineering components and assemblies and thus maturing the concepts into detail production designs for our eFoiler Propulsion and Vessels. All of these activities need to be performed in close collaboration with the other departments. THE ROLE The Head of Structures will lead a team in the design and development of Artemis Technologies eFoiler with primary focus on composite and metallic structures, working at vessel and hydrofoils level with Naval Architecture and Mechanical Systems departments. KEY RESPONSIBILITIES / ACCOUNTABILITIES Lead the Structural Engineering department with technical project planning, resource management, setting and maintaining engineering best practice as well as providing mentorship and inter-department communication to create a rewarding and positive work environment Establish and evolve strong methodologies and documentation standards Assist in the development of functional briefs with the Technical Team and support in the technology roadmap. Help define, check and refine technical feasibility of concepts, support manufacturing scenarios, business case strategies and weight estimates Working with the ATL design team, the structural engineering department is responsible for the Artemis eFoiler vessels: Structural engineering of Artemis eFoiler (hydrofoils and vessel integration). Structural engineering of Hull & Superstructure. Structural engineering of Systems and Components. Deliver innovative 3D designs for components & assemblies, focused on lightweight composite and metallic components / structures. Design Check & Approval in accordance with ATL Approval processes. Carry out FEA and utilise hand calculations to verify designs as required. Review and approve technical documentation to support development, test and compliance activities. Supporting the technical group with dedicated solutions and interpretation of structural requirements and regulations that the various vessels maybe subject to. Collaborate with Manufacturing department to deliver high quality and cost-effective construction and engineering methods. Work closely with all members of the Technical Department to ensure the full eFoiler package is of the highest standard. Ensure that the structural deliverables meet all relevant regulations. Attend team and 1-1 meetings and fulfil reporting requirements as required by Artemis Technologies. Ensure compliance with Artemis Technologies Policies and procedures. Build good working relationships across Artemis Technologies. Contribute to shaping a culture that reflects Artemis Technologies Values and Guiding Principles and enables the company to achieve its goals. KNOWLEDGE AND SPECIALIST SKILLS: Education University degree in Mechanical Engineering / other relevant engineering discipline such as Automotive or Aerospace (2:1 Hons or above). Experience Minimum of 10 years of experience working in Structural analysis. Minimum of 5 years of experiencemanaging and leading a Structural analysis team. Key Skills Required Technical Skills In depth understanding of structural mechanics and first principles and the ability to analytically solve problems using a first principles approach. Experience in structural engineering across a range of materials in component and assembly design. Demonstrated experience in design for manufacture and material selection. Solid experience in concept generation and proving of feasibility using analysis techniques from handcalcs to advanced computer methods. FEA experience and in-depth understanding. CAD knowledge and experience (CATIA V6/3DX preferred). Able to undertake and interpret design analysis / verification through use of CAE. Knowledge or experience with maritime structures, hydrodynamics and fatigue analysis would be a plus. Communication skills Demonstrable ability of capturing complex requirements. Good report writing skills - clear, concise, and well structured. Articulate written, visual, and verbal communicator. Excellent listening, negotiation, and presentation skills. Teamworking Excellent relationship management skills with the ability to engage, negotiate and resolve. An appreciation of, and an ability to, positively resolve issues arising from different cultures. Ability to relate well to others, and build co-operative and collaborative working relationships, both internally and externally. Genuine ability to act as a team player, promote. Organising and Time Management Results orientated with ability to plan and deliver against project deadlines. Ability to coordinate with other departments and flag issues. Flexibility to pivot direction quickly to meet deadlines whilst focusing on multiple deliverables simultaneously. Dedication to completing tasks in high quality and timely manner with an ability to predict complex project timelines. Life at Artemis Technologies At Artemis Technologies, you will not just be starting a new job - you are joining a passionate team. Everything we do is driven by our purpose and mission: to decarbonise