161 jobs found

Company Description Head of Test role (managing Test Managers) Senior strategic role Join us as we build our capability in readiness for large implementation project. 26 days holiday, and a day off for your birthday Free access to company holiday homes Discretionary annual bonus plus an additional Shared Reward Bonus Health cash plan plus Private medical insurance Life assurance and Critical illness cover Free local gym access This role is based 5 days at our Cheadle office in South Manchester (SK8 3GW) We re Together. For over 50 years, we ve helped thousands of people, businesses and professionals unlock their property ambitions with our common-sense approach to mortgages and secured loans. We take the time to understand our customers and our door is always open, so we can often help when other lenders can t or won t. Based in Cheadle, Cheshire, our 750 colleagues help our customers throughout the UK, backed by the power of a £7 billion loan book. Job Description As Head of Testing, you will have the opportunity to join the next phase of evolution for a long established, well respected organisation. As part of Group Technology Services, you will ensure high quality releases, adherence to internal and external standards and quality controls through manual and automated testing. You will work closely with colleagues through the business and technical teams as part of cross functional teams set up to build and deliver the essential products needed to support the Together business. You will have the opportunity to create a modern automated test strategy for the organisation and to see it through to delivering effective results. You will be a key player in the transformation of Together technical capability. This role will be the ideal challenge for an experienced test expert who is keen on driving organisational level test strategy and execution within a modern cloud enabled DevOps environment. Examples of the key accountabilities of the role Adherence to IT Change and Operational policies and standards Taking ownership of the test strategy and approach across the organisation and leading the test engineering team Define the test strategy for the organisation and oversee the test approach for the major projects and programmes in the portfolio. Lead the management and development of the test engineering capability within Together and the evolution of that capability. Work with the engineering teams to select, deploy and operationalise the right test tools to support Together s strategy Drive a continuous quality culture throughout the technology organisation and be the Qualifications A deep understanding of the strategies needed within an organisation to drive a testing approach which supports continuous integration and delivery and meets the business needs. Ability to lead a team of test engineers delivering work across a number of different delivery streams. Self starting and able to organise yourself to deliver outstanding results Experience in the generation of automated test suites to ensure that requirements are satisfied, including happy and unhappy path approaches Automated testing of complex web applications with multiple workflows and paths Experience of working as part of an agile team, and integrating automated testing into CI/CD pipelines (Microsoft Azure DevOps and AutoRabit for Salesforce) Familiarity with nCino, Salesforce, Azure APIs, or Thought Machine Vault would be useful Experience of testing tools and frameworks such as Postman or AccelQ would be useful Full coverage of Functional, Regression, Load, Performance, Security, and Persona-based testing. Experience of working in an enterprise environment Experience with cloud infrastructure with a specialism in Azure Ability to work collaboratively in a team environment Experience with DevOps Procedures and process and working in an Agile Environment Results oriented with the ability to consistently meet deadlines Additional Information If you feel you have some of the skills mentioned above, but not all, please do still apply and we would be happy to have a further discussion with you in regards to your suitability for the role. Together embraces diversity and inclusion, and are proud to be an equal opportunity workplace. Not only do we welcome difference we celebrate it, support it and really value our colleagues for who they are. We are committed to building a team that represents a variety of backgrounds, perspectives and skills. If you feel you'd benefit from any support or reasonable adjustments during any stage of the recruitment process, please don t hesitate to let us know when completing your application. This information will be picked up by our team, so we can try and put steps in place to help you be at your best through this process. Click here for more information on our Recruitment Process Please note that all successful applicants will undergo relevant employment reference, financial and criminal record checks. Please apply ASAP. We would like to commence interviews in early March

Senior Data Platform Engineer (Snowflake) Locations: Manchester / London / Staines (Hybrid) Type: Permanent, Full-Time (37.5 hours) Salary: £70,% Bonus Excellent Benefits Overview We're hiring a Senior Data Platform Engineer to play a key role in designing, building, and operating a secure, scalable enterprise data platform with a strong focus on Snowflake . This is a senior-level position where you'll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics at scale. You'll operate with a high level of autonomy, contributing to platform standards, improving reliability, and ensuring cost-effective, compliant data operations. Key Responsibilities Design, build, and manage Snowflake platform capabilities within an enterprise data environment Automate infrastructure and resource provisioning using Terraform (IaC) Develop and maintain CI/CD pipelines (GitHub Actions / Azure DevOps) Implement monitoring, alerting, and observability frameworks Lead cost optimisation initiatives across Snowflake workloads Define and enforce security best practices (RBAC, data masking, identity integration) Establish governance and compliance frameworks (audit logging, access reviews) Design and implement disaster recovery and business continuity strategies Create reusable modules, templates, and platform standards Produce high-quality documentation, runbooks, and onboarding materials Required Skills & Experience Strong experience in platform or cloud engineering within enterprise environments Deep expertise in Snowflake (warehousing, RBAC, data sharing, performance tuning) Hands-on experience with Terraform and Infrastructure as Code Proven experience building CI/CD pipelines (GitHub Actions or Azure DevOps) Strong scripting skills ( SQL, Python, or Bash ) Solid understanding of Snowflake security features (masking, encryption, identity federation) Experience with monitoring, query profiling, and usage tracking Demonstrated ability to optimise performance and manage costs in large-scale environments Strong communication skills with the ability to work across engineering, data, and compliance teams Proactive approach to documentation and platform standards What's on Offer 25 days holiday (with option to buy/sell) Annual performance-based bonus Private healthcare Enhanced pension and life insurance Flexible working arrangements Wellbeing support and lifestyle benefits Access to discounts and additional perks

