499 jobs found

Network Engineer (Financial services/Electronic trading) General information Country United Kingdom City London Type of role Professional Working time Full-time Type of contract Permanent Remaining openings 1 Description & Requirements For our Innovation & Technology department in London we are looking to hire a: Innovation & In an era where digitalisation and modern IT infrastructure is revolutionizing banking, we are shaping a technology-driven bank in which you as an IT professional will work closely with our business units. Our technology teams offer you an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications. Your Role in the team. As a Senior Network you will be contributing to the design, implementation, and maintenance of a highly availa-ble, secure, and scalable enterprise network infrastructure critical to trading and core operations. This position requires deep, practical expertise in Layer 3 routing and BGP on Arista platforms and Fortinet security devices. The successful candidate will play a critical role in translating architectural designs into operational reality, collaborating closely with the Lead Network Architect, and driving operational excellence while adhering to strict financial compliance and security standards. What will you do: Architectural Collaboration: Work directly with the Lead Network Architect to review High-Level Designs, provide technical feasibility assessments, and translate the architecture into detailed Low-Level Designs (LLDs) and implementation plans (e.g. using NetBrain) Lead the deployment and configuration of core network infrastructure projects focused on scalability and high availability, e.g. new exchange / trading venue connectivity via datacentre cross-connects Administer and maintain the enterprise security posture using Fortinet devices, ensuring policy en-forcement aligns with security principles like PoLP. Provide 3rd-line escalation support for all critical network incidents. Develop and enforce network standards, policies, and operational procedures, ensuring adherence to internal risk controls and external regulatory requirements. Onboard and setup new connectivity with new trading partners and venues Who are we looking for? Deep Expertise in BGP: Proven, hands-on experience designing, implementing, and troubleshooting complex Border Gateway Protocol (BGP) topologies, including route manipulation, path selection, multi-homing, and peering, VRF etc. Network Architecture: Demonstrated ability to design and implement highly resilient and scalable Layer 3 network architectures, including spine-and-leaf topologies, with a focus on low-latency and high-throughput environments (e.g., trading platforms) Arista Networks: Hands-on experience with configuration, operation, and advanced troubleshooting of Arista switches and routers, including experience with Arista EOS Principle of Least Privilege (Security Concept) & Zero Trust: Strong foundational knowledge and practi-cal experience in applying the Principle of Least Privilege (PoLP) & Zero Trust to network device access, network segmentation, and firewall rule creation to minimize the network attack surface in a regulated financial environment Complex Troubleshooting: Ability to conduct deep-dive, packet-level analysis and root cause analysis (RCA) on complex, multi-protocol network issues across LAN, WAN, and Data Centre environments Nice to have: Practical experience using Infrastructure as Code tools such as Terraform or Ansible for network configuration management, provisioning, and automated deployments Scripting: Proficiency in scripting languages, preferably Python, for network automation, API interaction, data manipulation, and custom tooling development What we offer you: Private pension plan - 10% of base salary contribution by Berenberg Private Health Insurance Enhanced parental leave policies Employee Assistance Programme offering counselling sessions related to mental health, financial wellbeing and other topics Berenberg is an Equal Opportunities Employer and prides itself on being a modern, dynamic and internationally orientated organisation. We value the rich diversity, skills and abilities and creative potential that people from differing backgrounds and experiences bring to the workplace. Every employee plays a vital role in providing quality service to all our customers and helping to create an inclusive working environment, where everyone can realise their full potential. We're committed to finding reasonable accommodations for candidates who require adjustments during our recruiting process. Please contact us directly on to discuss.