high-speed maritime transport and lead the RACE towards a sustainable future. We CARE for our planet, and our people, who are helping us protect it - that includes you. At the heart of our culture are four core values that connect us, shape the way we collaborate, and guide the meaningful impact we strive to make together: We are Accountable You'll be trusted to take ownership, face challenges head-on, and contribute to meaningful solutions. We value people who are committed, prepared, and take pride in getting things done right. We are Responsible Integrity, honesty, and respect are at the core of how we work. You'll be part of a team that supports each other, follows through, and always strives to do the right thing - for each other and for the planet. We are Entrepreneurial We think big, stay curious, and welcome new ideas. You'll be encouraged to innovate, question the norm, and go the extra mile - because progress demands bold thinking and practical action. We are Collaborative You're joining a high-energy, friendly team that believes in the power of working together. We build trust, lift each other up, and share success as one team. Work is just one part of life here. We're proud to foster an inclusive culture where everyone can thrive-and have fun along the way. From team socials and wellness activities to events for you and your family, we make time to enjoy the journey, build real connections, and celebrate what matters most. We're proud of what we do - and even more proud of how we do it, together, building a more sustainable future, one wave at a time. Remuneration Artemis Technologies Ltd offers a competitive salary commensurate to the successful candidate's experience, plus a comprehensive benefits package which includes: Private Medical Insurance. Health Cashback Plan. Group Income Protection Stakeholder Pension Sponsored Translink annual travel card loan scheme. Cycle to Work scheme. Electric Vehicle scheme. Life Insurance (3 x salary) Employer Assistance Programme. 22 days holiday plus 13 public/bank/closure holidays (pro-rata). You will also accumulate up to 5 service-related holidays over your first five years of employment. Regular social events (staff and family). Equal Opportunities Artemis Technologies is an equal opportunities employer and therefore is committed to promoting diversity and equality of opportunity and does not discriminate, whether on grounds of race, gender, sexual orientation, gender re assignment, disability, age, class, religion or belief, community background or passport held. These principles underpin our professional behaviour and are embedded in our policies, procedures, day to day practices, and external relationships. We therefore welcome and encourage job applications from a fully diverse range of candidates. We monitor the community background and sex of our job applicants and employees in order to demonstrate our commitment to promoting equality of opportunity in employment and to comply with our duties under the Fair Employment & Treatment (NI) Order 1998. If you do not answer the related application questions, we are encouraged to use the residuary method of making a determination, which means that we can make a determination as to your community background on the basis of the personal information supplied by you in your application form. Note: If you provide these details you are obliged to do so truthfully as it is a criminal offence under the Fair Employment (Monitoring) Regulations (NI) 1999 to knowingly give false answers to these questions. Privacy We are committed to protecting the privacy and security of your personal information as per the terms of our Privacy Policy, available on request from Artemis Technologies Ltd.

Head of Testing (Manchester / Cheltenham / London) About Finova Finova is the UK's largest financial services technology provider, supporting one in every five mortgages nationwide. Our agile, cloud-native solutions enable over 60 banks, building societies, specialist lenders, equity release providers and a network of 2,400+ brokers to stay ahead in a competitive market. Built on open architecture and backed by deep industry expertise, our platform is designed to scale. Each year, we process over £50 billion in loans, manage nearly £50 billion in savings, and support the digital servicing of more than 650,000 UK borrower accounts. Be part of a team that's driving innovation, enabling growth and shaping the future of UK lending. For Lenders Finova offers a flexible, modular technology suite designed to help lenders move faster, scale efficiently and deliver standout digital experiences. Financial Institutions use Finova to launch products faster, process applications up to 50% more efficiently and reduce operational costs - all while staying fully compliant in a fast-moving market. About the role We're looking for a senior testing leader to take full ownership of quality across Finova's three platforms; Enterprise, Apprivo and MSO. This