40 jobs found

Principal AI Engineer (London) CBRE is building the future of AI driven data governance and analytics at enterprise scale. We're looking for a Principal AI Engineer to lead the charge - someone who can architect solutions, ship code, and use AI to move fast. This is a new, high impact individual contributor role reporting directly to the Senior Director of Data Governance and Engineering. You'll have a clear path to building and leading a team as we scale - embedded in a 20 person governance and engineering team, working at the intersection of AI/ML, data quality, and master data management. Why This Role Matters at CBRE AI is not a future capability at CBRE - it's the next phase of how we operate at scale. Our data estate spans commercial real estate transactions, property assets, and client relationships across the globe, and the volume and complexity of that data demands intelligence, not just automation. This Principal Engineer will be the first to architect and ship AI native solutions across our governance and MDM programs - defining how LLMs, agents, and ML models become embedded in how CBRE manages and trusts its data. Your First Mission (Months 1-6) Build a proof of concept using LLMs to automate data stewardship in our Reltio MDM platform - specifically, AI driven entity matching and merging. Prove that LLMs can make our data cleaner, faster, and smarter. From there, you'll help shape how CBRE adopts AI across data governance, analytics, and beyond - moving from proof of concept to production, and from one use case to many. What you will be doing: AI/ML Solution Architecture Architect and implement AI/ML solutions that drive data quality, governance, and analytics at scale across CBRE's enterprise data estate. Integrate LLMs via our internal Ellis AI platform into data workflows - entity matching, classification, quality scoring, and anomaly detection. Design agent frameworks and RAG pipelines that connect CBRE's proprietary data assets to LLM capabilities in a governed, production ready way. Evaluate emerging AI capabilities and translate them into prioritised, implementable solutions aligned to CBRE's governance and data strategy. Platform Engineering & Delivery Build production systems using Python, AWS, Snowflake, and Reltio APIs - you architect and you ship. Use AI to write code - we expect you to move fast with modern AI assisted development tooling and set the standard for the team. Embed AI capabilities into existing data pipelines and governance workflows, ensuring solutions are scalable, observable, and maintainable in production. Collaboration & Stakeholder Engagement Collaborate cross functionally with data engineers, governance teams, DQ engineers, and business stakeholders to identify and prioritise AI use cases. Partner with the Collibra and SODA engineering leads to identify where AI can accelerate metadata enrichment, DQ automation, and stewardship workflows. Evangelise AI adoption across the data team - teach, mentor, and influence how CBRE thinks about AI and data at every level of the organization. What You Bring Must Haves Experience building production data and engineering systems with demonstrable delivery at enterprise scale. Deep hands on experience with LLMs - not just using APIs, but architecting solutions: prompting strategies, RAG, fine tuning, and agent frameworks. Expert level Python and modern ML/AI frameworks. AWS experience - you know how to build, deploy, and scale on cloud infrastructure. Track record of shipping AI products that solve real business problems - not just prototypes. Architect + implementer mindset - you design elegant systems and roll up your sleeves to build them. Nice to Haves Experience with Master Data Management (MDM) or Reltio specifically. Snowflake expertise - data modelling, Snowpark, or Cortex ML. Prior work in commercial real estate or large enterprise data environments. Familiarity with Collibra or SODA - understanding how AI augments governance and DQ platforms. Our Stack AI Platform - internal LLM platform with OpenAI, Gemini, and more, Claude Cloud - AWS Data Warehouse - Snowflake MDM - Reltio Data Governance - Collibra DQ Platform - SODA Integration - SnapLogic Languages - Python (primary), SQL Applicant AI Use Disclosure We value human interaction to understand each candidate's unique experience, skills and aspirations. We do not use artificial intelligence (AI) tools to make hiring decisions, and we ask that candidates disclose any use of AI in the application and interview process. We welcome all applicants.

