1132 jobs found

Data Engineer for a major offshore wind project in The United Kingdom Responsibilities Design and implement scalable ingestion pipelines from multiple source systems including and internal business data sources. Ensure reliable, automated, and monitored data flows into the Bronze layer of the Medallion architecture. Work within client's existing security framework to establish compliant connectivity to operational data sources. Build and maintain Silver and Gold layer transformations in Databricks using Python and SQL. Onboard datasets into Unity Catalog, ensuring proper governance, lineage, and discoverability. Platform Collaboration & Delivery Support: support the ML/Data Scientist in preparing clean, structured datasets for anomaly detection and asset performance modelling. Contribute to technical documentation and ensure pipelines are maintainable and transferable. Stay current on Databricks and Azure platform developments relevant to the stack. Support the Digital & AI Strategy Manager in assessing feasibility of new data source integrations as the roadmap evolves. Experience & Qualifications Master's degree in Computer Science, Data Engineering, Software Engineering, or a related technical field. Professional certifications in Azure, Databricks preferred. Training or background in energy systems, renewable energy, offshore wind or BESS technologies is a strong plus. 4-7 years of hands on data engineering experience in a cloud environment. Demonstrated experience delivering production pipelines on Databricks and Azure (ADLS Gen2, ADF or equivalent). Proven ability to implement Medallion architecture or equivalent layered data modelling patterns. Experience with REST API ingestion and integration of business systems (ERP, finance tools). Experience in a contractor or project based delivery model preferred. Exposure to OT/SCADA environments or energy sector data. Exposure to MLOps workflows or collaboration with data science teams.

Client-facing R&D Generative AI Architect Job Info Job Identification 11937 Posting Date 03/26/2026, 11:20 AM Job Role AI Engineer-AI Solutions Architect Experience (In Years) 6-9 Job Location London Job Description EXL (NASDAQ: EXLS) is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role Title: Client-facing R&D Generative AI Architect BU/Segment: Digital Location: London, United Kingdom (Flexible hybrid working) Employment Type: Permanent Reporting to: Chief AI Architect in NYC, US East Cost time zone Summary of the role We are seeking a visionary and technically adept Assistant Vice President (AVP) in EXL's AI Innovation & R&D team to spearhead our innovative client-facing initiatives in the rapidly evolving fields of Generative and Agentic AI. This high-impact, senior consulting role requires a unique blend of deep technical expertise in AI solutioning and deployment, Fortune 500 client stakeholder management skills, and the ability to drive thought leadership. You will be instrumental in advising Insurance, Healthcare, and Banking clients, designing cutting-edge AI solutions, leading complex implementations, and shaping EXL's strategy and market presence in Generative and Agentic AI. You will collaborate closely with data science, technology, business development, and client teams to identify opportunities, architect robust solutions, and deliver transformative results. As part of your duties, you will be responsible for: AI Architecture Innovation Research & Design: Our mantra is Innovation at Speed. Focus on new innovative methods of designing and architecting AI and GenAI systems and be able to grasp and adapt monthly and weekly AI innovation coming out in the industry and apply it to our clients' use cases and needs in new modern ways. Client Advisory & Solutioning: Engage directly with senior client stakeholders (including C-suite) to understand complex business challenges, identify opportunities for GenAI and Agentic AI, and define project scope. Workshop Facilitation: Design, lead, and facilitate high-impact client workshops and strategy sessions focused on identifying and prioritizing Generative and Agentic AI use cases and roadmap development. Technical Leadership & Architecture: Design, architect, and oversee the development and deployment of scalable, robust, and cutting-edge Generative AI and sophisticated Agentic AI systems (including multi-agent workflows) for client and internal projects. Project & Engagement Leadership: Lead large-scale, complex Generative AI and Agentic AI projects from strategic conception through successful deployment, managing cross-functional teams (internal and client-side) and ensuring timely delivery of high-quality solutions. Technical Mentorship: Mentor and guide technical teams (data scientists, data and AI engineers) in best practices for advanced AI development, deployment, MLOps/LLMOps, and agentic system design. Stakeholder Management: Build and maintain strong relationships with key internal and external stakeholders, effectively communicating complex technical concepts and project progress. Quality & Best Practices: Ensure adherence to rigorous software engineering principles, Agile methodologies, and responsible AI practices throughout the solution lifecycle. Stay Current: Maintain deep expertise in the latest trends, research, tools, and technologies within Generative AI, Large Language Models (LLMs), and Agentic AI paradigms. Qualifications and experience we consider to be essential for the role: Programming & Libraries: Deep proficiency in Python and extensive experience with relevant AI/ML/NLP libraries (e.g., Hugging Face Transformers, spaCy, NLTK). AI-driven SDLC: Claude Code, Codex. Experience using Cursor, Windsurf, Replit, and Github Copilot. Google Stitch. LLM Expertise: Proven experience developing applications leveraging state-of-the-art LLMs (e.g., GPT series, Llama series, Mistral, Claude) including prompt engineering, fine-tuning, and evaluation. GenAI & Agentic Frameworks: Hands on mastery of core GenAI frameworks (e.g., LangChain, LlamaIndex, Langfuse) and practical experience with Agentic AI frameworks and concepts (e.g., AutoGen, CrewAI, LangGraph, OpenClaw, NemoClaw, agent planning, tool use integration, multi agent collaboration). AI Architecture: Deep understanding of AI/ML system architecture patterns, including microservices, event driven architectures, and patterns specific to RAG (Retrieval Augmented Generation), Graph RAG, Agentic RAG, and multi agent systems. Data: Knowledge of industry approaches to data engines and data labeling like Scale.ai and Mercor. Experience with auto data-labeling and synthetic data generation techniques. Vector Databases & Embeddings: Expertise in working with various embedding models and vector databases (e.g., Pinecone, Weaviate, Chroma, FAISS). Advanced AI Concepts: Strong grasp of advanced techniques such as complex task decomposition for agents, reasoning engines, knowledge graphs, autonomous agent design, and evaluation methodologies for complex AI systems. Software Engineering: Strong foundation in software engineering principles for building scalable, maintainable, and production ready AI systems. Cloud Platforms: Strong working knowledge and practical deployment experience on at least one major cloud platform (AWS, Azure, GCP), including their AI/ML services. LLMOps/MLOps: Expertise in designing and implementing robust MLOps/LLMOps pipelines for automated testing, CI/CD, monitoring, and governance of complex AI models and applications. Leadership & Communication Proven ability to lead and motivate diverse, global teams Excellent communication skills, capable of explaining complex AI concepts to various stakeholders Strong project and program management skills and experience working in Agile environments Qualifications Education: Bachelor's degree in Computer Science, AI, Machine Learning, or a related quantitative field. Master's or Ph.D. strongly preferred. Experience: Minimum 10 years of experience in AI/ML/Data Science, with at least 5 years in significant leadership roles involving solution architecture, team management, and project delivery. Deployment Success: Demonstrated track record of successfully architecting and deploying large-scale AI projects, preferably including complex GenAI and/or Agentic AI applications in enterprise or client settings. Consulting Background: Prior experience in technology consulting or a client facing technical specialist role within a technology provider is highly advantageous. Global Experience: Experience working effectively with global teams across multiple geographic locations is a plus. As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.