AVEVA is creating software trusted by over 90% of leading industrial companies. Flexible benefits fund, emergency leave days, adoption leave, 28 days annual leave (plus bank holidays), pension, life cover, private medical insurance, parental leave, education assistance program.It's possible we're hiring for this position in multiple countries, in which case the above benefits apply to the primary location. Specific benefits vary by country, but our packages are similarly comprehensive.Find out more: Hybrid working By default, employees are expected to be in their local AVEVA office three days a week, but some positions are fully office-based. Roles supporting particular customers or markets are sometimes remote. Hiring process Find out more: About AVEVA AVEVA is a global leader in industrial software with more than 6,500 employees in over 40 countries. Our cutting-edge solutions are used by thousands of enterprises to deliver the essentials of life - such as energy, infrastructure, chemicals, and minerals - safely, efficiently, and more sustainably.We are committed to embedding sustainability and inclusion into our operations, our culture, and our core business strategy. Learn more about how we are progressing against our ambitious 2030 targets: out more: requires all successful applicants to undergo and pass a drug screening and comprehensive background check before they start employment. Background checks will be conducted in accordance with local laws and may, subject to those laws, include proof of educational attainment, employment history verification, proof of work authorization, criminal records, identity verification, credit check. Certain positions dealing with sensitive and/or third-party personal data may involve additional background check criteria.AVEVA is an Equal Opportunity Employer. We are committed to being an exemplary employer with an inclusive culture, developing a workplace environment where all our employees are treated with dignity and respect. We value diversity and the expertise that people from different backgrounds bring to our business. AVEVA provides reasonable accommodation to applicants with disabilities where appropriate. If you need reasonable accommodation for any part of the application and hiring process, please notify your recruiter. Determinations on requests for reasonable accommodation will be made on a case-by-case basis. Job Title: Senior AI Research Engineer Location: Cambridge, London, UK (Hybrid) Employment Type: Full-time, permanent The job We are seeking a Senior AI Research Engineer to join our AI Investigation and Incubation team. This is a hands-on engineering role, focused on building, prototyping, validating, and operationalising emerging AI technologies for real-world industrial intelligence use cases.This role is not a pure academic research position. We are specifically looking for engineers who enjoy turning AI research into working systems, making architectural trade-offs, and proving feasibility through code, experiments, and deployable prototypes.The ideal candidate is an ML Research Engineer or Senior Data Scientist with strong practical instincts who thrives at the intersection of experimentation and production. Key Responsibilities Research and evaluate emerging AI technologies with a clear focus on practical applicability and deployability Design, build, and iterate on working prototypes and proof-of-concepts, rather than theoretical experiments Develop, fine-tune, evaluate, and benchmark AI/ML models using real-world datasets Assess AI approaches for scalability, reliability, cost, security, and operational feasibility Make and document engineering and architectural decisions related to model deployment and integration Collaborate closely with software engineers, architects, and platform teams to ensure AI solutions can transition into pilots and downstream products Clearly document findings and present actionable recommendations, not academic papers, to technical and business stakeholders Support early-stage pilots and proof-of-value initiatives where AI solutions are exercised in realistic environments Essential Requirements Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or related field 8+ years experience in applied AI/ML engineering, data science, or ML research with production exposure 3+ years of hands-on experience building, training, evaluating, and deploying ML models Strong proficiency in Python and modern ML frameworks (e.g. PyTorch, TensorFlow, HuggingFace) Solid understanding of AI/ML deployment patterns, including: + Batch and real-time inference + Model APIs and pipelines + Integration into distributed systems Practical experience with modern AI paradigms, such as: + Foundation models / LLMs + Agent-based systems and orchestration + Context retrieval and augmentation techniques Demonstrated ability to lead technical investigations and drive them to concrete outcomes Ability to connect AI capabilities to practical industrial or enterprise use cases Desirable Experience Experience deploying ML models in cloud environments (Azure preferred, AWS acceptable) Familiarity with MLOps practices (model versioning, evaluation, monitoring, iteration) Experience working with non-ideal, real-world data rather than curated research datasets Exposure to industrial, IoT, manufacturing, energy, or asset-intensive domains What Success Looks Like AI ideas progress beyond research into validated, working prototypes Technical investigations result in clear go / no-go recommendations Prototypes demonstrate feasibility for real-world deployment, not just benchmark performance Strong collaboration with engineering teams to enable transition into pilots or platforms Tangible influence on AI roadmap and technology direction through evidence-backed engineering work R&D at AVEVA Our global team of 2000+ developers work on an incredibly diverse portfolio of over 75 industrial automation and engineering products, which cover everything from data management to 3D design. AI and cloud are at the centre of our strategy, and we have over 150 patents to our name.Our track record of innovation is no fluke - it's the result of a structured and deliberate focus on learning, collaboration and inclusivity. If you want to build applications that solve big problems, join us.Find out more: UK Benefits include:

We're building AI that predicts the future. Literally. The Company Numinous is building the world's most advanced super-forecasting AI agents. We're creating autonomous systems that ingest real-world data, reason through complex scenarios, and produce predictions for the highest-stakes decisions on the planet. Think hedge funds, traders, governments, and Fortune 500 companies. Right now, we're selling predictive intelligence to hedge funds and operating in prediction markets. But that's the starting point, not the ceiling. We're a small team, early-stage, well-backed, and moving fast. Our mission: To build forecasting AI that fundamentally changes how critical decisions get made. Our Culture We operate like founders, not employees. Everyone here has skin in the game and the autonomy to make real decisions. We move fast, communicate directly, and don't hide behind process. If something needs doing, you do it. If something's broken, you say it. We value missionaries over mercenaries. We want people who care about the mission, not just the paycheque. The kind of people who'll stay up late because the problem is interesting, not because someone told them to. The Role You'll architect and build the core infrastructure of the Numinous platform. This is the backbone that allows autonomous AI agents to ingest data, reason, compete, and forecast. This isn't gluing APIs together. You'll be designing the systems that score, rank, and incentivise AI forecasting agents in live, competitive environments. Day to day, you're deep in backend architecture, building production-grade agent orchestration, designing data pipelines, and solving problems at the intersection of software engineering and quantitative forecasting. You'll work directly with the founders. There are no layers between you and the decisions that shape the product. What You'll Be Doing Unifying the different parts of the stack. The network, signal layers, and forecasting architectures need to work together as one coherent system. Designing and building the agent orchestration pipeline that allows AI forecasters to ingest data, reason, and produce predictions. Building and optimising the signal pipeline that feeds real-world data into forecasting models. Experimenting with different forecasting architectures to find optimal approaches for linking targets to signals. Writing production-grade Python that handles complexity at scale, not scripts that work in a notebook. Contributing to technical strategy alongside the founders. You'll have a voice in what gets built and why. Evaluating and vetting technical candidates as the engineering team grows. Bad News We're early. The engineering function is still being built. Documentation is thin and processes are light Priorities will shift and things will break If you need a mature engineering culture with established practices, this isn't the role yet. You'll be helping build that culture, not inheriting it. Good News More ownership, influence, and impact in 6 months than you'd get in 5 years at a bigger company Technical co-founders who are direct, move fast, and actually understand what you're building No politics, no layers, no waiting for approval The problem is genuinely unsolved and the market is enormous If we get this right, you'll have built the infrastructure behind the world's most advanced forecasting AI. Your Mission Make the Numinous platform into a self-improving world model with the most accurate forecasts in the world. You exist to turn our vision of self-improving superhuman AI forecasting into a reality, building the systems that allow agents to get smarter, faster, and more accurate over time. Why Join Now This is founding-engineer territory. The team is small, the problem is unsolved, and the market is massive. You're not joining a machine that's already running. You're building it. The architecture decisions you make in the next 6 months will define the platform for years. You'll have direct influence over the product, the technical direction, and the culture of the engineering team as it grows. In 12 months this role won't look like this. The team will be bigger, the foundations will be set, and the opportunity to shape everything from scratch will be gone. Right now, it's all open. What Good Looks Like At 3 months: There's a production-grade forecaster in one category. Targets are linked to signals, connected to the network, with experimentation underway on forecasting architectures. You're making architectural decisions independently and contributing to technical strategy, not just executing tickets. At 6 months: The signal pipeline has an inductive process, a world model sits on top, and there's a sellable product for clients. You've unified the different parts of the stack (the network, signal layers, and forecasting architectures) into something coherent and powerful. At 12 months: The platform handles complex targets across multiple verticals including commodities, politics, and beyond. There's a provable edge that unlocks serious commercial conversations. You're a technical leader in the company, not just an engineer. Skills & Expertise 5+ years building production-grade Python backends. You know the internals, not just the syntax. Hands-on experience with LLM orchestration frameworks such as LangChain or LangGraph (agent memory, tool calling, state management) Dagster in production (assets, sensors, partitions) or equivalent pipeline orchestration Strong backend fundamentals including API design, async programming, and database modelling You've built systems that had to work reliably at scale, not just pass a demo Experience 5+ years in a backend or full-stack engineering role Worked at an early-stage startup or high-growth environment. You understand the pace. Built and shipped production systems, not just prototypes Comfortable being the most senior engineer in the room, or the only one What Sets You Apart You think holistically about systems. You see how your work connects to every other part of the product without being told. Research-driven approach to problem solving. You test hypotheses, not just ship features. Experience in financial markets, algo-trading, or prediction market platforms (Polymarket, Manifold, etc.) Quantitative background in maths, statistics, or probability theory ML experience including random forests, regression models, scikit-learn, and PyTorch AWS infrastructure experience deploying containerised applications and managing cloud environments (EC2, Lambda, RDS) Open-source contributions to AI or crypto projects Compensation Salary: £80,000 to £120,000 depending on experience Equity: Competitive for the right candidate Hours & Location Full-time Remote-friendly with a presence in London Async by default, in-person when it matters We care about output, not hours logged. This is a startup, and the pace reflects that. How to Apply Apply. Submit your application through Ashby. Tell us why this role excites you and what you'd bring to it. Shortlist. We review every application and shortlist candidates for interview. Interview with TGC. A conversation with our team to walk through your experience and how you think about the problem. Interview with the founders. You'll meet the Numinous founding team directly. Task. A short, practical exercise to see how you approach real work. Offer. If it's a fit on both sides, we move fast.