Job Overview As a Principal Solution Engineer at Salesforce, you will serve as the lead architect for the "Agentic Enterprise" in the Consumer Goods sector. You will help customers unify humans and AI agents to drive profitable growth by designing custom solutions and collaborating with cross functional teams. Responsibilities Coordinate and lead the entire solution cycle through close collaboration with other teams. Understand the customer's needs and establish Salesforce's product as the best solution that solves unique challenges. Convey a deep understanding of the client's industry and technology as it pertains to Salesforce's solutions for Consumer Goods. Develop and deliver innovative custom solutions, build and present customized demos of Salesforce products including solution concepts to key decision makers to address their business issues and needs while showing business value. Participate in all appropriate product, sales, and procedural training and certifications to acquire and maintain the knowledge vital to be effective in the position. Attain quarterly and annual objectives assigned by management. Respond efficiently to RFPs. Lead the technical side of the sales cycle. Have a strong curiosity about growing your career and participating in our internal training programs and mentorship initiatives. Design and prototype agentic workflows using Agentforce to solve complex business challenges. Identify high impact opportunities for autonomous agent deployment in areas such as telesales, visit management, proactive maintenance, and trade promotion management. Guide clients on the strategic shift from legacy CRM workflows to an agentic data platform where AI drives actionable insights. Required Qualifications 10+ years of solution engineering, consultancy, delivery, or training success for an enterprise software solution organisation. Deep expertise in Agentforce for Consumer Goods, including autonomous AI design and the development of human agent collaborative strategies. Experience selling into customers across the UK in the Consumer Goods and Retail sector. Salesforce or other certifications related to artificial intelligence, specifically generative AI and LLM concepts. Experience implementing digital transformation strategies, enterprise consulting, and delivering increased success to customers. Proven oral, written, presentation, and interpersonal communication and relationship skills. Proven time management skills in a dynamic team environment. Ability to work as part of a team to tackle problems in dynamic, energising environments. Inquisitive, practical, and passionate about technology and sharing knowledge. Love to be the first to know something and to understand why and how things happen. Good at searching out information and experimenting, love to concentrate on a particular topic, and tackle puzzles. Good at explaining ideas and finding ways to keep people's attention. Willing and able to travel occasionally. Experience will be evaluated based on alignment to the core competencies for the role (e.g., extracurricular leadership roles, military experience, volunteer work, insurance industry and/or financial services experience). Relevant Salesforce certifications (Administrator, Service Cloud, Experience Cloud) and consulting experience are strongly recommended. Computer studies degree or equivalent relevant experience required. Benefits 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. Equal Opportunity Employer 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. We're Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way. And, we empower you to be a Trailblazer, too - driving your performance and career growth, charting new paths, and improving the state of the world. If you believe in business as the greatest platform for change and in companies doing well and doing good - you've come to the right place.

Lead Solution Engineer - Consumer GoodsApplyremote type: Office - Flexiblelocations: United Kingdom - Londontime type: Full timeposted on: Posted Todayjob requisition id: JR345559 To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategorySalesJob Details 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.Do you want to be part of an outstanding team that is experiencing tremendous success in selling to the UKI Consumer Goods Sector? Do you have deep experience in complex transformation projects? Come join us at the Salesforce Solution Engineering team! As a Principal Solution Engineer, you will be a lead architect of the "Agentic Enterprise," helping our customers unify humans and AI agents to drive profitable growth through Agentforce for Consumer Goods. Through collaboration with the customer, the Products team, and Professional Services, the Solutions Engineers develop thoughtful solutions that help our customers connect with their customers in new ways. This unique perspective creates an opportunity for the SE to interact with the entire customer lifecycle. If you enjoy a fast-paced environment full of exciting challenges and opportunities to build compelling Solutions then the Solution Engineering Team is the department for you. The SE world is a dynamic, constantly evolving environment where expertise in design, business consulting and technology is used every day to drive innovation. The Solution Engineer must have a strong desire to demonstrate their technical and/or sales skills, including the ability to solicit business requirements, develop a technical sales strategy, configure and successfully demonstrate the solutions that address these requirements and provide business value. As