Job Description As a Senior Data Engineer, you'll focus on designing and implementing scalable, reusable data pipelines, platform components, and data engineering standards that enable reliable, secure, and high-quality data solutions across the organisation. You'll work closely with Data Scientists, Analysts, and Engineers embedded in product teams such as Forecasting, Recommendations, Marketing, Customer, and Pricing-helping them accelerate delivery and improve the quality and accessibility of data by providing a robust and standardised data platform experience. What you'll be doing Designing, building, and maintaining scalable data pipelines using Python and Scala, leveraging Spark and PySpark within an Azure ecosystem (including Azure Data Factory and Databricks). Developing and maintaining reusable data engineering templates, frameworks, and tooling to support data teams across ASOS. Driving standardisation and best practices across data ingestion, transformation, and serving layers to ensure consistency across diverse product domains. Enabling teams to deliver high-quality, production-ready datasets by providing guidance, patterns, and hands on technical support. Implementing and promoting modern data engineering practices - including CI/CD for data pipelines, data quality validation, testing, observability, and metadata management. Collaborating with stakeholders to understand data requirements and evolving the data platform to meet business needs. Partnering with Platform Engineering, ML Engineering, and Security teams to ensure scalable, cost efficient, and secure data infrastructure on Azure. Optimising data workflows and pipelines for performance, reliability, and cost efficiency. We believe being together in person helps us move faster, connect more deeply, and achieve more as a team. That's why our approach to working together includes spending at least 2 days a week in the office. It's a rhythm that speeds up decision making, helps ASOSers learn from each other more quickly, and builds the kind of culture where people can grow, create, and succeed. Qualifications Strong experience as a Data Engineer building scalable data platforms Deep expertise in Azure (ADF, ADLS, Databricks) Proficiency in Python and/or Scala (PySpark/Spark) for large-scale data processing Hands on experience with Databricks and Delta Lake Solid understanding of the end-to-end data lifecycle (ingestion -> transformation -> serving) Experience with dbt for transformations and Terraform for infrastructure as code Familiarity with CI/CD pipelines and modern data engineering best practices Strong grounding in data modelling, quality, and testing Experience with monitoring, observability, and performance optimisation Focus on automation, standardisation, and improving developer experience Additional Information BeneFITS' Employee discount (hello ASOS discount!) Opportunity for personalised learning and in the moment experiences that enable you to thrive and excel in your role Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Private medical care scheme Discretionary bonus scheme 25 days paid annual leave + an extra celebration day for a special moment Employee sample sales

About the role Are you passionate about ensuring the highest quality for cutting edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI powered work orchestration platform. You will be at the forefront of defining and implementing rigorous quality strategies for our enterprise grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM powered applications, ensuring exceptional product reliability and performance. Design and develop automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. Proficiency in at least one language like Typescript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high quality releases. Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams. Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post release quality validation. Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world class AI solutions. Design and manage test data strategies and mock services to ensure stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution. What you need 5+ years of hands on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed. A collaborative spirit that helps you Connect cross functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end to end quality of our products. Demonstrated ability to drive initiatives independently and thrive in a fast paced, evolving startup environment. Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for:

Purpose of the role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data. Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures. Development of processing and analysis algorithms fit for the intended data complexity and volumes. Collaboration with data scientist to build and deploy machine learning models. Assistant Vice President Expectations To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions and business divisions. Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes. Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues. Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda. Take ownership for managing risk and strengthening controls in relation to the work done. Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub function. Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy. Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc) to solve problems creatively and effectively. Communicate complex information. "Complex" information could include sensitive information or information that is difficult to communicate because of its content or its audience. Influence or convince stakeholders to achieve outcomes. C# Developer Responsibilities Join Barclays as a C# Developer where you will be required to help improve the process automation of a large scale programme of loan securitisations. The role requires a good understanding of financial concepts and the ability to think critically. As a multi disciplined team you will be expected to contribute to coding, system design, database design, documentation and testing of the features you develop. The ability to find answers through reading documentation, code analysis, data analysis and discussion with non technical users is desirable for this role. Day to day you will be discussing JIRA details with the technical and/or product lead, committing code and unit tests, writing and executing system test plans and collating test data for review with a business user. You will need to respond to queries from our business users on the features you support and propose solutions to any issues which arise. Qualifications & Skills Experience with C# T SQL Entity Framework Relational database design Docker Git Business Analysis Risk and controls, change and transformation, business acumen, strategic thinking and digital and technology proficiency Location This role will be based in Glasgow.

NVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects are trusted technical advisors to our customers; we work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! We are looking for an individual who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end user solutions. Your duties will vary from working on proof of concept demonstrations to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA based AI technology. Engaging with developers, quants, data scientists, and senior leaders is a significant part of the Solutions Architect role. What you'll be doing: FSI Strategic Engagement: Work with financial institutions and their technology ecosystem to leverage NVIDIA's advanced technologies. Algorithmic & SDK Guidance: Guide customers in implementing next generation model distillation, domain adaptation, reinforcement learning (RL), and post training algorithms by helping them adopt NVIDIA AI SDKs and APIs. Collaborative Innovation: Work closely with product management, engineering, applied research, and sales teams to develop and deliver comprehensive solutions. Technical Advocacy: Improve NVIDIA products and build creative solutions to overcome scaling challenges at the intersection of computer architecture, libraries, and AI applications. Knowledge Sharing: Contribute to the wider organization and community by sharing your expert knowledge, contributing to open source projects, or delivering hands on training. Enterprise Impact: Be part of the team that helps bring NVIDIA technology to life in the Enterprise, acting as the face and trusted expert advisor that our customers and partners rely on. What we need to see: BS, MS, or PhD degree in Machine Learning, Computer Science, Engineering, Mathematics, Physics, or a related technical field. Financial Services Background: Proven experience working within Financial Services firms. AI Framework Expertise: 5+ years of experience with AI frameworks such as PyTorch, JAX, or TensorFlow, and libraries like Hugging Face Transformers. Programming Proficiency: Strong Python programming, software design, and debugging skills. Parallelism & CUDA: Deep understanding of distributed computing and parallelism methodologies (model and data parallelism) coupled with a good understanding or hands on experience with CUDA. Model Lifecycle: Experience with AI model lifecycle components, including pre training, supervised fine tuning, and model evaluation. Adaptability: Capable of working in a constantly evolving environment and quickly adapting to change. Communication: Clear written and oral communication skills with the ability to effectively collaborate with executives and engineering teams. Ways to stand out from the crowd: Advanced CUDA: Deep expertise in writing and optimizing code for training and/or inference specifically for NVIDIA GPUs. NVIDIA AI Enterprise: Experience with or contributions to NVIDIA deep learning frameworks, particularly NeMo, Megatron Core, or NeMo RL. Financial Workloads: Demonstrated understanding of how GPU acceleration can be applied specifically to financial workloads (e.g., algorithmic trading, risk modeling). Large Scale Training: Hands on experience in large scale foundation model training, accuracy, and performance profiling. Tooling & Orchestration: Experience with distributed computing tools like SLURM and Kubernetes for training large models on GPUs. NVIDIA is at the forefront of breakthroughs in Artificial Intelligence, High Performance Computing, and Visualization. Our teams are composed of driven, innovative professionals dedicated to pushing the boundaries of technology. We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