role exists to bring clarity, credibility and consistency to how testing is understood, planned and executed, both internally and with customers. Over the next 12 months, your impact will be measured by the confidence you build in our testing strategy, the uplift in modern and automated testing practices, and the strength of customer trust in our testing teams. You will be the senior authority shaping testing theory, defining principles, and ensuring testing is embedded early in delivery. This is a highly visible, customer-facing position with accountability for leading a 50-strong testing organisation and transforming our approach into one that is modern, automation-led and recognised by customers as expert and advisory not just execution-focused. What you'll be doing End-to-end ownership of testing & quality Own testing and quality outcomes across all platforms (Enterprise, Apprivo, MSO). Establish clear testing principles, standards and risk thresholds for the organisation. Embed testing early in design and delivery decision making. Act as the senior owner for testing related risk, trade offs and escalations. Customer facing testing leadership Represent Finova as a credible, senior testing authority in customer engagements. Clearly explain and defend testing strategies, rationale and decisions to customers. Provide assurance on coverage, risk and readiness for complex changes, migrations and high risk releases. Step in directly where customer confidence needs rebuilding or reinforcement. Testing strategy, theory & approach Define and communicate Finova's overarching testing philosophy and theory. Ensure teams can articulate both why and how testing is performed. Translate theory into practical, scalable and repeatable delivery models. Test planning & execution assurance Oversee and assure test strategies and test plans for major deliveries. Support teams in designing robust, proportionate plans aligned to customer risk appetite. Ensure clear communication of test coverage and outcomes to customers. Intervene when planning or execution quality is weak or inconsistent. Automation & modern testing transformation Lead the transition to automation led, engineering focused testing practices. Demonstrate fluency across automated testing technologies used across multiple stacks. Balance automation with appropriate manual and exploratory testing approaches. People & capability leadership Lead, mentor and develop a 50 person testing organisation, including customer facing roles. Build capability to operate confidently with both customers and delivery partners. Upskill teams in automation, modern testing theory and customer communication. Foster a culture of professionalism, ownership and continuous improvement. About you You will be a strong fit for this role if you are: Customer centric and confident operating directly with senior stakeholders. Technically credible, with deep understanding of modern testing practices, automation and testing theory. Pragmatic and calm under pressure, able to make balanced decisions around risk and trade offs. An exceptional communicator, capable of turning complex testing concepts into customer ready assurance. A transformational leader, passionate about elevating teams, maturing practices and driving measurable improvements in quality. What We Offer Hybrid working: At Finova, we believe the best outcomes come from working together - and having the flexibility to work in a way that suits both our people and our business. We operate a hybrid working model, with most teams spending around three days a week in the office and with our customers. This time together helps us stay connected, collaborate more effectively, and solve complex challenges as a team. We also know that flexibility matters. Our approach is designed to support a healthy balance, combining in person collaboration with the freedom to work remotely where it makes sense. Holiday 25 days holiday plus bank holidays, bank holiday trading and holiday purchase options, the opportunity to work from anywhere in the world for up to 4 weeks per year. Looking After You Life Assurance, Group Income Protection, Private Medical Insurance, a pension scheme via Salary Exchange, an Employee Assistance Programme, and access to a Virtual GP. Family Friendly Policies Enhanced maternity and paternity pay, as well as paid time off for fertility treatments and pregnancy loss. Extra Perks Cycle to Work Scheme, discounts on shops, restaurants, and gym memberships, free fresh fruit daily, and opportunities to join colleague networks and social groups. Giving Back One paid volunteering day annually and the Give As You Earn scheme to support your favourite charities. Equal Opportunity Statement We value diversity and are committed to creating an inclusive environment for all employees. If you're passionate about this role but don't meet all the criteria, please reach out-we'd love to discuss how your skills and experiences align with our needs.

AI Fellow (AI4Science), AI Initiative, Global Health Programs page is loaded AI Fellow (AI4Science), AI Initiative, Global Health Programslocations: United Kingdom, London Project Officetime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: March 9, 2026 (12 days left to apply)job requisition id: JR2427PATH current employees - please log in and applyPATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world's most pressing heath challenges. PATH's AI Initiative is pioneering the use of generative AI and other advanced digital technologies to accelerate biomedical discovery, strengthen regulatory systems, and enhance the safety and scalability of digital healthcare.The Research Fellow will be a key member of the AI4Science team, working under the supervision of the Deputy Director (AI4Science) and the Chief AI Officer to deliver research across the team's portfolio. You will have a particular focus on a flagship programme funded by FCDO that aims to accelerate global health research through AI Co-Scientist tools. This programme includes developing a benchmarking framework for evaluating AI Co-Scientist tools, running real-world demonstration projects in areas such as mental health therapeutics, antimicrobial resistance, and malaria vector control, and establishing a secretariat to support partners in adopting AI-for-science workflows.This is a hands-on role ideal for an applied researcher (post-PhD or equivalent) who enjoys experimentation, interdisciplinary collaboration, and translating emerging AI capabilities into real scientific workflows. You will own specific workstreams within the AI4Science portfolio, from experimental design through execution and publication, while collaborating closely with senior technical leadership and external partners. You will develop and test AI-assisted scientific workflows, and contribute to the growing evidence base for how AI can accelerate biomedical discovery. You will also contribute to the wider AI4Science portfolio, including work on vaccine development and other projects as they arise. This role does not necessarily require developing new foundation models, but does require strong fluency in applying, evaluating, and orchestrating modern AI systems (including LLMs and agentic workflows) specifically for scientific research.If you're a researcher who wants to work at the cutting edge of AI and biomedical science, with the opportunity to see your work translate into real-world impact for underserved communities, this could be the role for you. Responsabilities : Contribute to and, where appropriate, lead research activities across multiple projects within the AI4Science portfolio, including: Designing, building, and iterating benchmark evaluations for AI Co-Scientist tools, covering tasks such as knowledge retrieval, reasoning, robustness, rediscovery, and adversarial testing. Supporting the delivery of real-world demonstration projects (e.g., mental health therapeutics, AMR susceptibility testing, malaria vector control), including facilitating expert workshops, running AI-assisted hypothesis generation exercises, and coordinating small-scale lab validation studies with partners. Contributing to a landscape mapping exercise to catalogue and functionally test available AI Co-Scientist tools. Practical coordination support to help FCDO partners articulate research questions, select appropriate AI tools, and execute guided research sprints. Contributing to other AI4Science projects, such as work on identifying novel correlates of protection to accelerate vaccine development using agentic AI workflows. Apply and develop quantitative research methods (e.g., experimental study design, statistical analysis) and technical AI methods (e.g., prompt engineering, agent architecture design, evaluation method development) both independently and in collaboration with partners. Contribute to the technical writing of study protocols, donor reports, peer-reviewed publications, and the publicly accessible AI4Science Playbook. Support the development and maintenance of collaborations with academic, industry, and Global South research partners. Project Support & Coordination Support the Deputy Director in ensuring the timely delivery of project outputs, including compliance with PATH and donor research ethics and data protection standards. Contribute to donor reporting and, as needed, serve as a technical point of contact for partners on specific project workstreams. Collaborate with colleagues across the AI initiative (including the Health and Regulatory Policy teams) and the wider organisation to advance cross-cutting objectives. Learning & Professional Development Stay current with the rapidly evolving AI-for-science landscape and proactively share insights with the team. Contribute to PATH's thought leadership in AI and global health, including through conference presentations, blog posts, and other external engagement. As the team grows, provide informal mentorship and technical guidance to more junior colleagues or interns. Required Skills & Experience PhD (or equivalent research experience) in a relevant subject, such as computational biology, bioinformatics, machine learning, immunology, chemistry, or a related biomedical or quantitative discipline. Demonstrable coding skills (Python preferred) sufficient to comfortably carry out independent AI research and prototyping, including experience working with large language models, AI/ML pipelines, or agentic workflows. Familiarity with, or strong interest in, one or more of the following: AI benchmarking and evaluation, natural language processing, agentic AI architectures. Experience in molecular design, drug discovery, and/or infectious disease biology is a significant plus. At least one peer-reviewed publication (or equivalent evidence of research output). A Passion for Applied Research You are motivated by research that has a real-world impact. You're excited by the idea of your work contributing to new treatments, better diagnostics, or more effective vector control - not just another paper. Rigour and Resourcefulness You can design sound experiments, handle messy data, and troubleshoot when things don't work as expected. You're comfortable working across disciplines and picking up new methods quickly. Strong Communication Skills You can explain complex technical work clearly to non-specialist audiences, write well, and collaborate effectively with researchers from diverse backgrounds and geographies. Comfort with Uncertainty The AI-for-science field is evolving fast, and this programme is deliberately exploratory. You thrive in environments where the path forward isn't always clear and you're energised (rather than daunted) by that. A Collaborative Mindset You work well as part of a small, agile team embedded in a large organisation. You're willing to support colleagues, share credit, and contribute to a positive team culture. To be selected, you must have legal authorization to work in the UK.

McDonald's has an incredible and exciting opportunity for a Learning Experience Design Consultant on the Global Learning & Development team. In this role, you will be part of the Global Learning Design and Technology team during a period of unprecedented innovation and advancement. As a Learning Experience Designer, you will work closely with Experience Design Managers on assigned projects. This includes designing global, modern learning experiences that drive behaviour change through immersive, engaging experiences and preparing the content for global deployment in over 12 languages. All this to enable performance excellence in McDonald's restaurants every day resulting in engaged employees delivering delicious food and feel-good customer experiences Responsibilities In addition to following McDonald's policies and procedures, principal accountabilities include, but are not limited to: Leads and project manages assignments through the learning experience design process, including those supported by external vendor partners or global team members Designs and develops immersive, engaging, multi-modal human-centered learning experiences using varied media and digital learning tools to achieve business and related behavioural objectives Brings stakeholders and learning team leadership and peers along on the journey to gain buy-in throughout and gather feedback along the way Complete quality reviews and testing of digital learning experiences to ensure product looks good and functions correctly on all targeted devices, completes successfully, and is free of grammatical and branding issues Partners with program managers, peer designers, learning technology and global/market learning teams to provide subject matter expertise on instructional design theory, modalities, content, implementation, engagement, and learning strategies Consults and architects learning experiences on complex learning projects focused on driving behaviour change and elevating the employee experience Provides support in the piloting / implementation of new programs and acts as a liaison to the Learning Technology and Information Technology Support groups, markets, contractors and vendors Networks externally, researches, and experiments with leveraging emerging industry best practices, methodologies, and innovative solutions that enhance and reimagine the learner experience Conducts needs assessments and gains agreement with key stakeholders on program outcomes and success metrics Engages with learners and key stakeholders to gather user/stakeholder feedback, test theories (including conducting prototype labs), design and validate program effectiveness Uses qualitative and quantitative data-driven insights to improve learning experience design and execution; shares best practices and lessons learned Collaborates with small and large teams to achieve goals Crafts communication plans and assets to support the deployment of learning initiatives across markets to drive awareness and adoption - motivating learners to be excited by the offerings

Data Science Manager page is loaded Data Science Managerremote type: Hybridlocations: Belfast - 20 Adelaide Streetposted on: Posted Todayjob requisition id: JR-Huron is a global consultancy that collaborates with clients to drive strategic growth, ignite innovation and navigate constant change. Through a combination of strategy, expertise and creativity, we help clients accelerate operational, digital and cultural transformation, enabling the change they need to own their future. Join our team as the expert you are now and create your future. Data Science Manager We're seeking a Data Science Manager to join the Data Science & Machine Learning team in our Commercial Digital practice, where you'll lead advanced analytics initiatives that transform how Fortune 500 companies make decisions across Financial Services, Manufacturing, Energy & Utilities, and other commercial industries.Managers play a vibrant, integral role at Huron. Their invaluable knowledge reflects in the projects they manage and the teams they lead. Known for building long-standing partnerships with clients, they collaborate with colleagues to solve their most important challenges. Our Managers also spend significant time mentoring junior staff on the engagement team-sharing expertise, feedback, and encouragement. This promotes a culture of respect, unity, collaboration, and personal achievement.This isn't a reporting role or a dashboard factory-you'll own the full analytics lifecycle from hypothesis formulation through insight delivery, while leading and developing a team of data scientists and analysts. You'll work on problems that matter: experimental designs that validate multi-million-dollar strategies, predictive models that surface hidden patterns in complex data, and deep learning pipelines that extract signal from unstructured text, images, and time-series. Our clients are Fortune 500 companies looking for partners who can find the signal in the noise and tell the story that drives action.The variety is real. In your first year, you might lead a customer segmentation and lifetime value analysis for a financial services firm, design and analyze a pricing experiment for a global manufacturer, and build an agentic anomaly detection system for a utility company's operational data-all while developing the next generation of data science talent at Huron. If you thrive on rigorous analysis, clear communication of complex findings, and building high-performing teams, this role is for you.# What You'll Do Lead and mentor junior data scientists and analysts -provide technical guidance, review analytical approaches and code, and support professional development. Foster a culture of intellectual curiosity, rigorous methodology, and clear communication within the team. Manage complex multi-workstream analytics projects -oversee project planning, resource allocation, and delivery timelines. Ensure analyses meet quality standards and client expectations while maintaining methodological rigor. Design and execute end-to-end data science workflows -from problem framing and hypothesis development through exploratory analysis, modeling, validation, and insight delivery. Own the analytical approach and ensure conclusions are defensible. Lead development of both traditional statistical and modern AI-powered analyses -including regression, classification, clustering, causal inference, A/B testing, and modern deep learning approaches using embeddings, transformer architectures, and foundation models for text, time-series, and multimodal analysis. Build predictive and prescriptive models that drive business decisions-customer segmentation, churn prediction, demand forecasting, pricing optimization, risk scoring, and operational efficiency analysis for commercial enterprises. Translate complex analytical findings into actionable insights -create compelling data narratives, develop executive-ready presentations, and communicate technical results to non-technical stakeholders in ways that drive decisions. Serve as a trusted advisor to clients -build long-standing partnerships, deeply understand business problems, formulate the right analytical questions, and deliver insights that create measurable value. Contribute to practice development -participate in business development activities, develop reusable analytical frameworks and methodologies, and help shape the technical direction of Huron's DSML capabilities.# Required Qualifications 5+ years of hands-on experience conducting data science and advanced analytics -not just ad-hoc analysis, but structured analytical projects that drove business decisions. You've framed problems, developed hypotheses, analyzed data, and delivered insights that created measurable impact. Experience leading and developing technical teams -including coaching, mentorship, methodology review, and performance management. Demonstrated ability to build high-performing teams and develop junior talent. Strong Python and SQL programming skills with deep experience in the data science ecosystem (Pandas, NumPy, Scikit-learn, statsmodels, visualization libraries). Comfortable writing production-quality code, not just notebooks. Solid foundation in statistics and machine learning : hypothesis testing, regression analysis, classification, clustering, experimental design, causal inference, and understanding of when different approaches are appropriate for different questions. Experience with deep learning and modern neural architectures -understanding of transformer models, embeddings, transfer learning, and how to leverage foundation models for analytical tasks. You know when ML approaches add value over classical methods, and how to integrate them into rigorous analytical workflows. Proficiency with data platforms : Microsoft Fabric, Snowflake, Databricks, or similar cloud analytics environments. You're comfortable working with large datasets and can optimize queries for performance. Exceptional communication and data storytelling skills -ability to distill complex analyses into clear narratives, create compelling visualizations, lead client meetings, and build trusted relationships with executive audiences. This is non-negotiable. Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related quantitative field (or equivalent practical experience). Flexibility to work in a hybrid model with periodic travel to client sites as needed.# Preferred Qualifications Experience in Financial Services, Manufacturing, or Energy & Utilities industries. Background in experimental design, A/B testing, and causal inference methodologies-including propensity score matching, difference-in-differences, or instrumental variables. Hands-on experience with deep learning frameworks (PyTorch, TensorFlow) and neural architectures-including transformers, attention mechanisms, and fine-tuning pretrained models for NLP, time-series, or tabular data applications. Experience building AI-assisted analytical workflows-leveraging foundation model APIs, vector databases, and retrieval systems to accelerate insight extraction from unstructured data. Experience with Bayesian methods, probabilistic programming (PyMC, NumPyro, etc.), or uncertainty quantification in business contexts. Strong visualization and data interface design and development skills using programmatic visualization libraries (Plotly, Altair, D3). Proficiency with AI-assisted rapid data application development using Cursor, Lovable, v0, etc. Experience with time-series analysis, forecasting methods (ARIMA, Prophet, neural forecasting), and demand planning applications. Cloud certifications (Azure Data Scientist, Databricks ML Associate, AWS ML Specialty). Consulting experience or demonstrated ability to work across multiple domains and adapt quickly to new

What we do: At Goldman Sachs, our Engineers don't just make things - we make things possible. We strive to change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Fixed Income, Currencies and Commodities trading is a key revenue generating division for Goldman Sachs and Interest Rate Products form a large part of that business. The Interest Rate Products (IRP) Trading & Sales desk assists Goldman Sachs' clients in managing their exposure to interest rate risk by offering a range of financial instruments. This is a critical function for our clients and the firm, and the products offered range from simple government bonds and vanilla Interest Rate Swaps to more exotic structured interest rate derivatives. Engineering is comprised of our Technology Division and Global Strategists groups. It is at the center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here. Who we look for: Goldman Sachs Engineers are innovators and problem-solvers, building solutions in order management, big data, pricing and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. As an Interest Rate Product Engineer, you will play a key role in developing software solutions that will help institutional clients buy and sell interest rate related financial instruments on liquidity venues around the world. In addition, you will also be challenged with designing and implementing innovative software solutions that will enable IRP Trading and Sales efficiently their manage their risk, positions and PNL. We look for individuals who are able to embrace AI to help design, build as well as incorporate AI into trading workflows. You will be expected to work closely with a number of internal clients including trading, sales, strategists and operations and will be involved in every stage of the software development life-cycle. Given the global nature of the business, you will often work with counterparts in other regional offices on projects and learn about different local markets and different financial products as well. Basic Qualifications: STEM degree Strong hands on programming experience, in at least one object oriented language (Java / Python) Proficient in AI assisted development Knowledge of data structures, algorithms, and designing for performance Solid communication and interpersonal skills are a must given that the role will involve interacting with traders & salespeople Preferred Qualifications: Experience in Java or Python (5 years +) Experience in messaging middleware like Kafka, RabbitMQ Experience in developing and testing distributed systems DAILY ACTIVITIES: Interact with users to understand business flows and define requirements. Implement new software and enhancements to existing systems. Contribute to Quality Control (Code/Design reviews). Provide L3 application support. Provide technical support to trading, sales and operations. Review incidents and identify root causes and follow ups. ABOUT GOLDMAN SACHS: At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law

GLOBAL BANKING AND MARKETS Our core value is building strong relationships with our institutional clients, which include corporations, financial service providers, and fund managers. We help them buy and sell financial products on exchanges around the world, raise funding, and manage risk. This is a dynamic, entrepreneurial team with a passion for the markets, with individuals who thrive in fast-paced, changing environments and are energized by a bustling trading floor. WHAT WE DO Engineers in the Systematic Market Making (SMM) team play an integral role on the trading floor. We develop and employ automated trading strategies for the firm and its clients. We build complex electronic trading pricing and trading systems and tools to generate market signals. Throughout the Global Banking and Markets Division (GBM), eTrading Engineers use quantitative and technological techniques to solve complex business problems. As an eTrading Engineer, you will be building the foundational technologies to run those algorithms on markets around the world, and to enable the research and analysis that support them. We are looking for developers who are interested in applying leading edge technologies to solve problems in electronic trading. In a team of energetic, self motivated individuals, we need someone who can take the initiative at any stage of the software cycle, from inception, through development, to release and support. This role also interacts with a variety of other engineering, strats, trading and sales teams. The structure is flat and the successful candidate will be able to manage their own time for maximum impact. YOUR IMPACT You will be working on a team focused on electronic market making and execution. You will work with other engineers and traders to improve all aspects of price making, risk management and execution. You'll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world. RESPONSIBILITIES AND QUALIFICATIONS Principal Responsibilities Drive the analysis, design, and implementation of high-performance e trading system enhancements to optimize commercial outcomes and market making capabilities. Ensure the safety, reliability, and resilience of critical trading infrastructure through rigorous testing and deployment practices. Collaborate effectively with traders, quantitative researchers, and other engineering teams to deliver innovative solutions that address complex business problems. Strategically prioritize and manage projects, balancing immediate business needs with long-term architectural goals and technological advancements. Experience/Skills Minimum of 4 years of professional experience in software engineering, with a strong focus on high-performance, low-latency systems. Strong academic foundation in Computer Science, Engineering, Mathematics, Physics, or a related analytical discipline. Expertise in Java and/or C++, with a proven track record in developing and optimizing multi-threaded and concurrent applications. Demonstrated experience in electronic trading or financial markets, understanding the commercial implications of system performance and reliability. Ability to analyze complex data sets to derive actionable commercial insights and drive system improvements. Excellent communication, collaboration, and problem-solving skills. Experience of the following would be advantageous Deep understanding of low-latency system design, including network protocols, messaging frameworks, and hardware architecture considerations. Proficiency with Linux environments and command-line tools for system analysis and debugging. Experience with performance tuning, profiling tools, and memory management for Java/C++ applications.