an Account Solution Engineer, also known as a "Presales Consultant," "Sales Consultant", "Pre -Sales Engineer" , "Sales Engineer" or "SE", you'll be a key player in the sales cycle, delivering thought leadership and owning solutions to enhance our customers' experience. You'll collaborate with colleagues, support our sales team, and translate business objectives into compelling recommendations. With your technical and sales skills, you'll present our product offerings, address objections, and inspire confidence in our technology infrastructure. The Account Solution Engineer will act as a trusted advisor to our customers while aiding the customer's transformational journey. Responsibilities: Coordinate and lead the entire solution cycle through close collaboration with other teams. Understand the customer's needs, and establish Salesforce's product as the best solution that solves unique challenges. Convey a deep understanding of the client's industry and technology as it pertains to Salesforce's solutions for Consumer Goods. Develop and deliver innovative custom solutions, build and present customized demos of Salesforce products including solution concepts to key decision-makers to address their business issues and needs showing business value. Participate in all appropriate product, sales, and procedural training and certifications to acquire and maintain the knowledge vital to be effective in the position. Attain quarterly and annual objectives assigned by management. Respond efficiently to RFPs. Lead the technical side of the sales cycle. Have a strong curiosity about growing your career and participating in our internal training programs and mentorship initiatives. Design and prototype agentic workflows using Agentforce to solve complex business challenges. Identify high-impact opportunities for autonomous agent deployment in areas such as Telesales, Visit Management, Proactive Maintenance, and Trade Promotion Management. Guide clients on the strategic shift from legacy CRM workflows to an Agentic data platform where AI drives actionable insights.Required Qualifications: 10+ years of solution engineering, consultancy, delivery, or training success for an enterprise software solution organisation. Deep expertise in Agentforce for Consumer Goods, including autonomous AI design and the development of human-agent collaborative strategies. Experiences of selling into customers across the UK in the Consumer Goods and Retail sector Salesforce, or other, certifications related to Artificial Intelligence, specifically generative AI and LLM concepts Experience implementing Digital Transformation strategies, enterprise consulting and delivering increased success to their customers. Proven oral, written, presentation, and interpersonal communication and relationship skills. Proven time management skills in a dynamic team environment. Ability to work as part of a team to tackle problems in dynamic, energising environments. Inquisitive, practical, and passionate about technology and sharing knowledge. Loves to be the first to know something and to understand why and how things happen. Good at searching out information and experimenting, love to concentrate on a particular topic, and tackle puzzles. Good at explaining ideas and finding ways to keep people's attention. Willing and able to travel occasionally. Experience will be evaluated based on alignment to the core competencies for the role (e.g. extracurricular leadership roles, military experience, volunteer work, insurance industry and/or financial services experience, etc.). Relevant Salesforce certifications (Administrator, Service Cloud, Experience Cloud) and consulting experience are strongly recommended Computer studies Degree or equivalent relevant experience required. Experience will be evaluated based on the core proficiencies for the role (e.g. extracurricular leadership roles, military experience, volunteer roles, work experience, etc.Unleash Your PotentialWhen 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.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request 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 use of AI tools and opt out options.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.Posting StatementSalesforce 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.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. At CI&T, we imagine, design, and build brands and digital experiences for top clients in the financial services, consumer goods, e-commerce, and technology industries. Our philosophy is simple: quality work paves the way for trusted relationships. We are a diverse mix of professionals who are both thinkers and doers, always ready to roll up our sleeves to deliver powerful work. We also support a happy balance between work and personal life, and we're committed to building the most impactful team in the industry. Position Overview Reporting to our regional CTO, the principal AWS architect will support the rapid growth of CI&T's AWS business by providing excellent technical leadership across some of our major client opportunities, while also contributing to the leadership and evolution of our EMEA AWS practice and supporting our rapid growth of AWS partner revenue. Our partnership with AWS AWS Generative AI Partner Innovation Alliance member, one of only 22 firms worldwide Partner of the year LATAM 2023, sustainability partner of the year LATAM 2024 Migration competency + advanced consulting partner Part of the AWS ProServe collective Main Responsibilities Shape and direct major AWS client engagements across EMEA, ranging from region