Company Description Depop is a peer-to-peer circular fashion marketplace where anyone can buy, sell and discover secondhand fashion. Our mission is simple: to make fashion circular by making secondhand as exciting and rewarding as buying new. Founded in 2011, Depop's diverse community has helped move resale into the mainstream, where buying secondhand is no longer an alternative, but how people of different ages now engage with fashion. Today, more than 56 million registered users come to Depop to find great value, express their own personal style and give clothes a longer life. We believe that everything you want already exists, and our role is to help people discover it. Powered by a team of over 500 people, our company is headquartered in London, with offices in New York. In 2021, Depop became a wholly-owned subsidiary of Etsy - the global marketplace for unique and creative goods - and continues to operate as a standalone company. For more information, visit We aim to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . Depop is looking for an experienced Senior Backend Software Engineer to join the Better Matching Experiences (BMX) team permanently. BMX owns Depop's product discovery and personalisation experience - the highest traffic surfaces in the platform (by orders of magnitude!) and the largest user facing surface area across Depop's engineering organisation. The team builds and evolves the search, recommendations, and personalisation platform that powers how millions of users discover inventory across the marketplace. This is a cross-functional squad of Backend and iOS Engineers working closely with Product, Data Science, ML Scientists and Design partners, operating in a fast moving, experiment driven environment where user behaviour insights directly shape what we build and how we iterate. As a Senior Backend Engineer in BMX, you will have a unique opportunity to shape, evolve and scale our discovery and personalisation systems. You will influence how we migrate to modern architectures and help establish strong engineering foundations as we accelerate new user success and continuous discovery. What you will be doing Independently design and deliver backend solutions to medium-to-large problem spaces, from discovery through production and iteration Build and evolve core discovery services, pipelines and APIs that power personalisation at scale Help improve search relevance and recommendation quality by working at the intersection of backend engineering and ML-powered personalisation Take end-to-end ownership of your work, including design, implementation, testing, observability, and operational support Contribute to shaping technical direction within the team, improving system design, reliability, and developer experience Operate in an experiment-led environment, helping define hypotheses, success metrics, and feedback loops Collaborate closely with Product, Data Science, Design, and other Engineering teams to ensure solutions are well scoped and well understood Actively contribute to continuous improvement through retrospectives, post-incident reviews, and technical discussions Mentor and support other engineers in the team, raising the overall quality of delivery Why this role is exciting You will shape discovery and personalisation systems that directly influence how millions of users find what they love on Depop You will work at the intersection of product engineering and data science You will have real ownership over meaningful problem areas across search, recommendations, and the personalisation platform You will see direct, measurable impact from your work through experiment results and user engagement metrics You will help drive a significant architectural evolution as we modernise our service layer You will join a team that values experimentation, learning, and pragmatic engineering excellence What are we looking for Experienced in backend engineering fundamentals with experience independently delivering production systems Proficiency in at least one backend language such as Scala, Java or Typescript, with the ability to learn new languages quickly Experience working with data-intensive systems, including designing, consuming, and evolving data models across services Experience building or operating event-driven systems, such as producing and consuming events or messages in distributed architectures Experience building scalable and reliable services and APIs A strong sense of ownership paired with effective collaboration and communication Comfort working in ambiguous problem spaces and proactively shaping solutions Solid testing practices across unit and integration levels Experience working in a DevOps-oriented environment including CI/CD and production monitoring Desirable Experience: Experience with search or recommendation systems (e.g. OpenSearch, Elasticsearch) Experience working alongside ML/data science teams on personalisation or relevance problems Experience in experiment-led or hypothesis-driven teams with strong data and insights practices Experience in marketplace or eCommerce environments Hands-on experience with message brokers or streaming platforms such as Kafka or similar technologies Experience with Docker and Kubernetes Familiarity with AWS infrastructure and infrastructure-as-code tooling Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

AI Engineer / Azure / Generative AI / Permanent / London / Hybrid Vivo Talent are looking for an experienced AI Engineer to join our client and design, build and support enterprise AI platforms and solutions within a modern Azure environment. You'll be collaborating closely with developers, data scientists and business stakeholders to turn AI proof-of-concepts into secure, scalable production solutions. It is a great opportunity for someone looking to take concepts to solutions and make valuable impact. Key Responsibilities Build and maintain AI infrastructure using Microsoft Azure technologies including Azure AI Foundry, Azure OpenAI, Azure ML and Copilot Studio. Develop and manage CI/CD, LLMOps, and MLOps pipelines for Generative AI applications. Design and deploy GenAI, RAG and intelligent agent solutions across enterprise systems. Implement Infrastructure as Code (Terraform) and secure cloud environments following best practices. Support AI experimentation, model fine-tuning, prompt evaluation and production deployment. Monitor AI performance, token usage, cost optimisation, reliability and security. Collaborate with cross-functional teams to deliver scalable and compliant AI solutions. Promote Responsible AI, governance, and data security across all AI initiatives. Required Experience Strong experience with Azure AI services, Azure OpenAI and AI infrastructure engineering. Hands on expertise with Generative AI, RAG architectures, NLP and agentic workflows. Experience building secure CI/CD, LLMOps, and MLOps pipelines. Knowledge of Terraform, cloud security, APIs, and enterprise integrations. Familiarity with frameworks such as LangChain or Semantic Kernel. Strong stakeholder communication and cross-functional collaboration skills. This is an exciting opportunity to help shape and scale enterprise AI capabilities while working with cutting edge Generative AI technologies in a secure, innovation-driven environment.

