Science related jobs in United Kingdom

Make an impact in ways that matter. Join a business built on trusted brands, great people and teamwork, where care and fresh ideas help keep things moving. Here, your contribution helps serve our customers, support our operations and enable our teams to do their best work. You’ll be encouraged to bring your strengths, supported to grow, and welcomed into a team where we make a meaningful difference together. What You’ll Be Doing: During your Year in Industry, you’ll be: Supporting manufacturing and production teams on live projects Analyse processes and identity improvement opportunities Assist with quality, safety or efficiency initiatives Collaborate with teams across the site Present your work at the end of the programme This is a hands-on role – you’ll be out on the shop floor, not just behind a desk. What we are looking for You’ll be: Studying a degree in Manufacturing, Mechanical, Electrical, Food Science, or a related discipline. In your penultimate or final year of study. Curious about how things are made and passionate about operations. Comfortable in a fast-paced, practical environment. A strong communicator who thrives in a team setting. No previous industrial experience required – just enthusiasm and a willingness to learn Programme Details: Start date: August 2027 Duration- 12 months Locations- Wakefield, Sidcup, Edmonton Assessment Centre- December 2026, January 2027 (at site, location tbc) We are Coca-Cola Europacific Partners (CCEP), with 39,000 people serving 4 million customers across 31 markets. We combine the scale of a large multinational business with expert local knowledge of the customers and communities we serve, investing, employing, manufacturing and distributing locally. At CCEP, we welcome people from all backgrounds and value the experiences and perspectives they bring. We are committed to an inclusive workplace where everyone can be themselves, feel respected and thrive. This commitment is reflected in our recognition as a Top Employer by the Top Employers Institute and as a Disability Confident Leader. If you need any adjustments or support during the recruitment process, please let us know when you apply so we can support you to perform at your best. We recognise that some people may prefer not to participate in alcohol-related sales, interactions or promotions. If this applies to you, please speak with your Talent Acquisition contact, who can advise whether this role includes activities related to our alcohol portfolio. To find out more about life at CCEP and our culture, visit and our careers website at

Computer Science Teacher – Southwark | Immediate Start A high-performing secondary school in Southwark is recruiting a Computer Science Teacher for an immediate start. This is an 11–19 setting where computing forms part of a broad academic curriculum from Year 7, giving the successful teacher the chance to develop pupils’ knowledge from the foundations upwards. The school was graded Outstanding by Ofsted in 2024, with the same judgement awarded for quality of education, behaviour and attitudes, and leadership and management. The post is open to teachers across the Main and Upper Pay Scales, making it suitable for an ECT or an experienced practitioner looking for an established Inner London school. Professional development is taken seriously here rather than treated as an occasional inset-day exercise. Staff, including teachers at the beginning of their careers, benefit from ongoing training and work within a close-knit, reflective professional culture. Leaders place clear emphasis on developing classroom practice while ensuring teachers have the support needed to manage workload effectively. As a Computer Science Teacher, you will therefore join a setting where subject knowledge, teaching quality and longer-term career development receive sustained attention. Key highlights: Role: Computer Science Teacher – full-time teaching position Salary: Inner London MPS1–6 / UPS1–3, £41,729–£64,684 Location: Southwark, Inner London Ofsted: Outstanding overall, including Outstanding quality of education and behaviour Contract: Full-time position Start: Immediate start Curriculum: Computer Science taught within the school’s academic curriculum from Year 7 Development: Ongoing training within an established professional development structure What you'll be doing: Teach Computer Science through carefully sequenced lessons that build secure subject knowledge Plan engaging units covering programming, computational thinking, digital concepts and relevant curriculum content Assess pupil understanding accurately and use the results to identify misconceptions and shape subsequent teaching Develop students’ confidence in approaching algorithms, coding and complex problem-solving independently Collaborate with colleagues on curriculum planning, assessment and the continued development of computing provision Contribute to the wider academic life of the school through enrichment, intervention or subject-related activities Ideal candidate for this Southwark school: Hold UK QTS and demonstrate secure knowledge of Computer Science Bring Good or Outstanding classroom practice, evidenced through observations, placements or recent teaching experience Demonstrate the ability to explain technical concepts clearly to pupils with different starting points Show strong expectations for behaviour, academic effort and the quality of pupils’ work Welcome feedback and engage thoughtfully with coaching and professional development Offer either ECT-level potential or an experienced track record of securing pupil progress Why join this Southwark school? Benefit from an Outstanding-rated school where behaviour and attitudes were also judged Outstanding Work within an 11–19 environment supporting pupils throughout secondary education and sixth form Access professional development designed to strengthen subject expertise and classroom practice Join a reflective staff culture where teachers receive ongoing training rather than relying solely on one-off development sessions Build your career in a school where leaders give serious attention to staff workload and professional growth Shape computing knowledge from Year 7 within a curriculum that includes Computer Science as part of pupils’ broader academic education How to apply: Shortlisting is underway now for this immediate-start Computer Science Teacher vacancy in Southwark. Submit your application via this listing to be considered for interview

Director of Data & Analytics \n Shape an organisation-wide data strategy, lead transformation across governance, engineering, analytics and BI, and influence executive decisions. Social housing or local authority experience is highly desirable, alongside proven enterprise data leadership. \n This role is officially known as a Director of Data Analytics & BI \n If you’ve also worked in the following roles, we’d also like to hear from you: Director of Data & Business Intelligence, Director of Business Intelligence & Analytics, Director of Data, Head of Data & Analytics, Head of Data, Head of Business Intelligence, Head of Data Analytics, Head of Data Governance, Data Transformation Director \n Benefits include 30 days’ holiday plus bank holidays, car allowance, private medical insurance and up to 8% contributory pension. \n \n SALARY: Competitive + Benefits \n LOCATION: Hybrid / Ealing, West London (some office attendance required) \n JOB TYPE: Full-Time, Permanent \n WORKING HOURS: 35 hours per week, Monday to Friday \n \n JOB OVERVIEW \n A high-impact opportunity is available to shape enterprise data strategy, governance and insight. The Director of Data & Analytics will report to the CIO and influence Board-level decision-making, regulatory assurance and customer outcomes. \n The Director of Data & Analytics will lead governance, engineering, analytics and BI, building trusted data foundations while advancing AI, predictive insight and reusable data products. \n Working across technology and operational teams, the Director of Data & Analytics will strengthen data literacy, assurance and value from investment. \n \n DUTIES \n Your duties as the Director of Data & Analytics include: \n\n • Data Strategy and Alignment: Define and deliver the enterprise Data Strategy in line with organisational, regulatory and technology priorities\n, • Enterprise Data Operating Model: Establish a scalable model with clear ownership, accountability and federated or hub-and-spoke principles where appropriate\n, • Data Governance and Stewardship: Lead data governance, quality, standards, stewardship, definitions, lineage and controls across the organisation\n, • Trusted Data and Reporting: Ensure reporting and analytics use governed, auditable data products and a single version of the truth\n, • Data Platforms and Architecture: Oversee secure, resilient and scalable data platforms, pipelines and architecture\n, • COPE Data Products: Drive Create Once, Publish Everywhere principles so data products are reusable organisation-wide\n, • Advanced Analytics, AI and Data Science: Develop predictive analytics, AI and data science capabilities aligned with priorities and measurable value\n, • Data Risk and Regulatory Assurance: Own the data risk position and ensure regulatory reporting is supported by robust, auditable data\n, • Executive and Board Assurance: Provide assurance on data quality, governance and control effectiveness to Executive and Board-level stakeholders\n, • Team Leadership and Capability: Lead a multidisciplinary data function and build organisational data capability and literacy\n, • Stakeholder Partnership and Data Culture: Partner across operational and technology teams to embed standards and insight-led decision-making\n, • Budget and Value: Manage the Data & Analytics budget, ensuring value for money and measurable outcomes from data and technology investment\n\n \n CANDIDATE REQUIREMENTS \n ESSENTIAL \n\n • Degree in Data, Analytics, Technology or a related discipline, or equivalent professional experience\n, • Professional certifications in data management, governance or analytics\n, • Extensive experience leading enterprise data functions across governance, engineering, analytics and BI\n, • Proven track record defining and delivering data strategies and enterprise operating models\n, • Strong knowledge of modern data platforms, architectures, cloud technologies and analytics\n, • Deep understanding of data governance, regulatory compliance, assurance frameworks and risk management\n, • Experience delivering organisation-wide transformation through data, analytics and insight\n, • Proven ability to influence Executive teams, Boards and senior stakeholders\n, • Experience leading multidisciplinary teams across governance, engineering, analytics and BI\n, • Ability to balance strategic leadership with operational delivery and risk management\n\n DESIRABLE \n\n • Social housing or local authority experience, or a background in a similar sector, is highly desirable\n, • Executive leadership or management qualification\n\n \n BENEFITS \n\n • 30 days’ holiday plus bank holidays\n, • Car allowance\n, • Private Medical Insurance\n, • Up to 8% contributory pension\n, • Flexible working\n\n \n This role requires a Basic DBS Check \n \n The organisation recognises that some people will only apply for a role if they meet 100% of role requirements. If this sounds like you, they’d still encourage you to apply should you not feel you meet the criteria 100%. \n \n APPLY TODAY… \n By submitting your job application to us you are hereby giving us your express consent to submit your details to our Client for this purpose. \n JOB REF: AWDO-P15184 \n Full-Time, Permanent Jobs, Careers and Vacancies. Find a new job and work in Ealing, West London. Multi-Job Board Advertising and CV Sourcing Recruitment Services provided by AWD online. \n AWD online specialise in sourcing candidates and advertising vacancies on multiple job boards for companies on a non-commission basis. AWD online operates as an employment agency.

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. \n You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. \n Responsibilities \n\n • Deliver data science projects, from problem definition through to actionable insights and presentation of results\n, • Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes\n, • Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats\n, • Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders\n, • Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making\n, • Support pre-sales and client engagement, helping to demonstrate the value of data insight\n, • Follow best practices in data science, reproducible research, and ethical AI\n, • Collaborate cross-functionally to enhance the company’s products and marketing data solutions\n\n What Success Looks Like in the Role \n\n • Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes\n, • Building trust and credibility with clients as an analytical consultant\n, • Regular iteration on our machine learning methodologies, tools, and frameworks\n, • Consistent demonstration of technical excellence and commercial insight in all project deliverables\n, • Measurable contribution to the enhancement of Sagacity’s data science and analytics product suite\n\n Competencies and Experience \n\n • 2+ years’ experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy\n, • Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar\n, • Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP\n, • Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering\n, • Strong command of SQL and familiarity with data engineering environments such as Databricks or similar\n, • Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma\n, • Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences\n, • Commercially aware, with proven success in applying analytics to solve business problems\n, • Strong communicator; able to engage stakeholders and present findings with clarity and confidence\n, • Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment\n, • Willing to travel across the UK for client engagements\n, • Must have the right to work in the UK and a commitment to ongoing professional development\n

Overview We're looking for a talented Senior Product Manager to join our growing Data & Analytics team at Chambers. \n In this role, you'll help shape the future of our market-leading intelligence products, transforming unique legal industry data into innovative solutions that deliver meaningful value for our customers. Main Duties and Responsibilities \n\n • Develop and communicate a clear product vision and strategy for our data products, aligned with our strategic and commercial goals.\n, • Identify market opportunities and define product roadmaps that align with business goals.\n, • Conduct market research to understand customer needs, market trends, and competitive landscape.\n, • Gather and analyze user feedback to continuously improve product offerings.\n, • Demonstrate a strong product sense by deeply understanding user needs and behaviors.\n, • Ensure the product delivers an exceptional user experience and addresses key pain points effectively.\n, • Anticipate future trends and innovate to stay ahead of the competition.\n, • Collaborate with cross-functional teams, including engineering, data science, marketing, and sales, to deliver high-quality data products.\n, • Define product requirements, user stories, and acceptance criteria for data products. Oversee the development process, ensuring timely delivery of features and enhancements.\n, • Act as the primary point of contact for all product-related matters.\n, • Collaborate with stakeholders to ensure alignment on product goals and priorities.\n, • Partner with Product Marketing and Sales to develop and execute go-to-market plans, including product positioning, pricing, and marketing strategies.\n, • Support market engagement and drive product adoption and revenue growth.\n, • Ensure transparent communication of product direction, team strategy, initiatives, priorities, and progress to all stakeholders, including the wider commercial team.\n, • Inspire confidence and alignment across teams through clear, consistent, and effective communication.\n\n Why you should apply \n If you're passionate about building data-led products that solve real customer problems, this role offers the chance to make a tangible impact. Working alongside experienced product, data and technology teams, you'll help transform unparalleled legal market insights into industry-leading analytics solutions. \n Skills, Experience & Personal Attributes \n\n • Proven experience in product management with a focus on data-driven decision-making.\n, • Demonstrated ability to gather and synthesize various types of data for product roadmap decisions.\n, • Strong skills in developing, prioritizing, and communicating product roadmaps aligned with business objectives.\n, • Experience in leading teams through the entire product lifecycle, from concept to launch.\n, • Proficient in Agile methodologies and frameworks.\n, • Excellent leadership, mentoring, and communication skills.\n, • Strategic thinker with the ability to navigate ambiguity and drive results.\n\n Equal Opportunity Statement \n We are committed to fostering and promoting an inclusive professional environment for all of our employees, and we are proud to be an equal opportunity employer. Diversity and inclusion are integral values of Chambers and Partners and are key in our culture. We are committed to providing equal employment opportunities for all qualified individuals regardless of age, disability, race, sex, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. This commitment applies across all of our employment policies and practices, from recruiting and hiring to training and career development. We support our employees through our internal INSPIRE committee with Executive Sponsors, Chairs and Ambassadors throughout the business promoting knowledge and effecting change. As a Disability Confident employer, we will ensure that a fair number of disabled applicants that meet the minimum criteria for this position will be offered an interview.

Are you a data-driven Customer Success practitioner with a passion for designing scalable customer journeys, leveraging AI, and driving measurable retention? We are looking for a sharp, commercially minded Customer Success Enablement Specialist to spearhead high-impact 1:many growth and retention programmes across the UK market. Focusing on small businesses, sole traders, and accountants, you will blend cutting-edge digital platform capabilities with value-added human touchpoints to transform how we onboard, nurture, retain, and win back customers at scale. If you thrive on rapid experimentation, operational design, and turning data into commercial growth, this is an incredible opportunity to shape the customer lifecycle of a market-leading SaaS ecosystem. The Role As our Customer Success Enablement Specialist, you will own the design, operationalisation, and execution of end-to-end customer retention and monetisation initiatives. You will bridge strategy and execution—taking overarching growth goals and turning them into actionable customer journeys, detailed playbooks, and automated digital programmes. From converting free trials to leveraging propensity models for proactive churn prevention, you will sit at the centre of product, marketing, operations, and analytics to elevate the customer experience across every touchpoint. Key Responsibilities Design Scalable Customer Programmes: Architect digital-first welcome, nurture, retention, and winback programmes—including free-trial conversion strategies—tailored to accountants, sole traders, and small businesses. Embed AI & Propensity Modelling: Partner with Data Science and Analytics to deploy proactive, data-driven interventions that identify churn risks early and automate high-value outreach. Build Operational Playbooks & Frameworks: Collaborate with CX Design to draft comprehensive execution playbooks, process maps, and resource plans for both internal teams and BPO partners. Run Agile Experiments: Ideate, launch, and evaluate pilot programmes to prove ROI and refine strategies before market-wide rollout. Drive Ecosystem Growth: Continuously optimise lifecycle touchpoints to boost retention, increase feature attach rates, and generate qualified lead passes. Cross-Functional Orchestration: Collaborate with Sales, Product, Marketing, Analytics, and CX Operations to align retention plans and eliminate friction in the customer journey. Global Best-Practice Sharing: Work closely with international peers across global markets to share experimental learnings, adopt best-in-class frameworks, and support ‘global-by-design’ initiatives. Track & Present Performance: Establish leading and lagging KPIs, measure programme impact, and communicate clear, data-backed insights to senior stakeholders. What We’re Looking For Commercially Minded: A strong track record of supporting retention, adoption, or revenue expansion within a 1:many or tech-touch SaaS Customer Success environment. Operational Excellence: You enjoy diving into process maps, tweaking implementation workflows, and making operations run efficiently. Data-Driven & Analytical: Confident exploring numbers to quantify ROI, measure pilot success, and pinpoint areas for continuous improvement. Strategic & Collaborative: Highly skilled at connecting customer success tactics to broader regional priorities and building alignment across diverse teams. Clear Communicator: Outstanding written and verbal communication skills, with an ability to simplify complex concepts and present compelling proposals to key decision-makers. Experience & Qualifications 4+ years of experience in Customer Success, Customer Growth, or Enablement roles within a fast-moving SaaS organisation. 3+ years dedicated to customer retention strategy, lifecycle design, or scalable programme management. Degree qualified (or equivalent practical industry experience) in a business, technological, or related field. This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually. Thank you for taking the time to apply. Client Description Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit. Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence. #LI-Hybrid

Our client is a global technology company. Our client's CBRNE team (Chemical, Biological, Radiological, Nuclear and Explosives) makes sure that as Gemini gets better at science, it does not become a tool for catastrophic harm. We would like to invite applications for the position of a Threat Modeller Subject Matter Expert (SME) in the CBRNE team. In this role, you will work intently with the Threat Modeling Lead to serve as a critical operational linchpin responsible for building out, maturing, and maintaining the threat models that evaluate and support the mitigation of dual-use risks of our client's most advanced AI models. Your work will contribute directly into the frontier safety framework (FSF), providing the rigorous risk-calibration needed to inform model releases and ensure safety-critical deployments. We need a "doer", someone with the operational discipline to absorb vast quantities of complex scientific data, identify critical blind spots, and execute swiftly in a fast-paced environment. You will have an opportunity to apply real-world threat intelligence to the vanguard of artificial intelligence safety. Artificial intelligence will be one of humanity's most transformative inventions. We are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at our client. Minimum qualifications: PhD in Science, Engineering, Data Science or equivalent practical experience. 3 years of experience designing qualitative and quantitative models. 1 year of experience working within a national laboratory, research organization, government defense organization, military intelligence unit, or specialized research organization. Preferred qualifications: Experience executing independent projects and synthesizing large datasets under tight deadlines in fast-paced environments. Experience red-teaming, evaluating, utilizing LLMs to identify systematic vulnerabilities and potential misuse. Experience communicating complex, high-consequence technical CBRNe risks into clear, actionable insights for business leaders, corporate governance bodies, and policy experts Strong knowledge of dual-risk components of CBRNE domains and laboratory/defense paradigms. Understanding of model evaluation methodologies for determining the frontier risks of modern AI models; see our client's FSF and similar documents at other AI labs. Proven track record reviewing complex technical reports and identifying critical risks and vulnerabilities under tight timeframes. Responsibilities: Refine and maintain the threat modeling framework to define critical thresholds, and integrate models into FSF review processes to support deployment decision-making. Partner cross-functionally to design and implement evaluations identifying CBRNe-related risks in high-capability AI models. Collaborate across evaluation and mitigation teams to determine if deployment safeguards are adequate for high-capability models. Engage with external stakeholders, including governmental entities, third-party organisations (including the Frontier Model Forum) and subject matter experts. Monitor the external competitor landscape, emerging dual-use methodologies and broader frontier AI domain. TPBN1_UKTJ

Our client is a leading global investment bank. JOB DESCRIPTION Join a team accelerating how AI is embedded into real business workflows across Markets, Banking and Payments. You will work hands-on with senior stakeholders to turn high-value problems into practical, scalable AI solutions. This role offers the chance to build reusable components that help teams adopt AI consistently and effectively. You will partner closely with Technology and data science teams to deliver solutions that meet enterprise standards. If you enjoy moving from prototype to production while staying close to end users, this role is for you. As a Business Enablement Vice President in the Chief Data & Analytics Office, you will embed with Markets, Banking and Payments teams to understand day-to-day workflows and deliver working AI solutions quickly using internal tooling. You will translate domain needs into clear technical requirements and reusable components that scale across teams. You will design and own production-grade implementations, from architecture through deployment and iteration. You will contribute to shared libraries such as prompt libraries and skills to improve discoverability and consistency for business users. You will help deliver measurable commercial impact while meeting firm resilience, controls, and risk standards. Job Responsibilities Embed with senior stakeholders across Markets, Banking and Payments to observe workflows and identify high-leverage opportunities for generative AI. Translate Markets, Banking and Payments domain context into precise technical requirements and, where possible, reusable components for at-scale adoption. Design, prototype, and ship production AI solutions against key workflows using internal tooling and systems. Partner with Technology and Chief Data & Analytics Office teams to deliver solutions in production that meet resilience, controls, and risk standards. Own end-to-end architecture and development for assigned use cases, including data, retrieval, prompting, orchestration, evaluation, deployment, and iteration. Required Qualifications, Capabilities, and Skills Demonstrated background in capital markets origination, mergers and acquisitions advisory, treasury services, payments operations, or another core Banking or Payments domain. Knowledge of financial services with exposure to Payments and or Banking workflows. Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related quantitative field. Demonstrated experience partnering with non-technical business stakeholders to scope, build, and ship technical solutions. Hands-on experience writing and shipping production Python in an enterprise, high-bar engineering environment. Demonstrated experience designing, building, and deploying large language model applications, including prompt engineering, evaluation, retrieval-augmented generation, and agent orchestration. Familiarity with modern generative AI components such as large language model APIs, vector stores, embeddings, tool and function calling, multi-step agent design, and model evaluation. Strong analytical skills with excellent attention to detail. Strong verbal and written communication skills with the ability to communicate credibly with senior management, business users, and engineering partners. Preferred Qualifications, Capabilities, and Skills Experience building reusable assets such as prompt libraries, skills, or shared components to support consistent adoption at scale. Experience delivering solutions from prototype through production while aligning to enterprise architecture, controls, and risk expectations. Our client is seeking a Business Enablement Vice President within the Commercial & Investment Bank, aligned to the Chief Data & Analytics Office and the AI Enablement team, reporting to the AI Enablement Head of Business Enablement. The team focuses on driving adoption of AI and accelerating the analytics agenda globally by integrating AI into business workflows to deliver measurable commercial impact. #AIEnablementjobs ABOUT US Our client 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 our FAQs for more information about requesting an accommodation. ABOUT THE TEAM OUR CLIENT'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. TPBN1UKTJ