level cloud migrations to AI innovation programmes Support CI&T account teams across EMEA to develop our AWS business, facing off to client technology leaders and executives Engage directly with AWS account teams and partner solutions architects to collaborate on customer projects and opportunities Help shape and rapidly grow our regional AWS services practice Develop your eminence by joining our regional CTO team at external conferences and AWS speaking engagements Mentor and develop upcoming AWS technical leaders and specialists Learn and contribute to development of our repeatable AWS solution and service offerings Join our regional CTO team to share knowledge and co-ordinate across our EMEA client accounts Develop your eminence at external conferences and speaking engagements Mandatory Skills AWS CSA Pro with at least 12 months onward validity AWS Certified AI Practitioner or equivalent knowledge and experience Excellent client acumen, consultancy skills, written and spoken English Proven ability to shape and direct client workshops on AWS technical or strategy topics, leadership and governance forums At least 3 years experience in senior architecture roles with decision making responsibility At least 6 months experience as a primary technical lead and advisor at client account level, or business unit level as a permanent member of staff Working knowledge of AWS MAP and other common AWS partner funding mechanisms Experience assembling estimates with AWS pricing calculator Proven track record hiring and mentoring upcoming AWS technical leaders Willingness to travel occasionally to client locations, CI&T and AWS offices, and AWS events across the UK and EMEA Nice to Have Skills Further professional level or specialty AWS certifications Fluency in German, Italian, French, Spanish, Portuguese or Arabic Experience with Databricks or Snowflake Public speaking or thought leadership in AI/engineering/architecture forums. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

We are tech transformation specialists, uniting human expertise with AI to create scalable tech solutions. With over 8,000 CI&Ters around the world, we've built partnerships with more than 1,000 clients during our 30 years of history. Artificial Intelligence is our reality. At CI&T, we imagine, design, and build brands and digital experiences for top clients in the financial services, consumer goods, e-commerce, and technology industries. Our philosophy is simple: quality work paves the way for trusted relationships. We are a diverse mix of professionals who are both thinkers and doers, always ready to roll up our sleeves to deliver powerful work. We also support a happy balance between work and personal life, and we're committed to building the most impactful team in the industry. Position Overview Reporting to our regional CTO, the principal AWS architect will support the rapid growth of CI&T's AWS business by providing excellent technical leadership across some of our major client opportunities, while also contributing to the leadership and evolution of our EMEA AWS practice and supporting our rapid growth of AWS partner revenue. Our partnership with AWS: AWS Generative AI Partner Innovation Alliance member, one of only 22 firms worldwide Partner of the year LATAM 2023, sustainability partner of the year LATAM 2024 Migration competency + advanced consulting partner Part of the AWS ProServe collective Main Responsibilities shape and direct major AWS client engagements across EMEA, ranging from region level cloud migrations to AI innovation programmes support CI&T account teams across EMEA to develop our AWS business, facing off to client technology leaders and executives engage directly with AWS account teams and partner solutions architects to collaborate on customer projects and opportunities help shape and rapidly grow our regional AWS services practice develop your eminence by joining our regional CTO team at external conferences and AWS speaking engagements mentor and develop upcoming AWS technical leaders and specialists learn and contribute to development of our repeatable AWS solution and service offerings join our regional regional CTO team to share knowledge and co-ordinate across our EMEA client accounts develop your eminence at external conferences and speaking engagements Mandatory Skills AWS CSA Pro with at least 12 months onward validity AWS Certified AI Practitioner or equivalent knowledge and experience Excellent client acumen, consultancy skills, written and spoken English Proven ability to shape and direct client workshops on AWS technical or strategy topics, leadership and governance forums At least 3 years experience in senior architecture roles with decision making responsibility At least 6 months experience as a primary technical lead and advisor at client account level, or business unit level as a permanent member of staff Working knowledge of AWS MAP and other common AWS partner funding mechanisms Experience assembling estimates with AWS pricing calculator Proven track record hiring and mentoring upcoming AWS technical leaders Willingness to travel occasionally to client locations, CI&T and AWS offices, and AWS events across the UK and EMEA Nice to Have Skills Further professional level or specialty AWS certifications Fluency in German, Italian, French, Spanish, Portuguese or Arabic Experience with Databricks or Snowflake Public speaking or thought leadership in AI/engineering/architecture forums. Collaboration is our superpower, diversity unites us, and excellence is our standard. We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.