About Graphcore Graphcore is one of the world's leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world's most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore's teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to a Team Lead in the frameworks team you will play a pivotal role in designing, implementing, optimising, maintaining and supporting the software required to ensure the machine learning accelerators that Graphcore develop, enjoy first-class support in state-of-the-art machine learning frameworks such as PyTorch and Triton. This role sees you joining our PyTorch team, where you will be part of a SCRUM team working on delivering new features, optimise performance, reviewing code changes, writing technical documentation, working with upstream communities, maintaining the code base and supporting users. In this role you will closely collaborate with other engineers, both within the PyTorch team as well as other engineering teams. You help the team coordinate and deliver complex, open-ended technical tasks. You are pro-active and an excellent communicator. You will develop deep expertise in the PyTorch project and will (in time) contribute to the team's technical direction and processes. You understand the importance of managing code quality and code complexity and balancing this against the need to deliver business outcomes. Note that the job title and associated benefits will be tailored to the successful candidate's level of experience at the job offer stage to one of Software Engineer, Staff Engineer, Senior Staff Engineer, Principal Software Engineer or Senior Principal Software Engineer. Note that as the machine learning software landscape is quite fast moving and as such flexibility is essential - over time you may be asked to work on frameworks other than PyTorch. The Team The Frameworks team ensures Graphcore hardware works seamlessly with the tools that ML engineers and researchers love - Pytorch, Triton, Jax and TensorFlow. We're a talented and diverse team of engineers and we foster a culture of collaboration, openness and learning. All our software teams follow agile working practices, and we care deeply about both ease-of-use as well as performance. We work closely work with other Graphcore teams as well as leading open-source communities. By joining us, you'll join our exciting journey on the cutting edge of the machine learning industry. Your contributions will make a real difference - enabling machine learning engineers and researchers to unlock the full potential of Graphcore's hardware. Responsibilities and Duties Designing and implementing new features & maintaining and supporting existing features. Developing and maintaining unit tests, component tests and integration tests. Optimising the software stack to make it more performant for our users. Managing complex technical tasks with cross-team dependencies. Managing code quality, code complexity and technical debt. Provide technical leadership, contributing the team's technical direction and processes. Contributing to documentation, including user manuals and tutorials. Conducting code reviews. Resolving regressions, performance issues and software defects. Coaching and mentoring other team members. Contributing to a collaborative team culture. Contribute to continuous improvements to improve ways of working. Working with upstream open-source development teams. Candidate Profile Essential: Demonstrable strong software engineering skills. Experience of Python development. Experience of developing performant C++ applications in a commercial setting. At least one of: Experience of writing ML kernels. Experience of compiler development. Experience of using and/or development of ML Frameworks. Experience in a computationally intensive engineering field. Desirable: Demonstrable knowledge of AI/ML. Understanding of computing architectures. Experience of maintaining and supporting a complex code base. Experience in profiling / optimising high performance code. Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we're committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments. Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Position Overview Proximie's engineering organization is the heartbeat of the company - designing and delivering products that drive measurable clinical and operational impact. Our platform empowers surgical teams around the world to improve patient outcomes, optimise operating room efficiency, and harness data for smarter, more connected surgery. As Proximie continues its global expansion, we are seeking a Senior Data Engineer to join our data engineering team. Our data has become more important than ever. We need to utilise it to make analytical decisions, store it securely, move it between different systems, all the while ensuring that we adhere to healthcare and data protection regulations. As a Senior Data Engineer you'll help shape the future of Proximie's Data & Insights platform, ensuring our systems are robust, secure, and scalable to power analytics, AI, and data products used by hospitals worldwide. Responsibilities Reporting to a Data Engineering Lead based in the UK, the Senior Data Engineer will be responsible for: Design, evolve and future proof scalable data architectures to meet performance, cost, and reliability goals. Build and orchestrate resilient batch and real time data pipelines. Data modelling & cataloguing including: Performance tuning in various technologies (e.g. Spark, Presto, Athena, Postgres) Build automated testing frameworks including implement anomaly detection and validation checks (e.g. with Great Expectations). Monitoring & Incident Response including: Enforce data access controls, encryption at rest/in transit, PII masking/anonymization, and collaborate on HIPAA/GDPR (or equivalent) compliance. Manage and version cloud infrastructure using IaC tooling (e.g. Terraform) Collaborate closely with Data Scientists, Analysts, Product, and Customer Success teams to design reliable, well documented datasets and APIs that enable analytics, insights, and ML capabilities. Drive development of customer facing data products - APIs, timelines, dashboards - and support machine learning data pipelines. Mentor junior engineers, champion best practices, document architectures/runbooks/data dictionaries, and standardise coding conventions and CI/CD. Requirements Bachelor's degree in Computer Science, Mathematics, or related field (or equivalent practical experience). Minimum of 5+ years as a Data Engineer with experience developing and supporting with data lakes, warehouses preferably on AWS. Extensive experience designing, deploying, and maintaining data infrastructure on AWS (or equivalent), including data lakes, warehouses, and real time pipelines. Experience across a variety of AWS products such as S3, Glue, EMR, Lambda, Aurora or equivalents. Professional software development experience with Python and SQL. Able to work as a team to deliver against requirements in a collaborative and agile way. Desirable Requirements Certification from a major cloud provider, ideally AWS Certified Solutions Architect. Data visualisation experience. Experience of testing, CI and monitoring data driven applications. Experience working with third party APIs. Experience with dbt, Snowflake or DataBricks. Experience with orchestration tools e.g., Airflow. Experience with messaging and event processing platforms. Building REST/GraphQL APIs. Benefits You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie's values are Ownership, Deliver Results, Build Trust and Go Beyond. Generous annual leave. Two "well being" days per year plus the day off for your birthday. "Summer Fridays" - early office closing on Fridays during summer months. Annual bonus programme - based on individual contribution. To support your professional growth, all permanent employees will have access to an annual stipend of £1,000 to assist with personal development activities. Flexible working hours - we trust our people to manage their time and to focus on wider results. A flat organisational structure where every opinion matters, ideas are cultivated, and innovation is encouraged. Proximie is a truly global company with teams across the UK, Europe, United States, and the Middle East where you will have opportunities to see the world. Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.