For additional information, please review . Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. The ideal candidate will combine deep AI engineering expertise with a strong understanding of the investment banking ecosystem, business workflows, and secure enterprise-scale deployment. Key Responsibilities Strategic AI Leadership - Partner with senior bankers and business leads to identify high-impact AI opportunities across deal origination, client intelligence, market analysis, and pitch automation. Develop and execute the AI engineering roadmap aligned to Banking tech strategy and enterprise architecture. AI Engineering & Architecture - Lead the design and development of scalable AI systems using LLMs, NLP, knowledge graphs, and machine learning pipelines. Architect secure, compliant AI solutions that integrate with market data, CRM, internal knowledge bases, and document repositories. Data Strategy - Drive integration of structured (e.g., financial data, CRM) and unstructured (e.g., filings, call transcripts, news) data to enable advanced insights. Oversee data engineering and ML feature pipelines in collaboration with data teams. Productization & Delivery - Convert proofs-of-concept into scalable, enterprise-grade tools. Embed AI solutions into banker workflows via co-pilots, dashboards, and smart document assistants. Governance & Compliance - Ensure all AI systems meet internal standards for explain ability, fairness, and compliance with regulatory obligations. Collaborate with risk, legal, and compliance teams on AI model governance. Team Building & Leadership - Build and lead a high-performing team of AI engineers, ML specialists, and applied data scientists. Foster a culture of innovation, delivery excellence, and business alignment. Qualifications Must-Have Skills & Experience Significant proven data science / AI engineering experience, with multiple years leading teams in financial services or enterprise environments. Demonstrated success building AI applications in investment banking, asset management, or capital markets domains. Deep expertise in ML, NLP, LLMs, retrieval-augmented generation (RAG), embeddings, and modern MLOps practices. Strong experience working with both structured financial datasets and unstructured data sources (e.g., filings, call transcripts, research). Familiarity with front-office workflows in ECM, DCM, M&A, and investment research. Experience deploying AI solutions in secure, high-compliance environments (on-premise, hybrid cloud, or private cloud). Strong communication and stakeholder management skills, especially with senior bankers and C-level executives. Preferred Experience with knowledge graphs and graph-based search. Familiarity with tools like Bloomberg, Refinitiv, Capital IQ, FactSet, PitchBook. Prior work on AI co-pilots, document summarization tools, or automated pitch generation. Exposure to enterprise CRM systems and client intelligence platforms. Advanced degree in Computer Science, AI, Applied Mathematics, or related quantitative field. What Success Looks Like AI tools embedded into daily workflows of bankers and analysts. Reduction in manual effort across client targeting, pitch preparation, and market monitoring. Data assets and ML models fully aligned with enterprise governance and architecture. Scalable AI platform that evolves with the pace of the business and innovation.Shape the future of investment banking with cutting-edge AI. Work at the intersection of technology, capital markets, and innovation. High visibility and impact across the front office and C-suite. Access to world-class data, partners, and AI infrastructure. What we'll provide you By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretional annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. Job Family Group: Technology Job Family: Business Analysis / Client Services Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review . View Citi's and the poster. Role Summary We are seeking a visionary and hands-on Head of Applied AI Engineering to lead the design, development, and deployment of AI-driven solutions for our Banking division , covering Investment (ECM, DCM, M&A), Corporate and Commercial Banking. This role will bridge the front office and advanced technology, bringing intelligent automation and data-driven decision-making into the heart of dealmaking.

