About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on About the role As a Model Behavior Architect on the Function Calling team, you are at the forefront of defining and measuring how LLMs use tools, invoke functions, and orchestrate complex agentic workflows. We are looking for people who have built a career in engineering, machine learning, and large language models and are experts in model evaluation, policy writing, and creating eval pipelines for tool use and function calling. Your role is to work hand-in-hand with our Science team to define what 'good' looks like for function calling-from accurate parameter selection and schema adherence to multi-step tool orchestration, error recovery, and agentic reasoning. Join us if you are passionate about tackling cutting-edge, open-ended research challenges and transforming your insights into best-in-class models. What you will do Interact with models to identify where function calling and tool use behaviour can be improved Gather internal and external feedback on tool-calling behaviour to scope areas for improvement Design and implement evals, data guidelines, data generation, and synthetic tool environments and APIs Identify and fix edge case behaviours, such as malformed arguments, hallucinated functions, and incorrect tool selection-through rigorous testing Develop robust evaluation pipelines for the function-calling capabilities of our model candidates Work collaboratively with AI Scientists About you You have a deep understanding of either 1) API design, structured outputs, and schema specification (e.g. JSON Schema), 2) engineering and code behavior, 3) LLM agents at work, including reasoning, planning, and multi-step tool use You have prior knowledge in training and optimising model behaviour You are an expert at building robust evaluations You thrive in dynamic and technically complex environments You have a track record of delivering innovative, out-of-the-box solutions to address real-world constraints What we offer Competitive salary and equity (stock-options) Health insurance Transportation allowance Sport allowance Meal vouchers Generous parental leave policy Visa sponsorship By applying, you agree to our Applicant Privacy Policy.
25/05/2026
Full time
About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life. We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise as well as personal needs. Our offerings include Le Chat, La Plateforme, Mistral Code and Mistral Compute - a suite that brings frontier intelligence to end-users. We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on About the role As a Model Behavior Architect on the Function Calling team, you are at the forefront of defining and measuring how LLMs use tools, invoke functions, and orchestrate complex agentic workflows. We are looking for people who have built a career in engineering, machine learning, and large language models and are experts in model evaluation, policy writing, and creating eval pipelines for tool use and function calling. Your role is to work hand-in-hand with our Science team to define what 'good' looks like for function calling-from accurate parameter selection and schema adherence to multi-step tool orchestration, error recovery, and agentic reasoning. Join us if you are passionate about tackling cutting-edge, open-ended research challenges and transforming your insights into best-in-class models. What you will do Interact with models to identify where function calling and tool use behaviour can be improved Gather internal and external feedback on tool-calling behaviour to scope areas for improvement Design and implement evals, data guidelines, data generation, and synthetic tool environments and APIs Identify and fix edge case behaviours, such as malformed arguments, hallucinated functions, and incorrect tool selection-through rigorous testing Develop robust evaluation pipelines for the function-calling capabilities of our model candidates Work collaboratively with AI Scientists About you You have a deep understanding of either 1) API design, structured outputs, and schema specification (e.g. JSON Schema), 2) engineering and code behavior, 3) LLM agents at work, including reasoning, planning, and multi-step tool use You have prior knowledge in training and optimising model behaviour You are an expert at building robust evaluations You thrive in dynamic and technically complex environments You have a track record of delivering innovative, out-of-the-box solutions to address real-world constraints What we offer Competitive salary and equity (stock-options) Health insurance Transportation allowance Sport allowance Meal vouchers Generous parental leave policy Visa sponsorship By applying, you agree to our Applicant Privacy Policy.
Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Senior Product Engineer, you will play a critical role in making Ash an even more engaging and effective product. You will work in a cross functional Product team containing traditional product, design, and software development expertise as well as machine learning/AI specialists. Your work will span the entire stack end-to-end, from developing new features in the app, to behind the scenes automations and integrations to make Ash a more powerful tool. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders that care about the work being done and want to be part of shaping what Ash is, not just complete what's in a ticket. Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, Next.js/Typescript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require. About you: Thrive building mobile and web applications zero-to-one. Working with different technologies across the whole vertical, including frontend, databases, and any relevant infrastructure. Driven by building a world-class product with a world-class team, want to own what you build, and you're comfortable building and throwing away code. Strong software engineering experience in multiple general-purpose programming languages and with modern technologies and architectures. Experience working in a fast paced environment, working at lightning speed to ship fast. Self starter and a keen learner with an ability to pick up new tools, languages, and concepts on the job. We don't need you to be a Machine Learning Engineer, but having an interest in AI helps! Key responsibilities: Collaborate within our core Engineering team, Product Manager and Designer to quickly design, build, and launch new features in our app, taking ownership of the whole stack. We encourage everyone to be comfortable working in all parts of our stack, which includes the app (Dart/Flutter), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python). Elevate user experience by continually refining app reliability, performance, and polish. Rapidly investigate, diagnose, and resolve bugs to ensure product stability. Taking initiative to independently prototype new features based on customer feedback and your own product intuitions. What we offer: A chance to join a passionate tight-knit team working on something to change the world Competitive compensation (top of personal market) Travel between our NYC / London offices Usual startup perks like free lunch and coffee in office + generous learning budget We cover your personal therapy
25/05/2026
Full time
Slingshot AI Slingshot AI is the team behind Ash, the first AI designed for mental health. Our mission is to make support more accessible and help people change their lives in the ways they want. We're building a world-class team by empowering individuals with the autonomy, flexibility, and support they need to do their best work. We dream big, iterate fast, and care deeply. If that sounds like you, we'd love to hear from you. Our team spans machine learning, product, engineering, conversational design, clinical, growth, and operations, with offices in both New York City and London. We're a well-funded Series A company, having raised $93M from Andreessen Horowitz, Radical Ventures, Forerunner Ventures, plus top-tier tech investors involved in ElevenLabs, Captions, Shopify, Plaid, Notion, Canva, Twitch, Airtable, and many others. The role This is a chance to join a passionate team leveraging cutting-edge AI to improve mental health access globally. As a Senior Product Engineer, you will play a critical role in making Ash an even more engaging and effective product. You will work in a cross functional Product team containing traditional product, design, and software development expertise as well as machine learning/AI specialists. Your work will span the entire stack end-to-end, from developing new features in the app, to behind the scenes automations and integrations to make Ash a more powerful tool. As a core member of a small but highly skilled team, we expect you to act as an owner and to care passionately about delivering value to our users and ultimately to make people's lives better. We are looking for builders that care about the work being done and want to be part of shaping what Ash is, not just complete what's in a ticket. Our tech stack uses Dart/Flutter for the app, Kotlin for core backend services, Python for our ML work, Next.js/Typescript for internal tooling, as well as Rust for low level media streaming. We use gRPC and GCP (Kubernetes, Cloud Run) as our primary cloud provider. You're not required to be an expert in all of these tools, but we would like you to come with a learning mindset and to not be afraid of getting your hands dirty with whatever tool the job might require. About you: Thrive building mobile and web applications zero-to-one. Working with different technologies across the whole vertical, including frontend, databases, and any relevant infrastructure. Driven by building a world-class product with a world-class team, want to own what you build, and you're comfortable building and throwing away code. Strong software engineering experience in multiple general-purpose programming languages and with modern technologies and architectures. Experience working in a fast paced environment, working at lightning speed to ship fast. Self starter and a keen learner with an ability to pick up new tools, languages, and concepts on the job. We don't need you to be a Machine Learning Engineer, but having an interest in AI helps! Key responsibilities: Collaborate within our core Engineering team, Product Manager and Designer to quickly design, build, and launch new features in our app, taking ownership of the whole stack. We encourage everyone to be comfortable working in all parts of our stack, which includes the app (Dart/Flutter), internal tooling (Next.js/TypeScript), and ML scripts for evaluation, data processing, and model training (Python). Elevate user experience by continually refining app reliability, performance, and polish. Rapidly investigate, diagnose, and resolve bugs to ensure product stability. Taking initiative to independently prototype new features based on customer feedback and your own product intuitions. What we offer: A chance to join a passionate tight-knit team working on something to change the world Competitive compensation (top of personal market) Travel between our NYC / London offices Usual startup perks like free lunch and coffee in office + generous learning budget We cover your personal therapy
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
25/05/2026
Full time
Choose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Your locationYour locationIndustriesChoose a partner with intimate knowledge of your industry and first-hand experience of defining its future.Birmingham, London, Bristol, Newcastle, Manchester# Data EngineerThe Data Platforms team is part of the Insights and Data Global Practice and has seen strong growth and continued success across a variety of projects and sectors. Data Platforms is the home of the Data Engineers, Platform Engineers, Solutions Architects and Business Analysts who are focused on driving our customers digital and data transformation journey using the modern cloud platforms.We specialise on using the latest frameworks, reference architectures and technologies using AWS, Azure and GCP along with various data platforms like Databricks, Snowflake, Quantexa, Palantir, SAS. The Role You Are Considering As a Data Engineer, you will be an integral part of our team dedicated to building scalable and secure data platforms. You will leverage your expertise to design, develop, and implement data warehouses, data lakehouses, and AI/ML models that fuel our data-driven operations. Design and build high-performance data pipelines: to extract, transform, and load data into Cloud Data Lake Storage and other Cloud services. Develop and maintain secure data warehouses and data lakehouses: Implement data models, data quality checks, and governance practices to ensure reliable and accurate data. Implement ETL/ELT Processes: Develop Extract, Transform, Load (ETL) or Extract, Load, Transform (ELT) workflows to seamlessly move data from source systems to Data Warehouses, Data Lakes, and Lake Houses using Open Source and cloud tools.In addition to these core skills, you should have specialist experience in one or more of the following technologies Azure Databricks Design and build high-performance data pipelines: Utilize Databricks and Apache Spark to extract, transform, and load data into Azure Data Lake Storage and other Azure services. Experience of Databricks ML and Azure ML to develop predictive models and drive business insights. Proven expertise in Databricks, Apache Spark, and data pipeline development and strong understanding of data warehousing concepts and practices. Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage, Databricks and Azure Data Factory. Azure Data Engineer Associate and Databricks Certified Data Engineer Professional AWS Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong experience with modern programming languages such as Python, Java, Scala & Pyspark. Expertise in Data Storage Technologies: In-depth knowledge of Data Warehouse, Database technologies, and Big Data Eco-system technologies such as AWS Redshift, AWS RDS, and Hadoop. Experience with AWS Data Lakes: Proven experience working with AWS data lakes on AWS S3 to store and process both structured and unstructured data sets Build and deploy AI/ML models: Integrate Machine Learning into data pipelines, leveraging ML to develop predictive models and drive business insights. Monitor and optimize data pipelines and infrastructure: Analyze performance metrics, identify bottlenecks, and implement optimizations for efficiency and scalability. Collaborate with cross-functional teams: Work closely with business analysts, data scientists, and DevOps engineers to ensure successful data platform implementations. Stay ahead of the curve: Continuously learn and adapt to the evolving landscape of big data technologies and best practices with a focus on how AI can support you in your delivery work Minimum 10+ years of experience as a Data Engineer or similar role. Proven expertise in the technologies below, and data pipeline development and strong understanding of data warehousing concepts and practices. Excellent problem-solving and analytical skills and strong communication and teamwork skills.Security Clearance: To be successfully appointed to this role, must be eligible to obtain Security Check (SC)clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements.Throughout the recruitment process, you will be asked questions about your security clearance eligibility such as, but not limited to, country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; therefore, you may be asked about your citizenship in the application process.Hybrid working: The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home; noting that you will be unable to work at home 100% of the time.If you are successfully offered this position, you will go through a series of pre-employment checks, including: identity, nationality (single or dual) or immigration status, employment history going back 3 continuous years, and unspent criminal record check (known as Disclosure and Barring Service) What we'll offer you You will be encouraged to have a positive work-life balance. Our hybrid-first way of working means we embed hybrid working in all that we do and make flexible working arrangements the day-to-day reality for our people. All UK employees are eligible to request flexible working arrangements.You will be empowered to explore, innovate, and progress. You will benefit from Capgemini's 'learning for life' mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard Manage Mentor, Cybersecurity qualifications and much more. Why we're different At Capgemini, we help organisations across the world become more agile, more competitive, and more successful. Smart, tailored, often ground-breaking technical solutions to complex problems are the norm. But so, too, is a culture that's as collaborative as it is forward thinking. Working closely with each other, and with our clients, we get under the skin of businesses and to the heart of their goals. You will too. Capgemini is proud to represent nearly 130 nationalities and its cultural diversity. Our holistic definition of diversity extends beyond gender, gender identity, sexual orientation, disability, ethnicity, race, age, and religion. Capgemini views diversity as everything that makes us who we are as an organization, including our social background, our experiences in life and work, our communication styles and even our personality. These dimensions contribute to the type of diversity we value the most: diversity of thought.Experience levelExperienced ProfessionalsLocationBirmingham, London, Bristol, Newcastle, Manchester
