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We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Join us to rethink how sports are experienced. Our AI-driven platform powers immersive, personalised live sports—giving fans control, fresh perspectives, and predictive insights during the action. As a Principal Machine Learning Engineer, you’ll shape the technical strategy and delivery of production ML systems that transform raw sports data and live video into real-time insights and personalised experiences for millions of fans. For this role we offer the hybrid working approach with 2 days a week onsite in Osterley office. What you’ll do: You’ll be the technical lead for a critical ML domain (e.g., live sports insights and personalisation, real-time ranking, computer vision for multi-angle video, or streaming inference). Expect to influence roadmaps, architecture, and platform evolution—not just single models—while mentoring engineers and data scientists and raising the bar across teams. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams. Generate actionable insights for player performance, contextual statistics, and injury risk by designing models with embedded responsible and ethical AI principles from design through deployment. Integrate model driven insights into personalisation engines, tailoring recommendations based on favourite teams, players, match context, and other signals while ensuring transparency, fairness, and appropriate use of data. Define advanced experimental designs, lead A/B testing, develop and maintain metrics and dashboards, establish robust MLOps practices, and own end-to-end productionisation from data ingestion through deployment and ongoing model monitoring. Design, architect, and operate low latency, highly reliable cloud based AI systems for live sports scenarios, ensuring resilient performance during peak traffic, responsible model behaviour in real time, and an optimal balance between cost, latency, and production scale performance. What you'll bring Proven extensive lead level engineering experience delivering data–driven ML systems, with clear ownership of technical direction, mentoring, and delivery. Working knowledge of modern ML techniques, including Generative AI, and how emergent models can extract insights from multimodal sports data (e.g., numerical, spatial, video, or metadata). Advanced Python expertise with strong hands-on use of ML/DL frameworks (e.g., PyTorch, TensorFlow), including taking models from experimentation into production model serving. End-to-end MLOps experience, including CI/CD for ML, experiment tracking, model registries, drift detection, automated retraining, and infrastructure as code practices. Proven technical leadership experience including mentoring and guiding Senior and Mid-Level Data Scientists both in their day-to-day work and career development. Experience of working in a fast-changing environment is vital demonstrating adaptability and ability to support the team through times of uncertainty, pivoting as necessary. Nice to have Understanding of sports data, including hands-on experience working with event data, tracking data, or other high-volume sports datasets, and converting these into actionable analytical or predictive insights. Being a Sports Fan – we immerse ourselves in Sport so having a passion for sport and a desire to push the sports experience to the next level is a real bonus. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here’s a taster: Sky Q, for the TV you love all in one place The magic of Sky Glass at an exclusive rate A generous pension package Private healthcare Discounted mobile and broadband A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We’ve embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You’ll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space Osterley Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There are also plenty of bike shelters and showers. On campus, you’ll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed, and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It’s a place where you can explore what if, how far, and what next. But better doesn’t stop at what we do, it’s how we do it, too. We embrace each other’s differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we’ll back you all the way. Just so you know: if your application is successful, we’ll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems, • Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for • Deep expertise in Python and ML engineering, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures, • Track record of leading ML/AI technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG), • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems, • Experience designing and scaling low-latency, customer-facing ML/AI architectures, • Proven experience setting a multi-team ML/AI technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving ML engineering standards and best practices across organisations, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems, • Experience leveraging enterprise platforms to deliver business use cases at scale, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

hackajob is partnering directly with Kingfisher to hire for this role. \n We're Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas - to life. That's right, we're big, but we have ambitions to become even bigger and even better. We want to become the leading home improvement company and grow the l... \n \n ZIPC1_UKTJ

Software Engineer MUST have: Computer Science or Machine learning BSc or Masters or PhD from a top 40 University Globally Excellent Java and/or C++ experienceSQLGood understanding of general programming concepts, diligent coder.

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities- Maintain and follow strict confidentiality as customer privacy is our biggest tenet- Work with a range of different types of data including but not limited to text, speech, image, and video- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.- Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously.- Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team- Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions- Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks- Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations- Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.Basic qualifications- Associate's degree or above- Speak, write, and read fluently in Portuguese- Speak, write, and read fluently in English at C1 level or above- Experience writing business strategy documents and plans- Experience in research, gathering and synthesizing information from multiple sources.Preferred qualification - Bachelor's degree or above- Knowledge of Microsoft Office products and applications at an advanced level- Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization- Experience in relevant work- Experience using open-source resources for research- Ability to read and analyze complex business documents.- Ability to interpret and implement detailed instructions across various projects.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Joining as an Actuarial Analyst, you’ll be part of a pioneering Analytics Team dedicated to enhancing processes and systems. This role offers exposure to extensive data projects encompassing data analytics, programming, machine learning and Research and Development, giving you a chance to take a senior role and lead several high profile projects. Collaborating across SCOR, you’ll contribute to acquiring new business and fostering market initiatives for profitability. Additionally, you’ll have the chance to collaborate with the global SCOR team, expanding your professional network and experience.Joining in this role you will help support the Analytics team deliver its strategic plan, where we aim to ‘Intentionally improving outcomes for customers, for clients, the market and SCOR’. You will help us deliver on all three of our strategic pillars:Understanding distribution – helping to reduce misrepresentation across the market and improve the quality of distribution through working with our clients.Data services – improving fairness and accuracy of risk pricing and maximising the impact of our data capabilities.Bring in new customer – expanding the protection net and helping more people get protected.Utilising new data technique and technology will underpin our ability to deliver our strategic plan and this role is key to helping us achieve this.As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying “The Art & Science of Risk,” SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.Working at SCOR means engaging with some of the best minds in the industry – actuaries, data scientists, underwriters, risk modelers, engineers, and many others – as we work together to find solutions to pressing challenges facing societies.As an international company, our common culture is defined by “The SCOR Way.” Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.Essential: Experience of working both within a team and as a self-motivated individualExperience in handling and analysing large datasets and data visualisation techniques and software.Good working knowledge of Microsoft packages (particularly Excel/Access)Good knowledge or experience of coding Python and/or R or the desire to learn coding.Desirable:Interest or knowledge of data science and machine learning technique Some Actuarial training (actuarial trainees or those who have given up exams will both be considered)Pricing experience with Knowledge of PROPHET and SASPersonal CompetenciesExcellent analytical skillsSelf-motivationCustomer focusTeam workAttention to detail Excellent communication and interpersonal skillsRequired EducationUndergraduate Degree in Actuarial Science, Mathematics, Data Science or other numerical degree, or equivalent qualificationsDeveloping and enhancing predictive modelsBuilding new, and enhancing existing, predictive models will be a core part of the role. This could include:Cleaning and analysing large data sets to prepare data to build new predictive models.Building, training and testing new models or techniques to find most appropriate model for the required task.Ensure results are sensible and explainable to non-experts.Large data handling and explorationWorking and managing large underwriting data sets to help support innovation around the future of underwriting.Support the development of large internal databases at the centre of the firm’s long-term data strategy.Analyse internal data to contribute to MI, profitability analysis, client management and research.Learn, develop and deploy the necessary techniques and tools required to analyse large datasets for commercial insight.Research and developmentContributing significantly to SCOR’s Research and Development activities, including working on mortality and morbidity trends and base tables. Identifying and find new data sources that can deliver value to our clients, customer or internally. Identify appropriate external research and derive analyses from external data sets.Produce accurate documentation of research work carried out and help write reports and presentations to communicate findings both internally and externally.Pricing and risk controlFeedback data project results into internal risk control, internal pricing basis or providing commercial insights to our clients. Support the development of large internal databases at the centre of the firm’s long term data strategyLearn, develop and deploy the necessary techniques and tools required to analyse large datasets for commercial insightWorking and collaborating with internal stakeholders and our clients to ensure all stakeholders are kept informed of progress.Client and stakeholder management Sharing results, insights and learnings across the business. Posting Date: 2026-07-09

About the role:As a Principal Machine Learning Scientist, you will be the technical anchor for our core discovery engine. If you are passionate about building state-of-the-art AI systems and mentoring a high-performing team of scientists, this role is for youWhat You'll DoTechnical Leadership & Exec

Job ID: 97130412432Posted: 2026-07-13Location: London, England, United KingdomCategory: Technology, Applications Development, ProfessionalCompany: CitiEngineer the future of global finance. At Citi, our Tech team doesn’t just support finance – we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech.Citi is looking for a highly skilled and innovative Full Stack Engineer with a strong background in modern enterprise architecture and a passion for Artificial Intelligence. This role will be instrumental in designing, developing, and implementing robust, scalable, and AI-enabled solutions across our platforms. The successful candidate will possess deep expertise in Java, Angular, microservices, and event-based architectures, combined with a proven ability to leverage agentic AI to create intelligent agents that solve complex business challenges. This is an exciting opportunity to contribute to Citi's digital transformation by integrating advanced AI capabilities into our core engineering practices.Key Responsibilities:Design, develop, and maintain high-performance, scalable, and secure full-stack applications using Java, Angular, microservices, and event-based architectures.Lead the integration of AI capabilities into existing and new applications, focusing on creating and deploying agentic AI solutions for various business use cases.Collaborate with data scientists, AI researchers, product managers, and other engineering teams to translate business requirements and AI models into production-ready software.Architect and implement microservices and event-driven systems that are resilient, fault-tolerant, and performant.Develop front-end user interfaces using Angular, ensuring an intuitive and responsive user experience.Contribute to the entire software development lifecycle, including requirements gathering, design, coding, testing, deployment, and operational support.Promote and implement best practices in software engineering, including code quality, testing, CI/CD, security, and documentation.Stay abreast of emerging technologies and trends in full-stack development, AI, and agentic systems, recommending and implementing innovative solutions.Mentor junior developers and actively participate in code reviews, fostering a culture of technical excellence and continuous learning.Qualifications / Education:Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.Experience:Significant hands-on experience in full-stack software development.Proven experience in designing and building scalable, high-performance microservices.Demonstrated experience with event-driven architectures (e.g., Kafka, RabbitMQ).Solid experience with modern front-end frameworks, specifically Angular.Experience with AI technologies, including machine learning, natural language processing, or other AI domains.Specific experience with agentic AI development, including designing, building, and deploying intelligent agents for business applications.Technical Skills:Languages: Expert proficiency in Java and TypeScript/JavaScript.~Back-end:Strong expertise in Java development, including Spring Boot, Spring Cloud.Extensive experience with microservices architecture principles and patterns.Hands-on experience with message brokers and event streaming platforms (e.g., Apache Kafka, RabbitMQ).Proficiency with relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).Front-end:Expertise in Angular framework (versions 2+), including NgRx or other state management patterns.Strong understanding of HTML5, CSS3, and responsive web design.DevOps & Cloud:Experience with containerization technologies (Docker) and orchestration (Kubernetes).Proficiency with CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps).Experience with cloud platforms (e.g., AWS, Azure, GCP) and their relevant services.AI/ML:Familiarity with AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, LangChain, LlamaIndex).Direct experience in developing, integrating, and deploying agentic AI systems.Leadership & Soft Skills:Excellent problem-solving, analytical, and critical thinking skills.Strong communication and interpersonal skills, with the ability to articulate technical concepts to both technical and non-technical audiences.Ability to work effectively in a fast-paced, agile, and collaborative team environment.Proactive, self-motivated, and results-oriented with a strong sense of ownership.Preferred Qualifications:Experience in the financial services industry.Knowledge of domain-driven design and clean architecture principles.Experience with observability tools (e.g., Prometheus, Grafana, ELK stack).Contributions to open-source projects or active participation in developer communities.What we’ll provide you:By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:27 days annual leave (plus bank holidays)A discretional annual performance related bonusPrivate Medical Care & Life InsuranceEmployee Assistance ProgramPension PlanPaid Parental LeaveSpecial discounts for employees, family, and friendsAccess to an array of learning and development resourcesVisit our Global Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Applications Development------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.

Company DescriptionWe’re ASOS, the online retailer for fashion lovers all around the world.We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you’re free to be your true self without judgement, and channel your creativity into a platform used by millions.But how are we showing up? We’re proud members of Inclusive Companies, are Disability Confident Committed and have signed the Business in the Community Race at Work Charter and we placed 8th in the Inclusive Top 50 Companies Employer list.Everyone needs some help showing up as their best self. Let our Talent team know if you need any adjustments throughout the process in whatever way works best for you.Job DescriptionWe’re looking for a Senior Machine Learning Engineer to join our cross‑functional Personalisation team. In this role, you’ll help design, build and run machine learning systems that enable customers to discover and shop outfits that reflect their personal style as well as current fashion trends.This is a senior individual contributor role where you’ll work closely with engineers, data scientists and product partners to productionise machine learning at scale. Our mission is to continuously improve the customer experience through thoughtful, responsible and high‑impact use of machine learning.What you’ll be doingWorking as part of an agile, cross‑functional team to build and improve algorithms used in areas such as pricing and customer targetingCollaborating with scientists and engineers to implement and deploy machine learning solutions at scale, supporting hundreds of millions of products and customersDeploying and maintaining both batch and real‑time machine learning models in production environmentsImproving and evolving our codebase, tooling and platforms, and contributing to the design of new features and capabilitiesSupporting and mentoring more junior team members, helping them develop their technical skills and confidenceContributing to technical direction, helping define machine learning standards, and sharing knowledge across ASOS’s wider ML and engineering communityQualificationsAbout you:Professional experience applying machine learning in real‑world, production environments, with a focus on deep learning techniquesExperience working with recommendation or ranking systems (or a strong interest in this space)Familiarity with modern deep learning frameworks and distributed computing approaches for training large‑scale modelsExperience training models across GPUs using data and/or model parallelism, or enthusiasm to deepen your knowledge in this areaA solid understanding of software engineering principles, including data pipelines, CI/CD, containerisation and observability, with exposure to MLOps practices and toolingComfortable providing technical guidance, mentoring and support to a small number of less‑experienced engineersEnjoy collaborating across teams and contributing to shared engineering initiativesAdditional InformationBeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Retail

AI ACCELERATORMost diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator’s mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data to identify novel therapeutic targets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest. A core component of the AI Accelerator is AI Systems, a team focused on designing, building and deploying multimodal foundation models across the vast biomedical data landscape that will be used within Computational Innovation to enhance and accelerate portfolio decision-making. THE POSITIONWe are seeking a Staff AI Scientist to join AI Systems within Computational Innovation’s AI Accelerator. In this role, you will design and develop state of the art biomedical foundation models that learn rich representations from multi-omics, clinical and imaging data, advancing the field while directly enabling downstream teams to deploy AI capabilities to computational biologists and human geneticists that segment patient populations, uncover novel, disease-driving biology and ground that biology in genetics. You will be a highly experienced, independent AI Scientist within AI Systems, owning complex research workstreams and contributing meaningfully to the scientific direction of the team. Working within the wider research strategy and architectural vision set by the Senior Staff AI Scientist, you will own significant research programmes and bring deep specialist expertise across AI-driven life sciences, growing your influence over the team’s broader research agenda over time. This is a hands-on role with responsibility for leading a multidisciplinary squad that executes on AI Accelerator initiatives. You will work in close partnership with ML Engineers throughout the research and implementation process and contribute to the development of more junior AI Scientists. KEY RESPONSIBILITIESOwn and lead significant research workstreams in multimodal biomedical foundation model design, bringing deep specialist expertise across at least two biomedical data modalities from multi-omics, clinical and health records, medical imaging. Develop and validate novel approaches for learning from biomedical data, producing well-documented and reproducible research that ML Engineers can implement effectively. Design and run rigorous experiments to test multi-modal model architectures, training approaches and methods, interpreting results with scientific rigour and validating outputs against biomedical expectations as well as statistical benchmarks. Work closely with the Applied AI teams and computational biologists and human geneticists to understand needs and ensure models are developed with downstream therapeutic applications in mind. Work closely with ML Engineers throughout the research and implementation process, ensuring architectural decisions are scientifically ambitious, practically feasible and accurately reflected in production model components. Publish research findings in peer-reviewed ML and biomedical AI venues, contributing to the team’s scientific credibility and external profile. Mentor Senior AI Scientists by providing technical guidance, reviewing experimental designs and helping them develop greater research independence. REQUIREMENTSPhD in machine learning, computer science, computational biology, bioinformatics or a related quantitative field, with a strong publication record in ML or biomedical AI venues relative to career stage. Deep understanding of typical foundation model architectures such as transformers and expertise in self-supervised learning, pre-training, transfer learning and fine-tuning. Strong software engineering practices, including clean, testable, well-documented and reproducible research code, with proficiency in Python and deep learning frameworks such as PyTorch or JAX. Familiarity with distributed training frameworks and large-scale biomedical data processing, with demonstrated ability to take research from novel idea through rigorous experimentation to validated prototype. Strong ability to engage with computational biology and human genetics questions in the context of drug discovery and translate them into research directions that deliver meaningful capability to Applied AI and Analytics. Experience operating in a matrixed setting as a technical lead. WHY THIS IS A GREAT PLACE TO WORKBoehringer Ingelheim has been recognised as a Top Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies.To learn more about why BI is a great place to work, visit:

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.Hudson River Trading (HRT) is seeking exceptional full-time PhD students to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability. You can expect to apply your advanced academic research experience and expertise to impactful real world problems in trading across time horizons and machine learning strategies.Ideal candidates are excited to apply their research expertise to identify new opportunities in worldwide markets, enjoy both self-guided research and collaborating with others to analyze and fix problems efficiently, and are critical thinkers who can learn and implement new skills in a fast-changing environment.QualificationsYou are a full-time PhD student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027Fluency in PythonExperience with statistical analysis, numerical programming, or machine learning in Python,Pandas/Numpy, R, and/or MATLABBrilliant analytical and problem-solving skillsAbility to work creatively and independently on long-term technical problemsBase salary for US is $300,000. Other locations have similarly locally competitive base salaries. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.CultureHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

We do not allow multiple applications. Please apply to the ONE role you are most interested in and we will consider you for all open positions when reviewing your application.Hudson River Trading (HRT) is seeking exceptional quantitative thinkers to join our Algorithm Development teams in New York, London, and Singapore. Algorithm Developers at HRT are responsible for building and maintaining the models that drive our trading. A typical day involves applying rigorous statistical analysis to vast quantities of market and financial data to produce predictive trading models.In this role, you will work alongside fellow Algorithm Developers and Software Engineers to research, develop, and test novel order execution and model training methods to increase trading efficiency. This will involve running models live on our high-performance trading infrastructure and analyzing daily performance to maintain ongoing profitability.Ideal candidates are strong researchers eager to learn new skills, who can work both independently and collaboratively to solve problems efficiently.QualificationsYou are a full-time undergraduate or masters student in a quantitative discipline (math, physics, computer science, statistics, or a related program) who is eligible for full-time roles in 2027Experience programming in Python and/or C++Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLABA passion for applying quantitative models and technology toward solving real-world problemsBrilliant analytical and problem-solving skillsAbility to work creatively and independently on long-term technical problemsBase salary for US is $300,000. Other locations have similarly locally competitive base salaries. A sign-on and discretionary performance bonus will be provided as part of the total compensation package, in addition to company-paid medical and/or other benefits.CultureHudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you.Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

Hybrid in London, United KingdomWe're looking for a Data Scientist to join the iwocaPay Risk SquadYou'll own credit models that decide who iwocaPay can safely fund and on what terms. The team is small, the product is growing, and you'll shape how risk modelling is built – not just maintain what exists.The companySmall businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are.That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.We’ve already cleared the way for 100,000 businesses with more than 4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.The functioniwoca's Data Scientists specialise in supervised machine learning, statistical inference and exploratory data analysis, focusing on tabular and time series data. Our work emphasises quantitative predictions through the analysis of conditional probabilities and expectations, using medium-sized datasets.The teamiwocaPay is iwoca's B2B Buy Now Pay Later product. The Risk Squad owns the automated credit decisioning and fraud prevention models that influence every lending decision the product makes. The squad also handles counterparty risk, portfolio-level strategy, and ongoing monitoring of losses, chargebacks, and segment performance.The roleYou'll co-own the full credit modelling stack with one other data scientist. You’ll collaborate on model design, review each other's work, and choose what to prioritise. Your models directly control which small businesses get access to funding, on what terms, and how far the product can grow.What you'll get out of it:Complex problems to solveWork on interesting, open modelling problems rather than maintenance. Improving how the model performs across segments, test more advanced approaches, and build models from scratch for new products.Real influenceYou own the models end to end, and your decisions carry commercial weight.Room to developA small team on a growing product means broad remit, fast growth, and a say in how the team's pipelines, monitoring, and processes get built.The requirementsEssential:Expertise in supervised machine learning on tabular data, with experience building and iterating production models end to end (exploration through deployment and monitoring).Strong statistical foundations in probability, uncertainty quantification, model calibration, and in reasoning about where a model is likely to be wrong.Ability to work independently in a messy, early-stage environment – scoping problems, building infrastructure, and shipping models autonomouslyPragmatism about what ‘good enough’ looks like commercially, balanced with rigour on high-stakes models.Data engineering capability – building pipelines and managing datasets alongside the modelling work.AI fluency – using AI to build, automate, and accelerate substantive analytical and engineering work.Clear communication – you can adapt technical detail for non-technical colleagues working in product, risk, and leadership.Bonus:Experience with credit risk modelling or financial services lending.Familiarity with transfer learning, domain adaptation, or techniques for combining datasets of different sizes and relevance.Experience with non-linear models (gradient boosting, neural networks on tabular data) in production settings.Python proficiency – it's what the team uses day to day.The salaryWe expect to pay from 60,000 – 80,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.The cultureAt iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective.We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them.The officesWe put a lot of effort into making iwoca a great place to work:Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.The benefitsFlexible working hours.Medical insurance from Vitality, including discounted gym membership.A private GP service (separate from Vitality) for you, your partner, and your dependents.25 days’ holiday per year, an extra day off for your birthday, the option buy up to ten more days or up to five, and unlimited unpaid leave.A one-month, fully paid sabbatical after four years.Instant access to external counselling and therapy sessions for team members that need emotional or mental health support.3% Pension contributions on total earnings.An employee equity incentive scheme.Generous parental leave and a nursery tax benefit scheme to help you save money.Electric car scheme and cycle to work scheme.Two company retreats a year: we’ve been to France, Italy, Spain, and further afield.And to make sure we all keep learning, we offer:A learning and development budget for everyone.Company-wide talks with internal and external speakers.Access to learning platforms like Treehouse.Useful links:iwoca benefits & policiesInterview welcome packCompensation Range: 60K - 80KLocationLondonEmployment TypeFull timeDepartmentData ScienceCompensation60K – 80K

Company DescriptionWork with Us. Change the World.At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.We're one global team driven by our common purpose to deliver a better world. Join us.Job DescriptionIn AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact.With our AI Engineering team we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms. There has never been a better time to be at AECOM. We are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact.We invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us.What You’ll DoAs part of our AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. This is a high-ownership role where your decisions directly affect developer velocity and production stability.Build and maintain robust ML pipelines for training, deployment, and monitoring Develop backend systems and APIs that integrate AI into our SaaS platform Take ownership of the ML performance, monitoring, availability, and security Collaborate with ML engineers, data engineers, and product teams to deliver features end-to-end Contribute to architecture decisions for scalable, cloud-native ML infrastructure Stay up to date with the latest in MLOps practices and tools, and bring improvements into the workflow QualificationsMust-Have QualificationsBachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience) Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) Experience with CI/CD pipelines and cloud environments (we use Azure) Strong communication skills and a collaborative mindset Preferred SkillsExperience with model versioning and experiment tracking (e.g. MLflow, Weights & Biases) Understanding of optimizing both CPU-bound and GPU-bound workloadsKnowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack) Background in optimization, reinforcement learning, or generative AI (a plus, not required) Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus) Additional InformationOur Hiring Process25-minute screening callTake-home challenge: A hands-on task to assess your problem-solving and technical skillsCombined technical and cultural interview (in-person)Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challengeCulture fit: 30-minute meeting with our leadership teamWhy Join Us?Work on real-world problems where AI creates measurable impact.Be part of a team where your work matters, and your ideas become real.Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards.Contribute to making the built environment smarter and more sustainable.At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.About AECOMAECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle — from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.What makes AECOM a great place to workYou will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects—both in your local community and on a global scale—that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address ReasonableAccommodationsUKI@aecom.com if you would like to apply through the Disability Confident Interview Scheme.All your information will be kept confidential according to EEO guidelines.SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Construction

AI EngineerA global leader in professional services is expanding its AI Centre of Excellence as part of continued investment in its Generative AI capability. They are hiring an Agentic AI Architect to shape and deliver transformative AI and Generative AI strategies for some of the world's most ambitious clients, covering everything from research to deployment.This is an opportunity to work at the forefront of enterprise AI, leading the design, development and secure deployment of advanced AI pipelines, from requirement gathering, data acquisition and model development through to evaluation and production. You will design and oversee state-of-the-art AI models, ensuring they are scalable, efficient and robust.Location: Hybrid in London, with travel to client sitesSalary: 80,000 to 100,000 + BenefitsTo be consideredMinimum of 3 years' experience focused on Generative AI / LLM-based systems.Must have led the end-to-end delivery of at least one production-grade Generative AI or LLM solution, from design through to live deployment at scale.Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph.Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline.This is an excellent opportunity for a senior AI leader to shape Generative AI strategy at scale, work with world-leading clients, and help build a centre of excellence at the cutting edge of the field.To find out more, apply now.

This is your opportunity to join AXIS Capital – a trusted global provider of specialty lines insurance and reinsurance. We stand apart for our outstanding client service, intelligent risk taking and superior risk adjusted returns for our shareholders. We also proudly maintain an entrepreneurial, disciplined and ethical corporate culture. As a member of AXIS, you join a team that is among the best in the industry.At AXIS, we believe that we are only as strong as our people. We strive to create an inclusive and welcoming culture where employees of all backgrounds and from all walks of life feel comfortable and empowered to be themselves. This means that we bring our whole selves to work. All qualified applicants will receive consideration for employment without regard to any protected characteristic, including age, color, disability, ethnicity, gender identity, marital status, national origin, pregnancy, race, religion, sex, sexual orientation, veteran status, or any basis prohibited by the laws that govern its operations.What will you do in this role?To act as key support to The Head of Underwriting Governance, Execution and the development of Underwriting strategy.Support with the implementation and management of the Group’s underwriting governance framework, including implementing a consistent referral framework and provide oversight of the post-bind review of underwriting framework.Lead the ongoing oversight and management of updates to the Group’s underwriting governance framework, notably including aligning underwriting guidelines to annual business plans.Assist in implementation of changes to underwriting strategies to ensure continuous alignment with plans, wider AXIS objectives or in response to market developments.Support with the design, development and implementation of new underwriting strategies across the group.Work closely with underwriting teams and the CUO function to identify emerging underwriting trends and formulate action plans to remediate issues.Develop, manage, and coordinate high‑quality executive‑level materials, including decision memos, presentations, briefing notes, and dashboards, to support effective CUO and senior leadership decision‑making.Provide structured decision support by synthesizing complex qualitative and quantitative information into clear recommendations, scenario analyses, and trade‑off assessments.Leverage data analytics and artificial intelligence–enabled tools to enhance underwriting oversight, portfolio monitoring, trend identification, and governance reporting.Partner with data, technology, and analytics teams to identify opportunities where machine learning, automation, or generative AI can improve underwriting execution, governance efficiency, and insight generation.You may also be required to take on additional duties, responsibilities and activities appropriate to the nature of this role.What you need to have:The suitable candidate will have at least 10 years of experience in a technical role in commercial lines (re)insurance.Bachelor’s or advanced degree in a highly analytical subject.Professional experience in (re)insurance industry performance and/or governance management role(s).Experience in building strong and effective relationships with colleagues and leadership with a proven ability to win confidence of business partners and influence outcomes.Experience in and perspective on best‑practice underwriting performance and governance management frameworks.Demonstrated ability to support senior executive decision‑making through structured analysis, clear narrative development, and concise communication.Experience working with data analytics platforms, management information, or decision‑support tools to inform underwriting or portfolio strategy.What we prefer you to have:Strong technical skills and attention to detail.Excellent verbal and written communication skills.Strong communication skills, with an ability to communicate complex concepts to all stakeholders across the organisation.Ability to plan effectively and prioritise workload.Ability to work independently.Advanced presentation skills, including the ability to design and deliver executive‑ready materials for Board, CUO, and senior leadership forums.Skills in modern analytics, visualization, or AI‑enabled tools (e.g., portfolio analytics, automation, generative AI assistants) applied in a governance, underwriting, or strategic context.Comfort operating at the intersection of underwriting, strategy, data, and technology while maintaining strong governance discipline and control standards.For this position, we currently expect to offer a base salary in the range of X to Y. Your salary offer will be based on an assessment of a variety of factors including your specific experience and work location. In addition, you will be offered competitive target incentive compensation, with awards based on overall corporate and individual performance. On top of this, you will be eligible for a comprehensive and competitive benefits package which includes medical plans for you and your family, health and wellness programs, retirement plans, tuition reimbursement, paid vacation, and much more. This posting is for an existing vacancy.SummaryLocation: London - ScalpelType: Full time

Who We AreVML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award-winning work for blue chip client partners including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. The agency is recognized by the Forrester Wave Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML’s specialist health network, VML Health, is one of the world’s largest and most awarded health agencies. VML’s global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, São Paulo, Shanghai, Singapore, and Sydney.About WPPWPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.The OpportunityVML Enterprise Solutions is growing its technical pre-sales capability to support AWS-led growth across EMEA, with a focus on the UK and Ireland. We are looking for a hands-on technical expert who can prove the value of our AWS solutions through clear demos, high-impact POCs and scalable reference architectures. This role sits between AWS technology and VML delivery, supporting co-sell opportunities by removing technical doubt, proving feasibility and giving clients confidence we can deliver. You will work closely with Alliance Sales, Solution Leads and AWS teams across UKI and EMEA.The RoleThis is a technical pre-sales role focused on AWS co-sell across EMEA. You will lead demos, POCs and solution design, supporting opportunities from early engagement through to close.Success is measured through delivery, including POCs completed, conversion to production, quality of architectures and impact on technical win rates.What you’ll doTechnical pre-sales and pursuit supportAct as the technical lead within account teams across AWS opportunitiesDeliver client-facing demos and lead proof of concept (POC) engagementsWork closely with AWS Solution Architects and internal stakeholdersContribute to RFPs and SOWs by shaping technical content and solution scopeLead technical discussions and remove blockers to build client confidenceArchitecture and assetsCreate reference architectures for common AWS use casesBuild reusable demo environments and technical assetsDocument best practice and stay current with AWS servicesEnsure solutions reflect GDPR, UK data residency and EU data sovereigntyEnablement and collaborationSupport delivery teams with technical guidanceShare best practice and help build capability across EMEAMaintain AWS certifications and work closely with AWS technical teamsTechnical focusYou will bring experience across several of the following areas:Generative AI and machine learning, including Bedrock and SageMakerData and analytics, including Amazon Marketing Cloud and Clean RoomsCustomer experience platforms such as Personalize and ConnectModern application development using Lambda, Step Functions and APIsIntegration patterns, including event-driven architecture and microservicesData governance, security and regional complianceWhat good looks likeDelivering POCs that convert into production workCreating architectures that accelerate pursuits and can be reusedBringing credibility into client conversations and improving win ratesYour backgroundExperience in technical pre-sales, sales engineering, solution architecture or technical consulting, ideally within a professional services, consultancy, GSI, agency, Big 4 or AWS ProServe-style environment.Strong client-facing sales engineering experience, with a track record of leading technical conversations, shaping demos and POCs, and helping convert technical wins into signed engagements.Confident contributing to SOWs, RFPs and proposals, including solution narrative, technical assumptions, deliverables and effort framing in support of account teams.Hands-on AWS delivery experience, with at least AWS Certified Solutions Architect Associate level certification.Strong data, AI/ML and analytics expertise, with practical experience designing or delivering data platforms, analytics pipelines and ML/GenAI workloads on AWS.Credible as a client and partner-facing technical lead, able to communicate complex ideas clearly to senior stakeholders, account teams and AWS field teams.Good understanding of enterprise architecture patterns and how to translate client requirements into practical, scalable technical solutions.UK-based with the right to work in the UK and willing to travel across EMEA as required.Nice to haveAdvanced AWS certifications, such as AWS Solutions Architect Professional or Specialty certifications in Machine Learning, Data Analytics or Security.Hands-on experience with Amazon Bedrock, generative AI implementations or broader AI use cases.Familiarity with Amazon Marketing Cloud, advertising technology or marketing technology environments.Previous experience working for an AWS partner company, directly with AWS, or supporting co-sell motions with AWS UKI and EMEA field teams.Understanding of EMEA regulatory and compliance frameworks, including GDPR, DORA and UK data protection.Bachelor’s degree in Computer Science, Engineering or a related field.Additional European language capability.Role positioningThis is a technical expert role focused on enabling co-sell success. It is not a quota-carrying sales role or a post-sale delivery position. You will build the solutions that prove capability and shape the outcome of AWS-led opportunities across EMEA.#LI-EMEAWe believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. VML is a WPP agency (NYSE: WPP). For more information, please visit , and follow along on Instagram, LinkedIn, and X.When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

DescriptionDriving Innovation and Trust: Ten’s Journey to Redefine Service Excellence Ten is on a mission to become the most trusted service business in the world. Technology-driven Product is at the centre of our strategy to create a hugely successful service and business. Millions of members already have access to Ten's services across lifestyle, travel, dining and entertainment on behalf of over fifty clients including HSBC, Swisscard, Visa, Mastercard and American Express. Ten's partnerships are based on multi-year contracts generating revenue through platform-as-a-service and technology fees. We have the advantages of already being at scale globally with a critical mass of high-net-worth members via stable, multi-year revenue-generating contracts. We already have a market leading consumer proposition and credibility (and many integrations) with the leading suppliers/partners across our ‘big 4’ service categories of restaurants/travel/entertainment and luxury retail. We are debt-free, profitable and the first B Corp listed on the London Stock Exchange (AIM market). Our plans are to continue to invest into technology (including AI) to become the main way that our members organise their leisure lives. The next few years will see Ten speed up our progress via our Growth Engine strategy making the next huge steps to achieve our ambitions together. For more information about Ten, please check out our Welcome to Ten video and this article.The roleWe are a growing team navigating an exciting phase of digital transformation. We’re expanding our Product Management function and are looking for a Senior Product Manager. You will work closely with Product Design and Engineering across Cape Town, London - UK, and Katowice - Poland, bringing a strategic, user-centric focus to our Products. There will be ambiguity as we define our best practices, but for the right Product Manager, this is a unique opportunity to shape how product operates at a global scale without being micromanaged. With an inventory of over 650,000 hotels, 70,000 restaurants, and global event tickets, helping our members find exactly what they want is a massive challenge. You will own the "Discovery" experience: Search, Merchandising, Ranking algorithms, and Personalization, leveraging AI to surface the perfect recommendations.Key Responsibilities:Strategic Ownership: Define the long-term vision and roadmap for the search and discovery experience across the platform, optimizing ranking algorithms to ensure highly relevant, premium results. AI & Personalization: Champion the use of member data and AI/ML to build dynamic, personalized discovery feeds, surfacing relevant content, offers, and inventory proactively. Merchandising Innovation: Build robust tools and features that allow us to highlight curated collections, seasonal campaigns, and exclusive partnerships effectively. Data-Driven Leadership: Define and track core discovery metrics (e.g., search-to-click, click-to-book, zero-result searches) and run rigorous, complex experiments to improve content discoverability. Cross-Functional Mentorship: Partner closely with Data Science, Engineering, and Design to turn massive datasets into an intuitive, luxurious browsing experience, while mentoring junior PMs on best practices. RequirementsYou have at least 5+ years of experience in product management, with a strong, proven background in search, e-commerce merchandising, or algorithmic personalization at scale. Mastering Ambiguity: You excel in environments where processes are evolving. You have a proven track record of bringing order to complex, ambiguous problem spaces and setting strategic direction. Executive Communication: You are an expert collaborator and communicator. You know how to align C-level stakeholders, push back constructively, and negotiate highly complex technical architectures with Engineering leads. Strategic Vision: You define the strategy. You anticipate market trends and business needs, diving deep into data to uncover transformative product opportunities. Analytical rigour: You are deeply comfortable with data science concepts and understand how to measure and optimize the success of complex ranking and machine learning features. You are fluent in English.Guidelines for Hybrid/Home Office :Located in London.Please note that you will be asked to enter into a hybrid working arrangement - at least 2x a week in the office.A secure home office at your confirmed address, free from background noise or other distractions.You must meet our minimum internet speeds if you want to work in our hybrid model and this will be checked during the recruitment process and again when you join. We also have a great office that you can work from as an alternative.BenefitsOur people are at the heart of the business and we have a culture of recognition and reward - both through regular appraisals but also annual Extra Mile Awards where we celebrate those who have gone that extra mile in their role. We also encourage all our staff to incorporate their aspirations and interests into their career at Ten and we are there every step of the way in supporting development.Rewards designed around you:A competitive salary depending on experience.Hybrid working. You can combine working from home and working from the office.Paid time away from work. Our employees enjoy a competitive paid time off package, including a paid day each year to volunteer time for a good cause that is important to them.Paid Sabbaticals. One (1) month paid Sabbatical after every 5 years of Service, without tapping into annual leave.Extra Rewards. Lucrative Ten Loyalty Rewards program which includes a bonus and gift to say thank you for being part of Ten.Remote Working Holidays - possibilities to Travel and Work anywhere in the world!Employee Discounts. Access to lots of great travel and entertainment discounts as our clients’ members would!Be part of our global, dynamic, and inclusive Team, with diversity at its core.Genuine career opportunities within a dynamic and international company.Commitment to DiversityWe encourage diverse philosophies, cultures, and experiences. We appreciate diversity and are dedicated to creating an inclusive work environment for our employees. This idea unites the teams at TEN. All aspects of our relationship, including the decision to hire, promote, discipline, or terminate, will be based on merit, competence, performance and business needs.Job SummaryID: 2B2458D4E0Department: Software Development & ProductType: full time

Joining ArupArup’s purpose, shared values and collaborative approach has set us apart for over 80 years, guiding how we shape a better world.Watch this short clip to discover how Arup are shaping a better world and how you could be a part of it!The OpportunityWe are looking to grow our team of client-facing solution architects. In this role, you will translate client requirements into designs for sustainable digital solutions, support development work with our software engineering teams, and provide technical assurance for complex projects.Your work will typically include the technical design of new digital applications and services for clients, including solutions that use cloud services, data integration and analytics platforms, AI and machine learning-driven approaches, and GIS applications. You will join a substantial community of technology architecture practitioners and work alongside designers, software engineers, business analysts and delivery managers.At Arup, you belong to an extraordinary collective – in which we encourage individuality to thrive. Our strength comes from how we respect, share and connect our diverse experiences, perspectives and ideas. You will have the opportunity do socially useful work that has meaning – to Arup, to your career, to our members and to the clients and communities we serve. Is this role right for you? We’re looking for candidates who:You have experience delivering technology projects or products in an IT function, IT services or IT consulting environment, regardless of previous job title.You understand one or more architecture practices, such as solution, cloud, data, enterprise architecture or systems integration.You can take a proactive, structured approach to problem solving and produce deliverables such as high-level designs, technology options assessments, non-functional requirements and interface specifications.You are comfortable working with clients and cross-functional teams, and bring knowledge of software delivery, data management, architecture modelling in built environment markets such as energy, water, rail, highways, aviation, buildings or sustainability.Not ready to apply just yet, or have a few questions? Contact Marek Mazurowski (marek.mazurowski@arup.com). Please note, to ensure we remain GDPR compliant do not send your CV directly to us via this email.*Unfortunately, we are unable to offer visa sponsorship for this role. Applicants must have the right to work in the UK at the time of application and for the duration of employment. Any offer made will be subject to satisfactory proof of immigration status.*What we offer youAt Arup, we care about each member’s success, so we can grow together.Guided by our values, we provide an attractive total reward package that recognises the contribution of each of our members to our shared success. As well as competitive, fair and equitable pay, we offer a career in which all of our members can belong, grow and thrive – through benefits that support health and wellbeing, a wide range of learning opportunities and many possibilities to have an impact through the work they do. We are owned in trust on behalf of our members, giving us the freedom, with personal responsibility, to set our own direction and choose work that aligns with our purpose and adds to Arup’s legacy. Our members collaborate on ambitious projects to deliver remarkable outcomes for our clients and communities. Profit Share is a key part of our reward, enabling members to share in the results of our collective efforts.We also provide Private medical insurance, Life assurance, Accident insurance and Income protection cover. In addition, you’ll have access to flexible benefits to help you look after all aspects of your wellbeing and give you the freedom and flexibility to find the best solutions for you, your family, and your individual needs.Different People, Shared ValuesArup is an equal opportunity employer that actively promotes and nurtures a diverse and inclusive workforce. We welcome applications from individuals of all backgrounds, regardless of age (within legal limits), gender identity or expression, marital status, disability, neurotype or mental health, race or ethnicity, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. We are an open environment that embraces diverse experiences, perspectives, and ideas – this drives our excellence. Guided by our values and alignment with the UN Sustainable Development Goals, we create and contribute to equitable spaces and systems, while cultivating a sense of belonging for all. Our internal employee networks support our inclusive culture: from race, ethnicity and cross-cultural working to gender equity and LGBTQ+ and disability inclusion – we aim to create a space for you to express yourself and make a positive difference. Discover more about life at Arup at .We are committed to making our recruitment process and workplaces accessible to all candidates. Please contact Marek Mazurowski (marek.mazurowski@arup.com) to let us know if you need any assistance or reasonable adjustments throughout your application or interview process, and/or to perform the essential functions of the role. We will do everything we can to support you.Our Application ProcessTo understand what to expect next, please visit our Stay safe online - Arup will never ask for payment or your bank details as part of our recruitment process.Recruitment Agencies - We have a Preferred Supplier List of trusted partners to assist us when required and do not acknowledge any speculative CVs or unsolicited candidate introductions from agencies not on the listClosing date: 9th September 2026We may close the role earlier than the advertised date should we receive a large number of applications, so please ensure you apply early.#LI-DNI#LI-DNI

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery. Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you. About IsoIsomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.Your missionWe are seeking a highly innovative and experienced Bioanalytical Lead to bridge the gap between our predictive AI design platform and wet-lab preclinical execution.In this role, you will define the overarching bioanalytical strategy across our expanding portfolio, covering small molecules, advanced biologic formats, and Antibody-Drug Conjugates (ADCs) in both non-GLP and GLP environments. You will collaborate closely with the drug design teams, design robust bioanalytical assays, manage global Contract Research Organizations (CROs), and lead the logistical execution required to rapidly advance our candidates toward IND submission.As the Bioanalytical Lead, you will serve as the technical expert for our diverse portfolio of computationally designed therapeutic candidates. As part of the preclinical development function, this is a high-impact leadership role responsible for building the bridge between Isomorphic’s AI-driven discovery engine and the effective execution of our robust preclinical strategies, alongside safety and DMPK. The successful candidate will be forward thinking, thrive in fast-paced, agile environment and ready to embrace Iso’s AI-first mindset and challenge the status quo. With a broad range of internal and external stakeholders, candidates will be expected to have exceptional communication and influencing skills.Bioanalytical Strategy & AI IntegrationDefine and execute comprehensive bioanalytical strategies for small molecules, large molecules, and complex modalities (ADCs) from discovery through preclinical development covering both non-GLP and GLP environments.Oversee the design, validation, and transfer of robust PK, PD, and immunogenicity (ADA) assays at external labs.Collaborate with AI/machine learning scientists to integrate bioanalytical data back into predictive models, helping to continuously improve our platform's accuracy.Lead biomarker assay strategies, utilizing both traditional approaches and AI-identified novel biomarkers to support preclinical proof-of-concept.Global CRO Management & LogisticsSelect, qualify, and manage a high-performing network of global CRO partners, ensuring rigorous data quality, strict timelines, and budget alignment.Master complex global logistics, including international sample shipments, cold-chain management, import/export compliance, and stability tracking across borders to ensure data integrity.Serve as the primary technical point of contact for CROs, troubleshooting complex assay anomalies rapidly.Cross-Functional Leadership and Regulatory AuthoringWork seamlessly at the intersection of Drug Discovery, Translational Medicine, and Computational Biology to drive candidates into the clinic.Author and review high-quality regulatory documents, specifically bioanalytical sections of Investigational New Drug (IND) applications and Investigator Brochures (IBs).Represent the bioanalytical function in cross-functional project teams and during interactions with regulatory agencies (FDA, EMA, etc.).Required expertise and experiencePh.D. in Biochemistry, Analytical Chemistry, Pharmacology, or a related scientific discipline with 5+ years of biotech/pharmaceutical industry experience; OR a B.S./M.S. with 8+ years of equivalent experience.Proven track record of leading bioanalytical strategies across multiple modalities (must include small molecules, biologics, and ADCs).Deep understanding of GLP and non-GLP preclinical study regulations, FDA/EMA bioanalytical method validation guidelines, and ICH guidelines.Technical & Logistical ExpertiseExtensive experience with diverse analytical platforms (e.g., LC-MS/MS, LBA, flow cytometry).Demonstrated success in biomarker assay development and validation.Expert knowledge of global sample shipping logistics, biosafety regulations, and maintaining chain-of-custody for precious preclinical samples.Experience writing bioanalytical sections for successful IND submissions.Nice to haveExperience of generating reagent in collaboration with drug design teamsExperience of developing or using AI tools (LLM) to accelerate processes including reportingCulture and valuesWe are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it. ThoughtfulThoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.BraveBrave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.DeterminedDetermined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.TogetherTogether at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.Creating an extraordinary companyWe believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.Hybrid workingIt’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, and would require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.Please note that when you submit an application, your data will be processed in line with our privacy policy.>> Click to view other open roles at Isomorphic Labs

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities- Maintain and follow strict confidentiality as customer privacy is our biggest tenet- Work with a range of different types of data including but not limited to text, speech, image, and video- Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software- Assume the role of a subject matter expert for Machine Learning (ML) data workflows and demonstrate proficiency in researching, creating factually and grammatically correct responses, ranking responses, creating grammatically correct text, speech, image, video annotation.- Ability to make logical decisions while performing tasks even when provided information is ambiguous. - Eye for detail and ability to pivot from one category of requirement to another instantaneously.- Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team- Demonstrate expertise in handling end to end data execution process related to labelling the tasks and be less dependent on work instructions- Contribute to root cause analysis, identify error patterns and identify solutions to improve quality of labelling tasks- Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations- Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data, to assess and improve Alexa’s performance in everyday situations.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.Basic qualifications- An Associate’s Degree or related work experience- CEFR C1+ or equivalent fluency in Dutch language- Written and spoken knowledge of English is essential (CEFR C1+)- Strong business writing skills with ability to create reports, proposals, and professional correspondence- Advanced reading comprehension with ability to analyze complex business documents- Developed analytical thinking and structured problem-solving capabilities- Strong ability to interpret and implement detailed instructions across various projects- Proficient research skills with experience gathering and synthesizing information from multiple sources- Proven attention to detail in managing complex tasks and documentsPreferred qualification - Bachelor’s degree in a relevant field- Proven experience with demonstrated task execution ability- Proven capacity to leverage open-source resources effectively for comprehensive research purposes- Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy- Proven project coordination or management experience (for support functions teams)- Experience managing stakeholder relationships across departments- Advanced proficiency in Microsoft Office Suite and common business applications.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Algorithmic Trading Developer Persönliche Daten Land Vereinigtes Königreich Stadt London Art der Anstellung Professional Arbeitszeit Vollzeit Vertragsart Unbefristet Offene Stellen 1 Beschreibung & Anforderungen For our Innovation & Technology department in London we are looking to hire a:Algorithmic Trading Engineer, full time, LondonInnovation & Technology @ BerenbergIn an era where digitalisation and modern IT infrastructure is revolutionizing banking, we are shaping a technology-driven bank in which you as an IT professional will work closely with our business units. Our technology teams offer you an environment that will present you with exciting challenges - be it through the support and further development of legacy systems or the introduction of modern technologies such as AI, machine learning and highly automated trading applications.Your Role in the team:As part of Berenberg’s expansion in electronic trading, the algorithmic trading team is looking for a delivery-focused engineer to develop trading engines, associated strategies and real-time trading desktops. This role contributes to both algo strategy design and the build-out of high-quality, real-time systems used for trading algo orders and liquidity seeking.What will you do?Design and build high-quality Java engines for trading algo orders and liquidity seekingDevelop algorithmic trading engines, associated strategies and supporting desktop toolingContribute to algo strategy design as well as the build-out of real-time trading enginesBuild real-time trading desktops using technologies including ReactDevelop data analytics, storage and processing capabilitiesWho are we looking for? A strong Java engineer who writes performant, well-designed real-time server codeSolid understanding of Equity market trading in EuropeGood problem-solving skills with close attention to detailA keen interest in understanding the wider systems that form part of the trading stackPassion for continuous improvement and creativityA pro-active, collaborative approach when working with other Berenberg Investment Banking engineering teamsCommitment to industry and Berenberg Investment Banking engineering best practicesExperience in the equity sell-side trading industry would be desirableExperience with Kubernetes and Docker would be desirableExperience with React and building real-time web pages would be desirableA good understanding of the regulatory environment relevant to the role would be beneficialWhat we offer you: Private pension plan - 10% of base salary contribution by BerenbergGenerous 30 day holiday allowancePrivate Health InsuranceLife Insurance schemeFlexible working hoursEnhanced parental leave policiesEmployee Assistance Programme offering counselling sessions related to mental health, financial wellbeing and other topicsApply online now to join our team – we look forward to receiving your application!We are a leading European private bank, with over 430 years of experience and deep-rooted history, but we are still shaping and heavily investing in our future. Our progress and evolution are driven by our people. We encourage them to try new approaches, voice their opinions and achieve success in their own way.We provide opportunities for them to develop their talents, explore different career paths and achieve their full potential. We’re an ambitious, forward-looking business, backed by centuries of tradition and built on innovation. You’ll find a culture that encourages people to think independently, act entrepreneurially and challenge the status quo.We place great importance on working on site, as we believe that being together in the office not only fosters creativity and efficiency, but also strengthens networks and builds trusting, collegial relationships. For us, this forms the foundation for productive and successful work. Together we collaborate to shape our business and fulfil our ambitious goals. We welcome you to join us in our commitment to always do the right thing for our people, clients and our business – Our future is where you take us!We will only accept applications submitted through our online application management system on the website.Berenberg is an Equal Opportunities Employer and prides itself on being a modern, dynamic and internationally orientated organisation. We value the rich diversity, skills and abilities and creative potential that people from differing backgrounds and experiences bring to the workplace. Every employee plays a vital role in providing quality service to all our customers and helping to create and inclusive working environment, where everyone can realise their full potential. We’re committed to finding reasonable accommodations for candidates who require adjustments during our recruiting process. Please contact us directly on recruitment@berenberg.com to discuss.

Company DescriptionWe’re the world’s leading sports technology company, at the intersection between sports, media, and betting. More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.Job DescriptionAre you a betting expert with an in-depth understanding of odds? Join our dynamic team as we revolutionize the sports betting industry.Due to some exciting growth here at Sportradar we are seeking a Trading Analyst with exceptional betting knowledge to join our MTS team in Central London. Our MTS (Managed Trading Service) is a liability management service for bookmakers and lotteries for both pre-match and live odds on Sports. The service delivers a complete risk management service for all events where odds are offered.As a Trading Analyst you will be responsible for the daily operation of Sportradar's Managed Trading Service.THE CHALLENGELive and breathe sports by reacting to information reaching betting markets.Real time monitoring of betting activity and risk management of client liabilities.Explore and interrogate betting data by analysing a growing global client base.Effective handling of betting operator queries.Deliver insights in management ready reports.Take ownership of improving betting performance.Conduct customer segmentation to validate machine learning outputs.Shape future ways of working by testing trading platforms.Request and quality assure new tools and features.ABOUT YOUStrong familiarity with a wide range of sports, especially those popular in UK, European, and US betting markets.Extensive knowledge of betting markets, odds structures, and risk management of core betting sports (UK, European and US).In-depth understanding of odds correlation between betting markets. Exceptional mathematical skills, with proficiency in Excel or SQL for odds analysis.Experience working in a similar role within sports or betting industry would be advantageous. Dependable decision-making skills when under a time pressure like the trading environment.Excellent communication skills – both written and verbal. Experience using data visualization tools.Ability to take immediate action in a fast-moving trading environment. An initiative-taking team player, able to work with new teams.Proficient in MS Office, specifically Word and Excel. Flexibility to work with shift-based patterns. To make sure that your profile aligns well with our team, please answer the following questions in your cover letter.What aspects of your current role or career path have motivated you to seek new opportunities, and what specifically attracts you to this position at Sportradar?What do you expect to be doing on a day to day basis as a Trading Analyst?Why do you think you are suited to this role? Please share about your sports betting experience: can you describe your experience with different types of bets and what types of sports do you primarily bet on?OUR OFFER:A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding. Flexibility to manage your workday and tasks with autonomy. A balance of structure and autonomy to tackle your daily tasks. Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants. Global Employee Assistance Programme. Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience). Online training videos. Sports 24/7. If you like sports, we’ve got TVs streaming live footage of the world’s biggest events! Private health care and a company pension plan together with Gym Membership scheme. Additional InformationAt Sportradar, we celebrate our diverse group of hardworking employees. Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time. If you’re willing to learn and grow with us, we invite you to join our team!SummaryType: Full-timeFunction: EngineeringExperience level: AssociateIndustry: Sports

The team you'll be working with:The Principal AI Architect is a senior technical advisor responsible for leading architecture on complex, strategic, and high-value AI pursuits. This role translates business problems into enterprise-grade AI solution designs across models, agents, data, integration, security, governance, cloud, and operations. The Principal AI Architect partners with AI Consulting, Solution Architects, FDE, Delivery, Sales, and ecosystem partners to shape differentiated solutions that are technically credible, commercially viable, and ready to scale.What you'll be doing:Lead architecture for complex, strategic, or high-value AI pursuits from discovery through proposal, negotiation, and win.Act as a senior technical advisor to client executives, CTO/CIO stakeholders, and internal pursuit teams.Translate business problems into enterprise-grade AI solution designs, including AI, data, model, agent, integration, security, governance, and operating model considerations.Shape solution strategy across NTT DATA capabilities, including consulting, applications, data, cloud, BPO, managed services, and partner technologies.Create reusable architecture patterns, technical points of view, accelerators, and differentiated solution narratives.Conduct technical solution reviews, challenge assumptions, and reduce delivery risk before deals are committed.Guide proof-of-concept and MVP design to ensure prototypes can scale into production programs.Mentor AI Solution Architects and support capability-building across the global AI architecture community.Surface architecture gaps, delivery risks, and emerging technology needs to AI GTM leadership.Success Measures:Pursuit deal volume, measured as total TCV value of AI deals where the Principal AI Architect supported.Pursuit win rate for AI deals where the Principal AI Architect supported.Utilization or billability against target.Quality and reuse of architecture patterns, solution reviews, technical narratives, and risk mitigation guidance.What experience you'll bring:Basic Qualifications:12+ years of experience in enterprise architecture, solution architecture, technology consulting, systems integration, software engineering, data architecture, or related roles.5+ years of experience designing or delivering AI, data science, machine learning, advanced analytics, or intelligent automation solutions.2+ years of hands-on or architecture experience with GenAI, LLMs, RAG, AI agents, orchestration frameworks, or enterprise AI platforms.Deep understanding of AI architecture considerations, including data readiness, model selection, security, responsible AI, governance, integration, scalability, observability, and operations.Experience leading architecture for complex client pursuits, large transformation programs, or multi-tower technology solutions.Bachelor's degree or equivalent work experience.Preferred Skills:Master's degree in computer science, engineering, data science, AI, or a related field.Cloud, enterprise architecture, AI/ML, cybersecurity, or data platform certifications.Experience with platforms such as Azure, AWS, GCP, OpenAI, Anthropic, Mistral, Google/Gemini, Databricks, Snowflake, Kubernetes, vector databases, and MLOps/LLMOps tooling.Strong executive presence, technical storytelling, mentorship, stakeholder influence, and ability to simplify complex concepts for business and technical audiences.Ability to travel as required for client and internal engagements.Who we are:At NTT DATA, you have endless opportunities to think big, act bold and take ownership. As a $30+ billion business and technology services, AI and digital infrastructure leader, we co-innovate solutions with clients and partners globally for business and societal impact. Serving 75% of the Fortune Global 100, with experts in over 70 countries, we encourage experimentation and recognize great work. Proudly a Global Top Employer, NTT DATA is part of NTT Group, which invests over $3 billion annually in R&D. Make this the place where you belong, learn, and build your network. Make this the place where you grow.what we'll offer you:We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.You can find more information about NTT DATA UK & Ireland here: We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.

Basic informationLocationLondonBusiness LineTechnology & TransformationJob TypePermanent / FTCDate published13-Aug-2026Req #24411Job descriptionConnect to your IndustryDo you want to be at the heart of some of the biggest and most ambitious Commercial Excellence projects within the Consumer and Consumer Healthcare industry sectors?Technology & Transformation: How do you make intelligent, future-proof decisions in a world where change is the one constant? That's exactly what you'll help our clients to do. You'll build trusted relationships with business stakeholders - and use the most exciting new technologies available - to create data-driven programmes that transform their organisations. Your advice will help clients position their organisations to succeed in an ever-evolving marketplace.Connect to your career at Deloitte Deloitte drives progress. Using our vast range of expertise, we help our clients' become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more. What brings us all together at Deloitte? It’s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world, we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact. These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.Connect to your opportunity As an Associate Director within our AI & Data practice, you will play a pivotal role in helping our clients unlock significant revenue growth through advanced analytics and AI-driven solutions. You will specialise in Revenue Growth Management (RGM).You will lead client engagements, design and implement cutting-edge solutions, and advise senior stakeholders on leveraging AI and data to enhance commercial strategies, improve promotional effectiveness, and drive profitable growth. This is a leadership position that demands a blend of strategic thinking, technical acumen, client relationship management, and team leadership.Key Responsibilities:Client Engagement & Business Development:Lead the identification of client needs related to RGM, TPO, and TPM, developing compelling proposals and solutions.Cultivate and maintain strong relationships with senior client stakeholders, acting as a trusted advisor.Contribute to business development activities, including market analysis, thought leadership, and proposal writing.Solution Design & Implementation:Lead the end-to-end design, configuration, and implementation of TPO/TPM solutions, with a primary focus on Visualfabriq.Translate complex business requirements into technical specifications and solution architectures.Oversee data integration, model development, and system configuration to ensure optimal performance and client value.AI & Data Strategy:Advise clients on leveraging AI, machine learning, and advanced analytics to enhance RGM capabilities, including predictive analytics for promotional effectiveness, pricing optimisation, and assortment management.Lead the development data-driven insights to inform strategic commercial decisions and identify new growth opportunities.Project Management & Delivery:Lead complex RGM and TPO/TPM projects, ensuring timely delivery, budget adherence, and high-quality outcomes.Lead project teams, providing guidance, mentorship, and quality assurance.Mitigate risks and resolve issues throughout the project lifecycle.Thought Leadership & Innovation:Contribute to the development of Deloitte's RGM, AI & Data, and TPO/TPM methodologies, assets, and offerings.Stay abreast of industry trends, emerging technologies, and best practices in RGM, AI, and commercial strategy.Represent Deloitte at industry events and conferences.Team Leadership & Mentorship:Mentor and develop junior consultants, fostering a culture of continuous learning and high performance.Conduct performance reviews and support career development for team members.Connect to your skills and professional experience Experience in consulting or industry roles with accountability for strategic direction and outcomes with a focus on Revenue Growth Management, Commercial Strategy, Trade Marketing, or Sales Operations.Proven track record in designing, implementing, and optimising Trade Promotion Optimisation (TPO) and Trade Promotion Management (TPM) solutions beneficial. Hands-on expertise and significant experience with Visualfabriq are beneficial. Experience with one leading TPO/TPM platform is paramount.Experience in designing/leveraging AI/Machine Learning and advanced analytics for commercial decision-making preferred.Strong understanding of one of Consumer-Packaged Goods (CPG), Consumer Healthcare and/or Retail industry dynamics, including trade spend mechanics, promotional strategies, and customer profitability.Experience leading matrix project teams, including offshore and nearshore, managing client relationships, and delivering complex engagementsExceptional communication, presentation, and interpersonal skills, with the ability to articulate complex concepts to diverse audiences.Proven ability to build and maintain strong client relationships at all levels.Strong leadership, team management, and mentoring capabilities.Strategic thinking with a commercial mindset, capable of identifying and capitalising on business opportunities.Ability to work effectively in a fast-paced, dynamic environment and manage multiple priorities.High degree of intellectual curiosity and a passion for innovation in AI and data.Connect to your business - Technology and TransformationDistinctive thinking, deep expertise, innovation and collaborative working. That’s what connects us. That’s what makes us Deloitte. If you want to help solve some of the biggest tech and transformational challenges around, join us. Together, we’ll make an impact that matters. Engineering, AI and DataWe lead transformation at the heart of our clients; re-engineering the core of our clients’ organisations, helping to unleash growth, and creating better futures for their customers, citizens and employees.Personal independence Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints (e.g., in relation to any financial interests and employment relationships). This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm, and also prohibitions on certain employment relationships (e.g., you are not permitted to hold a secondary employment role with SEC audit clients of the firm whilst being employed by the firm). The recruitment team will provide further detail as you progress through the recruitment process or you can contact the Independence team upon request.Connect with your colleagues “The great culture, flexibility, and range of experiences that Deloitte offers are what sets this firm apart. In Technology & Transformation, Deloitte is far ahead of any of our immediate competitors.” - Sophia, Technology & Transformation“What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte’s clients include many of the world’s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.” - Dan, Technology & TransformationOur hybrid working policyYou’ll be based in London with hybrid working.At Deloitte we understand the importance of balancing your career alongside your home life. That’s why we’ll support you to work flexibly through our hybrid working policy. Depending on the requirements of your role, you’ll have the opportunity to work in your local office, virtual collaboration spaces, client sites and remotely. You’ll get the chance to meet face to face when needed, while you collaborate and learn from colleagues, share your experiences, and build the relationships that will fuel your career and prioritise your wellbeing. Please check with your recruiter about the specific working requirements that may apply for your role.Our commitment to you Making an impact is more than just what we do: it’s why we’re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before. We want you. The true you. Your own strengths, perspective and personality. So we’re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we’ll take your wellbeing seriously, too. Because it’s only when you’re comfortable and at your best that you can make the kind of impact you, and we, live for.Your expertise is our capability, so we’ll make sure it never stops growing. Whether it’s from the complex work you do, or the people you collaborate with, you’ll learn every day. Through world-class development, you’ll gain invaluable technical and personal skills. Whatever your level, you’ll learn how to lead.Connect to your next step A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you’ll experience a purpose you can believe in and an impact you can see. You’ll be free to bring your true self to work every day. And you’ll never stop growing, whatever your level.Discover more reasons to connect with us, our people and purpose-driven culture at deloitte.co.uk/careersWPFULL SLTTECH BAENGAI BAAIDAT

REMOTE Low latency Java Developer – Algo Trading120,000 + bonuses (50%)Leading London-based trading firm has an outstanding opportunity for a Java Developer to join their low latency trading team.Our client quant prop trading house with performance figures of 22%. They are currently looking to expand their high and intraday trading presence across FX, equities and commodities.The Java Developer will:Work closely with the Head of Trading and the Quant Team and assist in design and development of new trading algorithms, mainly in JavaHelp engineer a new greenfield low latency trading platformWork on connectivity to Financial ExchangesImprove/maintain existing strategiesDevelop utility applications and excel tools to help with trading activitiesWork with traders, understand requirements for new applications and strategies to develop and also resolve issues if anyThis is an opportunity for someone that wants to work with a smart people in a collaborative environment that is solely focused on cross asset trading.They avoid the bureaucracy of larger organisations, and keep their management structures flat. Decisions are made efficiently; changes are implemented quickly.It’s a friendly, open place where people are motivated because they enjoy what they’re doing.Java Developers MUST have: Computer Science or Machine learning BSc or Masters or PhD from a top 40 University Globally Some commercial Java Development experience; we would consider C++ but core coding is JavaCore JavaSQLGood understanding of general programming concepts, diligent coder.This is an outstanding opportunity for a Java developer to join a growing trading business at a time of significant interesting growth within the sector. You will gain massive exposure to High Frequency Trading. My client is based in the City of LondonJava Developer, C++ Developer, Quant, Junior Quant, C++ Java, SQL Matlab, Quant Trader, Quantitative,

THE POSITIONThe Senior Cloud Engineer, ML Platforms is responsible for building, maintaining and evolving the cloud infrastructure that enables machine learning activities within Computational Biology. Working closely with researchers, ML engineers and platform teams, you will ensure that AWS-based environments remain secure, scalable and reliable while supporting the full machine learning lifecycle, from experimentation and model training through deployment and production operations.As part of this role, you will work closely with Boehringer Ingelheim's newly established AI Accelerator in London, supporting the cloud and platform capabilities behind its AI and machine learning initiatives. This is an opportunity to contribute to the infrastructure that enables cutting-edge research teams to develop, scale and deploy advanced AI solutions across a wide range of biomedical challenges.Tasks and ResponsibilitiesDesign, maintain and continuously improve AWS-based infrastructure supporting machine learning workloads, including SageMaker, networking, IAM, storage, compute resources and model endpoints.Manage cloud environments through Infrastructure as Code, ensuring consistency, scalability and compliance with enterprise architecture, security and governance standards.Monitor platform performance, availability, security findings and resource utilization, proactively identifying and resolving operational issues.Plan and manage cloud capacity, including CPU, GPU, storage and networking resources, balancing business needs, platform performance and cost efficiency.Build and support infrastructure for MLOps processes, including CI/CD pipelines, experiment tracking, model registries, automated workflows and model deployment.Develop reusable automation and platform capabilities that simplify onboarding, reduce manual work and improve the user experience for researchers and ML teams.Enable and maintain integrations between AWS services and supporting technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift and related platforms.Act as the primary technical contact for stakeholders, translating business and research requirements into effective cloud and platform solutions.Create and maintain technical documentation, support onboarding activities and contribute to the evaluation of new cloud and MLOps technologies.RequirementsHands-on experience designing, implementing and supporting cloud infrastructure in AWS environments.Strong knowledge of AWS services including SageMaker, IAM, networking, storage, compute services and container technologies.Experience with Infrastructure as Code and cloud automation practices.Understanding of cloud security, governance, compliance and access management principles.Experience supporting machine learning, data science or MLOps platforms.Knowledge of CI/CD practices and tools used for software and machine learning delivery.Experience working with technologies such as Databricks, MLflow, Jenkins, Bitbucket, OpenShift or comparable platforms.Ability to troubleshoot complex technical issues and continuously improve platform reliability, performance and efficiency.Strong stakeholder management and communication skills, with the ability to work effectively across international and cross-functional teams.Degree or equivalent qualification in Information Technology, Computer Science or a related field.This is a hybrid role with approximately 3 days a week in the office.

Paralegal / Document Review - Multilingual - 100% Remote - £20-£25 p/hour \n Robert Half are working with a global organisation and is searching for a team of Paralegals / Document reviewers to support a high profile AI legal project. \n This is a remote project but you will need to be UK based \n To be considered for this project you must have native or professional fluency in the one of languages listed , combined with strong knowledge of the local legal system. \n Finnish, Slovenia, Slovak, Bosnian, Serbian, Estonian, Hungarian, Lithuanian, Romanian \n About the Opportunity Our team is seeking experienced legal professionals to join our clients legal department on a contract basis. In this role, you will handle critical legal research tasks that impact the accuracy of legal data and support the development of next-generation AI tools for legal citation analysis. \n Key Responsibilities: \n\n • Conduct advanced research of primary law sources, including case law and statutes.\n, • Precisely identify and assess legal authority relationships (such as overruling, compliance, and regulatory changes).\n, • Prepare clear and concise summaries and annotations of legal findings.\n, • Work within established workflows, maintaining high productivity while meeting or exceeding accuracy and volume expectations.\n, • Consistently demonstrate high attention to detail and maintain rigorous quality control independently.\n, • Contribute to the enhancement and validation of AI tools by annotating data, reviewing AI-generated outputs, and providing feedback to development teams.\n, • Adapt to evolving legal technology and processes, collaborating with cross-functional teams as needed.\n\n Qualifications: \n\n • Demonstrated strong primary law research skills (case law and statutes\n, • Proven experience analyzing legal authority relationships (e.g., overruling, compliance, regulatory change).\n, • Excellent legal writing skills with a focus on clarity and conciseness.\n, • High attention to detail and ability to follow structured processes.\n, • Comfortable with legal research technology and database-driven work. AI or machine learning experience is a plus.\n, • Track record of working independently while sustaining high quality and meeting production goals.\n\n Paralegal / Document Review - 100% Remote - £20-£25 p/hour \n Robert Half Ltd acts as an employment business for temporary positions and an employment agency for permanent positions. Robert Half is committed to diversity, equity and inclusion. Suitable candidates with equivalent qualifications and more or less experience can apply. Rates of pay and salary ranges are dependent upon your experience, qualifications and training. If you wish to apply, please read our Privacy Notice describing how we may process, disclose and store your personal data:

Audit Data Analytics Senior ManagerLocation: Flexible across the UK (Hybrid)Salary: Competitive + Excellent BenefitsShape the Future of Audit Through Data & AIOur client is looking for an experienced Audit Data Analytics Senior Manager to lead the continued development of data analytics and AI capabilities within their audit practice.This is a fantastic opportunity for someone who enjoys combining technical expertise with strategic leadership, helping audit teams embrace innovative technology while delivering greater value to clients.Working closely with senior stakeholders across the business, you'll play a key role in driving the firm's data analytics strategy, developing new tools and methodologies, and embedding best practice across the audit function.The OpportunityAs Audit Data Analytics Senior Manager, you will:Lead the day-to-day management of the Audit Data Analytics team.Provide specialist data analytics support on complex audit engagements.Drive the development and adoption of AI and Generative AI solutions to enhance audit delivery.Design and implement innovative data analytics tools and automated workflows.Embed data analytics into audit methodology to improve consistency, quality and efficiency.Develop learning programmes and technical resources to build capability across the audit practice.Research, evaluate and implement emerging technologies that enhance audit quality.Establish governance, quality assurance and compliance frameworks for audit analytics.Work closely with audit teams and senior leadership to identify opportunities for continuous improvement and innovation.About YouYou'll be a technically strong audit professional with a passion for data, technology and improving audit quality.You'll ideally have:ACA or ACCA qualification.Several years' post-qualified experience within external audit, audit methodology or a technical audit environment.Recent experience using audit data analytics software.Strong understanding of audit methodology and regulatory requirements.Experience with Power BI or comparable data visualisation platforms.Knowledge of low-code development platforms.An interest in AI and machine learning applications within audit.Excellent analytical and problem-solving skills.The ability to explain technical concepts clearly to both technical and non-technical audiences.Strong stakeholder management and influencing skills.What's on OfferOur client offers a collaborative, forward-thinking environment where innovation is encouraged and career development is genuinely supported.Benefits include:Hybrid and flexible working.Competitive salary and benefits package.Generous annual leave allowance.Career development and structured progression opportunities.Learning and professional development support.Employee wellbeing programme and additional lifestyle benefits.A collaborative culture where technology, innovation and continuous improvement are actively embraced.If you're passionate about combining audit expertise with data analytics and emerging technologies, we'd love to hear from you.

We're looking for an Applications Engineer to become part of our experienced and supportive team. This is a varied role where no two days are the same. One day you could be proving out a brand-new machine for a customer, the next you'll be delivering operator training, developing machining strategies, or demonstrating the latest technology to customers and dealers. BASIC SALARY: £36,000 BENEFITS:· Bonus payments of up to £12k a year - as a result of the company carrying out services, machine sales and demonstrations · 25 days holiday plus bank holidays · Company car · Life insurance · Permanent Health insurance LOCATION: Watford COMMUTABLE LOCATIONS: Ruislip, Harrow, Barnet, Stanmore, Wembley, Luton, Hemel Hempstead, Potters Bar, Welwyn Garden City, Borehamwood, St Albans, Rickmansworth JOB DESCRIPTION: Applications Engineer - Industrial Machinery As our Applications Engineer, you'll play a key role in supporting customers throughout the entire lifecycle of their machines, ensuring they achieve the very best performance from their investment. Your responsibilities will include: · Visiting customer sites across the UK and Ireland to install, set up and prove our machines. · Delivering operator and engineer training for customers and dealer networks. · Developing machining methods, tooling strategies and CNC programs to solve customers' manufacturing challenges. · Supporting the sales team with technical demonstrations, time studies and machining solutions. · Carrying out machine demonstrations for customers and dealers, explaining machining processes in a clear and engaging way. · Installing machines in customer facilities and showrooms. · Testing and commissioning machines to ensure safe, reliable operation. · Providing telephone and on-site technical support for customers and dealers. · Learning new machine technologies and attending manufacturer training courses. · Supporting exhibitions, open days and customer events throughout the UK and Europe. PERSON SPECIFICATION: Applications Engineer - Industrial Machinery We're looking for an Applications Engineer who enjoys engineering just as much as they enjoy helping people. You'll ideally have: · Experience and a proven track record a similar position within CNC machinery or manufacturing. · Strong knowledge of metal cutting processes, tooling and machining methods. · The ability to develop complete manufacturing processes for finished components. · Excellent problem-solving skills and a practical engineering mindset. · Confidence communicating with customers, operators and colleagues. · The ability to work independently while also thriving as part of a collaborative engineering team. · A willingness to travel throughout the UK, Ireland and occasionally overseas. THE COMPANY: We are a world leading CNC machine tool manufacture supplying the latest CNC mill-turn technology to UK industry. We have been successfully serving UK manufacturing industry since 1974, famous also for our precision watches and electronics. Our products encompass our extensive range of high performance including sliding and fixed head CNC lathes. INTERESTED? Please click apply. You will receive an acknowledgement of your application. Wallace Hind Selection, alongside our client embrace diversity, champion equality, and foster inclusion to create a work environment where everyone belongs and thrives. Please Note: Wallace Hind Selection have been chosen as the recruitment partner of our client. REF: AM18602, Wallace Hind Selection

Full TimeOn-siteLondon, UKPosted 2 weeks agoDOE GBP / Year Senior RF Engineer job in London – DOEHexwired is recruiting for a manufacturing company based in London now seeking a senior RF engineer to work on RF/Microwave module development, test and antenna design, for the firms next gen products.The company are expanding due to the requirements of their customers and is seeking a senior RF engineer, ideally familiar with PCB design at microwave frequencies.Key skills:RF system designAntenna theory, design and test experienceExperience in RF component selectionFamiliarity with RF test equipmentExperienced with design for test and design for manufactureMust be eligible for UK SC clearanceThe salary is dependent on experience, and the company also offers a comprehensive benefits package. If you’re interested in this Senior RF Engineer job in London, please apply.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.Tagged as: Electronics, Leadership, PCB, RF

Who are we?Tripledot Studios is one of the largest independent mobile games companies in the world.We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.Our ambition is to be the most successful games company in the world, and we’re just getting started.The role is working within our studio: Tripledot GamesAbout Tripledot GamesTripledot Games is a leading developer and publisher of casual and puzzle games, with a strong presence in London, Warsaw, and Barcelona. The studio is responsible for multiple top 10 titles, including Woodoku, Woodoku Blast, Solitaire, and TripleTile. Our best-in-class data-driven approach spans the entire lifecycle from publishing to machine learning puzzle levels, helping us make fast, smart decisions at every stage of development.We are also one of the largest IAA operators worldwide. Tripledot Games is a diverse and collaborative studio, home to people from over 36 nationalities. We take pride in our craftsmanship, strong focus on outcomes, and continuous improvement, building high-quality, scalable games that players around the world love.Role OverviewAs a Data Scientist in our Experimentation team, you will help deliver and improve Tripledot’s company-wide experimentation analysis platform. Working closely with Data Engineering, you will define the statistical logic and methodologies behind platform features, build prototypes in Python, and ensure the platform produces accurate, reliable results for product teams across our games portfolio.Your initial focus will include hands-on quality assurance: running independent analyses, comparing results with platform outputs, investigating discrepancies, and validating features and metrics. This offers the opportunity to develop deep expertise in experimentation and A/B testing across a sophisticated internal platform. As the platform evolves, the role will expand into more advanced statistical and machine learning work that delivers value across the business.Key ResponsibilitiesDefine statistical logic, calculation methods, and detailed requirements for experimentation platform features.Prototype statistical methodologies and analyses in Python before implementation.Partner closely with Data Engineers as they develop and improve the experimentation platform.Perform thorough data and feature QA by independently calculating results and comparing them with platform outputs.Investigate discrepancies, identify root causes, and help ensure metrics and analyses are accurate and reliable.Explore opportunities to automate QA processes and improve the efficiency and quality of validation.Build a deep understanding of experimentation methodologies, including A/B testing, monitoring, segmentation, and analysis.Collaborate with BI, Machine Learning, product teams, and other stakeholders to understand requests and shape effective solutions.Contribute to future statistical, algorithmic, and machine learning initiatives as the team’s priorities evolve.Skills, Knowledge and Expertise3-5 years of professional experience as a Data Scientist or in a closely related roleStrong Python skills, including the ability to prototype analyses and write clear, reliable scripts.Solid knowledge of statistics and standard statistical methodologies.Practical understanding of experimentation and A/B testing, including how metrics and results should be calculated and validated.Familiarity with machine learning methods and the ability to apply relevant approaches when needed.Excellent attention to detail and a disciplined approach to repetitive or methodical QA work.Strong problem-solving skills, with the initiative to propose creative solutions and process improvements.Clear communication skills and the ability to explain analytical methods, results, and rationale.Experience with experimentation platforms or high-volume digital products, such as gaming, e-commerce, or ride-hailing, would be valuable.Ability to critically evaluate and validate AI-generated code, analyses, or modelling suggestions to ensure correctness and reproducibility.Experience using AI-assisted tools (e.g. code assistants or analytical copilots) to accelerate data exploration, research prototyping, and development workflows while maintaining scientific and statistical rigor.Interest in exploring AI-driven approaches that improve experimentation platforms, developer productivity, or data science research workflows.Working at Tripledot25 days paid holiday in addition to bank holidays to relax and refresh throughout the yearHybrid Working20 days remote working: Work from anywhere in the world, or use the time to cover mandatory office days to WFH, 20 days of the year.Daily Free Lunch: when in the office you get 12 every day to order from JustEat. Regular company events and rewards: quarterly on-site and off-site events that celebrate cultural events, our achievements and our team spirit. Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]Life Assurance & Group Income Cover: Financial protection for you and your loved ones.Continuous Professional Development: Propel your career with continuous opportunities for professional development.Private Medical Cover& Health Cash Plan: Opt-in (P11d benefit) comprehensive private medical cover with Bupa and cash plan with Medicash.Dental Cover: Opt-in (P11d benefit). Cycle to Work Scheme: Salary sacrifice bike purchase scheme.Pension Plan: Qualifying earnings or opt-in 4% contributory match schemes offered.

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.Are you passionate about helping innovative startups build and scale on AWS? We're looking for a driven Account Manager to join our UKI Startup ISV segment, focused on identifying and nurturing the next generation of unicorns.We’re looking for a startup Account Manager to engage with Ireland Software growth and scale startups. As a Startup Account Manager, you will help drive the growth of your customers, servicing their unique needs, engaging with Founders, CxOs, Board of Directors and VC influencers, and teaming with business development, marketing, solution architecture and partner teams to lead execution of coordinated go-to-market strategies.Key job responsibilitiesIn this role, you will be responsible for driving and growing revenue, establish AWS as the key cloud technology provider across the companies you manage, promoting the entire AWS products and services portfolio to customers while providing a great customer experience. You are passionate about software startups, a self-starter who is prepared to work in a fast-paced, often ambiguous environment, execute against ambitious goals, and consistently embrace the Amazon Culture.You will be at the heart of latest trends like artificial intelligence (AI), machine learning (ML), serverless, helping your customers to leverage state-of-the-art technologies on AWS to innovate and become the next disrupters.Do you look around corners for ways to engage and service customers? Are you passionate about startups?Your responsibilities will include• Ensure customer satisfaction• Drive revenue and market share in a defined territory or industry vertical.• Hit revenue and goal targets• Develop and execute a comprehensive account/territory plan to manage and grow numerous accounts concurrently• Create & articulate compelling value propositions around AWS services• Accelerate customer adoption• Maintain a robust sales pipeline• Work with partners to extend reach & drive adoption• Compete and win strategic accounts from competitorsAbout the teamDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. Inclusive Team Culture AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic qualifications- Experience and track record of exceeding sales goals- Experience selling cloud solutions at a software company or equivalent- 7+ years of IT/Tech/Cloud sales experience in closing new and existing business and carrying quota- Knowledge of core cloud computing concepts including compute, database and higher order capabilities like microservices, analytics, serverless and AIML- Knowledge of UK Startup landscape and passion for helping startups growPreferred qualification - MS degree, or MBA- A technical or educational background in engineering, computer science- History of working for, or selling to tech startupsAmazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Job Title: Principal Software Engineer, AI InnovationCareer Architecture Role: Software EngineerCareer Architecture Tier: E35 (Principal, Expert Track)Job Summary:This is a founding engineer role in a new, innovation-focused team being built from scratch within Pearson's Enterprise Innovation function. The mission of the team is to drive early-stage, high-impact innovation initiatives: solving customer problems, supporting strategic deals, and co-innovating with external partners.You will lead the design and delivery of advanced AI solutions, collaborate with partners and product leaders to co-innovate, assess technical feasibility, and drive architecture decisions for high-impact, ambiguous, early-stage projects.Key Responsibilities:Partner with internal and external stakeholders to identify, assess, and co-develop AI-driven innovation opportunities.Shape and prototype early-stage ideas, taking undefined problems and helping define what gets built.Lead technical feasibility reviews and shape architecture for enterprise-scale AI initiatives.Decide how projects are executed — whether built internally, handed off to partners, or scaled through dedicated delivery teams — and drive that execution.Build and prototype across the full stack, using modern tools and infrastructure.Guide multiple engineering squads, ensuring execution of the co-innovation strategy and measurable business impact.Collaborate closely with UX and Product to deliver differentiated, cross-functional solutions.Required Skills and Competencies:Artificial Intelligence, Machine Learning, Automated AI (AutoAI), AI Agents (Advanced): Architect and deliver innovative AI solutions.Full-Stack Engineering, Modern Development Tools (Advanced): Build and prototype end-to-end across frontend, backend, and infrastructure.Cloud Computing, API Management, DevOps, Data Security, Information Security (Advanced): Lead technical execution and ensure compliance.Collaboration, Innovation, Cross-Functional Working, Technical Acumen, Problem Solving (Advanced): Influence across teams and partners, shape ideas, and drive differentiated solutions.Comfort with Ambiguity, Builder Mindset (Advanced): Operate effectively in undefined, fast-moving, early-stage environments.Learning to Learn, Adaptability, Ethical Responsibility (Effective–Advanced): Embrace new technologies and maintain high ethical standards.Qualifications (Education & Experience):Extensive experience in software engineering and AI innovation, with a broad full-stack skillset.Proven track record of working on early-stage or 01 products, shaping direction rather than only executing defined requirements.Demonstrated ability to thrive in ambiguity and collaborate cross-functionally with UX, Product, and external partners.Proven track record in partner co-development and technical delivery.Deep expertise in software architecture, cloud, and emerging AI technologies.A career history showing adaptability across products or problem spaces.#L1-CMFull timePosting Date: 2026-06-05

Python Data Scientist – Fintech80,000 Plus BonusQuant Capital is urgently looking for a Senior Data Scientist to join or well known Fintech50 client.Our client is a well-known cloud based fintech in the global payments and e invoicing space. They are a tech firm driven buy large scale data with huge enterprise clients.You will be joining a team that has built up an internal data warehouse serving multiple lines of businesses in the organization. A rapidly growing code-base, trained upon the data warehouse, is delivering descriptive and predictive business insights.The next step of this journey is to bring the machine learned models directly into production environments as part of the Data Science and Machine Learning as a Platform initiative. Your chief responsibilities will be to develop further client facing machine learning use cases across multiple lines of businesses and to oversee the end-to-end pipeline of transforming the selected use-cases into performance code and deploying them into production.In addition to Python you should also be familiar with at least one compiled language such as Java or C#.They are growing massively with clients and internal infrastructure moving to the cloud as well as Infrastructure as code.The Data Scientist should have:·Demonstrable hands-on experience in deploying and maintaining machine learning models in production environments·Processing massive amounts of structured and unstructured data using Spark/SQL/Hive·Familiar with offline (batch) and online (live/stream) data pipelines·Writing production code in Python·Understanding the full software development life-cycle (conduct data analysis and build large-scale machine-learning models/pipelines)·Exposure to the state-of-the-art data analytics products and solutions·Carrying out A/B test experiments·Experience in Big Data technologies (Hadoop, Spark)·Experience in data pre-processing, Machine Learning, and data visualisation·Experience with large relational and NoSQL databases·Communicating findings to non-technical audience·Mentoring and supporting junior data scientists and analysts·Comfortable running SQL queries to fetch data from the internal data-storeThe firm has a corporate feel but relies on entrepreneurship within its staff. It rewards on a pure merit basis with rapid progression actively encouraged. This team has a strong reputation in the market as breeding quick thinkers and adding real value to SME’sMy client is based near ReadingScala, Data Science, Python, Numpy, Machine Learning, Hadoop

Senior AI Risk Technical Advisory Lead Location London Business Area Legal, Compliance, and Risk Ref # 10052384 Description & Requirements DescriptionThe energy of a newsroom, the pace of a trading floor, the buzz of a recent tech breakthrough; we work hard, and we work fast, while keeping up the quality and accuracy we are known for. It is what keeps us inventing and reinventing, all the time. Our culture is wide open, just like our spaces. We bring out the best in each other through collaboration. Through our countless volunteer projects, we also help network with the communities around us. You can do amazing work here. Work you could not do anywhere else. It is up to you to make it happen.Bloomberg’s Chief Risk Office plays a central role in ensuring that innovation is pursued responsibly across our global operations. As AI becomes increasingly embedded in Bloomberg’s products, platforms, internal workflows, and client-facing capabilities, the Chief Risk Office is building practical advisory capabilities that help technical and product teams identify, assess, mitigate, and monitor AI risks throughout the lifecycle.What’s the role?We are seeking a Senior AI Risk Technical Advisory Lead to serve as a senior subject matter expert for AI risk and responsible AI across Bloomberg. This person will work closely with engineering, product, data science, legal, compliance, CISO, privacy, and risk stakeholders to provide practical, technically credible guidance on AI use cases, AI systems and data-related controls, risk assessments of AI systems, risk/control evaluation of third-party AI solutions, and AI regulatory expectations (e.g., EU AI Act) and industry standards.This role is designed for a senior practitioner who can bridge technical AI implementation and enterprise risk oversight. The person may have a matrixed or dual-reporting relationship to a technology or product-facing risk advisory leader to ensure strong connectivity with AI builders and front-line advisory teams, while maintaining alignment with the Chief Risk Office’s enterprise AI risk team.We’ll trust you to:Technical AI Risk AdvisoryProvide senior-level technical advisory support for AI and generative AI use cases across Bloomberg, including product, platform, internal tooling, automation, and third-party AI solutions.Evaluate AI risks related to bias, explainability, hallucination, robustness, model drift, data leakage, privacy, security, intellectual property, misuse, transparency, and human oversight.Advise teams on appropriate controls, testing, monitoring, documentation, and risk mitigation strategies based on use case, data sensitivity, model type, deployment context, and regulatory exposure.Review complex or higher-risk AI use cases and provide risk-based recommendations to governance forums and senior stakeholders.Help define practical technical standards for responsible AI development, testing, validation, deployment, monitoring, and retirement.Framework and Control DevelopmentPartner with the Head of AI Risk Management to mature Bloomberg’s AI risk management framework, including classification, risk tiering, assessment methodology, control expectations, and monitoring standards.Translate external frameworks and regulatory expectations into practical internal control guidance for technical and product teams.Develop reusable advisory materials, playbooks, review criteria, technical checklists, and model documentation expectations.Support the development of risk indicators and monitoring approaches for AI systems, including performance, drift, hallucination, bias, security, user feedback, and issue trends.Cross-Functional PartnershipPartner deeply with Technology, Product, Data, Legal, Compliance, CISO, Privacy, Procurement, and business teams to address emerging AI risks.Facilitate technical risk discussions and help resolve questions where product goals, engineering constraints, legal obligations, and risk appetite intersect.Serve as a senior escalation point for complex AI risk questions and emerging responsible AI issues.Support AI risk governance forums, executive updates, regulatory inquiries, and internal reviews.Enablement and Thought LeadershipServe as a trusted internal subject matter expert on responsible AI, technical AI risk, and AI control design.Develop and deliver training, guidance, and awareness materials for technical and non-technical stakeholders.Monitor developments in AI technology, AI regulation, industry standards, and emerging risk practices, and translate them into actionable program enhancements.You’ll need to have:10+ years of experience in AI/ML, data science, machine learning engineering, technology risk, model risk, security risk, data risk, or responsible AI.4+ years of experience directly focused on AI/ML risk, AI governance, model governance, model validation, responsible AI, or technical advisory for AI systems.Strong technical understanding of AI/ML and generative AI systems, including model development, model evaluation, data pipelines, embeddings, retrieval-augmented generation, prompt engineering, monitoring, drift, robustness, explainability, and safety testing.Demonstrated ability to assess technical AI risks and recommend practical controls in complex enterprise environments.Hands-on familiarity with generative AI platforms and tools, open-source models, vector databases, or related AI infrastructure.Experience partnering with engineering, product, data science, legal, compliance, privacy, security, and risk stakeholders.Strong understanding of privacy, security, data governance, and regulatory issues relevant to AI systems.Excellent communication skills, including the ability to explain technical AI risks to senior stakeholders and translate governance expectations for technical teams.We’d love to see:Experience working directly with AI/ML development teams on production systems.Experience in financial services, market data, media, enterprise technology, cloud, or other data-intensive environments.Familiarity with NIST AI RMF, ISO/IEC 23894, EU AI Act, OECD AI Principles, model risk management, or responsible AI frameworks.Experience with AI red teaming, model evaluation, bias testing, explainability tooling, monitoring tools, MLOps, LLMOps, or AI governance platforms.Experience advising on third-party AI tools, enterprise AI platforms, or AI-enabled vendor solutions.Certifications or advanced training in AI/ML, data science, privacy, information security, risk, or compliance.A pragmatic approach to enabling innovation while managing risk.If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. 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Junior Software Engineer -Trading Leading London-based trading firm has an outstanding opportunity for a senior developer to join their Algo Trading Strategy team.This will be building out a brand new greenfield trading platform. You will be 1 of 3 developers for this project.Our client is a successful brokerage and trading firm with performance figures of 22%. They are currently looking to expand their market making system by leveraging high and intraday trading presence across FX, equities and commodities. As a Senior Software Engineer you will:•Work closely with the Head of Trading and the Quant Team and assist in design and development of new trading algorithms, mainly in Java/C++ and some front end .NET•Create a new greenfield low latency trading platform.•Improve/maintain existing strategies•Develop utility applications and excel tools to help with trading activities•Work with traders, understand requirements for new applications and strategies to develop and also resolve issues if any•Build a new back office systemThis is an opportunity for someone that wants to work with a smart people in a collaborative environment that is solely focused on cross asset trading.They avoid the bureaucracy of larger organisations, and keep their management structures flat. Decisions are made efficiently; changes are implemented quickly.It’s a friendly, open place where people are motivated because they enjoy what they’re doing.Java Developers MUST have:Computer Science or Machine learning BSc or Masters or PhD from a top 40 University Globally Some commercial Java Development experience; we would consider C++ but core coding is Java Core Java SQL Good understanding of general programming concepts, diligent coder. This is an outstanding opportunity for a Java developer to join a growing trading business at a time of significant interesting growth within the sector. You will gain massive exposure to High Frequency Trading.My client is based in the City of LondonJava Developer, C++ Developer, Quant, Junior Quant, C++ Java, SQL Matlab, Quant Trader, Quantitative,

The AI Engineer designs, builds and operates scalable, secure AI solutions for JCDecaux UK, with a focus on Copilot implementations and agentic AI that augment users and automate complex workflows. The role converts business and data requirements into production-grade AI assistants, copilots and intelligent agents embedded into products, processes and decision making. Working closely with technology and business teams, the AI Engineer oversees solutions from experimentation through to deployment, optimisation and support, ensuring they integrate with JCDecaux UK’s digital, data and technology landscape. The role supports JCDecaux UK’s vision and mission by using advanced AI to pioneer real-world communications and enhance client and consumer understanding.Reports to: Chief Innovation and Technology OfficerWhat you'll be doing...Design and implement AI copilots and agentic AI solutions that assist users, automate multi-step tasks and orchestrate calls to internal tools and systems.Translate business use cases into Copilot scenarios, prompt flows, connectors and agent behaviours, defining secure, scalable solution architectures.Build and maintain AI components (e.g. RAG, classification, recommendation, summarisation) using Python and modern ML/LLM frameworks.Implement end-to-end MLOps pipelines for development, testing, deployment and monitoring of Copilot and AI solutions, and deploy them into production environments (e.g. Microsoft 365 Copilot, Azure, internal apps).Integrate AI agents with enterprise systems (e.g. CRM, ERP, scheduling, inventory, data platforms) via APIs and microservices.Collaborate with data engineers to design data pipelines, retrieval layers (vector stores, search indices) and large-scale processing using big data frameworks.Implement monitoring, logging and analytics to track usage, performance, quality and user satisfaction, and lead optimisation to address issues such as drift, hallucinations and latency.Contribute to AI engineering standards, guardrails and best practices, and support incident investigation and resolution with Service Delivery.Ensure solutions comply with security, privacy, compliance and ethical AI requirements, including access controls, data protection and risk assessments.Share knowledge and mentor colleagues to build AI literacy and capability across IT and the wider business.A little bit about you...Degree in Computer Science, Data Science, Software Engineering, Mathematics, Engineering or a closely related field.Previous experience in AI, data science, ML engineering or advanced analytics.hands-on experience designing, building and deploying Copilot and/or agentic AI solutions (e.g. Microsoft 365 Copilot extensions, Azure OpenAI-based copilots, custom AI assistants/agents).Strong proficiency in Python for AI/ML development, including use of common ML and data libraries (e.g. TensorFlow/PyTorch, scikit-learn, pandas, NumPy).Proven experience integrating AI services with enterprise systems via APIs and event-driven architectures.Practical experience with LLMs, prompt engineering, RAG and tools/plugins for agents and copilots.Familiarity with cloud platforms (ideally Azure) and AI services (e.g. Azure OpenAI, Azure Machine Learning, or equivalents).Experience working in agile, cross-functional delivery teams.Desired but not essential…. Postgraduate study or certifications in AI, machine learning or data science.Cloud certifications (e.g. Azure, GCP, AWS) and relevant AI/ML credentials.Experience with big data and distributed computing (e.g. Spark, Databricks, Hadoop or cloud-native alternatives).Experience with containerisation and DevOps/MLOps tools (e.g. Docker, Kubernetes, Git, CI/CD, MLflow, Airflow).Strong experience with data engineering concepts (ETL/ELT, data integration, warehousing, vector databases/search)A little bit more about us...We believe in building a diverse and inclusive culture and positive employee experience. We are One Team, more than just ourselves.We are customer first, we understand, and help solve our customers’ problems.We Test & Learn, we are empowered to learn and grow, unafraid of change.We choose to care, we are committed to doing the right thing, the right way.It’s really important to us that we give as much to our colleagues as they give to us.Our latest Belonging Survey showed that our colleagues feel valued and listened to as we continue to build an environment where everyone can thrive, grow, belong and be their authentic selves.We believe that diversity of thought, experience and background provides the platform for great creativity,We are committed to equal employment opportunities regardless of race, colour, ancestry, religion, national origin, sexual orientation, age, citizenship, marital status, disability or gender identity.Many of our Colleagues work flexibly in many different ways. Please talk to us at interview about the flexibility you need. We can’t promise to give you exactly what you want, but we do promise not to judge you for asking.About our recruitment process….1. You find or get sent this job advert, read it, and feel like you’re you’d be a great addition to the JCD family.2. You send in your application to let us know you’re interested.3. We see your application, get excited, and give you a call.4. You’ll meet us twice, depending on the role prepare a presentation and we’ll get to know each other.5. You’ll begin your journey with us, we're excited to support and develop you throughout your career.SummaryLocation: London - PaddingtonType: Full time

BMI is currently seeking a Data Scientistbased out of our London, or Manchester BMI's systematic, independent, and data-driven market insights, analysis and forecasts enable customers to recognize and assess risks and opportunities across markets and industries. For almost 40 years, we have provided impartial views to support our customers’ strategic plans and investment decisions. At BMI, we’re proud of the work we do to help our clients manage risks and opportunities in global markets, which began in 1984 and continues to this day. By stepping into a role here, you will help shape the strategic decisions of the world’s leading organizations. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with industry experts, thought leaders, and visionary executives, collectively working towards shaping the future of businesses that span a multitude of sectors. Our people are at the heart of everything we do, and we continuously strive to offer our colleagues a great place to work, with opportunities to learn, innovate, develop their careers, and serve the community.Want to learn more about a career at BMI? Visit: About the Team BMI's team integrates cross-domain expertise (Economics, Politics, 20+ industries, ESG, Commodities) and computer science to create systematic country risk analytics that are transparent and can be validated. We build and maintain robust models that our customers use to identify and manage country risks.Joining as a Data Scientist to support risk research and analysis, you will help shape the strategic decisions of the world’s leading organizations. Candidates will have the opportunity to explore, analyze, and write about our proprietary risk data for different use cases and aid in product development. As a member of our team, your role will go beyond conventional boundaries. You will collaborate with experts across risk management and other domains.As a Data Scientist, you will design, build, and deploy quantitative models that power advanced analytics and insights for our clients. You will work closely with country analysts, industry analysts, economists, political scientists, data scientists, and backend developers to deliver interpretable, scalable solutions. Your expertise will help us innovate and adapt our modeling frameworks to address diverse customer needs in a fast-paced, collaborative environment.How You’ll Make an Impact:Prototype and test new approaches for extracting insights from structured and unstructured data for our core customer base – Corporates, Banks, Professional Services, and Asset ManagersDevelop and maintain robust ML and data pipelines for experimentation and deployment.Design, build, and optimize risk models for analytics and generative AI applications using our proprietary NLP data generation process.Collaborate cross functionally with Economists, Industry Analysts, Political Scientists, and Developers.Explain ML/NLP model outputs and methodologies to non-technical stakeholders.You May be a Good Fit if:Substantial experience querying, cleaning, compiling, and analyzing big data.Strong appreciation of software engineering fundamentals such as code quality, code reviews, unit testing and developing code that is supportable and maintainable.Experience of developing quantitative models under source control that are fully documented and reproducible.Familiarity applying various computational social science methods including data mining, data visualization, natural language processing, text analysis, and basic time series forecasting and machine learning models.Familiarity with scenario analysis/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required.Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.).Proven experience developing, refining, and monitoring NLP models.Familiarity with database management tools and techniques (e.g., SQL, Selenium, S3, Sagemaker, API protocols) is preferred but not required.Understanding model evaluation methods and metrics.Ability to operationalize non-technical ideas into relevant research designs, features, and model outputs.Familiarity with experiment tracking and model management tools (e.g., DVC, Weights & Biases).Demonstrated experience with interpretable AI techniques.What Would Make You Stand Out:Degree in a quantitative subject (e.g. mathematics, physics, engineering or data science)Experience of working as a developer in a corporate environment and production support experience.Exposure to different cloud-based data and analytics platforms (e.g. AWS, DataBricks, Snowflake).Advanced degree or certification in NLP, ML, or related fields.Familiarity with DevOps practices and tools.Hands-on experience with experimentation and model tracking tools (e.g., MLFlow, Weights & Biases).Demonstrable impact of technical solutions or projects on decision-makingExperience working in fast-paced, agile environments.Customer-facing experience, notably in understanding end user needs and building collaborative relationships.Why Choose Fitch:Hybrid Work Environment: 3 days a week in office required A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunityInvesting in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goalsPromoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeingSupportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectivelyInclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globeDedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your communityFitch 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 interest 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 is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluatequalified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. #LI-Solutions#LI-hybrid

Job Role: Data EngineerEvery functional area, in every industry, is on an AI Journey. The power of machine learning to dramatically improve company key performance indicators is being proven every day. But, although we feel every large organisation is on an AI journey, the path to value is unclear.There are three key barriers to deploying AI and machine learning at scale:Building data pipelines that feed both the development and deployment of machine learning modelsImproving consistency, reducing effort and expanding the ability of data scientists to address the growing range of business problems from prediction to prescriptionBuilding out the necessary infrastructure to support 100s of machine learning models in production, including the necessary governance and compliance patternsAt Cognizant we are proud to be helping our clients on their journey to AI at scale. We’ve built practices that bring together the best talent to address these key barriers, and have built unique capability to complement our people:Our Adaptive Data Foundation brings together our accelerators, partnerships and consulting approach to help clients solve the increasing demands for dataOur Evolutionary AI technology and patents is reducing the effort required to develop deep learning and other sophisticated models. It’s particularly adept at addressing prescription problems, from marketing to next best action to supply chainOur architecture frameworks help clients navigate technology choices throughout the AI process. As well as building capability in close collaboration with the leading cloud providers, we are working with startups that address the critical engineering challenges that machine learning bringsClient demand has meant that we are growing these practices at an unprecedented rate. We are looking for people that can bring existing strengths in data engineering and data science but we want to hire people that share our vision and want to grow their own skills across the problem space.Job descriptionAre you passionate about transforming and shaping leading organisations? Do you enjoy providing solutions to complex business problems for opportunities requiring in depth knowledge of organisational objectives? Would you like to be part of the digital team and a major contributor on large deals which will have a real impact on the company’s success?Come and join our team in London as a Data Engineer and be part of our exciting growth.We offer you an environment where everyone’s opinion matters, ideas are openly shared, where change is the norm and where you will work with some of the fastest moving, well recognised brands in the world.Who are we?The IMS is a Technology Practice within Cognizant’s AI & Analytics organisation. We support Cognizant engagements across all client industry verticals.Our unique team engages with senior customer stakeholders, to translate strategy and vision into digital journeys, across modern technology estates, specialising in data engagements.What will you do?We are looking for enthusiastic Data Engineers with 3-10 years of expertise in the Data Engineering space with eagerness to learn and deliver large complex Digital Transformation programmes across UK & Ireland. As a Data Engineer you will have worked on Data Integration into Cloud Data Warehouses or Data Lakes, programming, APIs, etc. in an Agile environment.Your key responsibilities will be:Identify and analyse user requirementsPrioritize, assign and execute tasks throughout the software development life cycleDevelop new applicationsWrite well-designed, efficient codeReview, test and debug team members’ codeEnsure our applications are secure and up-to-dateWhat experience are we looking for?Work experience as a Core Java Developer or similar roleExperience designing, building and testing Java applicationsIn-depth knowledge of popular Java frameworks like JSF and Spring MVCGood time management skillsProblem-solving abilitiesExpertise or exposure to the following will be good to have else we will be enable you with the required trainingAWS Glue and Data Catalog, EMR, Athena, S3, Redshift / RDS, Kafka/Spark, AWS Security, IAMOR Azure Data factory, Azure Data bricks, Azure Data Lake, Azure SQL DW & Azure SQL, Azure Storage, HDInsight (Spark/Kafka),Azure Event Hub, Azure AD/IAM and Data CatalogORCloud DataFlow, DataPrep, CloudSQL, BigTable, BigQuery, Cloud Spanner, Kafka/Spark, Google Cloud IAMWhy should you apply? For top talent we offer a highly competitive salary and a number of other benefits: Bonus programmeMedical and dental careLife InsuranceChildcare VouchersPension schemeFriendly work cultureExcellent growth and advancement opportunities Permanent 40,000 - 75,000

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world’s leading fintech companies and are off to a strong start:One of the UK’s newest unicorns with a team of just over 700 peopleAmong the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman SachsLoved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.Join us if you want toTake ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingThis role can be based out of either our London or Chatham offices.Role OverviewDrive back office performance by monitoring case volumes, agent activity, and workload across Complaints, Financial Crime, Fraud & Card Disputes, and Fraud Investigations.Accountable for maintaining schedule accuracy in Assembled (our Workforce Management platform) - processing intraday adjustments for absence, lateness and non-productive time to keep capacity aligned with demand and protect SLA targets.Deliver clear, timely intraday reporting, providing back office stakeholders with actionable insights on performance, agent activity and resource risk.Key ResponsibilitiesWe are looking for a proactive and detail-oriented Back Office Real Time Coordinator to join our Workforce Management team at Lendable. This is a newly created role, sitting at the intersection of Workforce Management and back office operations - you will be the dedicated real-time point of contact for our Complaints, Financial Crime, Fraud & Card Disputes, and Fraud Investigations teams.Unlike frontline coordination, this role requires an understanding of case-based workflows: how cases age, where backlogs build, and how to direct resources in a way that protects SLAs. You will work closely with the Workforce Lead and directly support Team Leaders and Operational Managers across all back office functions.Success means making data-driven decisions on the fly to optimise agent schedules, handle unexpected shifts in volume, and communicate clear, actionable, performance trends to stakeholders at all levels. If you are a natural problem-solver with a sharp eye for details who thrives in a dynamic, fast paced environment, we want you on our team! You will report directly to the Workforce Lead.Responsibilities:Intraday Capacity & Workload Management: Monitor real-time case volumes and throughput across back office queues (Complaints, Financial Crime, Fraud, Card Disputes, Fraud Investigations), identifying capacity risks and recommending resource reallocation to protect SLA targets.Schedule & Rota Adjustments: Process intraday schedule adjustments including absences, lateness, and unplanned non-productive time. Work with the Workforce Lead and Back office operational leaders to optimise available capacity against live workload demand.Performance Monitoring & Reporting: Actively track agent schedule adherence and productive time, flagging deviations to team leaders and operational managers. Generate and distribute intraday and daily performance snapshots covering key back office metrics such as volumes worked, SLA performance, and back office occupancy.Communication & Collaboration: Act as the primary real-time point of contact for back office operational matters, proactively communicating performance risks to relevant team leaders and the Director of Complaints and Fraud. Partner with the Workforce Lead to develop Assembled capability for back office teams, including building out relevant reporting and scheduling features.Escalation Management: Identify and escalate system issues, significant deviations from planned capacity, or emerging SLA breach risks to the Workforce Lead and relevant operational leads promptly.Building the Function: As this is a newly created role, you will play an active part in shaping how back office real-time coordination works at Lendable — documenting processes, defining metrics, and establishing ways of working with each team.Qualifications:Analytical Skills: Analytical and problem-solving abilities to interpret real-time data, identify trends, and make informed decisions quickly.Back Office Experience: Experience working in or closely with a back office function (Complaints, Financial Crime, Fraud, or similar) is desirable. An understanding of case-based workflows, SLA management is advantageous.Communication Skills: Excellent verbal and written communication skills to effectively convey real-time information, collaborate with team members, and escalate issues when necessary.Technical Aptitude: Proficiency in using real-time monitoring tools, analytics platforms, and software systems. Knowledge of workforce management software (Assembled, Calabrio, Genesys) is beneficial.Time Management: Ability to prioritise tasks, manage multiple streams of real-time data simultaneously, and work under pressure to meet tight deadlines and service level requirements.Interview Process1) 15 minute online Assessment2) 30 minute call with a member of the Talent Team3) Onsite Interview with the hiring manager4) 30 remote interview with Director of Complaints, Fraud and FinCrimeLife at LendableWinning team: the opportunity to scale up one of the world’s most successful fintech companiesFlexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.Check out our blog!LocationLondon/KentEmployment TypeFull timeLocation TypeHybridDepartmentOperations

About LendableLendable is on a mission to build the world's best technology to help people get credit and save money.We're building one of the world’s leading fintech companies and are off to a strong start:One of the UK’s newest unicorns with a team of just over 700 peopleAmong the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman SachsLoved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.Join us if you want toTake ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleReports to: Operations Manager (US Cards & Loans)As a Team Lead in Customer Operations, you will lead, coach, and develop a team of approximately 10 front-line agents responsible for delivering exceptional service and support to our US customers, across our Cards product. You will ensure the consistent achievement of key performance indicators (KPIs), use data and insight to foster continuous improvement, and champion initiatives that streamline processes and improve customer experiences. You will dedicate a substantial portion of your time (up to 30%) to identifying and supporting process improvements, leveraging frontline insights to inform automation, digital enhancements, and re-engineering of complex workflows. You will play a pivotal role developing your team, managing risk, ensuring compliance, and collaborating cross-functionally to deliver the best possible customer and business outcomes.Key ResponsibilitiesTeam Leadership & DevelopmentLead, coach, and inspire a team of 10 agents, ensuring they deliver high-quality, empathetic support and achieve team and individual KPIs (e.g. quality, compliance, productivity, SLAs).Foster a culture of accountability, continuous learning, and best practice, tailoring support and development to the needs of each team member and identifying emerging talent.Conduct regular individual and team performance reviews, providing actionable feedback and targeted coaching.Performance Management & Data-Driven ImprovementMonitor and analyse a variety of data sources (KPIs, dashboards, call listening, QA, customer feedback) to assess individual and team performance.Identify trends, performance gaps, opportunities for improvement, and design appropriate action plans to uplift service quality and efficiency.Escalate and resolve issues proactively, using data and customer insights to drive change.Process Excellence & Continuous ImprovementDedicate up to 30% of your time to reviewing customer and team interactions (calls, chats, digital correspondence, workflows) to identify process pain points and improvement opportunities.Collaborate cross-functionally with Product, Technology, and Operational teams to support automation, system enhancements, and re-engineering of complex processes.Champion and embed process changes, ensuring they improve customer journeys, efficiency, compliance, and accessibility, especially for vulnerable or high-risk customers.Compliance, Risk & QualityEnsure your team's customer interactions meet regulatory and compliance standards relevant to all customer segments, with particular attention to those in vulnerable or complex situations.Promote risk awareness, adherence to policies, and corrective action where necessary.Support in embedding governance, quality frameworks, and change management initiatives within the team.Stakeholder Engagement & CommunicationCommunicate performance, risks, best practices, and improvement recommendations to the relevant Head of Department and across teams as required.Act as an advocate for frontline feedback and customer insight, driving positive change through cross-functional collaboration.Experience & SkillsProven experience leading, managing or supervising customer-facing, operations, or support teams in a regulated, fast-paced, and/or tech-enabled environment.Experience in driving the performance and development of individuals and teams against ambitious targets.Analytical skills, with the ability to interpret a range of data sources (dashboards, QA, customer feedback) to inform coaching and process improvements.Demonstrated ability to motivate, coach, and develop a diverse team; skilled at recognising and nurturing emerging talent.Comfortable working with CRM/case management systems, digital platforms, and supporting technology-driven change (automation, AI, etc.).Strong written and verbal communication skills, with the ability to engage, motivate, and influence at all levels.Experience working within compliance, risk management, or regulated environments, particularly in the US, is desirable.Behaviours & ApproachChampions a customer-first mindset: committed to delivering compassionate, fair, and tailored support, particularly for customers in vulnerable or complex situations, while always seeking opportunities to enhance efficiency and streamline the customer journey.Proactive and solutions-oriented; thrives on analysing problems, leading change, and delivering continuous improvement.Data- and insight-driven; uses evidence to inform decision-making and team management.Inclusive leader, motivating teams through change and fostering a culture of development, accountability, and collaboration.Personally resilient, adaptable, and accountable; able to balance customer, business, and risk priorities.Embraces technology, innovation, and new ways of working to deliver better outcomes for customers and colleagues.Working PatternBi-weekly rotation:10am - 7pm12pm - 9pmMonday & Friday: WFHTuesday - Thursday: London officeLife at LendableWinning team: the opportunity to scale up one of the world’s most successful fintech companiesFlexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.Check out our blog!LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentOperations

hackajob is partnering directly with Accenture to hire for this role. \n YOU ARE \n As an AI/ML Computational Scientist, you will design, build, and operationalize artificial intelligence and machine learning solutions for enterprise clients, combining custom models with cloud and third-party AI services to deliver production-ready outcomes. Your role spans the full solution lifecycle - assessing client ... \n \n \n ZIPC1_UKTJ

hackajob is partnering directly with LexisNexis to hire for this role. \n Machine Learning Engineering Lead \n Are you passionate about designing and deploying intelligent machine learning solutions that drive business impact? \n Do you enjoy leading teams, building scalable ML systems, and turning complex data into innovative products and services? \n About the team: \n We are a software engineering team responsibl... \n \n \n \n ZIPC1_UKTJ

hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION\n \n Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transforma... \n \n \n \n \n \n \n ZIPC1_UKTJ

The CDAO is also responsible for developing and implementing solutions that support the firm’s commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management, effectively and responsibly.

WHAT MAKES US EPIC?At the core of Epic’s success are talented, passionate people. Epic prides itself on creating a collaborative, welcoming, and creative environment. Whether it’s building award-winning games or crafting engine technology that enables others to make visually stunning interactive experiences, we’re always innovating.Being Epic means being a part of a team that continually strives to do right by our community and users. We’re constantly innovating to raise the bar of engine and game development.ENGINEERING - GAMESWhat We DoUnreal projects have been leading the pack of real-time entertainment with our constantly growing team of engineering experts. We’re always improving on the tools and technology that empower content developers worldwide.What You'll DoYou will work with our team of applied research engineers at the intersection of computer vision, gameplay agents, natural language processing, and machine learning to create state-of-the-art tools to support game developers in our ecosystem with a focus on bots (trained gameplay agents, intelligent NPCs, companions, world modeling), as well as automation of a number key areas (including moderation, security, and QA testing). You will be responsible for the design, implementation and deployment of production-ready machine learning models that can be integrated in our ecosystem.In this role, you willCreate and deliver production-ready, scalable and high-quality machine learning models and associated algorithms that can make actions in game environmentsCritically assess the effectiveness of such models and make recommendations for the ongoing roadmapMethodically understand and assess the effectiveness of new data channels and support collection/creation of new onesWhat we're looking forPhD in Computer Science, Mathematics or related field, or 3+ years of relevant industry experience Experience creating / applying machine learning algorithms for action modeling of bots behavior, vision-based or language-instructed, and deploying them as production-level systems in-gameExpert, hands-on knowledge of:Deep learning, incl. but not limited to applications in the gaming industryFoundational models and vision and/or language, especially vision-language-action models, reinforcement learning agents, incl. local deployment and model post-training of open weights modelsReinforcement learning, incl. experience with agentic systems, reward design, policy optimisation, evaluation, and building scalable training environments for agentsPython and associated ML tools/frameworks (numpy, scipy, sklearn, pytorch)Experience with working collaboratively with other developers, following a flexible/agile/lean approachEPIC JOB + EPIC BENEFITS = EPIC LIFEWe pay 100% for benefits except for PMI (for dependents). Our current benefits package includes pension, private medical insurance, health care cash plan, dental insurance, disability and life insurance, critical illness, cycle to work scheme, flu shots, health checks, and meals. We also offer a robust mental well-being program through Modern Health, which provides free therapy and coaching for employees & dependents.ABOUT USEpic Games is a leading interactive entertainment company. For over 30 years we've been making award-winning games and engine technology that empowers others to make visually stunning games and 3D content that bring environments to life like never before. Epic's award-winning Unreal Engine technology not only provides game developers the ability to build high-fidelity, interactive experiences for PC, console, mobile, and VR, it is also a tool being embraced by content creators across a variety of industries such as media and entertainment, automotive, and architectural design. As we continue to build our Engine technology and develop remarkable games, we strive to build teams of world-class talent.Like what you hear? Come be a part of something Epic!Epic Games deeply values diverse teams and an inclusive work culture, and we are proud to be an Equal Opportunity employer. Learn more about our Equal Employment Opportunity (EEO) Policy here.Note to Recruitment Agencies: Epic does not accept any unsolicited resumes or approaches from any unauthorized third party (including recruitment or placement agencies) (i.e., a third party with whom we do not have a negotiated and validly executed agreement). We will not pay any fees to any unauthorized third party. Further details on these matters can be found here.

Job ID: 98098204992Posted: 2026-07-21Location: London, England, United KingdomCategory: Technology, Applications Development, ExecutiveCompany: CitiOur VisionWe are building a next-generation system that reimagines banking workflows for our Corporate, Commercial, and Investment Bankers. Our vision is to empower them with a revolutionary Agentic AI Platform, featuring intelligent, autonomous agents that streamline processes, uncover new opportunities, and deepen client relationships—ultimately leading to significant productivity gains and increased wallet share. We are looking for a visionary, hands-on engineering leader to build and scale the platform that will make this a reality.The RoleAs the Director of Agentic Platform Engineering, you will be a player-coach responsible for the technical vision, architecture, and execution of this greenfield platform. You will join a world-class engineering team being built from the ground up, while remaining deeply technical and contributing to the core development of the platform. This is a unique opportunity to blend strategic leadership with hands-on engineering to build a product that will have a direct and measurable impact on the front lines of our business.Key ResponsibilitiesPlatform Architecture & Development: Lead the design, architecture, and hands-on development of a scalable, secure, and resilient agentic AI platform from concept to production.Technical Leadership & Hands-On Engineering: Serve as the lead engineer and technical authority, guiding critical decisions on frameworks, technologies, and infrastructure. You will be expected to write code, build prototypes, and lead by example.Team Building & Mentorship: Recruit, hire, and mentor a high-performing, agile team of software and machine learning engineers. Foster a culture of innovation, excellence, and accountability.Strategic Roadmapping: Partner closely with product management and senior business leaders in banking to define the product strategy and technical roadmap. Translate complex business needs into elegant technical solutions.Cross-Functional Collaboration: Partner effectively with horizontal AI platform teams, enterprise architecture, and external vendor partners to leverage existing capabilities, influence roadmaps, and accelerate delivery.AI & ML Integration: Drive the strategy for integrating and operationalizing Large Language Models (LLMs), agentic frameworks (e.g., Google ADK, LangChain,), and other AI/ML technologies to solve real-world banking challenges.Operational Excellence: Implement and champion best-in-class engineering practices, including CI/CD, automated testing, infrastructure-as-code, and robust monitoring to ensure enterprise-grade reliability.Business Impact: Define, measure, and report on key performance indicators (KPIs) related to platform adoption, user productivity, and the ultimate impact on business outcomes like wallet share growth.Compliance & Security: Ensure the platform adheres to the highest standards of data privacy, security, and regulatory compliance required in the banking industry.Qualifications & ExperienceEducation: Bachelor's or Master’s degree in Computer Science, Engineering, or a related technical field.Experience: Significant experience in software engineering, with proven years in a leadership role, leading high-performing engineering teams.Hands-On Leader: Proven experience as a "player-coach" who can lead from the front, contribute to the codebase, and mentor junior and senior engineers.Platform Building: A strong track record of designing, building, and launching scalable, distributed, cloud-native platforms from the ground up.Domain Knowledge: Experience in the financial services industry (Corporate Banking, Investment Banking, FinTech) is a significant plus. An understanding of banking workflows and data is highly desirable.Communication Skills: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and to articulate a clear technical vision that aligns with business goals.Technical SkillsAI / GenAI / Agentic PlatformsLLM & Agentic Frameworks: Deep expertise in building production-grade agentic systems using GCP as primary (ADK, Vertex AI)Multi-Agent Systems: Hands-on experience designing and implementing multi-agent architectures (task decomposition, coordination, orchestration, and agent-to-agent (A2A) interaction patterns)Model Context Protocol (MCP) & Integrations: Experience integrating agents with enterprise tools and data sources using MCP or equivalent context-sharing patternsKnowledge Graphs & Reasoning: Building and leveraging knowledge graphs for context enrichment, reasoning, and workflow automationRAG & Knowledge Systems: End-to-end RAG pipelines using enterprise search + vector stores (e.g., Elastic, Pinecone) with grounding, evaluation, and optimizationModel Lifecycle & Governance: Model evaluation, monitoring, prompt/version control, and Responsible AI / MRM complianceEnterprise AI Integration & DataAPI- and event-driven integration of AI into enterprise workflowsData platforms: Databricks, Spark, Snowflake; streaming via KafkaBackend & Distributed SystemsLanguages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus)Architecture: Microservices, domain-driven design, event-driven systemsAPIs & Integration: REST/gRPC; Apigee, KongData & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, KafkaCloud & DevSecOpsCloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency)Containers: Docker, Kubernetes (GKE/EKS)IaC: TerraformCI/CD: GitHub Actions, JenkinsObservability: Splunk, ELK, Prometheus, GrafanaSecurity & ComplianceSecure coding, API security, Zero TrustData privacy, encryption, access controlRegulatory compliance and AI governance (MRM)What We OfferA leadership role in a high-priority, transformative initiative with executive visibility.The opportunity to build a cutting-edge AI platform from scratch.A competitive compensation package including salary, bonus, and benefits.A collaborative and innovative culture that values technical excellence and business impact.What we’ll provide youBy joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as:27 days annual leave (plus bank holidays)A discretional annual performance related bonusPrivate Medical Care & Life InsuranceEmployee Assistance ProgramPension PlanPaid Parental LeaveSpecial discounts for employees, family, and friendsAccess to an array of learning and development resourcesVisit our Global Benefits page to learn more.Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive.------------------------------------------------------Job Family Group: Technology------------------------------------------------------Job Family:Applications Development------------------------------------------------------Time Type:Full time------------------------------------------------------Most Relevant Skills Please see the requirements listed above.------------------------------------------------------Other Relevant Skills For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.View Citi’s EEO Policy Statement and the Know Your Rights poster.