Select how often (in days) to receive an alert: Vice President, Global Video & Technology Operations The Associated Press is an independent global news organization dedicated to factual reporting. Founded in 1846, AP today remains the most trusted source of fast, accurate, unbiasednews in all formats and the essential provider of the technology and services vital to the news business. More than half the world's population sees AP journalism every day. The Vice President, Global Video Operations & Technology Services is a senior technology leader responsible for ensuring the reliability, performance, and evolution of AP's global video delivery, broadcast infrastructure, and enterprise technology services. This executive combines strategic leadership with extensive hands on experience in video operations and broadcast engineering. They demonstrate a proven track record of guiding teams through complex, high pressure operating environments while driving innovation, service excellence, and cost efficiency. This position reports to the Chief Technology Officer and partners closely with leaders across Editorial, Revenue, Product, and Cybersecurity to ensure the reliability, innovation, and modernization of AP's mission supporting both editorial excellence and business growth. What you will do: This role is at the heart of AP's transformation - bridging next generation video technology and global operations to ensure our trusted reporting reaches billions with speed, reliability, and innovation. Candidates will combine deep technical mastery with strategic, people centered leadership and strong cross functional collaboration attitude that inspires teams and strengthens AP's position as the world's most reliable news source. 1. Global Video Operations Oversee AP's video supply chain for both live and file based content - from camera and ingest, to production, packaging and global distribution. Ensure 24/7 reliability through master control centers in London, New York, and Washington, D.C., maintaining world class standards for availability and resilience. Lead the modernization of video technologies, accelerating the transition to IP and cloud based workflows, while integrating AI automation across the video lifecycle. Partner with Editorial leadership to align technical infrastructure with storytelling needs and real time coverage demands. 2. Service Assurance & Operations Control Lead the Operations Control Center (OCC) to deliver proactive, ITIL aligned monitoring, incident, problem, and change management across all AP technology systems. Ensure business continuity and disaster recovery readiness for critical editorial and delivery platforms. Drive automation, analytics, and continuous improvement in service reliability, working closely with cybersecurity on resilience and threat mitigation. Act as the accountable owner of system reliability, communicating performance and impacts clearly to AP's senior leadership and customers. 3. Global Support Services Oversee AP's global technical support ecosystem - including customer facing helpdesk, employee support, and bureau level field services. Modernize support through automation, AI assisted workflows, and self service capabilities. Ensure consistent desk side delivery excellence across AP's global network of bureaus and newsrooms. Direct technical support for global live events (Olympics, Super Bowl, elections, major entertainment awards), ensuring flawless coverage. 4. Enterprise Productivity & Collaboration Platforms Lead enterprise platforms that enable secure, seamless collaboration, including Microsoft 365, Slack, Zoom, and related systems. Oversee identity and access management (Azure AD), endpoint lifecycle management, and enterprise patching and software deployment using Intune and CMDB tools. Manage deployment and training for AI powered productivity tools (OpenAI, Microsoft Copilot), driving adoption across AP. Supervise the provisioning of technology solutions for field photographers and video journalists. Serve as a strategic advisor to the CTO on global technology operations and video strategy. Build a culture of innovation, accountability, and service excellence across diverse, global teams. Manage multimillion dollar operational and capital budgets, leading vendor sourcing, RFPs, and contract negotiations to optimize performance and cost. Foster collaborative relationships with AP's Editorial, Product, and Business teams to align operational priorities with enterprise strategy. Who you are: 10+ years of senior leadership experience in global technology or broadcast operations within a 24/7 media, broadcast, or digital content organization. Proven hands on expertise in digital video operations and broadcast engineering, including live event production, IP workflows, and cloud based distribution systems. Strong command of modern IT Service Management (ITSM) and operational excellence frameworks that blend automation, human support, and security. Experience in AI driven workflow transformation and adoption of next generation productivity and collaboration tools. Demonstrated ability to lead complex, geographically dispersed teams through change in challenging, high pressure environments and manage large scale, mission critical operations with precision and empathy. Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business narratives. Strong financial and vendor management acumen. Bachelor's degree in Computer Science, Engineering, or a related field (MBA or equivalent executive experience preferred). Willingness to travel internationally to support operations, bureaus, and live events. Additional Information This is a hybrid role, with in office presence required for at least three days per week. International travel will be required to support operations, bureaus, customers, and global events. Applicants must be eligible to work in the UK or able to obtain UK work authorization. AP seeks to build an inclusive organization grounded in respect for differences. We support all aspects of diversity and provide equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, marital status, national origin, age, sexual orientation, gender identity, disability, status as a veteran, or other characteristic protected by law.