Scrum MasterApplylocations: Farringdontime type: Full timeposted on: Posted 19 Days Agojob requisition id: R112564 Scrum Master Excited to coach, facilitate, and ignite high performing teams? Do you enjoy fostering collaboration, continuous improvement, and a culture where every sprint counts? About the team: LexisNexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the role: We are looking for a Scrum Master to enable high-performing, autonomous product engineering teams. This role sits within the Engineering organization and is embedded with one or two cross-functional squads.The Scrum Master is accountable for how teams work - facilitating effective Agile practices, improving flow and predictability, and fostering a culture of continuous improvement and psychological safety. As a servant-leader and delivery partner, the Scrum Master works closely with Engineering Managers, Product Managers, and Product Operations (including Technical Program Managers) to ensure portfolio priorities translate into realistic, sustainable execution at the team level. Key Responsibilities: Team-Level Delivery and Flow Serve as Scrum Master for one or more Agile teams, ensuring effective adoption of Scrum and Agile practices (Scrum, Kanban, or Scrumban as appropriate). Own team-level delivery governance and predictability, ensuring clear goals, realistic planning, and transparent signals on scope, risks, and progress. Ensure work is visible, prioritized, and flowing through the system (e.g., backlogs, boards, WIP limits). Help teams create realistic sprint goals or flow targets and meet commitments sustainably. Define and maintain team-level delivery metrics (e.g., throughput, cycle time, defect trends; DORA metrics where appropriate). Identify and make visible impediments impacting throughput or quality - both within and outside the team - and drive resolution in partnership with Engineering, Product, TPMs, and Product Operations. Agile Facilitation and Coaching Facilitate Agile ceremonies including Sprint Planning, Daily Stand-Ups, Reviews, Retrospectives, and Backlog Refinement. Coach teams on Agile principles, self-organization, and continuous improvement. Foster a culture of trust, accountability, psychological safety, and constructive challenge. Support Product Owners and Product Managers in effective backlog management and value-based slicing of work. Use data and experiments to evolve ways of working rather than enforcing a process for its own sake. Metrics, Insights, and Continuous Improvement Use quantitative and qualitative insights to identify bottlenecks, risks, and improvement opportunities. Facilitate outcome-focused retrospectives and ensure follow-through on improvement actions. Provide clear, concise status, risk, and dependency signals to stakeholders, framed in terms of business impact. Where applicable, create and maintain delivery dashboards and queries in Agile tooling (e.g., Azure DevOps). Cross-Team and Stakeholder Partnership Own cross-team coordination for work involving supported teams, ensuring dependencies, sequencing, and risks are understood and managed collaboratively. Partner with Product Operations and TPMs by providing accurate team- and cluster-level plans, capacity, and risk signals. Represent team realities in planning and prioritization forums. Collaborate with Design, Security, Data, and other functions to improve end-to-end delivery. Contribute to the evolution of Agile practices as the organization scales. What Success Looks Like Teams operate with clear goals, healthy cadence, and a sustainable pace. Delivery is predictable at the team and local cross-team level, with risks raised early and transparently. Teams regularly identify and implement meaningful improvements to how they work. Agile ceremonies are purposeful, engaging, and outcome-focused. Product, Engineering, TPMs, and Product Operations view the Scrum Master as a trusted delivery partner - not an extra layer of process. Requirements: Required Skills - Hands-on experience as a Scrum Master or Agile delivery lead supporting software engineering teams. Strong understanding of Agile frameworks (Scrum, Kanban) and modern engineering practices. Proven facilitation and coaching skills; able to navigate conflict and drive clear outcomes. Comfort with delivery metrics and basis analytics; ability to translate data into decisions. Excellent written and verbal communication skills; able to adapt messaging for engineers, product leaders, and executives. Ability to influence without authority and build strong cross-functional partnerships. Preferred Skills - Experience working alongside Product Operations and Technical Program Managers in a portfolio or platform environment. Experience supporting multiple teams or operating in scaled Agile environments. Familiarity with Agile tooling (e.g., Aha, Azure DevOps). Background in software development, QA, or a related technical discipline. Agile certifications (e.g., CSM, PSM, KMP) are a plus but not a substitute for practical experience. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We 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. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy, and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. 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-. 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.
25/05/2026
Full time
Scrum MasterApplylocations: Farringdontime type: Full timeposted on: Posted 19 Days Agojob requisition id: R112564 Scrum Master Excited to coach, facilitate, and ignite high performing teams? Do you enjoy fostering collaboration, continuous improvement, and a culture where every sprint counts? About the team: LexisNexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the role: We are looking for a Scrum Master to enable high-performing, autonomous product engineering teams. This role sits within the Engineering organization and is embedded with one or two cross-functional squads.The Scrum Master is accountable for how teams work - facilitating effective Agile practices, improving flow and predictability, and fostering a culture of continuous improvement and psychological safety. As a servant-leader and delivery partner, the Scrum Master works closely with Engineering Managers, Product Managers, and Product Operations (including Technical Program Managers) to ensure portfolio priorities translate into realistic, sustainable execution at the team level. Key Responsibilities: Team-Level Delivery and Flow Serve as Scrum Master for one or more Agile teams, ensuring effective adoption of Scrum and Agile practices (Scrum, Kanban, or Scrumban as appropriate). Own team-level delivery governance and predictability, ensuring clear goals, realistic planning, and transparent signals on scope, risks, and progress. Ensure work is visible, prioritized, and flowing through the system (e.g., backlogs, boards, WIP limits). Help teams create realistic sprint goals or flow targets and meet commitments sustainably. Define and maintain team-level delivery metrics (e.g., throughput, cycle time, defect trends; DORA metrics where appropriate). Identify and make visible impediments impacting throughput or quality - both within and outside the team - and drive resolution in partnership with Engineering, Product, TPMs, and Product Operations. Agile Facilitation and Coaching Facilitate Agile ceremonies including Sprint Planning, Daily Stand-Ups, Reviews, Retrospectives, and Backlog Refinement. Coach teams on Agile principles, self-organization, and continuous improvement. Foster a culture of trust, accountability, psychological safety, and constructive challenge. Support Product Owners and Product Managers in effective backlog management and value-based slicing of work. Use data and experiments to evolve ways of working rather than enforcing a process for its own sake. Metrics, Insights, and Continuous Improvement Use quantitative and qualitative insights to identify bottlenecks, risks, and improvement opportunities. Facilitate outcome-focused retrospectives and ensure follow-through on improvement actions. Provide clear, concise status, risk, and dependency signals to stakeholders, framed in terms of business impact. Where applicable, create and maintain delivery dashboards and queries in Agile tooling (e.g., Azure DevOps). Cross-Team and Stakeholder Partnership Own cross-team coordination for work involving supported teams, ensuring dependencies, sequencing, and risks are understood and managed collaboratively. Partner with Product Operations and TPMs by providing accurate team- and cluster-level plans, capacity, and risk signals. Represent team realities in planning and prioritization forums. Collaborate with Design, Security, Data, and other functions to improve end-to-end delivery. Contribute to the evolution of Agile practices as the organization scales. What Success Looks Like Teams operate with clear goals, healthy cadence, and a sustainable pace. Delivery is predictable at the team and local cross-team level, with risks raised early and transparently. Teams regularly identify and implement meaningful improvements to how they work. Agile ceremonies are purposeful, engaging, and outcome-focused. Product, Engineering, TPMs, and Product Operations view the Scrum Master as a trusted delivery partner - not an extra layer of process. Requirements: Required Skills - Hands-on experience as a Scrum Master or Agile delivery lead supporting software engineering teams. Strong understanding of Agile frameworks (Scrum, Kanban) and modern engineering practices. Proven facilitation and coaching skills; able to navigate conflict and drive clear outcomes. Comfort with delivery metrics and basis analytics; ability to translate data into decisions. Excellent written and verbal communication skills; able to adapt messaging for engineers, product leaders, and executives. Ability to influence without authority and build strong cross-functional partnerships. Preferred Skills - Experience working alongside Product Operations and Technical Program Managers in a portfolio or platform environment. Experience supporting multiple teams or operating in scaled Agile environments. Familiarity with Agile tooling (e.g., Aha, Azure DevOps). Background in software development, QA, or a related technical discipline. Agile certifications (e.g., CSM, PSM, KMP) are a plus but not a substitute for practical experience. Why Join Us? Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply. Work in a way that works for you We 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. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. Working for you We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days. Health screening, eye care vouchers, and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme. Travel Season ticket loan. Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity, and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you. Access to employee resource groups with dedicated time to volunteer. Access to extensive learning and development resources Access to the employee discounts scheme via Perks at Work About the business- At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavors to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy, and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results. 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-. 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.
Artificial Intelligence & Automation Data Engineer Location: United Kingdom Ref: REF4155A Job Function: Information Technology Responsibilities Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate advice on new solutions that can improve the effectiveness of organisation. Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group Manage and distribute workloads to the D&A team members, balancing the key strengths of the D&A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results. Take leading role in the growth of Team and support the development of D&A and Divisional team members through coaching and mentoring Data Develop Data, AI and automation solutions. Test, deploy, and maintain intelligent systems. Collaborate with data scientists and other engineers to integrate AI into broader system architecture. Stay current with AI trends and suggest improvements to existing systems and workflows. Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions. Developing and managing data platform; data management; and tooling and access controls for all business and technical users Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria. Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users Implement and regularly review existing data management policies to make sure that they are up to date and effective, revising and improving as necessary Collaborate across the Smiths divisions to discuss any data problems, new or additional requirements and support project specification development. Support the creation of Data Analytic Models and Data Visualisations (eg PowerBI) within the Azure platform. Own and govern the code promotion process for Analytic Models and Visualisation code sets into the QA and production environments. Organise, store and analyse data as efficiently as possible, while always upholding agreed-upon security standards Manage PowerBI Licences, Gateways and Microsoft visual studio installed in Smiths. Develop documentation and training material for applications. Evaluate, design, implement and support new requirements or database changes using associated business requirements and design documents. Design and develop new analytics / models using the new data sets to expedite data analysis and reporting. Provide technical oversight for integrating new technology or new initiatives into existing data standards and structures. Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure the integrity, confidentiality, and security of all developed solutions. Establish rules and procedures for data sharing with upper management, external stakeholders etc. Create and enforce policies for effective data management. Support others in the daily use of data systems and ensure adherence to legal and company standards. Provide regular progress reports to your manager on BAU activities and progress against project deliverables. Regularly provide accurate availability/capacity reports for the D&A team to assist with project planning and future recruitment needs. Act as a mentor to new super users within the Divisions using PowerBI technology. Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Proficient at digesting and analysing large amounts of data. Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in working with offshore and onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc). Good knowledge of SQL language and simple analysis techniques to profile data Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data models Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group General understanding of PaaS Concepts - ideally in MS-Azure Cloud BI experience could be an asset Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc ).