A leading AI technology company in Bristol is seeking a Software Engineer to join their PyTorch team. The role involves designing and optimizing software for machine learning accelerators, contributing to code quality, and collaborating with cross-functional teams. Ideal candidates will possess strong software engineering skills, experience in Python and C++ development, and a passion for AI and ML. Benefits include flexible working, private medical insurance, and a supportive work environment.

New Business Development Manager, Bueno (Copeland brand Applylocations: London, United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: JR115209 About Us We are a global climate technologies company engineered for sustainability. We create sustainable and efficient residential, commercial and industrial spaces through HVACR technologies. We protect temperature-sensitive goods throughout the cold chain. And we bring comfort to people globally. Best-in-class engineering, design and manufacturing combined with category-leading brands in compression, controls, software and monitoring solutions result in next-generation climate technology that is built for the needs of the world ahead.Whether you are someone looking for a career change, a professional, an undergraduate student exploring your first opportunity, or recent graduate, we have opportunities that will allow you to innovate, be challenged and make an impact. Join our team and start your journey today!We are looking for a commercially driven and proactive New Business Development Manager to join Bueno (a Copeland brand) and drive new business growth across the commercial real estate and built environment sectors in the UK.This role has a dual focus: driving new business and pipeline growth while also supporting the operational excellence of the business development function. This is a hands-on growth role requiring strong commercial acumen, attention to detail, and the ability to collaborate effectively with internal teams to clearly position Bueno's solutions and value proposition. Key responsibilities of the role: Business Development & Pipeline Growth Identify new markets and target segments where Bueno can deliver value through market research and strategic prospecting. Originate and qualify new business opportunities through cold outreach, targeted sales activities, and relationship development. Manage the full sales cycle from initial engagement through to contract execution. Align client business needs with Bueno's platform capabilities and value proposition. Maintain strong CRM discipline, including accurate pipeline management, forecasting, and sales reporting. Sales Enablement Support colleagues on large enterprise opportunities through stakeholder mapping, proposal coordination, and sales support activities. Manage the end-to-end RFP, RFT, and proposal process for enterprise opportunities. Coordinate with internal subject matter experts to develop high-quality tender submissions and commercial proposals. Drive continuous improvement and standardisation across sales processes, proposal documentation, and tender response practices. Internal Collaboration Work closely with internal teams to ensure smooth post-sale implementation and ongoing service excellence. Build strong relationships with key internal stakeholders to ensure Bueno's value proposition is consistently delivered to clients. Collaborate across sales, delivery, product, and technical teams to support business growth outcomes. Required skills and qualifications: Proven experience in business development, enterprise sales, or commercial growth roles. Strong technical understanding of HVAC and other building systems, energy efficiency, energy calculations, and measurement and verification (M&V) principles and practices. Strong experience managing complex sales cycles and developing new business opportunities. Excellent commercial acumen, communication, and stakeholder engagement skills. Experience preparing proposals, tenders, RFPs, or enterprise sales documentation. Strong organisational skills with experience managing CRM systems, forecasting, and pipeline reporting. Ability to work collaboratively across multiple internal teams and functions. About BuenoBueno is a global smart building analytics platform helping property owners and operators improve building performance, reduce energy consumption, and optimise operational efficiency across commercial real estate portfolios. The platform uses advanced AI, machine learning, and data analytics to provide portfolio-wide visibility, predictive insights, and actionable recommendations that support sustainability and operational outcomes.Bueno is now part of Copeland, a global leader in sustainable climate solutions and building technologies. Together, Bueno and Copeland are helping customers improve building performance, reduce emissions, and accelerate sustainability outcomes through innovative digital and energy solutions. Our Commitment to Our People Across the globe, we are united by a singular Purpose: Sustainability is no small ambition. That's why everything we do is geared toward a sustainable future-for our generation and all those to come. Through groundbreaking innovations, HVACR technology and cold chain solutions, we are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial.Our employees are our greatest strength. We believe that our culture of passion, openness, and collaboration empowers us to work toward the same goal - to make the world a better place. We invest in the end-to-end development of our people, beginning at onboarding and through senior leadership, so they can thrive personally and professionally.Flexible and competitive benefits plans offer the right options to meet your individual/family needs. We provide employees with flexible time off plans, including parental leav, vacation and holiday leave.Together, we have the opportunity - and the power - to continue to revolutionize the technology behind air conditioning, heating and refrigeration, and cultivate a better future. Learn more about us and how you can join our team! Our Commitment to Inclusion & Belonging At Copeland, we cultivate a strong sense of inclusion and belonging where individuals of all backgrounds, and with diverse perspectives, are embraced and treated fairly to enable a stronger workforce. Our employee resource groups play an important role in culture and community building at Copeland. Equal Opportunity Employer Copeland is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information or disability. We are committed to providing a workplace free of any discrimination or harassment. Work Authorization Copeland will only employ those who are legally authorized to work in the Country in which they apply. This is not a position for which sponsorship or work authorization will be provided. No calls or agency requests please.