Select how often (in days) to receive an alert: Title: Associate Director, EFX Quant, FX Trading - FICC Requisition ID: 251683 Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Purpose This role contributes to the overall success of our Global FX eTrading and Automated Market Making business by designing, developing, and implementing advanced models, trading strategies, and technology solutions, while ensuring individual goals, plans, and initiatives are executed & delivered in support of the team's overall objectives. The position requires strong quantitative, programming (Java, Python, C++), and analytical skills to deliver innovative solutions that enhance execution quality, risk management, and profitability, while ensuring compliance with global regulatory standards and internal policies. Accountabilities Model Development: Design, implement, and improve pricing, hedging, and execution algorithms using Mathematical, Statistical/Machine Learning, and other Probability-driven models. Identify and resolve complex technical issues related to trading systems, ensuring high system performance and reliability. Data Analysis & Insights: Analyze large datasets (market, client behavior) to identify patterns and generate actionable insights. Simulate pricing and hedging models against historical data. Collaboration: Partner with Sales, Trading, and Technology teams to deliver integrated solutions and improve platform capabilities. Establish consistent interaction with the voice trading desk and cultivate awareness of market trends and liquidity. Compliance, Ris, and Governance: Ensure adherence to regulatory requirements (SEC, FCA, IIROC) and internal policies on Compliance, Surveillance, and Risk across regions. Role-Specific Responsibilities Implement algorithmic trading strategies using state-of-the-art coding techniques ensuring their speed and efficiency. Build and optimize low-latency trading infrastructure and APIs. Maintain and enhance production-level systems with robust testing and documentation. Develop and maintain automated risk management algorithms that dynamically adjust based on market conditions, aligned with desk and firm-wide risk appetite. Conduct alpha research and back testing for systematic strategies. Obtain necessary regulatory licenses. Execute and monitor algorithmic strategies across products. Manage P&L and optimize execution quality under dynamic market conditions. Adhere to pre-established market risk limits and desk position limits. Overall Accountabilities Stay updated with the latest trends and advancements in quantitative finance, electronic trading, and programming techniques, including emerging technologies (cloud computing, GPU acceleration, AI/ML) and market microstructure research. Explore emerging techniques in Machine Learning & AI. Champions a customer focused culture to deepen client relationships and leverage broader Bank relationships, systems and knowledge. Champions a high-performance environment and contributes to an inclusive work environment. Actively pursues effective and efficient operations of his/her respective areas in accordance with Scotiabank's Values, its Code of Conduct and the Global Sales Principles, while ensuring the adequacy, adherence to and effectiveness of day-to-day business controls to meet obligations with respect to operational, compliance, AML/ATF/sanctions and conduct risk. Education & Experience Required: Bachelor's in Computer Science, Engineering, Mathematics, Physics, or related field. Experience in electronic trading, algorithmic market making, alpha generation and systematic strategy development. Experience with Trading Venues, ECNs, and Dealer-to-Client platforms Technical Skills Proficiency in Python, Java, and strong OOP principles. Experience with data platforms (KDB/Q, SQL) and numerical libraries (Pandas, NumPy). Familiarity with electronic trading protocols, connectivity, routing (FIX, API integration). Knowledge of cloud computing, GPU acceleration, and distributed systems is an asset. Quantitative & Analytical Skills Foundation in probability, statistics, and optimization. Experience with Machine Learning & Bayesian frameworks (TensorFlow, PyTorch, Scikit-learn). Ability to design and validate models under real-world constraints. Soft Skills Communication skills to explain complex concepts to diverse stakeholders. Ability to work across time zones and adapt to regional market hours. Collaborative mindset and willingness to mentor junior team members. Location(s): England : GreaterLondon : London (UK) Scotiabank is a leading bank in the Americas. Guided by our purpose: "for every future", we help our customers, their families and their communities achieve success through a broad range of advice, products and services, including personal and commercial banking, wealth management and private banking, corporate and investment banking, and capital markets. At Scotiabank, we value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. If you require accommodation (including, but not limited to, an accessible interview site, alternate format documents, ASL Interpreter, or Assistive Technology) during the recruitment and selection process, please let our Recruitment team know. If you require technical assistance, please click here . Candidates must apply directly online to be considered for this role. We thank all applicants for their interest in a career at Scotiabank; however, only those candidates who are selected for an interview will be contacted.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Cross-platform Flutter apps with a deep focus on user experience Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations What you'll do Work across the full stack of technology, from mobile all the way down through data infrastructure. Take end-to-end ownership over thorny real-world problems, like using machine vision to automatically assess proof of delivery photos. Collaborate with team members across the company. Regularly spend time in the field learning how the technology you build impacts our couriers and parcel recipients. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min Build a UI Component Interview - 1 hour Design and Mobile Fundamentals Interview + AI Programming (Build an APP) - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours, our process mirrors our pace of work, typically completed in a week. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Come join the company that is reinventing cloud security and empowering businesses to thrive in the cloud. As the fastest-growing startup ever, Wiz is on a mission to help organizations secure cloud environments that will accelerate their businesses. Trusted by security teams all over the world, we have a proven track record of success and a culture that values world class talent. Our Wizards from over 20 countries work together to protect the infrastructure of our hundreds of customers, including over 45% of the Fortune 100, who trust us to scan and secure over 230 billion files daily. We're the leading player in a massive and growing market, but it's still early enough for you to make a significant impact. At Wiz, you'll have the freedom to think creatively, dream big, and use your full range of skills to contribute to our record growth. Come join our team and help us create secure cloud environments that allow the best companies to move faster. SUMMARY We're looking for a Cloud Security Research Engineer to join the Product team and spread the power of Wiz. In this role, you'll play a key part in safeguarding our customers' cloud environments from cyber threats. Your contributions will directly impact customer success and advance the field of cloud security. You'll gain practical experience that can lead to exciting career paths in product management, research, or development. WHAT YOU'LL DO Research, innovate, and develop cutting edge detection mechanisms, advanced algorithms, and automated solutions to precisely identify and categorize technologies within complex cloud environments. Conduct comprehensive analysis of cloud services, APIs, and log payloads to ensure strict adherence to industry standards and customer specific requirements. Continuously update knowledge and skills to stay abreast of the latest technologies and emerging trends in the industry. Implement customer requests and industry standard practices to establish Wiz as a market leader in cloud security. Collaborate closely with our Research and Backend teams to leverage their expertise in developing and refining technical solutions. WHAT YOU'LL BRING Hands on proficiency in Linux, Windows, Python, Bash, Docker, Kubernetes, Terraform, and a strong understanding of the OSI model. Solid knowledge of networking concepts and cloud infrastructure. Proven experience in applying cybersecurity best practices to real world scenarios. Self motivated and capable of working both independently and collaboratively within a team. Strong communication skills. Fast learner who's comfortable adapting to new concepts. Applicants must have the legal right to work in the country where the position is based, without the need for visa sponsorship. This role does not offer visa sponsorship. Wiz is an equal opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. By submitting your application, you acknowledge that Wiz will process your personal data in accordance with Wiz's Privacy Policy.