Our client is a board governance software company. Our client is a technology and advisory firm on a mission to make boards more effective, and through them, build better businesses and benefit society. Over twenty years we have established ourselves as the market leader in governance and board effectiveness, trusted by more than 80,000 directors, executives, and governance professionals globally, including across the Fortune 500, FTSE 100, and OMX 30. That trust has been earned through depth of insight, rigorous advisory work, and a track record that newer entrants simply cannot replicate. We have invested in applied AI since 2020, well ahead of the market, and that early conviction has paid off. Our AI-powered platform and smart board advisor give us a competitive advantage that is widening, not narrowing. In 2024, K1 Investment Management, the leading B2B Enterprise SaaS investor, backed us to accelerate that position further. We are now growing fast, with a proven commercial model spanning both mid-market and enterprise, and a product suite that has become a necessary addition in high-stakes board environments. The people joining us now will shape how we scale. We are deliberate about how we do that. Our founders and leadership team are deeply invested in keeping the culture that got us here: thoughtful, high calibre, and genuinely human. Ambition and balance are not in competition at our client. If you want to work at the intersection of AI and governance, on problems that matter at the highest level, this is a strong place to be. Our Mission We unleash the potential of organisations through the science of board effectiveness, building better businesses and benefitting society. The Role Our Revenue team is responsible for selling our products and services. We do this through a sales team and a consultancy. This role reports to the VP Sales and is within the sales team, focusing on selling our technology as the first step towards better governance & decision making. Main Responsibilities • Cultivating and nurturing sales opportunities while achieving targeted numbers for Annual Recurring Revenue and Professional Services. • Proactively prospecting, as well as qualifying and pursuing marketing-generated leads – with a focus on in-person networking in London. • Establishing executive sponsorship by making connections in prospect and partner organisations and understanding business needs and objectives. • Justifying the value of our proposition, through effective research of a prospect's business to demonstrate ROI. Expertly navigating objections, anticipating and planning to avoid them. • Discovering and defining client problems, using questioning and research techniques to uncover explicit or latent business issues related to our products/services. • Building domain expertise, showing a deep understanding of the target market's customers, needs and use cases. To be considered “one of them” by prospects. • Following our sales process guidance and using related tools to ensure accurate data at all times. • Taking a resourceful approach to your work, creating customer-centric solutions where company approaches fall short and finding solutions to overcome challenges. • Taking a creative view on how we sell, recognising the need to go beyond the playbook for some potential opportunities. • Raising the game on how we ensure we maximise our deal potential and capture a much bigger market share. What we're looking for Required Experience • A highly experienced sales executive with proven track record of delivering growth, ideally in a B2B SaaS environment. • Gravitas and poise to engage senior stakeholders with challenging demands, whilst also having the warmth to nurture relationships with more junior members of FS governance teams. • Mastery of the SaaS sales process, with exceptional eye for detail on how to build the disciplines and approach to sell varied products to senior, discerning buyers in Enterprise businesses. • Experience in a high-end professional services environment, building creative solutions to complex client problems and selling major pieces of work would be beneficial. • A passion for business, with knowledge about governance, leadership and decision-making. An appreciation for enterprise-level board dynamism especially in FS would be beneficial. • Exceptional operating disciplines, attention to detail and project management ability. Innately metric-driven. • The grit and tenacity needed to deliver this ambitious remit. Our Values Our values aren't just words on a wall. They capture our culture, and the behaviours we see and strive for every day. Kindness & caring — We celebrate brilliance that comes without big egos or sharp elbows, and we win while raising each other up. Curiosity & innovation — Entrepreneurship is in our blood. We're inquisitive, challenge convention, think big, and move fast. Remarkable quality & service — We take joy from delighting our clients and pride ourselves on ensuring every interaction is exceptional. Benefits We pride ourselves on our great working environment and package. Here's some of what's on offer: Pension scheme Personal performance bonus 26 days holiday each calendar year Bupa health & dental cover Group life assurance EAP Cycle to work scheme Diversity, equity and inclusion Our client is committed to building a team that reflects the breadth of experience, background and perspective needed to do this work well. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of age, disability, ethnicity, gender, religion, sexual orientation or any other protected characteristic. If you need any reasonable adjustments at any stage of the process, please let us know and we will accommodate them. TPBN1_UKTJ

Are you willing to commit some of your time, energy and experience to link the people of the past with London’s buildings of the present by supporting our famous blue plaques scheme as a member of the Blue Plaques Panel? \n We are looking for up to four new members with particular expertise in the history of art, sport, international relations/military history and cultural history. As a member of the Panel, you’ll support English Heritage’s blue plaques team by reviewing an exciting list of nominations and deciding who should be commemorated with a new plaque. ABOUT LONDON’S BLUE PLAQUES: PART OF LONDON’S FABRIC \n The London blue plaques scheme, run by English Heritage since 1986, celebrates the links between notable figures of the past and the buildings in which they lived and worked. Originally founded in 1866, it has inspired many similar schemes in the UK and around the world. \n English Heritage continues to broaden the coverage of the scheme, both geographically – there are now plaques in all but two of London’s boroughs – and in the people being recognised. Figures commemorated in recent years have ranged from the footballers Bobby Moore and Laurie Cunningham, the women’s rowing pioneer Amy Gentry, the SOE agents Noor Inayat Khan and Odette Sansom, and the artists Graham Sutherland, Vanessa Bell, and Duncan Grant. \n Members of the public are invited to suggest individuals (and sometimes other historical associations) to be commemorated by a blue plaque in London. These nominations are considered by the Blue Plaques Panel against a set of criteria, chief among which are the significance of the nominee’s achievements and the strength of their connection to London and its buildings. \n The Panel is a group of experts in a variety of fields to reflect the wide range of blue plaque nominations English Heritage receives. This includes politics, sport, music, film, theatre, science, history, art and popular culture. Whilst members are appointed for their considerable expertise in a particular area, they are also expected to consider all nominations put before the Panel. \n Please note: since 2023, Historic England has run a plaque scheme covering England outside London. This is administered separately and has its own awarding panel. ABOUT YOU \n We are recruiting for up to four new Panel members with particular expertise in one of the following areas: history of art, sport, and international affairs/military history. \n We would ideally like the new Panel members to join us in time to attend the 4 February 2027 meeting. Required experience, attributes and skills \n - Experience in the history of art, sport, international relations/military history or cultural history, evidenced by a senior appointment (or similar evidence of relevant expertise), a public profile in the relevant field or a strong publication record. \n - An awareness and understanding of London history, geography and culture. \n - An understanding of and enthusiasm for the blue plaques scheme. \n - Strong influencing, interpersonal and relationship-building abilities and the ability to work effectively as a member of a team. \n - A commitment to Nolan's Principles of Public Life: selflessness, integrity, objectivity, accountability, openness, honesty and leadership. \n - Having the time and focus to fulfil the role to the highest standard. \n Everyone is welcome at English Heritage, and we are always looking for people who reflect the diversity of London and the UK today, to help us make the blue plaques scheme more relevant to the diversity of the people, communities and places we serve. ABOUT THE ROLE Time commitment \n The Panel meets three times a year, on dates planned well in advance, usually in February, June and October. The meetings are typically held at English Heritage’s office in London EC2 and normally last two hours. Time is allowed afterwards to give members the opportunity to get to know each other and members of the blue plaques team. \n Papers for each meeting are sent out ten days in advance. These will include detailed reports on nominations, final reports on plaques approved and any related issues. Members are expected to come to meetings well-prepared, having read these papers in advance. \n We ask Panel members to be active ambassadors for the blue plaques scheme. They are encouraged to attend blue plaque unveilings when possible and to speak on behalf of the Panel in cases where their specialism is relevant. Terms of appointment \n Initial appointments are made for four years, and members are eligible for reappointment for a further term. \n The role is unremunerated, but all reasonable expenses (such as for travel and childcare) are claimable. Panel members will also have the opportunity to engage with the wider work of English Heritage, including visiting some of the 400+ sites within our care. Our commitment to you \n We’ll give you a full induction about the scheme and the work of the Panel. HOW TO APPLY \n We are committed to ensuring diversity and equality are part of our work. The more diverse the Panel, the better able it is to bring new perspectives and to support us to keep the scheme exciting and relevant. To that end, if you've felt you could never apply to a role like this or that we could be doing things differently and are interested, apply. We really want to hear from you. \n To apply, please fill out the form with your CV and cover letter. \n Interviews will be held in person in central London on 25 November 2026. The appointments will be made subject to satisfactory references and other appropriate due diligence.

Our client is a customer data science company. London | Full-time | Hybrid About our client Our client is the global leader in Customer Data Science, helping the world's most ambitious retailers and brands put the customer at the heart of every decision. With nearly 3,000 experts across Europe, Asia, Africa and the Americas, we partner with iconic businesses like a major UK retailer, Coca-Cola, Meijer, Procter & Gamble and Metro to turn data into growth, innovation and measurable value for their customers. Product Our Product team owns the vision, strategy and roadmap for our client platform — the data, science and software that powers retailers and brands around the world. We work at the intersection of customer data, AI and commercial impact, building products that turn insight into measurable growth. About the Role We're looking for a Senior Client Success Lead to join our Media Product team on a permanent basis. This is a strategic Client Success role focused on ensuring our Retail Media products continue to deliver exceptional value for retailers, brands and agency partners. Acting as the voice of the customer within the Product organisation, you'll combine deep platform expertise with strong stakeholder leadership to influence product priorities, improve user experiences and drive successful adoption at scale. You will partner closely with Product Managers, Engineering, Client Services and commercial teams to ensure customer feedback, market needs and product performance insights are reflected in the evolution of our retail media capabilities. What You'll Be Doing As a senior member of the Client Success team, you'll play a critical role in connecting customer outcomes with product strategy. Champion customer needs and user feedback, ensuring real-world product insights are represented in product discussions and roadmap planning. Build trusted relationships with senior client stakeholders, acting as a strategic advisor on product capabilities, adoption and best practice. Lead complex product launches, feature rollouts and adoption initiatives across multiple stakeholder groups. Analyse product health, adoption and user journey data to identify trends, risks and opportunities for improvement. Partner with Product and Technology teams to influence priorities, improve user experiences and support long-term product success. What We're Looking For We're looking for someone who combines strong product knowledge, strategic thinking and customer focus. Experience working within Retail Media, AdTech, MarTech or a related product environment. Credibility operating with senior stakeholders and influencing decisions across multiple teams. Strong understanding of product adoption, customer success and user engagement principles. Confidence translating customer feedback and product performance data into actionable recommendations. Ability to navigate ambiguity and drive outcomes across Product, Technology and commercial functions. You'll Thrive If You… Enjoy shaping product direction through customer insight. Balance strategic thinking with hands-on problem solving. Are energised by influencing without direct authority. Take ownership of complex initiatives that span multiple teams. What You Can Expect From Us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. And we don't just talk about diversity and inclusion. We live it every day – with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process — please let your recruiter know what adjustments would help. UK Benefits Flexible benefits allowance with the option to take unused allowance as salary or contribute it towards your pension. Private medical insurance, life assurance, income protection and critical illness cover. Pension scheme with employer matching contributions of up to 7.5%. Wellbeing support through the Wellness Hub and Employee Assistance Programme. Annual leave entitlement together with the ability to purchase additional holiday and enjoy a birthday day off. Our approach to Flexible Working We value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here) TPBN1_UKTJ

Our client is a digital and technology consultancy serving the public sector. Work on exciting public sector projects and make a positive difference in people's lives. We thrive on solving complex challenges through creative thinking and the latest tools and tech. As a Machine Learning Engineer,AI, you'll be responsible for researching, developing, and testing new AI algorithms, models, and technologies that businesses can use to automate tasks and gain insights from their data. Key responsibilities include building complex models, designing and managing MLOps pipelines for CI/CD, monitoring, and model retraining. Mentoring junior members, influencing technical decisions within the team, and handling complex, non-routine problems. Our work culture is inclusive, modern, friendly, and democratic. We look for bright, positive-thinking individuals with a can-do attitude. Our people enjoy challenging themselves to be the best at what they do – if that sounds like you, you'll fit right in! Role Objectives These are the expected objectives for this role. We are happy to discuss this further during the interview process with the successful candidate. Model Development & Delivery: Design, build, test, and deploy complex machine learning models, ensuring high standards of quality, performance, and scalabilityDecide what model is most suitable for use in products and services MLOps Pipeline Management: Design and manage robust MLOps pipelines, including continuous integration/continuous delivery (CI/CD), monitoring, and model retraining, to ensure efficient and reliable model deployment and operation Advanced Problem Solving: Act as a technical expert for complex, non-routine technical challenges within machine learning, developing and implementing innovative and effective solutions Customise, optimise, re-train and maintain existing models Deploy models into production, testing and assuring them to ensure they meet performance requirements Work with others to integrate models with existing systems Check that models used in live products and services stay safe, secure and continue to work effectively Requirements Broad technical expertise in machine learning, demonstrating a deep understanding of various ML algorithms, frameworks, and best practices. Research. Plans and directs and carries out research activities, acting as a subject matter expert in generative AI research. Emerging Technology Monitoring. Systematically discovers and evaluates new generative AI technologies for business relevance, feasibility and relevance within the National Security Domain. Prototyping. Delivers complex, high-risk proofs of concept that test new AI applications. Specialist Advice. Serves as the primary source of expertise for generative AI within the organization. Data Science. Applies a range of data science techniques to support model development. Proven experience in building, deploying, and managing complex machine learning models. SC Clearance: Our client works with UK Central Government departments on a range of projects. To be able to work on our customer projects, employees must be Security Cleared to a standard acceptable to our Government customers. Due to this restriction we can currently only recruit candidates who have the right to work in the UK without sponsorship and who have lived in the UK for the last 5+ years continuously. Benefits Compensation Competitive Pay: Salaries reviewed annually to ensure they reflect your performance and market value. Loyalty Pension: We invest in your future. Starting at a 5% employer contribution, we increase this by 0.5% every year after your third anniversary, up to a maximum of 8% . Protection: Comprehensive Group Life Assurance for peace of mind. Purpose & Culture Real Impact: Work on mission-critical projects that secure and improve the UK's digital infrastructure. Autonomy: A culture that empowers you to make decisions, prototype rapidly, and iterate towards success. Service & Community: We support those who serve. 10 paid days for Reservist Military Service. Work / Life Balance Time Off: 25 days annual leave + Bank Holidays, with the flexibility to Buy/Sell additional days to suit your lifestyle. Giving back: 2 paid volunteering days per year. Development & Growth Master Your Craft: Fully funded professional certifications (AWS, GCP, Agile, etc.) supported by 5 days paid study leave . Expand Your Horizons: An additional £500 annual "Personal Choice" fund to learn whatever inspires you—work-related or not. Support: Access to 1-2-1 professional coaching and team training to accelerate your career. Health & Balance Premium Health: Vitality Private Medical Insurance (includes Apple Watch, gym discounts, and rewards). Flexibility: Genuine hybrid working with a WFH equipment allowance to perfect your home setup. Wellbeing: Cycle to Work scheme and a commitment to sustainable, healthy working practices. For further information contact: Nat Hinds: Head of Talent Kayla Kirby: Talent Acquisition Specialist TPBN1_UKTJ

?The Senior Polymer Chemist is a key technical leader within the Polymer Technology team, responsible for driving innovation in polymer synthesis and adhesive/composite/resin technologies . You will lead multiple research and development projects, develop new polymers, and support commercialisation and scale-up of products from laboratory through to manufacturing. Contribute to intellectual property development, mentor junior colleagues, and act as a subject matter expert in polymer & adhesive chemistry and composite resin technologies. Key Responsibilities Lead the technical delivery of R&D projects focused on polymers, adhesives, resins and composite materials. Design, develop and optimise polymer systems and performance resin technologies for composite and structural applications. Conduct research, analyse results and prepare technical reports to support development activities and strategic decision-making. Manage product development activities from concept through laboratory development, scale-up and commercialisation. Develop and implement improvements and product modifications to enhance performance, sustainability and manufacturing efficiency. Lead technology transfer activities to ensure successful introduction of new products into manufacturing environments. Work closely with procurement and plant teams to resolve material, production and quality challenges and support operational excellence. Lead intellectual property activities, including patent generation, patent reviews and support of patent applications. Collaborate with customers, suppliers, academic institutions and industry experts on development programmes and research initiatives. Attend industry conferences, trade shows and technical forums to maintain awareness of emerging technologies, market developments and industry trends. Mentor and support junior scientists, providing coaching, technical guidance and development opportunities. Act as deputy to the Technology & Sustainability Manager when required. Key Skills & Knowledge Strong technical expertise in polymer synthesis and chemistry, resin technology and industrial chemistry. Knowledge of composite materials, structural materials and performance resin systems. Experience in the synthesis and development of polymers and adhesive technologies Strong understanding of product development, scale-up and commercialisation processes. Knowledge of intellectual property management and patent generation. Excellent analytical, problem-solving and technical troubleshooting skills. Strong project leadership and organisational capabilities. Excellent communication, presentation and stakeholder management skills. Understanding of regulatory, quality and HSE requirements within a chemical manufacturing environment. Qualifications Essential: Degree in Chemistry or a related scientific discipline. Minimum 5 years' industrial experience in polymer synthesis & chemistry, resin development, adhesives or related materials science disciplines. Desirable: PhD in Polymer Chemistry or Materials Science. Formal project management training or qualification (e.g. PRINCE2 or equivalent). Additional Requirements Willingness to travel occasionally for customer visits, conferences, trade shows and collaborative projects. Full UK driving licence. Must have the right to work in the UK and be living in the UK, sponsorship is not provided. TPBN1_UKTJ

About Man Group Man Group is a global alternative investment management firm focused on pursuing outperformance for sophisticated clients via our Systematic, Discretionary and Solutions offerings. Powered by talent and advanced technology, our single and multi-manager investment strategies are underpinned by deep research and span public and private markets, across all major asset classes, with a significant focus on alternatives. Man Group takes a partnership approach to working with clients, establishing deep connections and creating tailored solutions to meet their investment goals and those of the millions of retirees and savers they represent. Headquartered in London, we manage $253.6 billion* and operate across multiple offices globally. Man Group plc is listed on the London Stock Exchange under the ticker EMG.LN and is a constituent of the FTSE 250 Index. Further information can be found at At Man Group, we respect your privacy and we are committed to protecting and safeguarding your Personal Data. We have developed policies and processes which are designed to provide for the security and integrity of your Personal Data. We are committed to Processing your Personal Data fairly and lawfully, and being open and transparent about such Processing. For further information on how we process your data, please see the privacy notice for applicants • As at 30 June 2026 The Team We are currently seeking an experienced SailPoint Identity IAM Engineer to join our team in London. In this role, you will be responsible for onboarding applications, configuration of the platform, recertifications, workflows and connectors associated into Identity Security Cloud, ensuring seamless integration and functionality. As the SailPoint IAM Engineer, you will be part of, and work closely with the IAM team, to complete technical onboarding in the Dev environment and ensure successful Production deployment. Your extensive knowledge of IAM best practices, procedures, and software solutions will be instrumental in delivering high-quality results. To succeed in this role, you will need proven experience as an IAM Engineer with SailPoint technologies, preferably ISC, along with experience working with various technologies including Windows, Linux/Unix, scripting, LDAP, SQL, API, Connectors, and web services. Proficiency in one or more programming languages such as Java is also essential. This is an exciting opportunity for someone looking to leverage their skills and expertise in identity and access management, while being part of a huge transformation within the company, driving business growth and success. Role Responsibilities • IAM System Implementation: Participate in the planning, design, and implementation of IAM systems, • Issue Resolution: Analyse and resolve IAM related issues and challenges, • Access Monitoring and Auditing: Regularly monitor and audit access rights to identify unauthorized access attempts and potential security breaches, • Strategy Development: Contribute to the development of IAM strategies and roadmaps, • Cross-functional Collaboration: Collaborate with IT and business stakeholders to understand their IAM needs and translate these into functional requirements, • User Support and Training: Provide training and support to users on IAM policies and procedures Key Competencies • Education: Bachelor’s degree in computer science, Information Technology, or a related field or equivalent industry experience, • Experience in SailPoint Technologies, preferably ISC, • Experience in configuring workflows, onboarding applications, JML processes, Recertifications and integration with 3rd party apps and technologies (API, LDAP, SQL, Web Services), • Experience with Windows environments, Linux, Unix, • Programming language: (Java, Python preferred), • Experience: Minimum of 3 years of experience in IAM or a related field, • Problem-solving Skills: Strong analytical and problem-solving skills, • Communication Skills: Excellent communication and interpersonal skills, • Regulatory Knowledge: Familiarity with relevant laws and regulations (such as GDPR, CCPA, etc.) is beneficial, • Certifications: Relevant certifications (e.g., CISSP, CISM) are desirable Inclusion, Work-Life Balance and Benefits at Man Group You'll thrive in our working environment that champions equality of opportunity. Your unique perspective will contribute to our success, joining a workplace where inclusion is fundamental and deeply embedded in our culture and values. Through our external and internal initiatives, partnerships and programmes, you'll find opportunities to grow, develop your talents, and help foster an inclusive environment for all across our firm and industry. Learn more at . You'll have opportunities to make a difference through our charitable and global initiatives, while advancing your career through professional development, and with flexible working arrangements available too. Like all our people, you'll receive two annual 'Mankind' days of paid leave for community volunteering. Our comprehensive benefits package includes competitive holiday entitlements, pension/401k, life and long-term disability coverage, group sick pay, enhanced parental leave and long-service leave. Depending on your location, you may also enjoy additional benefits such as private medical coverage, discounted gym membership options and pet insurance. Equal Employment Opportunity Policy Man Group provides equal employment opportunities to all applicants and all employees without regard to race, color, creed, national origin, ancestry, religion, disability, sex, gender identity and expression, marital status, sexual orientation, military or veteran status, age or any other legally protected category or status in accordance with applicable federal, state and local laws. Man Group is a Disability Confident Committed employer; if you require help or information on reasonable adjustments as you apply for roles with us, please contact .

