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At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager – Databricks AI & Data Client Solutions Lead Location: London, UK (Hybrid) Level: Senior Manager Practice: AI & Data We are looking for an outstanding Senior Manager – Databricks AI & Data Client Solution Lead to help scale our Databricks-led AI and Data business. This role is for someone who can be deployed directly with clients to identify business challenges, shape Databricks-based solutions and lead teams to deliver production-grade data, analytics, AI and GenAI capabilities. This is a leadership role at the intersection of consulting, technology, innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with Databricks, client executives, and sector teams to develop market-leading propositions, shape strategic opportunities, build high-performing teams, and deliver transformative data and AI programs powered by Databricks. The opportunity Clients increasingly need to modernise fragmented data estates, industrialise AI, build trusted data products and operationalise GenAI at scale. As a Senior Manager, you will help clients use Databricks to: • Build modern lakehouse architectures ready for AI, • Industrialise data engineering and ML pipelines., • Build governed data products., • Deliver AI solutions that improve decision-making across business workflows. This is a role for someone who can work from boardroom to engineering squad — shaping the business case, designing the solution and leading delivery Key Responsibilities Client Advisory & Solution Shaping • Engage with senior business and technology stakeholders to identify business problems and value pools, translate business needs into Databricks-led solution designs, build prototypes and proof points., • Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Team Leadership & Delivery • Build, lead, upskill and mentor a high-performing team of Databricks engineers, and consultants., • Land into a client environment, decode the business pain, build a prototype or solution narrative, align stakeholders, create a commercial case, and then mobilise delivery with a team of Databricks trained experts, • Ensure successful delivery of complex Databricks led transformations, including: Data Platform Modernisation, Data Products, AI solutions, Data Governance and Operating Models, • Provide oversight for solution governance, architecture reviews, and key design decisions. Alliance Leadership • Work closely with Databricks alliance leadership to identify and execute joint go-to-market opportunities., • Collaborate on co-selling opportunities, innovation workshops, industry campaigns, and executive events., • Act as an ambassador for the firm's AI & Data capabilities across the Databricks ecosystem. Sales & Growth • Work closely with account leaders, sector leaders, and other practice leaders to develop a strong Databricks opportunity pipeline., • Develop differentiated propositions that combine deep industry expertise with Databricks technology capabilities and contribute directly to revenue growth and sales targets across AI & Data services. What Success Looks Like The successful candidate will: • Become a recognised Databricks AI and Data leader internally and externally., • Shape and close strategic Databricks-led opportunities and create a sustainable and growing pipeline of transformation programmes that contribute significantly to AI & Data practice growth., • Establish a leading Databricks capability recognised for technical excellence and innovation., • Translate business challenges into practical, scalable Databricks-powered solutions., • Increase joint pipeline, co-sell activity, and strategic engagement with Databricks. Skills & Experience Essential • Extensive experience in consulting, technology advisory, or data transformation roles, • Advanced level certifications in Databricks Partner Champion certifications, • Deep expertise across the Databricks ecosystem - Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities, Genie etc, • Proven track record of shaping and delivering large-scale data and technology transformation programmes., • Experience leading multidisciplinary teams of architects, engineers, consultants, and delivery professionals., • Strong stakeholder management and executive communication skills., • Commercial mindset with experience supporting sales, pipeline development, and revenue growth., • Demonstrated ability to coach, mentor, and develop high-performing teams. Desirable • Experience working directly with Databricks account teams and alliance organisations., • Experience in industry-led digital transformation programmes., • Knowledge of Responsible AI, AI governance, and enterprise adoption frameworks, • Commercially astute and growth oriented mindset. If you are passionate about building teams, shaping transformative client solutions, and creating market-leading AI capabilities powered by Databricks, we would love to hear from you. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity: In Assurance at EY, we empower you to thrive in a dynamic and inclusive environment. As a key player in our assurance practice, you'll engage with diverse clients, providing critical insights that drive their success. We offer a wealth of career opportunities, from hands-on experience with cutting-edge technologies to tailored professional development programs. Our culture fosters collaboration, innovation, and a commitment to excellence, ensuring that every team member feels valued and inspired to reach their full potential. Discover your future with us and be part of a team that makes a difference! As an eDiscovery Senior in our Forensic Technology & Discovery Services team, you will work on a variety of client engagements with colleagues across the team collecting, processing, analysing, and producing large volumes of data from multiple sources. Alongside colleagues, you will use industry standard forensic tools along with innovative internally developed software and analytics packages. Overview of our practice: Within our global Forensics practice, we have a Forensic Technology & Discovery Services team (FTDS) that is a data-focused unit helping support our clients when dealing with the complex issues of fraud, regulatory compliance, and business disputes. Our FTDS team has a speciality eDiscovery team that operates across the full data investigation lifecycle (identification, preservation, collection, processing, analysis, review, production, reporting, and data disposition). Our engagements typically require working with international teams on large, and often disparate, volumes of electronically stored structured and unstructured data, and the application of advanced analytics techniques. We work with clients across a range of sectors, and specialising in financial services (retail banking, corporate banking, investment banking and insurance), supporting investigations, disputes, and proactive risk detection. We often work in multi-party teams collaborating with our clients, their legal counsel, and other specialists, using our expertise, experience, and advanced technology to deliver data insights in time-pressured situations. We lead on traditional eDiscovery use cases, and our team also works on adjacent use cases, such as digital forensics, cyber incident response, information governance, and data privacy matters amongst other related matters. Your key responsibilities: • Take a central role in the provision of end-to-end support and services on eDiscovery engagements, performing tasks across the whole project lifecycle including identification, preservation, analysis, and productions., • Use a range of industry standard software and services to support client requirements. such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom, Magnet Verakey and SQL., • Provide direct engagement support to clients, including but not limited to user access, workstream setup, analytics, and custom object creation within various platforms., • Work closely with project management to ensure critical deadlines are met and engagement quality is at a high standard., • Use problem-solving approaches to overcome unexpected issues, both technical and operational., • Seek new ways to use existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process., • Build and maintain relationships with clients to develop and enhance their workflows creating synergy between teams., • Support the training and development of junior staff on eDiscovery engagements, including overseeing their work on across all areas of the project lifecycle., • Contribute to the ongoing development of internal procedures and methodologies including the automation of processes. Skills and attributes for success: You will build your career by demonstrating a flexible working style, initiative, teaming, and the ability to learn quickly in a dynamic, and at times, highly reactive environment, focusing on the production of high-quality outputs and supporting the delivery on client requirements to often tight deadlines. To qualify for the role you must have: • Professional experience in eDiscovery, digital forensics, cyber incident response, information governance, and/or data privacy, or an educational background in a related field (e.g., computer science, computer forensics, software engineering, project management, law, etc.)., • Proven experience with industry-standard forensic applications and tools such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom and Magnet Verakey., • Experience with databases, particularly SQL programming and design of relational databases., • Exposure to programming, e.g., industry experience or a significant implementation project at university., • Strong independent analytical and problem-solving skills as well as strong teamwork skills., • High risk awareness and ability to identify and reduce risk in a fast-paced environment., • Ability to communicate technical concepts to nontechnical persons., • Ability to produce high-quality deliverables., • Excellent verbal and written communication skills in English, and any additional language is considered a plus., • Adaptable and able to build strong relationships with colleagues and clients. Ideally, you’ll also have: • Data processing experience in Nuix, Relativity, and Reveal or equivalent industry standard tools., • Experience in using Reveal and/or Relativity, either as user or administrator., • Exposure to technology infrastructure including server and cloud-based solutions, particularly Microsoft 365 and Microsoft Purview., • Exposure to digital forensic tools and analytic techniques., • Experience working with modern data types such a chat, collaboration, audio, and video., • Experience working with technology to enable and enhance investigation processes., • Exposure to archiving, logging, and digital vault systems, e.g., Mimecast., • Data visualisation experience, for example PowerBI., • Scripting language experience, particularly SQL and Python., • Exposure to Object Oriented programming, particularly C#, C++ or Java. What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn _. Are you ready to shape your future with confidence? Apply today. To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

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.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. Senior Manager – Databricks AI & Data Client Solutions Lead Location: London, UK (Hybrid) Level: Senior Manager Practice: AI & Data We are looking for an outstanding Senior Manager – Databricks AI & Data Client Solution Lead to help scale our Databricks-led AI and Data business. This role is for someone who can be deployed directly with clients to identify business challenges, shape Databricks-based solutions and lead teams to deliver production-grade data, analytics, AI and GenAI capabilities. This is a leadership role at the intersection of consulting, technology, innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery. As a key leader within our AI & Data Practice, you will work closely with Databricks, client executives, and sector teams to develop market-leading propositions, shape strategic opportunities, build high-performing teams, and deliver transformative data and AI programs powered by Databricks. The opportunity Clients increasingly need to modernise fragmented data estates, industrialise AI, build trusted data products and operationalise GenAI at scale. As a Senior Manager, you will help clients use Databricks to: • Build modern lakehouse architectures ready for AI, • Industrialise data engineering and ML pipelines., • Build governed data products., • Deliver AI solutions that improve decision-making across business workflows. This is a role for someone who can work from boardroom to engineering squad — shaping the business case, designing the solution and leading delivery Key Responsibilities Client Advisory & Solution Shaping • Engage with senior business and technology stakeholders to identify business problems and value pools, translate business needs into Databricks-led solution designs, build prototypes and proof points., • Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities. Team Leadership & Delivery • Build, lead, upskill and mentor a high-performing team of Databricks engineers, and consultants., • Land into a client environment, decode the business pain, build a prototype or solution narrative, align stakeholders, create a commercial case, and then mobilise delivery with a team of Databricks trained experts, • Ensure successful delivery of complex Databricks led transformations, including: Data Platform Modernisation, Data Products, AI solutions, Data Governance and Operating Models, • Provide oversight for solution governance, architecture reviews, and key design decisions. Alliance Leadership • Work closely with Databricks alliance leadership to identify and execute joint go-to-market opportunities., • Collaborate on co-selling opportunities, innovation workshops, industry campaigns, and executive events., • Act as an ambassador for the firm's AI & Data capabilities across the Databricks ecosystem. Sales & Growth • Work closely with account leaders, sector leaders, and other practice leaders to develop a strong Databricks opportunity pipeline., • Develop differentiated propositions that combine deep industry expertise with Databricks technology capabilities and contribute directly to revenue growth and sales targets across AI & Data services. What Success Looks Like The successful candidate will: • Become a recognised Databricks AI and Data leader internally and externally., • Shape and close strategic Databricks-led opportunities and create a sustainable and growing pipeline of transformation programmes that contribute significantly to AI & Data practice growth., • Establish a leading Databricks capability recognised for technical excellence and innovation., • Translate business challenges into practical, scalable Databricks-powered solutions., • Increase joint pipeline, co-sell activity, and strategic engagement with Databricks. Skills & Experience Essential • Extensive experience in consulting, technology advisory, or data transformation roles, • Advanced level certifications in Databricks Partner Champion certifications, • Deep expertise across the Databricks ecosystem - Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities, Genie etc, • Proven track record of shaping and delivering large-scale data and technology transformation programmes., • Experience leading multidisciplinary teams of architects, engineers, consultants, and delivery professionals., • Strong stakeholder management and executive communication skills., • Commercial mindset with experience supporting sales, pipeline development, and revenue growth., • Demonstrated ability to coach, mentor, and develop high-performing teams. Desirable • Experience working directly with Databricks account teams and alliance organisations., • Experience in industry-led digital transformation programmes., • Knowledge of Responsible AI, AI governance, and enterprise adoption frameworks, • Commercially astute and growth oriented mindset. If you are passionate about building teams, shaping transformative client solutions, and creating market-leading AI capabilities powered by Databricks, we would love to hear from you. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity: In Assurance at EY, we empower you to thrive in a dynamic and inclusive environment. As a key player in our assurance practice, you'll engage with diverse clients, providing critical insights that drive their success. We offer a wealth of career opportunities, from hands-on experience with cutting-edge technologies to tailored professional development programs. Our culture fosters collaboration, innovation, and a commitment to excellence, ensuring that every team member feels valued and inspired to reach their full potential. Discover your future with us and be part of a team that makes a difference! As an eDiscovery Senior in our Forensic Technology & Discovery Services team, you will work on a variety of client engagements with colleagues across the team collecting, processing, analysing, and producing large volumes of data from multiple sources. Alongside colleagues, you will use industry standard forensic tools along with innovative internally developed software and analytics packages. Overview of our practice: Within our global Forensics practice, we have a Forensic Technology & Discovery Services team (FTDS) that is a data-focused unit helping support our clients when dealing with the complex issues of fraud, regulatory compliance, and business disputes. Our FTDS team has a speciality eDiscovery team that operates across the full data investigation lifecycle (identification, preservation, collection, processing, analysis, review, production, reporting, and data disposition). Our engagements typically require working with international teams on large, and often disparate, volumes of electronically stored structured and unstructured data, and the application of advanced analytics techniques. We work with clients across a range of sectors, and specialising in financial services (retail banking, corporate banking, investment banking and insurance), supporting investigations, disputes, and proactive risk detection. We often work in multi-party teams collaborating with our clients, their legal counsel, and other specialists, using our expertise, experience, and advanced technology to deliver data insights in time-pressured situations. We lead on traditional eDiscovery use cases, and our team also works on adjacent use cases, such as digital forensics, cyber incident response, information governance, and data privacy matters amongst other related matters. Your key responsibilities: • Take a central role in the provision of end-to-end support and services on eDiscovery engagements, performing tasks across the whole project lifecycle including identification, preservation, analysis, and productions., • Use a range of industry standard software and services to support client requirements. such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom, Magnet Verakey and SQL., • Provide direct engagement support to clients, including but not limited to user access, workstream setup, analytics, and custom object creation within various platforms., • Work closely with project management to ensure critical deadlines are met and engagement quality is at a high standard., • Use problem-solving approaches to overcome unexpected issues, both technical and operational., • Seek new ways to use existing and emerging technologies to solve client problems, e.g., our teams advise, build, and use artificial intelligence (AI) and machine learning (ML) to assist our clients, and we are now using generative AI (GenAI) as well to reshape the data investigation process., • Build and maintain relationships with clients to develop and enhance their workflows creating synergy between teams., • Support the training and development of junior staff on eDiscovery engagements, including overseeing their work on across all areas of the project lifecycle., • Contribute to the ongoing development of internal procedures and methodologies including the automation of processes. Skills and attributes for success: You will build your career by demonstrating a flexible working style, initiative, teaming, and the ability to learn quickly in a dynamic, and at times, highly reactive environment, focusing on the production of high-quality outputs and supporting the delivery on client requirements to often tight deadlines. To qualify for the role you must have: • Professional experience in eDiscovery, digital forensics, cyber incident response, information governance, and/or data privacy, or an educational background in a related field (e.g., computer science, computer forensics, software engineering, project management, law, etc.)., • Proven experience with industry-standard forensic applications and tools such as EnCase, FTK, Nuix, Relativity, Reveal, Cellebrite, Magnet Axiom and Magnet Verakey., • Experience with databases, particularly SQL programming and design of relational databases., • Exposure to programming, e.g., industry experience or a significant implementation project at university., • Strong independent analytical and problem-solving skills as well as strong teamwork skills., • High risk awareness and ability to identify and reduce risk in a fast-paced environment., • Ability to communicate technical concepts to nontechnical persons., • Ability to produce high-quality deliverables., • Excellent verbal and written communication skills in English, and any additional language is considered a plus., • Adaptable and able to build strong relationships with colleagues and clients. Ideally, you’ll also have: • Data processing experience in Nuix, Relativity, and Reveal or equivalent industry standard tools., • Experience in using Reveal and/or Relativity, either as user or administrator., • Exposure to technology infrastructure including server and cloud-based solutions, particularly Microsoft 365 and Microsoft Purview., • Exposure to digital forensic tools and analytic techniques., • Experience working with modern data types such a chat, collaboration, audio, and video., • Experience working with technology to enable and enhance investigation processes., • Exposure to archiving, logging, and digital vault systems, e.g., Mimecast., • Data visualisation experience, for example PowerBI., • Scripting language experience, particularly SQL and Python., • Exposure to Object Oriented programming, particularly C#, C++ or Java. What we offer you At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn _. Are you ready to shape your future with confidence? Apply today. To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Job Title: Senior Tax Analyst (Technology) Location: Frimley; Surrey or Preston; Lancashire. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role. Salary: Circa £60,000 + bonus scheme Who we are: Join BAE Systems and you’ll be part of something bigger. As a valued member of our global colleague network, you’ll bring your unique skills and perspectives to help pioneer progress and protect what matters most. You’ll be trusted to play your part in delivering the advanced, technology-led defence, aerospace and security solutions of tomorrow, shaping a safer future, for all of us. From the depths of the ocean, to the far reaches of space, there’s no limit to where a career at BAE Systems could take you. Job Description: This is a great opportunity for a Senior Tax Analyst with a keen interest in technology to play a key role within Group Tax. You will support a range of tax operational activities, using automation and innovative tools to enhance efficiency and ensure compliance across taxes, primarily focussing on corporate taxes, but with opportunities to be involved in other areas such as VAT and employment taxes. Working closely with internal Finance and Shared Services teams, as well as external providers, you will help deliver high-quality, fully analysed tax data, while contributing to continuous improvement initiatives and broader tax projects within a collaborative and forward-thinking environment. Core duties: • Drive continuous improvement across tax operations, with a focus on automation and technology adoption, • Support day-to-day tax operational activities across a range of taxes, primarily focussing on corporate taxes, but with opportunities to be involved in other areas such as , VAT and employment taxes, • Use technology, including robotic process automation, machine learning and dashboard tools, to ensure compliance, enhance efficiency and improve processes, • Partner with our shared services and finance teams, and outsourced filing provider to ensure compliance filing deadlines are monitored and met., • Support wider tax compliance and advisory activities, including UK and international Corporate Tax, RDEC, capital allowances, Pillar Two, transfer pricing, employment tax and VAT, • Operate within and ensure compliance with tax governance requirements, • Actively manage CPD, ensuring a good breadth of technical and power skills, • Ad hoc advisory and Group Tax projects Essential Skills: • ATT qualified (or equivalent) as a minimum; CTA qualification desirable, • Experience working within an in-house tax team or a professional tax services firm, with Big 4experience advantageous, • Proven experience using tax technology and data tools to improve processes and efficiency, tools such as Alteryx, Power BI or Tableau are preferred The Tax Team: You’ll be joining a collaborative and forward-thinking Group Tax team that plays a key role within the wider Finance function. The team works closely with Finance Operations, Shared Services and external providers to deliver high-quality tax compliance and reporting, while also driving continuous improvement across processes and technology. With a focus on innovation and development, the team offers exposure to a broad range of tax areas and opportunities to get involved in projects that support both operational excellence and strategic tax initiatives. Why BAE Systems? Here you’ll build a career with purpose and limitless possibilities. With lifelong learning and meaningful work, this is a place where you can grow your career with confidence and be empowered to be your best. You’ll be recognised for your contribution and enjoy rewards tailored to what’s most important to you and your family, support for your financial and personal wellbeing, as well as a balanced lifestyle. In an environment embracing sustainable ways of working and with a strong sense of shared purpose, our supportive culture is a place you can feel you belong and proud of the difference you make. A place where everyone can thrive: We’re committed to building an inclusive workplace where everyone feels valued and supported. We know that a diversity of backgrounds, perspectives and experiences strengthens our teams and is vital to the work we do. Please be aware that many roles at BAE Systems are subject to both security and export control restrictions. These restrictions mean that factors such as your nationality, any nationalities you may have previously held, and your place of birth can restrict the roles you are eligible to perform within the organisation. All applicants must as a minimum achieve Baseline Personnel Security Standard. Many roles also require higher levels of National Security Vetting where applicants must typically have 5 to 10 years of continuous residency in the UK depending on the vetting level required for the role, to allow for meaningful security vetting checks. Closing Date: 18th September 2026 We reserve the right to close this vacancy early if we receive sufficient applications for the role. Therefore, if you are interested, please submit your application as early as possible. #LI-SS1 #LI-Hybrid