NVIDIA is a world leader in AI computing. Our innovations are transforming industries and powering the era of AI and accelerated computing. At NVIDIA, we believe in creating solutions that improve lives and contribute to a more sustainable future. Solutions Architects are trusted technical advisors to our customers. We work with the most exciting computing hardware and software, driving the latest breakthroughs in artificial intelligence! We need individuals who can enable customer productivity and develop lasting relationships with our technology partners, making NVIDIA an integral part of end-user solutions. Your duties will vary from working on proof-of-concept demonstrations, to driving relationships with key technical leads and developers to ensure successful adoption of NVIDIA based AI technology. Engaging with developers, quants, data scientists, IT managers and senior leaders is a significant part of the Solutions Architect role. What you'll be doing: Work with financial institutions and their technology ecosystem in leveraging NVIDIA's advanced technologies. Provide technical guidance and support to internal teams and external stakeholders, ensuring effective ideation, research and developing solution prototypes, followed by a successful deployment. Work closely with product management, engineering, applied research and sales teams to develop and deliver comprehensive solutions. Stay updated on industry trends and advancements in hardware technologies to continually improve and innovate NVIDIA's software and data center solutions. What we need to see: BS/MS/PhD degree in Machine Learning, Computer Science, or related technical field. Minimum of 12 years of experience in AI and accelerated technologies. Background working within Financial Services firms. Expertise in writing code for training and/or inference for NVIDIA GPUs. Capable of working in a constantly evolving environment without losing focus. Self-starter with a passion for continuous learning and sharing findings across the team. Ways to stand out from the crowd: Demonstrated understanding of how GPU acceleration can be applied to financial workloads. Knowledge of software-defined infrastructure and orchestration tools (Kubernetes, OpenStack). Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions. Understanding of HPC systems: data center design, high speed interconnect InfiniBand, Cluster Storage and Scheduling related design and/or management experience. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. We encourage diversity in candidates' profiles.

Make Your Mark at Ipsos Join our NextGen BHT (Brand Health Tracking) team and be part of the transformative journey in revolutionising brand monitoring and brand marketing decision-making through advanced data science techniques. With your technical expertise, problem solving skills, and excellent proficiency in Python, using Jupyter Notebooks and / or Google Colab, you will make a valuable contribution to our clients' brand success. What is in it for you? This is a fantastic opportunity for a Data Scientist seeking to work on an exciting new product and wanting to widen their exposure to new technology and products in Market research. We offer a collaborative and innovative work environment where your contributions will be valued, and you will have opportunities for professional growth and development. Continuously learning and growing by leveraging guidance and mentorship from the Lead Data Scientist, fostering your professional development. The Role: We are looking for a talented and motivated Data Scientist to join our NextGen BHT data science team in the global BHT service line at Ipsos. As a key member of the team, you will work alongside our team of Data Scientists and data engineers, with guidance from our head of modelling and product manager, playing a crucial role in developing predictive modelling, synthetic data and other advanced analytics tools using Python and R (primary in Jupyter Notebooks and colab) to support business decision making and brand monitoring. Collaborating with the Lead Data Scientists and cross functional teams to develop and implement predictive modelling and advanced brand analytics tools using Python and R. Contributing to the development of new product features, working closely with the Head of Modelling, Lead Data Scientists and the broader team. Participating in agile development processes, delivering high quality results within designated deadlines. Continuously learning and growing by leveraging guidance and mentorship from the Lead Data Scientist, fostering your professional development. Effectively communicating to convey complex concepts to both technical and non technical stakeholders. Applying respondent level analytics to survey data, testing and refining synthetic data methods, and / or in building timeseries econometric models in relation to solving brand and marketing questions. About you: The successful candidate will bring A technical degree, with a focus on data science or statistics. Solid experience in data science, ideally in Market research or related role. Advanced coding in Python and R. Solid knowledge of statistical analysis and machine learning techniques. Proficiency in Python and experience using Jupyter Notebooks and / or colab for data analysis and modelling. Experience in applying respondent level analytics to survey data, and / or in building timeseries econometric models. Ideally in relation to solving brand and marketing questions. Strong problem solving and critical thinking skills. Effective communication skills to convey complex concepts to both technical and non technical stakeholders. Benefits: We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities. We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week. We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process.

Company Overview SPTS division of KLA designs, manufactures and markets wafer processing solutions for the global semiconductor and related industries. SPTS provides industry-leading etch and deposition process technologies on a range of single wafer handling platforms. End market applications include micro electromechanical systems (MEMS), advanced packaging, LED, high speed RF device ICs and power semiconductors. SPTS is part of KLA Corporation, which develops industry leading equipment and services that enable innovation throughout the electronics industry. We provide advanced process control and process enabling solutions for manufacturing wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. In close collaboration with leading customers across the globe, our expert teams of physicists, engineers, data scientists and problem solvers design solutions that move the world forward. SPTS wafer processing solutions include market leading silicon etch, dielectric etch, dry release etch, PVD, PECVD and molecular vapor deposition (MVD ), available with a range of wafer handling options for R&D, pilot production or volume production environments. SPTS is headquartered in Newport, UK, with an additional manufacturing facility in Allentown, Pennsylvania. It operates across 19 countries in Europe, North America and Asia Pacific, and offers comprehensive service and spare parts support through a worldwide network of service centers and qualified local agents. Job Description / Preferred Qualifications Primary purpose of the role: Working as part of the PVD Applications team, the primary responsibility will be the development of advanced deposition technology. This will involve working on a wide range of materials and applications and developing new hardware and processes to meet market requirements. Additional responsibilities will include overseeing and supervising junior engineers, writing technical reports for both internal and external use, reviewing technical literature, generating IP submissions and collaborating with other business units as required. Some requirement to write and review process specifications may also be needed. The role will involve advising KLA field teams and other members of the Newport team on application development and process tuning, and may include project management tasks and coordination with other teams. This position will involve some international travel and occasional shift work may be required. Key Responsibilities Develop PVD processes to meet technology roadmap targets and/or customer requirements. Design experiments and assess results using analytical equipment and appropriate software packages. Undertake problem solving and troubleshooting. Provide regular updates to management on progress of development work. Summarise results in a written report or presentation. Plan work and execute plans safely and on time. Contribute constructively to project teams for new products and processes. Research published work relevant to KLA's process development. Write invention disclosures and patent applications. Write technical papers for publication at conferences and seminars. Communicate results and ideas to management and co workers. Experience Knowledge and/or experience of thin film deposition techniques, plasma systems and high vacuum technology. Some experience or knowledge of computer simulation methods is preferred. Ability to design experiments and analyse data to rapidly identify solutions to complex problems. Good analytical skills, including the ability to carry out metrology such as SEM. Good oral and written communication skills. Ability to work independently as well as part of a team. Qualifications Physics, Chemistry or Material Science - Doctorate (Academic) Degree and related work experience. Physics, Chemistry or Material Science - Master's Level Degree and related work experience. Physics, Chemistry or Material Science - Bachelor's Level Degree and related work experience. What We Will Offer You? Annual leave starting at 25 days (plus bank holidays). Contributory pension scheme. Cash health plan. Cycle to work scheme. Global bonus plan. Share scheme. Rewards scheme. Life assurance. Equal Opportunity Statement KLA is proud to be an equal opportunity employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at or at +1 to request accommodation.

About Us At data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We're the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world. About our team The PPC team builds and optimizes large-scale ML models for online bidding across all major search providers, owning one of the industry's largest performance and auction strategies to keep competitive. We run end-to-end research-to-production cycles-from POCs and modeling to large-scale A/B testing-driving measurable impact by optimizing auction levers at scale. Role Overview Data Scientists take full ownership of the design and delivery of data science solutions, from ideation to implementation. They work independently on tasks like data consumption, preparation, and the translation of business problems into data stories. This role involves applying suitable statistical data analysis and modeling methods to solve complex business problems. Data Scientist works within the scope of their team, and occasionally across partner teams, to inform business decisions. They independently identify and manage stakeholders, effectively communicating complex analysis results. As experienced members of the team, they provide guidance to junior colleagues, act as force multipliers, and contribute significantly to their community. They stay updated about the larger data ecosystem and the goals of their track and business unit, ensuring the quality of their work through peer review. They play a key role in influencing business decisions within their specific area. Key Job Responsibilities and Duties Responsible for owning the design and delivery of entire Data Science solutions based on business requirements, bringing them from the initial idea-generation phase to implementation independently. Responsible for working autonomously on consuming data, preparing it for data science use, translating business problems to data stories and solving them effectively by applying suitable statistical data analysis and modeling methods. Leverages input from business stakeholders in all of the above to determine the right technical solutions to deliver customer value. Responsible for working primarily within the scope of their team to deliver work that informs business decisions for the product / business topic they currently work on, occasionally collaborating across multiple teams. Responsible for designing and interpreting quantitative experiments to objectively guide key business decision making. Responsible for independently identifying and managing stakeholders in operational, project-based, and managerial roles. Effectively communicates, addresses stakeholder needs, and conveys complex analysis results in a clear manner. Begins to guide junior colleagues in stakeholder engagement. Responsible for being flexible in adopting existing internal and external Data Science approaches, proposing and spotting opportunities to apply new approaches and expanding their technical competencies and that of their peers when a more efficient way presents itself. Responsible for leveraging Data Science for impact while learning to incorporate scalability, reproducibility and long term orientation in their work. Responsible for acting as a force multiplier for junior peers in the team by actively helping them with their craft through means of coaching, mentoring and setting a good example. Responsible for contributing to the community of their area by supporting community projects aimed at making other data professional more effective, actively participating in community strengthening activities (ie. recruitment) and connecting with peers beyond their area. Must be knowledgeable about the larger data ecosystem at Booking and how it relates to the work they do. Responsible for collaborating with peers in related crafts (ie. Data Engineering), anticipating data needs to ensure smooth progress of their individual projects. Must be knowledgeable with the operational, tactical and strategic goals of their area (ie. track / vertical) and have high level knowledge of the goals of their wider area (ie. Business Unit). Responsible for ensuring quality of their own work by validating it through peer review. Responsible for influencing business decisions within their specific area. Role Qualifications and Requirements Master's degree Broad Job Knowledge (3 - 5 years) Nice-to-Have Skills Experience solving real problems using data mining techniques and with statistical rigor Strong technical skills regarding data analysis, statistics, machine learning and programming. Strong working knowledge of Hadoop, Spark, SQL, Python and/or R. Excellent communication skills Strong skills in translating business problems into data problems Strong data visualization skills Strong skills in storytelling with data Strong knowledge of statistics and experimentation Strong knowledge of data management (engineering, data pipelines, workflows) Strong knowledge of the possibilities and limitations of different types of data analysis and/or data science modelling Benefits & Perks - Global Impact, Personal Relevance 's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive compensation and benefits package, as well unique-to-benefits which include: Annual paid time off and generous paid leave scheme including: parent, grandparent, bereavement, and care leave Hybrid working including flexible working arrangements, and up to 20 days per year working from abroad (home country) Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and wallet credit Diversity, Equity and Inclusion (DEI) at Diversity, Equity & Inclusion have been a core part of our company culture since day one. This ongoing journey starts with our very own employees, who represent over 140 nationalities and a wide range of ethnic and social backgrounds, genders and sexual orientations. Take it from our Chief People Officer, Paulo Pisano: "At the diversity of our people doesn't just build an outstanding workplace, it also creates a better and more inclusive travel experience for everyone. Inclusion is at the heart of everything we do. It's a place where you can make your mark and have a real impact in travel and tech." We ensure that colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Application Process This role does not come with relocation assistance. Application and CV Review Recruitment Phone Screen Craft Business Interview 1 Craft Business Interview 2 FIT Interview Hiring Decision is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive.