Job-ID: 26004810Category: LegalLocation: Chiswick, London, United KingdomSchedule: Full time, DayPosted: 2026-10-19Job Overview:The Principal Counsel is responsible for interpreting internal or external business issues and recommending best practices. They will be tasked with solving complex Counsel-related problems and will work independently with minimal guidance. The Principal Counsel may be responsible for leading functional teams or projects and is regarded as a specialist in the field of Counsel. As such, they must have in-depth expertise in Counsel as well as broad knowledge of the Counsel discipline within the Legal function.QualificationsEssential Qualifications and Education:Bachelor's degree in Chemical Engineering, Petroleum Engineering, Chemistry, or similarAdvanced science degree desirableBar registration; registered to practice law4 to 6 years of law firm experience drafting and prosecuting patent applications and managing global patent portfolios; ability to independently prepare and prosecute patent applicationsThorough understanding of Patent Cooperation Treaty patent laws/regulations and good knowledge of at least some foreign patent laws and practicesSome experience in drafting IP-related contracts along with a desire to expand upon existing experienceExcellent written and oral communication skills, including the ability to effectively communicate with business leadersOutstanding analytical skills with a reliable eye for quality and detailAbility to manage priorities and deadlines in a fast-paced environment with myriad business pressuresAbility to think beyond the rules of patent filings and prosecution and focus on the practicalities and context of business needsAbility to work well within a team, taking direction and providing leadership as needed#LI-LJ1ResponsibilitiesKey Tasks and Responsibilities:Develop and maintain an understanding of the business and technology of the assigned business unit(s), as well as associated patent portfoliosIdentify Intellectual Property (IP) risks to assigned business units and manage them in collaboration with the Senior Director/Chief IP Counsel Negotiate and draft IP-related contracts such as NDAs, technical service agreements, and licensesReview and advise the company on IP-related risks in complex, high-value transactionsLead patent committee meetings for assigned portfoliosEfficient exercise of control over outside counsel to minimize external costsAssist inventors with the writing and submittal of invention disclosuresInstruct inventors on legal requirements for a patentable inventionAdvise inventors on data and other information needed to increase the patentability of inventionsCritically review and evaluate submitted invention disclosuresPerform and evaluate patentability searchesProvide support for freedom-to-operate assessments and IP enforcement mattersMaintain expertise in patent laws/regulations and general knowledge of patent laws in at least some foreign jurisdictionsProsecute patent applications and/or manage outside counsel on the prosecution of patent applicationsAbout the company Our ingenuity fuels daily life. Together, we’ve forged some of the most trusted partnerships across the energy value chain to make what was once just an idea a reality: laying subsea infrastructure thousands of feet below sea level, installing platforms hundreds of miles from shore, using our expertise to design and build offshore wind infrastructure, and reshaping the onshore landscape to deliver the energy products the world needs safely and sustainably. For more than 100 years, we've been making the impossible possible. Today, we're driving the energy transition with more than 30,000 of the brightest minds across 54 countries.

Job-ID: 2e8693c5-5ecd-4120-b548-abcbe7f73f32Salary: USD 295500 - 335300 yearEmployment type: FULL TIMEPosted: 2026-10-13Before the detail, here's the challenge you'd help us solve.We build the embodied intelligence that moves real vehicles safely, and the ecosystem a billion machines will run on in the future. Very few people in AI can say this. Every role here, whatever the team, plugs into that.Here’s what this particular role covers.ð ️ About our Robotics TeamThe Robotics team is responsible for bridging the gap from our model to our vehicle platforms, in order to let the model focus on making driving decisions. We aim to provide high quality data to the model for making such decisions, whilst abstracting away platform-specific aspects.ð§ Your day-to-dayDefine the technical architecture and roadmap for Wayve’s offline 3D reconstruction system.Lead the development of MVPs that unblock high-priority internal use cases, while guiding the transition to a robust internal platform.Establish the core technical interfaces, output representations, and tools needed to support internal customers.Partner with calibration, sensor fusion, perception, data, infrastructure, and validation teams to align requirements, resources and ownership boundaries.Set technical standards for reconstruction quality, failure analysis, uncertainty measurement, and dataset suitability and execute strategies to validate themMentor and provide technical leadership to engineers contributing to the 3D reconstruction effort.Communicate technical tradeoffs, limitations, and progress clearly to engineering leaders and cross-functional stakeholders.ð§ What you’ll be working on:Leading the development of an offline 3D reconstruction capability that builds high-quality 3D world geometry from vehicle sensor data in dynamic scenes. The system will draw on localization and mapping, state estimation, and sensor fusion to produce offline 3D geometric reconstructions and best-estimate ego motion from heterogeneous vehicle platforms and sensor suites. The work will support internal validation, data enrichment, and model development by turning raw sensor data into reliable, quality-assessed 3D ground-truth outputs. This is a principal-level technical leadership role for someone who can set the technical direction, build early prototypes, and align cross-functional teams around a shared reconstruction capability.ð You should apply if you have:Required Skills/ExperienceDeep technical expertise in SLAM, 3D reconstruction, mapping, state estimation, or closely related robotics/perception fields.Strong hands-on experience with lidar-based reconstruction, point-cloud registration, pose estimation, and real-world robotics sensor data.Experience building offline reconstruction, mapping, or perception systems that operate on large volumes of sensor data.Strong software engineering skills in C++, Python, or similar robotics/perception environments.Experience taking research or prototype algorithms into reliable production systems.Comfortable defining technical strategy, roadmaps, and milestones in ambiguous problem spacesStrong cross-functional technical leadership in ambiguous, multi-team environments.Clear communication of algorithmic tradeoffs, limitations, confidence, and failure modes to technical and cross functional stakeholders.Systems-level understanding of sensor calibration, timing, synchronization and quality issues, and ability to define requirements and work with specialist teams to achieve themDesired Skills/ExperienceMS/PhD in Robotics, Computer Science, State Estimation, Sensor Fusion, SLAM, 3D Reconstruction, or a related technical field; or equivalent practical experience.Experience with autonomous vehicles, robotics, mapping, or ground-truth data pipelines in a production setting.Experience with GNSS/INS fusion, sensor based odometry, or other high-accuracy position estimation approachesExperience with nonlinear optimization techniques such as pose graph optimization, factor graphs, bundle adjustment, ICP etcExperience apply modern machine learning approaches to 3D reconstruction, mapping, or scene understanding, including foundation models or learned 3D representationsFamiliarity with robotics tooling such as ROS, PCL, OpenCV, CUDA, or similar.Familiarity with ML data enrichment, autolabelling, annotation workflows, or validation-data generation.Experience designing quality metrics, validation evidence, or credibility arguments for reconstructed data.Experience leading small expert technical teams from early-stage concept to production use.ð Not ticking every box? That’s totally okay! If you’re passionate about autonomy and keen to learn, we encourage you to apply even if you don’t meet every requirement.More about Wayve:ð Wayve is building the leading AI platform for autonomous driving. We are pioneering an end to end AI approach that enables vehicles to learn directly from real world experience, developing the ability to adapt, generalise and improve at scale. Instead of relying on hand coded rules or pre mapped environments, our AI Driver learns to drive by understanding the world around it. The result is technology that navigates complex urban environments with intelligence, precision and natural flow, unlocking meaningful advances in both safety and efficiency. We believe autonomy represents a once in a generation transformation in how people and goods move, comparable to the shift from horses to cars, and from human driven vehicles to intelligent machines.Our ambition is to make autonomy universal. Wayve’s mapless and hardware agnostic AI platform integrates with global OEM partners, enabling continuous software evolution and unlocking advanced levels of automation from L2 plus through to L4 as our core AI model scales. In a race increasingly defined by intelligence and real world learning, Wayve is taking a distinct approach, building a generalisable driving intelligence that can power any vehicle, anywhere. By combining embodied AI with scalable deployment, we are creating technology that can be shaped to each OEM brand and driver experience, accelerating the transition to a safer, more intelligent future of mobility.How we work ð»- Locations & Flexible Working:Our main hubs are in London, Sunnyvale, Yokohama, Herzliya, Vancouver and Leonberg. We operate a hybrid working model that combines in-person collaboration in our dedicated office spaces with focused time working remotely. This gives our teams the connection and energy of working together, alongside the flexibility to do their best work in a way that fits their lives.ð The Interview Process:Our process is clear and respectful of your time:Initial call / recruiter screen: general background, current situation, interests and Wayve company information & hiring context.Competency Interviews: programming and code review.Deep-dive technical interviews: domain knowledge & system design.Final interview: mission & values alignment.We’ll always explain the format and work around your availability.What’s in it for you (Location dependant):ð Salaries benchmarked against the market annuallyð Meaningful equity, sharing in the ownership and long term success of Wayve️ Relocation support and visa sponsorship where applicable Hybrid working, core hours and the chance to work hands on in vehicle workshops and labsð Learning and development budgets with support for training, conferences and growthðº Comprehensive benefits including health insurance, dental, enhanced maternity and paternity leave, retirement or pension where applicable, access to therapists, wellbeing partnerships, team socials and moreA quick, honest note before you apply.Wayve is not a mature, fully-structured place with the playbook already written. Much of how we work is still being written, and if you join, you’ll help write it. That suits people who want real ownership more than people who need a settled structure from day one.If that sounds like the kind of problem you want to spend your time on, we’d really like to hear from you.At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law.For more information visit Careers at Wayve. To learn more about what drives us, visit Values at WayveDISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

General InformationJob TitleAI Engineering Lead, Evals and Systems IntegrationJob ID111330Work AreasTechnology & EngineeringEmployment TypePermanent Full-TimeLocation(s)Boston, Chicago, London, Sao Paulo, WarsawDescription & RequirementsWhat Makes Us a Great Place to WorkWe are proud to be consistently recognized as one of the world’s best places to work. We are currently the top ranked consulting firm on Glassdoor’s Best Places to Work list and have earned the #1 overall spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don’t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.Who You’ll Work WithYou will be part of a team building Bain’s integrated suite of agentic decisioning tools that gives large organizations always-on intelligence across their most important growth decisions. The role sits at an intersection few organizations can offer: the analytical depth and client access of a top-tier consultancy, the technical ambition of a product company, and engineering work at the frontier of applied AI.You will work inside Bain’s standing product team, building software that helps the world’s largest companies answer the questions that drive their business: where to invest, where to focus, and how to win. The impact of what you build is direct and immediate, and the platform compounds in value with every release.The platform has two layers working together: an agentic core and a set of decision modules, each solving a distinct commercial problem. The build lifecycle is connected to the real world: as case teams work alongside clients across industries and geographies, that feedback flows straight back to engineering and into the product. Every client engagement makes the platform smarter, broader, and more resilient.This is a startup inside an established company. You get genuine early-stage ownership and real influence over architecture and product direction, backed by Bain’s global scale, client relationships, and leadership commitment; the pace of a startup with the runway of a global firm.We are looking for engineering leads who see how to make the platform’s evaluations sharper and bring that instinct to every sprint without being asked, and who are comfortable with problems that do not have a known answer. The work involves building evaluation frameworks for LLM-based and agentic systems, systems integration testing, and data problems with no off-the-shelf answer. Experience with agentic systems matters: tool and context protocols such as MCP, evaluation harnesses, and entity resolution across messy enterprise data. This is applied AI in production, at scale, with real users and a team depending on how you approach problems that do not have a known answer. The field is moving quickly and the team is built to move with it, so the willingness to keep learning counts for as much as what you already know.Where You’ll Fit Within the TeamThe AI Engineering Lead, Evals and Systems Integration, owns the evaluation framework and systems integration layer across the entire Growth AI Performance System platform. This is a cross-cutting role: you are not evaluating a single agent or a single module, but the coherence, quality, and reliability of the full system: from the data ontology layer through the Agentic Core to the three product modules that clients use. Your work is the quality gate that determines what is ready to ship and what is not.You will work directly across three teams: the Data Ontology and Knowledge team, where you evaluate whether the semantic layer is producing outputs that are accurate, consistent, and consumable by downstream AI systems; the Agentic Core and Interface team, where you evaluate whether agentic workflows are executing reliably, reasoning correctly, and failing gracefully; and the Platform and Security team, where you ensure that evaluation and observability infrastructure is hardened, compliant, and integrated with the platform’s security and audit controls.You will work across the platform and product modules focused on marketing ROI, brand, and pricing strategy, defining what good looks like for each domain, building the evaluation datasets and rubrics that capture it, and enforcing deployment-readiness standards consistently across all three modules before anything reaches a live client engagement.This role has significant client proximity. You will engage with consulting teams after client deployments to understand where the system fell short, translate that feedback into structured evaluation improvements, and present quality and reliability findings to senior client stakeholders. The evaluation framework you build is not just an internal engineering tool: it is part of what makes clients trust what the platform produces.What You’ll DoEvaluation framework design and ownershipOwn and evolve the evaluation framework across the full Growth AI Performance System platform, defining quality standards, scoring rubrics, evaluation datasets, and deployment-readiness thresholds for the data ontology layer, the Agentic Core, and all three product modulesDesign and maintain evaluation datasets and regression test suites that enable systematic, reproducible measurement of system quality across the full stack: from knowledge graph accuracy and entity resolution correctness through to agentic workflow reliability and end-to-end output qualityDefine what ‘good enough to deploy’ means at each layer of the system (semantic layer, agentic orchestration, retrieval pipelines, and product module outputs), and enforce those standards consistently before any change reaches a live client environmentDesign experiments to measure system quality, detect regressions, and surface the root cause of quality failures; apply statistical reasoning and experimental design to distinguish signal from noise in evaluation resultsBuild automated evaluation pipelines that integrate into CI/CD workflows so that quality gates run before every deployment; ensure evaluation is a continuous process, not a pre-release checkpointSystems integration and cross-team evaluationEvaluate the integration points between the data ontology layer and the Agentic Core, validating that knowledge graph outputs are correctly structured, semantically consistent, and reliably consumable by agentic retrieval and reasoning systemsWork with the Data Ontology and Knowledge team to define evaluation criteria for entity resolution quality, taxonomy consistency, and data contract correctness; build the tests and monitoring that catch ontology-layer failures before they propagate downstreamWork with the Agentic Core and Interface team to evaluate multi-agent orchestration, tool use reliability, context passing, and end-to-end workflow correctness; define failure mode taxonomies and ensure the system degrades gracefully when components failWork with the Platform and Security team to ensure evaluation infrastructure is integrated with the platform’s security controls, audit logging, and compliance requirements; validate that evaluation pipelines themselves handle sensitive client data correctlyCoordinate evaluation work across distributed engineering teams; translate evaluation findings into concrete, prioritized engineering improvements and communicate quality status clearly to product and engineering leadershipInternal stakeholder communication skillsEngage with consulting teams after live client deployments to understand where system outputs fell short, tracing quality failures through the evaluation framework, identifying root causes, and feeding structured findings back to the relevant engineering teamsPresent evaluation findings, quality metrics, and system reliability assessments to senior stakeholders including executive leadership; translate technical quality measures into business terms that explain what the platform can and cannot be trusted to doContribute to internal stakeholder where the platform’s evaluation approach and quality standards are explained; build confidence in the rigor of the platform’s deployment process through credible, evidence-based communicationStay current with emerging evaluation methodologies, responsible AI assessment frameworks, and AI-specific risk and safety approaches; lead knowledge sharing on evaluation best practices across the engineering teamAbout YouTechnicalDeep experience designing and running evaluations for LLM-based and agentic AI systems across the full delivery lifecycle, with a track record of building evaluation frameworks that actually change what shipsStrong understanding of systems integration evaluation, able to design tests that validate not just individual components but the correctness and coherence of the interfaces between them, including knowledge graph outputs, API contracts, and agentic context passingStrong Python proficiency; experience building automated evaluation pipelines, regression test suites, and scoring rubrics that integrate into CI/CD workflows and run without manual interventionStatistical reasoning and experimental design: able to design experiments that measure system quality rigorously, interpret results without over-reading noise, and surface root causes of quality failures to engineering teamsFamiliarity with knowledge graph and ontology evaluation, understanding what entity resolution correctness, taxonomy consistency, and semantic layer quality mean in practice and how to measure them programmaticallyExperience with human-in-the-loop annotation and feedback systems; familiarity with preference learning, data labelling strategies, and feedback collection methodologies for LLM and agentic applicationsUnderstanding of security, audit, and compliance requirements for evaluation infrastructure: how to handle sensitive client data in evaluation pipelines, what audit trails need to capture, and how eval integrates with platform security controlsNative AI fluency: active use of AI-assisted coding tools (Cursor, Claude Code, or equivalent) and demonstrated ongoing development of evaluation methodology as the field evolvesDemonstrated commitment to responsible AI practices: risk assessment, bias and fairness evaluation, AI safety principles, and familiarity with AI-specific risks including prompt injection, data leakage, and agentic workflow exploitationExperience8 or more years in AI engineering, ML engineering, or applied AI roles with significant hands-on building responsibilitiesTrack record of building and owning evaluation frameworks for production AI or ML systems, not just contributing to evaluation, but defining the standards, building the infrastructure, and enforcing deployment gatesExperience evaluating systems that span multiple components and integration points, not just model-level evaluation but system-level evaluation across data pipelines, APIs, and agentic workflowsExperience working with or alongside knowledge graph, ontology, or semantic data teams is a strong advantageDirect experience engaging with clients or senior business stakeholders in a technical capacity, presenting quality findings, advising on system reliability, or contributing to client-facing deliveryExperience working in agile, cross-functional product or consulting-adjacent environments; strong troubleshooting and root cause analysis skillsEducationAssociate’s degree / Bachelor’s degree in computer science, engineering, mathematics, or a related technical field; or an equivalent combination of education, training, and experienceU.S. Compensation InformationCompensation for this role includes base salary, annual discretionary performance bonus, 401(k) plan with an annual employer contribution based on years of service and Bain’s best in class benefits package (details listed below).Some local governments in the United States require a good-faith, reasonable salary range to be included in job postings for open roles. The estimated annualized compensation for this role is as follows:In Massachusetts, the good-faith, reasonable annualized full-time salary range for this role is between $198,250 – $237,500; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill levelIn Illinois, the good-faith, reasonable annualized full-time salary range for this role is between $189,500 – $227,000; placement within this range will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill levelAnnual discretionary performance bonusThis role may also be eligible for other elements of discretionary compensation4.5% 401(k) company contribution, which increases after 3 years of service and is 100% vested upon start dateBain & Company’s comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheckGenerous paid time off, including parental leave, sick leave and paid holidaysFully vested 401(k) company contributionPaid Life and Long-Term Disability insuranceFor all other locations, the good-faith, reasonable annualized full-time salary range for this role is commensurate with competitive geographic market rates for this role and will vary based on several factors including, but not limited to experience, education, licensure/certifications, training and skill level.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.Go back

P1C3TSTSEstablish and accepts responsibility for engineering practices across teams for example thecode review, build and release process and the effectiveness of the retrospectiveEmpower teams to automate demand driven scalable application deployments in test orproduction environmentsApply specialized knowledge of industry standards or practices to assigned initiatives toidentify complex and or broad problems and issues and formulate recommendations Collaborates with leadership across teams to define solutions, technical implementation todrive software maturity and practicesPeople Leader to software engineering team, including colleagues and contractors, dottedline leadership to sr. engineering colleagues in team(s)Promote, empower, and practice servant-leadershipNurture an environment of continuous engineering improvement through mentoring,feedback, and metricsTake accountability for the technical maturity of the team Mentor and guide team members to success; identify strengths and areas for growth indirect reports and guides them to grow in their careers while being more productive on theteamHire top talent for the teamEssential Criteria – Education & ExperienceBachelor’s Degree in computer science, computer science engineering, or related experiencerequired; advanced degree preferre5+ years of active engineering – Experienced with Kotlin / Java2+ years leadership experience in a complex technical environment and/or comparableexperienceSuccessful design, creation and deployment of one or more enterprise-grade technologyassets, including integration of cross-platform solutions in an Agile product environmentExperience with agile software development methodologies and practices such asScrum/Kanban, iterations, user stories Experienced ability to set priorities and multi-task in a fast-paced environment.Hands on experience with automation testing and documentation (i.e. automated,functional, and performance)Essential Criteria – Technical SkillsDeep knowledge and experience in programming, testing, and application design formicroservices using Java 17 and above or Kotlin, Spring and build automation with Gradle.Observability – Logging, Monitoring & Alerting Strategy & Implementation using industrystandard frameworks like SentryDeep Knowledge of cloud and CI/CD technologies, and how to get code into productionquickly and reliably with Github actions, CircleCIJob SummaryJob number: P-101945Profession: OtherExperience: 10-15Years

This job is with Fitch Group, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Data Analytics – Senior Associate – Conversational Analytics The Chief Data Office (CDO) is seeking a Senior Associate to join the Enterprise Data & Analytics team in our London office. This role suits an early-career technology enthusiast who can be productive quickly, someone with strong fundamentals and some hands-on experience (through industry roles, internships, or substantial project work) and the ambition to take ownership in a fast-moving analytics and AI environment. The Enterprise Data & Analytics team reports to the Chief Data Officer and supports decision-making across Fitch Group through insights, analytics, and data-driven solutions. The team operates globally, with colleagues in London and New York, and builds capabilities that help business units drive revenue growth, product innovation, productivity gains, and stronger business performance. Within this global function, you will join the team scaling our conversational analytics capability – taking a proven approach and extending it across a growing number of dashboards, partnering closely with each dashboard's product owner along the way. What We Offer: • High ownership from day one, with clear goals and access to experienced colleagues for targeted support and review., • The opportunity to contribute to high-impact analytics and reporting initiatives that support decision-making across Fitch Group., • A supportive, collaborative environment with access to experienced colleagues across a global function., • Exposure to a broad range of stakeholders, data sources, and business questions. What you’ll work on (indicative, not exhaustive): • Agentic AI Workflows – Build and iterate on an already-established prototype that lets users interact with our data and dashboards through natural-language conversation., • AI-Ready Data – Partner with dashboard product owners to shape their dashboards into an AI-ready form the agent can query cleanly and reliably., • Semantic Layers & Ontologies – Contribute to semantic models (metrics, definitions, and metadata) so a given metric means the same thing everywhere it's asked about, however the question is phrased., • Knowledge Base Authoring – Author and maintain the knowledge base that tells the agent how to answer questions correctly for each dashboard., • Agent Routing – Develop the orchestration logic that routes user prompts to the correct dashboards and data as the AI-ready dashboard estate grows., • Testing & Quality – Test each newly onboarded dashboard for accuracy and correct permissioning before it goes live, and help build repeatable checks the team can reuse for every future dashboard., • Evaluation & Benchmarking – Help define evaluation criteria — accuracy, latency, cost, and user impact — to support decisions on what to scale. What You Need to Have: • A degree in Computer Science, Data Science, Mathematics, or a related discipline (or equivalent practical experience), plus evidence you can deliver in real-world settings (e.g., 1–3 years experience, internships, or substantial end-to-end projects)., • Genuine curiosity about AI, LLMs, and the evolving analytics landscape, and enthusiasm for driving AI-led initiatives forward., • A genuine interest in data: how it's modelled, joined, structured, and optimised — and the judgement to think about what "good" looks like in a data model., • Strong interpersonal and communication skills. You'll be working directly with dashboard product owners across the business, so you need to be comfortable running conversations, asking good questions, and keeping people engaged., • Ability to work independently: you can scope tasks, manage your time, and make pragmatic trade-offs to deliver value with minimal supervision. What Would Make You Stand Out: • Understanding of data modelling concepts, metadata management, or semantic layers., • Exposure to conversational AI, LLM-powered tools, or agent-based workflows., • Experience with MCP connections., • Familiarity with BI platforms (e.g., Qlik, Power BI, Tableau)., • Familiarity with version control (Git)., • Familiarity with SQL – helpful for reasoning about data models, but not essential. Why Fitch? At Fitch Group, the combined power of our global perspectives is what differentiates us. Our global network of colleagues comes together to accomplish things greater than they ever could alone. Every team member is essential to our business and each perspective is critical to our success. We embrace a diverse culture that encourages a free exchange of ideas, guaranteeing your voice will be heard and your work will have an impact, regardless of seniority. We are building incredible things at Fitch and we invite you to join us on our journey. Fitch Group is a global leader in financial information services with operations in more than 30 countries. Wholly owned by the Hearst Corporation, we are comprised of three main businesses: Fitch Ratings | Fitch Solutions | Fitch Learning. For more information please visit our websites: | | _ Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch’s credibility and reputation, our employees must take every precaution to avoid conflicts of interests or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch Group is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law