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.

Aquent is partnering with a leading global technology company that is revolutionising how individuals and businesses manage their financial lives. This innovative organisation is deeply committed to customer success, leveraging data-driven strategies to enhance experiences and drive operational excellence across diverse international markets. They are at the forefront of integrating AI into their core workflows, transforming how they generate insights and automate processes. Are you ready to make a significant impact on customer journeys and operational efficiency across global markets? We are seeking a highly motivated and forward-thinking Data Analyst to join a dynamic team dedicated to building cutting-edge data capabilities. In this pivotal role, you won’t just analyse data; you’ll be instrumental in shaping strategy, enabling actionable insights, and establishing robust, AI-ready data foundations that scale across multiple regions. You will be at the heart of improving how this company measures and delivers customer success, directly influencing Customer Experience, Digital Experience, Service Delivery, and Supportability, all while working with groundbreaking AI-native analytics. This is a 10-month hybrid contract, offering up to £217.09 per day (PAYE). Shortlisted candidates will be contacted by COB Monday, 7th September. Due to the number of applications, we’re unable to get back to each candidate individually. Key Responsibilities • Build robust data foundations by collaborating with engineering to develop pipelines, enhance data integrity, and establish clear metric definitions and governance tailored for international markets., • Develop data capabilities that function consistently across multiple regions and countries, while adapting to specific local requirements (e.g., regulatory, language, or workflow differences)., • Automate recurring reporting and validation processes to boost accuracy and efficiency, ensuring data structures and taxonomies are optimized for downstream AI consumption and model-readiness., • Create and maintain scalable, user-friendly dashboards that provide comprehensive visibility into key performance metrics, designing reporting that connects metrics across the entire customer journey rather than in isolated silos., • Deliver deep-dive analytics by conducting root cause analysis to uncover drivers of customer pain points, digital adoption challenges, and operational inefficiencies., • Translate analytical findings into actionable recommendations that improve customer journeys, optimise staffing and routing decisions, and reduce escalations., • Advance AI-native analytics by leveraging Generative AI tools to automate recurring insight generation, support AI-powered summarisation and anomaly detection, and identify opportunities to replace manual workflows with intelligent automation., • Enable experimentation and continuous improvement by supporting A/B testing and digital experience evaluations, analysing performance outcomes, and quantifying customer and business impact., • Provide baseline metrics, monitor results, and deliver insights to scale successful initiatives, including evaluating the performance and customer impact of AI-assisted and digital experiences., • Influence strategy through compelling storytelling, communicating insights and trends clearly and persuasively to both technical and non-technical stakeholders to ensure alignment on decisions that enhance customer experience, digital adoption, operational performance, and supportability. Required Skills & Experience • Solid experience in Data Analytics or Data Science, with ideal exposure to Customer Success, Operations, or Digital Experience domains., • Proficiency in SQL for data extraction, transformation, and pipeline development., • Experience with dashboarding and visualisation tools (e.g., Tableau, Qlik, or similar)., • Familiarity with big data tools (e.g., Snowflake, Databricks, Spark) and ETL processes., • Proven ability to communicate analytical findings in clear, actionable narratives for both technical and non-technical audiences., • Strong problem-solving skills with the ability to balance strategic priorities and tactical execution., • Ability to manage multiple projects simultaneously in a fast-paced environment., • Proactive and growth-oriented mindset, consistently identifying opportunities for innovation. Nice-to-Have Skills • Experience with Python or R for advanced analytics, automation, or experimentation support., • Knowledge of statistical methods and experimentation (e.g., A/B testing)., • Machine learning and Generative AI experience., • A genuine enthusiasm for Generative AI and a growth mindset toward how emerging tools can accelerate analytical work, actively curious about how LLMs, AI-native workflows, and intelligent automation can enhance impact., • Hands-on experience applying Generative AI to analytics workflows (e.g., automated insight generation, AI-assisted analysis, or LLM-enhanced data pipelines)., • Experience working with call centre and/or digital support KPIs., • BS or MS in an appropriate quantitative field. Client Description Our Client is a global technology platform that specialises in overcoming the world’s most important financial challenges. Their products and services are driven by artificial intelligence, and their accounting software is one of their most recognisable creations. Considered one of the top companies to work for, they are proud of their company culture and entrepreneurial spirit. Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence. #LI-PW1 #LI-hybrid Other Requirements This is a 10-month hybrid contract, offering up to £217.09 per day (PAYE). Shortlisted candidates will be contacted by COB Monday, 7th September. Due to the number of applications, we’re unable to get back to each candidate individually. #LI-Hybrid

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

Java Developers MUST have:Computer Science or Machine learning BSc or Masters or PhD from a top 40 University GloballySome commercial Java Development experience; we would consider C++ but core coding is JavaCore JavaSQLGood understanding of general programming concepts, diligent coder. My client is

About FaireFaire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town — we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.About this roleFaire is a wholesale marketplace built on the belief that the future is local. Independent retailers are the backbone of local communities, and we exist to level the playing field for them against e-commerce giants and big-box retail. This is the team that brings them in.As an Account Executive on Faire's European retailer sales team, you will own the acquisition of independent retailers across the United Kingdom and Ireland. This is a high-velocity closing role with real ownership from day one. You will build your own pipeline, run your own deals, and be accountable to your own number.This role is for closers. We want people who are competitive by nature and energised by the chase.You're excited about this opportunity because...You want real ownership early in your career; this is not a supporting roleYou are motivated by a leaderboard and want to be at the top of itYou want to sell something that matters; independent retail is a cause worth getting behind and you can articulate whyYou want to be part of a team that genuinely supports each other; one that shares wins loudly, works through losses together, and raises the standard collectivelyWhat you'll doOwn your pipeline end to end: identify, qualify, outreach, and close retailers through calls, emails, and video meetingsUse business data, category insights, and AI-powered tooling to build a pipeline that is high quality and conversion-focusedLead every customer interaction with a personalised, insight-led approach; understand each retailer's business well enough to land the right pitch in as few touches as possibleWork objections with precision; know when to push, when to reframe, and how to get a deal across the lineMap complex opportunities across multiple decision-makers and buying signals; not every win is a one-call closeArticulate retailer challenges back to the business with clarity; be the credible voice of your customer in internal conversationsWhat we're looking forProven sales track record: 1 to 3 years in a closing role with a consistent history of meeting or exceeding quotaHunter and closer: you are energised by outbound, you build high-quality pipelines, and you know how to read an objection, handle it, and drive a deal across the line without losing momentumAccountable: you set your own sub-goals, own your number, and know your metrics without being managed to themStrong communicator: sharp and credible in verbal and written form; as effective in an internal debrief as you are in a customer pitchResilient and fast: you move quickly, recover quickly, and bring consistent energy to a role that runs at paceCoachable and self-aware: you take feedback well, spot patterns in your own performance, and actively seek ways to improveSalary RangeLondon, UK: the OTE pay range for this role is 72,000 to 99,000 per year. This role will also be eligible for equity and benefits. Actual On-Target Earnings (OTE) will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The OTE range provided is subject to change and may be modified in the future.Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Why you’ll love working at FaireMove fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (PrivacyFor information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

Are you a Principal Product Manager with ML and LLM knowledge? Consortia has partnered with a London-based FinTech seeking an experienced Principal Product Manager to join a cross-functional squad focusing on ML and LLM features that harness the power of data science and machine learning technologies.Job Title: Principal Product Manager Location: London, 1 - 2 days in the office p/w.Salary: 90,000 - 115,000 + stock optionsWhat you can expect in your new role:You have expertise in B2C products that harness the power of data science and machine learning technologies.You guide and keep the squad motivated and focused on the key priorities. Guide the strategy and decision-making alongside your squad.You must be willing to take full ownership of challenges end-to-end and acquire any necessary knowledge to complete the task.The Principal Product Manager will need these skills: Adaptable, and have expertise moving projects through the entire product lifecycle.You can navigate obstacles while staying committed to achieving long-term goals.You can clearly articulate the product vision and its outcomes.You have proven experience managing machine learning products for consumers.You have a genuine passion for generative AI and related technologies and know how to apply creative solutions to ensure a positive outcome for its users.Bonus points if:You have a technical background working in the field of AI, Data Science or Machine Learning.Consortia operates as a specialist recruitment agency, with consultants focused on global roles within UX, Product, Data, and Engineering markets. If the "Principal Product Manager” role doesn't align with your preferences, but you are open to exploring other opportunities, feel free to connect with us for a discussion.Kindly be aware that due to the high volume of applications, we may not be able to respond to each applicant individually. However, we will keep your details for future reference when a more suitable opportunity becomes available.

A growing AI company is looking for a technically strong Research Scientist or Engineer to join early and help build systems that get smarter about the people using them, learning from how someone interacts with the product and using that to shape the experience they get. The team blends machine learning, applied research, and product-facing engineering, and is led by a founder with a solid research background. You'd be joining at a formative stage, with real input into how the product's core technology takes shape. The work involves Building out ways to measure whether the system is responding appropriately given what it knows about a given user Turning real usage and feedback into structured signals the model can learn from Running training experiments aimed at improving response quality based on human feedback Digging into cases where the system gets it wrong — misreads a user, holds onto outdated info, or responds inconsistently Weighing in on technical decisions as the product architecture comes together Ideal background A few years of hands-on experience shipping ML or AI-driven products Exposure to model fine-tuning, evaluation work, or working with human feedback data Comfortable in Python, with practical experience in common deep learning tooling Self-starter who's happy figuring things out without a lot of structure Competitive salary + equity. Please feel free to reach out to Charles Duran

Full TimeOn-siteLondon, UKPosted 8 hours ago60,000 - 110,000 GBP / Year Lead Generation Specialist job in London | 60k – 110kHexwired has partnered with a company who are an AI Start up and are already excelling in their field. They are looking for a Lead Generation Specialist based in London who will help to build a product that customers trust within a company built on AI.The main responsibilities for the Lead Generation Specialist in London are to grow the customer base in the company for product sales. You will own the growth function and build the rest of the team behind you.RequirementsProven track record building demand from near-zero in a vertical or SMB B2B market, with clear, measurable contributions.Comfortable selling a new, non-technical buyers.Fast-moving, lean operator who takes initiative to solve problems as they arise.Hands-on with AI/LLMs in your own workThe salary for this Lead Generation Specialist role will be 60,000 – 110,000. The company is rapidly expanding and are at the forefront of their industry. They are looking to pay circa up to 110k along with an excellent benefits package. If you’re interested in this Lead Generation Specialist job in London, please apply.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today.Tagged as: Operations, Sales

Full TimeOn-siteLondon, UKPosted 1 week agoDOE GBP / Year FPGA Engineer job in London – DOEHexwired is recruiting for a world leading networking company based in London, now seeking an FPGA engineer to join their world class team working on high speed network interfaces to deliver production-grade solutions.The company are expanding due to the requirements of their customers and is seeking a FPGA engineer, ideally with in depth experience in FPGA design for CPU and GPU interfacing.Key skills:Experience with clock domain crossing techniquesExperienced in most of the following: UALink, NVLink, PCIe, RDMA, CXLExperience with high performance FPGA devices such as Xilinx Versal Premium or Intel Agilex 7Embedded systems experience, including soft processors and system-on-chip programming.Hands on experience in FPGA design for GPU/ CPU interfacing and networking.Experience with FPGA tool flows.The salary depends on experience, and the company also offer a comprehensive benefits package. If you’re interested in this FPGA 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, Electronics Design, FPGA