Apple Inc. is seeking a Senior Machine Learning Engineer to join the Insight & Release Technologies team in London. The role involves designing and building machine learning workflows that enhance the software development lifecycle for various Apple platforms. Applicants should have expertise in ML engineering, strong software development skills, and experience in system design. The position emphasizes collaboration with cross-functional teams to innovate developer tools and improve productivity. A bachelor's degree in a relevant field is preferred.

Summary Yelp engineering culture is driven by our values: we're a cooperative team that values individual authenticity and encourages creative solutions to problems. All new engineers deploy working code their first week, and we strive to broaden individual impact with support from managers, mentors, and teams. At the end of the day, we're all about helping our users, growing as engineers, and having fun in a collaborative environment. At Yelp, we're dedicated to delivering the most relevant search results by leveraging cutting edge techniques in machine learning, data mining, and backend engineering. Our engineers play a key role in improving search recall, enriching results with contextual annotations, and optimizing search data pipelines. Their work directly impacts millions of users, helping them find the best local businesses with smarter, more intuitive search experiences. If you're excited about solving complex recall challenges, scaling search infrastructure, and driving innovation in search relevance, we'd love to have you on board! The Search Quality team is looking for a data oriented backend engineer to build and improve our internal systems to better support prototyping, testing, and scaling the next generation of Search with us. You'll be working closely with engineers on multiple teams to orchestrate a seamless development, testing, and shipping experience that will help bring us closer to our long term goals. This opportunity requires you to be located in the United Kingdom. We'd love to have you apply, even if you don't feel you meet every single requirement in this posting. At Yelp, we're looking for great people, not just those who simply check off all the boxes. What you'll do: Build, extend, and support our backend platforms to support prototyping, testing, and scaling our Search systems. Work closely with product focused backend engineers on the team to build efficient systems for Search Annotations, Recall, and LLM backed search experiences in general. Team up with other engineering groups, such as Ads and Market Engineering, to build cohesive backend systems that support our shared visions. Contribute to our next gen, smarter search roadmap, vision, and execution. What it takes to succeed: Fluency in an object oriented language (like Python or Java) Experience with databases (SQL and NoSQL), Unix, developing within a Continuous Integration/Deployment pipeline. Proficient in AWS services such as S3, Glue, Athena. Skilled in building and supporting large scale distributed systems that back a consumer app or website. Expertise in building effective APIs (like REST or GraphQL). Comfortable with performance analysis tools (e.g. tracers, profilers, debuggers, visualization tools). Capable of working and coordinating requirements across teams. Excellent documentation skills. Interest or experience in developing infrastructure supporting data intensive applications. What you'll get: Full responsibility for projects from day one, a collaborative team, and a dynamic work environment. Competitive salary, a pension scheme, and an optional employee stock purchase plan. 25 days paid holiday (rising to 29 with service), plus one floating holiday. £150 monthly reimbursement to help cover remote working expenses. £81 caregiver reimbursement to support dependent care for families. Private health insurance, including dental and vision. Flexible working hours and meeting free Wednesdays. Regular 3 day Hackathons, bi weekly learning groups, and productivity spending to support and encourage your career growth. Opportunities to participate in digital events and conferences. £81 per month to use toward qualifying wellness expenses. Quarterly team offsites. Closing Yelp values diversity. We're proud to be an equal opportunity employer and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, disability, or any other protected status.

Senior Data Platform Engineer Manchester, Cheltenham or London We are seeking a skilled Data Engineer to join our Engineering team, responsible for designing, building, and optimising scalable data pipelines that power advanced analytics and machine learning solutions. You will play a key role in enabling data-driven decision-making by delivering high-quality, reliable datasets to tools such as Amazon SageMaker and other analytics platforms. We are looking for a Data Engineer to work closely with the Data Science team to develop robust data pipelines that feed analytics and machine learning tools such as Amazon SageMaker and third-party platforms like Databricks. You will leverage AWS technologies such as EMR, S3, EKS and Airflow to process and orchestrate high-volume datasets, ensuring solutions are scalable, resilient and cost-efficient. You will also play a key role in embedding data loss prevention (DLP) principles and controls into data pipelines to protect sensitive information, while ensuring data is reliable, accessible, well-governed and optimised for downstream consumption. What we are looking for in you: Essential Strong experience in data engineering within AWS cloud environments. Hands-on experience with AWS big data technologies such as EMR, S3 and SageMaker. Proficiency in Python for building scalable data pipelines and processing frameworks. Experience with Apache Spark for distributed data processing. Experience designing and maintaining scalable batch and real-time data pipelines. Solid understanding of ETL/ELT design patterns and data modelling techniques. Experience with workflow orchestration tools such as Apache Airflow (ideally deployed on AWS). Familiarity with containerisation and orchestration using Docker and Kubernetes (EKS). Experience with infrastructure as code (e.g. Terraform) and CI/CD/GitOps practices. Proven ability to optimise performance and reduce cloud costs through partitioning, clustering and workload management. Understanding of data security principles, including data loss prevention (DLP). Desirable Experience with Databricks or similar third-party big data platforms. Knowledge of real-time streaming technologies (e.g. Kafka, Kinesis). Experience implementing data governance and compliance frameworks. Familiarity with monitoring and observability tools in AWS environments. Exposure to Lakehouse or modern data platform architectures. Jobs are provided by the Find a Job Service from the Department for Work and Pensions (DWP).