25/05/2026
Full time
Artificial Intelligence & Automation Data Engineer Location: United Kingdom Ref: REF4155A Job Function: Information Technology Responsibilities Establish, manage, and evolve the company's Data, AI and Automation processes, support senior management in developing and achieving the organisations strategic plan as well as the development and delivery of the data, AI and Automation capabilities. Oversee the development and use of data, AI and Automation systems, driving the adoption of a centralised standard of these solutions across Smiths Group and its divisions, actively promoting CoDe. capabilities. Solutioning innovative ways to organise, AI and Automation processes through the creation and validation of algorithms, neural networks, and other machine learning techniques. Provide leadership on the implementation of security & authorisations best practice for accessing AI and Automation solutions. Work proactively with internal and key business partners that contribute to the delivery of analytic, AI models through projects and BAU, exploring new analytics and dashboard tools and where appropriate advice on new solutions that can improve the effectiveness of organisation. Help to solution, implement and maintain operating models that optimise onshore and offshore resourcing to create the maximum value for Smiths Group Manage and distribute workloads to the D&A team members, balancing the key strengths of the D&A team along with career aspirations, providing direction and day-to-day oversight, striving to deliver outstanding results. Take leading role in the growth of Team and support the development of D&A and Divisional team members through coaching and mentoring Data Develop Data, AI and automation solutions. Test, deploy, and maintain intelligent systems. Collaborate with data scientists and other engineers to integrate AI into broader system architecture. Stay current with AI trends and suggest improvements to existing systems and workflows. Create a Roadmap that delivers the vision and embeds capabilities to ensure master/reference data, data quality management, data cataloguing, data governance, traceability are established and governed as a foundational pillar, ensuring the use of trusted high-quality data across BIS and all divisions. Developing and managing data platform; data management; and tooling and access controls for all business and technical users Provide business focused data-related guidance and thought leadership across data architecture, data governance and data integration, and the associated technologies Ensure all D&A deliveries are performance assessed and can execute within response times within business acceptable criteria. Lead on the development and maintenance of dashboards, forms, and other tools to facilitate the interaction with data management systems for non-technical users Implement and regularly review existing data management policies to make sure that they are up to date and effective, revising and improving as necessary Collaborate across the Smiths divisions to discuss any data problems, new or additional requirements and support project specification development. Support the creation of Data Analytic Models and Data Visualisations (eg PowerBI) within the Azure platform. Own and govern the code promotion process for Analytic Models and Visualisation code sets into the QA and production environments. Organise, store and analyse data as efficiently as possible, while always upholding agreed-upon security standards Manage PowerBI Licences, Gateways and Microsoft visual studio installed in Smiths. Develop documentation and training material for applications. Evaluate, design, implement and support new requirements or database changes using associated business requirements and design documents. Design and develop new analytics / models using the new data sets to expedite data analysis and reporting. Provide technical oversight for integrating new technology or new initiatives into existing data standards and structures. Monitor and analyse information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.) Ensure the integrity, confidentiality, and security of all developed solutions. Establish rules and procedures for data sharing with upper management, external stakeholders etc. Create and enforce policies for effective data management. Support others in the daily use of data systems and ensure adherence to legal and company standards. Provide regular progress reports to your manager on BAU activities and progress against project deliverables. Regularly provide accurate availability/capacity reports for the D&A team to assist with project planning and future recruitment needs. Act as a mentor to new super users within the Divisions using PowerBI technology. Lead the weekly team meeting, owning the agenda and encouraging engagement from the D&A team Qualifications Educated to degree level or equivalent. Experience with machine learning, deep learning, NLP, and computer vision. Proficiency in Python, Java, and R Strong knowledge of AI frameworks such as TensorFlow or PyTorch. Experience in Data Science techniques and methodologies. Excellent problem-solving skills and ability to work in a team environment. Thorough and proven understanding of the principles of data security, management, and administration Proficient at digesting and analysing large amounts of data. Excellent understanding of data administration and management functions (collection, analysis, distribution etc.) Experience in working with offshore and onshore support model. Experience in working with information technology. Experience in BI tools (PowerBi, OBIEE, Tableau, QlickView etc). Good knowledge of SQL language and simple analysis techniques to profile data Technical experience and knowledge in On-Premise and Public Cloud Data Services focused on: Database architecture, ETL, Data Mining, Business Intelligence, Big Data, Data Governance, Data quality, Data Cleansing Experience with Microsoft Azure a plus: Azure SQL Database, Analysis Services, Databricks, Data Lake, Logic Apps and Data Factory Understanding of Big Data technologies (Hadoop, Spark) Able to create rich visualisations that appropriately represent the underlying datasets. Review and align the reporting attributes against the Enterprise and conceptual data models Business functional knowledge - able to work with Business SMEs to relate the process to the underlying data. ERP experience and implementations (nice to have) Excellent organisational and project management skills Passionate and curious about new technology and the tech industry Excellent verbal and written communication skills with the ability to interact at all levels within the Smiths Group General understanding of PaaS Concepts - ideally in MS-Azure Cloud BI experience could be an asset Diversity & Inclusion We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, colour, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation - including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career's website (Careers - Smiths Group plc ).
We're seeking an entrepreneurial full-stack engineer who will work closely with the founders to architect, build and scale Wexler's agentic systems for document analysis, powered by our state-of-art fact extraction engine. As a Software Engineer, you will work closely with the founding technical team and contribute to the technical architecture of our product and delivery of our ambitious product roadmap. You'll play a key role in shaping the culture of our Technical organisation and will learn alongside expert Software and Machine Learning Engineers. You will rapidly take on more responsibility and have a clear path to a leadership position. Please note we have two open positions for this role. Responsibilities: Architect, build and scale full-stack applications that power Wexler's agentic systems for document analysis Develop customer-facing features, internal tooling and DevOps infrastructure to support our growing platform Collaborate with AI engineers to integrate LLM capabilities into production-ready software systems Build robust, scalable backend systems using modern technologies and cloud infrastructure Create intuitive user interfaces that allow legal professionals to interact seamlessly with AI-powered tools Contribute to technical architecture decisions and help establish engineering best practices Work directly with customers to understand their needs and rapidly iterate on solutions Technical Must-Haves: Strong experience with Node.js and TypeScript for backend development Strong Python experience for AI system development Proficiency with PostgreSQL for database design and optimisation Hands-on experience with AWS cloud services and infrastructure Full-stack development experience with modern frontend frameworks Experience building scalable, production-grade systems Understanding of DevOps practices and CI/CD pipelines You will be: A builder with a track record of shipping new product features or architectures in a fast-paced environment Driven by building fantastic product experiences - you can put yourself in the users shoes and understand their struggles Fascinated by AI and excited to build products at the bleeding edge of this once in a lifetime platform shift (but you don't need to have any prior AI experience) Full-stack and happy to get stuck in where needed most, be it working on customer-facing features, internal tooling or improving our DevOps Excited to work in a startup environment . You're excited by the idea of speaking with customers in the morning and shipping features to solve their problems in the afternoon. You're ok with priorities changing and you're comfortable with risk Someone who values working with people who are low ego, ambitious and pragmatic Comfortable figuring out how to build things you haven't built before Excited to work in-person from our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person What We Offer: Competitive salary and significant equity Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI Budget for learning and professional growth Bi-annual team retreats Work closely with experienced founders and a team of AI scientists and engineers About the opportunity: Legal AI has caught the attention of VCs and the wider tech world, but the reality is adoption with users is low in the enterprise, with roughly 20% of lawyers using AI tech. Of those lawyers, most are transactional or contract lawyers and they use generalist platforms that look to aggregate the tasks lawyers do but do not go deep into specific workflows. That's where Wexler is different. We are a 'scalpel' rather than a 'Swiss Army knife', meaning we go deep into the workflows that can decide how a legal case is won. We have extremely positive feedback from lawyers, and we have an ambitious roadmap of features to expand our coverage while retaining the forensic detail that makes our product great. Some topics you'll think about: Delightful 'agentic' product experiences: Legal AI has largely revolved around AI assistants. we are building workflows that solve specific tasks for expert users. You will be obsessed with defining and building these features. Scale: architecting systems that scale with our commercial growth, delivering each user a delightful, performant and magical experience. Security : our customers treat their clients with the highest degree of sensitivity and security. The software we build meets the highest standards of security, ever evolving in the world of AI. Note: If you think you don't quite fit the bill but you'd still be interested in chatting for a different role, get in touch.
25/05/2026
Full time
We're seeking an entrepreneurial full-stack engineer who will work closely with the founders to architect, build and scale Wexler's agentic systems for document analysis, powered by our state-of-art fact extraction engine. As a Software Engineer, you will work closely with the founding technical team and contribute to the technical architecture of our product and delivery of our ambitious product roadmap. You'll play a key role in shaping the culture of our Technical organisation and will learn alongside expert Software and Machine Learning Engineers. You will rapidly take on more responsibility and have a clear path to a leadership position. Please note we have two open positions for this role. Responsibilities: Architect, build and scale full-stack applications that power Wexler's agentic systems for document analysis Develop customer-facing features, internal tooling and DevOps infrastructure to support our growing platform Collaborate with AI engineers to integrate LLM capabilities into production-ready software systems Build robust, scalable backend systems using modern technologies and cloud infrastructure Create intuitive user interfaces that allow legal professionals to interact seamlessly with AI-powered tools Contribute to technical architecture decisions and help establish engineering best practices Work directly with customers to understand their needs and rapidly iterate on solutions Technical Must-Haves: Strong experience with Node.js and TypeScript for backend development Strong Python experience for AI system development Proficiency with PostgreSQL for database design and optimisation Hands-on experience with AWS cloud services and infrastructure Full-stack development experience with modern frontend frameworks Experience building scalable, production-grade systems Understanding of DevOps practices and CI/CD pipelines You will be: A builder with a track record of shipping new product features or architectures in a fast-paced environment Driven by building fantastic product experiences - you can put yourself in the users shoes and understand their struggles Fascinated by AI and excited to build products at the bleeding edge of this once in a lifetime platform shift (but you don't need to have any prior AI experience) Full-stack and happy to get stuck in where needed most, be it working on customer-facing features, internal tooling or improving our DevOps Excited to work in a startup environment . You're excited by the idea of speaking with customers in the morning and shipping features to solve their problems in the afternoon. You're ok with priorities changing and you're comfortable with risk Someone who values working with people who are low ego, ambitious and pragmatic Comfortable figuring out how to build things you haven't built before Excited to work in-person from our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person What We Offer: Competitive salary and significant equity Huge autonomy and ownership. You will be designing and building the core systems that power AI for some of the most expert users in AI Budget for learning and professional growth Bi-annual team retreats Work closely with experienced founders and a team of AI scientists and engineers About the opportunity: Legal AI has caught the attention of VCs and the wider tech world, but the reality is adoption with users is low in the enterprise, with roughly 20% of lawyers using AI tech. Of those lawyers, most are transactional or contract lawyers and they use generalist platforms that look to aggregate the tasks lawyers do but do not go deep into specific workflows. That's where Wexler is different. We are a 'scalpel' rather than a 'Swiss Army knife', meaning we go deep into the workflows that can decide how a legal case is won. We have extremely positive feedback from lawyers, and we have an ambitious roadmap of features to expand our coverage while retaining the forensic detail that makes our product great. Some topics you'll think about: Delightful 'agentic' product experiences: Legal AI has largely revolved around AI assistants. we are building workflows that solve specific tasks for expert users. You will be obsessed with defining and building these features. Scale: architecting systems that scale with our commercial growth, delivering each user a delightful, performant and magical experience. Security : our customers treat their clients with the highest degree of sensitivity and security. The software we build meets the highest standards of security, ever evolving in the world of AI. Note: If you think you don't quite fit the bill but you'd still be interested in chatting for a different role, get in touch.
Global Banking & Markets, Investment Banking, Capital Solutions Group, Fund Finance Strats, Associate/Vice President, London location_on London, Greater London, England, United Kingdom Capital Solutions Group Goldman Sachs operates at the fulcrum of one of the most important structural trends in finance: the convergence of public and private markets. We combine the global advisory franchise, a leading origination business, and an investing platform that deploys capital across liquid and alternative asset classes. Our Capital Solutions Group is a comprehensive suite of our financing, origination, structuring, and risk management solutions. The depth and breadth of our relationships, enriched by the velocity of our deal flow, provide clients unique insights to maximize value and unlock opportunity. Our integrated structure is built to provide comprehensive, tailored solutions that propel both our issuing and investing clients forward. What we do The Fund Finance Strats Team sits within Global Banking & Markets (GBM) and is responsible for modelling and pricing of structured trades, as well as building risk management tools for businesses and clients using cutting edge quantitative, machine learning, and other AI techniques. The business focuses on providing customized financing solutions to clients, which covers a wide range of collateral asset classes such as private credit and equity, capital calls or specialty assets, in the forms of Loans, Repurchase Agreements (Repos), Asset-Backed Securities and Derivatives. This role offers a unique opportunity to work within this to deliver tailored solutions to our clients, across a range of asset classes, employing an innovative and quantitative skillset. Your Impact Strats play a critical role in deal structuring, pricing, execution and risk management for the Fund Finance business. This is a highly visible platform to put quantitative skills and knowledge in use to make a direct impact on business growth. You will gain familiarity with different asset classes & risk factors while working on various trades and projects and build a broad foundation of product knowledge. Responsibilities Create and extend pricing models, marking and calibration methodologies for structured products and derivatives. Use machine learning, data science and AI techniques for pricing and analysis of private market assets. Provide analysis for new transactions, understand key risks and drive commercial outcomes using data and quantitative methods. Build end to end solutions from data collection to automated actions for business risk management. Who We Look For Strong quantitative and coding skills with a desire to develop commercial mindset. Solid work ethics, team oriented and high levels of motivation. Ability to work in fast-paced environment and time-sensitive situations. Effective oral and written communication skills, which can be tailored to both technical and business audiences. Basic Qualifications Bachelors degree or above and excellent academic record in a relevant quantitative field such as Mathematics, Physics, Computer Science or Engineering. Strong maths and quantitative skills. Knowledge of Stochastic Calculus and Derivative Pricing or a Machine Learning / Data Science / Applied AI background. Experience in object-oriented programming with a language such as Python, Java or C++. Knowledge of Credit / Equity markets and products with an understanding of Interest Rates and FX risk management is preferred. Experience in a front office Strats or similar role is a plus. Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). Child Care & Family Care We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer.