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 liftingWe're looking for an influential Staff AI Engineer to join our small AI Engineering team at Lendable to help us enable developers to move faster whilst keeping quality high.Our mission is to bring all the lessons we have learned about AI development so far into one system so everyone can benefit. The system combines our Lendable Coding Agent, for measuring effectiveness of AI and the stability of our systems.This is a role where you'll be working with our engineers and product managers who build our products. You will improve the developer experience and improve our throughput. You’ll see instant impact with your work and participate in a highly collaborative environment.We need someone who takes full ownership - not just writing code, but thinking through the problem, designing the solution, shipping it, and making sure it keeps working. You'll own your work from "what should we build?" through to "is it still delivering value?"You'll also be working at the frontier of AI tooling - building with LLMs, experimenting with new approaches, and figuring out what's possible.What you'll be doingBuild on top of our AI cloud coding agentBuild the core of our AI harnessEnable capabilities in these agents for specification, testing, and service reliabilityWork with security and data governance requirements to ensure the agents are secure and have access to the appropriate dataEnable others to build with AIEncourage teams to level up their AI Software development processesEnable teams to build AI actors that plug into the SDLCHelp teams measure the impact AI is having on the development processTransplant good ideas and processes from one team to other teams in the organizationWhat we're looking forEssential6+ years of software engineering experience in a mid-to-large-size organisationExperience of building AI tooling to improve developer experience (devex)The ability to influence how people work across multiple teamsProven experience building AI tooling used by others in a commercial environmentStrong full-stack skills in TypeScriptFrontend skills with Next.js or React to build an interface for engineersStrong AI knowledge — LLMs, embeddings, MCPs, RAG, evals, agentic platformsExperience of building infrastructure to support your systems in production using IaC, k8s or lambda functionsSelf-starter who takes ownership end-to-end — from understanding the problem, through design and implementation, to monitoring and iterationMotivated by impact — you want to see your work used and know it's making a differenceNice to haveExperience with Cloudflare infrastructureExperience with monitoring tools such as Datadog, Sentry, GrafanaExperience with creating guardrails for products: SLOs, DORA metricsHow you'll workYou’ll be part of a small core team that works with engineering representatives from across the company. We have a vision of how we can accelerate the engineering process with AI, and you’ll be working with this group to complete the plan. We will also experiment and adapt the plan as new AI tooling and approaches emerge.We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it's used, and improve. You won't be directly client-facing, but your work will directly impact colleagues across the business — and you'll hear about it when something you built makes their day easier.Why join?See your work make a difference This isn't a team where your code disappears into a monolith. You'll build something, ship it and get instant feedback from developers. Every integration and tool you ship has a direct line to engineering efficiency.High leverage A small core team means your contributions have outsized impact. No layers, fast decisions, real ownership.Build new things We're building a platform from the ground up, not maintaining legacy systems. You'll shape how AI gets used across Lendable.Work at the frontier AI tooling is moving fast. You'll work with the latest in agentic AI, workflow orchestration and LLM tooling — applied to real problems, not just proof-of-concepts.Interview processScreening call with Hiring ManagerTake-home taskTechnical interview based on the taskInterview with Engineering ManagerFinal interview with Hiring ManagerLife 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 TypeRemoteDepartmentEngineering & Product

Description Principal Biostatistician/ Sr Biostatistician (R/Rshiny - EMEA BASED)Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape. Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need. Discover what your 25,000 future colleagues already know: Why Syneos Health• We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.• We are committed to building an inclusive culture – where you can authentically be yourself. Central to this is our purpose – Driven to Deliver – which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone’s life. • We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress. Job ResponsibilitiesIndustry experience as a Biostatistician using R is required. Rshiny would be advantageRole SummaryThe Principal Biostatistician – will leverage interactive R applications to explore, analyze, and communicate insights from clinical trial data. This role combines clinical trial expertise, statistical thinking, and modern R programming to support exploratory analyses, facilitate scientific discussions, and generate actional insights for study teams.The successful candidate will work closely with statisticians, clinicians, and R application developers to identify meaningful analytical questions, prepare clinical datasets, generate interactive visualizations, and drive improvements to the DIG analytical platform.Key Responsibilities- Perform exploratory analyses of clinical trial data using interactive R/Shiny applications.- Prepare, integrate, and quality-check clinical datasets for downstream exploratory analyses.- Identify trends, safety signals, efficacy patterns, subgroup differences, and data quality issues through interactive visualization.- Lead data review sessions and exploratory analysis meetings using interactive visualizations to communicate findings and facilitate scientific discussions.- Translate complex statistical results into clear visual narratives that support clinical decision making.- Collaborate with clinicians, statisticians, programmers, and R application developers to define analytical requirements and prioritize new application features.- Develop reproducible analytical workflows and reports using modern R tools.- Contribute enhancements, bug reports, and feature requests to continuously improve the application ecosystem.- Train and support users of internally developed analytical applications.- Stay current with emerging analytical methodologies and visualization techniques within the R ecosystem.Minimum Qualifications- Previous experience using R for statistical analysis and data visualization, including experience with Shiny applications.- MS or PhD in Biostatistics, Statistics, Mathematics, Data Science, or a related quantitative discipline, with experience supporting clinical development within the pharmaceutical, biotechnology, or CRO industry.- Strong understanding of clinical trial design, statistical methodology, and clinical data standards.- Excellent communication and presentation skills, with the ability to explain complex statistical concepts to multidisciplinary audiences.- Strong collaboration and stakeholder management skills.- Ability to thrive in a Dynamic Shared Ownership (DSO) environment.- Fluency in English- Based in EuropeTechnical SkillsClinical Data & Statistics- Strong understanding of SDTM and ADaM datasets.- Experience conducting exploratory analyses of efficacy and safety data.- Knowledge of statistical methodology used throughout clinical development.- Experience interpreting and communicating statistical findings.R ProgrammingDemonstrated experience with:- Advanced R programming- Data manipulation and transformation- Reproducible analytical workflows- Experience with packages such as: shiny, plotly, ggplot2, dplyr, tidyr, purr, gt, gtsummary, reactableData VisualizationExperience creating and presenting interactive visualizations using shiny, plotly, ggplot2, and/or other visualization packages.Ability to effectively communicate clinical findings through interactive graphics and dashboardsReproducible AnalysisExperience with:- Quarto or RMarkdown- Git and GitHub- Reproducible reporting- Quality control of analytical datasets- Collaborative analytical workflowsPreferred QualificationsExperience with one or more of:- Posit Connect- R package development- SQL- Arrow or DuckDB- AI-assisted analytical workflows- Machine learning methods for exploratory analyses- Clinical dashboards and interactive reporting- User training and scientific presentations- Familiarity with software development workflows and contributing feature requests to application development teamsGet to know Syneos HealthOver the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.No matter what your role is, you’ll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.Additional InformationTasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.Summary Principal Biostatistician - RShiny Specific: Sets up and maintains excellent R-based computing environment. Adds missing features to apps and fixes bugs in existing apps. screens the market for supplied data visualization tools and integrates internal/external apps into our working environment. Organizes and performs user trainings and is available for user support on demand. Is up to date with the latest technical possibilities available on the global market. Excellent R and R-shiny knowledge thorough experience in clinical data structures and programming with data expert in functional and object-oriented programming. Knowledgeable in Javascript/Typescript, HTML, WebGL, experience in CUDA/GPU-programing, cloud-computing, Github, web-hosting. Strong communication skills and ability to work both, independently and collaboratively, clear in the presentation of complex issues.

Startup Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with startups of different stages. Supporting the overall technical relationship between customers and AWS, they work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. Solutions Architects also have broader impact at scale, taking a supporting role in creating and presenting technical content and best practices.In this role you will get to practice your creativity, linking technology to tangible solutions and educating AWS customers about the art of the possible. You will have the opportunity to produce cloud-native reference architectures for a variety of use cases. You will have the support to grow your expertise in industry and technology areas of depth. Every day you will be learning something new from your customers, your peers and your own experiments.You will be part of a team that is responsible for driving adoption of AWS technologies while bringing differentiated value to customers. This is a team dedicated to Startups, an important and growing subset of customers for AWS. Startups follow unique technology adoption patterns and growth trajectories that distinguish them from traditional businesses, so you will be employing engagement strategies and programs tailored to their business needs and technical preferences.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.Key job responsibilities• As a Solutions Architect, you will work directly with customers to accelerate their projects and recommend best-practice architectures in line with their long-term business outcomes.• You operate as a trusted advisor for startups. The best interests of the customer will shape the guidance you provide. You work backwards from their priorities and find inventive ways to add value with solutions utilizing AWS and its Partners’ technology.• You capture and share the voice of the customer to influence the roadmap of new features and services for AWS. You use your customer understanding to participate the creation or updates of technical content and reference architectures (e.g. white papers, code samples, blog posts).• Evangelize and educate about AWS technology (e.g. workshops, user groups, meetups, public speaking, online videos or conferences).To be successful in this role you need to be passionate about startups and cloud architectures. You are a builder with genuine curiosity about how technology can support your customers’ business models and objectives. You are a lifetime learner that develops areas of depth in technical domains relevant to your interests and your customer's outcomes. You are prepared to work in a fast-paced environment, where you will be positively challenged and consistently embrace the Amazon Culture. A day in the lifeThe Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you’ll craft highly-scalable, flexible, and resilient cloud architectures that address our customers’ business problems. As part of our team, you’ll have the opportunity to continuously learn and innovate daily. About the teamThe AWS Startup Solutions Architecture team is dedicated to working with startup companies as they build and scale their businesses. We’re here to make sure that they can deploy the best, most scalable, and most secure architectures possible – and that they spend as little time and money as possible doing so. We are a group of technologists with varied backgrounds; from fresh graduates to ex-CTOs, all growing our skills and startup expertise, while working on cutting edge technology use-cases with some of the world’s most innovative companies.About AWS:Diverse 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 within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).- Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in technical engineering- Speak, write, and read fluently in English- Background in any of the following: Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps- A passion for technology and for learningPreferred qualification - Experience in customer-facing roles- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification- Experience designing, building, refactoring or operating large scale and impactful IT systems - either on premises or in the cloud- Knowledge of a modern programming language (Python, JavaScript, Go, .Net, Java, etc.) and/or scripting, Infrastructure as Code etc.- In-depth working knowledge in a technology domain such as distributed internet-scale web or mobile applications, DevOps, Serverless, Big Data, Analytics, Machine Learning, enterprise workloads (SAP, VMware, Windows etc.), high-performance databases (SQL and/or NoSQL), complex networking implementations, highly secured workloads etc.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.

Company DescriptionWe’reCheckout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started.The roleThis role sits in our Payment Performance team - Payment performance means that we work to make payments have a higher probability of succeeding when they come through us -- thus ensuring higher revenues to all of our merchants. We do this by combining ML/RL and manual knowledge to make routing algorithms that modify a payment’s parameters in real-time. This makes for an exciting technical challenge: we have to combine high performance (<100ms), reliability (99.99%), and live machine learning, which requires us to be ahead of the market in terms of technology.How you’ll make an impactDrive and support our software and infrastructure engineers working on proprietary algorithmsUphold high standards for our uptime and latency requirements while not sacrificing veracity of API responsesWork with data scientists to make modifications to the platform and algorithms in order to achieve even better resultsAssist in hiring and developing like-minded engineers on the teamParticipate towards maintaining the team’s cohesion and healthinessHandle our incident response and post-incident investigation processes; participate in on-call rotationsMake difficult choices in planning for the long term vision of our infrastructure and its quality while not overengineering.Maintain high quality standards and best practices for code, infrastructure and documentationSupport the creation and maintenance of technical documentationContribute to designing, developing, and delivering new features for our productsWhat we’re looking forExpert level experience with GolangEnthusiastic about delivery and experience working in a fast-paced environmentAbility to adapt to new technologies quickly and understand the stakes in doing thisExperience in designing and managing large, scalable, high throughput, and highly available systemsExperience with AWS and its basic best-practice architecturesStrong understanding and appreciation for software design and architectureStrong experience with microservice-based infrastructuresSolid understanding of HTTP and GRPCDesire to work on an exciting product suite, within a fast scaling technical businessExcellent practical knowledge of commonly used patterns in GolangExperience with Continuous Integration and Deployment workflowsExcellent communication skills, ability to interact optimally with multidisciplinary teamsAdditional InformationBring all of you to workWe create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.It’s important we set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable.Life at Checkout.comWe understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.Curious about what it’s like to be part of our team? Visit ourCareers Page to learn more about our culture, open roles, and what drives us.For a closer look at daily life at Checkout.com, follow us on LinkedIn and InstagramLocationLondonEmployment TypeFull timeLocation TypeOn-siteDepartmentAll Departments

QUALIFICATIONSBachelors, Master’s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence7-8+ years of experience in software development, with significant full-stack web application development experience strongly preferred Experience working collaboratively with technical and non-technical team members and stakeholders Hands-on experience and willingness to learn across frontend (TypeScript, React, Angular, Vue, Next.js, Tailwind), backend (Python, Node.js, Java/Spring, C#/.NET), and databases (SQL, NoSQL, vector databases, ETL)Experience with LLM frameworks, prompt orchestration, agent frameworks, MCPs, evaluation frameworks, and cloud platforms (Azure, AWS, GCP), including Docker and CI/CDStrong focus on automated testing, logging, monitoring, and overall system reliabilityExperience modeling and coaching others to use engineering best practices such as design patterns, customer-centric design, test-driven development, code refactoring, code review, and OWASP Top 10 security awarenessExperience leading in Agile teams, including coaching and modeling Agile mindsets as part of sprint ceremonies, work definition and building developer capabilitiesExceptional time management to meet your responsibilities in a complex and largely autonomous work environmentStrong communication skills, both verbal and written, in English, with the ability to adjust your style to suit different perspectives and seniority levelsWHO YOU'LL WORK WITHDriving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.When you join us, you will have:Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.WHAT YOU'LL DOAs a Senior Software Engineer, you will lead architecture design, drive technology decisions, and co-create innovative products while mentoring clients to adopt Agile practices and engineering excellence. Your role offers hands-on collaboration, diverse industry exposure, and opportunities to shape solutions and grow as a technology leader. You will lead project workstreams, drive architectural decisions, and build scalable solutions using Agile methodologies. Working closely with client teams, you will co-create products, foster a culture of engineering excellence, and mentor teams in best practices. Your responsibilities will include shaping technical strategies, making key technology decisions, and ensuring the delivery of impactful, user-centric solutions. Your work will have a lasting impact beyond the products you build. By collaborating with client leadership, you will influence their digital strategies, help scale their engineering cultures, and enable them to achieve sustainable growth. Each project will expose you to diverse industries and technologies, providing opportunities to learn and grow while shaping the future of technology. You will design and deliver next-generation products that transform businesses across industries. Based in one of our global locations, you will be part of QuantumBlack AI by McKinsey, a multidisciplinary group of software engineers, AI engineers, data scientists, and technology consultant passionate about creating industry-shaping products and tools. Your role offers unparalleled opportunities for growth and innovation. At McKinsey, you’ll have a seat at the table with client leaders, the chance to shape product strategies, and the freedom to explore areas of personal interest. Supported by a collaborative and innovative team, you’ll make a lasting impact on clients, industries, and the future of technology.

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

Reference: HT2508b_1787676021We are seeking an experienced Pricing Actuary to join a highly successful and growing specialist motor insurer. This is an exciting opportunity to play a key role in shaping pricing strategy across a diverse portfolio, including private motor, telematics, commercial vehicle and taxi insurance products. Working alongside a talented team of actuaries and data scientists, you will help influence commercial decisions through advanced analytics, predictive modelling and pricing innovation. In this role, you will develop and enhance statistical and machine learning models to improve risk and profitability predictions, analyse complex datasets to identify growth opportunities, and deliver actionable insights that support business performance. You will also contribute to the ongoing development of pricing capabilities and play an important part in driving innovation across the pricing function. The ideal candidate will have a background in actuarial, statistical or data science roles and a strong understanding of general insurance pricing. You will be confident using Python for data analysis and predictive modelling, with experience of machine learning techniques and traditional pricing methodologies such as GLMs. Previous UK motor insurance pricing experience is essential, and experience building GBM models would be particularly advantageous.We are looking for someone who can clearly communicate technical concepts to a range of stakeholders and who has a track record of delivering pricing initiatives that achieve measurable business impact. A proactive, independent approach and strong problem-solving skills are key, along with a genuine enthusiasm for using data and analytics to drive better commercial outcomes. Experience with tools such as Emblem, Radar, Radar Live or Databricks would be beneficial but is not essential. This opportunity would suit an ambitious pricing professional looking to further develop their technical expertise, influence strategic decision-making and make a tangible impact within a fast-paced and growing organisation.For more information please do reach out via email at hannah.turner@eamesconsulting.comEames Consulting is acting as an Employment Agency in relation to this vacancy.