Senior Data Management Professional - Data Engineer - Economics Data Location: London Business Area: Data Ref Description & Requirements Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology - quickly and accurately. We apply problem solving skills to identify workflow efficiencies and implement technology solutions to enhance our systems, products, and processes. Our Team: The Economics Data team is responsible for onboarding, modelling, maintaining, and improving Economics datasets that are fit for purpose for our clients. Our data supports workflows across the Bloomberg Terminal, BQL, Enterprise, and other Bloomberg products. We manage macroeconomic, government, survey, forecast, time series, and vendor supplied datasets. Our focus is to deliver Economics data that is accurate, timely, scalable, well structured, and ready to use. What's the Role: The Economics Data team is looking for a Senior Data Management Professional - Data Engineering to help modernise our data platform and build scalable, resilient data workflows for critical Economics datasets. This role is focused on designing, building, and improving data pipelines, workflow orchestration, automation, monitoring, and technical infrastructure. You will reduce technical debt, modernise legacy processes, and embed quality controls directly into data pipelines and systems. You will work closely with Data, Engineering, Product, and Domain experts to deliver reliable data solutions that improve speed, scalability, observability, and maintainability across the Economics data lifecycle. We'll trust you to: Build, maintain, and optimise scalable data pipelines for critical Economics datasets. Modernise legacy workflows, reduce technical debt, and improve performance, reliability, and maintainability. Design automated pipeline controls for validation, monitoring, schema change, exception handling, and data integrity. Develop workflow orchestration, alerting, observability, and remediation processes. Translate business and client needs into engineering ready requirements and scalable technical solutions. Partner with Engineering on platform evolution, architecture, tooling, system design, and reliability. Apply automation, AI, machine learning, or statistical techniques to improve ingestion, enrichment, validation, and monitoring. Own data migrations, workflow redesigns, and technical transformation initiatives. Establish best practices for pipeline design, code quality, testing, documentation, version control, and operational handover. Influence data modelling, metadata, lineage, and lifecycle management practices from a technical implementation perspective. Mentor team members and raise the bar for technical execution, design thinking, and engineering discipline. You'll need to have: A bachelor's degree or above in Computer Science, Engineering, Statistics, Mathematics, Economics, Quantitative Finance, or equivalent experience. 4+ years of experience designing and building scalable data solutions, ETL pipelines, data workflows, and monitoring frameworks. Strong hands on experience with Python or similar programming/scripting languages. Experience with querying structured, semi structured, and unstructured datasets. Experience with workflow orchestration, observability, monitoring, alerting, and scalable architecture design. Ability to analyse, refactor, and modernise legacy systems. Strong understanding of data lifecycle management, data integration, data modelling, data profiling, and data governance. Experience building automated controls and reliability frameworks into data pipelines. Strong communication skills with the ability to collaborate across Data, Engineering, Product, Vendors, and other stakeholders. We'd love to see: Experience with Economics, macroeconomic, government, survey, forecast, time series, or vendor supplied datasets. Bloomberg Terminal, BQL, Enterprise, or Bloomberg data workflow experience. Experience productionising AI, machine learning, anomaly detection, NLP, classification, or LLM assisted workflows. Experience with cloud platforms, CI/CD, automated testing, version control, metadata management, lineage, or modern DataOps practices. Project management experience with Agile delivery, backlog management, JIRA, or similar tools. CDMP certification, or progress towards it, is a plus. If this sounds like you: We encourage you to apply. If you feel you are a strong fit, please submit your application through our career portal. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, colour, gender identity or expression, genetic predisposition or carrier status, marital status, nationality or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email .

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands-on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production-grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade-offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake-offs, and making evidence-based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade-offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to-end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI-powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias-mitigation controls, and participate in required reviews, sign-offs, and documentation. Run structured evaluations and bake-offs of models, tools, and frameworks, and provide evidence-based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high-impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long-term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