NLP PEOPLE is seeking an experienced Engineer Principal, Artificial Intelligence / Machine Learning to shape the future of AI within the fintech sector. In this role, you will lead a team and develop advanced machine learning solutions. A Bachelor's degree in Computer Science and 8+ years of AI/ML experience are required. The position offers a diverse atmosphere, professional development, and opportunities to drive innovation in the financial industry.

Position Type: Full time Type Of Hire: Experienced (relevant combo of work and education) Education Desired: Associate's Degree At FIS, our technology and our people are moving forward. We advance the way the world pays, banks and invests. We believe in building inclusive, diverse teams. Together, we innovate to help our colleagues, clients and communities succeed. If you're ready to grow your career and make an impact in fintech, we have one question: Are you FIS? About the role Are you ready to shape the future of AI within one of the world's most influential fintech companies? At FIS, we're hiring an experienced Engineer Principal, Artificial Intelligence / Machine Learning to define, lead, and execute our enterprise wide AI/ML vision. In this strategic and highly visible role, you will architect and drive cutting edge AI systems that power transformation across our global commercial organization. You'll lead the design and development of advanced machine learning algorithms, intelligent agents, and enterprise scale AI platforms-solving complex challenges unique to fintech. You will work closely with cross functional teams-including product managers, software engineers, data scientists, and business leaders-to build and embed AI solutions into FIS products, tools, and processes. You'll also shape how the entire commercial organization interacts with AI through modern architectures and next generation agentic systems. What you will be doing Providing strategic leadership and owning the AI/ML roadmap for the commercial organization. Leading and growing a high calibre team of Data Scientists and AI/ML engineers, fostering a culture of innovation, collaboration, and continuous learning. Designing, building, and deploying AI Agents at scale-from automated lead generation agents to intelligent pricing and decisioning systems. Developing advanced ML models and agentic systems to address complex challenges across fintech, including predictive analytics, optimization, personalization, and intelligent automation. Owning the strategy and architecture for how the entire commercial organization interacts with AI, including model governance, tooling, infrastructure, and integration frameworks. Collaborating with stakeholders across Sales, Product, Engineering, and Revenue Operations to embed AI capabilities into workflows, products, and commercial strategies. Driving innovation in Generative AI, Agentic AI, deep learning, and large scale ML deployment. Championing best practice in MLOps, cloud native development (Azure preferred), and scalable production deployment. Presenting AI program outcomes, strategic recommendations, and technical guidance to senior leadership and executive audiences. What you will need Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or related field (required). Master's or PhD in AI/ML, Computer Science, or related discipline (preferred). 8+ years of experience in AI/ML engineering, applied machine learning, or advanced analytics. Demonstrated experience leading technical AI teams and delivering enterprise scale AI/ML solutions. Deep expertise in machine learning algorithms, neural networks, large scale architectures, and modern AI frameworks. Hands on experience with Generative AI and Agentic AI (LLMs, foundation models, autonomous agents, large scale inference). Strong proficiency in Python and SQL; experience building production grade ML systems. Experience with Azure or another major cloud platform; familiarity with MLOps pipelines and deployment automation. Excellent communication skills and the ability to simplify complex technical concepts for business audiences. Ability to thrive in a fast paced, high impact environment with multiple stakeholders. Curiosity, proactive problem solving mindset, and passion for innovation. What we offer you Opportunities to innovate in fintech and shape the future of enterprise AI. Inclusive and diverse team atmosphere. Professional and personal development. Resources to contribute to your community. Competitive salary and benefits. FIS Global

Responsibilities Lead the Machine Learning Engineering team in the safe and effective operation of AI/ML products and services in production, maximising the value and adoption of data driven decision making across the business. Own service performance and continuous improvement, ensuring robust IT Service Management, regulatory compliance, model risk management, ethical AI standards and ongoing enhancements to user experience, efficiency, scalability and cost of operation. Define and deliver the AI/ML Ops platform strategy and roadmap, implementing modern engineering practices and leading edge techniques to enable rapid, scalable and cost effective delivery of machine learning services. Build and lead senior stakeholder relationships across directorates, working with Directors and business leaders to manage service performance, prioritise demand, shape delivery backlogs and influence future digital strategy both internally and externally. Provide effective operational leadership of the team, ensuring adherence to governance and compliance frameworks including budget management, forecasting, business planning, delivery controls, data governance, audit, communications and people policies. Work closely with Digital Services teams and senior stakeholders to define and deliver machine learning strategies that maximise adoption and unlock value from the organisation's data assets. Qualifications Strong stakeholder management and influencing skills, capable of building credible relationships at senior levels, navigating complex environments and securing positive outcomes across multiple priorities. Proven experience leading data innovation and systems integration, including the development and improvement of AI/ML products, platforms or digital services that deliver measurable user and business value. Strategic mindset with the ability to turn insight into action, using evidence, data and organisational priorities to shape plans, inform decisions and drive successful outcomes. Excellent understanding of governance and risk management, with experience applying controls and standards across areas such as model risk, data governance, security, audit and responsible or ethical AI. Commercial and operational leadership experience, including managing budgets, supplier performance, financial governance and delivering cost effective services or large scale programmes that achieve value for money. Senior level experience (5+ years) in a similar role. Working Arrangement This is a hybrid role based at any National Highways office location, with an expectation to attend the office for two days per week, including weekly travel to collaborate with the team. Skills Artificial Intelligence (AI) Machine Learning Budget Management Business Plan Business Support Data Management Data Modeling Decision Support Emerging Technology Information/Data Security (InfoSec) Intelligent Transportation Information Technology Leadership Operational Management Performance Management Product Management Regulatory Compliance Risk Management Service Delivery Strategic Planning Technical/Engineering Design Team Lead/Manager User Interface/Experience (UI/UX) Vendor/Supplier Evaluation Tagged as Industry, Machine Learning, NLP, United Kingdom