NVIDIA's Worldwide Field Operations (WWFO) team is looking for a Solution Architect with deep expertise in AI solutions and scalable data center infrastructure. Our innovations are powering the era of AI, and we need a technical leader to drive the design and deployment of cutting edge compute platforms. In this role, you will be the first line of technical expertise between NVIDIA and our customers, supporting and implementing solutions that address complex deployment challenges. You will work closely with customers, partners, and internal teams to deliver high-performance, scalable, and efficient data center architectures. We are looking for someone who can maintain alignment in a fast paced environment and build lasting relationships within the financial sector. What you'll be doing Financial Services Engagement: Work directly with trading firms and banks to leverage NVIDIA's advanced technologies for financial workloads. Infrastructure Design: Implement sustainable data center architectures that optimize energy efficiency and reduce environmental impact. Technical Specialist: Serve as a technical specialist for GPU and networking products, collaborating closely with account managers to secure design wins. Collaboration: Work closely with product management, engineering, and sales teams to develop and deliver comprehensive AI and accelerated computing solutions. Industry Interaction: Dynamically engage with developers, industry researchers, data scientists, and IT managers to solve a range of technical challenges. RA Reviews: Lead technical project aspects of complex data center deployments, including the review and validation of Reference Architectures (RA) for large scale financial infrastructure. What we need to see BS, MS, or PhD degree in Machine Learning, Computer Science, or a related technical field. Financial Firm Experience: Proven experience working within Financial Services firms. Accelerated Computing: Minimum of 8 years of experience in AI and accelerated technologies. Pre-Sales Expertise: Proven experience driving the technical pre sales process and engaging with customer engineers and architects. Large-Scale Systems: Proven experience with large scale systems management and infrastructure automation. GPU Stack: Experience with NVIDIA GPUs and related software stacks, such as cuDNN and NCCL. Core Infrastructure: Strong knowledge of AI and data center technologies, including proficiency in Operating Systems and Linux kernel drivers. Communication: Solid written and oral communication skills with familiarity in collaborative environments. Ways to stand out from the crowd Cloud Platforms: Proficiency in cloud platforms (AWS, Azure, Google Cloud) and hybrid cloud solutions. Orchestration & Tooling: Knowledge of software defined infrastructure, Kubernetes, and MLOps technologies. Advanced Cooling: Experience with liquid cooling technologies and practices. Systems & Networking: Hands on experience with InfiniBand, NVIDIA Networking technologies (DPU, RoCE), and ARM CPU solutions. Programming: Experience with Python or C/C++ programming and AI workflow development (training/inference). Benefits We offer highly competitive salaries, an extensive benefits package, and a work environment that promotes diversity, inclusion, and flexibility. As an equal opportunity employer, we are committed to fostering a supportive and empowering workplace for all.