About Salesforce Salesforce is the AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Job Category Sales Role Description As an AI and Data Technical Architect, you will act as a senior, hands on technical leader and trusted advisor to our customers. You will be responsible for designing, validating, and operationalizing enterprise grade data and AI architectures centered on Salesforce D360 and the Agentforce platform. This role sits at the intersection of data engineering, platform architecture, and applied AI, requiring you to guide customer Chief Data Officers and Enterprise Architects through emerging AI solutions. You will work side by side with Account Executives and Product teams to ensure customers realize the full value of the platform by designing scalable, secure solutions that integrate D360 into complex enterprise ecosystems-including hyperscalers, data lakes, and governance frameworks. You will Lead pre sales technical design by analyzing customer needs and recommending solutions aligned with Agentforce capabilities and integration with external agent frameworks. Shape best practices around generative AI, agent interoperability, prompt engineering, Data Cloud, and cross platform integrations. Collaborate with AEs and SEs to build hands on prototypes and demos using Agentforce and integrated external agents. Develop thought leadership content demo templates, whitepapers, enablement sessions focused on agent lifecycle, integration strategy, and technical effectiveness. Act as a central technical knowledge resource, proactively addressing internal technical inquiries, facilitating deep technical enablement, and documenting best practices to empower specialist teams across the organization. If you are naturally curious about AI and Data, love diving into new technologies, and enjoy educating others while crafting solutions that deliver real business impact, we want to talk to you! Responsibilities Understand Agent Interoperability - Map and integrate external agents from hyperscalers (e.g. Copilot, Gemini) into Agentforce via open standards (MCP, A2A); design how these systems collaborate. Enable Conversational & Background Agents - Use Agentforce Studio and Agent Builder to configure chat and background agents; integrate with external channels including voice via hyperscaler APIs. Drive Prompt Engineering & Lifecycle Strategy - Lead prompt design, testing, monitoring, and iteration; define agent lifecycle best practices from development through refinement. Build Hands On Demos & Prototypes - Co create quick prototypes ( Lead Pre Sales Workshops - Facilitate whiteboarding, deep dive sessions, and quick enablement for customers and internal teams. Advise on Data & Integration - Integrate Data Cloud (D360), CRM, MuleSoft APIs, and external agent endpoints ensuring cohesive architectures that align with compliance and governance policies. Support Early Adoption - Occasionally assist in proof of value engagements post sale by tuning agents and guiding customers toward self sufficient enablement. Own Technical Architecture Decisions - Oversee data modeling, identity resolution, real time vs. batch patterns, data graph design, and activation strategies within D360. Own Technical Enablement - Create and manage accessible technical documentation, knowledge bases, and FAQ resources to rapidly resolve internal technical inquiries, empowering specialist teams to handle technical discussions confidently. Requirements Technical Pre Sales/Consulting - 7+ years of hands on experience designing and delivering data, analytics, and AI architectures in enterprise environments. Salesforce Expertise - Hands on experience with Salesforce Agentforce and deep fluency with D360 and core Salesforce platform services. External Ecosystem Knowledge - Strong understanding of external agent ecosystems and interoperability. Proven Track Record - Experience in prompt engineering, agent lifecycle management, and hands on prototype development. AI & ML Expertise - Experience with machine learning concepts (predictive and generative AI), plus the ability to communicate value to diverse audiences. Data Stack Knowledge - Deep expertise in modern cloud data platforms (Snowflake, Databricks, BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC). Hands On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring new AI frameworks, sharing insights, and experimenting with cutting edge technologies. Preferred Requirements Advanced Integration - Experience integrating Salesforce with external agents via APIs and open standards (MCP, A2A). Governance & Observability - Familiarity with prompt governance, observability, and monitoring frameworks. Cross Platform Background - Background in cross platform integrations (e.g., Hyperscaler SDKs to Salesforce Flows). Multimodal Pipelines - Prior exposure to conversational voice pipelines or multimodal integrations via hyperscaler services. Advanced AI/ML Frameworks - Exposure to frameworks (TensorFlow, PyTorch), MLOps practices, and cloud AI platforms like Google Vertex AI or AWS Sagemaker. Education - BS in Computer Science, Engineering, Data Science, or equivalent technical field. Unleash Your Potential When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world. Accommodations If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form. Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to the use of AI tools and opt out options. Posting Statement Salesforce is an equal opportunity employer and maintains a policy of non discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

Google Inc. is seeking a Forward Deployed Developer in London, UK, to engage with customers and develop custom conversational AI solutions. The role demands expertise in software design and machine learning, with a minimum of 5 years in the field. Ideal candidates will collaborate directly with clients to optimize AI applications, manage ML infrastructure, and enhance business operations. You will play a key role in transforming customer engagements and have the chance to work with cutting-edge technologies and data-driven solutions.