This job is with EBRD, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Requisition ID37081Office CountryUnited KingdomOffice CityLondonDivisionBanking SectorsContract TypeFixed Term Contract Length2 years Posting End Date22/10/2026 Purpose of Job The Analyst of the FI Project Development and Implementation Team (FI PDI) is responsible for origination and implementation of Technical Co-operation and Co-investment grants mobilised for the Financial Institutions Business Group (FIBG)’s operations. The Analyst may be responsible for a number of facilities/programmes that the FIBG may be deploying, both standardised and bespoke blended finance programmes. They support the design and approval of those programmes and then ensure integrity and consistency of the facilities/programmes’ implementation. They also manage and/or oversee implementation of TC programmes/projects, sometimes with the support of senior officers. This position is envisaged to primarily focus on supporting the programme structuring and origination and data management activities of the team (particularly of donor-required portfolio and programme data). The FI Project Development and Implementation Team (FI PDI) oversees implementation of a portfolio of over EUR 3 billion of active donor funds and is responsible for mobilisation, administration and overall management of donor funds throughout projects life-cycle, including internal and external reporting. The Team ensures that donor funds are mobilised, committed, deployed and reported upon in an efficient, accurate and transparent manner, applying the highest professional standards, given the fiduciary duty that the Bank assumes vis-à-vis Donors’ funds. Accountabilities & Responsibilities Programme origination and development: • Support the origination, design, and development of assigned FI donor funded programmes, while supporting implementation of the FI Strategy via partner financial institutions (PFIs). This may include undertaking research of the scale and nature of the issues that programmes would address in a given country or region, other MDB’s experience and best practices; drafting relevant funding proposals; developing pitch documentation or other visual media (e.g. PowerPoint) and ensuring feasibility of programme execution and reporting frameworks in the context of FI PDI methodologies and other Bank systems and processes., • Support, under the oversight of the Associate Director, Development Leader, the donor resources mobilisation process within the FI PDI mandate and scope by drafting concept papers, fiches, communications, presentations, and other fundraising documents aimed at pitching or articulating FI programmes requiring donor funded concessional finance; attending and contributing in donor meetings., • In cooperation with respective Bank departments, Programme Leads, and transaction teams, support comprehensive individual programme deployment and implementation throughout project cycle from contracting of newly raised funding to facilitating execution and providing pro-active guidance and support to problem-solving as required. Donor Portfolio Management, Analytics and Coordination • Maintain and monitor FI-related donor funding pipelines, portfolio data, and programme tracking tools to support strategic planning and resource mobilisation activities., • Produce data analysis, dashboards, visualisations, and management reports to inform decision-making and stakeholder engagement., • Coordinate with internal stakeholders, including DP, CSD, G&EI and operational teams, to ensure timely collection, validation and reporting of donor and portfolio information., • Support donor portfolio oversight through performance monitoring, data quality assurance, portfolio reviews, and preparation of briefing materials for senior management and external partners. If necessary, feed any lessons learned from these reports into changes about the way PFIs are requested to provide information for enhanced impact and results management. Manage or support blended finance Facilities/Programmes (as required) • Lead Grant Review process, • Lead or support fundraising, drafting and negotiating with donor especially on budget and results, • Support procurement of consultants needed to implement the Facilities with PODD advisor, • Support FI and TC OLs in managing consultants, • Prepare TCRS or contribute to aggregated result reporting, • Prepare bespoke donor progress updates and reports and any other information needed for presentation to donors at Steering and Monitoring Committee Meetings under Facilities/Programmes, • Monitor deployment of the Facilities, • Process incentives payments and ensure that all payments are performed as per the loan agreement and in line with the donors’ requirements, as well as allow future auditing of the funds, • Respond to all queries related to Facilities/Programmes as far donor funding is concerned, • Ensure that implementation is in line with Blended Finance Guidelines, • Comment on investment documentation related to the Facilities/Programmes, • Managing donors’ evaluation and audit processes of Facilities/Programmes Other responsibilities • Actively participate in Bank-wide exercises requiring FI PDI involvement;, • Work closely with FI members and other teams and units across the Bank dealing with donor-funded instruments and administration of grants for coordination and knowledge-sharing. Knowledge, Skills, Experience & Qualifications • Bachelor’s degree in international development, international relations, economics, finance, social science or a related discipline is desirable but not essential;, • Relevant work experience, including experience working on blended finance projects in an international financial institution or donor organisation on fundraising, product structuring, and/or programme management;, • Excellent written and verbal communication skills in English, including the ability to structure complex and scattered information from multiple sources into clear, concise and compelling proposals and other relevant outputs for different audiences - essential;, • Strong presentation development skills, including the ability to deliver logically structured and visually effective PowerPoint materials for senior management and external audiences - essential;, • Strong research analysis and synthesis skills, with the ability to assess multiple information points from both internal and external sources, identify relevant insights and translate findings into relevant practical outputs, • Other numerical, analytical, data and information visualisation skills, in particular with MS365 suite are an advantage;, • Interest in and ability to use digital tools, including AI-enabled tools, in a responsible manner, is an advantage, • Excellent interpersonal (especially collaborative) and coordination skills; attention to detail and high degree of accuracy essential;, • Ability to take responsibility, work independently and proactively as a member of a team;, • Strong organisational and administrative skills, including the ability to adapt quickly to continuously changing priorities, learn on the job and deliver required outputs in time and high quality;, • Knowledge of Russian, French or Arabic would be useful but not essential. What is it like to work at the EBRD? / About EBRD Our agile and innovative approach is what makes life at the EBRD a unique experience! You will be part of a pioneering and diverse international organisation, and use your talents to make a real difference to people's lives and help shape the future of the regions we invest in. At EBRD, our Values – Inclusiveness, Innovation, Trust, and Responsibility – are at the heart of how we work. We bring these to life through our Workplace Behaviours: listening well and speaking up, collaborating smartly, acting decisively with full commitment, and simplifying to amplify our impact. These principles shape our culture and define our success. We seek individuals who not only share these values but are also committed to embedding them in their daily work, fostering a positive and high-performing environment. The EBRD environment provides you with: • Varied, stimulating and engaging work that gives you an opportunity to interact with a wide range of experts in the financial, political, public and private sectors across the regions we invest in., • A working culture that embraces inclusion and celebrates diversity. Our workforce reflects a broad range of backgrounds, perspectives, and experiences, bringing fresh ideas, energy, and innovation and enhancing our ability to serve our clients, shareholders, and counterparties effectively., • A hybrid workplace that offers flexibility to teams and individuals; that is based on trust, flexibility and connectedness., • An environment that places sustainability, equality and digital transformation at the heart of what we do., • A workplace that prioritises employee wellbeing and provides a comprehensive suite of competitive benefits. Diversity is one of the Bank’s core values which are at the heart of everything it does. As such, the EBRD seeks to ensure that everyone is treated with respect and given equal opportunities and works in an inclusive environment. The EBRD encourages all qualified candidates who are nationals of the EBRD member countries to apply regardless of their racial, ethnic, religious and cultural background, gender, gender identity, sexual orientation, age, socio-economic background or disability. Please note, that due to the high volume of applications received, we regret to inform you that we are unable to provide detailed feedback to candidates who have not been shortlisted (for further consideration).

This job is with Booking.com, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Us: At Booking.com, 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. Leadership/Team Quote: Booking.com's Fintech team is pivotal in developing scalable, compliant, and innovative solutions to support our partners and ensure adherence to global regulatory frameworks. Within this team, the RegTech function is responsible for creating and maintaining the technical architecture that underpins critical processes such as Know Your Customer (KYC), Proof of Address (POA), and Know Your Business (KYB). We are seeking a Senior Commercial Associate - RegTech with regulatory compliance experience, either within commercial operations in Financial Services or within Sales/Account/Project management. You will support the Senior Commercial Manager and work closely with Product and Tech teams to ensure seamless partner experiences and operational excellence. Role Description: As a Commercial Associate - RegTech, you will play a supporting role in managing key partner relationships, acting as advisor on compliance requirements, collaborating with cross-functional teams to enhance systems and processes that support partner verification and compliance. This role requires an understanding of KYC/KYB, Screening and other SAAS Compliance tools. Specific regulatory knowledge of PSD3, AMLR/AMLA and EIDAS 2.0 within the EEA context is highly desirable. The ability to support the management of numerous stakeholders (internal and external) with competing priorities; is key to success in this role. Key Job Responsibilities and Duties: Provide support to the Senior Commercial Manager liaising with (e.g., RegTech, Supplier Fraud Teams) and external vendors to optimize KYC, POA, and KYB solutions, and other Financial Crime solutions, ensuring regulatory compliance Determine and support the input and outputs of a variety of POCs (Proof of Concepts) with prospective vendors - including detailed dat analysis Support the execution and development of commercial strategies with vendors to achieve cost optimizations, expand services, and support Booking.com's long-term objectives Support the management of commercial contracts, vendor exploration, Proof-of-Concept documentation and Project Management Understanding of compliance frameworks, particularly within the UK, EEA and the Americas, with a keen interest in regulatory compliance changes and divergence across markets Analyze vendor performance against SLAs to drive improvements and decisioning Identify and mitigate potential compliance risks to ensure robust and secure systems and processes Qualifications & Skills: Experience: 5+ years in compliance operations, Sales, account management, or technical Project Management, preferably in the Fintech, Banking and/or Regtech, Candidates must have experience working in a Regulated environment Data Science and Data Analytics experience - specifically in the Financial Crime space related to evaluation of Proof-of Concept results, and setting parameters for these tests Legal / commercial Contract skills ; experience with contract negotiations Technical Acumen: Familiarity with the technical architecture and solutions involved in KYC, POA, KYB and other Regtech solutions Compliance experience: Knowledge of regulatory requirements, particularly in sectors such as financial services, hospitality, or technology. Account Management Skills: Demonstrated ability to support complex partner relationships, service reviews, and align with business goals Data-Driven Approach: Analytical mindset with the ability to interpret performance metrics and drive data-informed decision-making Benefits & Perks - Global Impact, Personal Relevance: Booking.com's Total Rewards Philosophy is not only about compensation but also about benefits. We offer a competitive _, as well unique-to-Booking.com 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 Industry leading product discounts - up to 1400 per year - for yourself, including automatic Genius Level 3 status and Booking.com wallet credit Diversity, Equity and Inclusion (DEI) at Booking.com: Diversity, Equity & Inclusion have been a core part of our company culture since day one. This _ 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 Booking.com, 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 section should provide: Let's go places together: _ This role does not come with relocation assistance. Booking.com 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. Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

GBR Recruitment are working in partnership with a leading agricultural & groundcare machinery business, recruiting for x5 Trainee / Junior Engineers to complete a level 3 land based engineering diploma qualification & earn at the same time as completing practical & class room based training & studies. This is a great opportunity for someone who is passionate about getting into agricultural machinery engineering (tractors, combines, telehandlers etc) or groundcare machinery (ride on mowers etc.) to join a well known business that is highly respected in the agri & groundcare industry working on top end makes & models of machinery. If you have a level 2 qualification in HGV mechanics, automotive mechanics, mechanical engineering, land based engineering or maintenance & operations engineering or similar, then this could be ideal for you to develop your engineering career further. Duties / Activities: • The programme combines classroom learning, practical workshop training, workplace experience and industry-recognised qualifications, providing a fast-track route to becoming a highly skilled Land-Based Engineer and Certified Technician., • You will be learning how to service, maintain, diagnose and repair agricultural and groundcare, turf machinery and equipment., • You will gain hands-on the tools experience in the workshop, working alongside qualified technicians and gradually taking on more engineering responsibility as your skills and confidence develop further., • The programme combines depot-based learning with block release training at one of the specialist training centres, giving you the opportunity to apply your knowledge in a real working environment while developing a thorough understanding of the vast array of company products, systems and standards., • You will receive specialist training in diagnostics, precision technologies, machine optimisation and advanced repair techniques, supported by experienced mentors throughout their development. Application Requirements: • GCSEs: Maths, English Language and Science at Grade 4 (C) or above., • Alternative Qualifications: A relevant Level 2 engineering qualification, A-Levels, or another higher-level qualification in a related discipline., • Interest and Aptitude: A genuine interest in machinery, engineering and mechanical servicing, with a desire to learn, develop technical skills and pursue a career in the land-based engineering industry., • Employment experience: experience within agricultural machinery, mobile plant machinery, off-highway machinery, MHE machinery, telehandlers, forklifts, municipal machinery, HGV's, automotive or similar would be beneficial but not a must have. This could suit someone working as or who has worked as a Trainee Engineer, Maintenance Technician, Junior Engineer, Apprentice Engineer, Forklift Engineer, MHE Engineer, Mobile Plant Technician, Mobile Plant Engineer, Mechanical Engineer, Electricians Mate, Electrical Improver, Technical Operator, Groundcare Technician, Groundcare Engineer, HGV Technician, Mechanic, Workshop Engineer, Field Technician, Field Engineer, Garden Machinery Technician, Engineering Technician or similar. What ever your level of experience, as long as you have a passion for all things agriculture, farming or groundcare then apply today to explore things further. Interviews to take place immediately.

Crisil Integral IQ delivers solutions and analytics to top financial institutions, driving strategic transformation, risk optimization, and operational excellence. Our offerings across research, risk, lending, analytics and operations have empowered clients to navigate complex markets, mitigate risks, and unlock new opportunities. Our domain expertise, innovative solutions, and future-ready technologies such as AI and data science give clients the confidence to accelerate growth and achieve sustainable competitive advantage. Our globally diverse workforce operates in the Americas, Asia-Pacific, Europe, Australia and the Middle East. We are seeking an experienced C# Developer to join the risk technology team of one of our banking clients. In this role, you will be responsible for tasks across client’s banking arm and securities business. The risk technology team is responsible for designing, integrating and supporting Middle Office Risk systems in the organisation. The team supports both Market and Credit Risk management across EMEA, Noth America and Asia Pacific regions and is primarily focused on the production of various simulation-based measures used in managing risk and calculating economic capital. Main responsibilities: • Development and design of solutions for middle office risk management systems and related products., • Liaison with users in Risk Management and other related areas to gather requirements., • Production of clear technical scope and test documentation., • Coordinating of change control, includes software management, testing and production releases., • Providing user support, including responding to user queries and supplying resolutions and fixes to issues., • Liaison with third party suppliers of software used in middle office risk management systems., • Providing technical support and maintain production environments hosting middle office risk management systems. Skills required: • Experience of large scale software projects implemented in C# .NET and MS SQL Server., • Experience interacting with quantitative users to resolve complex business problems., • Experience working within a Middle or Front Office Risk Technology team or equivalent role in finance., • Experience of credit and market risk reporting; PV, Sensitivity, Stress, VAR, P&L Rec, PFE, Credit utilisation., • Experience with Markit Financial Risk Analytics., • Experience with Microsoft HPC Server, Grid and Cloud Computing., • Web Development with ASP .NET and MVC, • Continuous integration with TeamCity, • Knowledge of Microsoft Azure. What we offer: • Stable Employment in an International Company : Be part of a globally recognized organization that values stability and growth., • Secure Employment Contract : Enjoy the peace of mind that comes with a solid employment contract., • Comprehensive Benefits Package., • Flexible Hybrid Work Model : Experience the best of both worlds with our hybrid work model, allowing you to work from the office just 3 times a week and enjoy the flexibility of remote work the rest of the time., • Employee Referral Program : Help us grow our team and get rewarded through our Employee Referral Program., • Education Reimbursement Policy : Invest in your future with our education reimbursement policy, supporting your continuous learning and professional development., • Career Development Opportunities : Explore numerous internal and external opportunities to advance your career within the Finance Domain. We are committed to your growth and success. "The controller of your personal data is Crisil Irevna Poland Sp z o.o., with its registered office in Wroclaw, 50-073, ul. Św. Antoniego 2/4 (hereinafter referred to as the "Controller"). Personal data will be processed for the purpose of recruiting for the position you are applying for and for the future recruitment processes, in accordance with Article 221 of the Labor Code and Article 6(1)(b) of the GDPR. You have the right to access, rectify, erase, limit processing, object, and transfer your data. Providing data is required within the scope specified in Article 221 § 1 of the Labor Code (name, surname, dates of birth, education, employment history, skills) and no additional consent under the GDPR is required." By clicking the "Apply" / "Apply now" button or otherwise sending a recruitment application to Crisil Irevna Poland Sp. z o.o., you agree that the company will be processing your personal data contained in the recruitment application in order to recruit for the position indicated in the announcement as well as for the other future job vacancies. Your data collected in the current recruitment process will be stored until the recruitment process is completed. If you have given your consent for the use of personal data for future recruitment purposes, your data will be used for 9 months. By clicking "Apply" you agree as well on processing your personal data included in the job offer by CRISIL Irevna Poland Sp z o.o. or any other entity of the CRISIL group for recruitment purposes and once the recruitment process is closed, you agree that CRISIL Irevna Poland Sp. z o.o. with its registered seat in Wroclaw, 50-073, ul. Św. Antoniego 2/4 or any other entity of CRISIL group places and processes your personal data in its database. You also express your consent to sending your personal data to third parties within CRISIL group pursuant to the European Parliament's and Council of the European Union Regulation on the Protection of Natural Persons as of 27 April 2016, with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC.

SMBC: A trusted partner for the long term Here at SMBC Group, we want to help you find the next step in your career so read on to discover if this opportunity is the one for you. We like to recognise potential in our people, so we welcome your application even when your experience doesn't perfectly align with the job description. Whilst we'll always strive to be better, we're proud of our inclusive culture, and encourage our applicants and colleagues to be their authentic, unique selves. Who we are United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, SMBC Group has an international growth agenda and award-winning products, meaning we provide exciting opportunities to work on a diverse range of projects and initiatives. We deliver a full suite of corporate finance products and solutions to our customers as well as investment banking and advisory services, and a range of innovative solutions in global capital markets. Read on to find out how you could enhance your skills and gain valuable experience, by joining us to support our clients transition to a sustainable future. About the role SMBC are seeking a highly experienced and delivery-oriented squad lead (technical product owner) to join our team in corporate and investment banking (primary and secondary markets) IT. This role needs to be a leader with strong delivery experience of technical data platforms and projects. They need the ability to influence stakeholders inside and outside our Data and Analytics Platforms team. The ideal candidate will work with teams across the ITSD department, HR department locally, and teams across the SMBC group. Responsibilities • Responsible for effective and efficient running of Software Development Scrums consisting of Architects, BAs, Developers, Testers, Physical Data Modellers, Data Governance and other stakeholders. The scrums will deliver change as required by business initiatives/projects prioritised by the change committee., • Lead the design and delivery of scalable data platform capabilities (e.g., data pipelines, storage, and processing frameworks), ensuring alignment with strategic architecture and investment objectives., • Lead squad delivery so it understands goals, scope, estimates and burndown charts of each iteration., • Own and prioritise the squad backlog to deliver new data ingestion, transformation, and integration features, enabling the build-out of reusable enterprise data assets to meet business requirements., • Own backlog for managed squads and agree prioritisation with senior stakeholders., • Drive implementation of data platform enhancements, including automation, performance optimisation, and integration with downstream systems, to expand platform capability and support future use cases., • Identification of and remove obstacles so that the team members can focus on their immediate tasks., • Lead stakeholders comms via direct communications, tailored reports and JIRA dashboards., • Escalate any serious challenges to scope, timelines and budget to senior management., • Work within a Scrum of Scrums structure with other scrums across the Data & Analytics Platforms team and other business aligned IT delivery teams., • Escalate any issues to Head of Data and Analytics Technology for EMEA. Experience - Essential • Broad experience of delivering technical data solutions in large enterprises in a similar role., • Experience of Core Agile methodology experience (Scrum, Scrum of Scrums), including:, • Running Scrum ceremonies: Sprint Planning, Daily Stand-ups, Sprint Reviews, and Retrospectives., • Ensures meetings are productive and time-boxed., • Educates the team and stakeholders on Scrum principles and Agile practices., • Helps the team improve continuously and adopt Agile mindsets., • Supports the team by removing obstacles and enabling progress., • Experience with using Atlassian JIRA, • Understanding of Data Governance practises and subsequent requirements on IT delivery., • Ability to handle communications at all levels from across the whole business, • Excellent analytical and problem-solving skills, • Ability to work collaboratively in a team environment, share ideas, and contribute to group discussions., • Attention to detail and a commitment to producing high-quality work with a focus on accuracy and precision., • Proven ability to work independently on large scale projects while contributing effectively in a collaborative team environment. Experience - Desirable • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Or equivalent., • Exposure to concepts like Data Lakehouse and Medallion Architecture, especially with Databricks as the underlying technology., • Capital markets, asset management, or corporate banking financial institutions., • Familiarity with data governance and compliance regulations (e.g., GDPR, HIPAA, DORA)., • Knowledge of HR data and the sensitivities of how it should be managed and used across the enterprise., • Knowledge Corporate Investment Bank data and operations., • Knowledge of ESG data. What we offer For all the expertise and experience you bring to help us make a difference, it's only sustainable if we support you to build your career and be your best self so we offer competitive company benefits, centred around promoting positive well-bring and work-life balance. We also believe in fostering a diverse and inclusive work environment, where all team members perspectives and contributions are valued. Initiatives in place which promote a diverse and inclusive culture and healthy work life balance include hybrid working, Sport & Social Clubs and Diversity and Inclusion networks. As an employee of SMBC you have access to a host of both useful and exciting benefit offerings. See below some of the benefits on offer to you: • Hybrid and flexible working, • Competitive paid leave days, • Benefits to support your physical wellbeing, including private medical insurance and life and invalidity insurance, • Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services, • Access a wide range of learning and development opportunities and career progression opportunities, • Ambitious remuneration package So, if you like a challenge and want to continuously grow and develop in a role where you will be supported along the way by a dynamic and diverse team, apply today!! We recognise our role as a bank to support social change and welcome all applications, including those from groups often under-represented in financial services. We value the uniqueness of professional and personal, backgrounds and perspectives as they play a vital role in continuing the sustainable growth of our organisation. We'll ensure reasonable adjustments to our recruitment process are offered due to a disability or long-term condition whenever requested. About SMBC A trusted partner for the long term United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, we deliver a full suite of corporate finance products and solutions to our customers, including corporate, structured and trade finance, leveraged finance, loan market and treasury products. We can also provide investment banking and advisory services and a range of innovative solutions in global capital markets. Find out more about what we do and who we are at https://www.smbcgroup.com/emea/careers Find out more