25/05/2026
Full time
Global Banking & Markets, Investment Banking, Capital Solutions Group, Fund Finance Strats, Associate/Vice President, London location_on London, Greater London, England, United Kingdom Capital Solutions Group Goldman Sachs operates at the fulcrum of one of the most important structural trends in finance: the convergence of public and private markets. We combine the global advisory franchise, a leading origination business, and an investing platform that deploys capital across liquid and alternative asset classes. Our Capital Solutions Group is a comprehensive suite of our financing, origination, structuring, and risk management solutions. The depth and breadth of our relationships, enriched by the velocity of our deal flow, provide clients unique insights to maximize value and unlock opportunity. Our integrated structure is built to provide comprehensive, tailored solutions that propel both our issuing and investing clients forward. What we do The Fund Finance Strats Team sits within Global Banking & Markets (GBM) and is responsible for modelling and pricing of structured trades, as well as building risk management tools for businesses and clients using cutting edge quantitative, machine learning, and other AI techniques. The business focuses on providing customized financing solutions to clients, which covers a wide range of collateral asset classes such as private credit and equity, capital calls or specialty assets, in the forms of Loans, Repurchase Agreements (Repos), Asset-Backed Securities and Derivatives. This role offers a unique opportunity to work within this to deliver tailored solutions to our clients, across a range of asset classes, employing an innovative and quantitative skillset. Your Impact Strats play a critical role in deal structuring, pricing, execution and risk management for the Fund Finance business. This is a highly visible platform to put quantitative skills and knowledge in use to make a direct impact on business growth. You will gain familiarity with different asset classes & risk factors while working on various trades and projects and build a broad foundation of product knowledge. Responsibilities Create and extend pricing models, marking and calibration methodologies for structured products and derivatives. Use machine learning, data science and AI techniques for pricing and analysis of private market assets. Provide analysis for new transactions, understand key risks and drive commercial outcomes using data and quantitative methods. Build end to end solutions from data collection to automated actions for business risk management. Who We Look For Strong quantitative and coding skills with a desire to develop commercial mindset. Solid work ethics, team oriented and high levels of motivation. Ability to work in fast-paced environment and time-sensitive situations. Effective oral and written communication skills, which can be tailored to both technical and business audiences. Basic Qualifications Bachelors degree or above and excellent academic record in a relevant quantitative field such as Mathematics, Physics, Computer Science or Engineering. Strong maths and quantitative skills. Knowledge of Stochastic Calculus and Derivative Pricing or a Machine Learning / Data Science / Applied AI background. Experience in object-oriented programming with a language such as Python, Java or C++. Knowledge of Credit / Equity markets and products with an understanding of Interest Rates and FX risk management is preferred. Experience in a front office Strats or similar role is a plus. Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short-term disability, long-term disability, life, accidental death, labor accident and business travel accident insurance. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state-of-the-art on-site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on-site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre-approved amount). Child Care & Family Care We offer on-site child care centers that provide full-time and emergency back-up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class-leading benefits our firm has to offer.
Closing Date for Application:Thursday 04/06/2026Genuit Group is a UK based manufacturing group investing in data, automation and AI to improve how we operate and make decisions. We're seeking an AI & Automation Engineer to help design and embed practical, scalable AI enabled and automated solutions across the organisation.The roleThis is a hands on engineering role focused on delivery, learning and experimentation. You'll apply proven automation techniques today while helping the business progressively adopt modern AI, Copilot and agent based approaches as part of an evolving data and technology landscape.Key responsibilitiesDesign, build and support automation and AI enabled solutionsDevelop and maintain RPA and traditional automation workflowsBuild APIs and integrations to connect systems and enable automationWork with modern data platforms to source, transform and serve high quality dataEmbed data governance, quality and lineage into automated solutionsSupport responsible, ethical and transparent use of AIWork closely with technical and non technical stakeholders to translate business problems into working solutionsWhat we're looking forExperience or hands on exposure to RPA or automation technologiesWorking knowledge of data warehousing concepts and data pipelinesExperience integrating systems via APIsFamiliarity with Microsoft automation and data platforms (e.g. Fabric, Data Factory, Copilot)Interest in AI, machine learning or agent based approaches (commercial or experimental)Comfortable operating in a manufacturing or operational environmentLocation - Leeds or DoncasterOur BenefitsEntitled to 25 days holidayHoliday purchase schemePension contribution matched up to 8%Save as you earn Genuit Sharesave schemeHere at the Genuit Group we recognise and develop the contribution our people make to the Group's success and are committed to attracting talent from the widest pool. We have a role to play in making the built environment more sustainable, building a low carbon business ourselves as well as delivering sustainable solutions at scale.
25/05/2026
Full time
Closing Date for Application:Thursday 04/06/2026Genuit Group is a UK based manufacturing group investing in data, automation and AI to improve how we operate and make decisions. We're seeking an AI & Automation Engineer to help design and embed practical, scalable AI enabled and automated solutions across the organisation.The roleThis is a hands on engineering role focused on delivery, learning and experimentation. You'll apply proven automation techniques today while helping the business progressively adopt modern AI, Copilot and agent based approaches as part of an evolving data and technology landscape.Key responsibilitiesDesign, build and support automation and AI enabled solutionsDevelop and maintain RPA and traditional automation workflowsBuild APIs and integrations to connect systems and enable automationWork with modern data platforms to source, transform and serve high quality dataEmbed data governance, quality and lineage into automated solutionsSupport responsible, ethical and transparent use of AIWork closely with technical and non technical stakeholders to translate business problems into working solutionsWhat we're looking forExperience or hands on exposure to RPA or automation technologiesWorking knowledge of data warehousing concepts and data pipelinesExperience integrating systems via APIsFamiliarity with Microsoft automation and data platforms (e.g. Fabric, Data Factory, Copilot)Interest in AI, machine learning or agent based approaches (commercial or experimental)Comfortable operating in a manufacturing or operational environmentLocation - Leeds or DoncasterOur BenefitsEntitled to 25 days holidayHoliday purchase schemePension contribution matched up to 8%Save as you earn Genuit Sharesave schemeHere at the Genuit Group we recognise and develop the contribution our people make to the Group's success and are committed to attracting talent from the widest pool. We have a role to play in making the built environment more sustainable, building a low carbon business ourselves as well as delivering sustainable solutions at scale.
Requisition ID11252-Posted - Years of Experience (1) -Technology- Where (1) Go Reply is the Reply Group company specialising in workload migration to Google Cloud Platform and then supports clients to optimise these workloads. Our collaborative approach allows our clients to enjoy benefits such as rapid innovation and development cycles. Our focus areas are both application workload migration and data migrations into platforms engineered on GCP. Go Reply is a Google Cloud Premier Partner with over 100 GCP engineers across our European practice. Go Reply holds Google awarded specialisations in Infrastructure and Machine Learning and are also a Google Cloud Platform Managed Service Partner, an award from Google to endorse our credentials in managed services. Role Overview We are seeking a technically hands on and client focused Cloud Engineer to build, deploy, manage, and optimise cloud native solutions across a growing client portfolio. Working closely with Cloud Architects and delivery teams, you will translate architectural designs into production ready solutions on Google Cloud Platform. The role spans infrastructure, data, and AI workloads, with a primary focus on engineering while also contributing to solution design discussions and supporting client engagements with technical expertise. You will deliver end to end solutions, from building data pipelines and deploying AI/ML workloads to provisioning infrastructure and automating deployments through CI/CD. This is a London based role. Responsibilities Implement, deploy, and maintain Google Cloud infrastructure using Infrastructure as Code (primarily Terraform), ensuring repeatable and version controlled environments Build and manage containerised workloads using Docker, GKE, and Cloud Run, alongside production grade CI/CD pipelines Design, build, and maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer Implement and support AI/ML platforms on Google Cloud, including Vertex AI, Model Garden, and Gemini based tooling, contributing to Agentic AI solutions Support cloud migration and modernisation initiatives using lift and shift, re platforming, or re architecting approaches Apply security best practices, including IAM, VPC networking, encryption, and compliance controls to meet client and regulatory requirements Participate in client engagements such as discovery sessions, technical workshops, and progress reviews, communicating effectively with diverse stakeholders Collaborate with architects, delivery leads, and engineering teams, contributing to best practices, knowledge sharing, and supporting junior team development About the Candidate Minimum of 3+ years' hands on experience in a Cloud Engineering role, ideally within a consultancy or professional services environment Holds at least one Google Cloud certification (e.g. Professional Cloud Architect or Professional Cloud Developer) and proficiency in at least one programming/scripting language (Python, Go, or Shell) Proven experience building and deploying solutions on Google Cloud Platform across infrastructure, data, and application domains Strong hands on experience with Infrastructure as Code (Terraform), containerisation (Docker, Kubernetes/GKE), and CI/CD tools (e.g. Jenkins, Cloud Build, GitHub Actions, GoCD) Solid understanding of cloud networking and security fundamentals, including VPCs, IAM, firewall rules, encryption, and access management within GCP Working knowledge of data engineering on Google Cloud, including pipelines and analytical platforms using BigQuery, Composer, Dataflow, Dataproc, and Pub/Sub Familiarity with AI/ML workloads on GCP, including exposure to Vertex AI, BigQuery ML, Model Garden, or Gemini based tooling Strong communication and collaboration skills, with a proactive, growth oriented mindset, ability to navigate ambiguity, deliver in fast paced environments Eligible for UK Government SC level security clearance Equal Opportunities Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
25/05/2026
Full time
Requisition ID11252-Posted - Years of Experience (1) -Technology- Where (1) Go Reply is the Reply Group company specialising in workload migration to Google Cloud Platform and then supports clients to optimise these workloads. Our collaborative approach allows our clients to enjoy benefits such as rapid innovation and development cycles. Our focus areas are both application workload migration and data migrations into platforms engineered on GCP. Go Reply is a Google Cloud Premier Partner with over 100 GCP engineers across our European practice. Go Reply holds Google awarded specialisations in Infrastructure and Machine Learning and are also a Google Cloud Platform Managed Service Partner, an award from Google to endorse our credentials in managed services. Role Overview We are seeking a technically hands on and client focused Cloud Engineer to build, deploy, manage, and optimise cloud native solutions across a growing client portfolio. Working closely with Cloud Architects and delivery teams, you will translate architectural designs into production ready solutions on Google Cloud Platform. The role spans infrastructure, data, and AI workloads, with a primary focus on engineering while also contributing to solution design discussions and supporting client engagements with technical expertise. You will deliver end to end solutions, from building data pipelines and deploying AI/ML workloads to provisioning infrastructure and automating deployments through CI/CD. This is a London based role. Responsibilities Implement, deploy, and maintain Google Cloud infrastructure using Infrastructure as Code (primarily Terraform), ensuring repeatable and version controlled environments Build and manage containerised workloads using Docker, GKE, and Cloud Run, alongside production grade CI/CD pipelines Design, build, and maintain data and analytics platforms using services such as BigQuery, Dataflow, Dataproc, Pub/Sub, and Cloud Composer Implement and support AI/ML platforms on Google Cloud, including Vertex AI, Model Garden, and Gemini based tooling, contributing to Agentic AI solutions Support cloud migration and modernisation initiatives using lift and shift, re platforming, or re architecting approaches Apply security best practices, including IAM, VPC networking, encryption, and compliance controls to meet client and regulatory requirements Participate in client engagements such as discovery sessions, technical workshops, and progress reviews, communicating effectively with diverse stakeholders Collaborate with architects, delivery leads, and engineering teams, contributing to best practices, knowledge sharing, and supporting junior team development About the Candidate Minimum of 3+ years' hands on experience in a Cloud Engineering role, ideally within a consultancy or professional services environment Holds at least one Google Cloud certification (e.g. Professional Cloud Architect or Professional Cloud Developer) and proficiency in at least one programming/scripting language (Python, Go, or Shell) Proven experience building and deploying solutions on Google Cloud Platform across infrastructure, data, and application domains Strong hands on experience with Infrastructure as Code (Terraform), containerisation (Docker, Kubernetes/GKE), and CI/CD tools (e.g. Jenkins, Cloud Build, GitHub Actions, GoCD) Solid understanding of cloud networking and security fundamentals, including VPCs, IAM, firewall rules, encryption, and access management within GCP Working knowledge of data engineering on Google Cloud, including pipelines and analytical platforms using BigQuery, Composer, Dataflow, Dataproc, and Pub/Sub Familiarity with AI/ML workloads on GCP, including exposure to Vertex AI, BigQuery ML, Model Garden, or Gemini based tooling Strong communication and collaboration skills, with a proactive, growth oriented mindset, ability to navigate ambiguity, deliver in fast paced environments Eligible for UK Government SC level security clearance Equal Opportunities Reply is an Equal Opportunities Employer and committed to embracing diversity in the workplace. We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type regardless of age, sexual orientation, gender, identity, pregnancy, religion, nationality, ethnic origin, disability, medical history, skin colour, marital status or parental status or any other characteristic protected by the Law. Reply is committed to making sure that our selection methods are fair to everyone. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.