Junior Quant Research Analyst50,000 Plus BonusQuant Capital is urgently looking for a Quant Analyst to join our high profile client in their main quant research team.Our client is well-known tech-driven trading firm, they provide software to the market and also prop trade.This is an environment of google or a startup where tech is number 1. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you.You will join the quant team, designing, analysing and improving sport prediction models and high frequency trading strategies. You’ll be part of a small team, working in a relaxed environment, and using a range of modern open-source tools including Jupyter, PyTorch and Spark. You’ll have the opportunity to work with terabytes of data, and will be part of a team that can quickly run experiments at scale in the markets, allowing us to test your hypotheses in a live environment.On a day-to-day basis your responsibilities will include:Building and improving sports prediction modelsImplementing and backtesting new statistical arbitrage strategiesDeveloping and improving clients’ high frequency strategiesSupporting the trading desk with analysis of strategy performance or A/B testing data.Quant Analysts Must Ideally Have:Comp Ski, Maths, Stats or Engineering degree.Outstanding background in probability and statisticsExperience and interest in modern machine learning techniques, for example, deep learning, Bayesian methods and graphical modelsProgramming experience with python, julia or RYou will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ongoing training and a structured career path. You can also expect an excellent salary and benefits package, flex working. Including Options from day 1.My client is based in West London Flex working.Quant Research, Gauss, Hull, Options Theory, C++ Erlang, F#, Scala, Haskell, Django, Python, Twisted, noSQL, Data Science

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.Our AI Consultant roles are unique. The ideal candidate is a rare hybrid, a scientist with strong technical skills in AI and machine learning, the programming abilities to scrape, combine, and manage data from a variety of sources and a statistician who knows how to derive insights from the information within. They will combine the skills to create new prototypes with the creativity and thoroughness to ask and answer the deepest questions about the data, what secrets it holds, and to push the boundaries of what is possible with big data. What You’ll Do:Conduct in-depth analysis of data available to Equifax and its partners.Collaborate with product managers to conduct market research and validate product needs.Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML.Contribute to the creation of business cases for proposed AI solutions.Evaluate the feasibility and potential impact of AI projects.Provide technical guidance and support to junior analysts.Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning.Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutionsCollect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business usersCommunicate results to external stakeholders and mid level leadership, able to communicate business impact of workEvaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracyWhat experience you needBachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering).Solid experience in data analysis, machine learning, and AI development in a UK Credit Risk environmentHands-on experience with cloud-based AI platforms and tools.Proficiency in programming languages such as Python and SQL.Strong analytical and problem-solving skills.Good communication and presentation and visualisation skills.Strong experience in a related analytical roleProven track record of designing and developing predictive models in real-world applicationsExperience with model performance evaluation and predictive model optimisation for accuracy and efficiencyWhat could set you apartExperience with specific AI techniques, such as neural networks or natural language processing.Knowledge of the financial services industry.Contributions to open-source AI projects.Experience with data visualization tools.Passion for data science, data mining, machine learning and experience with big data architectures and methodsA Master's degree in a quantitative field (Statistics, Mathematics, Economics)The Perks of being a Equifax Employee?We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.Are you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!Primary Location:GBR-LondonGBR-Leeds-6-Wellington, GBR-NottinghamFunction:Function - Data and AnalyticsSchedule:Full timeSummaryLocation: GBR - London; GBR - West Yorkshire - Leeds; GBR - Nottinghamshire - Nottingham - TDXType: Full time

Head of Quant Trading 250,000 Plus Bonus Quant Capital is urgently looking for a Head of Quant Trading to join our high profile client in their main quant research team. Our client is well-known tech-driven trading firm. They are well known in the retail and CFD space. The firm has around 400 employees globally. This is an environment of google or a startup where tech is number 1. The firm is known globally for its attitudes and rigour more importantly, you will be surrounded by smart people deeply interested in teaching what they know, and in learning from you. I am looking for an experienced and highly-driven expert in quant trading and market making to lead and grow a team of quant researchers and software engineers. On a day-to-day basis your responsibilities will include: • Lead the implementation of large-scale market-making and cross-asset risk management systems • Guarantee end-to-end quality of trade execution for our millions of retail customers, even during extreme market events • Expand with additional asset classes and tradable instruments • Develop and optimise the firms’ trading model to identify and create relevant risk factors and construct systematic equity portfolios Quant Analysts Must Ideally Have: • PhD Comp Sci, Maths, Stats or Engineering • Quant experience of systematic trading (market making/hedging & electronic execution) • Extensive experience with market-making algorithms and automated trading systems • Deep understanding of stock market microstructure across global securities exchanges and trading venues • Experience with high trading volumes • Experience of delivering multi asset trading strategies (alpha signals, analytics, strategy simulations) • Experience in machine learning, signal research, back testing & performance optimisation • Quant modeling • Trading strategies • Programming – Python, C++, Java, complex event processing You will be joining a progressive and exciting company committed to excellence. They offer an excellent working environment with ongoing training and a structured career path. You can also expect an excellent salary and benefits package, flex working. Including Options from day 1.My client is based in the City flex workingQuant Research, Gauss, Hull, Options Theory, C++ Erlang, F#, Scala, Haskell, Django, Python, Twisted, noSQL, Data Science

Salary Range:100,240.00 - 186,160.00Job Description SummaryDirector, AI Systems Foundations & Reusable Capabilities#LI-Hybrid Location: London Novartis is unable to offer relocation support for this role: please only apply if this location is accessible for you.The Director, AI Systems Foundations & Reusable Capabilities is a senior technical AI leadership role within Data Science & AI, responsible for establishing the reusable foundations that enable Development AI systems to be built faster, more consistently, and with greater technical leverage across Novartis.The role identifies common technical patterns across AI initiatives and shapes the long-term evolution of Development's AI capability stack across agentic AI, retrieval and knowledge systems, simulation and digital twins, MLOps, LLMOps, AgentOps, and AI lifecycle management. It translates proven architectures, components, engineering practices, and design decisions into reusable AI capabilities that reduce duplication and ensure learning from one system strengthens the next.This role owns reusable AI system foundations and technical AI capability assets, not product roadmaps, business adoption, portfolio governance, infrastructure operations, or enterprise architecture. It partners closely with DSAI domain leaders, the AI Systems Reliability Director, Product teams, Strategy & Governance, and DDIT to ensure AI capabilities are reusable, interoperable, technically coherent, and continuously improved.Job DescriptionMajor AccountabilitiesAI Foundations & Reference ArchitecturesDefine reusable architectures, design patterns, and reference implementations for AI systems across Development.Establish common approaches for agentic AI, retrieval-augmented generation, knowledge systems, simulation, digital twins, and human-in-the-loop AI.Provide technical guidance on reuse, extension, and evolution of AI capabilities.Ensure AI systems are designed for modularity, interoperability, scalability, and maintainability.Reusable AI Capabilities & Engineering PracticesBuild and maintain reusable AI components, frameworks, templates, and capability assets.Define AI engineering practices and reference approaches for MLOps, LLMOps, and AgentOps.Establish standards for lifecycle management, versioning, orchestration, observability, and technical documentation.Identify recurring technical needs and convert them into reusable organizational capabilities.Capability Scaling & Technical EnablementPartner with domain leaders to identify successful patterns that can be reused across Development.Translate project-level solutions into reusable architectures, components, and implementation blueprints.Guide AI engineers and data scientists in designing systems that can be reused and extended across domains.Promote technical consistency while preserving flexibility for innovation.Capability Learning & EvolutionCapture architectural, engineering, and implementation learnings from AI initiatives and transform them into reusable assets.Build mechanisms for sharing AI patterns, reference designs, and technical best practices across DSAI.Partner with the Reliability Director to connect reusable capabilities with evaluation evidence, reliability insights, and production readiness criteria.Continuously evolve the Development AI capability base as technologies and practices mature.Key Performance Indicators· Percentage of strategic AI systems leveraging reusable AI patterns or reference architectures.· Number of reusable AI capabilities adopted across multiple domains.· Reduction in duplicate technical solutions across the portfolio.· Reduction in time required to build new AI systems through capability reuse.· Number of project learnings converted into reusable capability assets.· Technical satisfaction and adoption of reusable capabilities within DSAI.Minimum Requirement: Work Experience· 10+ years leading AI, machine learning, AI engineering, or technical architecture initiatives.· Demonstrated experience designing reusable AI architectures, platforms, frameworks, or technical capabilities.· Deep expertise in modern AI systems, including LLMs, RAG, agentic systems, orchestration, and AI lifecycle management.· Experience translating prototypes and local solutions into scalable reusable capabilities.· Experience leading senior technical teams in complex environments.· Healthcare, life sciences, or regulated industry experience preferred.Rewards At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen. The rewards of being part of our team go far beyond base pay and incentives. We also offer a variety of competitive benefits in kind to help you thrive personally and professionally, such as insurance plans, retirement plans, wellbeing resources and global recognition programs. In addition, we provide flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave. Expected Annual Base Salary Range for role: UK: 100,240.00 - 186,160.00 GBP AnnualThe salary offered is determined based on gender-neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and upon joining Novartis will be reviewed periodically. In addition to your base salary, you may be eligible for a performance-based bonus depending on certain performance parameters. Further details will be provided during the application process. Pay equity is a fundamental principle of our employment policy and reflects our commitment to create a diverse, equitable and inclusive environment that treats all employees with dignity and respect, as outlined in our Code of Ethics. Read our brochure to learn more about our global total rewards offering: Note: Benefits and compensation may vary by country and are subject to local legal requirements, including provisions of collective bargaining agreements where applicable. A full overview of your compensation package, including any relevant collective bargaining agreement details applicable to your role based on your employment location and Novartis employer entity, will be communicated separately to you during the application process. Commitment to Diversity and Inclusion / EEO paragraph: Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve. Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? Skills DesiredArtificial Intelligence (AI), Business Value Creation, Change Management, Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Mentorship, Stakeholder Engagement, Statistical Analysis, Time Series AnalysisSummaryLocation: London (The Westworks)Type: Full time

Help accelerate how teams across JPMorganChase use artificial intelligence to deliver measurable impact. In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption. You will partner with stakeholders across the Commercial & Investment Bank to create clear, engaging enablement experiences and communications. You will also help make AI tools and information easier to find and understand through a centralized inventory. If you enjoy combining learning, communications, and emerging technology, this is a high-visibility opportunity to grow your impact.As an AI Knowledge Enablement Senior Associate in the AI Enablement team within the Commercial & Investment Bank, you will support the design, delivery, and scaling of AI upskilling, awareness, and change management initiatives. You will help employees understand where AI shows up in day-to-day tools and how to adopt AI capabilities responsibly. You will maintain a centralized AI Tool Inventory and support a structured communications approach to AI across the Commercial & Investment Bank. You will work across a diverse set of partners to drive adoption, engagement, and continuous improvement. You will help translate complex AI, technical, and regulatory topics into clear, practical materials that teams can use.Job ResponsibilitiesSupport and deliver cross Commercial & Investment Bank AI upskilling initiatives from design through implementation and continuous improvementDeliver AI training that builds foundational AI literacySupport change management activities that promote responsible AI adoption and embed AI into everyday ways of workingDevelop and maintain an AI Tool Inventory as a one-stop shop for information on AI tools, ensuring content stays accurate, current, and aligned with firm policiesConduct analysis to identify gaps in existing AI upskilling and awareness initiatives and support targeted solutions to close gapsDraft and refine communications materials, including intranet content, newsletters, and leadership talking points, to support a multi-layered AI communications strategyTrack progress and engagement across AI knowledge initiatives, reviewing participation, feedback, and adoption data to identify where additional interventions are neededRequired Qualifications, Capabilities, and SkillsExperience in communications and/or upskilling, learning, and development rolesFoundational knowledge of artificial intelligence, machine learning, and generative artificial intelligence, including basic prompt engineering concepts, key risks, and responsible AI principles in a regulated environmentStrong verbal and written communication skills, with ability to translate complex AI, technical, and regulatory topics into clear, concise, practical materialsProven ability to deliver multiple initiatives to conclusion across a diverse group of partners while managing competing prioritiesProficiency in Microsoft Excel and PowerPoint, including ability to analyze data and produce clear, well-structured materialsStrong organization, attention to detail, and learning agility, with ability to quickly assimilate new AI tools, policies, and regulatory developmentsBachelor’s or Master’s degree in a relevant field or equivalent practical experiencePreferred Qualifications, Capabilities, and SkillsExperience with AI and knowledge of financial services#AIEnablement_jobsJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-05-22

Role Type: Hybrid workingThe TeamThe Audit Technology team at KPMG is driving innovation at the intersection of auditing and advanced technological solutions, reshaping the future of audit delivery. By combining expertise in Artificial Intelligence, Data Engineering, Data Analytics, and Software Development, the team is revolutionising the auditing process to deliver smarter, faster, and more reliable outcomes.Our mission is to design and implement robust, intelligent, and scalable technologies that not only streamline workflows but also enhance audit quality and generate actionable insights for auditors and clients. Through harnessing the power of cutting-edge tools, we aim to transform traditional audit practices into dynamic, forward-thinking processes that are built for the complexities of the modern business environment.Our team, supported by KPMG’s global network, serves as the driving force behind this transformative journey. Focused on innovation, this team is dedicated to engineering solutions today that anticipate the challenges and opportunities of tomorrow, ensuring that audit services remain at the forefront of technological progression.The RoleAs a Principal AI Engineer, you will play a pivotal role in transforming advanced AI concepts into impactful, production-ready solutions within the Audit Technology team. You will lead a dedicated AI engineering squad, working closely with data scientists, data engineers, software developers, cloud architects, and audit professionals to build and scale AI-driven systems that enhance audit quality, efficiency, and insight generation.From developing robust proof-of-concepts to deploying enterprise-grade solutions, you will apply your expertise in AI engineering, cloud platforms, and technologies such as Generative AI, Azure, Databricks to embed intelligence into critical audit workflows and products.In addition to technical leadership, you will shape the growth of the team—mentoring engineers, promoting best practices, and fostering a culture of collaboration, innovation, and continuous improvement. You will stay at the forefront of AI engineering trends, advocate for modern development methodologies, and drive knowledge-sharing across both the technology and audit domains.Responsibilities· Leadership & Mentorship: Lead a high-performing AI engineering team comprising software engineers and AI practitioners. Provide hands-on technical direction, foster career growth, and cultivate a collaborative culture that emphasizes engineering excellence, innovation, and continuous improvement.· Scalable AI Engineering: Drive the design, development, and deployment of production-grade AI systems tailored to audit applications. Ensure solutions are scalable, reliable, and maintainable by applying strong software engineering principles, MLOps practices, and cloud-native development.· End-to-End AI Solution Delivery: Oversee the full lifecycle of AI product engineering—from architectural design and prototyping to CI/CD-enabled deployment—using modern platforms and tools such as Azure ML, Databricks, MLflow, LangChain and LangGraph. Champion automation, testing, and observability across pipelines.· Operational Excellence: Define reusable development patterns, enforce coding standards, and promote MLOps best practices that support version control, performance optimisation, and maintainability.· Cross-Disciplinary Collaboration: Partner closely with data scientists, product managers, platform engineers, and QA teams to align on technical requirements, delivery timelines, and integration plans. Ensure AI capabilities are well-embedded within core audit platforms and services.· AI Governance & Risk Management: Implement engineering controls to support responsible AI use, including model monitoring, explainability, security, and auditability. Contribute to the operationalisation of AI governance frameworks to ensure regulatory and ethical compliance.· Capability Building & Knowledge Sharing: Drive initiatives to enhance internal capabilities, empowering team members and the broader Audit Technology function with the skills and knowledge to adopt and adapt AI innovations effectively.Requirements· Bachelor (preferably master or PhD) in Computer Science, Artificial Intelligence, Data Science, Statistics, Engineering, or a related technical field — or equivalent professional experience.· Strong knowledge of generative AI, machine learning, deep learning, natural language processing and other relevant AI fields.· Proven track record of designing, developing, and deploying AI systems in production environments.· Proficient in Python and key ML libraries (e.g. PyTorch, PySpark, scikit-learn, Hugging Face Transformers).· Hands-on experience with modern data platforms and AI tooling such as Azure ML, Databricks, MLflow, LangChain, LangGraph.· Proven experience with modern engineering practices Git, version control, unit testing and containerisation.· Familiarity with agile work methodologies and tools like Jira and Confluence.· Exceptional leadership and communication skills, with the ability to convey complex technical concepts to diverse audiences.· Advanced certifications in AI, machine learning, cloud computing or data engineering are highly advantageous.· Professional accounting qualification preferred, however not a requirement.Why Audit at KPMG?Audit is the largest of our UK practices. Some of the world’s biggest companies rely on us to provide independent insight, challenge and expertise, so the work we undertake affects investment decisions, inspires confidence in public sector expenditure and supports our economic growth. Today, more than ever in disruptive times, audit is a function needed by society, and in the future, so we can capitalise, and grow. As part of the Audit team, you’ll be helping to build the confidence and trust that business and society need to thrive. We want to lead the conversation when it comes to shaping the future of the profession. And given the scale and variety of our audit engagements in both the UK and globally, we are well placed to create change. If you share our commitment to achieving excellence and working to the highest audit standards, are a natural collaborator who values different perspectives and relishes the opportunity to develop and progress - then KPMG could be the place where you can thrive.#LI-AT#LI-DC1