SMBC: A trusted partner for the long term Here at SMBC Group, we want to help you find the next step in your career so read on to discover if this opportunity is the one for you. We like to recognise potential in our people, so we welcome your application even when your experience doesn't perfectly align with the job description. Whilst we'll always strive to be better, we're proud of our inclusive culture, and encourage our applicants and colleagues to be their authentic, unique selves. Who we are United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, SMBC Group has an international growth agenda and award-winning products, meaning we provide exciting opportunities to work on a diverse range of projects and initiatives. We deliver a full suite of corporate finance products and solutions to our customers as well as investment banking and advisory services, and a range of innovative solutions in global capital markets. Read on to find out how you could enhance your skills and gain valuable experience, by joining us to support our clients transition to a sustainable future. Role Summary We are seeking an experienced AVP-level ESG Technical Business Analyst to support delivery of complex regulatory change initiatives, with a focus on CRD VI (Capital Requirements Directive VI) and CSDR (Central Securities Depositories Regulation) as well as supporting BAU activities. This role acts as a key bridge between ESG subject matter experts, data teams, and technology delivery, ensuring that ESG business requirements are accurate, regulatorily aligned, and translated into scalable, data-driven solutions. It combines business analysis, data analysis, and solution design, requiring both regulatory understanding and strong technical capability. You will consume ESG business requirements, validate them against relevant regulations, and translate them into optimal solution designs, data models, and delivery backlogs, leveraging strong analytical and technical skillsets. The anticipated salary range for this role is £70,000 - £106,000 with the final offer determined based on the candidate's skills, experience, role scope, location, and relevant market factors. In addition to base salary, the role may be eligible for a discretionary incentive award and a competitive benefits package, including core benefits such as pension provision. Business Area IT & Security Planning Department (ITSD) Position Description Key Responsibilities: • Work closely with ESG SMEs to understand, refine, and challenge business requirements related to CRD VI and CSDR., • Validate requirements against regulatory frameworks, ensuring accuracy, completeness, and auditability., • Identify and resolve gaps, inconsistencies, and ambiguities to ensure robust regulatory alignment., • Translate validated requirements into functional specifications, technical designs, and delivery artefacts., • Design efficient, scalable solutions with a strong focus on data architecture, flows, and controls., • Break down requirements into epics, user stories, and acceptance criteria, ensuring readiness for Agile delivery., • Define and structure the delivery backlog, aligned to regulatory deadlines and business priorities., • Develop reports, design and implement calculations, and build prototypes for analytical and business solutions., • Perform detailed data analysis to support ESG regulatory requirements, including: o Data sourcing, profiling, and reconciliation o Identification of data gaps and quality issues o Definition of transformation and enrichment logic • Define ESG-related data models, mappings, and lineage, particularly for CRD VI reporting and CSDR settlement metrics., • Ensure adherence to data governance, controls, and traceability standards., • Leverage analytical tools and technologies such as: o Advanced Excel (data modelling, complex formulas, pivot tables) o SQL (data extraction, querying, validation) o Python and/or R (data analysis, transformation, automation, prototyping) • Partner with data engineering teams to ensure accurate implementation of data requirements., • Collaborate with architecture and engineering teams to define optimal solution designs, including: o Data pipelines and integration patterns o Reporting and analytics solutions o System enhancements or new platform capabilities • Contribute to design decisions, ensuring solutions are scalable, maintainable, and aligned with enterprise architecture., • Produce process flows, data flow diagrams, and solution design documentation., • Support end-to-end delivery across Agile / SDLC frameworks, from requirement validation through to implementation and testing., • Work closely with QA and business teams to support UAT, test case definition, and validation., • Ensure clear traceability from business requirement → regulatory requirement → data logic → system implementation., • Act as a liaison between ESG teams, compliance, risk, operations, data, and technology teams., • Clearly communicate data insights, design decisions, and trade-offs to both technical and non-technical stakeholders., • Participate in governance forums and provide transparent updates on progress, risks, and dependencies. Required Qualifications and Skills • 5+ years of experience in data analysis and technical business analysis within financial services, with strong capabilities in technical requirements gathering, data architecture, and database related design., • Strong working knowledge of: o CRD VI / CRR frameworks, including ESG integration o CSDR, particularly settlement discipline and reporting • Good understanding of broader ESG regulatory landscape (e.g., Pillar 3 ESG, SFDR, EU Taxonomy)., • Proficiency with: o Excel (advanced) for modelling and analysis o SQL for querying and validating large datasets o Python and/or R for data analysis, transformation, and automation • Experience working with: o Data models, data lineage, and mapping o Regulatory reporting datasets and systems • Ability to combine data-driven insights with business and regulatory understanding., • Proven ability to: o Translate business requirements into technical designs and delivery artefacts o Produce high-quality documentation (BRDs, FRDs, user stories, process maps, data flows) • Strong experience in Agile delivery environments, including backlog ownership and story refinement., • Solid understanding of: o SDLC and testing lifecycle o Requirements traceability and governance o ESG requirements and Sustainability strategy. Personal Attributes • Excellent communication and stakeholder engagement skills., • Ability to challenge constructively and influence across business and technology teams., • Strong analytical and problem-solving mindset with a risk- and control-focused approach, applying judgement consistent with regulatory and governance standards., • Strong solution design mindset with focus on optimisation and scalability., • High attention to detail and strong commitment to accuracy, quality, and risk integrity., • Proactive and self-driven, with a strong sense of ownership and accountability., • Team player who works well across Risk and Technology functions in a highly governed environment., • An individual who can work collaboratively with multiple support teams on emerging issues., • An individual with a positive, approachable personality who can build strong rapport with colleagues, foster a supportive team environment, and interact kindly and respectfully with everyone. Nice to Have • Exposure to ESG Risk and Reporting frameworks, data, metrics, and evolving regulatory expectations., • Experience in risk data validation, reconciliation, and lineage analysis, using SQL or equivalent analytical tools., • Experience developing reports, coding and prototyping analytical solutions., • Experience in Regulatory programme delivery and large-scale data platforms., • Experience implementing analytical solutions within regulatory or ESG data environments., • Knowledge of external emissions and environmental data providers. Education and Certifications • Bachelor's degree in finance, Economics, Computer Science, Data Science, or related discipline., • Desirable certifications: o ESG (e.g., CFA ESG Certificate) o CFA / FRM o Business Analysis (e.g., CBAP, Agile BA) o Data/analytics certifications (e.g., Python, SQL) Competencies Customer Focus Driving Change Driving Results Embraces Diversity Enterprise Leadership Judgement and Decision Making Risk Management Strategic and Visionary Trust and Integrity What we offer For all the expertise and experience you bring to help us make a difference, it's only sustainable if we support you to build your career and be your best self so we offer competitive company benefits, centred around promoting positive well-bring and work-life balance. We also believe in fostering a diverse and inclusive work environment, where all team members perspectives and contributions are valued. Initiatives in place which promote a diverse and inclusive culture and healthy work life balance include hybrid working, Sport & Social Clubs and Diversity and Inclusion networks. As an employee of SMBC you have access to a host of both useful and exciting benefit offerings. See below some of the benefits on offer to you: • Hybrid and flexible working, • Competitive paid leave days, • Benefits to support your physical wellbeing, including private medical insurance and life and invalidity insurance, • Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services, • Access a wide range of learning and development opportunities and career progression opportunities, • Ambitious remuneration package So, if you like a challenge and want to continuously grow and develop in a role where you will be supported along the way by a dynamic and diverse team, apply today!! We recognise our role as a bank to support social change and welcome all applications, including those from groups often under-represented in financial services. We value the uniqueness of professional and personal, backgrounds and perspectives as they play a vital role in continuing the sustainable growth of our organisation. We'll ensure reasonable adjustments to our recruitment process are offered due to a disability or long-term condition whenever requested. We are committed to transparent and equitable pay practices. Compensation is determined using objective criteria, including skills, experience, and role responsibilities, and applied consistently throughout our recruitment processes. We do not request candidates' pay history and are committed to preventing unjustified pay disparities. About SMBC A trusted partner for the long term United by a sense of purpose towards our customers - to be a trusted partner for the long-term - and our universal banking platform in EMEA, we deliver a full suite of corporate finance products and solutions to our customers, including corporate, structured and trade finance, leveraged finance, loan market and treasury products. We can also provide investment banking and advisory services and a range of innovative solutions in global capital markets. Find out more about what we do and who we are at https://www.smbcgroup.com/emea/careers Find out more

Over the last 20 years, Ares’ success has been driven by our people and our culture. Today, our team is guided by our core values – Collaborative, Responsible, Entrepreneurial, Self-Aware, Trustworthy – and our purpose to be a catalyst for shared prosperity and a better future. Through our recruitment, career development and employee-focused programming, we are committed to fostering a welcoming and inclusive work environment where high-performance talent of diverse backgrounds, experiences, and perspectives can build careers within this exciting and growing industry.Job DescriptionSummaryAres is seeking an Assistant Vice President, Senior Full Stack Engineer to support the design, development, and delivery of technology solutions powering the firm’s global credit investment platform. Reporting to the VP, Credit Engineering Lead, this role will serve as a senior individual contributor within the Credit Technology Engineering team, responsible for building scalable applications, APIs, data services, and platform capabilities across the credit investment lifecycle, including deal origination, underwriting, portfolio monitoring, risk management, and investment analytics. This is a highly hands-on engineering role. The successful candidate will be expected to contribute directly to software development while partnering with the Credit Engineering Lead on technical design, implementation standards, platform modernization, and software delivery best practices. The ideal candidate will bring strong experience building enterprise-grade applications within financial services environments, with expertise in modern full-stack development, cloud-native architectures, microservices, data platforms, messaging systems, and software engineering best practices. Experience supporting credit investment, lending, portfolio management, or alternative asset management platforms is strongly preferred. This individual will collaborate closely with Product Management, Credit Investment Professionals, Portfolio Management teams, Investment Operations, Data & AI teams, and broader Investment Technology stakeholders to deliver scalable, resilient, and high-performing technology solutions that support the firm’s growing credit business. Primary Functions & Responsibilities:Hands-On Software Engineering Design, develop, test, deploy, and support software solutions supporting credit investment workflows. Contribute across front-end, backend, integration, and data layers. Build and maintain APIs, services, and user-facing applications supporting investment workflows. Participate actively in code reviews, design reviews, troubleshooting, and production support activities. Drive implementation of scalable and maintainable software solutions aligned with engineering standards. Technical Design & Solution Architecture Partner with the VP, Credit Engineering Lead on architecture, system design, and technology decisions. Design application components supporting distributed and microservices-based architectures. Contribute to technical roadmaps and platform modernization initiatives. Evaluate new technologies, frameworks, and development patterns. Ensure solutions meet requirements for scalability, performance, resiliency, security, and maintainability. Application Development & Technology Delivery Develop capabilities across credit deal management platforms, portfolio management solutions, credit analytics platforms, workflow automation solutions, investment data services and APIs, and reporting and analytics platforms. Support technology solutions for deal sourcing and pipeline management, underwriting workflows, investment committee processes, portfolio monitoring, risk analytics, investment reporting, and investment data management. Work with the Credit Engineering Lead to break down technical deliverables, estimate work, and execute delivery plans. Cloud & Platform Engineering Build and deploy applications utilizing cloud-native technologies. Implement containerized solutions leveraging Kubernetes and cloud platform services. Develop platform observability, logging, monitoring, and operational support capabilities. Support modernization initiatives focused on automation, scalability, resiliency, and operational efficiency. Integration & Event-Driven Architecture Design and develop APIs and integration services. Build solutions utilizing messaging, event streaming, and asynchronous processing patterns. Support integration across investment platforms, reporting platforms, operational systems, and enterprise data environments. Partner with Data & AI teams to support high-quality data flows, analytics, and reporting capabilities. Software Development Lifecycle & Engineering Excellence Participate in all phases of the software development lifecycle. Contribute to CI/CD pipelines, automated testing frameworks, release management processes, and deployment standards. Maintain high standards for code quality, testing, documentation, and operational support. Support implementation of DevOps practices, engineering controls, and continuous improvement initiatives. Technical Leadership & Collaboration Mentor Associate and Analyst software engineers through code reviews, design guidance, and technical coaching. Serve as a senior technical contributor across development initiatives. Collaborate closely with Product Management, Investment Technology, and business stakeholders. Promote engineering excellence, ownership, accountability, and continuous improvement across the team. Education & QualificationsBSc in Computer Science or related field is required. Advanced degree preferred.Experience Required5-8 years of software engineering experience delivering enterprise applications. Experience contributing to large-scale software delivery initiatives. Experience developing software solutions within complex business environments. Experience operating within Agile software development organizations. Experience collaborating with cross-functional technical and business teams. Experience supporting production applications and participating in operational support activities. Financial services experience strongly preferred. Experience supporting investment management, capital markets, lending, credit, or alternative asset management platforms preferred. Experience mentoring developers or providing technical leadership across development initiatives. General Requirements: Technical Skills Advanced proficiency in Java and modern backend development frameworks. Strong proficiency in React and TypeScript. Strong experience with relational and non-relational databases. Strong understanding of APIs, integration patterns, and service-oriented architectures. Strong understanding of microservices and distributed systems. Experience implementing event-driven architectures. Experience with messaging and streaming technologies. Experience with cloud-native application development. Experience utilizing Kubernetes and containerized platforms. Software Engineering Excellence Strong understanding of software design patterns and engineering best practices. Experience with SDLC, CI/CD, automated testing, and DevOps tooling. Strong debugging, performance tuning, and troubleshooting capabilities. Strong focus on maintainability, quality, documentation, and operational excellence. Leadership & Collaboration Strong technical communication skills. Ability to mentor junior engineers through code reviews, design feedback, and technical guidance. Ability to influence technical decisions through subject matter expertise. Ability to collaborate effectively with engineering, product, and business teams. Strong ownership mentality, accountability, and delivery focus. Functional: Familiarity with DealCloud, or other pipeline management systems, credit systems such as Allvue. WSO is a big plus. Reporting RelationshipsGlobal Head of Investment TechnologyThere is no set deadline to apply for this job opportunity. Applications will be accepted on an ongoing basis until the search is no longer active.SummaryLocation: London, UKType: Full time

Beneath every major project lies a story waiting to be told. The sediments, soils and buried landscapes that geoarchaeology helps us understand are irreplaceable, and the consultants who can read them, record them and communicate their meaning play a vital role in how we deliver projects responsibly.At Stantec, we are growing our geoarchaeology capability, and we are looking for an early-career Geoarchaeological Consultant to join us as part of a wider archaeology and heritage team of over 30 professionals. This is a role with a genuine structured pathway, real mentorship and the kind of varied, hands-on experience that builds a strong foundation for a long career in geoarchaeological consultancy.About The RoleYou will support the delivery of geoarchaeological consultancy services across assessment, reporting, fieldwork and data interpretation, working under the guidance of our Geoarchaeology Lead as you develop towards independent practice.On the assessment and reporting side, you will compile and review geological, geomorphological, geotechnical, archaeological and environmental datasets, undertake background research, assist in the preparation of Geoarchaeological Potential Assessments and Desk-Based Assessments, and contribute to the development of conceptual and site-specific deposit models. You will prepare figures, GIS outputs, plans and tables, and draft factual and interpretative sections of technical reports.In the field, you will attend site visits and ground investigations, record and describe sediments, soils and stratigraphic sequences, compile field records and photographs, and support the monitoring of ground investigation and archaeological works as your training and authorisation develop.You will also contribute to data management and digital outputs, including GIS-based project information, digital mapping and deposit models, and will have the opportunity to get involved in developing digital and AI-enabled approaches to geoarchaeological assessment. A full UK driving licence is required, or must be obtained during your probationary period.Your ImpactThe geoarchaeological work you contribute to here will help ensure that buried landscapes and archaeological deposits are properly understood, appropriately assessed and sensitively managed across some of the UK’s most significant infrastructure programmes. That is work with real meaning, and it starts from day one.As your skills and confidence grow, so will the independence and complexity of what you take on. The progression pathway here is clear, supported and genuinely invested in, and we are committed to helping you become a confident, capable geoarchaeological practitioner.About YouYou hold an undergraduate degree in Archaeology, Geography, Geology, Earth Sciences or a related discipline, with a Master’s in Geoarchaeology, Environmental Archaeology, Quaternary Science, Geomorphology or a related subject preferred though not essential. You bring a dissertation, research, placement, or field experience in geoarchaeology, environmental archaeology, Quaternary science, or sedimentary analysis, and a genuine, demonstrable interest in buried landscape reconstruction and Quaternary environments.You are organised, curious and keen to learn. You take care with your work, engage enthusiastically with mentoring and knowledge-sharing, and are excited by the opportunity to develop practical skills in sediment description, stratigraphic interpretation and deposit modelling within a professional consultancy environment.Why Join UsWe put people first: We’re proud of our friendly, inclusive and collaborative environment where everyone feels valued and driven to succeed.We are driven to achieve: Named in the top 50 companies to work by Glassdoor 2025. Recognised by Corporate Knights as one of the world’s top 10 most sustainable companies in 2025. Named ‘Best Place to Work’ and ‘International Consulting Firm of the Year’ at the NCE Awards 2024.We do what is right: Industry-leading training and development, as well as paid professional subscriptions. A professional progression plan, supporting you to become chartered with ICE.We are better together: A supportive and collaborative team environment and Early Careers peer group, and a wider ERG network (see more on our ERGs here: Stantec Employee Resource Groups)Growth: We’re on an exciting growth journey across the UK - we want you to be part of it!Great Benefits: Competitive salary, bonus schemes, enhanced pension plan, annual leave with the option to buy/sell additional days, private medical insurance, group income protection & life assurance included as standard, as well as discounted gym membership and lots more.Hybrid / Flexible working: Enjoy a healthy work-life balance with our hybrid approach.#UKWater #LI-MH1About StantecThe Stantec community unites more than 34,000 employees working in over 450 locations across 6 continents. We have been working with our clients and communities in the UK for over 150 years. We plan, design, deliver and manage the development and infrastructure needed to support the creation of sustainable, healthy and prosperous communities.Our teams provide effective and relevant solutions, translating our clients’ vision into valued consents, deliverable plans for projects and programmes, and efficient designs for delivery, based on technical excellence and deep market insights. We deal with today’s challenges, but also keep a fairer, better tomorrow in sight, looking at how we deliver clean growth, support radical changes in our economy and meet the needs of future communities.Stantec provides equal employment opportunities to all qualified employees and applicants for future and current employment and prohibit discrimination on the grounds of race, colour, religion, sex, national origin, age, marital status, genetic information, disability, sexual orientation, gender identity or gender expression. We prohibit discrimination in decisions concerning recruitment, hiring, referral, promotion, compensation, fringe benefits, job training, terminations or any other condition of employment. Stantec is in compliance with laws and regulations and ensures equitable opportunities in all aspects of employment.Building an inspired, inclusive work environment that attracts, supports, and develops world-class talent is a crucial key to our success. If you are excited by this role but worry that your experience doesn’t exactly align, we encourage you to apply.At Stantec we want you to perform your best at every stage of the recruitment process and are committed to ensuring it is accessible to all. If you need any support or require adjustments to be made then please contact careers.UK@stantec.comand we will talk to you about how we can support you.ReqID: 9551Other Locations: London, Brighton, High Wycombe, Bristol, Oxford, Ashford, Southampton, Cambridge#additional

Senior Clinical Exercise Specialist: Heart and Lung Health Ready to make your application Please do read through the description at least once before clicking on Apply. London, W10 (with travel to community venues and occasional home working) About Us We're Open Age, the charity empowering all older people in London to stay active, stay curious and stay connected. We believe feeling supported as part of a community is the key to living well for longer – isolation can have a devastating impact on older people, affecting their mental and physical health. Right now, 60% of our members live alone. But they are not alone. Open Age is creating an inclusive community for everyone to take part in enjoyable activities – from art to foreign languages, yoga to walking football – whoever they are and however they choose. No one else does what we do. For over 30 years, our unique ‘meet, move, learn' formula has been supporting members to get out of their homes and into our community. Our goal is to empower all older Londoners to find their purpose and their people, helping them get more out of life at every age. We are now looking for a Senior Clinical Exercise Specialist: Heart and Lung Health to join us on a part-time basis, working 28 hours per week over four days, for a fixed-term contract until March 2029, with the possibility of extension subject to funding. The Benefits • Salary of £31,000 per annum (pro rata), • 25 days' annual leave (pro rata) plus bank holidays, • An additional day off for your birthday, • Pension scheme with a 3% employer contribution, • Cycle to Work Scheme, • Employee Assistance Programme This is a fantastic opportunity for an exercise professional with experience supporting older adults in a community setting with an interest/expertise in chronic respiratory or cardiovascular disease, to join our dedicated charity on a part-time basis, working four days per week. You'll have the chance to begin or continue your specialist career, broadening your practical experience and strengthening your professional skills. Working alongside a passionate and enthusiastic team, you'll make a significant contribution to a newly funded programme that supports older people to lead healthier, more active and independent lives. What's more, you'll enjoy a fantastic range of benefits designed to support your wellbeing and work-life balance, alongside part-time hours worked over four days that enable you to pursue a rewarding career whilst making time for your commitments outside work. The Role As our Senior Clinical Exercise Specialist, you will co-ordinate and deliver our HealthWorks programme. HealthWorks is a community-based programme that supports Westminster residents to live healthier lives through local activities and support. The programme will offer a mix of healthy lifestyle activities, talks and workshops, with a particular focus on working with people from ethnically diverse and Global Majority backgrounds. Specifically, you'll co-ordinate and deliver healthy lifestyle activities including exercise classes and health education sessions. You'll deliver approximately three exercise classes per week to help participants reduce their risk of heart and lung conditions. You'll assess individual exercise capabilities and adapt sessions to meet participants' needs, as well as delivering health education sessions and conducting HealthWorks check-ins. These will support participants to set realistic health goals, monitor their progress and access relevant community and health services. Additionally, you will: • Work with Marylebone Bangladesh Society and other partners to deliver the HealthWorks programme, • Organise community outreach, taster sessions and health and wellbeing events, • Manage participant referrals, bookings and programme documentation, • Monitor attendance, evaluate outcomes and prepare reports About You To be considered as a Senior Clinical Exercise Specialist, you will need: • At least one year's experience working with older adults in community settings, delivering group exercise classes and one-to-one sessions, • A BACPR, Exercise Referral, Exercise Training for Chronic Respiratory Disease or Postural Stability Instructor qualification, or willingness to undertake relevant training, • Experience prescribing exercise for people with a range of medical conditions, • Experience of partnership working, • Cultural awareness and sensitivity when working with people from diverse cultural and ethnic backgrounds, • Strong IT and report writing skills, with the ability to interpret data, • Excellent organisational and time management skills, with the ability to balance multiple timetables and classes, • The ability to travel throughout the service area on a daily basis, • A recognised degree-level qualification in Sport/Exercise Science, Sports Therapy or a related field, or equivalent experience Please note, the successful applicant will be required to undergo an enhanced DBS check. The closing date for applications is 5pm on Friday 13th November 2026. Other organisations may call this role Clinical Exercise Specialist, Exercise Referral Specialist, Cardiac Rehabilitation Instructor, Pulmonary Rehabilitation Instructor, Clinical Exercise Practitioner, Exercise Physiologist, Community Exercise Specialist, Health and Wellbeing Practitioner, or Senior Exercise Instructor. Webrecruit and Open Age are equal opportunities employers, value diversity and are strongly committed to providing equal employment opportunities for all employees and all applicants for employment. Equal opportunities are the only acceptable way to conduct business, and we believe that the more inclusive our environments are, the better our work will be. So, if you're ready to use your exercise expertise to help older people improve their heart and lung health as our Senior Clinical Exercise Specialist, please apply via the button shown. This vacancy is being advertised by Webrecruit. xrnqpay The services advertised by Webrecruit are those of an Employment Agency.