J.P. Morgan Asset & Wealth Management is a global leader in investment and wealth management, serving institutions, high-net-worth individuals, and retail investors. The division offers investment management across all major asset classes-including equities, fixed income, alternatives, multi-asset, and money market funds-and provides retirement products, brokerage, and banking services such as trusts, estates, loans, mortgages, and deposits. J.P. Morgan Private Bank advises the world's wealthiest families, delivering tailored advice and solutions across investments, wealth planning, credit, and banking to help clients build, preserve, and manage their wealth. Our team of specialists works seamlessly to help clients achieve their financial goals and aspirations, earning consistent recognition from Euromoney and Global Finance Magazine as a leader in global private banking. As part of the International Private Bank (IPB) Digital & Data Transformation (DDT) organization, the IPB Advisor Experience team is focused on understanding advisor workflows and designing end-to-end journeys that enhance both advisor and client experiences. This is an exciting time to drive strategic change, accelerate business growth, and achieve efficiency goals globally. As a Principal Software Engineer in Asset & Wealth Management, you will provide deep technical expertise and engineering leadership as part of an agile team. You will design, build, and deliver secure, stable, and scalable technology products that support one or more of our portfolios. You will collaborate across the organization to promote best-in-class outcomes, drive the adoption of AI technologies, and influence leaders and stakeholders. Your work will help us deliver trusted solutions that support our clients and business objectives. Job Responsibilities Create complex and scalable coding frameworks using industry-standard software design principles Develop secure, high-quality production code and review and debug code written by others Advise cross-functional teams on technology matters within your domain of expertise Drive the adoption of AI technologies to enhance software capabilities and user experience Serve as the go-to subject matter expert for your function Contribute to the development of technical methods in specialized fields aligned with the latest product development methodologies Create durable, reusable software frameworks leveraged across teams and functions Influence leaders and senior stakeholders across business, product, and technology teams Champion a culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts with proven applied experience Hands on experience delivering system design, application development, testing, and operational stability Extensive experience in enterprise programming with a strong understanding of technology and development principles Proficiency in modern cloud platforms, especially AWS, with experience designing and managing scalable cloud-based solutions Experience integrating AI and machine learning technologies into software solutions Proven skills in database design, optimization, and maintenance, ensuring data integrity and performance Demonstrated experience leading teams using agile methodologies such as Scrum or Kanban Advanced knowledge of software application development and technical processes in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Experience applying expertise and new methods to solve complex technology problems Ability to present and communicate effectively with senior leaders and executives Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Capabilities, and Skills Prior experience in the financial industry with an understanding of regulatory requirements and industry-specific challenges Ability to lead and collaborate with cross functional teams, including product management, design, and quality assurance Strong analytical and problem solving skills with a track record of developing innovative solutions to complex technical challenges We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Business Unit Commercial & Investment Bank Posting Date 04/16/2026, 12:02 PM Locations Chaseside - Dorset Building, Bournemouth, Dorset, BH7 7DA, GB Job Schedule Full time Job Description We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorganChase within the Commercial & Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Champion observability best practices across application portfolio: Implement standardized observability frameworks in multiple applications, partnering with core developers to write instrumentation code, establish testing protocols, and manage release processes. Diagnose and resolve complex application performance issues: Troubleshoot and remediate JVM-related problems including memory leaks, garbage collection inefficiencies, thread pool exhaustion, and concurrency issues using profiling tools and heap/thread dump analysis to ensure application stability and optimal resource utilization. Identify and remediate resiliency gaps through defensive coding practices: Analyze codebases to detect vulnerabilities and implement defensive patterns including error handling, input validation, graceful degradation, and fault isolation to build robust, failure resistant applications. Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture Contributes to software engineering communities of practice and events that explore new and emerging technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Bachelor's Degree in Computer Science, Cybersecurity, Data Science, or related disciplines Experience in system engineering, software development or an SRE related field Understanding of observability principals and how they are integrated into software applications. Hands on practical experience in system design, application development, testing, and operational stability Exposure to SRE / Observability toolsets such as Grafana, Prometheus & Dynatrace Familiarity with Observability concepts (logs, metrics, traces) and exposure to OpenTelemetry Proficient in coding in one or more languages Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Preferred qualifications, capabilities, and skills Familiarity with modern front-end technologies Exposure to cloud technologies About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first class business in a first class way approach to serving clients drives everything we do. We strive to build trusted, long term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit ourFAQs for more information about requesting an accommodation. About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins - big and small. Supported by operating principles of being strategy-led, values -based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! Role Summary We're seeking a Principal Machine Learning Engineer who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. You'll build production-ready AI features that empower business users to leverage the power of GenAI within their planning workflows, requiring both deep ML knowledge and strong software engineering skills. Your Impact Lead the architecture, design, and deployment of scalable Generative AI and Machine learning systems into production environments. Develop end-to-end GenAI features including backend API services, model integration, model monitoring, evaluations and deployments Integrate and optimise LLMs for specific use cases in business planning, including prompt engineering, RAG implementation Build conversational interfaces and agentic workflows that make complex planning tasks accessible through natural language Implement evaluation frameworks to measure and improve GenAI feature quality, including accuracy, latency, and user satisfaction metrics Design and develop APIs that expose AI capabilities to Anaplan's platform and third-party integrations Optimise model inference pipelines for performance, cost, and scalability in production environments Implement monitoring, logging, and observability for GenAI systems to track usage, errors, and model behaviour Collaborate with data scientists to productionise ML models and forecasting algorithms Your Skills Extensive hands-on professional experience in the field of Artificial Intelligence, Machine Learning, or related engineering domains. End-to-end exposure in model lifecycle development, including extensive experience training and deploying ML models in production environments. Deep knowledge of LLM APIs, prompt engineering, and conversational AI patterns. Experience in fine-tuning LLMs for domain-specific enterprise applications. Strong expertise in MLOps and LLMOps, ensuring scalable, reliable, and monitorable model deployments. Experience with agentic frameworks and autonomous agent architectures. Proficiency in Python and modern software development practices (testing, code review, CI/CD). Proven track record of delivering complex technical projects on time with high quality Advanced degree (Master's or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a strongly related quantitative field Hands-on experience with cloud-native ML infrastructure platforms Knowledge of vector databases (Pinecone, Weaviate, Qdrant) and embedding models Experience with model serving frameworks (vLLM, TensorRT, Ray) Experience with A/B testing and experimentation frameworks for AI features Contributions to open-source ML projects or research publications Experience with model observability tools (LangSmith, W&B;, MLflow) DEIB Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to before taking any further action in relation to the correspondence.