Your Mission The role of Senior Support Engineer is a key player in our Managed Services team. This role helps support customers environments, fixing escalated issues as well as playing a leading role in developing custom environments and delivering project works. Key Responsibilities Support customer's needs by dealing with reported incidents from ticketing systems and telephone within the contracted SLA Proactively work on Incidents, Major Incident, Problems, Requests and Changes Raise and progress RFCs within the Change Management process Troubleshoot, diagnose, and administer both user, networking and infrastructure environments, including systems software, hardware, and configurations for both on-premises and cloud-based customers Produces technical documentation including standard operating procedures, technical operation manuals, architectural network diagrams. Engineering of new network solutions using physical and virtual hardware on-premises and public cloud Work proactively and reactively within our Monitoring Platform to manage network performance, identify where action is required to be taken Ensure systems are securely maintained, remediating vulnerabilities as per contractual and process adherence Liaise with 3rd parties and boxxe technical personnel toward problem resolution Work to find new and innovative solutions, making recommendations to drive continuous improvement Work to a UK aligned shift pattern which covers between the hours of 08:00- 18:00 GMT. What you'll be doing Support, maintenance and troubleshooting of network fabrics including on premises (VMware/Hyper-V) and cloud hosted solutions (Azure, VMware cloud) Experience supporting and deploying Microsoft Azure, Microsoft 365, Entra ID, Intune and associated technologies Support of multiple managed services customers in both Public and Private sectors Support, Maintenance and Troubleshooting of Microsoft software including Windows Server, Active Directory, SQL Server and Exchange Support of backup, HA and DR solutions e.g. Azure Site Recovery, VEEAM, Rubrik and other recovery solutions Solid experience of delivering and assessing network and security solutions for customer Firewalls and other devices (Cisco, Fortinet, General switches and Wireless solutions) Support, advise, define and implement secure configurations across a wide range of platforms Creation of operational support documentation such as 'Statement of Work', 'Health Check', Knowledgebase and similar customer and internal facing documents Take the technical lead for a subset of customers with an eye to be the SME for their service, joining service reviews and a proactive approach to improving customers environments Be the technical resource on managed services customer projects Participate on-call rota as required Act as a mentor to the 1st and 2nd line teams to assist with growing and evolving the team Undertake any other ad hoc duties as required, which are deemed necessary to assist with the needs of the company Adhere to the Incident, Major Incident, Problem, Knowledge, and Change Management Processes within best practice framework What experience we think you'll need Proven working experience in installing, configuring, and troubleshooting Network fabrics and Windows based environments. Experience in the administration and performance tuning of Networks, Operating Systems, Storage devices and applications including SQL Databases. Working experience with Microsoft Office 365 and Intune Solid experience with Microsoft Operating Systems Windows 8+ / Windows Server 2019+ Working experience with virtualisation (e.g., VMware, Hyper-V, Citrix) Working experience with monitoring systems e.g. Logic Monitor Experience with automation software would be desirable Excellent problem-solving skills with the ability to identify and remediate root causes Accuracy and attention to detail Effective ticket management and documentation skills Excellent communication skills to different stakeholders of different technical expertise both customer-facing and in house Possess the ability to work under pressure in a fast-moving environment Ability to mentor and upskill colleagues across the service desk A highly proactive, solution-driven individual who takes ownership and delivers results. One or more the following certifications would be highly desirable for a successful applicant: Cisco Certified Network Associate (CCNA) Cisco Certified Specialist -Enterprise Core (CCS-ECore) CCNP Enterprise Microsoft AZ900, AZ104, AZ305, AZ500 Citrix Certified Associate VMware Certified Professional Security Focused Certification ITIL Foundation > At boxxe we believe that business should be about more than just profits. Sustainability is a core value. We are committed to reducing our environmental impact, encouraging inclusive working environments, and trading ethically. Everyone at boxxe is responsible for considering the impact of their actions on the environment and for reducing our carbon footprint through embracing Work from Anywhere (in the UK) principles, minimising travel by using virtual technology and adopting sustainable practices. boxxe embraces diversity. As an equal opportunity employer, we are committed to building a team that represents a variety of backgrounds, perspectives, and skills. boxxe does not discriminate based on race, religion, colour, national origin, sexual orientation, gender identity, age, marital status, veteran status, or disability status. All our employment is based on qualification, excellence, and business need. Select

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow . Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit . About this role: We are seeking a Director, Partnerships & Alliances to build and execute our strategic partnership strategy, driving revenue growth and market expansion. This role will own the development of key alliances with cloud providers, data platforms, system integrators, and other ecosystem players to enhance our market presence and accelerate sales. The ideal candidate must be willing to engage in all levels of work-ranging from high-level strategy and leadership to hands-on execution and operational tasks-to drive meaningful results. What you get to do: Own and implement the Partner strategy through field, rep-to-rep support as well as top-down corporate initiatives (industries, workloads) to make Astronomer a top tier self serve analytics partner of AWS, Azure, and GCP Drive major deals. You will help accelerate partner adoption within new opportunities and use case expansion. Own the day-to-day, tactical relationship to serve the needs of both partner & Astronomer Field teams with enablement sessions, collateral, and appreciation events. Build and deliver co-sell programs into the market that differentiate Astronomer to the field teams at the major cloud providers. In partnership with the Astronomer Sales Engineering team, work with Partner Sales Engineering team to develop solutions that result in technically enabling both team to reduce sales cycles. What you bring to the role: Demonstrable experience of Alliance/Partner Management with AWS, Azure, and/or GCP. Sales DNA and a deep passion for being curious - always diving deeper to uncover how we can better differentiate Astronomer to generate new opportunities. Deep professional experience focused on alliance management or equivalent experience working with major cloud vendors. Enterprise Sales Experience with technical products. Cloud Marketplace Experience. Interest in rolling up your sleeves and translating GTM strategy into execution. Working knowledge of enterprise infrastructure, cloud, and analytics space. Comfort and proficiency with building and delivering presentations. Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve. Bonus points if you have: Especially deep experience and relationships with Microsoft. Experience working or co-selling with IBM, Snowflake, AWS, Microsoft and GCP. Experience with or understanding of Apache Airflow or data orchestration. At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Overview Orgvue is a leading organizational design and planning software platform that captures the power of data visualization and modelling to build more adaptable, and better performing organizations. HR, finance and business leaders use Orgvue for actionable insight and analysis that helps them make faster workforce decisions in a constantly changing world. Orgvue is used by the world's largest and best-known enterprises and management consulting firms to visualize and confidently build the businesses they want tomorrow, today. The company is headquartered in London, with offices in Philadelphia, The Hague, Toronto, and Sydney. Role We are seeking a Principal Site Reliability Engineer who will be a senior technical leader focused on scaling and hardening our AWS- and Kubernetes-based infrastructure. Responsibilities Define and enforce SLOs, SLIs, and error budgets across critical services Crafting and implementing a cloud infrastructure and tooling strategy Work across our Org to level up SRE practices Help implement robust observability metrics, logs & traces using our observability tool Guide the team in building automated, self-healing systems Own and evolve our incident response processes, including on-call practices and post-mortem culture Mentor engineers across the org on best practices in reliability, operational readiness, and scalable infrastructure Drive Infrastructure as Code (IaC) using Terraform, Kubernetes, CloudFormation and GitOps practices Collaborate closely with security, DevOps, and software teams to ensure compliance, scalability, and operational excellence Evaluate and introduce tools, patterns, and practices that improve the performance and reliability of our SaaS platform Qualifications Demonstrable experience leading SRE transformations Deep hands-on expertise with Kubernetes (EKS preferred) in production environments Strong experience withAWS core services (EC2, EKS, RDS, S3, ALB/NLB, IAM, CloudWatch, etc.) Expert in Infrastructure as Code using tools such as Terraform, with knowledge of GitOps workflows Strong background in observability: metrics, visualization, logging, and tracing Understanding of automation, SDLC, CI/CD pipelines, deployment automation, and blue/green or canary releases Proven experience with incident management, disaster recovery planning, root cause analysis, and post-incident reviews Benefits Hybrid working - 1+ days a week in the London office Wellbeing: Sanctus Coaching, Virtual fitness sessions, Wellbeing webinars, Annual Wellbeing day Subsidised Gym Membership Private Medical Insurance (including Dental and Vision) and Life Assurance 25 days holiday (increasing to 30 days at a rate of 1 extra day per year) Summer Fridays (half-day Fridays for the months of July and August) Employer pension contribution of 5% of your gross salary, if you contribute a minimum of 3% Season ticket Loan Cycle to Work Scheme Annual Discretionary Bonus Here at Orgvue we promote individualism and a diverse workforce to build on our future success