The role Are you the right candidate for this opportunity Make sure to read the full description below. Would you like to lead Natural Resources Wales' (NRW) expertise in water quality modelling and help shape the future of Wales' water environment? This is an exciting new opportunity to establish and lead NRW's water quality modelling capability, complementing our existing freshwater quality and marine modelling expertise. In this influential role, you will use your technical knowledge and professional experience to develop and deliver a forward-looking modelling programme that supports environmental protection, drives water quality improvements, and informs strategic decision-making across the organisation. Working across a diverse range of water quality issues, you will collaborate with colleagues at all levels and from a variety of disciplines, giving you a unique opportunity to influence priorities, share expertise and help shape NRW's approach to environmental management. You will be encouraged to bring fresh thinking, develop innovative solutions, and apply your specialist knowledge to complex environmental challenges. Depending on your experience and interests, your remit may extend beyond water environment modelling to include ecological and hydraulic modelling, providing broad opportunities for professional development and impact. You will also build strong relationships with key external stakeholders, including the Welsh Government, the Environment Agency and other national partners, ensuring that NRW remains at the forefront of evidence-led environmental management. This is a highly rewarding role for someone who is passionate about using science, evidence and innovation to protect and improve Wales' natural resources for future generations. As an organisation we support flexible working. You will be contracted to the nearest NRW office to your home and a suitable hybrid working pattern will be agreed on appointment. Any regular face to face meetings or training will be planned in advance. To make an informal enquiry about this role, please contact Ruth Johnston at Interviews will take place through Microsoft Teams. About us At NRW, we are committed to the sustainable management of Wales' natural resources, helping to create a healthier, more resilient environment for people, nature and the economy. As Wales' environmental regulator, we play a vital role in safeguarding our water, land and air while supporting sustainable development across the nation. The Water Quality Policy Team sits within our Strategy, Policy and Evidence Directorate and provides leadership on some of NRW's most important water quality priorities. The team is responsible for developing and shaping NRW's policy on wastewater, groundwater and bathing waters, helping to ensure that Wales' water environment is protected and enhanced. We also play a key role in monitoring water industry investment programmes, including the delivery of Asset Management Plans (AMPs), and provide expert input into Ofwat's Price Reviews to help secure environmental improvements and long-term benefits for customers and the environment. Joining the team means becoming part of a collaborative and knowledgeable group of specialists who are passionate about delivering evidence-based solutions, influencing national policy, and making a lasting difference to Wales' natural environment. What you will do Lead and project manage specific and complex issues, including support on casework that is novel, contentious or of high public interest in relation to our approach to modelling water quality impacts. Provide statutory advice to WG and other bodies in Wales and the UK as appropriate, and in-turn review and advise on the produced policy, plans and strategies. Retain ownership and oversight of NRW water quality modelling policy to ensure integrity with Welsh Government, Central Government and EU Policy intent. Ensure appropriate liaison with the Environment Agency, academic institutions and other water quality modelling experts in Wales and the UK to promote consistency where required in cross border catchments, develop best practice and maintain expertise by growing a professional network. Lead the requirements for, and commission the assessment of, water quality models and plans, including providing or commissioning audits. Acting as the intelligent client for these assessments as appropriate. Advise on evidence needs and opportunities, commission evidence and project manage agreed evidence projects, in line with the agreed evidence programme. Maintain and enhance your extensive knowledge and experience in water quality modelling and the principles and applications of water quality modelling for regulation and planning purposes. Also, maintain a working knowledge of water quality modelling in the water industry and other sector(s). Support the development of tools and procedures to facilitate data analysis and processing enabling interpretation and reporting on environmental data and turning data into locally relevant evidence. Contribute to task and finish groups, commissioned through the Business Groups, to prepare defined products as required. Collaborate with the Team Leader to develop and deliver an agreed Personal Development Plan. Undertake health and safety duties and responsibilities appropriate to the post Be committed to Natural Resources Wales Equal Opportunities and Diversity Policy , together with an understanding of how it operates within the responsibilities of the post Be committed to your own development through the effective use of your personal development plan (known as Sgwrs). Any other reasonable duties requested commensurate with the grade of this role. Your qualifications, experience, knowledge and skills In your application and interview you will be asked to demonstrate the following skills and experience using the STAR method. Knowledge of: Welsh, UK and EU legislation related to water quality and environmental regulation; Welsh & UK Governments and EU policy drivers in water quality as set out in the WG Water Strategy; and the issues and opportunities in Wales. Substantial knowledge and previous experience in the development and application of all aspects of water quality modelling and the principles and application of water quality modelling for regulation and water planning purposes. Complex knowledge of a variety of water quality modelling software to model impacts on health and the environment from new and existing discharges/ sectors, Knowledge and practical understanding of the range of partners and stakeholders directly involved with delivering water quality policy and objectives as well as working with those benefiting from interventions across Wales. Regulatory, Water Industry experience on regulatory water quality modelling or academic experience. A degree or equivalent in an appropriate numerate or science subject with high numeracy is essential. Able to develop/appraise complex technical information and data to a range of audiences from technically proficient to non-technical. In-depth understanding of the water quality portfolio of legislation and policy and the complex range of drivers and barriers to delivery. Working in a programme and project management environment with Project Management experience and/or qualifications. You will be a member of a relevant professional institution such as CIWEM and/ or working towards membership. Representing the organisation in high profile and contentious issues in the public arena. Share your knowledge and expertise to help solve problems, supporting all Heads of Business in SPE as required. As an expert you will need to be an excellent communicator, be able to demonstrate effective interpersonal skills and be a strong team worker. Welsh Language level requirements Essential: Level A1 - Entry level Welsh language levels Please note if you do not meet the A1 requirement i.e., ability to understand basic phrases and ability to pronounce Welsh names correctly, then NRW offers a variety of learning options and staff support to help you meet these minimal requirements during the course of your employment with us. Additional Information Successful applicants will be subject to a satisfactory Disclosure and Barring Service Check (DBS) check. Appointments are normally made within 4 to 8 weeks of the closing date. Natural Resources Wales is unable to offer visa sponsorship for this position. Although we hold a Skilled Worker visa sponsorship licence, it applies only to specific roles that meet both the eligibility criteria and salary requirements set out by the UK Government under the Skilled Worker visa route. Benefits This role will offer a range of benefits, including: Civil Service Pension Scheme offering employer contributions of 28.97% (successful internal staff will remain in their current pension scheme) 28 days annual leave, rising to 33 days generous leave entitlements for all your life needs commitment to professional development health and wellbeing benefits and support weekly wellbeing hour to use as you choose See full details for all the employee benefits you will receive. Please keep reading We're passionate about creating a diverse workforce and positively encourage applications from under-represented communities. We embrace equal opportunity irrespective of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex and sexual orientation. We are committed to equal opportunities, and we guarantee interviews for candidates with disabilities who meet the minimum selection criteria. We want to attract and retain talented and highly skilled staff, so we make sure that our pay scales remain competitive. We advertise the full pay scale on our job descriptions. Appointed candidates start at the first point of the pay scale and annual increments are paid each year. We want our staff to grow professionally and personally. From leadership development to access to further and higher education courses, our staff have opportunities to expand their knowledge on variety of topics, stay current in their field and continue to learn as their career progresses. We are a Bilingual organisation which complies with the Welsh Language Standards. Welsh language skills are considered an asset to NRW, and we encourage and support staff to learn, develop and use their Welsh language skills. You are welcome to apply for any vacancy in Welsh or English, and any application submitted will be treated equally. Applications are welcome from individuals who want to work full-time, part-time, or job share. Please note that we reserve the right to close this vacancy before the advertised closing date if we receive a high volume of applications. xrnqpay We encourage candidates to submit their application as early as possible and not wait until the closing date to apply.

This job is with Quadient, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Quadient, we support businesses of all sizes in their digital transformation and growth journey, unlocking operational efficiency with reliable, secure, and sustainable automation processes. Our success in delivering innovation and business growth is inspired by the connections our diverse teams create every day, with our clients and each other. It’s these connections that make Quadient such an exceptional place to grow your career, develop your skills and make a real impact – help our future-focused business lead the way in powering secure and sustainable business connections through digital and physical channels. Position Summary The Technology Partner Alliances Lead is responsible for defining and executing Quadient Digital’s global technology ecosystem and alliance strategy, ensuring external platforms, ISVs, hyperscalers, and AI partners extend product capabilities, accelerate product roadmap execution, and create durable competitive advantage. Reporting to the SVP, Product & R&D, this role operates at the intersection of product strategy, ecosystem design, and executive partnership. It drives build‑vs‑partner‑vs‑acquire decisions, leads co‑innovation programs that deliver differentiated capabilities, and positions Quadient’s platforms as strategic hubs within priority ecosystems. The role is product‑led and strategic in nature, with close collaboration across Product Management, Product Marketing, R&D, Sales, and Corporate Development. This role leads a small, high‑impact global team focused on technology alliances, ecosystem enablement, and strategic governance. What you will do Technology & Ecosystem Strategy Define and own Quadient Digital’s global technology ecosystem and alliance strategy, aligned with long‑term product vision and platform priorities. Develop portfolio‑level build‑vs‑partner‑vs‑acquire recommendations, influencing product investment decisions and inorganic growth considerations. Identify, evaluate, and prioritize strategic technology partners across Customer Communications, Financial Automation, AI/ML, cloud platforms, security, data, and enterprise integrations. Lead global co‑innovation programs that deliver net‑new product capabilities, accelerate time‑to‑market, and materially differentiate Quadient’s solutions. Represent Quadient in executive‑level partner roadmap discussions, innovation councils, and architectural forums. Define and govern joint GTM strategies with strategic partners that expand market reach and influence product packaging, positioning, and strategic pipeline creation. Product Strategy & Portfolio Alignment Shape Quadient’s platform and ecosystem strategy by integrating external technologies, partner roadmaps, and market signals into multi‑year product planning. Act as a standing contributor to product portfolio and roadmap reviews, representing ecosystem‑driven opportunities, risks, and dependencies. Influence product strategy through insight on emerging technology trends, competitive ecosystems, and evolving customer expectations. Partner with Product Marketing and Commercial leadership to ensure ecosystem capabilities are reflected in value propositions, positioning, and field enablement. Collaborate with Engineering leadership to define scalable platform and integration standards, maintaining focus on product leverage and customer value. Global GTM & Executive Collaboration Operate as Quadient Digital’s executive point of view on ecosystem strategy across Americas, Europe, and APAC. Advise Product, R&D, and Commercial leadership on ecosystem implications for regional strategies, regulatory environments, and market entry decisions. Ensure alignment between technology alliances, strategic accounts, and regional GTM priorities. Represent Quadient externally with senior partner executives, industry bodies, and strategic forums. Governance, Risk & Operational Leadership Lead strategic partner due diligence covering product fit, technical architecture, GTM alignment, data protection, security, and compliance. Ensure partnership agreements support product roadmaps, innovation velocity, certification requirements, and long‑term scalability. Establish governance models, KPIs, and lifecycle management practices for strategic technology partners. Lead executive‑level QBRs and long‑range partnership planning. Negotiate complex strategic and technical partnership agreements in collaboration with Legal, Security, Product, R&D, and Corporate Development. Build and develop a high‑performing global alliances team, ensuring strong capability, accountability, and succession readiness. Channel Program Governance (Secondary Scope) Oversee global channel partner program governance, frameworks, and compliance. Ensure coherence between technology alliances and channel enablement needs, in partnership with Product Marketing and Sales Enablement. Maintain alignment between technology alliance strategy and channel program requirements. Note: This role does not own channel revenue, bookings, or broad commercial partner relationships. REQUIRED EDUCATION / QUALIFICATIONS / EXPERIENCE Bachelor’s degree in Business, Engineering, Computer Science, or a related field, or equivalent professional experience. Senior leadership experience shaping global technology ecosystems within enterprise SaaS or platform‑based organizations. Proven track record influencing product portfolio strategy, platform evolution, or inorganic growth through partnerships. Deep understanding of modern SaaS architectures, APIs, cloud ecosystems, and enterprise integration models. Strong executive communication skills with the ability to operate credibly with Product, R&D, Commercial, and Corporate Development leadership. Demonstrated ability to lead small, high‑impact global teams in complex and ambiguous environments. ADDITIONAL SKILLS Experience operating at the intersection of product strategy, technology platforms, and commercial execution. Background in Financial Automation, Customer Communications, AI‑enabled platforms, or enterprise SaaS ecosystems. Exposure to M&A due diligence and post‑acquisition integration from a product or ecosystem standpoint. Strong ability to translate complex ecosystem strategies into clear business and customer value narratives. Experience representing organizations in industry analyst and ecosystem forums. Rewards & Benefits • Flexible Work: Embrace a hybrid work model blending office and remote setup for a balanced lifestyle., • Endless Learning: Access global opportunities for growth through our 24/7 online learning platform., • Inclusive Community: Join our Empowered Communities and engage in our Philanthropy program., • Comprehensive Rewards: Enjoy competitive Total Rewards covering wellness, work/life balance, and more, including a generous referral scheme., • Caring for Wellbeing: Access our complimentary employee assistance program for mental health support. Smart Work at Quadient At Quadient, our Smart Work approach fosters connection, collaboration, and innovation while offering flexibility based on role requirements. Whether on-site, hybrid, or remote, our work environments are designed to support productivity and engagement. Hybrid employees balance remote and in-office work, on-site roles contribute daily to our vibrant workplace culture, and remote employees stay connected through virtual collaboration and in-person events. No matter where you work, you’ll be part of a dynamic, people-first community that drives success together. Be yourself at Quadient Our values define how we work as a team: Empowerment, Passion, Inspiration and Community. They inspire us to be EPIC. Together. What makes Quadient different is how different we are. We’re a team of individuals with one goal but many perspectives. When you connect with Quadient, you become part of a community that cares - in a culture that embraces differences and values every voice. We will consider any reasonable modifications to the interview process. If you require any assistance with the application process, please email us at career@quadient.com Quadient is an Equal Employment Opportunity Employer. *: We firmly believe in zero discrimination in employment on any basis, including race, color, religion, sex, national origin, age, disability, veteran or military status, genetic information, citizenship status, and any other characteristics protected by local, state, or federal law. People. Connected.

This is a hybrid role (3 days per week) based out of London. Iconic Interactive is an AI-native game development and research studio exploring the future of interactive entertainment, digital actors, and intelligent worlds. We’re looking for an experienced Machine Learning engineer to join our team, focused on building custom, efficient models and integrations to power real-time interaction for the next generation of games and interactive experiences. As part of a small, focused team, you'll have significant autonomy and end-to-end ownership over design and implementation. You’ll work closely with artists, writers and designers as well as the rest of the engineering team to build systems that actually translate into creative & fun games. • Build, train and integrate ML models for real-time interactive experiences, • Develop systems and applications powered by LLMs, • Own projects across the ML pipeline, from experimentation through to production, • Optimise models for performance, latency and efficiency, • Work with engineering and creative teams to turn ML capabilities into compelling experiences, • Strong knowledge of Python, • Experience writing models in PyTorch or JAX, • A good understanding of how large language models work, • Comfortable working along the whole ML pipeline: from data preparation to model design, training and evaluation, and shipping in products, • Degree in Computer Science or a related field, or equivalent industry or personal experience (show us your personal projects!), • Experience building agent harnesses or user-facing systems based on LLMs, • Experience shipping machine learning models on consumer devices or edge compute, • Experience optimising, quantising or writing kernels for LLMs, • Knowledge of C/C++, or experience with Unreal Engine, Unity or similar game engines, • Experience with managing ML environments and hardware, • Experience working with audio models or other multi-modal models., • An appreciation for game design and development principles The ideal candidate is unlikely to have all the above, so if you have any, we would love to hear from you. Be a foundational member of a team innovating at the intersection of AI, games, art and storytelling. You’ll help shape the technical foundations of a company building toward something genuinely new. • Competitive salary and equity compensation, • 25 days annual leave + bank holidays, • Private healthcare, • London-based hybrid working, • Inclusive & friendly company culture with socials and game breaks #J-18808-Ljbffr

Role : Systems / Requirements Engineer x2 Location : Horsham Working practice : onsite 3 days per week Rate : up to £450pd + VAT outside of IR35 Duration : 6 months - 12 months Start : Mid November Role Purpose: Responsible for defining, managing, and maintaining requirements across engineering programmes, ensuring customer, operational, and contractual needs are translated into clear, testable, and traceable engineering specifications throughout the system lifecycle. Key Responsibilities: Capture, analyse, and manage system, customer, and operational requirements. Maintain requirements traceability, baselines, and configuration control. Support system design, integration, verification, validation, and acceptance testing. Ensure compliance with relevant defence standards and contractual requirements. Collaborate with Systems Engineers, Project Managers, Technical Leads, and customers. Support technical reviews, audits, risk management, and continuous improvement. Required Experience: Requirements engineering experience within defence, aerospace, military, or complex engineering environments. Strong understanding of systems engineering, requirements traceability, and verification methodologies. Experience with MBSE, IBM DOORS, DOORS Next, Polarion, Jama, or equivalent tools. Knowledge of configuration management, change control, and engineering lifecycle processes. Qualifications: Degree in Engineering, Systems Engineering, Computer Science, Electronics, or a related discipline. Knowledge of ISO/IEC/IEEE 15288 and relevant defence standards desirable. INCOSE or IREB certification and MBSE experience advantageous. If interested in these roles, please send across your latest CV. TPBN1_UKTJ

We're one of Europe's fastest-growing fintech companies - on a mission to create the world's most empowering way to pay. We're one of Europe's fastest-growing fintech companies - on a mission to create the world's most empowering way to pay. We launched the product in 2020 and achieved double unicorn status, valued at $2 billion, and since then have taken on more than 6 million customers. Our mission is to become the best way to pay for anything, anywhere and say goodbye to credit costs for everyone. This is huge. Want to join us? We are seeking a talented and experienced Senior Data Scientist to join Zilch's Risk team, with a focus on developing and optimising advanced models in the Risk space, primarily across credit risk, with additional focus on collections optimisation and fraud detection. You will leverage diverse data sources to support key areas across the business, building production-grade models and decisioning solutions that improve risk outcomes, customer experience, and operational efficiency. This role will involve close collaboration with cross-functional teams, including product managers, engineers, risk strategy, credit, collections, fraud, and other data scientists, to ensure data-driven insights are successfully integrated into product strategies, risk decisioning, and business growth initiatives. This is a hands-on role for someone who combines strong applied machine learning with modern ML Ops practices. We are looking for a data scientist who can take models from exploration through to production, monitoring, and iteration. • Work with large and complex datasets to solve a wide array of challenging problems using various analytical and statistical approaches., • Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve millions of customers and thousands of merchants., • Build, validate, deploy, and monitor robust, scalable machine learning models and model pipelines across the risk lifecycle, including onboarding, affordability, life-time value, credit-default risk, in-life risk, collections, and fraud., • Present complex data science findings and methodologies to senior stakeholders clearly and concisely., • Apply machine learning methods to solve risk and product-related business problems and enhance our decision-making processes., • Contribute to the team’s coding efforts, ensuring best practices in version control, testing, CI/CD, model deployment, monitoring, methodologies, workflows, and tooling., • Conduct A/B testing, champion/challenger testing, and experimental analyses to evaluate new features, risk strategies, model changes, and product changes., • Partner closely with engineering and platform teams to operationalise models, automate workflows, and improve model reliability in production., • 3+ years of hands-on experience as a data scientist, with a focus on building and deploying models to enhance the customer product experience, risk decisioning, and business outcomes, ideally within credit risk, collections, fraud, financial services, lending, payments, or another decision-intensive domain., • Proficiency in SQL, Python and core data science and machine learning libraries, such as NumPy, Pandas and Scikit-Learn., • Strong practical experience with machine learning model development, deployment, monitoring, and iteration in production environments, including cloud-based model training, archiving, serving, endpoint deployment, and tools such as Amazon SageMaker or similar., • Experience communicating complex ideas to non-technical audiences and senior stakeholders., • Strong understanding of machine learning methods, their application in real-world scenarios and a keen awareness of their limitations., • A strong engineering mindset, with the ability to write clean, maintainable, production-ready code, use version control systems such as Git, and collaborate effectively in a multi-developer environment., • A results-driven approach, with the ability to quickly iterate and improve models in production., • Knowledge of AI safety considerations, such as bias detection, privacy management, and handling personally identifiable information (PII)., • Familiarity with software development best practices and continuous integration/continuous delivery (CI/CD) pipelines, such as GitHub Actions., • Experience using DBT for data modelling and Looker for BI reporting., • An interest in staying up to date with evolving technologies and applying them to enhance business outcomes. The following are bonuses rather than strict requirements. We do not expect candidates to have all of them: • Prior experience in credit risk modelling, collections optimisation, fraud detection, or risk strategy., • Familiarity with risk model governance, explainability, fairness, affordability, or regulatory considerations in financial services., • Experience with decision science, automated decisioning systems, decision engines, or risk strategy implementation., • Experience applying neural networks or deep learning approaches to practical risk, fraud, or decisioning problems. #J-18808-Ljbffr

Our client is seeking a Senior Platform Engineer to join its technology and data engineering team in a permanent hybrid role across Surrey and Greater London. This is a hands‑on opportunity to help develop and optimise a Databricks data platform that supports analytics, machine learning and artificial intelligence across the business. • Design, build and enhance a secure, scalable and reliable Databricks platform, • Develop and maintain batch and real‑time data pipelines using Databricks, Apache Spark and Delta Lake, • Contribute to platform architecture, engineering standards and best practices across the data estate, • Work with Product, Analytics and Data Science teams to deliver effective data platform solutions, • Support platform operations, monitoring, performance optimisation and reliability, • Apply Infrastructure as Code principles to support consistent and efficient platform management, • Share technical knowledge and contribute to continuous improvement across the engineering team, • Significant experience building and supporting scalable, production‑grade data platforms, • Strong hands‑on expertise with Databricks, Apache Spark, Delta Lake, Python and SQL, • Good understanding of cloud‑based data engineering, ideally within Microsoft Azure environments, • Experience with Infrastructure as Code tools such as Terraform, Bicep or similar, • Understanding of data modelling, ETL and ELT processes, data quality, security and governance, • Ability to collaborate effectively with technical and non‑technical stakeholders, • Experience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageous, • Knowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficial, • Databricks certifications, • Experience working with retail or consumer packaged goods data, including point‑of‑sale, inventory or supply chain datasets, • Understanding of modern data platform architecture and cloud engineering practices, • A degree in Computer Science, Data Engineering or a related discipline, or equivalent practical experience, • Hybrid working, typically with two days in the office, alongside a work‑from‑anywhere policy, • 25 days Annual leave allowance, bank holidays and an additional day off for a birthday, • Summer working hours and flexible working arrangements, • Access to learning platforms, professional development courses and structured career progression, • Private medical insurance, healthcare support and mental health services, • Home workspace assessment to support a safe and productive working environment, • Paid volunteering days and opportunities to support charitable causes, • Access to car purchase, gym, technology and other lifestyle benefits If you are an experienced Platform Engineer with strong Databricks and data platform engineering expertise, this is an excellent opportunity to contribute to modern cloud data solutions at scale. Salary is negotiable but in the region of £80,000 plus bonus and other benefits #J-18808-Ljbffr

We are actively seeking an accomplished and driven Data Engineer with hands‑on proficiency in development, specifically utilizing the latest Fabric & Azure tools for data and analytics. We are actively seeking an accomplished and driven Data Engineer with hands‑on proficiency in development, specifically utilizing the latest Fabric & Azure tools for data and analytics. • Design and implementation of scalable and efficient data architecture on the Fabric & Azure platform in collaboration with the data architecture team., • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions., • Develop end-to-end systems with a focus on long-term maintenance and support., • Stay current with emerging trends and technologies in data engineering and Azure services and evaluate their potential impact on our data infrastructure, • Evaluate and recommend Fabric & Azure services and tools based on project requirements., • Facilitate the transition of deliverables into service using IT Service Management., • Develop and implement ETL processes using Fabric notebooks, Pipelines, Azure Data Factory, Azure Databricks, or other relevant tools., • Manage and secure structured and unstructured data flows from multiple sources and integrate them to create a unified and reliable data pipeline., • Optimize data pipelines for performance, scalability, and reliability., • Ensure data quality and implement appropriate data governance practices., • Design and implement analytical solutions using Fabric, Azure, Power BI, or similar tools., • Optimize queries, dataflows and data models for performance and efficiency., • Support the creation and maintenance of dashboards and reports by Data Analysts from both the Digital team and the wider self-service community., • Implement and enforce security measures to protect sensitive data., • Ensure development is compliant with data protection regulations and industry standards., • Collaborate with the security team to address any identified vulnerabilities., • Enforce best practices and governance in data management., • Ensure development conforms to secure software development principles including adherence to coding standards, QA & peer review, and use of version control to promote changes out of development., • Knowledge of Fabric & Azure services such as Fabric Lakehouses, Notebooks, Pipelines, Workspaces, along with Data Factory, Databricks, Azure SQL, Synapse Analytics, LogicApps, PowerShell and Power BI, • Proven experience as a data engineer for at least 5 years, with a focus on building data and analytics solutions using Fabric & Azure., • Deep understanding of Azure data services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure SQL Database, etc., • Proficiency in programming languages such as SQL, PowerShell, and Python., • Strong experience with data modelling, ETL/ELT processes, and data warehousing concepts., • Excellent problem-solving skills and attention to detail., • Experience with Azure DevOps/GIT for source control and managing code repositories, • Practical knowledge and experience of Microsoft Fabric and cloud service offerings (SaaS/PaaS/IaaS) a significant advantage., • Experience with enterprise software platforms (HRMS, ERP, CRM, PLM, Finance) desirable but not essential., • Self-motivated and capable of working independently while fostering collaboration., • Experience working in a delivery team focused on solution quality., • Experience in a similar role on large projects., • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams., • Highly motivated with a 'can do' and positive attitude; resilience and patience dealing with multiple stakeholders., • Ability to take ownership of own workload., • Organised and detail-oriented, ability to adopt a process-oriented approach., • Ability to work well under pressure and to deadlines, prioritising tasks accordingly., • Knowledge of IT Service management based on ITIL practices., • Azure certifications such as Azure Data Engineer Associate or Azure Solutions Architect are preferred but not required., • Bachelor's degree in Computer Science, Engineering, or a related field. At Mace, our purpose is to redefine the boundaries of ambition. We believe in creating places that are responsible, bringing transformative impact to our people, communities and societies across the globe. Within our construct business we harness our unique combination of leading-edge practical expertise and project delivery to unlock the potential in every project. • Safety first - Going home safe and well, • Client focus - Deliver on our promise, • Integrity - Always do the right thing, • Create opportunity - For our people to excel We are also open to discussing part time, flexible, and hybrid working options if suitable within the role. GB-GB-London Mace Limited - Group Services Regular Full-time 15-Sep-2026, 8:59:08 AM #J-18808-Ljbffr

Join our AI chip software team to build the compiler, runtime, and kernel libraries that unlock the full potential of our AI accelerator hardware. You will work at the intersection of AI models and silicon, optimizing large language model (LLM) inference and training workloads for our custom accelerator architecture. This role is ideal for someone who enjoys bridging the gap between cutting-edge AI research and high-performance hardware. • Design and implement compiler passes and optimization strategies for AI accelerator code generation (LLVM/MLIR-based), • Develop high-performance kernel libraries (GEMM, convolution, attention, normalization) optimized for our AI accelerator architecture, • Lead LLM inference optimization on our hardware platform — including KV cache management, batching strategies, quantization, and speculative decoding, • Collaborate with hardware architects to define the accelerator ISA, programming model, and performance features, • Work with the AI framework team to integrate our compiler stack with PyTorch, ONNX, and other model formats, • Build performance analysis tools and benchmarks to measure and improve model execution efficiency, • Drive performance optimization across the full stack — from model-level down to instruction scheduling, • Contribute to the AI software roadmap and help shape the direction of our accelerator software ecosystem, • 5+ years of experience in high-performance computing, compiler development, or AI/ML systems, • Strong programming skills in C/C++ and Python, • Deep experience with GPU/AI accelerator programming (CUDA, OpenCL, or similar), • Hands-on experience with deep learning frameworks (PyTorch, TensorFlow, JAX), • Understanding of neural network architectures and their computational patterns (transformers, CNNs, RNNs), • Experience with performance optimization, profiling, and benchmarking of AI workloads, • Knowledge of compiler infrastructure (LLVM, MLIR, XLA, or TensorRT), • BSc, MSc, or PhD in Computer Science, Electrical Engineering, or related field, • Experience with LLM inference optimization techniques (vLLM, TensorRT-LLM, llama.cpp), • Experience with Triton, TVM, or similar domain-specific compilers, • Knowledge of low-precision arithmetic (FP8, INT8, INT4) and mixed-precision training/inference, • Background in computer architecture or hardware design, • Open-source contributions to AI/ML projects #J-18808-Ljbffr

A leading global investment firm is building out its next-generation AI capability and is hiring an AI Engineer to define and deliver applied AI systems directly impacting research, trading, and business decision-making. This is a high-visibility role working directly with Portfolio Managers, quants, and senior leadership to architect and deploy production-grade LLM and agentic AI systems across the firm. You will: • Define and execute the technical roadmap for firmwide AI initiatives, • Design, build, and deploy LLM-powered tools embedded directly into investment workflows, • Architect agentic systems capable of multi-step reasoning, planning, and tool execution, • Build and operate MCP (Model Context Protocol) servers to securely connect AI agents to enterprise data and APIs, • Own the full LLM lifecycle including prompt and system design, model selection, evaluation, deployment, monitoring, and iteration, • Lead rapid prototyping using RAG, tool and function calling, and modern agent frameworks, • Establish best practices for responsible, production-grade AI deployment, • Mentor engineers and help raise the technical bar across applied AI initiatives This is not a research-only role. You will be shipping production systems that portfolio managers rely on. What We’re Looking For • 2+ years of industry experience with the last 1+ years building and deploying production AI systems, • Advanced degree (MS or PhD) in Computer Science, AI, ML, or related quantitative field, • Hands-on experience with production LLM applications including evaluation, monitoring, and iteration, • Strong experience with agentic frameworks and agent design patterns, • Experience building MCP servers or similar AI integration layers, • Excellent Python engineering skills including object-oriented design, microservices, and REST APIs, • Ability to operate independently in a fast-paced, highly collaborative environment Nice to Have • Deep curiosity about AI and emerging technologies, • Strong ownership mindset and high ethical standards, • Experience delivering AI tools directly to business stakeholders If you are excited about building agentic AI systems that directly influence investment decision-making and want to operate at the intersection of AI engineering and capital markets, I would welcome a confidential conversation. #J-18808-Ljbffr

Senior Software Engineer at Checkout.com will develop next‑generation payment technologies to help merchants increase acceptance rates, reduce costs, combat fraud, and create outstanding customer experiences. Working across Checkout.com’s portfolio of products, you will design, build, and maintain scalable, high‑availability systems while mentoring junior engineers and collaborating with cross‑functional teams. • Lead and drive specific projects that are critical to Checkout’s needs, setting priorities, deadlines, and deliverables., • Collaborate with product management, design, and other engineering teams across a large community., • Design, develop, test, deploy, maintain, and enhance software solutions in a backend or full‑stack environment., • Mentor junior team members and assist in their technical development., • Build, own, and operate systems to the highest levels of resilience and service., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • Proficiency in C# .NET, Java, or Go with a strong understanding of software development principles in a backend or full‑stack context., • Excellent communication skills and the ability to interact effectively with a wide range of stakeholders., • Experience in agile environments and delivering high‑quality code within tight deadlines., • Strong problem‑solving skills and the ability to work independently as well as part of a team., • AI proficiency or curiosity, and a willingness to embrace the latest technologies to improve productivity., • Payments or financial knowledge is a plus, but not required. Collaborate with cross‑functional teams; define and design loosely coupled, scalable microservices using industry best practices; stay up‑to‑date with the latest technologies; write clean, maintainable, testable code; mentor junior engineers; and own resilient, high‑reliability systems within Checkout’s impact‑driven culture. Hybrid working model offering flexibility with three days per week in the office to support collaboration and connection. Checkout.com values diversity and inclusion, encouraging applicants from all backgrounds and identities to apply. #J-18808-Ljbffr

Sr. Full Stack DeveloperApply: London - 12 Arthur Street: Full time: Posted Today: JR1079448At Broadridge, we've built a culture where the highest goal is to empower others to accomplish more. If you’re passionate about developing your career, while helping others along the way, come join the Broadridge team.We are excited to announce an opportunity for a Senior Developer to join our organization as part of our AI Enablement Team. In this role, you will play a crucial role in Implementing and designing the solutions that enhance our AI capabilities across the organization, with a specific focus on GenAI projects.As a Senior Developer, you will be at the driving innovation and delivering cutting-edge solutions. Your expertise will contribute to the development of our platform, shaping its capabilities and providing impactful solutions.Join our dynamic team and be part of a collaborative environment that fosters continuous learning and creativity. If you are passionate about machine learning, AI, and want to contribute to the platform capability development for our whole organization, we invite you to apply for the position of Technology Architecture in our AI Enablement Team.Job responsibilities: Software Development: Design, develop, and maintain applications. Write well-structured, efficient, and maintainable code. Debug and resolve complex technical issues Technical Leadership: Provide technical guidance and mentorship to junior developers. Collaborate with architects to design & implement scalable and efficient software solutions. Stay up-to-date with industry best practices and emerging technologies. Code Reviews: Review code submitted by team members to ensure adherence to coding standards and best practices. Offer constructive feedback to enhance code quality Testing and Quality Assurance: Write unit tests and participate in the testing process to ensure software reliability. Collaborate with QA engineers to resolve issues and defects Collaboration: Work closely with cross-functional teams, including QA engineers, product managers, and designers, to deliver high-quality software products. Participate in requirements analysis and solution design discussions Performance Optimization: Identify and address performance bottlenecks in applications. Optimize code for speed, scalability, and efficiency* Documentation: Create and maintain technical documentation, including design documents and code documentation.Qualifications & Skills: Bachelor's or Master's degree in Computer Science, Data Science, or a related field (Ph.D. preferred) with Proven experience of 7+ years in developing IT solutions Proficient in Python & ReactJS and related technologies is required. Experience with GenAI application development including vector stores, RAG solutions, context engineering, prompt engineering, observability is essential Experience with Agentic AI development & Java Spring Framework would be advantageous Understanding of full stack development and architecture patterns. Experience with RESTful API development and integration. Proven track record in developing base frameworks, reusable programs and defining standards. Knowledge of cloud platforms AWS and containerization technologies. Strong understanding of object-oriented programming principles and design patterns. Proficiency in database design and SQ and NoSQL databases like Redis, DynamoDB. Good understanding of the Agile methodologies and working in Scrum/SAFE practices Familiarity with front-end technologies (HTML, CSS, JavaScript) is a plus. Exposure to the AI/ML techniques & methodologies is a plus. Knowledge of software development best practices, including version control (Git) and continuous integration (CI/CD) processes. Strong problem-solving and debugging skills. Effective communication skills and the ability to work collaboratively with cross-functional teams.Hybrid Flexible at BroadridgeWe are made up of high-performing teams that meet in person to learn and collaborate as needed. This role is considered hybrid.#LI-Hybrid#LI-LM1We are dedicated to fostering a collaborative, engaging, and inclusive environment and are committed to providing a workplace that empowers associates to be authentic and bring their best to work. We believe that associates do their best when they feel safe, understood, and valued, and we work diligently and collaboratively to ensure Broadridge is a company—and ultimately a community—that recognizes and celebrates everyone’s unique perspective.Use of AI in HiringAs part of the recruiting process, Broadridge may use technology, including artificial intelligence (AI)-based tools, to help review and evaluate applications. These tools are used only to support our recruiters and hiring managers, and all employment decisions include human review to ensure fairness, accuracy, and compliance with applicable laws. Please note that honesty and transparency are critical to our hiring process. Any attempt to falsify, misrepresent, or disguise information in an application, resume, assessment, or interview will result in disqualification from consideration. #J-18808-Ljbffr

Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s needs and solve their challenges. Being part of Zebra Nation means you are seen, heard, valued, and respected. Drawing from our unique perspectives, we collaborate to deliver on our purpose. Here you are part of a team pushing boundaries today to redefine the work of tomorrow for organizations, their employees, and those they serve. You’ll have opportunities to learn and lead in a forward-thinking environment, defining your path to a fulfilling career while channeling your skills toward causes you care about—locally and globally. Come make an impact every day at Zebra. We are seeking a skilled and motivated Computer Vision Engineer to join our team. In this role, you will bridge the gap between high-level machine learning research and high-performance production environments. You will be responsible for building robust SDKs, automating deployment pipelines, and ensuring our models run efficiently across a diverse hardware landscape, from edge SoCs to powerful cloud GPUs. • SDK Development (C++) Design, develop, and maintain high-performance software development kits (SDKs) to expose computer vision capabilities to end-users and internal products., • Model Deployment and Integration Port, convert, and deploy machine learning models across various hardware targets, including Qualcomm SoCs, Intel CPUs, and NVIDIA GPUs., • Performance Optimization Use hardware-specific toolkits to optimize model throughput without sacrificing accuracy., • Evaluation & Benchmarking Conduct rigorous testing and evaluation of models on target hardware to ensure performance metrics meet expectations., • Automation Build and maintain automation scripts and CI/CD pipelines using Python to streamline the model testing and deployment life cycle. Education: Bachelor's or master's degree in Computer Science, Electrotonic Engineering, or related technical field. • Deep understanding of C++14/17/20, including STL, memory management, and multi-threading., • Strong ability to write clean, maintainable Python for automation, and data processing., • Hands-on experience with at least one of the following frameworks: SNPE/QNN (Qualcomm) , OpenVino (Intel), TensorRT (Nvidia), TensorFlow Lite Familiarity with Docker for creating consistent development and deployment environments., • Bonus: Understanding Deep Learning fundamentals (CNNs, Transformers, Object Detection)., • Experience with model conversion and quantization (i.e. PTQ, QAT). Incentive Compensation: In addition to base pay, Zebra offers this role the opportunity to earn a performance-based annual cash incentive, at a target equal to 12% of base pay, in accordance with the terms of the applicable incentive plan. AI Technology Statement: Zebra Technologies leverages AI technology to evaluate job applications using objective, job-relevant criteria. This approach enhances efficiency and promotes fairness in the hiring process. However, every decision regarding interviews and hiring is made by our dedicated team, because we believe people make the best decisions about people. For more on how we use technology in hiring and how we process applicant data, see our Zebra Privacy Policy. Zebra provides the foundation for intelligent operations with an award-winning portfolio of connected frontline, asset visibility and automation solutions. Organizations globally across retail, manufacturing, transportation, logistics, healthcare, and other industries rely on us to deliver outcomes today while driving innovation for what's next. Together with our partners, we create new ways of working that improve productivity and empower organizations to be better every day. Learn more at zebra.com. Zebra Better Every Day #J-18808-Ljbffr

London, United Kingdom | Posted on 05/10/2026 We are seeking an experienced and vision-driven Enterprise Architect to define, shape, and drive global technology strategy and architectural roadmaps. In this role, you will bridge the gap between complex business strategy and technical execution, ensuring application, data, digital, and cloud ecosystems are scalable, secure, and aligned with overall business growth. You will lead the continuous evolution of technology landscape, with a heavy emphasis on enterprise cloud transformations (primarily AWS), application modernisation, and data integration across diverse business divisions. Location: London, UK (Hybrid) Travel: Occasional international travel (Dubai, UAE). Formulate and execute the enterprise-wide target operating model and multi-year technology roadmaps aligned with global corporate strategic objectives. Analyse complex business requirements, market trends, and emerging technologies to make authoritative technology investment and modernization recommendations. Rationalise, standardise, and optimise legacy technical estates to reduce complexity, eliminate technical debt, and lower total cost of ownership (TCO). Lead the architectural design and governance of high-scale cloud platforms, with primary accountability for AWS landing zones, core platform services, multi-cloud strategies, and cloud security patterns. Provide design authority for cloud migrations, microservices adoption, serverless architectures, and API-first integrations across internal and external applications. Partner with DevOps, Cloud Infrastructure, and FinOps teams to ensure workloads are well-architected for high availability, security resilience, cost efficiency, and performance. Define enterprise reference architectures, policies, patterns, and principles across business, application, data, and infrastructure domains. Act as a trusted technical advisor to senior executive stakeholders, translating complex technical concepts into clear business outcomes and aligning regional initiatives with central enterprise standards. Location & Mobility: Based in or within commuting distance of London, with the willingness and flexibility to travel to Dubai and other international offices as needed. 10+ years of progressive IT experience, with at least 5+ years in a senior Enterprise Architect or Principal Architect capacity within a global, matrixed organization. Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related discipline. Cloud Architecture: Deep expertise in the Amazon Web Services (AWS) ecosystem. Experience in hybrid or multi-cloud setups is a plus. Modern Architecture Patterns: Hands-on background in event-driven architecture, microservices, domain-driven design (DDD), API gateways, and CI/CD automation pipelines. Data & Integration Platforms: Familiarity with modern enterprise data architectures (Data Lakes/Mesh, ETL/ELT pipelines, business intelligence tools) and enterprise application integrations (iPaaS, Message Queues). Enterprise Frameworks: Strong practical application of enterprise governance methodologies. Executive Communication: Exceptional verbal and written presentation skills with a demonstrated ability to influence senior non-technical business partners across diverse cultural and geographic regions. Commercial Acumen: Strong financial awareness to evaluate ROI, cloud cost control, and vendor licensing models. Leadership & Coaching: Proven ability to mentor solution architects, promote architectural best practices, and drive collaborative consensus across disparate business units. #J-18808-Ljbffr

ALTEN is a global engineering and technology consultancy operating across over 35 countries worldwide. We partner with industry leaders across sectors including Aeronautics, Aerospace, Defence, Naval, Automotive, Energy, Rail, IT and many more to deliver innovative engineering solutions that drive technological advancement & support sustainable transformation. Our teams of passionate and agile engineers work on cutting-edge projects that shape the future of technology and sustainability. At ALTEN, we empower talented engineers to innovate, solve complex challenges, and deliver impactful solutions that build tomorrow’s world—today. Join us and start building tomorrow’s world today! Join our team as a Senior Embedded Software Engineer and contribute to the development of mission‑critical embedded software used within defence and other highly regulated engineering environments. You will work on complex real‑time systems where software robustness, determinism, and safety assurance are essential. This role offers the opportunity to apply deep embedded C++ expertise in high‑integrity programmes, supporting the delivery of reliable software solutions within demanding, process‑driven environments. Location: London On-site: 4 days per week Seniority: Senior (8+ years’ experience) Clearance: Candidates must be willing and eligible to obtain SC clearance. • Design, develop, and maintain embedded C++ software for real‑time, mission‑critical systems, • Contribute to development within safety‑regulated environments, following high‑integrity software practices, • Develop and integrate low‑level software components and system interfaces, • Support unit, integration, and system‑level testing to ensure deterministic and reliable behaviour, • Collaborate with systems, electronics, and test engineers to integrate software into complex platforms, • Produce clear and traceable technical documentation suitable for regulated engineering environments Required Skills • Strong experience with embedded C++ (C++11/14/17 or later), • Proven background delivering software in defence, safety‑critical, or regulated environments, • Solid understanding of real‑time software constraints and deterministic behaviour, • Experience contributing to verification, validation, and requirements traceability activities, • Familiarity with configuration management and development lifecycle tooling, • Strong debugging and problem‑solving ability within complex systems Soft Skills & Collaboration • Clear and confident communicator across multi‑disciplinary teams, • Detail‑oriented, quality‑driven mindset, • Strong ownership of technical delivery and accountability, • Comfortable operating in process‑heavy, high‑assurance programmes Required Qualifications • Bachelor’s or Master’s degree in Software Engineering, Computer Science, or related discipline, or a relevant technical military background with equivalent hands‑on experience., • Candidates must be eligible to hold UK SC security clearance. Desirable Skills • Exposure to safety‑critical standards such as DO‑178 or equivalent, • Experience with Ada within high‑integrity or regulated systems, • Knowledge of MISRA C/C++ or secure coding practices, • Familiarity with automated testing, static analysis, or CI/CD pipelines Why join us? We bring together entrepreneurial, tech‑driven people to deliver innovative solutions for leading companies. At ALTEN, you’ll work on exciting projects, supported by ongoing learning, mentoring, and clear career development tailored to your goals. Join a passionate team and help build tomorrow, today. • A personalised career path and a rewarding management style, • A huge diversity of engineering projects and industries, • Private Medical Insurance, • Cycle & Tech Scheme, • Employee assistance programme, • Life insurance & Pension Scheme, • Social atmosphere, regular gatherings & team buildings, • Flexible way of working (role dependent) We are proud to support the Armed Forces Covenant & actively encourage applications from members of the Armed Forces community, including veterans, reservists, service leavers, and military spouses/partners. We recognise the value of military skills and experience and are committed to ensuring that no applicant is unfairly disadvantaged during our recruitment and selection processes. ALTEN is committed to fostering a diverse and inclusive workplace and values the strength that comes from a global mix of backgrounds and perspectives. We welcome applications from all suitably qualified candidates, regardless of background or protected characteristics under the Equality Act 2010. If you require any reasonable adjustments during the recruitment process, please let us know. This role may require you to have or be willing to go through Security Clearance. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. #J-18808-Ljbffr

Navan has transformed the corporate travel, payment, and expense landscape by consistently prioritizing user needs. We are seeking a Senior Software Engineer (Backend) for our AI-first engineering team to drive the architecture of a next-generation corporate expense management platform. In this role, you will scale backend systems powering global commerce, payments, issuing platforms, and payment/money ledgers, while building infrastructure for automated policy management, granular admin controls, and seamless accounting system integrations. • Build at Scale: Design and develop robust, high-performance features and core services that support the company's flagship product and serve a global customer base., • Solve Complex Problems: Apply deep technical expertise and creativity to address large-scale engineering challenges, driving improvements in reliability, performance, and user experience., • Deliver Customer-Facing Solutions: Take end-to-end ownership of features—from design and development to deployment and operational support—ensuring exceptional quality and value for users., • Collaborate Across Teams: Work effectively as part of a global, cross-functional team, partnering with fellow engineers, product managers, designers, and business leaders to deliver impactful solutions and elevate team performance., • Contribute to Engineering Culture: Champion best practices in code quality, scalability, documentation, monitoring, and testing, fostering a culture of technical excellence, collaboration, and continuous improvement., • Learn and Grow: Stay engaged with new technologies and industry trends, bringing a growth mindset and a passion for delivering elegant solutions to complex problems., • 4-6 years of experience building and scaling complex systems in fast-paced, high-growth, or large-scale environments (open to exceptional candidates with less experience)., • Java & Spring Mastery: Proficiency in Java and Spring Boot, with a solid understanding of JVM performance and optimization., • AI Integration: Proven experience leveraging AI models and AI-driven development to build intelligent, automated features and enhance engineering productivity., • Systems Architecture: Strong experience with distributed systems, microservices, and API design, including practical expertise with AWS or other cloud platforms., • Product Experience: Hands-on experience developing and maintaining consumer-facing or core business products at scale., • Ownership Mentality: A record of delivering production-quality, maintainable code, and supporting features post-release through monitoring and troubleshooting., • Cross-Functional Collaboration: Collaborative team player able to work effectively with global, cross-functional partners., • Technical Excellence: Commitment to engineering best practices in testing, documentation, scalability, and code quality, coupled with a passion for tackling technically demanding and customer-impacting challenges., • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field., • Fintech or payments processing experience is a plus., • Comfort with financial or workflow-heavy domains: expenses, payments, ERP, tax, or similarly high-stakes data. Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role. All final decisions are made by human recruiters and hiring managers. Human oversight: Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application. Your rights: If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated. Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights. Navan (Nasdaq: NAVN) is the global AI-powered business travel and expense platform that makes travel easy for frequent travelers. From finding flights and hotels, to automating expense reconciliation, with 24/7 support along the way, Navan delivers an intuitive experience travelers love and finance teams rely on. See how Navan customers benefit and learn more at navan.com. Our team is our competitive edge — a high-performance group of smart, driven people committed to winning together. This dedication to excellence is why we’ve been recognized as a Best Place to Work by Built In (2023–2026), a G2 Best Global Software Company (2025–2026), Forbes Cloud 100 (2022–2025), and CNBC Disruptor 50 (2022–2025). At Navan, we provide an environment where top talent excels, offering the autonomy and fast-paced trajectory needed to build a defining career and do the best work of your life. Navan offers a comprehensive benefits program designed to support your well-being, financial security, and life outside of work. Our benefits, thoughtfully tailored by country to meet local needs, include healthcare coverage, insurance offerings, and wellness resources for you and your family. We support long-term financial growth through retirement savings programs and opportunities to participate in our equity plans, so you can share in Navan’s success. To promote balance, we offer flexible time off, country-specific holidays, and paid parental leave for all new parents. Additional benefits include connectivity and commuting support, mental health resources, and exclusive travel-related perks. Wherever you’re based, our benefits evolve with you. Navan believes in the value of in-person connections, whether that’s sitting down to have lunch with one another, taking a walking 1:1, or collaborating in a room together. The connections forged through face-to-face interactions improve company culture and drive business results. Navan invests in global office spaces — in the U.S., Europe, and Asia, among others — that feel welcoming. In-office perks such as company-provided lunches and happy hours create a strong team environment to help you do your best work. Our employees work from the office four days a week. Please expect this policy for all roles that are tied to an office. Navan is an equal opportunity employer. We make all employment decisions based solely on merit. We provide equal employment opportunity to all applicants and employees without discrimination on the bases of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We prohibit any such discrimination or harassment. This policy applies to all terms and conditions of employment, including hiring. Navan complies with the Americans with Disabilities Act (ADA), as amended by the ADA Amendments Act, and all applicable state or local law. Navan will reasonably accommodate qualified individuals with a disability in connection with applications for employment as required by law. If you need any assistance or accommodations due to a disability, you are welcome to email us at . As part of the recruitment process, certain personal data may be processed using automated tools, including tools that use AI. For details on how Navan collects and uses your personal data, please review Navan's Candidate Privacy Notice here. #J-18808-Ljbffr

Our Programme Management, Sustainability & Advisory (PMSA) Practice helps clients establish, transform and deliver complex programmes and projects, portfolios and organisations across the built environment. Working across public and private sector clients, we support major buildings and places, property, estates, capital investment and transformation programmes. Our work spans programme and portfolio management, assurance and compliance, business transformation, organisational performance, sustainability, decarbonisation, environmental certification, asset management and strategic advisory services. We combine practical programme delivery expertise with consulting and advisory capability, helping clients solve complex challenges, improve performance and achieve better outcomes for the people and communities they serve. As a growing and ambitious team, we bring together programme managers, PMO professionals, sustainability specialists, advisory consultants, transformation experts and digital practitioners. We offer our people the opportunity to work on nationally significant programmes, develop new skills and play a meaningful role in shaping both client outcomes and the growth of our business. We are seeking a Sustainability Certification Consultant or Senior Consultant to join our growing Programme Management, Sustainability & Advisory team. This is an exciting opportunity for an individual with experience in decarbonisation, net zero carbon strategy, energy and sustainability consulting who wants to help clients develop and deliver practical pathways to achieving their climate and carbon reduction ambitions. Our work spans strategic decarbonisation planning, net zero carbon roadmaps, asset and estate-wide carbon reduction programmes, retrofit strategies, whole-life carbon, energy performance improvement, sustainability advisory and funding support. We work across public and private sector clients, supporting buildings, estates, infrastructure and place-based programmes. We recognise that no candidate will possess expertise across every discipline. We are looking for individuals who bring strengths in decarbonisation and net zero advisory and are motivated to continue developing across the wider sustainability, programme management and advisory landscape. You will work closely clients to develop and deliver decarbonisation strategies, net zero carbon roadmaps and investment programmes across buildings, estates and portfolios. The role will involve establishing carbon baselines, identifying opportunities for carbon reduction and developing practical, evidence-based pathways that balance technical, operational and commercial considerations. You will support the delivery of heat decarbonisation plans, estate-wide retrofit strategies, energy and carbon management programmes, funding applications and business cases, while analysing energy and asset data to inform recommendations and strategic decision-making. You will prepare high quality technical reports, presentations and advisory outputs, facilitate workshops and stakeholder engagement activities, build trusted client relationships and work collaboratively with multidisciplinary teams to help organisations translate their net zero ambitions into deliverable programmes of work. You will also contribute to business development activities, support bids and proposals, help develop new service offerings, and play an active role in the growth of the Programme Management, Sustainability & Advisory team. We welcome applications from candidates who have experience delivering decarbonisation, sustainability or net zero carbon projects within the built environment. A degree in engineering, sustainability, environmental science, building services, or a related discipline would be beneficial. • Professional qualifications such as Ceng and CIBSE IEMA or similar professional recognition would be advantageous but are not essential., • An understanding of industry standards and frameworks such as PAS 2035, the GHG Protocol, UK Net Zero Carbon Building Standard and related sustainability frameworks would be beneficial., • Equally important is a track record of building strong client relationships, delivering successful outcomes and working collaboratively within multidisciplinary teams., • Excited by the opportunity to have a major impact on an ambitious and rapidly growing team., • Highly adaptable, creative and able to pick up new concepts and deliver in ambiguous environments., • Ability to work in an agile manner, working flexibly to ensure deadlines are achieved., • Able to work at a strategic level, but also analytical and able to quickly process information or data., • Charismatic, resourceful, energetic and enthusiastic., • Individually strong but a great team player, who seeks diversity of thought and engagement from others., • Engaging and approachable with strong communication and presentation skil #J-18808-Ljbffr

We are a fast-growing startup at the intersection of quantum computing and financial services, applying cutting-edge technology and innovative solutions to solve complex business problems for our clients. We are a fast-growing startup at the intersection of quantum computing and financial services, applying cutting-edge technology and innovative solutions to solve complex business problems for our clients. Our mission is to deliver real-world impact through high-quality product development, operational excellence, and strategic client engagement. We value collaboration, curiosity, and ownership, and are building a team that thrives in a fast-paced, high-growth environment. As a foundational scientific hire, you will shape the algorithmic direction of the company. You will conduct deep research into classical and quantum algorithms, design hybrid quantum-classical methods, and prototype new approaches relevant to financial institutions. You will take ownership of algorithmic development in areas such as algorithmic trading, market making, risk analytics, derivatives pricing, and fraud detection. This role is ideal for someone who is driven by mathematical elegance, scientific depth, and the ambition to translate quantum research into real-world, commercially meaningful solutions. Quantum & Classical Algorithm Research Design, prototype, and benchmark quantum algorithms for finance: QML, variational circuits, simulators, quantum optimization (QUBOs, annealing), quantum Monte Carlo, PDE solvers, and quantum-enhanced signal-processing models. Explore frontier areas including QML, hybrid workflows, error mitigation, advanced compilation, and noise-resilient optimisation. Conduct foundational research in quantum information, spectral methods, TDA, tensor networks, Fourier transforms, complexity theory, and related mathematical frameworks. Identify, develop, and test quantum and hybrid algorithms that work on near-term quantum hardware (NISQ). Evaluate and integrate existing AI/ML models where appropriate rather than reinventing from scratch. Analyze algorithmic performance, scalability constraints, and robustness to noise. Produce high-quality research notes, white papers, and internal memos guiding product strategy. Work with engineering and product partners to translate research into platform features. Contribute to high-impact publications, technical blogs, or conference papers. MSc or PhD in Mathematics, Physics, Computer Science, Quantum Computing, or related fields. Preference for deep theoretical domains: differential geometry/topology, topological data analysis (TDA), spectral analysis, information theory, quantum physics/computing. Strong understanding of quantum mechanics, quantum circuits, qubit systems, and advanced quantum computing concepts. Solid knowledge of ML theory, optimization, Monte Carlo methods, Fourier transforms, neural networks, and algorithmic complexity. Hands‑on experience with at least one quantum programming framework. Fluency in Python, vectorization and scientific computing libraries (NumPy, SciPy, Pandas). Ability to reason rigorously, communicate research clearly, and tackle open‑ended scientific problems. Passion for the intersection of mathematics, AI, and quantum computing. Management of supervisory experience. Research publications or open‑source contributions. Experience with financial modelling, risk analytics, or quantitative methods. Understanding of optimisation theory (linear/non-linear, continuous/discrete). Familiarity with hybrid architectures, variational methods, and tensor networks. Some exposure to production systems or data engineering is a plus but not required. #J-18808-Ljbffr

We are seeking talented and motivated data professionals with experience in Data Engineering, Data Analysis, or Data Science who are looking to further develop their careers towards Data Architecture. This role offers the opportunity to work on large-scale, business-critical data initiatives, helping organisations design, build, and optimise modern data platforms and solutions. You will collaborate with technical teams, business stakeholders, and customers to deliver high-quality data solutions that enable informed decision-making and drive digital transformation. • Design, develop, and maintain scalable data pipelines and data platforms., • Support the architecture, implementation, and optimisation of modern data solutions., • Create and maintain logical and physical data models., • Ensure data quality, governance, and best practices are embedded throughout the data lifecycle., • Work closely with stakeholders to understand business requirements and translate them into technical solutions., • Contribute to data strategy, architecture discussions, and technology recommendations., • Support the delivery of cloud-based and enterprise-scale data solutions., • Collaborate with cross-functional teams in agile delivery environments., • 3-5 years of experience in Data Engineering, Data Analysis, Data Science, or a related data-focused role., • Knowledge of data architecture principles and modern data platforms., • Experience with data modelling techniques and methodologies., • Strong analytical and problem-solving skills., • Excellent communication and stakeholder management abilities., • Experience working with large datasets and data transformation processes., • Ability to engage effectively with both technical and non-technical audiences. #J-18808-Ljbffr

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations be future ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship, and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out www.careers.indegene.com What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth in your career at this point and we would love for you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We believe in creating leaders of tomorrow and mentor our leads to help them grow and nurture them as people managers and account managers. We are a rapidly growing global organization and are scouting for the best talent for this phase of growth. With us, you are at the intersection of two of the most exciting industries of healthcare and technology. We offer global opportunities with fast-track careers while you work with a team that is fueled by purpose. The combination of this will lead to a truly differentiated experience for you. Integrated Consulting is Indegene's consulting business, helping life sciences organizations solve complex business challenges and deliver transformative outcomes. Our teams partner with clients to shape strategy, redesign operating models, enable organizational change, improve customer experiences, and accelerate business transformation. We work at the intersection of strategy, execution, data, technology, and adoption ensuring that recommendations translate into measurable business value and sustainable impact. Consultants operate as an independent contributor, managing their own priorities against delivery risk while building genuine client relationships and a growing awareness of the commercial levers behind engagement and firm performance. • Support transformation programs from strategy through execution, • Develop recommendations that address people, process, technology, and operating model considerations, • Support stakeholder alignment and change adoption activities, • Own the analysis, structure and output of an assigned workstream end-to-end, • Manage own time and priorities against delivery risk and client value, • Contribute to problem framing, hypothesis generation and solution design, • Build working-level trust with client stakeholders through consistent, reliable conduct, • Adapt delivery approach when scope or client requirements shift, without losing momentum, • Independently delivers quality workstream outputs on time, with proactive risk identification, • Develops a solid understanding of the client's business, industry and key dynamicsBuilds trust-based relationships with client contacts that extend beyond task completion, • Contributes meaningful hypotheses and structured problem-solving to the wider team, • Typically 2-4 years of experience in top-tier management consulting firm(s) with demonstrable credentials working on commercial transformation programs for life science companies., • Bachelor's or Master's degree in business, technology, engineering or related field., • Excellent business acumen in navigating complex client-side stakeholder communities, change management, and client impact orchestration., • Knowledge of the life science industry preferred, having worked with stakeholders across different verticals., • Strong interpersonal, listening, critical thinking, presentation, and writing skills., • An entrepreneurial mindset and someone who takes pride in delivering outstanding work., • You will be based in our UK office (London) and may visit clients around the world. (All candidates must be eligible to work in the relevant location) Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, candidate's merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics. #J-18808-Ljbffr

Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems—across high-stakes industries like finance, manufacturing, defense, healthcare, and the public sector—co-creating customized AI systems that they can run on their terms. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between Europe, North America, Asia and the Middle East. We are creative, low-ego and team-spirited. Mistral is looking for AI Scientists with deep expertise in engineering sciences and machine learning to push the frontier of AI-accelerated simulation. Within AI4Engineering Science, you will research and train foundational physics models which are substantially more capable than what exists today and can be fine-tuned for downstream applications by both customers and internal teams. You will work across the full research stack: curating high-fidelity simulation datasets, designing and training novel model architectures, and rigorously evaluating them against real engineering validation standards. Working closely with the broader research organization, you'll ensure the foundation models you build are general enough to become the backbone of many downstream products, not just a single point solution. This role builds on a strong, world-class foundation, and the goal is to take it further. You'll work one vertical at a time toward foundation models that genuinely transfer and fine-tune across engineering tasks, with high-quality simulation data pipelines, physics-based evaluation, and uncertainty / out-of-distribution estimation as first-class concerns. There's no inherited playbook for most of what's left to do: you'll help define the architectures, training strategies, and validation standards the team builds on, not just extend an existing one. • Research and train novel foundation models for physics simulation, pushing past today's state of the art in accuracy, generalization, and scale, • Design and run large-scale simulation campaigns using domain-specific solvers to build the high-fidelity datasets foundational physics models need, • Investigate architectures and training strategies (e.g. multi-fidelity training, pretraining objectives, scaling behavior) that let a single foundation model transfer and fine-tune well across diverse engineering tasks, • Rigorously evaluate model coverage, accuracy, and robustness against industry validation standards, and diagnose failure modes arising from data gaps or architecture limitations, • Stay on top of the latest developments in the scientific community and contribute to Mistral's standing at the frontier of AI-for-engineering research, • PhD or Master's in CS/AI or an engineering science: Mechanical Engineering, Electrical Engineering, Computational Fluid Dynamics, Structural Mechanics, EDA, Semiconductor Engineering, or a related field, • Strong, hands-on machine learning expertise with a deep understanding of model architectures, training dynamics, and evaluation methodology is core to this role, • You have developed ML methods for simulation or surrogate modelling, • You write clean, readable Python code and are comfortable in Linux/HPC environments, • Fluent English with excellent communication skills, able to explain technical simulation and ML concepts to both engineering and non-technical audiences, • Self-directed, you don't need detailed roadmaps to make progress, • Low-ego, collaborative, and eager to learn at the intersection of simulation and ML, • Demonstrated success through industrial projects, academic work, or personal projects, • Have industrial or academic experience with simulation solvers (e.g. OpenFOAM, LS-DYNA, ANSYS, COMSOL, Abaqus, Fluent, STAR-CCM+, PowerFlow, NekRS, Tau/CODA, JAX-Fluids, or equivalent; Cadence/Synopsys/Siemens EDA or equivalent), • Have experience automating large-scale simulation campaigns on HPC clusters, • Have contributed to a large open-source or industry codebase, • Have publications in engineering or ML venues (AIAA, ASME, JFM, NeurIPS, ICLR, etc.) We offer a comprehensive benefits package designed to support your well-being, growth, and work-life balance. Benefits vary by country and may include healthcare coverage, parental leave, retirement plans, relocation support, wellness programs, meal and transportation allowances, and other location-specific perks. For the most up-to-date details on benefits available in your location, please refer to our Benefits page. Your privacy matters to us. You can learn more about how we handle your personal data in our Applicant Privacy Policy. #J-18808-Ljbffr