J.P. Morgan Asset & Wealth Management is a global leader in investment and wealth management, serving institutions, high-net-worth individuals, and retail investors. The division offers investment management across all major asset classes-including equities, fixed income, alternatives, multi-asset, and money market funds-and provides retirement products, brokerage, and banking services such as trusts, estates, loans, mortgages, and deposits. J.P. Morgan Private Bank advises the world's wealthiest families, delivering tailored advice and solutions across investments, wealth planning, credit, and banking to help clients build, preserve, and manage their wealth. Our team of specialists works seamlessly to help clients achieve their financial goals and aspirations, earning consistent recognition from Euromoney and Global Finance Magazine as a leader in global private banking. As part of the International Private Bank (IPB) Digital & Data Transformation (DDT) organization, the IPB Advisor Experience team is focused on understanding advisor workflows and designing end-to-end journeys that enhance both advisor and client experiences. This is an exciting time to drive strategic change, accelerate business growth, and achieve efficiency goals globally. As a Principal Software Engineer in Asset & Wealth Management, you will provide deep technical expertise and engineering leadership as part of an agile team. You will design, build, and deliver secure, stable, and scalable technology products that support one or more of our portfolios. You will collaborate across the organization to promote best-in-class outcomes, drive the adoption of AI technologies, and influence leaders and stakeholders. Your work will help us deliver trusted solutions that support our clients and business objectives. Job Responsibilities Create complex and scalable coding frameworks using industry-standard software design principles Develop secure, high-quality production code and review and debug code written by others Advise cross-functional teams on technology matters within your domain of expertise Drive the adoption of AI technologies to enhance software capabilities and user experience Serve as the go-to subject matter expert for your function Contribute to the development of technical methods in specialized fields aligned with the latest product development methodologies Create durable, reusable software frameworks leveraged across teams and functions Influence leaders and senior stakeholders across business, product, and technology teams Champion a culture of diversity, opportunity, inclusion, and respect Required Qualifications, Capabilities, and Skills Formal training or certification in software engineering concepts with proven applied experience Hands-on experience delivering system design, application development, testing, and operational stability Extensive experience in enterprise programming with a strong understanding of technology and development principles Proficiency in modern cloud platforms, especially AWS, with experience designing and managing scalable cloud-based solutions Experience integrating AI and machine learning technologies into software solutions Proven skills in database design, optimization, and maintenance, ensuring data integrity and performance Demonstrated experience leading teams using agile methodologies such as Scrum or Kanban Advanced knowledge of software application development and technical processes in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile) Experience applying expertise and new methods to solve complex technology problems Ability to present and communicate effectively with senior leaders and executives Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred Qualifications, Capabilities, and Skills Prior experience in the financial industry with an understanding of regulatory requirements and industry-specific challenges Ability to lead and collaborate with cross-functional teams, including product management, design, and quality assurance Strong analytical and problem-solving skills with a track record of developing innovative solutions to complex technical challenges

About the Role We're seeking a versatile Principal Data scientist who can work across the full stack of Anaplan AI applications, from model integration and prompt engineering to building intuitive user interfaces. In this role, you will have a direct impact on our industry leading platform by architecting and deploying cutting edge AI solutions that drive intelligent, automated, and forward looking decision making for our global customers. You will bridge the gap between traditional predictive algorithms and modern generative systems. Your Impact Advanced Modeling & Predictive Analytics: Lead the research, design, and implementation of advanced Machine Learning, Deep Learning, and Timeseries Forecasting models to solve complex enterprise business and planning challenges. Generative AI Architecture: Architect GenAI solutions, focusing on fine tuning proprietary and open source Large Language Models (LLMs) via Transformer architectures for specialised enterprise data tasks. Next Gen Interfaces: Design and integrate Conversational AI and autonomous Agentic AI workflows, creating intuitive experiences that can independently execute complex planning tasks. Production & Scale: Collaborate with Engineering, Product, and Design teams to transition AI models from early prototypes into robust, highly scalable production systems. Technical Leadership: Serve as a core subject matter expert, mentoring cross functional teams and driving a culture of technical excellence, rigorous testing, and continuous learning. Your Skills Extensive professional engineering experience across Artificial Intelligence, Machine Learning, or related domains. Deep technical understanding of Transformer architectures, prompt engineering, and conversational AI patterns, alongside practical experience with autonomous agent frameworks. Experience fine tuning LLMs (e.g., LoRA, QLoRA, RLHF) specifically for domain specific enterprise applications. Taken responsibility of models from concept to production, utilising strong MLOps and LLMOps practices to ensure scalable, reliable, and monitorable deployments. High proficiency in Python and modern software development practices, including rigorous testing, code reviews, and CI/CD pipelines. Strong hands on experience in traditional Machine Learning and deep learning techniques, specifically including Timeseries Forecasting algorithms. Background in Computer Science, Artificial Intelligence, Statistics, Data Science, or a related quantitative field. Experience working with scalable cloud infrastructure (AWS, GCP, or Azure) and MLOps tools for model training, monitoring, and deployment. Background in forecasting, planning, or analytics applications. Familiarity with Anaplan or similar enterprise planning platforms. Experience with A/B testing and experimentation frameworks for AI features. Contributions to open source ML projects or research publications. Our Commitment to Diversity, Equity, Inclusion, and Belonging (DEIB) We believe at Anaplan that diversity, equity, inclusion and belonging are central to our success. All applicants are considered equally; we welcome individuals of all genders, sexual orientations, religions, ethnicities, ages, neurodiversity, disabilities, citizenship, and other identities. We will provide reasonable accommodation to individuals with disabilities to participate in the application process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation.