Requirements The ideal candidate will be a "builder" that has both a sales and technical background that enables them to drive customer engagement from technical professionals through to senior executive levels, and across Security, Network, Development and Infrastructure teams Understanding cloud architecture (systems design and architecture patterns) will be essential to being effective in the role Our Solutions Engineers come from a wide range of backgrounds: financial consulting, engineering, software development, product management, customer support, and project delivery. We're serious about building a diverse team When hiring we look for diversity of experience combined with genuine curiosity for our technology Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms You are naturally curious, and an avid builder who is not afraid to get your hands dirty You appreciate the diversity of challenges in working with customers, and look forward to helping them realize the full promise of Cloudflare You've built web applications before, or contributed to existing web applications in a meaningful way Polished communication and executive presentation skills with ability to drive a discussion with a broad range of stakeholders (from the web developer to head of platforms) Relationship building: a proven track record of building deep technical relationships with engineers and senior executives in large and strategic accounts. Experience in managing various stakeholder relationships to build consensus on security solutions/projects Experience managing technical sales within large accounts Developing champion style relationships Driving technical wins Assisting with technical validation A deep understanding of core industry components of Cloudflare solutions (and a desire to learn more): Internet security technologies including DDoS and DDoS mitigation, Firewalls, TLS, VPN, DLP Networking technologies including TCP, UDP, DNS, IPv4 + IPv6, BGP routing, GRE, SD-WAN, MPLS, Global Traffic Management HTTP technologies including reverse proxy (e.g., WAF and CDN), forward proxy (secure web gateway), serverless application development Zero-trust network access (ZTNA & SASE) concepts including identity management and authentication Cloud computing technologies such as AWS, GCP, Azure and others Some scripting or programming experience with one or more of JavaScript, Python, Golang, BASH Understanding of, or experience with, regulatory requirements such as FedRAMP, GDPR, PCI DSS, HIPAA, SOC-2, ISO/IEC An undergraduate degree in Computer Science, Engineering or a related field. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome (Desirable) Graduate-level degrees in Computer Science, Engineering or related fields. Reminder: this is not a strict requirement at all. Candidates from all walks of life are welcome (Desirable) Relevant industry Certifications, Terraform experience (Desirable) Exposure to emerging technical landscape trends such as machine learning, GenAI, DevOps, security operations etc You can translate technical concepts and jargon for a wide variety of audiences: from systems engineers, to front-end developers, through to IT managers and C-levels in organizations You want to be constantly learning new things and teaching what you've learned to the broader team through internal and external blog posts, team demos, and product training sessions You have a knack for understanding problems and finding creative ways to solve them. Our product suite is ever growing, and knowing how to identify which parts will solve a customer's particular problem is important You understand how to manage a project, work to deadlines, and prioritize between competing demands What the job involves Digital Native SEs at Cloudflare work with the most innovative and cutting edge companies. In targeting high growth, technologically advanced, Cloud native, Enterprise companies, SEs are positioned to drive in depth product discussions while communicating and demonstrating value quickly to customers This role within the digital native segment focuses on both the acquisition of prospective Digital Native accounts, as well as the expansion of existing customer accounts Cloudflare's solutions engineering function is responsible for collaborating with clients from early stage ideation through to planning for production Being much more than an expert solely in Cloudflare's services, our Senior Solutions Engineers are expected to sit alongside our peers in our clients, and to contribute their energy, ideas and opinion on solving the hard problems we face in our industry today Often this means deep work on the art of the possible (and sometimes being willing to put aside preconceptions on the impossible!) On any given day, the role will provide both a challenging and rewarding opportunity to develop adjacent technology expertise as well as mastering key skills relating to technical and industry advocacy on behalf of our clients A key aspect will be offering good practice guidance and adopting a deploy to production mindset, where it is as much about the operational process as it is about the product As part of our broader solutions engineering community, you will be working will colleagues with deep subject matter expertise and industry knowledge upon whose insights will support your own Of course, as a senior member of the team, you will also be in a position to contribute to a body of knowledge across key domains of networking, cybersecurity and edge computing, as well as industry analyses and perspectives As an SE, there will often be more than one way to solve a problem - hence what might be a best practice in a given context might not be true in another! This is where your experience will help On the Solutions Engineering team, you will find a collaborative environment where everyone brings different strengths and jumps in to help each other As critical members of Cloudflare's sales team, Solutions Engineers drive technical discussions and implementations to help generate new business, expand existing business, and keep our customers happy In business generation and expansion, you'll be tasked with qualification of prospect and customer use cases, technical requirements discovery, leading demonstrations, solution identification and design, and collaborative work on proofs of concept (PoCs) For our existing customers, Solutions Engineers are part of a dedicated account team that advises the customer on technical best practices, implementation of Cloudflare products and features, and strategic guidance on internet security and performance The role requires % travel to attend meetings with prospects or customers, attend conferences and other industry events, and to collaborate with your Cloudflare teammates

About us Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! The role As a software engineer for Wayve's Simulation Technology team, you will be an expert software engineer who evolves a core component of Wayve's simulation platform, which is used to develop and evaluate Wayve's driving intelligence. Wayve's approach to autonomous driving presents unique challenges for simulation. Our end to end driving stack requires a simulator that is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale. You will be responsible for shaping and implementing the technical roadmap in one of three key areas: robot emulator fidelity, visual fidelity, or efficient scaling. You will be working closely with our robotics, research, platform, and data teams, as well as the rest of the Simulation Technology team to ensure that our simulation platform meets the needs of our end-users by providing accurate, scalable, and high signal simulations. Challenges you will own Own key performance indicators (KPIs) for simulator cost, SLOs, throughput, latency, etc. Work cross-company on aligning technical dependencies for simulator implementation Lead technical discussions and guide technical direction Effectively integrate the components of the simulated robot into the simulation platform Effectively integrate machine learned graphics subsystems into the simulation platform Implement production quality software in Python About you Essential Experience with workflow orchestration systems (e.g. Airflow, Dagster, Flyte, etc.) and/or developing data intensive applications Excellent development skills in Python Deep knowledge of Kubernetes at the user level Good sense of systems and data oriented software engineering design - what makes code reusable and extensible Understanding of common software performance issues and design tradeoffs 5+ years of industry experience designing and programming software Excellent communication and people engagement skills Desirable Experience in the field of autonomous vehicles or robotics Proficiency with other programming languages like Go or C++ Experience scaling simulations or data intensive workloads Experience with design, implementation, and optimization of large scale machine learning inference systems running in cloud GPU environments Experience operating and scaling modern machine learned graphics techniques (NeRF, Gaussian Splatting, or GenAI) This is a full time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. Wayve is committed to creating an inclusive interview experience. If you require any accommodations or adjustments to participate fully in our interview process, please let us know. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you're passionate about self driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. For more information visit Careers at Wayve. To learn more about what drives us, visit Values at Wayve. DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non discriminatory.

At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. Skills and Competencies Strong problem-solving capability, with the ability to break down ambiguous business problems, form and test hypotheses, reason from first principles, and determine when AI is the right solution versus simpler alternatives. Confident stakeholder communication and presentation skills, with the ability to explain complex technical concepts to non-technical audiences, present trade-offs to senior leaders, and translate effectively between engineering, product, and business teams. Proven ability in requirements gathering and user experience design, including eliciting and documenting business needs, designing intuitive AI-powered experiences, and incorporating iterative user feedback. Adaptability and comfort working through ambiguity, adjusting technical and delivery approaches as new evidence, feedback, or business priorities emerge. Hands on applied AI engineering experience, including proficiency in Python, JavaScript, or similar languages, and practical use of modern GenAI and agent frameworks such as LangChain, LlamaIndex, or SmolAgents. Experience building, deploying, and maintaining production grade AI systems that deliver measurable business value. Working knowledge of data management, including data architecture, governance, and privacy considerations, with experience using tools such as Pandas, NumPy, SQL, and a major cloud platform (AWS, Azure, or GCP). Practical experience with production reliability, including monitoring, release gates, rollback strategies, incident response, and managing trade offs between quality, latency, and cost. Experience evaluating emerging AI technologies and frameworks, designing structured bake offs, and making evidence based recommendations. Demonstrates deep expertise in applying AI responsibly, including consideration of ethical use, risk management, and governance in production environments. Education Bachelor's degree required in Computer Science, Data Science, Statistics, Mathematics, Business, Information Systems, or a related field. Master's degree or PhD welcomed, or equivalent demonstrable experience in applied AI. Demonstrated commitment to continuous professional development in AI or machine learning through certifications, publications, conference participation, or similar evidence of staying current in the field. Responsibilities Operate as a senior individual contributor who partners closely with the business to design, deliver, and embed applied AI solutions from initial concept through to reliable production use. Partner with business stakeholders and workstream leads to understand operational challenges and translate them into AI solutions aligned with business priorities. Present progress, options, risks, and trade offs clearly and confidently to senior leaders, keeping stakeholders and delivery teams aligned. Own the end-to end user journey for solutions, including requirements gathering, experience design, rollout planning, user training, and feedback capture. Frame and structure problems rigorously before designing solutions, ensuring clarity of scope, assumptions, and success criteria. Design, build, and deploy AI powered solutions such as automation, intelligent data pipelines, predictive analytics, and custom internal tools, holding work to a quality standard appropriate for the financial services industry. Own the reliability of AI services in production, including defining release gates, monitoring, rollback strategies, and incident response processes. Profile system performance, manage token and compute usage, and balance solution quality, latency, and cost. Apply responsible AI practices, including privacy, security, and bias mitigation controls, and participate in required reviews, sign offs, and documentation. Run structured evaluations and bake offs of models, tools, and frameworks, and provide evidence based recommendations. Contribute to the Applied AI team's shared practice through documentation, demos, reference patterns, walkthroughs, and mentoring of more junior engineers. Plan and execute work with strong delivery discipline, surfacing risks and dependencies early and landing deliverables on time and within scope. About the Team The Applied AI team harnesses the latest advances in generative AI to amplify Moody's Analytics' capabilities across the enterprise. By combining strong AI product and engineering expertise with deep business understanding, the team focuses on high impact internal workflows, beginning with sales and extending across customer service, marketing, product strategy, operations, legal, and finance. The team's mission is to create shared institutional intelligence about customers-their needs, behaviors, and feedback-enabling sharper decisions, faster actions, and long term success for the business. Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody's Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

AWTG Ltd. is looking for a Senior Data Scientist in Greater London to lead the development of advanced analytical and machine learning solutions. The ideal candidate will have strong experience in delivering data science solutions, particularly in Python and R, and will guide teams on data preparation and model selection. Responsibilities include designing, validating, and deploying data science models while ensuring ethical and useful outputs for clients. The role also requires strong communication skills and a good understanding of data engineering, privacy, and AI governance.