Senior MLopsLocation: AmsterdamAbout our TeamData Science Life Sciences is a diverse team focusing on GenAI, ML, NLP. We mainly develop best-in-class enrichment pipelines for Elsevier’s life science .com products such as Reaxys, Embase and Pharmapendium.About Role:Join the team that powers Elsevier’s Data Scientists at Corporate Markets in the domain of Life Sciences. You will bridge Data Science and Engineering to turn experimental NLP/IR/GenAI models into secure, reliable, and scalable services. Our work empowers R&D within Chemistry and Biology domain, to support that you’ll work on AI-based features (GenAI, Agentic AI, RAG, etc.) search/ranking quality, and knowledge graph aware retrieval while enforcing content rights and confidentiality.Key ResponsibilitiesML & LLM Engineering, Search and Recommendation EnginesAutomate and orchestrate machine learning workflows across major cloud and AI platforms (AWS, Azure, Databricks, and foundation model APIs such as OpenAI) Maintain and version model registries and artifact stores to ensure reproducibility and governance Develop and manage CI/CD for ML, including automated data validation, model testing, and deployment. Implement ML Engineering solutions using popular MLOps platforms such as AWS Sagemaker , MLflow, Azure ML. End-end custom Sagemaker pipelines for recommendation systemsDesign and implement the engineering components of GAR+RAG systems (e.g., query interpretation and reflection, chunking, embeddings, hybrid retrieval, semantic search), manage prompt libraries, guardrails and structured output for LLMs hosted on Bedrock/SageMaker or self-hostedDesign and implement ML pipelines that utilize Elasticsearch/OpenSearch/Solr, vector DBs, and graph DBs Build evaluation pipelines: offline IR metrics (NDCG, MAP, MRR), LLM quality metrics (faithfulness, grounding), and A/B testing. Optimize infrastructure costs through monitoring, scaling strategies, and efficient resource utilization Stay current with the latest GAI research, NLP and RAG and apply the state-of-the-art in our experiments and systems Collaboration Partner with Data Scientists, Engineers, Subject Matter Experts, Product Managers, and Responsible AI experts to support translate business problems into cutting edge data science solutions Collaborate and interface with Operations Engineers who deploy and run production infrastructure. Required Qualifications 5+ years in ML Engineering, MLOps platforms, shipping ML or search/GenAI systems to production. Strong Python, Java, and/or Scala engineering Experience with statistical analysis, machine learning theory and natural language processing Hands on experience with major cloud vendor solutions (AWS, Azure and/or Google) Search/vector/graph technologies (e.g., Elasticsearch/OpenSearch/Solr//Neo4j). Experience in evaluating LLM models Background with scholarly publishing workflows, bibliometrics, or citation graphs A strong understanding of the Data Science Life Cycle including feature engineering, model training, and evaluation metrics Familiarity with ML frameworks, e.g., PyTorch, TensorFlow, PySpark Experience with large scale data processing systems, e.g., Spark Work in a way that works for youWe promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.About the businessA global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world. Primary Location Base Pay Range: NLD Amsterdam (Radarweg) 53,800 - 89,900. This role is covered by the Collective Labor Agreement Publishing Industry. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here.Please read our Candidate Privacy Policy.We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.USA Job Seekers:EEO Know Your Rights.SummaryLocation: Amsterdam; London WallType: Full time

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.The UK&I Solutions Engineering team guides Okta customers through their entire journey, from initial engagement to upsell and cross-sell, using their expertise in presentations, events, and meetings to ensure customers drive maximum value from our platform. We are looking for great teammates that can build sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on Identity Security. Okta’s Solutions Engineers empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity Platform.What you’ll be doing: Involved in all stages of the customer’s sales lifecycle in the role of trusted technical advisor.Building sales presentations, product demonstrations, and educate customers (everyone from developers to product managers to C-level executives) on the best ways to secure identity.Empathise with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs.Using your technical savviness and business insights, you will hone each of these skills by advising a diverse set of customers on what is possible using Okta’s Identity PlatformWhat you’ll bring to the role: A passion to serve the customer, with experience working within PreSales (e.g. Sales Engineer, Solutions Engineer, PreSales Consultant) An ability to quickly communicate complex ideas around a technical topic, ideally on the fly at a whiteboardKnowledge of and/or experience with at least one standard network security protocol (eg. OIDC, OAuth2, SAML, LDAP)Knowledge of and/or experience in identity governance and administration (IGA): identity lifecycle management, access reviews, role-based access control (RBAC), and policy enforcementKnowledge of and/or experience in Privilege Access Management (PAM): familiarity with concepts such as least privilege, just-in-time (JIT) access, session monitoring, and vaulting privileged credentials to secure critical assetsAn understanding of core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF)An understanding of sales methodologies and best practice, including awareness of MEDDPICCCExperience working with Large Enterprise and/or Strategic sectorsExcellent communication skills and an ability to articulate business valueAn ability to disperse knowledge to a highly skilled and experienced audience.Enjoy travel and meeting customersEnjoy collaborating with cross functional teams to drive successAnd extra credit if you have experience in any of the following!Experience with Identity & Access Management, Single Sign-on and API-based solutionsBachelor's degree in Engineering, Computer Science, MIS or a comparable fieldSoftware Developer experience#LI-Hybrid#LI-JP3P9307_3402396Below is the annual salary range for candidates located in the United Kingdom. Your actual salary will depend on factors such as your skills, qualifications, and experience. In addition, Okta offers equity (where applicable), bonus, and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program, please visit: https://rewards.okta.com/gbr.The annual base salary range for this position for candidates located in the United Kingdom is between:108,000—160,000 GBPThe Okta ExperienceSupporting Your Well-BeingDriving Social Impact Developing Talent and Fostering Connection + CommunityWe are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

As a Senior Machine Learning Engineer, you'll join our Triage Intelligence team — a high-impact, cross-functional group of software engineers, Data Scientists, clinicians, and a Principal Product Manager. You will translate complex clinical and product objectives into efficient computational tasks

Vacancy detailAssociate Director – Lead AI Architect90,000 to 120,000 GBPBonusHybrid WORKINGLocation: Central London, Greater London – United Kingdom Type: PermanentAssociate Director – Lead AI ArchitectLocations: Edinburgh, Glasgow, London, Manchester or NewcastleSalary: Up to 120,000 + BonusEmployment Type: PermanentSponsorship: Unfortunately, visa sponsorship is not available for this position.The OpportunityWe are looking for an experienced Lead AI Architect to join a leading Technology & Transformation consultancy, working on some of the UK's most complex and high-profile Security, Justice and Public Sector programmes.This is an opportunity for someone who wants to move beyond AI experimentation and Proof of Concepts. You will play a leading role in architecting and delivering production-grade AI systems, helping clients take Generative AI and Machine Learning solutions from initial concept through to secure, scalable and operational services.You will combine deep technical expertise with consulting, delivery and leadership experience. Working closely with senior client stakeholders and multidisciplinary engineering teams, you will translate complex business challenges into practical, robust and cost-effective AI solutions.This is a hands-on technical leadership role, ideal for someone currently operating as a Lead AI Architect, Principal AI/ML Engineer, AI Engineering Lead, Principal Architect, AI Practice Lead or similar, and looking to take the next step into an Associate Director-level position.The RoleAs Lead AI Architect, you will:Design end-to-end, scalable and secure AI architectures for complex enterprise and public sector environments.Lead the development and deployment of production-grade Generative AI and Machine Learning solutions.Architect systems integrating LLMs and ML models into wider enterprise applications and workflows.Oversee the full technical lifecycle, from solution design and model selection through to deployment, monitoring and continuous improvement.Design and implement robust MLOps and LLMOps practices, including CI/CD, model monitoring, evaluation and governance.Deploy and optimise models using cloud-based AI services such as AWS Bedrock, Azure AI Foundry and other AWS, Azure or GCP services.Work with self-hosted inference and model-serving technologies where appropriate, including tools such as vLLM, SGLang and Ollama.Design evaluation, observability and monitoring frameworks to assess model performance, system health, reliability and business impact.Optimise AI solutions for performance, scalability, security and cost-efficiency.Identify where AI can deliver genuine value and, equally importantly, recognise when a simpler engineering solution is more appropriate.Translate high-level client requirements into technical architectures, delivery roadmaps and actionable engineering plans.Identify and mitigate technical risks, including security, deployment and operational challenges.Lead and mentor multidisciplinary teams of AI Engineers, Machine Learning Engineers, Data Scientists and Software Engineers.Engage with senior stakeholders and communicate complex technical concepts to both technical and non-technical audiences.What We're Looking ForWe are looking for someone with significant experience designing and delivering enterprise-scale AI, Machine Learning and Generative AI solutions in complex environments.You will currently work, or have recently worked, for a consultancy or professional services organisation, with experience delivering technology solutions directly to external clients.You should be able to demonstrate:Extensive experience designing, developing and deploying production-grade AI/ML and Generative AI solutions.Experience operating at a senior technical leadership level, leading engineering teams and influencing senior stakeholders.Strong hands-on experience with Python and modern AI/ML frameworks such as PyTorch and/or TensorFlow.Deep understanding of LLMs, Generative AI, prompt engineering, RAG architectures and vector databases.Experience with frameworks and tooling such as LangChain, LangGraph or similar open-source AI toolkits.Experience fine-tuning, evaluating, deploying and monitoring large-scale AI systems.Strong understanding of MLOps and/or LLMOps, including CI/CD, model deployment, monitoring, evaluation and governance.Experience designing AI systems with a strong focus on security, responsible AI, ethical guardrails and compliance.Broad cloud experience across AWS, Azure and/or GCP, ideally including native Generative AI services.A strong software engineering mindset, with experience building scalable, reliable and maintainable production systems.Excellent stakeholder management skills and the ability to bridge the gap between business requirements and technical delivery.Experience working in complex and highly regulated sectors such as Government, Public Sector, Security, Justice, Defence, Healthcare or other similarly challenging environments.Experience with large-scale data technologies such as SQL, Spark or Hadoop would also be beneficial.About YouYou will be a technically credible leader who is still comfortable getting into the detail.You will understand the difference between building an impressive AI demonstration and delivering a secure, reliable system that can operate successfully in a real-world environment.You will be comfortable working with clients, challenging requirements where necessary, shaping technical strategy and leading teams through complex delivery.Most importantly, you will have a pragmatic approach to technology and understand that the best solution is not always the one using the most advanced AI.What's on OfferSalary up to 120,000Performance-related bonusAssociate Director-level opportunity within a leading Technology & Transformation consultancyThe opportunity to lead major AI and Data programmes across Security, Justice and the wider Public SectorWork on cutting-edge Generative AI and Machine Learning solutions that are moving beyond Proof of Concept into real-world productionLocations across Edinburgh, Glasgow, London, Manchester and NewcastleSignificant technical leadership, client engagement and career progression opportunitiesPlease note: Candidates must have the right to work in the UK. Visa sponsorship is not available for this position.Reference: AMC-AQU-ADLAIAPostcode: EC2V 6AA#adquApply for this vacancyYour CV will be sent to the selected department. At no time will your CV be sent outside of Anson McCade without your authorisation.Mandatory field.Your nameYour surnameYour email addressI confirm I currently have the right to take full time employment at the location for which I am submitting my CVPlease state the locations where you currently have the right to take full time employmentAttach a file (Word or PDF only accepted)MessagePrior to submission of this form, the user acknowledges and accepts Anson McCade's Terms and Conditions of Use + Privacy Policy + Data Protection Compliance Statement* I acknowledge and accept TrustpilotOur OfficesVacancy searchSearch all the vacancies on Anson McCade Select a Practice Area Quantitative Research, Trading & Risk Digital + Analytics Information Technology + Cyber Security Business Change and Transformation + Strategy IT / Software Sales Internal Positions at Anson McCade

Join us in shaping the future of AI at JPMorganChase, where you can make a real impact by building autonomous agents that solve critical challenges. We value your expertise and encourage you to pioneer new approaches, bridging theory and practice while collaborating with talented teams across the globe to help define how AI transforms the world's largest bank. Experience career growth, mentorship, and the excitement of building next-generation solutions.We're developing an AI platform and desktop application that helps users automate their document processing workflows at the world's biggest bank, already operating at hundreds of documents per second and doubling every three months, leveraging agentic systems that are powerful, truly generalizable, and scalable while maintaining security in a highly sensitive enterprise environment.As a Machine Learning Engineer in the Applied Artificial Intelligence and Machine Learning team within Commercial & Investment Banking, you will design and deliver production architectures for AI-powered products and services, working at the intersection of software engineering and scientific research to translate innovative ideas into scalable enterprise solutions. You will collaborate with cloud and SRE teams in a role that offers flexibility for individual contributors and optional management responsibilities, depending on your interests and experience. You will help shape the team culture and drive impactful change.Job Responsibilities:Design and deliver enterprise-grade machine learning systemsCollaborate with cloud and SRE teams to build robust production architecturesTranslate scientific research into scalable ML solutionsDevelop and deploy business-critical, data-intensive applicationsImplement distributed, multi-threaded, and scalable applicationsBuild, test, and deploy automated pipelines for ML solutionsLeverage foundational libraries and services for re-use across teamsApply best practices in software engineering and computer scienceUtilize MLOps tools for versioning, reproducibility, and observabilityAlign ML problem definitions with business objectivesMentor and support team members, with optional management responsibilitiesRequired Qualifications, Capabilities, and Skills:Experience in machine learning engineering rolesDegree in a quantitative discipline (Computer Science, Mathematics, Statistics)Proven ability to develop and deploy business-critical, data-intensive applicationsExtensive experience with AWS and KubernetesProficiency with lower-level libraries such as PyTorch and NumPyHands-on experience implementing distributed, multi-threaded, and scalable applicationsExperience with automated building, testing, and deployment pipelinesFamiliarity with higher-level interfaces like Pydantic AI and LangraphStrong understanding of computer science fundamentals and development best practicesBroad knowledge of MLOps tooling for versioning, reproducibility, and observabilityAbility to understand business objectives and align ML problem definitionsPreferred Qualifications, Capabilities, and Skills:Experience mentoring or leading teamsKnowledge of agentic AI conceptsExperience designing reusable libraries and servicesInterest in bridging scientific theory and enterprise-grade systemsPassion for innovation and continuous learningWhy Join Us? You will be part of a pioneering team that is transforming banking with AI. We offer opportunities for career growth, mentorship, and the chance to work on impactful projects that shape the industry. Your expertise will help us build the next generation of AI solutions, making a difference for our clients and communities worldwide.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-05-18

Join Kainos and Shape the Future At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.Ready to make your mark? Join us and be part of something bigger.JOB PROFILE DESCRIPTION Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence, and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: As a Lead AI Engineer at Kainos, you will architect, design, and deliver advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI frameworks, AIOps best practices and scalable cloud-native architectures. Your role will involve hands-on technical leadership, collaborating with customers to translate business challenges into trustworthy AI solutions and ensuring responsible AI practices throughout. As a technical mentor, you will foster a culture of innovation, continuous learning, and engineering excellence. It is a fast-paced environment, so it is important for you to make sound, reasoned decisions. You will do this whilst learning about new technologies and approaches, with talented colleagues that will help you to develop and grow. You will manage, coach, and develop a small number of staff, with a focus on managing employee performance and assisting in their career development. You will also provide direction and leadership for your team as you solve challenging problems together. MINIMUM (ESSENTIAL) REQUIREMENTS: A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. Demonstrable experience of deploying modern AI/ML solutions into production, including prompt engineering, retrieval-augmented generation (RAG), model evaluation, and monitoring using metrics (e.g. precision, recall, NDCG and drift detection). Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). Experience developing solutions at scale on cloud platforms (Azure & AWS), containerisation and orchestration tools such as Kubernetes and Docker. Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. Understanding of responsible AI principles, model interpretability, and ethical considerations. Strong interpersonal skills with the ability to lead client projects and establish requirements in non-technical language. We are passionate about developing people, you will bring experience in managing, coaching, and developing junior members of a team and wider community. DESIRABLE: Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g, GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). Experience with data storage for AI, vector databases, semantic search, and knowledge graphs. Contributions to open-source AI projects or research publications. Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. Embracing our differences At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.Job SummaryJob number: JR_17993Date posted : 2026-06-26Profession: Data & Artificial IntelligenceEmployment type: Full time

DV Cleared AI EngineerLocation: Central London (Hybrid)Salary: 80,000 - 100,000 + Performance Bonus + Excellent BenefitsSecurity Clearance: Active UK DV Clearance RequiredShape the Future of National Security & Advanced TechnologyWe're partnering with an innovative organisation delivering cutting-edge technology solutions across some of the UK's most complex and high-impact programmes. We're looking for DV Cleared professionals with experience in Artificial Intelligence, Machine Learning, Data Engineering, Software Engineering, or Palantir Technologies to join a growing team based in Central London.Whether you're a recent graduate with active DV clearance or an experienced Senior Engineer, we'd love to hear from you.We're Looking ForYou may have experience in one or more of the following:Artificial Intelligence (AI) & Machine LearningGenerative AI & Large Language Models (LLMs)Palantir Foundry, Gotham or AIPData Engineering & Data AnalyticsSoftware EngineeringPython, Java or similar programming languagesCloud technologies (AWS, Azure or GCP)Data integration, modelling and visualisationSolving complex technical challenges within secure environmentsWhat You'll BringActive UK Developed Vetting (DV) Clearance (essential)A passion for solving challenging technical problemsStrong analytical and communication skillsThe ability to work collaboratively with multidisciplinary teamsA desire to contribute to projects that make a real-world impactWhat's on OfferCompetitive salary of 40,000 - 100,000 depending on experiencePerformance-related bonusComprehensive company benefits packageClear career progression from Graduate through to Senior EngineerThe opportunity to work with industry-leading technologies, including AI and PalantirExposure to high-profile, mission-critical programmesA collaborative, high-performing technical environmentInterested?If you hold active UK DV Clearance and have experience with AI, Machine Learning, Palantir Technologies, or related engineering disciplines, we'd love to speak with you.Apply today or get in touch for a confidential discussion to learn more about these exciting opportunities in Central London.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.As a Lead Software Engineer at JPMorganChase within the Commercial and Investment Bank - Post Trade Technology Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.Job responsibilitiesExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problemsDevelops secure high-quality production code, and reviews and debugs code written by others Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsLeads evaluation sessions with business stakeholders, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architectureLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologiesUse AI-assisted tools to accelerate engineering work while maintaining controls, including:Drafting/refactoring code and documentation with validation via tests, code review, and static/security scanning.Generating and expanding test scenarios (edge cases, regression suites) and verifying correctness/coverage.Assisting with troubleshooting by summarizing signals (logs/alerts/traces) and proposing hypotheses, confirmed through reproducible investigation.Apply responsible AI practices: protect sensitive data, avoid inappropriate input of confidential information, and treat AI output as non-authoritative until verified.Adds to team culture of diversity, equity, inclusion, and respectRequired qualifications, capabilities, and skillsFormal training or certification on engineering concepts and 10+ years applied experienceHands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s)Proficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Proficient in full stack development skill Java 21, REACT or any other frameworks , building into Public Cloud and CD/CD strategies.Practical experience using AI-assisted development tools to improve productivity and quality, with a strong verification mindset (tests + peer review).Preferred qualifications, capabilities, and skillsIn-depth knowledge of the financial services industry and their IT systemsPractical cloud native experienceExperience with observability tooling and practices (structured logging, metrics, distributed tracing) and incident/problem management.Work Style / Ways of WorkingStrong communication skills, ownership mindset, and ability to collaborate across product, engineering, and operations.Commitment to inclusive teamwork and continuous improvement in engineering practices and delivery excellence.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-06-03

Company DescriptionWise is a global technology company, building the best way to move and manage the world’s money.Min fees. Max ease. Full speed.Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.As part of our team, you will be helping us create an entirely new network for the world's money.For everyone, everywhere.More about our mission and what we offer.Job DescriptionJob DescriptionAbout the roleWe are looking for a passionate Data Engineering Manager to join the Treasury Global Liquidity team and help design the foundations of the real-time liquidity observability stack and core business functions served by the team.In this role, you will be responsible for delivering key initiatives, contributing to setting the technical strategy of the team, and ensuring we build robust and scalable systems while promoting a culture of innovation and continuous improvement.You will have a direct and measurable impact across multiple Wise products, owing to the core position of the team’s domain in ensuring our platform scales efficiently.How do we work?At Wise, we work in autonomous, cross-functional teams. As an Engineering Manager, you will work in a highly collaborative environment, partnering closely with Product Managers, Analysts, Data Scientists and key stakeholders in our Treasury and Finance teams. Together, you will define the strategy, shape the roadmap, and deliver impactful solutions that advance our mission.What will you be working on?Elevated Customer Experience:- Lead the development of a reliable, real-time view of our liquidity for multiple products.- Enable the transition of the customer experience from pre-determined restrictions and delays to an intelligent, dynamic model.Financial Strength and Resilience:- Design and implement advanced monitoring systems to optimize financial resource management systems, directly contributing to operational efficiency gains.- Strengthen our foundational scaling strategy, allowing us to operate with greater agility and confidence as we grow.Controlled and Intelligent Scalability:- Engineer sophisticated, fine-grained control mechanisms to manage liquidity utilization effectively.- Ensure the rapid processing of high-value transactions while maintaining robust, strategic controls to manage flow as needed.Automated Investment and Risk Management Tooling:- Develop systems that automate the investment of surplus cash while adhering to strict risk and regulatory parameters.- Collaborate with data scientists and help develop machine learning to forecast future cash inflows and outflows across all currencies and jurisdictions with high accuracy, enabling proactive and optimal cash positioning and minimizing idle balances.What do you need?We are seeking a proven Data Engineer who thrives on complexity. The ideal candidate combines architectural depth in distributed systems with a sharp commercial and product intuition, capable of navigating the intricate trade-offs between financial cost, operational risk, and customer experience.Qualifications:• You have a strong background in software engineering, with proven experience designing, building, and operating complex and reliable event-driven systems in a production environment.• You are comfortable working on a complex and high-stakes domain, such as treasury, payments, or finance, and can guide a team through its unique technical challenges.• You have a strong sense of ownership and the ability to think beyond technical implementation to understand how your team's work directly impacts business risk, cost, and customer satisfaction.• You have experience working closely with product and stakeholders to define requirements and prioritize the most impactful work.• You have demonstrable experience leading and mentoring engineers across diverse domains and levels. You possess the skills to guide towards a high-performing team that is collaborative, supportive, and passionate about achieving goals.• You lead by example, inspiring your team to produce high-quality, maintainable code and uphold high engineering standards.• You are an excellent communicator, capable of articulating complex technical concepts clearly to both technical and non-technical audiences.Interested? Find out more:How we work – a practical guideDEI @ WiseWise Tech Stack (2025 update)See what it's like to work at Wise London!Our Engineering career mapWise Engineering – https://medium.com/wise-engineeringWhat do we offer: Starting salary: 105k - 135k + RSUsWise Benefits#LI-AB3 #LI-HybridAdditional InformationFor everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.We're proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.If you want to find out more about what it's like to work at Wise visit Wise.Jobs.Keep up to date with life at Wise by following us on LinkedIn and Instagram.SummaryType: Full-timeFunction: EngineeringExperience level: Mid-Senior LevelIndustry: Financial Services

Skills and Competencies12+ years of software engineering experience, including 5+ years leading engineering teams and delivering complex, large-scale, multi-team initiatives with measurable business impactExperience leading multiple teams or groups of teams, including managing engineering managers, technical leads, and staff-level engineers with accountability for delivery outcomes across a portfolioStrong technical depth in TypeScript, Python, C#, or similar technologies, with the ability to engage credibly in architecture and code reviews, challenge design decisions, and assess technical riskDeep expertise in enterprise AI applications built on large language models, including agents, retrieval augmented generation, orchestration frameworks, model optimization, and evaluation frameworksHands-on experience building AI/ML applications (RAG, agent frameworks, MCPs, skills, harnesses) and taking them to production or in platforming (LLM or MCP gateway, agentic runtime, auth, data retrieval, eval tooling)Experience running AI systems in production at scale, including observability, cost and capacity planning, regression detection, and incident response for AI-powered applicationsExperience operating production distributed systems on AWS/Azure, with a strong grasp of reliability, observability, and incident response at scaleDeep knowledge of cloud-native technologies, serverless applications, event-driven architectures, data and inference pipelines, relational, NoSQL, and vector databases, and modern software architecture patternsProven track record of owning multi-year technical strategy and architectural roadmaps, guiding teams from AI prototype through production deployment, and influencing organizational changeDeep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organizationEducationBachelor's or master's degree in Computer Science, Engineering, Artificial Intelligence, or a related discipline, or equivalent professional experienceResponsibilitiesLead the strategy, delivery, and evolution of mission-critical AI platforms and intelligent applications while driving engineering excellence across the Digital Content and Innovation organization.Define and execute long-term technical strategies while owning the multi-year architecture and technology roadmap for AI platforms and applicationsLead, grow, and organize multiple engineering teams, including engineering managers, technical leads, and staff-level engineers, with accountability for delivery outcomes across the portfolioDrive architectural decisions, organizational alignment, and integration of AI-powered solutions using large language models, retrieval augmented generation, orchestration frameworks, and agentic workflowsEstablish engineering excellence through architecture reviews, code reviews, automated testing, observability, security standards, operational excellence, and machine learning operations practicesOwn budget planning and cost management, including headcount, cloud infrastructure, model consumption, tooling investments, vendor relationships, and build-versus-buy decisionsPartner with product, business, risk, legal, compliance, and audit stakeholders to maximize customer value and implement responsible AI governance practicesAttract, develop, and retain engineering talent through mentoring, succession planning, performance coaching, and the cultivation of future engineering leadersDefine and report on key metrics that demonstrate platform adoption, delivery performance, reliability, cost efficiency, and measurable business impactAbout the TeamOur Digital Content and Innovation team is responsible for building and deploying intelligent, AI-powered solutions that drive innovation across Moody's products and platforms. The team accelerates the development of next-generation analytical capabilities, enables smarter client experiences, and advances Moody's leadership in applied artificial intelligence. As Principal Engineer, you will define the technical vision, guide strategic investments, build high-performing teams, and help transform applied AI into scalable, production-ready capabilities that deliver measurable value responsibly and at scale.-

Join us to shape the future of financial technology and make a meaningful impact on your career. You’ll collaborate with talented professionals, solve complex challenges, and help build trusted market-leading products. We value creativity, inclusion, and continuous learning, offering you the opportunity to grow and thrive. At JPMorganChase, your ideas and expertise will help us push the limits of what’s possible. As a Lead Software Engineer in Post Trade Technology, you will play a pivotal role in an agile team dedicated to enhancing and delivering secure, stable, and scalable technology products. You will drive critical technology solutions across multiple technical areas, supporting the firm’s business objectives. Your contributions will help shape our team culture, foster innovation, and ensure operational excellence.Job Responsibilities:Execute creative software solutions, design, development, and technical troubleshootingDevelop secure, high-quality production code and review and debug code written by othersIdentify opportunities to eliminate or automate remediation of recurring issuesLead evaluation sessions with external vendors, startups, and internal teamsDrive outcomes-oriented probing of architectural designs and technical credentialsLead communities of practice across Software EngineeringPromote awareness and use of new and leading-edge technologiesContribute to a culture of diversity, opportunity, inclusion, and respectRequired Qualifications, Capabilities, and Skills:Hands-on practical experience in system design, application development, testing, and operational stabilityAdvanced proficiency in one or more programming languagesProficiency in automation and continuous delivery methodsSkilled in all aspects of the Software Development Life CycleAdvanced understanding of agile methodologies, including CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile)In-depth knowledge of the financial services industry and IT systemsPractical cloud native experiencePreferred Qualifications, Capabilities, and Skills:Experience with Java and OracleFamiliarity with messaging platforms such as RMQ and KafkaKnowledge of KubernetesExperience with ReactJS and JavaScriptFunctional knowledge of FX or Derivatives Settlements domainIf you’re ready to join a team that values innovation, inclusion, and professional growth, we invite you to apply and help us redefine what’s possible in financial technology.J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-07-20

Hudson River Trading (HRT) is seeking a Physical Design Engineer with a broad, versatile skillset to join our growing Hardware team. In this role, you will help deliver performance-critical ASICs and advance our physical design methodologies on leading-edge process nodes.The Hardware team at HRT builds high-performance compute engines using FPGA and ASIC technology to drive low-latency trading decisions on global markets. We create custom solutions across the full spectrum of speed and sophistication, from bespoke circuits to world-class machine learning accelerators.ResponsibilitiesDrive design-for-test (DFT) methodologies and implementation Contribute to physical implementation, from RTL handoff through GDSII on advanced process nodes Partner on floorplanning and physical optimization for high-performance, latency-critical designsClose timing across multiple modes and corners while optimizing power, performance, and area (PPA)Diagnose and resolve physical design issues such as timing bottlenecks, congestion, and IR/EM violationsBuild, maintain, and improve repeatable, automated physical design flowsDevelop scripts and tooling to improve productivity, robustness, and insight into design behaviorCollaborate closely with RTL, architecture, and other hardware engineers to influence design decisions earlyQualificationsExperience working in high-performance ASIC design environmentsStrong fundamentals in digital logic, circuit design, and process technologyFamiliarity with DFT concepts and testing methodologiesStrong scripting and automation skills (Python, Tcl, shell), including parsing and analyzing tool outputsAbility to design robust methodologies, diagnose complex failures, and improve physical design flowsApplied use of statistics in analyzing timing, power, or design data (preferred)Hands-on experience with static timing analysis and timing closure methodologiesExpertise using industry-standard physical design and signoff tools (e.g., Innovus, PrimeTime)This job is accepting ongoing applications and there is no application deadline.The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience.This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package which includes medical, dental, vision, basic life insurance, and enrollment in our company’s retirement savings plans. Employees will receive sick and parental leave, as well as other paid time off (including 20 vacation days and 10 paid holidays in the US). Please note that benefits and time off policies will vary across non-US locations.In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.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.

Senior Consultant Hybrid working patternWho we areArtefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 1000+ client base around the globe.We have over 2000 employees across 36 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.Key responsibilitiesAs a Senior Consultant, you are a team leader - you will receive the coaching of the most senior people at Artefact and you will be in constant contact with our clients to drive success. You will take the responsibility and ownership of the quality and timeliness of the project delivery while contributing to the vision and organising the next steps. To succeed in this role, the Senior Consultant needs to be a true problem-solver and project manager, relying on the expertise of others (data scientists, data engineers, or their peers and clients) and getting a very detailed understanding of what great looks like for their clients. They will be able to adapt to a vast diversity of missions while acquiring a fine knowledge of the complex organisations to make data go beyond technology and drive real business impact. Leveraging the right and smart data to improve the business outcome for our clients is the DNA of a Senior Consultant at Artefact.As a Senior Consultant, your missions will include:Understanding clients needs and build your convictions to create success in your missionsFormulating strategies, roadmaps, action plans and communicate them efficiently in writing and orally to the clients and other team membersOrganising the delivery of projects end-to-end, from briefing and managing your teams to driving clients in the right directionInspiring and contribute to deliverables with a desire to lead by example, while your philosophy is to create legitimacy on the groundDriving the commercial roadmaps with your managers and partners and helping to build knowledge for Artefact as you build industry / topic expertise project after project.What we are looking forIndividuals who align with our values; We value potential over existing knowledge. We value ideas over hierarchy. We value actual work over nice talks. We value people over experience.We love individuals who are curious and problem-solving. We have a strong appetite for those who want to discover new things even when it pushes them out of their comfort zone.We would appreciate people who are as passionate as us in all things digital, data and tech.The ability to demonstrate autonomy, high-quality deliverables, strong attention to detail and the ability to build long-term customer relationships is a must, you will also have a strong appetite to grow in the world of Data. Why you should join usArtefact is the place to be: come and build the future of marketing, join a community, we have a team of experts and professionals worldwide that will always be willing to helpGet immersed into the digital and data industry: meet the most innovative partners, deliver cutting-edge projects, and see the industry from backstage. Sooner than you think, you’ll talk about Machine Learning, DevOps and AI like a pro.Progress: Every day offers new challenges and new opportunities to learn. At Artefact, we take training very seriously, and you’ll be coached and mentored on your technical, consulting, and interpersonal skills on a regular basis.Culture: join an diverse, collaborative, and action-oriented teamEntrepreneurship: you will be joining a team of driven entrepreneurs, come and help industry leaders transform through data, we won’t give up until we make a huge dent in this industry!

Who We AreVML 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 award-winning human-first work for clients including AstraZeneca, Colgate-Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca-Cola Company, and Wendy's. In 2026, VML was named Campaign’s Global Network of the Year and ranked #2 Creative Network of the Year at Cannes Lions. VML’s global network spans 55+ markets with principal offices in Buenos Aires, Kansas City, London, New York, São Paulo, Shanghai and Singapore. VML is part of WPP, the trusted growth partner for the world's leading brands. Powered by exceptional talent and our agentic marketing platform WPP Open, WPP unites cutting-edge media intelligence and data solutions, creativity, production, enterprise solutions and expert strategic counsel. For more information, please visit and follow along on LinkedIn #WeAreVML.Do you have strong data and analytical skills, with a passion for shaping business strategy? Can you architect, build, and apply modern data models to deliver impactful marketing insights? Are you seeking an exciting role with significant opportunities for leadership and growth? Then you might be the Senior Data Insights Consultant we are looking for! What will your day look like? As our new Senior Data Insights Consultant, you will join our growing Technology and Data team. Here, you will be a key leader in helping our clients make data-driven decisions to enhance their digital communication on an enterprise scale. This entails designing, enabling, and delivering complex data solutions and integrations for various campaign platforms. More specifically, your tasks will include: Architecting, building, and delivering value-adding insights solutions, serving as a key advisor to clients on how to leverage their data assets to optimize large-scale communication strategies. Performing advanced analysis to uncover actionable patterns, trends, and opportunities that directly inform client strategy and decision-making. Designing and running test-and-learn programs (A/B tests, incrementality, holdouts) across channels to measure impact and continuously optimize communication performance. Partnering with senior stakeholders to define strategic business questions and translating them into robust analytical frameworks and data roadmaps. Supporting or leading the data-stream on complex, large-scale projects with globally recognised brands, ensuring that data solutions and integrations are designed and delivered for scalability and business impact. Driving ongoing proactive client ideation — identifying new opportunities, use cases, and data-driven initiatives that help clients grow their business. Helping drive agentic AI adoption, exploring and embedding agentic solutions into our data and insights workflows to enhance efficiency and client value. Providing answers and insights to business-related questions via automated reporting solutions as well as ad-hoc data analyses, including building reports and insights dashboards within marketing platforms such as Adobe and Salesforce. Mentoring, reviewing, and advising less senior team members — elevating quality, fostering technical excellence, and supporting their professional growth. Collaborating with highly skilled specialists including Account Managers, Architects, Developers, Creatives, Strategists, Data Scientists and Marketing Operations experts to service our clients coherently. Who are you going to work with? You will join a team of hands-on Data Insights Consultants, Data Scientists and Data Engineers who are passionate about bringing value and knowledge from data. We are all about unlocking insights from data through analytics and making that insight applicable in 1:1 data-driven communication and CRM. Your work will always be firmly anchored in data in a cross-disciplinary setting, collaborating closely with highly enthusiastic experts from Strategy or Creative backgrounds. What do you bring to the table? As a person, you possess a strong consultancy mindset, demonstrating resilience, curiosity, and an eager-to-learn attitude. You combine this with strong business acumen, allowing you to understand and anticipate client needs effectively. You are outgoing and love being part of interdisciplinary projects and solutions. You are eager to learn and quick to understand the complexity of high-tech dialogues and solutions. Furthermore, you have the drive, enthusiasm, and technical credibility to act as the primary data and insights advisor for senior client leadership, guiding them through complex challenges and inspiring them to grow their business. It's an advantage if you have consulting, agency experience or marketing domain knowledge, but it's not a requirement. In addition, you have: Technical skills A minimum of 5 years of experience in a consultant/business liaison role related to data, BI, analytics or reporting solutions. Can independently design, build, and optimize modern analytics solutions that are scalable, maintainable, and ready for real-world production use. Write, debug, and optimize complex SQL queries, ensuring clarity, efficiency, and production readiness. Design and build scalable dimensional data models from raw source systems (fact/dimension structures, performance-aware design). Apply strong data modelling principles, governance standards and practices that ensure data accuracy, consistency, and security. Develop and manage DBT transformations using layered architecture, including testing and documentation best practices. Build production-ready Power BI semantic models and dashboards, including advanced DAX measures, performance optimization, and secure data access (RLS). Work collaboratively using GitHub, following structured branching, pull request, and code review workflows. Familiarity with or a strong interest in the application of AI and agentic frameworks, and machine learning principles to generate conversational analytics, predictive and advanced marketing insights. Comfortable working in modern cloud data environments (e.g., Snowflake, BigQuery, Databricks, Fabric). Understanding the data structures and reporting capabilities within major marketing and martech platforms (e.g., Adobe Campaign/AJO, Salesforce Marketing Cloud). Ability to build and deliver reports and insights dashboards natively within these tools is a strong advantage Interpersonal skills Technical stakeholder management and influence: A proven ability to build trust and act as a strategic partner to senior-level clients and internal leaders. You can confidently navigate complex, technical stakeholder environments and influence decision-making through data-driven reasoning. Communication and storytelling: Exceptional written and verbal communication skills in English, with the ability to articulate complex data concepts and insights into clear, compelling narratives for both technical and senior business audiences. Consultative and solutions-oriented mindset: The ability to critically assess complex business challenges, ask probing questions to uncover root causes, and propose robust, data-driven solutions. Leadership and mentorship: Proven experience in coaching and mentoring junior team members. You actively foster a culture of technical excellence, collaboration, and continuous learning within the team. Autonomy and critical thinking: You are a self-starter who can think critically, identify issues and opportunities autonomously, and take the initiative to propose and implement corrective actions. A leader in personalized customer experiences VML MAP is a world-leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer-centric. Together, we are 1000+ technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. We 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. 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.

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.As a Senior Manager, Solution Engineering, you will:Hire, coach, and inspire a high-performing team of Solution Engineers, driving career development, performance management, and continuous skill enablement.Support and coach your SEs as they partner with Account Executives to discover customer pain points, develop opportunities, and secure the technical win.Partner directly with senior customer technical leaders on strategic opportunities to articulate Okta’s platform value and secure technical buying decisions.Build deep relationships with key partner technical sales leaders to establish Okta as their preferred identity security standard.Partner with aligned Area Sales Directors to design, execute, and scale Go-To-Market strategies that consistently exceed regional booking targets.Align with Sales, Marketing, Customer Success, and peer SE managers to share best practices, track market trends, and support organizational scaling.Present on key Identity & Access Management (IAM) and cybersecurity topics at Okta events and industry conferences.Collaborate with HR, Finance, and Operations on workforce planning, budget alignment, and talent acquisition strategies.Serve as an ambassador between the field and headquarters, funneling critical customer feedback and product requirements directly to Okta's Product and Engineering teams.We are looking for demonstrable experience in:A proven track record of managing and scaling high-performing Solution or Sales Engineering teams.Attracting, recruiting, and onboarding top-tier technical sales talent in a high-growth environment.Blending technical excellence with strong business acumen and value-selling methodologies to achieve and exceed business targets.Establishing and maintaining trust-based relationships with key technical stakeholders at both customer and partner organizations.Developing and maintaining deep hands-on technical expertise, with the ability to confidently lead architectural discussions across a complex, highly technical product portfolio.Nice to have:Strong technical skills gained in the security or identity space (e.g., Workforce Identity, CIAM, PAM, ISPM, Federation/SSO, Active Directory, LDAP, or modern API-first security).A strong understanding of competitor product offerings in the IAM, IGA, and cybersecurity markets.Okta’s Top 5 Core Leadership Competencies are part of the deeply ingrained principles that guide all of our company’s actions. They also align strongly to our cultural cornerstones, our Okta values: love our customers, empower our people, never stop innovating, act with integrity, and maintain transparency.It’s our expectation that our managers and leaders embody these core competencies:Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals. Demonstrates Self-Awareness (EQ): Using a combination of feedback and reflection to gain productive insight into personal strengths and weaknesses.Develops Talent: Developing people to meet both their career goals and the organization’s goals.Drives Results: Consistently achieving results, even under tough circumstances.Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies.What we offer:Generous stock in the companyCar allowanceExceptional onboarding program for all new employees, plus continued learning and development through Okta University and specific accreditations. Team off-sites, events and networking opportunities. The chance to join a company growing 40% year over year.#LI-Hybrid#LI-JP3Below is the annual On Target Compensation (OTE) range for candidates located in the United Kingdom. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/gbr.The OTE range for this position for candidates located in the United Kingdom is between:163,000—220,000 GBPThe Okta ExperienceSupporting Your Well-BeingDriving Social Impact Developing Talent and Fostering Connection + CommunityWe are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

The Hardware team at Hudson River Trading (HRT) creates high performance compute engines using FPGA and ASIC technology to drive low latency trading decisions on global markets. We build custom solutions across the spectrum of speed and smarts: from bespoke circuits to world-class machine learning accelerators.These high performance designs require even higher performance verification. We are looking for experienced Design Verification (DV) engineers who are skilled at writing testbenches and building verification environments to exercise complex HDL. Our ideal candidate is not only an ace tester, but a practicing toolsmith. You know the EDA landscape and want to be part of a team actively working to rethink, redesign, and surpass the status quo. For example, members of our team are active maintainers of popular open source projects such as Slang, Verilator, and Cocotb.FPGA and ASIC verification is part of an innovative, growing team at HRT which is integral to the success of our trading. You can expect to always be challenged by the ever-changing financial markets as you work to ensure correctness and robustness of our critical hardware in an extremely fast-paced, real-time environment. No financial experience is necessary.ResponsibilitiesCreating testbenches and tests for our hardware platform, leveraging a hybrid open-source/proprietary, highly flexible environmentWriting detailed verification plansQuickly root-cause RTL bugsCollaborating directly with designers for rapid bringup of new projects and debugging of existing designsManaging test suites and continuous integration infrastructureDeveloping and improving open-source and internal toolsQualifications Superb debug and analytical skills Professional experience (2+ years) in RTL functional verification for FPGA or ASICExperience with code and functional coverage collection/analysisExperience with SystemVerilog and industry-standard frameworks such as UVMExperience with PythonComfortable in a Linux environmentFamiliarity with Verilator and/or Cocotb preferredC++ experience is a plusA bachelor’s degree in computer science, electrical engineering, or a related fieldThe estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.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.

Job Title: Business AnalystDepartment: AI & InnovationLocation: LondonWorking Pattern: Hybrid, includes 3 days each week in the officeContract Type: Full time, permanentSalary: Up to £80,000 per annumAt Tes we are on a mission to power schools and enable great teaching worldwide, by delivering EdTech solutions that give educators the tools to succeed. From safeguarding and compliance to staff and pupil management, our innovative and flexible software and services help teachers and school leaders worldwide to provide the best education to millions of children.With more than 13 million educators in our community, combined with our working relationships with 25,000 schools in over 100 countries, we have been making a difference for over 100 years. Role overviewThe AI & Innovation function is a newly formed department, being built from the ground up and tasked with driving practical AI adoption across a business serving over 25,000 schools and 13 million educators. The team is small and technically deep: the Head of AI and Innovation and three Principal Engineers, each holding ownership of a technical pillar of the department’s roadmap. What the team does not yet have is structured capacity for requirements gathering, stakeholder analysis, adoption measurement, or the baseline-and-tracking work every pillar depends on. This role exists to close that gap and turn department pain points into scoped, evidenced opportunities. You will own the measurement framework that proves whether initiatives are actually working, and to be the analytical counterweight to a team of senior engineers and AI specialists. The Business Analyst will work across every function in the business, sit inside a live three-month AI pilot from day one, and directly own the adoption-tracking and measurement pillar of the AI Hub’s own roadmap, and work with the Department Head to manage the departmental operations across all implementations and projects.Key ResponsibilitiesDiscovery, Requirements & Opportunity ManagementOwn and maintain the Pain Points & Issues Register and the Opportunity Map as living documents, updating them as new discovery and stakeholder conversations happen, not as one-off deliverablesConvert department pain points into scoped, evidenced opportunities using the department's value and feasibility frameworkWrite PRDs, user stories and acceptance criteria for AI-enabled tools and features, working directly with the Principal Engineer who owns the relevant technical pillarProvide analysis support to whichever part of the department needs it most at a given time, consistent with the department's pull-based operating modelOversee the project management environment and dashboards of the departmentMeasurement, Baselines & ROIOwn the tracking of how far each AI initiative has spread, from individual use through to genuine cross-department adoption, not just whether it existsPrototype automation frameworks with the engineering team to streamline this work and remove manual workloads wherever possibleCapture baselines before any AI initiative goes live, and measure impact against those baselines afterwardsSupport the measurement framework for the current three-month AI pilot, including consumption, adoption and outcome-based impact across the pilot cohort, and then follow-on phasesWork with the Department Head to manage project & departmental budgets and ensure metrics are live and initiatives remain commercially viable, and track ROI vs SpendCo-design the ROI and value-measurement framework with Finance and produce regular reporting for the Head of AI, the CFO and senior leadershipGovernance, Risk & Compliance SupportSupport the department's cost, impact and threat risk-tagging discipline on every initiative before it is built, not after - although we will measure estimates vs actuals after deliverySupport Data Protection Impact Assessments for AI initiatives that process personal or sensitive data, working with Legal and Information SecurityMaintain the use-case inventory and risk tiering underpinning the department's governance frameworkDocument AI processes, decisions and outcomes for audit and knowledge-management purposesStakeholder Engagement & EnablementAct as the analytical bridge between the AI function and the wider business, translating pain points into requirements and technical capability into language the business can act onSupport the training and enablement programme, including scheduling, completion tracking and maintaining training contentSupport vendor and tool evaluation, including due diligence on cost, capability and data-handling termsMaintain the department's internal knowledge assets, including the prompt library structure and the connector and systems registryWhat will you need to succeed?ExperienceHas worked as a Business Analyst, Product Analyst or similar in a technology, SaaS or data-driven environment, including having built a measurement or ROI framework rather than only inheriting oneHas written PRDs, user stories and acceptance criteria that engineers have genuinely built fromHas worked directly with senior technical staff as a genuine analytical partner, not purely a coordinatorHas operated in an environment where the roadmap was still being defined, not handed down completeKnowledgeWorking knowledge of AI and machine learning concepts, sufficient to have an informed conversation with engineers about what a given capability can and cannot realistically doFamiliarity with data protection principles, including UK GDPR and Data Protection Impact Assessments, sufficient to recognise when a proposed initiative needs a formal compliance checkComfortable working with data from multiple systems, including CRM, support, product usage and financial data, to identify patterns and prioritiseAwareness of agile and product ways of working, including backlog management and stage-gated deliverySkillsStrong structured-thinking and synthesis skills, able to turn a room of stakeholders describing loosely related problems into a small number of clearly scoped opportunitiesConfident, clear written and verbal communication, comfortable presenting to senior leadership including the CFOComfortable with genuine ambiguity in a small, fast-moving team, rather than a settled process to followProficient with data analysis and visualisation tools such as Excel, Looker or Power BI, plus a working ability to use AI tools themselves, for example Claude for spreadsheets and drafting, as part of daily practiceQualificationsDegree-level education or equivalent demonstrable experience; no specific subject requirementA portfolio of real requirements and measurement work matters more for this role than a specific qualification, though a numerate or research-based background is a helpful indicator of the analytical rigour the role needsWhat do you get in return? 25 days annual leave rising to 30 5% pension after probationState of the art offices Access to a range of benefits via My Benefits World Free eye care cover Life Assurance Cycle to Work Scheme EAP (Employee assistance programme) Quarterly Tes Socials Access to an extensive Learning and Development menu Who are Tes?Tes is a global Edtech leader, on a mission to empower schools and educators to deliver impactful, inspiring learning experiences worldwide. We understand the unique challenges faced by schools, and our ecosystem is specifically designed to address these needs head-on.Our intuitive technology streamlines complex tasks, enhances learning experiences, and alleviates the administrative burdens that often overwhelm schools.By working closely with schools, we provide up-to-date resources, expert guidance, and a technology ecosystem dedicated to innovation and excellence in education. Whether simplifying administrative workflows, creating dynamic classrooms, or advancing professional development, Tes is the trusted partner for schools worldwide.Join the hundreds of schools already benefiting from the Tes ecosystem. Together, we empower educators to achieve more, ensuring every student thrives in a supportive, well-managed learning environment.With Tes, excellence in education is not just a goal - it's a sustainable and rewarding reality. For more information about Tes, our products, and our team, visit: .PayTypeSalaryHiringMinRate60000HiringMaxRate80000

When our values align, there's no limit to what we can achieve.At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.An Executive Director within Parexel HEOR Consulting is responsible for a group or service line while being held accountable for successful execution of multiple projects and client satisfaction. The Executive Director supports the development of the strategy for HEOR for the short, mid and long term. The Executive Director plays an active role in the implementation and identification of AI in HEOR. An executive director has specific subject matter expertise supporting the development and delivery of Parexel HEOR Consulting services.Key Accountabilities:Project ExecutionMonitors profitability of multiple projects through active involvement in the preparation of project plans and management of project budgets.Prevents and resolves issues with revenue recognition.Works within a team environment or individually based on project needs.Provides guidance to project team members and acts as a mentor to junior staff.Works within broad project guidelines and leads issue and conflict resolution.Prioritizes own workload and prioritizes the workload of the project team in order to achieve the project scope and objectives.Capitalizes on opportunities to improve project efficiency, results or team performance and proactively acts.Leverages information from previous projects or other client work to efficiently complete assigned project activities as well as facilitate business decisions.Produces quality work that meets the expectations of Parexel HEOR Consulting and the client. Reviews the work of colleagues for content and quality to ensure the expectations of the client and are met.Manages project engagements as a project lead (small or large).Interacts with the assigned Project Financial Analyst (PFA) to ensure accurate financial management and for general project support.Follows all required Business Operating Process (BOPs) for pre-initiate, initiate, execution, close and monitoring of projects.Staff ManagementActively manages performance including typical HR activities for direct reports (i.e. performance management forms, salary actions, bonuses, scorecards).Provides input on staff to appropriate Senior Management Team Members.Provides applicable guidance and support to staff for staff to succeed and achieve key metrics. Holds staff accountable to key metrics.Facilitates staff development plans and coordinates with project staffing to ensure that staff is utilized completely and appropriately.Coordinates with project staffing to provide staff with opportunities to expand skill setsRewards staff appropriately.Provides leadership, coaching, mentoring, feedback and role modeling to managers and extended staff to ensure quality and accuracy of services as well as achievement of key metrics.Communicates and champions organizational vision and values.Regularly communicates with staff to assure effective two-way information flow (i.e. business updates, staff interests, issues, and/or concerns).Monitors engagement/morale of direct reports.Provides feedback on succession planning to align individual staff capabilities with the current and future needs of the organization.Assures Parexel policies and procedures are communicated to line personnel.Consulting Activities and Relationship ManagementPlans and delivers services and solutions which result in clients expressing satisfaction with service provided and builds relationships which result in additional business or referrals.Identifies opportunities for follow-on business or changes in project scope and exploits the opportunities with Parexel HEOR Consulting management and account management.Provides a full range of technical and/or business consulting services across multiple disciplines of services including representing clients to regulatory agencies.Acts as a trusted advisor to clients, often on issues that lack precedent or are not clearly defined. Acts as a loaned executive for a client when required.Completes and delegates project activities in a timely manner with an understanding of issues which may impact project profitability and client satisfaction.Facilitates resolutions to possible problems or conflicts within the project team and/or the client. Provides guidance as needed to colleagues on appropriate methods of executing project activities.Develops and implements business solutions addressing specific client needs using expertise, best practices and knowledge of the client’s business and key industry drivers.Demonstrated ability to interact professionally at multiple levels including senior and executive management within a client organization.Business DevelopmentActively prospects and leverages new business opportunities with client and industry contacts in collaboration with Account Management.Presents information about Parexel HEOR Consulting service offerings reflecting the organization’s capability to support client needs.Delivers customized sales presentations focused on the client’s needs. Actively engaged in bid defense meetings when needed.Generates new or repeat business due to personal name recognition or history of client satisfaction and/or relationship.Leverages rainmaking skills resulting in new and repeat business for Parexel. Is responsible for constant monitoring of his/her “A” list and is expected to have continued contact with both existing and future potential clients.Participates in project scoping calls and proposal preparation.Delivers sales presentations and participates in bid defense meetings when needed.Actively participates in account planning for key clients.Participates and develops strategy and is involved in the decision-making process for Parexel Access Consulting (HEOR, PMA, and AA).Parexel-Related ResponsibilitiesMeets established metrics as specified in scorecard on an annual basis.Completes basic job-related responsibilities, including timesheets, expense reports, maintenance of CVs, projectThought Leadership Staying Abreast of AI in HEOR: Keeping up-to-date with the latest developments and trends in AI applied to HEOR, including machine learning, natural language processing, data analytics, and predictive modeling, to facilitate evidence generation, cost-effectiveness analyses, and health policy recommendations.Driving Innovative Research: Leveraging your expertise in AI and HEOR to drive innovative research projects that enhance Parexel's capabilities and provide strategic insights to clients. Collaborating with cross-functional teams to design, develop, and implement groundbreaking methodologies and frameworks.Thought Leadership: Actively participating in industry conferences, symposiums, and webinars to present your research and share insights on the integration of AI within the HEOR landscape. Establishing yourself as an opinion leader and contributing to prestigious scientific journals and publications, thereby enhancing Parexel's reputation as a thought leader in the field.Internal Collaboration: Collaborating with internal teams (e.g., data scientists, biostatisticians, health economists) to develop and implement new AI-driven methodologies and analytical tools. Providing guidance and mentorship to team members, sharing your knowledge and contributing to Parexel's internal educational initiatives.External Engagement: Seeking opportunities to represent Parexel externally, engaging with healthcare organizations, regulatory bodies, academic institutions, and industry thought leaders, showcasing Parexel's thought leadership in AI-driven HEOR research.Presenting research findings and insights at internal seminars, brown bag sessions, and departmental meetings.Engaging with senior leadership and participating in cross-functional initiatives, enhancing your exposure and influence on decision-making processes.Collaborating with Parexel's Global Centers of Excellence, contributing to white papers, opinion pieces, and educational materials, further solidifying your position as a thought leader.Participation in industry conferences and scientific symposiums, presenting research findings, and discussing Parexel's AI-driven HEOR expertise.Contributing to industry publications, peer-reviewed journals, and social media platforms to share your insights and position Parexel as a frontrunner in AI-driven HEOR research.Building strategic partnerships with key opinion leaders and influential organizations to enhance Parexel's industry visibility and foster collaborations.Required Competencies:Influencing OthersClient FocusNetworkingResults OrientationBusiness AnalysisInterpersonal CommunicationTeamwork & CollaborationSolving Business ProblemsHolding People AccountableOperational LeadershipStrategic Business ThinkingeLeading ChangeSkills:Develops high growth and profitable business through strategic planning, business development and implementation of high-level service delivery within service line or group.Responsible for planning function for individual service line or group. This includes budgets, strategic planning, and forecasting.Accountable for all activity and financial outcomes within assigned area, including revenue generation, client satisfaction and service delivery.Responsible for service line decisions and seeks senior level input for high level business decisions (issues).At least fluent vocal and written English.Knowledge and Experience:Numerous years’ experience in the life sciences or consulting industries with many years of experience managing direct reports, directing teams and projects.10+ years management experience.15+ years general experience in the field.Education:Minimum of a Bachelor’s Degree in a Scientific or Technical Discipline, Advanced Degree (MSc, PhD, MD) preferred.SummaryLocation: United Kingdom-London-Gridiron-Remote; Ireland-RemoteType: Full time

Company DescriptionInforma is a leading academic publishing, business intelligence, knowledge and events business, creating unique content and connectivity for customers all over the world. It is listed on the London Stock Exchange and is a member of the FTSE 100.Taylor & Francis Group operates globally and produces high quality, peer reviewed books and journals. We produce unique, trusted content by expert authors, spreading knowledge and promoting discovery globally. We aim to broaden thinking and advance understanding, providing academics and professionals with a platform to share ideas and realize their individual potential.Our purpose is to foster human progress through knowledge. We strongly believe that this requires us to encourage and examine different ideas and voices, so that any work that meets our exacting levels of quality deserves to be included in our publications. This requires open minds, the opportunity for robust debate, and the courage to defend perspectives that stand up to scrutiny, even if they conflict with our personal beliefs or values. Because that’s the only way to find the best obtainable version of the truth and, ultimately, foster human progress. If you agree, then we’d love to hear from you.Job DescriptionAs the Senior Pricing Manager you will play a key role in driving revenue growth and optimising pricing strategies across the Academic and Corporate divisions. Your responsibilities will include managing pricing strategies for subscription journals, transformative agreements, and eBooks. This position demands a strategic thinker with expertise in value-based pricing, future-oriented business models, and a strong bias towards automation and AI-driven approaches.This is a dynamic and proactive role that requires energy, drive, and a commitment to fostering a culture of accelerated delivery. You will be instrumental in driving cross-functional alignment and delivering impactful results, utilising influence rather than direct authority to make a meaningful contribution to organisational growth.You will work closely with the Global Director of Pricing to achieve a wide range of organisational objectives. Key Areas of ResponsibilityPricing Strategy DevelopmentLead Strategic Pricing Engagements: Independently manage and execute multiple strategic pricing projects, ensuring timely delivery and exceptional outcomes. This includes annual pricing updates, pricing for new propositions, defining packaging strategies, and developing innovative business models.Own and Deliver Implementation: Take full ownership of implementing pricing strategies, ensuring seamless execution and alignment with business objectives while driving operational excellence.Lead and Communicate Change: Effectively engage with and influence stakeholders at all levels, fostering collaboration and driving change through clear communication and strategic leadership.Define and Track Key Metrics: Own the definition and automated tracking of key pricing metrics for the Academic Division to ensure data-driven decision-making and continuous performance improvement.Team Management: Oversee the Strategic Pricing Analytics Manager via a dotted line relationship to deliver key Academic and Corporate pricing deliverables.Risk Mitigation: Identify risks associated with strategic initiatives and develop contingency plans to address them.Strategic Alignment: Drive alignment and execution of strategic initiatives across diverse teams and departments.Workflow AutomationOwnership of AI-Driven Pricing Models: Develop and implement advanced AI algorithms to optimise pricing strategies across the Academic Division. Identify and integrate machine learning tools to predict market trends and customer behaviours.Automation Leadership: Design and deploy automated systems for pricing updates, performance tracking, and competitive benchmarking. Drive efficiency by reducing manual processes and enabling real-time decision-making.Stakeholder Management & CommunicationRelationship Building: Build and maintain strong relationships with internal stakeholders across all organisational levels to foster collaboration and alignment.Cross-Functional Collaboration: Work closely with Editorial, Commercial, and Marketing teams to ensure pricing strategies align with product positioning and market trends.Facilitation: Organise strategic planning sessions, workshops, and cross-functional meetings to drive consensus and actionable outcomes.Executive Communication: Deliver regular status reports, reviews, and briefings to the Executive Leadership Team, ensuring transparency, alignment, and informed decision-making.QualificationsSkillsPricing Expertise: Proven ability to develop and implement impactful pricing strategies that drive revenue growth and profitability.Strategic Leadership: Demonstrated ability to lead and collaborate across diverse teams and departments, driving alignment and execution of strategic initiatives without direct authority.Analytical Mastery: Advanced analytical skills such as SQL, Python, and R, along with data visualisation tools like Tableau and Power BI, to extract and analyse data and execute pricing strategies, ensuring seamless implementation and impactful results.AI and Automation First: Proven bias towards advanced AI technologies and automation tools to streamline processes, optimise pricing strategies, and drive efficient, data-driven decision-making.Exceptional Communication: Ability to manage stakeholders at all levels with the ability to articulate complex pricing concepts clearly and concisely.Global Mindset: Ability to navigate international markets, cross-cultural dynamics, and global pricing challenges.ExperienceExperience of leading the development and implementation of new pricing strategies in the data information services industryDemonstrable strategic pricing background either via a niche strategy consultancy or inhouse Strategic Pricing TeamProven experience in the definition and automation of pricing performance metrics and competitive benchmarkingDemonstrated success in executing global initiatives across multiple countries and regionsExperience within the pricing function of an Academic Publisher is highly desirable but not essentialAdditional Information Please note you must have the right to live and work in the UK for this role Location: We believe that great things happen when people connect face-to-face. That's why we work in-person with each other, or with customers and partners, three days a week or more. When you’re not spending time together in one of our offices or other workplaces – like at conference – you get the flexibility and support to work from home or remotely.The successful candidate will be able to utilise our balanced working model. We ask that candidates live within a commutable distance of our office in London Blackfriars to ensure that as a balanced worker they can make it to our office locations to collaborate as required. There is an expectation for a minimum of 3 days per week in-person time. There will also be occasions where you will be required to travel to our head office in Oxfordshire.What we offer in return: An excellent work/life balance with a fantastic, flexible working culture25 days annual leave per year plus a day off for your birthday 3 additional discretionary days off during the holiday season at the end of the year 4 paid volunteering days each year Company funded single cover private medical insurance Employee assistance programme – offering 24/7 well-being support Share Match – Plan that matches every share purchased with two free shares. Pension scheme Life assurance, plus optical and medical careBeing Yourself at Taylor & FrancisIf you’re excited about working with Taylor & Francis to foster human progress through knowledge, we invite you to apply even if your existing skills and experience don’t fit every item listed above. At Taylor & Francis, we are at our best and most successful when colleagues can be themselves and make a contribution regardless of their identity or background. As a colleague, you will have the opportunity to further innovate and develop in areas that you are passionate about. Our goal is to empower you with the resources, incentives, and flexibility you need to enjoy success at work and to live a healthy, balanced life. Taylor & Francis is proud to be an Equal Opportunity Employer. We believe in and value diversity of people and thought, fostering a supportive and inclusive environment where all colleagues can learn and succeed as their true selves. Taylor & Francis recruits, develops, and retains colleagues without regard to any protected personal characteristics or other non-merit based factor. If you have a disability, or face another barrier, and would like to request an adjustment to assist your participation in the hiring process and/or in the advertised position, please contact Liz Southwick. Your request will be reviewed and considered in the strictest confidence.We genuinely care about our colleagues, promoting work-life balance, wellbeing, and flexible working. We believe that the skills and experience you bring to Taylor & Francis are invaluable. We want you to have the opportunity to develop your abilities, and to innovate and develop in areas which you are passionate about. To find out more about our business and the great career opportunities please go to our Careers Site: Or better yet check out our LinkedIn ‘Life’ Page, highlighting our accomplishments, employees, and company culture. It’s also a good way of meeting our recruitment team, who will be happy to advise you on your journey here at T&F. We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't fit all the requirements. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Informa is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, citizenship, or other protected characteristics under local law. This role may also be available on a flexible working or part time basis – please ask the Talent Acquisition team for more information. To find out more about our business and the great career opportunities please go to our Careers Site: SummaryType: Full-timeFunction: Strategy/PlanningExperience level: Mid-Senior LevelIndustry: Publishing

Machine Learning ConsultantPermanent or ContractQuant Capital is urgently looking for Data Scientist / Machine Learning Consultant to join our high profile client.My client is a well known financial software house, providing platforms and consultancy to the financial and insurance space.The Machine Learning Consultant is responsible for performing predictive analytics and build models across credit risk, fraud, collections and marketing. The successful Data Scientist will be part of a team that will define the Big Data strategy for my client and will lead or participate in R&D projects in the digital space and identify new tools, methods and opportunities to profitably grow the business.Building relationships with business SMEs and stakeholders to understand their business requirements.Logical and physical modelling.Extract data from business (who don’t always know where it is or what it does)Present data from various unclean sourcesCommunicating innovative data-centric solutions and providing strong architectural designs to develop a workable solution.Machine Learning ConsultancyDocumentingProvide expertise on Data management capabilities.Analyse and model data concepts across the enterprise.Consulting on the necessary data architecture, elaborating the requirements, business KPIs and other reporting or analytical outputs.Data Science Consultants / Machine Learning MUST have: (the below also gives you an idea of stack)Implementation of machine learning-based solutions for corporate clientsDelivery of ongoing/ production solutions, not simply one-off analysesConsultancy skills, including ability to shape ambiguous requirements into clearly defined projectsProfessional experience of more than 2 yearsAbility to client face and consultIdeally a PhD masters okStrong understanding of probability and statisticsMachine learning (experience of techniques such as linear regression, logistic regression, boosting, kNN)PythonExperience of one or more common frameworks (e.g. Caffe, Theano, Torch, Tensorflow, scikit-learn)The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about. My client is based near Wimbledon, LondonIf this sounds of interest then please apply directly.Machine Learning, Data Science, python, Bubble visualisation Linux AWS Cloud Systems Infrastructure Linux Sys Admin Financial Tech STartup – Linux, Scripting, Automation, Kernel, NoSQL DEVOPS Python Development Operations