Compensation: GBP 85000 - GBP 115000 - yearly Company Description Wise 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. We're looking for a Data Science Lead to join our AML Risk team in London. This role is a unique opportunity to work on building out the lead Data Science team and machine learning based technical solutions in the AML Risk team, which owns AML detection across all of the Wise licenses. This is an exciting opportunity to develop the program in a global company. Your work will allow Wise to keep our customers safe and making sure we can keep our ecosystem free of bad actors in a scalable way. What you build will have a direct impact on Wise's mission and millions of our customers. About the Role: In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be making sure the AML Risk Data Science team is well equipped and working on cutting-edge technology to sustainably support Wise's growing customer, transaction and product space. You will be stepping into an already functioning, but growing product team. Here's how you'll be contributing Developing efficient and effective AML detection controls using a mixture of unsupervised, semi supervised and supervised learning with GenAI Creating frameworks to prove controls coverage at a regional level Developing technologies to serve Wise's diverse international user base Building a team of high performing specialists Working with product managers and engineering leads to understand staffing requirements Hiring specialists Mentoring more junior members of the team on technical and non-technical skillsets Performance Testing and Optimisation Evaluating our AML systems against internal and external benchmarks Developing decisioning layers to find optimal trade-offs between precision and recall Providing data-driven insights on potential outcomes under various scenarios Operational Process Development Collaborating with operational teams to refine processes, ensuring effective feedback integration into our automation systems Designing and managing projects that utilise excess operational capacity, such as manual data labelling for model improvement Creating systems which provide in-depth insight to investigators on red flags and typologies present on profiles/transactions Deployment and Implementation Packaging algorithms into deployable libraries/objects and transitioning them from staging to production environments Implementing and maintaining scheduled processes for data gathering and model retraining using automated pipelines Maintaining production-grade Python services A bit about you: Experience implementing, training, testing and evaluating performance of Machine Learning systems; Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles; Experience with statistical analysis, and ability to produce well-designed experiments; A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; Good communication skills and ability to get the point across to non-technical individuals; Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. Some extra skills that are great (but not essential): Familiarity with automating operational processes via technical solutions, for example Large Language Models Willingness to get hands dirty with operational side by sides to understand their pain points Knowledge and experience within the Financial Crime domain We're people without borders - without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you're passionate about learning new things and keen to join our mission, you'll fit right in. Also, qualifications aren't that important to us. If you've got great experience, and you're great at articulating your thinking, we'd like to hear from you. And because we believe that diverse teams build better products, we'd especially love to hear from you if you're from an under-represented demographic. Additional Information For 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 visitWise.Jobs .
25/05/2026
Full time
Compensation: GBP 85000 - GBP 115000 - yearly Company Description Wise 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. We're looking for a Data Science Lead to join our AML Risk team in London. This role is a unique opportunity to work on building out the lead Data Science team and machine learning based technical solutions in the AML Risk team, which owns AML detection across all of the Wise licenses. This is an exciting opportunity to develop the program in a global company. Your work will allow Wise to keep our customers safe and making sure we can keep our ecosystem free of bad actors in a scalable way. What you build will have a direct impact on Wise's mission and millions of our customers. About the Role: In the Anti-Money Laundering (AML) Risk team we are developing systems which are a mixture of unsupervised and supervised learning, with GenAI to detect and mitigate Financial Crime on a global scale. You will be making sure the AML Risk Data Science team is well equipped and working on cutting-edge technology to sustainably support Wise's growing customer, transaction and product space. You will be stepping into an already functioning, but growing product team. Here's how you'll be contributing Developing efficient and effective AML detection controls using a mixture of unsupervised, semi supervised and supervised learning with GenAI Creating frameworks to prove controls coverage at a regional level Developing technologies to serve Wise's diverse international user base Building a team of high performing specialists Working with product managers and engineering leads to understand staffing requirements Hiring specialists Mentoring more junior members of the team on technical and non-technical skillsets Performance Testing and Optimisation Evaluating our AML systems against internal and external benchmarks Developing decisioning layers to find optimal trade-offs between precision and recall Providing data-driven insights on potential outcomes under various scenarios Operational Process Development Collaborating with operational teams to refine processes, ensuring effective feedback integration into our automation systems Designing and managing projects that utilise excess operational capacity, such as manual data labelling for model improvement Creating systems which provide in-depth insight to investigators on red flags and typologies present on profiles/transactions Deployment and Implementation Packaging algorithms into deployable libraries/objects and transitioning them from staging to production environments Implementing and maintaining scheduled processes for data gathering and model retraining using automated pipelines Maintaining production-grade Python services A bit about you: Experience implementing, training, testing and evaluating performance of Machine Learning systems; Strong Python knowledge. A big plus for proven familiarity and experience with OOP principles; Experience with statistical analysis, and ability to produce well-designed experiments; A strong product mindset with the ability to work independently in a cross-functional and cross-team environment; Good communication skills and ability to get the point across to non-technical individuals; Strong problem solving skills with the ability to help refine problem statements and figure out how to solve them. Some extra skills that are great (but not essential): Familiarity with automating operational processes via technical solutions, for example Large Language Models Willingness to get hands dirty with operational side by sides to understand their pain points Knowledge and experience within the Financial Crime domain We're people without borders - without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you're passionate about learning new things and keen to join our mission, you'll fit right in. Also, qualifications aren't that important to us. If you've got great experience, and you're great at articulating your thinking, we'd like to hear from you. And because we believe that diverse teams build better products, we'd especially love to hear from you if you're from an under-represented demographic. Additional Information For 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 visitWise.Jobs .
At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you-supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique. Benefits Tools and policies to support your work life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Role & Responsibilities As a Senior Data Engineer within Data & Analytics Platforms, you will lead the design and delivery of scalable, reliable data engineering solutions that underpin analytics, data science, and AI use cases across client environments. You will work across modern data platforms, integrations, and pipelines, supporting a wide range of analytical and AI driven projects. This role focuses on building the data foundations required for advanced analytics and AI, working closely with data scientists and client stakeholders to ensure data is accessible, trusted, and fit for purpose. Lead the design and development of robust data pipelines and data platforms to support analytics and AI workloads Build and maintain batch and streaming data solutions, including ingestion, transformation, and orchestration Design appropriate data models using relational, dimensional, or other modelling techniques, selecting approaches based on the requirements of analytics, reporting, and data science use Collaborate across multiple teams and client stakeholders to design and deliver end-to-end data and AI solutions within the wider client technology Work across cloud based data platforms and services (e.g. AWS, Azure, or GCP) Design and deliver data solutions that are functionally correct and fit for purpose, while meeting non-functional requirements such as security, performance, resilience, and maintainability Support and guide junior engineers through technical leadership and mentoring Contribute to platform and engineering standards, best practices, and continuous improvement across engagements Qualifications Required education None Preferred education Bachelor's Degree Required technical and professional expertise Strong experience with Python, SQL, and data engineering frameworks or tools Proven experience designing and delivering data pipelines and data platforms in a professional environment Hands on experience with cloud data services (e.g. Azure Data Factory, Databricks, Synapse, AWS Glue, Redshift, BigQuery, or equivalents) Experience working with relational and/or NoSQL databases Solid understanding of data modelling, integration patterns, and data quality principles Strong problem solving and communication skills, with experience working in multidisciplinary delivery teams Preferred technical and professional experience Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi). Knowledge of data quality and metadata management practices. Understanding of data virtualisation and data federation techniques. Experience with big data technologies (e.g., Hadoop, Spark). Experience supporting analytics, data science, or machine learning use cases Exposure to streaming or event driven architectures (e.g. Kafka or equivalent) Experience with CI/CD, infrastructure as code, or platform automation Background delivering solutions in regulated or security constrained environments such as public sector or financial services Background Check This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). IBM is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
25/05/2026
Full time
At IBM Consulting UK FutureNow, you'll build a career at the forefront of hybrid cloud and AI, working with leading clients across the public and private sectors. You'll collaborate with top industry professionals, gain hands on experience with cutting edge technologies, and deliver solutions that create real business impact. From day one, you'll work on meaningful, high profile programmes that stretch your skills and accelerate your growth. We invest heavily in you-supporting continuous learning, in demand skills development, and long term career progression. You'll thrive in a flexible, inclusive environment that values curiosity, encourages reinvention, and recognises what makes you unique. Benefits Tools and policies to support your work life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group pension plan through salary sacrifice. In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. Role & Responsibilities As a Senior Data Engineer within Data & Analytics Platforms, you will lead the design and delivery of scalable, reliable data engineering solutions that underpin analytics, data science, and AI use cases across client environments. You will work across modern data platforms, integrations, and pipelines, supporting a wide range of analytical and AI driven projects. This role focuses on building the data foundations required for advanced analytics and AI, working closely with data scientists and client stakeholders to ensure data is accessible, trusted, and fit for purpose. Lead the design and development of robust data pipelines and data platforms to support analytics and AI workloads Build and maintain batch and streaming data solutions, including ingestion, transformation, and orchestration Design appropriate data models using relational, dimensional, or other modelling techniques, selecting approaches based on the requirements of analytics, reporting, and data science use Collaborate across multiple teams and client stakeholders to design and deliver end-to-end data and AI solutions within the wider client technology Work across cloud based data platforms and services (e.g. AWS, Azure, or GCP) Design and deliver data solutions that are functionally correct and fit for purpose, while meeting non-functional requirements such as security, performance, resilience, and maintainability Support and guide junior engineers through technical leadership and mentoring Contribute to platform and engineering standards, best practices, and continuous improvement across engagements Qualifications Required education None Preferred education Bachelor's Degree Required technical and professional expertise Strong experience with Python, SQL, and data engineering frameworks or tools Proven experience designing and delivering data pipelines and data platforms in a professional environment Hands on experience with cloud data services (e.g. Azure Data Factory, Databricks, Synapse, AWS Glue, Redshift, BigQuery, or equivalents) Experience working with relational and/or NoSQL databases Solid understanding of data modelling, integration patterns, and data quality principles Strong problem solving and communication skills, with experience working in multidisciplinary delivery teams Preferred technical and professional experience Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi). Knowledge of data quality and metadata management practices. Understanding of data virtualisation and data federation techniques. Experience with big data technologies (e.g., Hadoop, Spark). Experience supporting analytics, data science, or machine learning use cases Exposure to streaming or event driven architectures (e.g. Kafka or equivalent) Experience with CI/CD, infrastructure as code, or platform automation Background delivering solutions in regulated or security constrained environments such as public sector or financial services Background Check This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personal Security Controls referred to as National Security Vetting (NVS) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). IBM is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Salary: up to £50,000 per annum dependant on experience, plus amazing benefits listed below! Contract: Permanent Latest closing date: Monday 8th June 2026. Please note: We may close vacancies early when we receive significant numbers of applications, so don't delay! We're the name behind a host of brilliant brands, from Inch's to Birra Moretti and many more. And with around 2,400 pubs to our name in the UK, our Star Pubs business is all about putting pubs at the centre of community life. But we're more than just great beers and ciders - we're a place where passion meets purpose, careers are crafted as carefully as our brews, and enjoyment of life is part of the job. About the role As the Automation Engineer, you will be working within a team directly reporting to the Engineering Manager, supporting on automation and electrical activities within the Packaging line of production. This role is responsible for maintaining the site's automation systems, both hardware and software, to improve plant efficiency, reliability, and cost. At the Hereford site, our automation systems cover Utilities, Cider Production & Packaging, using Rockwell and Siemens PLCs with SCADA systems including ProLeit BrewMaxx and AVEVA InTouch, alongside various OEM HMIs. The automation network is fully resilient and includes over 100 PLCs ranging from older Allen Bradley models to modern Rockwell ControlLogix and Siemens S7- systems. Communication is primarily via EthernetIP or ProfiNet, with additional networks such as ASi, Profibus DP, DeviceNet, and ControlNet. Key Responsibilities include: Monitoring, updating control systems and optimising PLC code. Providing technical support and mentoring to maintenance technicians to strengthen automation capabilities across the site. Programme and troubleshoot PLC systems; conduct root cause analysis on equipment issues. Use structured problem solving techniques (e.g., 5 Whys, Kaizen) to drive improvements. Maintain PLC backups and keep automation documentation up to date. Lead automation aspects of equipment integration and commissioning. About the team Helping millions of consumers enjoy our beers and ciders is a real team effort. As a Supply Chain colleague, you'll be part of the biggest function in HEINEKEN UK! From barley to bar, our Supply Chain produces high-quality beers and ciders, prioritising safety, sustainability and innovation to keep our operations running smoothly. You'll be based within the broader packaging team, focused on keeping our bottling, canning and other lines running smoothly and efficiently. Your role contributes to ensuring machinery is reliable, well maintained and safe, while also anticipating future needs and driving fresh, innovative improvements to increase the site's overall output. Who we're looking for We're looking for someone who enjoys working as part of a team and finds the best solutions by sharing ideas and collaborating with others. Possessing strong communication skills and the ability to influence decisions will help you in driving site improvements and efficiency in wider operations. As well as the above, the ideal candidate will have: A recognised Electrical Engineering qualification such as an NVQ Level 3, HNC/HND level is mandatory. Mechanical experience is ideal but Prior experience in a packaging automation or fast moving consumer goods (FMCG) environment is highly desirable. Strong working knowledge of PLC systems, particularly Rockwell and Siemens platforms. Network architecture standards and ideally have a understanding of ISA 95 automation standard Familiarity with SCADA systems; ability to interpret and work with automation interfaces. Practical experience in PLC programming, diagnostics, and fault finding. Awareness of Process Control Design (PCD) and cybersecurity practices in an industrial setting. Ability to apply structured problem solving and cyber safe techniques in automation systems. If you want to grow and develop your skills, gain hands on experience with a wide range of technologies and sharpen your problem solving abilities, we want to hear from you. We're all about brewing the Joy of True Togetherness, and that starts with our people. We believe in bringing everyone together, making sure you feel supported, valued, and included from day one - because every one of our colleagues has a role to play in shaping the future of beer, cider, pubs and beyond. It's a brilliant time to join us. We're pioneering in low and no alcohol products, continuing to wow the world with creative marketing campaigns, investing into pubs and brewing a better world for people and the planet. We're a place where you can build a meaningful career, with plenty of opportunities for continuous learning and development. Our Upskill Reskill programme makes sure you have the capabilities you need both now and in the future, while our in house platform, UBrew, is packed with learning resources. For those just starting out or looking for a change, our apprenticeships let you earn valuable qualifications while you work. And for our managers and leaders, our LEAD talent programme provides the tools and guidance to inspire drive long term success. This is your chance to step up, raise the bar and brew a great career. 32 days' holiday, plus three listed public holidays (Christmas Day, Boxing Day, and New Year's Day - if any of these fall on a weekend, you'll get the following weekday off instead) Life assurance (subject to policy terms) Critical illness insurance - comprehensive cover for you and your family Free ciders and beers (including low and zero alcohol options) Wellbeing support, including Mental health champions, free Counselling, access to Colleague Networks. Comprehensive opportunities to develop Option to join our Colleague Networks to connect, share and build inclusion and much more! Please note: Rewards and benefits can vary from role to role. Some benefits are taxable and may be based on employee contributions. We're happy to discuss further throughout the application process. The application If you're interested in this opportunity, please apply before the closing date listed above. You might not meet every single requirement for the roles listed above, and that's okay - we all need the opportunity to develop and untap our full potential. If this advert's piqued your interest, we'd encourage you to apply rather than ruling yourself out. We're committed to finding great talent who can grow with us-no matter who you are or where you're from. If you need any adjustments made to support your application (for example, if you require information in different formats, or if you have any accessibility issues), we're more than happy to review our processes - please feel free to get in touch with us at . Apply today to discover Your Future, Untapped.
25/05/2026
Full time
Salary: up to £50,000 per annum dependant on experience, plus amazing benefits listed below! Contract: Permanent Latest closing date: Monday 8th June 2026. Please note: We may close vacancies early when we receive significant numbers of applications, so don't delay! We're the name behind a host of brilliant brands, from Inch's to Birra Moretti and many more. And with around 2,400 pubs to our name in the UK, our Star Pubs business is all about putting pubs at the centre of community life. But we're more than just great beers and ciders - we're a place where passion meets purpose, careers are crafted as carefully as our brews, and enjoyment of life is part of the job. About the role As the Automation Engineer, you will be working within a team directly reporting to the Engineering Manager, supporting on automation and electrical activities within the Packaging line of production. This role is responsible for maintaining the site's automation systems, both hardware and software, to improve plant efficiency, reliability, and cost. At the Hereford site, our automation systems cover Utilities, Cider Production & Packaging, using Rockwell and Siemens PLCs with SCADA systems including ProLeit BrewMaxx and AVEVA InTouch, alongside various OEM HMIs. The automation network is fully resilient and includes over 100 PLCs ranging from older Allen Bradley models to modern Rockwell ControlLogix and Siemens S7- systems. Communication is primarily via EthernetIP or ProfiNet, with additional networks such as ASi, Profibus DP, DeviceNet, and ControlNet. Key Responsibilities include: Monitoring, updating control systems and optimising PLC code. Providing technical support and mentoring to maintenance technicians to strengthen automation capabilities across the site. Programme and troubleshoot PLC systems; conduct root cause analysis on equipment issues. Use structured problem solving techniques (e.g., 5 Whys, Kaizen) to drive improvements. Maintain PLC backups and keep automation documentation up to date. Lead automation aspects of equipment integration and commissioning. About the team Helping millions of consumers enjoy our beers and ciders is a real team effort. As a Supply Chain colleague, you'll be part of the biggest function in HEINEKEN UK! From barley to bar, our Supply Chain produces high-quality beers and ciders, prioritising safety, sustainability and innovation to keep our operations running smoothly. You'll be based within the broader packaging team, focused on keeping our bottling, canning and other lines running smoothly and efficiently. Your role contributes to ensuring machinery is reliable, well maintained and safe, while also anticipating future needs and driving fresh, innovative improvements to increase the site's overall output. Who we're looking for We're looking for someone who enjoys working as part of a team and finds the best solutions by sharing ideas and collaborating with others. Possessing strong communication skills and the ability to influence decisions will help you in driving site improvements and efficiency in wider operations. As well as the above, the ideal candidate will have: A recognised Electrical Engineering qualification such as an NVQ Level 3, HNC/HND level is mandatory. Mechanical experience is ideal but Prior experience in a packaging automation or fast moving consumer goods (FMCG) environment is highly desirable. Strong working knowledge of PLC systems, particularly Rockwell and Siemens platforms. Network architecture standards and ideally have a understanding of ISA 95 automation standard Familiarity with SCADA systems; ability to interpret and work with automation interfaces. Practical experience in PLC programming, diagnostics, and fault finding. Awareness of Process Control Design (PCD) and cybersecurity practices in an industrial setting. Ability to apply structured problem solving and cyber safe techniques in automation systems. If you want to grow and develop your skills, gain hands on experience with a wide range of technologies and sharpen your problem solving abilities, we want to hear from you. We're all about brewing the Joy of True Togetherness, and that starts with our people. We believe in bringing everyone together, making sure you feel supported, valued, and included from day one - because every one of our colleagues has a role to play in shaping the future of beer, cider, pubs and beyond. It's a brilliant time to join us. We're pioneering in low and no alcohol products, continuing to wow the world with creative marketing campaigns, investing into pubs and brewing a better world for people and the planet. We're a place where you can build a meaningful career, with plenty of opportunities for continuous learning and development. Our Upskill Reskill programme makes sure you have the capabilities you need both now and in the future, while our in house platform, UBrew, is packed with learning resources. For those just starting out or looking for a change, our apprenticeships let you earn valuable qualifications while you work. And for our managers and leaders, our LEAD talent programme provides the tools and guidance to inspire drive long term success. This is your chance to step up, raise the bar and brew a great career. 32 days' holiday, plus three listed public holidays (Christmas Day, Boxing Day, and New Year's Day - if any of these fall on a weekend, you'll get the following weekday off instead) Life assurance (subject to policy terms) Critical illness insurance - comprehensive cover for you and your family Free ciders and beers (including low and zero alcohol options) Wellbeing support, including Mental health champions, free Counselling, access to Colleague Networks. Comprehensive opportunities to develop Option to join our Colleague Networks to connect, share and build inclusion and much more! Please note: Rewards and benefits can vary from role to role. Some benefits are taxable and may be based on employee contributions. We're happy to discuss further throughout the application process. The application If you're interested in this opportunity, please apply before the closing date listed above. You might not meet every single requirement for the roles listed above, and that's okay - we all need the opportunity to develop and untap our full potential. If this advert's piqued your interest, we'd encourage you to apply rather than ruling yourself out. We're committed to finding great talent who can grow with us-no matter who you are or where you're from. If you need any adjustments made to support your application (for example, if you require information in different formats, or if you have any accessibility issues), we're more than happy to review our processes - please feel free to get in touch with us at . Apply today to discover Your Future, Untapped.
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud. This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you. What You'll Do Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client's business needs, leveraging the best of Google Cloud technologies. Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions. Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture. Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery. Shape Data Strategy: Collaborate with the client to define and refine data strategy, covering: Data governance and compliance Scalable and efficient data modeling techniques Ensuring data quality and integrity Data management, security, and privacy best practices Establishing optimal workflows and operational efficiencies Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate: Cloud best practices Scalable and efficient ingestion strategies Feature engineering methodologies End-to-end production readiness Leverage Leading Technologies: Design and implement solutions using key partner technologies, including: Google Cloud - BigQuery, Dataflow, Vertex AI, and more dbt Labs - Modern analytics engineering and transformation Snowflake - Cloud-native data warehousing Fivetran - Automated data pipelines for seamless integration What You'll Bring Data Architecture: Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability Data Governance: Experience with data platforms with data quality, security, privacy, and governance controls built-in Ownership Mindset: Ability to take projects from concept to completion, driving creative and effective solutions Analytical & Technical Excellence: Demonstrated problem-solving skills with a strong technical foundation and an innovative approach Communication & Presentation: Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers Stakeholder Management: Ability to build and maintain strong relationships with key external stakeholders across different business levels Programming Proficiency: Hands-on experience with Python, Java, and SQL for data engineering and solution development What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday: 25 days plus bank holidays (obviously!) Health Perks: Private health insurance (Vitality Health) and Smart Health Services Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A WFH allowance to keep you comfortable. Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) Life Insurance: (3 x your base salary!) Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work Scheme Tech Scheme Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.
25/05/2026
Full time
Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As a Principal Data Architect, you will play a pivotal role in designing and implementing modern, scalable data solutions for our clients. Working closely with colleagues across the Data & Analytics Engineering teams, you will help architect, build, and optimise new data platforms or migrate existing solutions to Google Cloud. This is an exciting opportunity for a highly-experienced data professional who is passionate about leveraging cloud technologies to drive innovation and efficiency. You will consult with our clients to understand their business needs and objectives, gather requirements, and define and deliver robust, high-performance data architectures. If you thrive in a fast-paced, technology-driven, consulting environment and are eager to make a tangible impact on transformative projects, this role is for you. What You'll Do Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client's business needs, leveraging the best of Google Cloud technologies. Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions. Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture. Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery. Shape Data Strategy: Collaborate with the client to define and refine data strategy, covering: Data governance and compliance Scalable and efficient data modeling techniques Ensuring data quality and integrity Data management, security, and privacy best practices Establishing optimal workflows and operational efficiencies Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate: Cloud best practices Scalable and efficient ingestion strategies Feature engineering methodologies End-to-end production readiness Leverage Leading Technologies: Design and implement solutions using key partner technologies, including: Google Cloud - BigQuery, Dataflow, Vertex AI, and more dbt Labs - Modern analytics engineering and transformation Snowflake - Cloud-native data warehousing Fivetran - Automated data pipelines for seamless integration What You'll Bring Data Architecture: Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks Data Modeling: Strong expertise in data modeling and solution architecture, optimizing for performance and scalability Data Governance: Experience with data platforms with data quality, security, privacy, and governance controls built-in Ownership Mindset: Ability to take projects from concept to completion, driving creative and effective solutions Analytical & Technical Excellence: Demonstrated problem-solving skills with a strong technical foundation and an innovative approach Communication & Presentation: Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers Stakeholder Management: Ability to build and maintain strong relationships with key external stakeholders across different business levels Programming Proficiency: Hands-on experience with Python, Java, and SQL for data engineering and solution development What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday: 25 days plus bank holidays (obviously!) Health Perks: Private health insurance (Vitality Health) and Smart Health Services Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym). Hybrid Model: A WFH allowance to keep you comfortable. Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%) Life Insurance: (3 x your base salary!) Income Protection: (up to 75% of base salary, up to 2 years) Cycle to Work Scheme Tech Scheme Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level.
Select how often (in days) to receive an alert: Senior AI Engineer, IT Solutions 1 1 Date: May 23, 2026 Location: Remote Employee Europe, SHR, GB General Overview Functional Area: Information Technology (ITM) Career Stream: IT Solutions Role: Technical Lead (TEL) Job Title: Technical Lead, IT Solutions Job Code: TL-ITM-SOLN Job Level: Level 10 Direct/Indirect Indicator: Indirect Summary Detailed Description AI Solution Scoping & Requirements: Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage. Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding. Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG). Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models. Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel. Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements. Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces. MLOps, Deployment & Monitoring: Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models. Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments. Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles. 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development. Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus). Proven ability to architect end-to-end AI solutions from discovery to production deployment. Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI Preferred ). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP). Industry experience in manufacturing or a related industrial sector. Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Typical Experience 11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification. Notes Celestica 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, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. Celestica is an E-Verify employer. Location: This is a remote position, with travel as necessary. We are open to considering candidates close to any of our US locations in Massachusetts, Pennsylvania, Minnesota, Texas, Arizona, Oregon or California as well as locations near major airports such as the Northeast, Southeast, Midwest and Pacific Coast. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
25/05/2026
Full time
Select how often (in days) to receive an alert: Senior AI Engineer, IT Solutions 1 1 Date: May 23, 2026 Location: Remote Employee Europe, SHR, GB General Overview Functional Area: Information Technology (ITM) Career Stream: IT Solutions Role: Technical Lead (TEL) Job Title: Technical Lead, IT Solutions Job Code: TL-ITM-SOLN Job Level: Level 10 Direct/Indirect Indicator: Indirect Summary Detailed Description AI Solution Scoping & Requirements: Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments. Define the technical feasibility of proposed AI use cases, identifying appropriate model architectures (LLMs, SLMs, or traditional ML) and success metrics (Accuracy, F1-score, Perplexity, etc.). Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage. Work with stakeholders to identify and prepare high-quality datasets for model training, fine-tuning, and grounding. Design and implement data ingestion pipelines for vector databases, ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG). Collaborate with data engineers to ensure scalable, secure, and compliant data flows between enterprise systems and AI models. Develop, test, and refine AI prompts and orchestration workflows using frameworks like LangChain, LlamaIndex, or Semantic Kernel. Evaluate and select appropriate foundation models (OpenAI, Anthropic, Llama, etc.) based on performance, cost, and latency requirements. Translate business logic into technical specifications for API integrations, model endpoints, and user interfaces. MLOps, Deployment & Monitoring: Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models. Establish monitoring frameworks to track model performance, "drift," and hallucination rates in production environments. Ensure AI solutions adhere to corporate data governance, security, and ethical AI principles. 11+ years of experience in Information Technology, Software Engineering, or Data Science, with a significant focus on AI/ML development. Strong understanding of Generative AI landscapes, including LLMs, prompt engineering, and vector databases (e.g., Pinecone, Weaviate, Milvus). Proven ability to architect end-to-end AI solutions from discovery to production deployment. Excellent communication skills, with the ability to explain complex technical AI concepts to non-technical business leaders. Advanced proficiency in Python and relevant libraries (NumPy, Pandas, PyTorch, or TensorFlow). Experience with Cloud AI Services (Azure AI Studio, AWS Bedrock, or Google Vertex AI Preferred ). Knowledge of SQL and advanced data modeling for structured and unstructured data. Familiarity with MLOps tools (MLflow, Kubeflow) and containerization (Docker, Kubernetes). Experience working in an Agile/Scrum development environment. Knowledge of AI security frameworks and responsible AI practices (e.g., OWASP for LLMs, MCP). Industry experience in manufacturing or a related industrial sector. Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Typical Experience 11+ years of progressive experience in technical roles, with at least 3-5 years specifically focused on AI/ML engineering or architecture. Proven track record of delivering production-grade AI applications. AI-related certifications (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty) are highly preferred. Typical Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, or a related field; or a robust combination of work experience and specialized AI certification. Notes Celestica 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, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws. This policy applies to hiring, promotion, discharge, pay, fringe benefits, job training, classification, referral and other aspects of employment and also states that retaliation against a person who files a charge of discrimination, participates in a discrimination proceeding, or otherwise opposes an unlawful employment practice will not be tolerated. All information will be kept confidential according to EEO guidelines. Celestica is an E-Verify employer. Location: This is a remote position, with travel as necessary. We are open to considering candidates close to any of our US locations in Massachusetts, Pennsylvania, Minnesota, Texas, Arizona, Oregon or California as well as locations near major airports such as the Northeast, Southeast, Midwest and Pacific Coast. COMPANY OVERVIEW: Celestica (NYSE, TSX: CLS) enables the world's best brands. Through our recognized customer-centric approach, we partner with leading companies in Aerospace and Defense, Communications, Enterprise, HealthTech, Industrial, Capital Equipment and Energy to deliver solutions for their most complex challenges. As a leader in design, manufacturing, hardware platform and supply chain solutions, Celestica brings global expertise and insight at every stage of product development - from drawing board to full-scale production and after-market services for products from advanced medical devices, to highly engineered aviation systems, to next-generation hardware platform solutions for the Cloud.Headquartered in Toronto, with talented teams spanning 40+ locations in 13 countries across the Americas, Europe and Asia, we imagine, develop and deliver a better future with our customers. Celestica would like to thank all applicants, however, only qualified applicants will be contacted. Celestica does not accept unsolicited resumes from recruitment agencies or fee based recruitment services.
Senior Software Developers/Engineers with Python, Terraform and Go Our Client is looking to recruit brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills Python Machine Learning Terraform Go programming language Ability to develop in C++ and/or C#, with an expectation to learn Go Excellence is vital. Ideally have security clearance. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The Client has offices in Central London and the project is based in Oxford - and is happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Please note we really are looking for the best software developers the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
25/05/2026
Full time
Senior Software Developers/Engineers with Python, Terraform and Go Our Client is looking to recruit brilliant Software Developers/Engineers with upwards of 7 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills Python Machine Learning Terraform Go programming language Ability to develop in C++ and/or C#, with an expectation to learn Go Excellence is vital. Ideally have security clearance. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The Client has offices in Central London and the project is based in Oxford - and is happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Please note we really are looking for the best software developers the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
Senior Software Engineer with Python and Java Our Client is looking to recruit brilliant Software Engineer with upwards of 5 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement within the Life Sciences industry. So if you any experience with the Life Sciences domain - then the Client would be very interested to see your profile. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills: Python, Machine Learning, Java The Client would like to see solid expertise of working with and developing complex applications with Java. Excellence is vital. Ideally have security clearance. The Client has offices in Central London and the project is based in Oxford and are happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The ideal candidate will have a PhD in Computer Science although an MSc with excellent skills may work. Please note we really are looking for the best software developers - the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
25/05/2026
Full time
Senior Software Engineer with Python and Java Our Client is looking to recruit brilliant Software Engineer with upwards of 5 to 10 years solid proven track record of developing complex applications with Python coupled with Machine Learning and ideally Go. We're looking to recruit initially 2 excellent Software Engineers to work with an existing team of 4 software developers on a very large strategic consulting engagement within the Life Sciences industry. So if you any experience with the Life Sciences domain - then the Client would be very interested to see your profile. Must be 100% trustworthy with real integrity - this is a highly sensitive project. Key skills: Python, Machine Learning, Java The Client would like to see solid expertise of working with and developing complex applications with Java. Excellence is vital. Ideally have security clearance. The Client has offices in Central London and the project is based in Oxford and are happy with remote working for the foreseeable future. They are absolutely committed to family-friendly operations with diversity & work-life balance. Daily rate for this assignment will be dependent on your expertise - but will be in the range £500 to £2000 per day. Duration for this assignment will be 3 to 6 months initially with possibility of the role becoming permanent at some point in the future. The ideal candidate will have a PhD in Computer Science although an MSc with excellent skills may work. Please note we really are looking for the best software developers - the cream of the crop - or crème de la crème. Do send your CV to us in Word format along with your daily rate and availability.
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in UX writing, content design, technical writing, editorial, marketing, or related and experience leading content strategy projects. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions). Preferred qualifications: Experience working with Generative AI, Large Language Models (LLMs), or machine learning products. Experience in prompt engineering, rubric development, or model evaluation methods. Experience navigating ambiguous, fast-paced environments and driving alignment across technical and non-technical teams. Strong editorial background with the ability to blend creative design thinking with technical logic. Ability to use data and user research to inform content strategy and measure the impact of quality improvements. About the job As a Staff Content Designer, you'll work across a broad portfolio of products at the heart of Google's business. You'll be the first content designer on the team and have a high degree of autonomy to shape how the function operates, balancing strategic leadership with visible impact. As part of a new UX leadership team, you'll help shape ways of working across a rapidly growing UX team. You'll shape product experiences through a user-centered lens while driving impact on key business goals. You'll be responsible for demonstrating how strategic content design leads to tangible results in end-to-end journeys and conversational AI experiences alike. We view this role as essential to our product strategy, requiring a content designer who thrives on the responsibility of moving the needle through their work and lifting up those around them. User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users' needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products' unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google's philosophy: "Focus on the user and all else will follow." Responsibilities Provide both high-level strategic direction and content design to scale quality writing and content design. Drive complex alignment efforts across different product boundaries to create cohesion. Drive scalable frameworks, design systems, and design patterns to address high-complexity challenges. Drive the quality and behavior of AI models by establishing robust model training practices, writing exemplary content, and evaluating response quality. Set the standard for user-centered AI interactions, addressing trust, personality, and tone. Leverage strong partnerships across product, engineering, and research to articulate and guide product strategy toward delivering high-impact results. Elevate content design and UX writing craft in the organization. Develop and pioneer new practices and approaches, including agentic workflows. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
25/05/2026
Full time
Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in UX writing, content design, technical writing, editorial, marketing, or related and experience leading content strategy projects. Include a portfolio, website, or any other relevant link to your work in your resume (providing a viewable link or access instructions). Preferred qualifications: Experience working with Generative AI, Large Language Models (LLMs), or machine learning products. Experience in prompt engineering, rubric development, or model evaluation methods. Experience navigating ambiguous, fast-paced environments and driving alignment across technical and non-technical teams. Strong editorial background with the ability to blend creative design thinking with technical logic. Ability to use data and user research to inform content strategy and measure the impact of quality improvements. About the job As a Staff Content Designer, you'll work across a broad portfolio of products at the heart of Google's business. You'll be the first content designer on the team and have a high degree of autonomy to shape how the function operates, balancing strategic leadership with visible impact. As part of a new UX leadership team, you'll help shape ways of working across a rapidly growing UX team. You'll shape product experiences through a user-centered lens while driving impact on key business goals. You'll be responsible for demonstrating how strategic content design leads to tangible results in end-to-end journeys and conversational AI experiences alike. We view this role as essential to our product strategy, requiring a content designer who thrives on the responsibility of moving the needle through their work and lifting up those around them. User experience is at the forefront of how we create intuitive, innovative, and beautiful products that people love. We strive to learn and understand our users' needs, behaviors, and emotions to gather insights that inform product strategy and design. Our UX teams include designers, researchers, content strategists, and engineers who are passionate about quality, usability, and simplicity. We work on collaborative teams to solve complex challenges and craft experiences that highlight our products' unique capabilities and personalities. Our work touches billions while exemplifying a key principle that is core to Google's philosophy: "Focus on the user and all else will follow." Responsibilities Provide both high-level strategic direction and content design to scale quality writing and content design. Drive complex alignment efforts across different product boundaries to create cohesion. Drive scalable frameworks, design systems, and design patterns to address high-complexity challenges. Drive the quality and behavior of AI models by establishing robust model training practices, writing exemplary content, and evaluating response quality. Set the standard for user-centered AI interactions, addressing trust, personality, and tone. Leverage strong partnerships across product, engineering, and research to articulate and guide product strategy toward delivering high-impact results. Elevate content design and UX writing craft in the organization. Develop and pioneer new practices and approaches, including agentic workflows. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Newcastle University is a world-class UK University, advancing knowledge, providing creative solutions and solving global problems. Newcastle University in Singapore has been providing top-quality degrees in Singapore for over a decade and have graduated more than 1,000 students. We deliver jointly awarded undergraduate Newcastle University degrees with Singapore Institute of Technology in chemical engineering, electrical power engineering, marine engineering, offshore engineering and naval architecture, and mechanical design and manufacturing engineering. At Newcastle Research and Innovation Institute, we provide postgraduate education and training with MScs in Electrical Power Engineering, Energy and Sustainability, Marine Technology and Process Safety and Risk Management as well as research degrees (PhD, MPhil). Attracting and retaining staff of the highest calibre is our priority. The Role One Utility Bill Limited and Newcastle University are offering an exciting opportunity to develop a data driven software model that accurately predicts the energy usage for every residential property in the UK - for use in utility bill management. The modelling will utilise time series analysis and machine learning methods. One Utility Bill are a third-party intermediary (TPI) that simplifies household billing with transparent, bundled utility packages for renters and homeowners. OUBs flagship offering is an unlimited energy package, through which they provide customers with a fixed energy cost based on current market tariffs and projected consumption over the contract term. Based at One Utility Bill, you will be supported by an interdisciplinary team from Newcastle University, led by Prof. Hongsheng Dai, who has expertise in statistical methodology and statistical applications. You will be also supported by a senior supervisor from One Utility Bill, with expertise in financial control. Candidates should have a first degree in statistics, data science, computer science, mathematics or a related discipline, as well as a higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. Develop managerial skills and attend two residential managerial workshops (each of one-week duration) £4,000 personal training budget The opportunity to lead a project, develop project management skills and improve long-term career prospects Mentoring by a Knowledge Transfer Network Adviser Full access to university resources to complete the project Ability to work in a largely self-determined way, across the industry-academic partnership Opportunities to develop both technical understanding and commercial awareness The possibility of studying for a higher degree or undertaking professional development The KTP Associate will be an employee of Newcastle University but will spend most of their working time at the company's premises at One Utility Bill, 5 Media Exchange, Coquet Street and when required at Newcastle University. The KTP Associate will follow One Utility Bill's working hours and holiday procedure. The working week will be 40 hours per week, with a shift pattern of Monday-Friday 9:00am-5:00pm. Annual Leave applicable to this role is 25 days plus bank holidays. Although the contract is fixed term for a duration of 2 years, more than 70% of KTP staff gain a permanent job offer from their KTP company. For more information or informal enquiries, please contact Prof Hongsheng Dai at or Prof Kevin Wilson at . For further details about Knowledge Transfer Partnerships please visit the web page at: Key Tasks Anomaly and outlier detection using advanced statistical techniques. Develop and apply statistical models (such as seasonal ARIMA models) under a Bayesian framework and machine learning models (such as LSTM), to forecast energy usage at the household level. Develop advanced forecasting algorithms by incorporating external variables (e.g. weather, EPC rating), missing data and heterogeneous data patterns. Translate outputs into pricing strategies. Disseminate findings through reports, research papers and conferences. Work with colleagues in One Utility Bill to successfully integrate a range of data sources and developed algorithms into a single platform. Communicate high level technical concepts to non-specialists. The Person Knowledge, Skills, and Experience Strong theoretical and applied knowledge in time series analysis. Strong theoretical and applied knowledge in Bayesian inference and computational statistics, including advanced methods such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC). Good theoretical and applied knowledge in artificial intelligence and statistical learning models. Knowledge in data engineering (missing data imputation, outlier detection). Excellent experience in R/Python programming. Desirable Strong foundation in theoretical statistics, with the ability to apply rigorous statistical principles to complex modelling problems. Knowledge of optimisation. Experience of project management, the ability to manage multiple deadlines. Attributes and Behaviour Excellent organisational and planning skills. The ability to work to deadlines. The ability to work independently and collaboratively with colleagues. Strong interpersonal skills with the ability to communicate at all levels to different stakeholder groups in both academia and industry. Good attention to detail. A natural problem solver. Excellent verbal, written and presentation skills. Qualifications / Experience A first degree in statistics, data science, computer science, mathematics or a related discipline. A higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description. Any requested additional documents required as part of your application, should be included within the same file as your cover letter. The total file size must not exceed 10MB. Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution. We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population. At Newcastle University we hold a GoldAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme. In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
25/05/2026
Full time
Newcastle University is a world-class UK University, advancing knowledge, providing creative solutions and solving global problems. Newcastle University in Singapore has been providing top-quality degrees in Singapore for over a decade and have graduated more than 1,000 students. We deliver jointly awarded undergraduate Newcastle University degrees with Singapore Institute of Technology in chemical engineering, electrical power engineering, marine engineering, offshore engineering and naval architecture, and mechanical design and manufacturing engineering. At Newcastle Research and Innovation Institute, we provide postgraduate education and training with MScs in Electrical Power Engineering, Energy and Sustainability, Marine Technology and Process Safety and Risk Management as well as research degrees (PhD, MPhil). Attracting and retaining staff of the highest calibre is our priority. The Role One Utility Bill Limited and Newcastle University are offering an exciting opportunity to develop a data driven software model that accurately predicts the energy usage for every residential property in the UK - for use in utility bill management. The modelling will utilise time series analysis and machine learning methods. One Utility Bill are a third-party intermediary (TPI) that simplifies household billing with transparent, bundled utility packages for renters and homeowners. OUBs flagship offering is an unlimited energy package, through which they provide customers with a fixed energy cost based on current market tariffs and projected consumption over the contract term. Based at One Utility Bill, you will be supported by an interdisciplinary team from Newcastle University, led by Prof. Hongsheng Dai, who has expertise in statistical methodology and statistical applications. You will be also supported by a senior supervisor from One Utility Bill, with expertise in financial control. Candidates should have a first degree in statistics, data science, computer science, mathematics or a related discipline, as well as a higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. Develop managerial skills and attend two residential managerial workshops (each of one-week duration) £4,000 personal training budget The opportunity to lead a project, develop project management skills and improve long-term career prospects Mentoring by a Knowledge Transfer Network Adviser Full access to university resources to complete the project Ability to work in a largely self-determined way, across the industry-academic partnership Opportunities to develop both technical understanding and commercial awareness The possibility of studying for a higher degree or undertaking professional development The KTP Associate will be an employee of Newcastle University but will spend most of their working time at the company's premises at One Utility Bill, 5 Media Exchange, Coquet Street and when required at Newcastle University. The KTP Associate will follow One Utility Bill's working hours and holiday procedure. The working week will be 40 hours per week, with a shift pattern of Monday-Friday 9:00am-5:00pm. Annual Leave applicable to this role is 25 days plus bank holidays. Although the contract is fixed term for a duration of 2 years, more than 70% of KTP staff gain a permanent job offer from their KTP company. For more information or informal enquiries, please contact Prof Hongsheng Dai at or Prof Kevin Wilson at . For further details about Knowledge Transfer Partnerships please visit the web page at: Key Tasks Anomaly and outlier detection using advanced statistical techniques. Develop and apply statistical models (such as seasonal ARIMA models) under a Bayesian framework and machine learning models (such as LSTM), to forecast energy usage at the household level. Develop advanced forecasting algorithms by incorporating external variables (e.g. weather, EPC rating), missing data and heterogeneous data patterns. Translate outputs into pricing strategies. Disseminate findings through reports, research papers and conferences. Work with colleagues in One Utility Bill to successfully integrate a range of data sources and developed algorithms into a single platform. Communicate high level technical concepts to non-specialists. The Person Knowledge, Skills, and Experience Strong theoretical and applied knowledge in time series analysis. Strong theoretical and applied knowledge in Bayesian inference and computational statistics, including advanced methods such as Markov Chain Monte Carlo (MCMC) and Sequential Monte Carlo (SMC). Good theoretical and applied knowledge in artificial intelligence and statistical learning models. Knowledge in data engineering (missing data imputation, outlier detection). Excellent experience in R/Python programming. Desirable Strong foundation in theoretical statistics, with the ability to apply rigorous statistical principles to complex modelling problems. Knowledge of optimisation. Experience of project management, the ability to manage multiple deadlines. Attributes and Behaviour Excellent organisational and planning skills. The ability to work to deadlines. The ability to work independently and collaboratively with colleagues. Strong interpersonal skills with the ability to communicate at all levels to different stakeholder groups in both academia and industry. Good attention to detail. A natural problem solver. Excellent verbal, written and presentation skills. Qualifications / Experience A first degree in statistics, data science, computer science, mathematics or a related discipline. A higher degree (ideally PhD) in statistics, data science, optimisation or artificial intelligence. To apply, please attach your CV and a cover letter that demonstrates how you meet the essential criteria for the position, as outlined in the Person Specification of the Job Description. Any requested additional documents required as part of your application, should be included within the same file as your cover letter. The total file size must not exceed 10MB. Newcastle University is a global University where everyone is treated with dignity and respect. As a University of Sanctuary, we aim to provide a welcoming place of safety for all, offering opportunities to people fleeing violence and persecution. We are committed to being a fully inclusive university which actively recruits, supports and retains colleagues from all sectors of society. We value diversity as well as celebrate, support and thrive on the contributions of all of our employees and the communities they represent. We are proud to be an equal opportunities employer and encourage applications from individuals who can complement our existing teams, we believe that success is built on having teams whose backgrounds and experiences reflect the diversity of our university and student population. At Newcastle University we hold a GoldAthena Swan award in recognition of our good employment practices for the advancement of gender equality. We also hold a Race Equality Charter Bronze award in recognition of our work towards tackling race inequality in higher education REC. We are a Disability Confident employer and will offer an interview to disabled applicants who meet the essential criteria for the role as part of the offer and interview scheme. In addition, we are a member of the Euraxess initiative supporting researchers in Europe.
A leading consulting company seeks Senior Software Developers/Engineers with extensive experience in Python and Machine Learning for a strategic project. Responsibilities include working with a dynamic team and developing complex applications. Candidates should have 7-10 years of proven experience and must demonstrate integrity and trustworthiness. The role offers a competitive daily rate ranging from £500 to £2000, with possibilities for remote work and permanent placement.
25/05/2026
Full time
A leading consulting company seeks Senior Software Developers/Engineers with extensive experience in Python and Machine Learning for a strategic project. Responsibilities include working with a dynamic team and developing complex applications. Candidates should have 7-10 years of proven experience and must demonstrate integrity and trustworthiness. The role offers a competitive daily rate ranging from £500 to £2000, with possibilities for remote work and permanent placement.
Sensefolio, a leading provider of Environmental, Social, and Governance (ESG) data and analytics, is seeking an experienced and passionate NLP Engineer to join our innovative team. In this role, you will leverage your expertise in natural language processing (NLP), machine learning, and data analysis to develop and refine advanced algorithms that extract valuable insights from textual data related to ESG factors. If you are excited about applying your skills to make a positive impact in the world of sustainable finance, we would love to hear from you! Key Responsibilities Design, develop, and implement NLP models and algorithms to analyze and process large-scale textual data from various sources, such as company reports, social media posts, and financial news Collaborate with data scientists, developers, and other team members to enhance ESG rating methodologies, improve data processing pipelines, and optimize platform performance Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio's ESG data and analytics solutions Conduct research on emerging ESG trends and issues, and incorporate findings into model development and enhancement Develop and maintain technical documentation, including model specifications, performance metrics, and validation results Qualifications Bachelor's degree in computer science, data science, linguistics, or a related field; advanced degree (MS, PhD) is a plus A minimum of 3 years of professional experience in NLP, machine learning, or artificial intelligence, preferably within the financial services, ESG, or data analytics industries Proficiency in Python and NLP libraries, such as NLTK, spaCy, or Gensim Strong understanding of data structures, algorithms, and software design principles Experience working with large-scale data processing, distributed computing, or cloud-based platforms (e.g., Hadoop, Spark, AWS) is highly desirable Familiarity with ESG investing principles and market trends is a plus Excellent problem-solving, analytical, and debugging skills Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment What We Offer Competitive salary and benefits package Collaborative, inclusive, and supportive work environment Opportunities for professional growth and career advancement The chance to contribute to the development of innovative ESG data and analytics solutions that drive positive change in the investing world If you are an experienced NLP Engineer with a passion for sustainable finance, we encourage you to apply for this exciting opportunity at Sensefolio. To submit your application, please send your resume and cover letter to careers at Sensefolio is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We welcome and encourage applications from candidates of all backgrounds, experiences, and perspectives.
25/05/2026
Full time
Sensefolio, a leading provider of Environmental, Social, and Governance (ESG) data and analytics, is seeking an experienced and passionate NLP Engineer to join our innovative team. In this role, you will leverage your expertise in natural language processing (NLP), machine learning, and data analysis to develop and refine advanced algorithms that extract valuable insights from textual data related to ESG factors. If you are excited about applying your skills to make a positive impact in the world of sustainable finance, we would love to hear from you! Key Responsibilities Design, develop, and implement NLP models and algorithms to analyze and process large-scale textual data from various sources, such as company reports, social media posts, and financial news Collaborate with data scientists, developers, and other team members to enhance ESG rating methodologies, improve data processing pipelines, and optimize platform performance Stay up-to-date with the latest advancements in NLP, machine learning, and artificial intelligence to ensure the continued innovation of Sensefolio's ESG data and analytics solutions Conduct research on emerging ESG trends and issues, and incorporate findings into model development and enhancement Develop and maintain technical documentation, including model specifications, performance metrics, and validation results Qualifications Bachelor's degree in computer science, data science, linguistics, or a related field; advanced degree (MS, PhD) is a plus A minimum of 3 years of professional experience in NLP, machine learning, or artificial intelligence, preferably within the financial services, ESG, or data analytics industries Proficiency in Python and NLP libraries, such as NLTK, spaCy, or Gensim Strong understanding of data structures, algorithms, and software design principles Experience working with large-scale data processing, distributed computing, or cloud-based platforms (e.g., Hadoop, Spark, AWS) is highly desirable Familiarity with ESG investing principles and market trends is a plus Excellent problem-solving, analytical, and debugging skills Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment What We Offer Competitive salary and benefits package Collaborative, inclusive, and supportive work environment Opportunities for professional growth and career advancement The chance to contribute to the development of innovative ESG data and analytics solutions that drive positive change in the investing world If you are an experienced NLP Engineer with a passion for sustainable finance, we encourage you to apply for this exciting opportunity at Sensefolio. To submit your application, please send your resume and cover letter to careers at Sensefolio is an equal opportunity employer committed to fostering a diverse and inclusive work environment. We welcome and encourage applications from candidates of all backgrounds, experiences, and perspectives.