Your role We are seeking a Research Software Engineer to join the IFS System Design team to take responsibility for the R2O process as it relates to the CAMS configurations of the IFS, alongside more general support and development of the IFS software carried out by the IFS Section. The successful candidate will work closely with teams in the Production Section and the Atmospheric Composition Section to facilitate the effective testing and transfer of the latest CAMS developments into operational service. Additionally, the candidate will work with the IFS Section to provide support and development of the IFS software infrastructure, including workflow management with ecFlow, shell and Python scripting and the Fortran and C++ code used in the forecasting and data assimilation systems running on our HPC facility in Bologna, Italy. About the Section/ Team The Integrated Forecast Systems Section is responsible for developing, maintaining and testing the forecasting software stack, co ordinating the handover to the teams responsible for operational deployment, and ensuring the performance portability of the IFS system. The IFS Systems Development team is responsible for the software infrastructure underpinning ECMWF's forecasting models - including user interfaces for configuring the model systems, workflow management of the complex suites running the model systems, and the shell/Python scripts which execute individual components of the suites. Your responsibilities Reviewing, merging and testing contributions for new releases (cycles) of the IFS operational service before passing to Production Section Reviewing and testing mid cycle updates before passing to Production Section Providing technical expertise, guidance and design review to developers Support and development of the IFS Software Infrastructure What we're looking for Collaborative team player who works effectively within cross functional and multidisciplinary teams Strong analytical and problem solving skills, combined with a proactive and solution oriented mindset Adaptable and responsive to evolving priorities, business requirements, and user needs Excellent communication skills, with the ability to engage clearly and confidently with technical teams, remote colleagues, and non technical stakeholders Highly organised, with the ability to manage multiple tasks and meet competing deadlines effectively Your profile - Experience, Knowledge and Skills An advanced university degree (EQ7 level or above) or equivalent experience in a physical, computational or mathematical science, or a related subject The following would be an advantage. However, you are encouraged to apply even if you don't feel you meet all the criteria. Highly Desirable Experience of pulling research or prototype developments into time critical production environments Experience developing and maintaining weather forecasting systems, or similar complex computational systems Demonstrable software development skills on complex codebases, including experience of using processes for software testing and management Proficiency in object oriented coding in Python Competence in shell scripting within Unix or Linux environments Desirable Experience of High Performance Computing (HPC) environments Experience developing and maintaining interdependent workflows or pipelines of software Working productively with scientists and technical specialists Experience working with a traditional compiled language (eg. Fortran, C++ etc) Experience in weather forecasting, atmospheric chemistry or data assimilation Experience in defining and enforcing software assurance standards and working practices We encourage candidates to apply even if they do not meet every listed requirement. ECMWF supports skill development and provides a collaborative environment where team members can grow into their roles. Inclusive Environment At ECMWF, we consider an inclusive environment as key for our success. We are dedicated to ensuring a workplace that embraces diversity and provides equal opportunities for all, without distinction as to race, gender, age, marital status, social status, disability, sexual orientation, religion, personality, ethnicity and culture. We value the benefits derived from a diverse workforce and are committed to having staff that reflect the diversity of the countries that are part of our community, in an environment that nurtures equality and inclusion.

Job Description We are looking for a Senior Machine Learning Engineer, with expertise in deep learning, to join our cross-functional Outfits Discovery team. In role, you will a senior IC who will be productionising machine learning systems across that help our customers discover and shop complete outfits that resonate with both their personal style and current fashion trends. Our mission is to elevate the fashion experience and ship with high scale ML capabilities. What you'll be doing: You will be part of an agile, cross-functional team building and improving our causal algorithms for the pricingand customer targeting space. You will be working alongside scientists in driving the implementation and deployment of at-scale solutions for our hundreds of millions of customers/products, creating measurable impact across the business. You will be deploying batch and online machine learning models at high scale. You will be continually developing and improving our code and technology, taking an active role in the conception of brand-new features. You will be mentoring and coaching junior members of the team, supporting their technical progress. You will contribute to the team's technical direction, establish ML standards, and drive quality across ASOS's ML community, while sharing expertise gained from theteam. Qualifications About You Experience applying machine learning in production settings, with exposure to deep learning techniques and their practical use Experience working with deep learning and distributed computing frameworks to support large scale models Familiarity with training models across multiple GPUs using distributed or parallel approaches, or a strong interest in developing this expertise A solid understanding of software development lifecycles and engineering practices, including data pipelines, CI/CD, containerisation and observability, with experience or interest in MLOps tooling Comfortable supporting others through technical guidance, mentoring or knowledge sharing, and contributing to wider engineering initiatives across ASOS Additional Information BeneFITS' Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role

Purpose of the Role To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure. Accountabilities Build and maintain data architecture pipelines that enable the transfer and processing of durable, complete, and consistent data. Design and implement data warehouses and data lakes that manage appropriate data volumes and velocity while adhering to required security measures. Develop processing and analysis algorithms fit for the intended data complexity and volumes. Collaborate with data scientists to build and deploy machine learning models. Expectations Advise and influence decision making; contribute to policy development; take responsibility for operational effectiveness. Collaborate closely with other functions and business divisions. Lead a team performing complex tasks, delivering work that impacts the whole business function. Set objectives and coach employees toward those objectives; appraise performance and determine reward outcomes. If having leadership responsibilities: demonstrate the four LEAD behaviours: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. If an individual contributor: lead collaborative assignments, guide team members, identify need for specialist inclusion, identify new directions and projects, consult on complex issues, mitigate risk, develop new policies, strengthen controls. Engage in complex analysis of data from multiple sources; communicate complex information; influence stakeholders to achieve outcomes. Demonstrate Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship and the Barclays Mindset of Empower, Challenge, and Drive. Job Description As a Data Developer, you will help improve process automation for a large-scale programme of loan securitisation. The role requires a good understanding of financial concepts and critical thinking. You will contribute to coding, system design, database design, documentation, and testing of features. You will find answers through documentation, code analysis, data analysis, and discussion with non-technical users. Day-to-Day Activities Discuss JIRA details with the technical and/or product lead. Commit code and unit tests. Write and execute system test plans and collate test data for review with a business user. Respond to queries from business users on the features you support and propose solutions to emerging issues. Required Experience and Skills Experience with T SQL Relational database design Data analysis Highly Valued Skills C# ETL Test planning Business analysis Finance knowledge Assessment Criteria Assessment may include key critical skills for success: risk and controls, change and transformation, business acumen, strategic thinking, digital and technology, along with job-specific technical skills. Location This role will be based in Glasgow.