Role Type: Hybrid working The Team The Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes. Our mission is to design and implement robust, intelligent, and scalable technologies that allow audit workflows to become more efficient, enhance audit quality, and generate actionable insights for auditors and clients. Through cutting edge tools, we aim to transform traditional audit practices into dynamic, forward thinking processes designed for today's complex business environment. Supported by KPMG's global network, our team drives this transformative journey. Focused on innovation, we engineer solutions that anticipate tomorrow's challenges and opportunities, ensuring audit services stay at the forefront of technology. The Role As a Principal AI Engineer, you will transform advanced AI concepts into production ready solutions within the Audit Technology team. You will lead a dedicated AI engineering squad, collaborate with data scientists, data engineers, software developers, cloud architects, and audit professionals to build and scale AI driven systems that improve audit quality, efficiency, and insight generation. From robust proof of concepts to enterprise grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, and Databricks to embed intelligence into critical audit workflows and products. Beyond technical leadership, you will shape team growth-mentoring engineers, championing best practices, and fostering a culture of collaboration, innovation, and continuous improvement. You will stay ahead of AI engineering trends, advocate modern development methodologies, and drive knowledge sharing across technology and audit domains. Responsibilities Leadership & Mentorship: Lead a high performing AI engineering team composed of software engineers and AI practitioners. Provide hands on technical direction, foster career growth, and cultivate a collaborative culture that emphasizes engineering excellence, innovation, and continuous improvement. Scalable AI Engineering: Drive the design, development, and deployment of production grade AI systems tailored to audit applications. Ensure solutions are scalable, reliable, and maintainable by applying strong software engineering principles, MLOps practices, and cloud native development. End to End AI Solution Delivery: Oversee the full lifecycle of AI product engineering-from architectural design and prototyping to CI/CD enabled deployment-using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain, and LangGraph. Champion automation, testing, and observability across pipelines. Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best practices that support version control, performance optimisation, and maintainability. Cross Disciplinary Collaboration: Partner closely with data scientists, product managers, platform engineers, and QA teams to align on technical requirements, delivery timelines, and integration plans. Ensure AI capabilities are well integrated within core audit platforms and services. AI Governance & Risk Management: Implement engineering controls to support responsible AI use, including model monitoring, explainability, security, and auditability. Contribute to operationalising AI governance frameworks to ensure regulatory and ethical compliance. Capability Building & Knowledge Sharing: Drive initiatives that enhance internal capabilities, empowering team members and the broader Audit Technology function with the skills and knowledge required to adopt and adapt AI innovations effectively. Requirements Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field-or equivalent professional experience. Strong knowledge of generative AI, machine learning, deep learning, natural language processing, and other relevant AI fields. Proven track record of designing, developing, and deploying AI systems in production environments. Proficient in Python and key ML libraries (e.g., PyTorch, PySpark, scikit learn, Hugging Face Transformers). Hands on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, and LangGraph. Proven experience with modern engineering practices, including Git, version control, unit testing, and containerisation. Familiarity with agile work methodologies and tools like Jira and Confluence. Exceptional leadership and communication skills, with the ability to convey complex technical concepts to diverse audiences. Advanced certifications in AI, machine learning, cloud computing, or data engineering are highly advantageous. Professional accounting qualification preferred, however not a requirement. Why Audit at KPMG? Audit is the largest of our UK practices. Some of the world's biggest companies rely on us to provide independent insight, challenge, and expertise, so the work we undertake affects investment decisions, inspires confidence in public sector expenditure, and supports economic growth. Today, more than ever in disruptive times, audit is a function needed by society, and in the future, we can capitalise and grow. As part of the Audit team, you'll help build the confidence and trust that business and society need to thrive. We want to lead the conversation shaping the profession's future. With the scale and variety of our audit engagements globally, we're well placed to create change. If you share our commitment to achieving excellence, working to the highest audit standards, naturally collaborate, value different perspectives, and relish the opportunity to develop and progress, KPMG could be the place where you can thrive.

About the Role We are looking for a passionate and collaborative software engineer with a talent for building scalable, reliable platforms. You thrive on engaging with scientific partners to solve complex challenges and are dedicated to engineering best practices. Responsibilities Build and enhance a modern, scalable ecosystem of applications and tools to capture, move, and prepare scientific data for analysis. Design and deliver complex, user-friendly data applications and pipelines that integrate diverse data sets across key scientific domains. Leverage standard patterns like microservices and event-driven architecture to improve our data workflows and application ecosystem. Champion technical excellence by ensuring our solutions are innovative, best-in-class, and seamlessly integrated. Integrate diverse data sets to power Artificial Intelligence (AI), machine learning (ML), and Natural Language Search capabilities. Collaborate directly with computational and research scientists to understand their challenges and translate them into effective technology solutions. Provide technical leadership on ongoing initiatives and identify new opportunities to build common, reusable solutions. Mentor junior developers, fostering their professional growth and upholding high engineering standards. Qualifications A Bachelor's or Master's degree in Computer Science or a similar technical field, or equivalent practical experience. Significant professional experience in full-stack software engineering, with strong skills in backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development. Deep experience with modern data engineering, including databases (SQL/NoSQL), data analytics (ETL/ELT), and APIs (REST, GraphQL). Proven experience developing and deploying applications on cloud-native architectures, preferably AWS. Outstanding communication and collaboration skills, with the ability to articulate technical concepts to diverse audiences. Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work. Disclaimer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. They do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment.