We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky is looking for a talented and dedicated Senior Software Engineer in RDK Triage Engineering team to support the release cycles associated with deployed software on CPE devices. These devices use Reference Design Kit (RDK), which is deployed on over 100+ million devices spanning video, broadband and home security. The Release Triage Software Engineer function is critical to the successful development and deployment of new features and fixes as the function ensures that these changes get deployed to the field. Sky's development environment is advanced and highly integrated. It uses industry-standard tools that are combined effectively to support a fast-moving, agile development cycle. The combination of these tools running on cloud infrastructure, coupled with effective use of Open-Source code, allows Sky to deliver features and products against aggressive timelines. What You'll Do: As a key engineer of the team, you will be responsible for leading on-time, high-quality releases across a large number of devices. You will also be responsible for the complete release quality and triage lifecycle, which includes deployment, triage, mitigation, and tool development for software release operations. The position will require daily collaboration with the Development, Release, and QA teams. You will assess and ensure the release quality of the RDK software with Key performance metrics as well as incidents from the field. Also, identify new tools, processes, etc., necessary to improve the software release triage engineering process. You will manage risks and resolve issues that affect release scope, schedule and quality. Your daily tasks: Investigate customer-impacting field issues, identify root cause, and guide development teams toward the right fix Use strong problem-solving and debugging skills to isolate faults and resolve issues quickly Monitor business intelligence and telemetry dashboards to catch emerging customer issues early and act on them Collaborate closely with internal engineering teams and external partners, communicating findings clearly Contribute to and follow Agile development practices Stay current with new tools, technologies, and best practices across development, data analysis, cloud platforms, and monitoring Help scope requirements and contribute ideas to improve triage tooling and workflows Support and mentor teammates, sharing knowledge and best practices as you grow What You'll Bring: Experience in software engineering, systems debugging, or technical support, with a strong problem-solving mindset Experience with Linux and at least one programming language (C, C++, Python, or similar) Comfort working with networking & video/digital TV concepts (WiFi, broadband, or video technologies a plus, but not required) Exposure to data analysis or monitoring tools (e.g., Elastic, Splunk, Datadog, or similar) is a plus Understanding of software development practices, version control, and Agile methodologies Strong communication skills and the ability to work well with cross-functional and global teams A curious, adaptable mindset - comfortable learning new tools and technologies on the job Team overview: The Global RDK Field Triage Team within the RDK development team plays a critical role in ensuring the quality and reliability of these products. The team supports software deployment on CPE (Customer Premises Equipment) devices, collaborates with the release and engineering teams during integration, and leads issue investigation and live data monitoring. Our mission is to ensure optimal product performance and customer satisfaction. This role involves close collaboration with colleagues across the UK, India, and the US, offering a dynamic and truly international working environment. Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon . Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
Aug 26, 2026
Full time
We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Sky is looking for a talented and dedicated Senior Software Engineer in RDK Triage Engineering team to support the release cycles associated with deployed software on CPE devices. These devices use Reference Design Kit (RDK), which is deployed on over 100+ million devices spanning video, broadband and home security. The Release Triage Software Engineer function is critical to the successful development and deployment of new features and fixes as the function ensures that these changes get deployed to the field. Sky's development environment is advanced and highly integrated. It uses industry-standard tools that are combined effectively to support a fast-moving, agile development cycle. The combination of these tools running on cloud infrastructure, coupled with effective use of Open-Source code, allows Sky to deliver features and products against aggressive timelines. What You'll Do: As a key engineer of the team, you will be responsible for leading on-time, high-quality releases across a large number of devices. You will also be responsible for the complete release quality and triage lifecycle, which includes deployment, triage, mitigation, and tool development for software release operations. The position will require daily collaboration with the Development, Release, and QA teams. You will assess and ensure the release quality of the RDK software with Key performance metrics as well as incidents from the field. Also, identify new tools, processes, etc., necessary to improve the software release triage engineering process. You will manage risks and resolve issues that affect release scope, schedule and quality. Your daily tasks: Investigate customer-impacting field issues, identify root cause, and guide development teams toward the right fix Use strong problem-solving and debugging skills to isolate faults and resolve issues quickly Monitor business intelligence and telemetry dashboards to catch emerging customer issues early and act on them Collaborate closely with internal engineering teams and external partners, communicating findings clearly Contribute to and follow Agile development practices Stay current with new tools, technologies, and best practices across development, data analysis, cloud platforms, and monitoring Help scope requirements and contribute ideas to improve triage tooling and workflows Support and mentor teammates, sharing knowledge and best practices as you grow What You'll Bring: Experience in software engineering, systems debugging, or technical support, with a strong problem-solving mindset Experience with Linux and at least one programming language (C, C++, Python, or similar) Comfort working with networking & video/digital TV concepts (WiFi, broadband, or video technologies a plus, but not required) Exposure to data analysis or monitoring tools (e.g., Elastic, Splunk, Datadog, or similar) is a plus Understanding of software development practices, version control, and Agile methodologies Strong communication skills and the ability to work well with cross-functional and global teams A curious, adaptable mindset - comfortable learning new tools and technologies on the job Team overview: The Global RDK Field Triage Team within the RDK development team plays a critical role in ensuring the quality and reliability of these products. The team supports software deployment on CPE (Customer Premises Equipment) devices, collaborates with the release and engineering teams during integration, and leads issue investigation and live data monitoring. Our mission is to ensure optimal product performance and customer satisfaction. This role involves close collaboration with colleagues across the UK, India, and the US, offering a dynamic and truly international working environment. Global Product We're the Global Product. We're the team behind your favourite Sky products, and the platforms that power them. We make every moment magical, everywhere. Our team is made up of self-motivated, big thinkers who have a knack for solving problems and find new ways to captivate millions of customers by putting them at the heart of everything we do. From Sky Glass, Sky Q, Peacock and NOW to news and sports apps, we make entertainment even better, and we can't wait to get started on what's next. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks . Here's a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week. Your office base Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon . Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus, there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate . Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
About AirwallexAirwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide - including Brex, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, the company is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We ValueWe hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero to one ideas into real products, and you "get stuff done" end to end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the Team The Financial Crime Compliance (FCC) team at the company is a strategically vital function operating under a clear Three Lines of Defence model. As the independent second line, FCC owns the global AML/CTF programme, sanctions framework, risk assessment methodology, and governance infrastructure across all global entities. As the company scales into new markets and deepens its engagement with global regulatory bodies, we are building a world class compliance organization capable of managing complex financial crime risks at scale. This is an environment where you will tackle high impact challenges, shape global fintech risk strategies, and help establish foundations for long term growth. What you'll do As Manager, FCC Monitoring & Testing, EMEA you will shape and scale the company's global financial crime compliance monitoring and testing framework, establishing a rigorous, data driven second line assurance function. You will independently validate the design and operating effectiveness of AML, Sanctions, and KYC/KYB controls across all production environments and establish a monitoring framework and associated metrics to support executive decisioning and ongoing maintenance of program and control operating effectiveness. You will work closely with the broader FCC organization, Product, Engineering, Operations, and regional leadership to turn testing insights into operational accountability, robust remediation, and a defensible compliance posture before global regulators and institutional banking partners. This role covers the APAC region (excluding China and Hong Kong) and is based in Singapore. In this role, you will be a key part of a global team, collaborating closely across regions to drive consistent FCC Monitoring & Testing standards. Responsibilities: Contribute to the strategic development, execution, and continuous evolution of the company's Global FCC Monitoring & Testing Programme, establishing robust, risk based testing methodologies and annual plans for independent second line assurance. Design comprehensive testing frameworks to validate core compliance controls across customer onboarding, periodic reviews, sanctions screening, transaction monitoring, and regulatory reporting workflows, ensuring coverage keeps pace with product and market expansion. Oversee the ongoing FCC monitoring program for APAC (excluding China and Hong Kong), including establishment of KPIs and operating effectiveness metrics. Advance the transition from traditional sample reviews toward continuous, data enabled assurance by leveraging data analytics, system logs, and automated testing scripts to evaluate compliance control performance at the population level. Oversee the independent validation of system encoded controls, including transaction monitoring thresholds, screening logic, and customer risk rating models, ensuring systems function as intended without logic drift or hidden control gaps. Translate complex testing outcomes and thematic trends into clear, decision useful reporting for executive leadership and governance forums, providing constructive challenge to stakeholders and tracking the root cause remediation of control deficiencies. Represent the FCC monitoring and testing function during regulatory examinations, internal or external audits, and banking partner reviews, confidently defending testing methodologies and control evidence. Who you are We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: Bachelor's degree in Finance, Accounting, Law, Information Systems, Business Administration, or a related quantitative/analytical discipline. CAMS certification or an ICA International Diploma in Governance, Risk, and Compliance (or equivalent professional credential). 7+ years of experience within FCC quality assurance, compliance monitoring, internal audit, or a related second/third line control function inside a fintech, payments, or highly regulated banking environment. Strong technical knowledge of financial crime controls across transaction monitoring, sanctions/PEP screening, customer due diligence, and digital KYC/KYB workflows. Proven mastery of risk based testing methodologies, including scoping, sampling, design and operating effectiveness assessments, issue writing, and remediation validation. A high ownership, pragmatic approach, with excellent written communication and stakeholder management skills to challenge senior partners constructively and drive operational accountability. Preferred qualifications: Advanced degree such as an MBA, Master's in Regulatory Compliance, Risk Management, or a related field. Professional assurance or audit certifications such as CAMS Audit, CISA, or CIA. Strong fintech and platforms experience, including exposure to cloud native, API driven, high growth global environments with significant cross border transaction volume. Strong data literacy, including comfort using SQL, Python, BI dashboards, or automated tools to support continuous control validation and population based testing. Experience partnering directly with Product, Data Science, and Engineering teams to validate automated rules, model driven controls, and rapid deployments within an agile product lifecycle. Applicant Safety Policy: Fraud and Third Party Recruiters To protect you from recruitment scams, please be aware that the company will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from email address. The company does not accept unsolicited resumes from search firms/recruiters. The company will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to the company on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at the company is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
Aug 26, 2026
Full time
About AirwallexAirwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 250,000 businesses worldwide - including Brex, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,300 of the brightest and most innovative people in tech across 27 offices around the globe. Valued at US$11 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, the company is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We ValueWe hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero to one ideas into real products, and you "get stuff done" end to end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the Team The Financial Crime Compliance (FCC) team at the company is a strategically vital function operating under a clear Three Lines of Defence model. As the independent second line, FCC owns the global AML/CTF programme, sanctions framework, risk assessment methodology, and governance infrastructure across all global entities. As the company scales into new markets and deepens its engagement with global regulatory bodies, we are building a world class compliance organization capable of managing complex financial crime risks at scale. This is an environment where you will tackle high impact challenges, shape global fintech risk strategies, and help establish foundations for long term growth. What you'll do As Manager, FCC Monitoring & Testing, EMEA you will shape and scale the company's global financial crime compliance monitoring and testing framework, establishing a rigorous, data driven second line assurance function. You will independently validate the design and operating effectiveness of AML, Sanctions, and KYC/KYB controls across all production environments and establish a monitoring framework and associated metrics to support executive decisioning and ongoing maintenance of program and control operating effectiveness. You will work closely with the broader FCC organization, Product, Engineering, Operations, and regional leadership to turn testing insights into operational accountability, robust remediation, and a defensible compliance posture before global regulators and institutional banking partners. This role covers the APAC region (excluding China and Hong Kong) and is based in Singapore. In this role, you will be a key part of a global team, collaborating closely across regions to drive consistent FCC Monitoring & Testing standards. Responsibilities: Contribute to the strategic development, execution, and continuous evolution of the company's Global FCC Monitoring & Testing Programme, establishing robust, risk based testing methodologies and annual plans for independent second line assurance. Design comprehensive testing frameworks to validate core compliance controls across customer onboarding, periodic reviews, sanctions screening, transaction monitoring, and regulatory reporting workflows, ensuring coverage keeps pace with product and market expansion. Oversee the ongoing FCC monitoring program for APAC (excluding China and Hong Kong), including establishment of KPIs and operating effectiveness metrics. Advance the transition from traditional sample reviews toward continuous, data enabled assurance by leveraging data analytics, system logs, and automated testing scripts to evaluate compliance control performance at the population level. Oversee the independent validation of system encoded controls, including transaction monitoring thresholds, screening logic, and customer risk rating models, ensuring systems function as intended without logic drift or hidden control gaps. Translate complex testing outcomes and thematic trends into clear, decision useful reporting for executive leadership and governance forums, providing constructive challenge to stakeholders and tracking the root cause remediation of control deficiencies. Represent the FCC monitoring and testing function during regulatory examinations, internal or external audits, and banking partner reviews, confidently defending testing methodologies and control evidence. Who you are We're looking for people who meet the minimum requirements for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: Bachelor's degree in Finance, Accounting, Law, Information Systems, Business Administration, or a related quantitative/analytical discipline. CAMS certification or an ICA International Diploma in Governance, Risk, and Compliance (or equivalent professional credential). 7+ years of experience within FCC quality assurance, compliance monitoring, internal audit, or a related second/third line control function inside a fintech, payments, or highly regulated banking environment. Strong technical knowledge of financial crime controls across transaction monitoring, sanctions/PEP screening, customer due diligence, and digital KYC/KYB workflows. Proven mastery of risk based testing methodologies, including scoping, sampling, design and operating effectiveness assessments, issue writing, and remediation validation. A high ownership, pragmatic approach, with excellent written communication and stakeholder management skills to challenge senior partners constructively and drive operational accountability. Preferred qualifications: Advanced degree such as an MBA, Master's in Regulatory Compliance, Risk Management, or a related field. Professional assurance or audit certifications such as CAMS Audit, CISA, or CIA. Strong fintech and platforms experience, including exposure to cloud native, API driven, high growth global environments with significant cross border transaction volume. Strong data literacy, including comfort using SQL, Python, BI dashboards, or automated tools to support continuous control validation and population based testing. Experience partnering directly with Product, Data Science, and Engineering teams to validate automated rules, model driven controls, and rapid deployments within an agile product lifecycle. Applicant Safety Policy: Fraud and Third Party Recruiters To protect you from recruitment scams, please be aware that the company will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from email address. The company does not accept unsolicited resumes from search firms/recruiters. The company will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to the company on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at the company is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.
DeepL is seeking a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for its document translation multimodal and vision models. You will develop models that reason about document layout, fuse data sources, and drive breakthroughs from prototype to deployment. The role requires hands-on research, strong coding skills in Python and ML frameworks, and the ability to align research with product impact and real-world performance.
Aug 26, 2026
Full time
DeepL is seeking a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for its document translation multimodal and vision models. You will develop models that reason about document layout, fuse data sources, and drive breakthroughs from prototype to deployment. The role requires hands-on research, strong coding skills in Python and ML frameworks, and the ability to align research with product impact and real-world performance.
About the Role: Grade Level (for internal use): 11 Summary Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our risk analytics solutions are available deployed, in the cloud, or can be run as a service so we free up internal resources to focus on business priorities. Financial Risk Analytics is seeking a Senior Product Analyst in London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery. Responsibilities The Senior Product Analyst will work with product, financial engineering, data, technology, support, professional services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services. The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes, and operational documentation. The role will support the design and continuous improvement of data pipelines, APIs, integration services, controls, monitoring, observability, exception management, and automation across Market Data and Integration workflows. The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring; and act as a senior subject matter expert for internal stakeholders and client-facing teams on data flows, dependencies, constraints, and expected behaviour. All employees are required to work from the office a minimum of two days per week. Required experience Senior experience as a product analyst, business analyst, data analyst, implementation analyst, risk technology analyst, or similar role within financial services, market data, or analytics technology. Strong understanding of market data, reference data, pricing data, data quality, data lineage, data controls, and integration workflows. Mandatory experience analysing and documenting data pipelines, APIs, batch processes, event-driven workflows, databases, file-based interfaces, or cloud-based data platforms. Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation. Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis. Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default swaps, market risk, sensitivities, VaR, stress testing, curves, scenarios, pricing inputs, and model data requirements. Experience working with Agile delivery teams and collaborating across product, engineering, QA, support, financial engineering, and client-facing functions. Excellent analytical, communication, and problem-solving skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders. Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline. Final-stage candidates are required to attend at least one in-person interview, ordinarily at the nearest S&P Global office, before an offer can proceed. Preferred experience Experience with Risk Analytics, Buy Side Risk, Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering, golden-source design, curve construction, historical market data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit What's In It For You? Our Mission Advancing Essential Intelligence. Our People We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal Location: London, United Kingdom
Aug 26, 2026
Full time
About the Role: Grade Level (for internal use): 11 Summary Financial Risk Analytics provides products and solutions to financial institutions to measure and manage their market risk, counterparty credit risk, regulatory risk capital and derivative valuation adjustments. Using the latest analytics and technology such as a fully vectorized pricing library, Machine Learning, and a Big Data stack for scalability, our products and solutions are used by the largest tier-one banks to smaller niche firms. Our risk analytics solutions are available deployed, in the cloud, or can be run as a service so we free up internal resources to focus on business priorities. Financial Risk Analytics is seeking a Senior Product Analyst in London to join the Market Data and Integration team within Risk Analytics. The role will focus on workflow design, data pipeline requirements, integration patterns, validation controls, and operational improvements that support scalable risk analytics delivery. Responsibilities The Senior Product Analyst will work with product, financial engineering, data, technology, support, professional services, and client-facing teams to analyse requirements and design robust workflows for market data ingestion, enrichment, validation, transformation, integration, and delivery into Risk Analytics products and services. The role will translate business, analytical, and operational needs into clear specifications, data mappings, process flows, user stories, acceptance criteria, test scenarios, release notes, and operational documentation. The role will support the design and continuous improvement of data pipelines, APIs, integration services, controls, monitoring, observability, exception management, and automation across Market Data and Integration workflows. The Senior Product Analyst will investigate complex data and workflow issues using SQL, Python, logs, dashboards, and source-system analysis; support UAT, regression testing, release readiness, production validation, defect triage, and post-release monitoring; and act as a senior subject matter expert for internal stakeholders and client-facing teams on data flows, dependencies, constraints, and expected behaviour. All employees are required to work from the office a minimum of two days per week. Required experience Senior experience as a product analyst, business analyst, data analyst, implementation analyst, risk technology analyst, or similar role within financial services, market data, or analytics technology. Strong understanding of market data, reference data, pricing data, data quality, data lineage, data controls, and integration workflows. Mandatory experience analysing and documenting data pipelines, APIs, batch processes, event-driven workflows, databases, file-based interfaces, or cloud-based data platforms. Ability to write clear functional specifications, data mappings, user stories, acceptance criteria, test scenarios, and operational documentation. Hands-on capability with SQL and Python for data investigation, validation, reconciliation, prototyping, automation, or issue analysis. Essential knowledge of key financial instruments and risk analytics concepts, including bonds, equities, credit default swaps, market risk, sensitivities, VaR, stress testing, curves, scenarios, pricing inputs, and model data requirements. Experience working with Agile delivery teams and collaborating across product, engineering, QA, support, financial engineering, and client-facing functions. Excellent analytical, communication, and problem-solving skills, with the ability to explain complex data flows and operational issues clearly to technical and non-technical stakeholders. Background in Finance, Economics, Mathematics, Computer Science, Engineering, Data Science, or a related quantitative discipline. Final-stage candidates are required to attend at least one in-person interview, ordinarily at the nearest S&P Global office, before an offer can proceed. Preferred experience Experience with Risk Analytics, Buy Side Risk, Traded Market Risk, XVA, CCR, FRTB, portfolio risk, fixed income analytics, securitised products, liquidity risk, or managed risk-as-a-service solutions. Familiarity with Snowflake, Databricks, Spark, AWS, Azure, Confluence, Azure DevOps, Git, Tableau, Power BI, message queues, or comparable tools and platforms. Knowledge of market data vendors, data mastering, golden-source design, curve construction, historical market data, pricing services, scenario generation, or analytics input validation. Experience with observability, production support, automated controls, regression testing, reconciliation, model input validation, machine learning, NLP, or responsible AI applications in financial analytics. CFA, FRM, CQF, or other relevant professional qualification. About S&P Global Market Intelligence At S&P Global Market Intelligence, a division of S&P Global we understand the importance of accurate, deep and insightful information. Our team of experts delivers unrivaled insights and leading data and technology solutions, partnering with customers to expand their perspective, operate with confidence, and make decisions with conviction. For more information, visit What's In It For You? Our Mission Advancing Essential Intelligence. Our People We're more than 35,000 strong worldwide-so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all. From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference. Our Values Integrity, Discovery, Partnership Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals. Benefits Health & Wellness: Health care coverage designed for the mind and body. Flexible Downtime: Generous time off helps keep you energized for your time on. Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills. Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs. Family Friendly Perks: It's not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families. Beyond the Basics: From retail discounts to referral incentive awards-small perks can make a big difference. For more information on benefits by country visit: Global Hiring and Opportunity at S&P Global At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets. Equal Opportunity Employer S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment. If you need an accommodation during the application process due to a disability, please send an email to and your request will be forwarded to the appropriate person. US Candidates Only: Know Your Rights: Workplace discrimination is illegal Location: London, United Kingdom
The Company Lab 1 is a fast-growing cybersecurity startup, which identifies and interprets exposed data on behalf of our clients. Lab 1's AI SaaS platform analyses the full corpus of exposed corporate data in near real time, providing customers with the assurance that they'll know the unknown and reducing the risk, cost and anxiety associated with exposed data across complex supply chains. Salary is industry competitive (dependent on skills and experience), after a qualifying period you may be eligible for a share in the company through an options grant. The Role Using the power of AI and Machine Learning, we deliver compromised data intelligence on any company within any supply chain. The data that powers those insights, a vast, messy, constantly changing corpus of exposed and compromised information, is the heart of our product. We are hiring a Senior Data Engineer to own and evolve the pipelines and data platform that turn raw exposed data into reliable, queryable intelligence. You will design, build and operate the batch and streaming systems that ingest, transform, model and serve data at scale, feeding our analytics, our ML models and our customer-facing platform. You will be the go-to expert for how data moves through Lab 1, working closely with founders, platform and software engineers in a small, friendly, international team. We are looking for a versatile and proactive engineer who cares deeply about data quality, correctness and scale. Your primary focus will be owning our data pipelines end to end, while also working alongside our ML efforts on the early stages of the training pipeline (data cleaning and feature engineering) to make sure our models are built on trustworthy, well-structured data As a core member of the engineering team, your mission will be to make our data trustworthy, timely and easy to build on.You will spend your time understanding how the team and our models consume data, architecting robust pipelines, and delivering clean, well-modelled datasets that let us ship high-quality intelligence faster and more safely. Your work will be the foundation that enables us to solve some of our most interesting, urgent, and taxing problems. You will report to the Chief Data Officer. Required demonstrable experience in: Designing, building and operating production data pipelines end to end, across both batch and streaming Strong Python for data engineering, including hands-on PySpark at scale (AWS EMR) Strong SQL modelling, transforming and querying large datasets Streaming data with Kafka Ingesting large, heterogeneous, unclean data from many sources and making it reliable Lakehouse and data warehousing patterns: Apache Iceberg, Athena, S3, columnar formats (ORC) Workflow orchestration with Airflow Search and indexing with OpenSearch Infrastructure as Code, specifically Terraform Managing core AWS services Building and maintaining CI/CD pipelines, ideally with GitHub Actions Data quality, observability, lineage and cost awareness through effective monitoring Supporting ML/AI workflows through data cleaning and feature engineering for training pipelines We primarily work with: Python (Poetry, migrating to uv) PySpark on AWS EMR SQL Kafka Athena + S3 / Apache Iceberg (ORC) OpenSearch Airflow AWS Terraform GitHub Actions Docker We are interested in candidates who value: Team working Delivering measurable high quality software Keeping sight of the big picture Friendly technical discussions and whiteboarding This is a great opportunity to join a fast growing company at an early stage and make a significant contribution. The role will be remunerated through a salary and, after a qualifying period, you will be granted a meaningful share in the company through an options grant. Candidates must have the right to work in the United Kingdom. The role is remote first with occasional in-person meetings in London (or Norwich). Benefits 1. Company pension 2. Company options scheme
Aug 26, 2026
Full time
The Company Lab 1 is a fast-growing cybersecurity startup, which identifies and interprets exposed data on behalf of our clients. Lab 1's AI SaaS platform analyses the full corpus of exposed corporate data in near real time, providing customers with the assurance that they'll know the unknown and reducing the risk, cost and anxiety associated with exposed data across complex supply chains. Salary is industry competitive (dependent on skills and experience), after a qualifying period you may be eligible for a share in the company through an options grant. The Role Using the power of AI and Machine Learning, we deliver compromised data intelligence on any company within any supply chain. The data that powers those insights, a vast, messy, constantly changing corpus of exposed and compromised information, is the heart of our product. We are hiring a Senior Data Engineer to own and evolve the pipelines and data platform that turn raw exposed data into reliable, queryable intelligence. You will design, build and operate the batch and streaming systems that ingest, transform, model and serve data at scale, feeding our analytics, our ML models and our customer-facing platform. You will be the go-to expert for how data moves through Lab 1, working closely with founders, platform and software engineers in a small, friendly, international team. We are looking for a versatile and proactive engineer who cares deeply about data quality, correctness and scale. Your primary focus will be owning our data pipelines end to end, while also working alongside our ML efforts on the early stages of the training pipeline (data cleaning and feature engineering) to make sure our models are built on trustworthy, well-structured data As a core member of the engineering team, your mission will be to make our data trustworthy, timely and easy to build on.You will spend your time understanding how the team and our models consume data, architecting robust pipelines, and delivering clean, well-modelled datasets that let us ship high-quality intelligence faster and more safely. Your work will be the foundation that enables us to solve some of our most interesting, urgent, and taxing problems. You will report to the Chief Data Officer. Required demonstrable experience in: Designing, building and operating production data pipelines end to end, across both batch and streaming Strong Python for data engineering, including hands-on PySpark at scale (AWS EMR) Strong SQL modelling, transforming and querying large datasets Streaming data with Kafka Ingesting large, heterogeneous, unclean data from many sources and making it reliable Lakehouse and data warehousing patterns: Apache Iceberg, Athena, S3, columnar formats (ORC) Workflow orchestration with Airflow Search and indexing with OpenSearch Infrastructure as Code, specifically Terraform Managing core AWS services Building and maintaining CI/CD pipelines, ideally with GitHub Actions Data quality, observability, lineage and cost awareness through effective monitoring Supporting ML/AI workflows through data cleaning and feature engineering for training pipelines We primarily work with: Python (Poetry, migrating to uv) PySpark on AWS EMR SQL Kafka Athena + S3 / Apache Iceberg (ORC) OpenSearch Airflow AWS Terraform GitHub Actions Docker We are interested in candidates who value: Team working Delivering measurable high quality software Keeping sight of the big picture Friendly technical discussions and whiteboarding This is a great opportunity to join a fast growing company at an early stage and make a significant contribution. The role will be remunerated through a salary and, after a qualifying period, you will be granted a meaningful share in the company through an options grant. Candidates must have the right to work in the United Kingdom. The role is remote first with occasional in-person meetings in London (or Norwich). Benefits 1. Company pension 2. Company options scheme
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to own the foundational modelling decisions behind the next generation of our most capable translation models. This is a high-impact, hands-on role for a researcher who can prototype rapidly, run large-scale experiments, and drive modelling choices all the way into production. In this competitive and highly dynamic field, you will decide which foundation models we build on, which architectures we adopt as we scale, and how we adapt a strong base model into a highly capable translation system working side by side with our post-training, RL, and instruction-following experts. You will: Drive the selection and evaluation of open foundation / open-weight models as the basis for our next-generation translation systems. Lead model selection and general architecture decisions for scaling to hundreds of billions of parameters, including Mixture-of-Experts and other sparse or efficient designs. Design multi-capability adaptation strategies using LoRA, PEFT, and related methods. Own the modelling lifecycle for your work: prototyping, ablations, scaling experiments, evaluation, and delivery into production, with rigorous and reproducible evaluation. Partner closely with post-training, RL/RLHF, and instruction-following specialists to integrate alignment and capability work into the base model. Stay ahead of the open-model and scaling literature, and bring well-founded recommendations back to the team. Qualities we look for Strong hands-on experience adapting and scaling large language models via fine-tuning, instruction-tuning, or post-training of multi-billion-parameter models beyond black-box use. Sound judgment about architecture trade-offs at scale (e.g. dense vs. MoE) and about which open-weight foundation models to build on. Working knowledge of parameter-efficient and multi-capability adaptation (LoRA/PEFT and variants). A hands-on builder who enjoys training models, running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying uncertainty in large models - calibration and confidence estimation via Bayesian methods, ensembling, steering, or prompt-based approaches. Experience with machine translation, multilingual NLP, or document-/layout-aware modelling experience. Familiarity with MoE-specific training and adaptation (e.g. expert routing, Mixture-of-LoRA-Experts) and large-scale data-mixture design. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally. Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Aug 26, 2026
Full time
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to own the foundational modelling decisions behind the next generation of our most capable translation models. This is a high-impact, hands-on role for a researcher who can prototype rapidly, run large-scale experiments, and drive modelling choices all the way into production. In this competitive and highly dynamic field, you will decide which foundation models we build on, which architectures we adopt as we scale, and how we adapt a strong base model into a highly capable translation system working side by side with our post-training, RL, and instruction-following experts. You will: Drive the selection and evaluation of open foundation / open-weight models as the basis for our next-generation translation systems. Lead model selection and general architecture decisions for scaling to hundreds of billions of parameters, including Mixture-of-Experts and other sparse or efficient designs. Design multi-capability adaptation strategies using LoRA, PEFT, and related methods. Own the modelling lifecycle for your work: prototyping, ablations, scaling experiments, evaluation, and delivery into production, with rigorous and reproducible evaluation. Partner closely with post-training, RL/RLHF, and instruction-following specialists to integrate alignment and capability work into the base model. Stay ahead of the open-model and scaling literature, and bring well-founded recommendations back to the team. Qualities we look for Strong hands-on experience adapting and scaling large language models via fine-tuning, instruction-tuning, or post-training of multi-billion-parameter models beyond black-box use. Sound judgment about architecture trade-offs at scale (e.g. dense vs. MoE) and about which open-weight foundation models to build on. Working knowledge of parameter-efficient and multi-capability adaptation (LoRA/PEFT and variants). A hands-on builder who enjoys training models, running experiments, and debugging pipelines, and who can carry research results through to production with engineering. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow). Ability to communicate clearly, collaborate across teams, and align research work with product and engineering priorities. Nice to have Experience quantifying uncertainty in large models - calibration and confidence estimation via Bayesian methods, ensembling, steering, or prompt-based approaches. Experience with machine translation, multilingual NLP, or document-/layout-aware modelling experience. Familiarity with MoE-specific training and adaptation (e.g. expert routing, Mixture-of-LoRA-Experts) and large-scale data-mixture design. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together-literally. Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models. This is a high-impact, hands-on role for a researcher who can own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production. Your central focus is how we blend data and shape model behaviour after pre-training. You will fuse high-value human expert data with synthetic data, and you will lead the effort to make our translation models steerable, following custom user instructions, rules, and context. You will work with model architectures at the scale of hundreds of billions of parameters. You will: Drive the development of translation models that are steerable conditioned on user preferences, rules and context. Drive hands-on research and development on post-training for our core translation models: supervised fine-tuning, knowledge distillation, preference optimisation, and reinforcement learning tuned to translation quality. Build reward models and evaluator models for translation, including rubric- and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes. Drive an agenda toward models that ingest multimodal content and context to increase translation quality. Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimisation, and production deployment, working closely with engineering to ship into real-time systems at scale. Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production. Mentor researchers and engineers, promote hands-on collaboration, and raise the bar for model quality. Qualities we look for Proven experience making large models steerable and instruction-following by identifying the most effective method to instill a given behaviour, drawing from instruction tuning, latent space methods, steering vectors, and/or constrained encoding and decoding methods. Deep, hands on expertise in LLM post-training (SFT, DPO), knowledge distillation (teacher student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modelling). Strong data centric instincts for building synthetic data and preference data pipelines, LLM as judge generation, data curation and filtering, and reasoning about data mixtures and ablations. Experience designing evaluation and reward signals using automatic metrics, LLM as judge evaluation, non verifiable rewards, and human in the loop evaluation. A hands on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real world quality. Ownership of a substantial research direction with strong execution, and experience mentoring others on a fast moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine tuning and training large models at scale, including distributed/ multi node training (e.g. FSDP, DeepSpeed, or Megatron style frameworks) and efficient training techniques. Experience fine tuning existing reasoning models for specific tasks and behaviours without degrading their reasoning capabilities. Experience with machine translation, multilingual NLP, or language quality estimation. Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT LLM, etc) and long context modelling. Publications at top tier venues. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new joiner onboardings, to company wide events that bring us all together-literally. Monthly full day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. We can't wait to meet you! We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Aug 26, 2026
Full time
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well-being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, model-steerability, and reinforcement learning for the next generation of DeepL's LLM-based translation models. This is a high-impact, hands-on role for a researcher who can own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production. Your central focus is how we blend data and shape model behaviour after pre-training. You will fuse high-value human expert data with synthetic data, and you will lead the effort to make our translation models steerable, following custom user instructions, rules, and context. You will work with model architectures at the scale of hundreds of billions of parameters. You will: Drive the development of translation models that are steerable conditioned on user preferences, rules and context. Drive hands-on research and development on post-training for our core translation models: supervised fine-tuning, knowledge distillation, preference optimisation, and reinforcement learning tuned to translation quality. Build reward models and evaluator models for translation, including rubric- and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes. Drive an agenda toward models that ingest multimodal content and context to increase translation quality. Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimisation, and production deployment, working closely with engineering to ship into real-time systems at scale. Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production. Mentor researchers and engineers, promote hands-on collaboration, and raise the bar for model quality. Qualities we look for Proven experience making large models steerable and instruction-following by identifying the most effective method to instill a given behaviour, drawing from instruction tuning, latent space methods, steering vectors, and/or constrained encoding and decoding methods. Deep, hands on expertise in LLM post-training (SFT, DPO), knowledge distillation (teacher student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modelling). Strong data centric instincts for building synthetic data and preference data pipelines, LLM as judge generation, data curation and filtering, and reasoning about data mixtures and ablations. Experience designing evaluation and reward signals using automatic metrics, LLM as judge evaluation, non verifiable rewards, and human in the loop evaluation. A hands on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real world quality. Ownership of a substantial research direction with strong execution, and experience mentoring others on a fast moving, applied research team. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Nice to have Demonstrated experience fine tuning and training large models at scale, including distributed/ multi node training (e.g. FSDP, DeepSpeed, or Megatron style frameworks) and efficient training techniques. Experience fine tuning existing reasoning models for specific tasks and behaviours without degrading their reasoning capabilities. Experience with machine translation, multilingual NLP, or language quality estimation. Familiarity with inference and serving at scale (e.g. via vLLM, SGLang, TensorRT LLM, etc) and long context modelling. Publications at top tier venues. What we offer Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing-we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network. Open communication, regular feedback: as a language focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together. Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team's general locations and time zones to foster effective and seamless collaboration. Virtual Shares - An ownership mindset in every role. We believe everyone should share in our success, and that's why every employee receives Virtual Shares, linking your contribution directly to DeepL's growth and rewarding you with a stake in our future. Regular in person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new joiner onboardings, to company wide events that bring us all together-literally. Monthly full day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams-we value your initiatives, impact, and creativity. 30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally. Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way. If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. We can't wait to meet you! We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well- being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey: Language AI Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role for a researcher who can own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production. You will develop models that reason about document layout by fusing expert, real world and synthetic data, while leading efforts to make our translation highly steerable and adaptable. You will: Drive the development of vision and multimodal models for document, image and media translation, ranging from media ingestion and generation to end-to-end models. Drive hands-on research and development on post-training for our vision and/or multimodal models: supervised fine-tuning, knowledge distillation, preference optimization, and reinforcement learning tuned to translation quality. Build evaluator models for document and design quality, including rubric-and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes. Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment, working closely with engineering to ship into real-time systems at scale. Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production. Qualities we look for Proven experience with developing multimodal models, VLM, and/or vision models. Deep, hands-on expertise in model post-training, knowledge distillation (teacher-student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modeling). Strong data-centric instincts for building synthetic-data and preference-data pipelines, Model-as-judge generation, data curation and filtering, data augmentations, and/or reasoning about data mixtures and ablations. A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real-world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts, to communicate clearly and collaborate across teams, while staying grounded in product impact, user experience, and real-world performance. Nice to have Experience with machine translation, multilingual NLP, efficient long-context modeling, language quality estimation, or multimodal machine translation. Experience designing evaluation and reward signals using automatic metrics, Model-as-judge evaluation, non-verifiable rewards, and human-in-the-loop evaluation. Experience with multi-objective optimization, consistency models, unified multimodal generation. Experience with diffusion models. Publications at top-tier venues. We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Aug 26, 2026
Full time
Meet DeepL DeepL is a global AI product and research company focused on building secure, intelligent solutions to complex business problems. Over 200,000 business customers and millions of individuals across 228 global markets today trust DeepL's Language AI platform for human-like translation, improved writing and real-time voice translation. Founded in 2017 by CEO Jaroslaw "Jarek" Kutylowski, DeepL now has around 1,000 passionate employees and is supported by world-renowned investors including Benchmark, IVP, and Index Ventures. Our goal is to become the global leader in trusted, intelligent AI technology, building products that drive better communication, foster connections, and create a meaningful impact. To achieve this, we need talented people like you to join our journey. If you're ready to shape the future of AI and grow your career in a fast-moving, purpose-driven environment, DeepL is your next destination. What sets us apart What sets us apart is our blend of cutting-edge AI technology, meaningful work, and a culture where people truly thrive. We're a team of innovators, researchers, and creators driven by a shared purpose to unlock human potential by making work simpler, smarter, and more connected. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This might be because of our technology that helps millions of people and businesses communicate and work better every day, or because of the trust, curiosity, and care that shape our culture. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation, growth, and well- being. Discover more about life at DeepL on LinkedIn, Instagram, and our Blog. Meet the team behind this journey: Language AI Our Language AI teams form the foundation of DeepL's success. We are a dedicated group of researchers who collaborate closely with engineers, product managers, and designers. Our mission is to build the world's leading language AI system to deliver perfect translations for the most demanding use cases. To that end, we take responsibility for the entire life cycle of the machine learning models that power our language AI products. This includes data, training, quality assurance, and operational aspects. In our highly collaborative teams, each person has the scope to drive impact across the company. Your responsibilities We are looking for a Senior Research Scientist to lead fine-tuning, post-training, and reinforcement learning for the next generation of DeepL's document translation multimodal and vision models. This is a high-impact, hands-on role for a researcher who can own a major research direction, prototype rapidly, run large-scale experiments, and drive breakthroughs all the way into production. You will develop models that reason about document layout by fusing expert, real world and synthetic data, while leading efforts to make our translation highly steerable and adaptable. You will: Drive the development of vision and multimodal models for document, image and media translation, ranging from media ingestion and generation to end-to-end models. Drive hands-on research and development on post-training for our vision and/or multimodal models: supervised fine-tuning, knowledge distillation, preference optimization, and reinforcement learning tuned to translation quality. Build evaluator models for document and design quality, including rubric-and reference-based grading, and investigate and mitigate reward hacking and quality-estimation failure modes. Own the full lifecycle of model delivery: prototyping, ablations, training, evaluation, optimization, and production deployment, working closely with engineering to ship into real-time systems at scale. Establish strong practices for evaluation, reproducibility, monitoring, and continuous model improvement in production. Qualities we look for Proven experience with developing multimodal models, VLM, and/or vision models. Deep, hands-on expertise in model post-training, knowledge distillation (teacher-student training), and/or reinforcement learning (RLHF/RLAIF, PPO/GSPO, and reward modeling). Strong data-centric instincts for building synthetic-data and preference-data pipelines, Model-as-judge generation, data curation and filtering, data augmentations, and/or reasoning about data mixtures and ablations. A hands-on builder who enjoys training models, running experiments, debugging pipelines, and integrating ML systems into production while staying grounded in product impact and real-world quality. Strong coding and experimentation skills (Python, PyTorch/JAX/Tensorflow), and the ability to communicate clearly and align research with product and engineering priorities. Ability to lead complex research efforts, to communicate clearly and collaborate across teams, while staying grounded in product impact, user experience, and real-world performance. Nice to have Experience with machine translation, multilingual NLP, efficient long-context modeling, language quality estimation, or multimodal machine translation. Experience designing evaluation and reward signals using automatic metrics, Model-as-judge evaluation, non-verifiable rewards, and human-in-the-loop evaluation. Experience with multi-objective optimization, consistency models, unified multimodal generation. Experience with diffusion models. Publications at top-tier venues. We are an equal opportunity employer You are welcome at DeepL for who you are - we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.
Experience (In Years) 9-12 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role:Technical Engagement Manager Location: Halifax or London, United Kingdom (Hybrid working and travel to Halifax at least twice a month if UK-based) We are open to offering a Permanent position, however this role requires an immediate start We are seeking an experienced Engagement Manager to lead a strategic data modernisation engagement for a large financial services client. The individual will be accountable for the overall client relationship, delivery governance, stakeholder management, and successful execution of a large-scale data migration programme involving approximately 40 onsite and offshore resources. The ideal candidate will have a strong background in managing enterprise-scale Data Migration, Data Transformation, Data Warehousing, and Cloud Modernisation programmes, preferably involving the migration of legacy SAS-based platforms to Google Cloud Platform (GCP) using modern data engineering frameworks. This role requires a blend of executive stakeholder management, programme leadership, commercial oversight, delivery excellence, and technical understanding of large-scale data transformation initiatives. As part of your duties, you will be responsible for: Client Engagement & Relationship Management Act as the primary engagement lead Build and maintain strong relationships with senior business and technology stakeholders. Serve as the trusted advisor for programme strategy, delivery approach, risk mitigation, and transformation roadmap. Facilitate executive governance meetings, steering committees, and stakeholder reviews. Drive customer satisfaction and identify opportunities for account growth and value realization. Programme & Delivery Leadership Lead end-to-end delivery of large-scale data migration and modernisation programmes. Manage a multidisciplinary team of approximately 40 resources across onsite and offshore locations. Ensure delivery milestones, schedules, budgets, and quality objectives are achieved. Establish programme governance, reporting frameworks, KPIs, and risk management processes. Coordinate with business, architecture, engineering, testing, DevOps, and operational teams. Data Migration & Modernisation Oversight Drive migration of legacy data assets and reporting platforms to modern cloud ecosystems. Oversee migration planning, data validation, reconciliation, testing, and cutover activities. Ensure compliance with regulatory, security, and data governance requirements. Provide leadership in data architecture, data quality, and transformation strategy. Manage programme budgets, forecasts, resource planning, and utilisation. Track and report financial performance, risks, and delivery health.Support contract management, change requests, and scope management activities. Ensure effective offshore-onshore collaboration and productivity. Lead, mentor, and develop delivery managers, architects, and engineering teams. Drive continuous improvement, innovation, and operational excellence across teams. 16+ years of overall IT experience with at least 5+ years in client-facing engagement or programme management roles. Proven experience managing large-scale Data Migration and Data Modernisation programmes. Experience leading delivery teams of 30+ resources across global locations. Strong experience working with banking, financial services, or insurance organizations. Demonstrated success managing complex stakeholder environments and executive-level interactions. Experience with cloud migration initiatives and enterprise data platforms Preferred Experience Experience leading SAS Modernisation or SAS-to-Cloud Migration programmes. Experience with migration to Google Cloud Platform (GCP). Familiarity with modern data engineering technologies including: DBT BigQuery Dataflow Composer/Airflow Python SQL ETL/ELT frameworks Experience in banking environments, particularly risk, finance, regulatory, or customer data domains. Understanding of data governance, metadata management, data quality, and regulatory compliance. Qualifications and experience we consider to be essential for the role: As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
Aug 26, 2026
Full time
Experience (In Years) 9-12 Job Location London, United Kingdom Job Description EXL (NASDAQ: EXLS)is a global data and artificial intelligence ("AI") company that offers services and solutions to reinvent client business models, drive better outcomes and unlock growth with speed. EXL harnesses the power of data, AI, and deep industry knowledge to transform businesses, including the world's leading corporations in industries including insurance, healthcare, banking and financial services, media and retail, among others. EXL was founded in 1999 with the core values of innovation, collaboration, excellence, integrity and respect. We are headquartered in New York and have more than 60,000 employees spanning six continents. For more information, visit . Role:Technical Engagement Manager Location: Halifax or London, United Kingdom (Hybrid working and travel to Halifax at least twice a month if UK-based) We are open to offering a Permanent position, however this role requires an immediate start We are seeking an experienced Engagement Manager to lead a strategic data modernisation engagement for a large financial services client. The individual will be accountable for the overall client relationship, delivery governance, stakeholder management, and successful execution of a large-scale data migration programme involving approximately 40 onsite and offshore resources. The ideal candidate will have a strong background in managing enterprise-scale Data Migration, Data Transformation, Data Warehousing, and Cloud Modernisation programmes, preferably involving the migration of legacy SAS-based platforms to Google Cloud Platform (GCP) using modern data engineering frameworks. This role requires a blend of executive stakeholder management, programme leadership, commercial oversight, delivery excellence, and technical understanding of large-scale data transformation initiatives. As part of your duties, you will be responsible for: Client Engagement & Relationship Management Act as the primary engagement lead Build and maintain strong relationships with senior business and technology stakeholders. Serve as the trusted advisor for programme strategy, delivery approach, risk mitigation, and transformation roadmap. Facilitate executive governance meetings, steering committees, and stakeholder reviews. Drive customer satisfaction and identify opportunities for account growth and value realization. Programme & Delivery Leadership Lead end-to-end delivery of large-scale data migration and modernisation programmes. Manage a multidisciplinary team of approximately 40 resources across onsite and offshore locations. Ensure delivery milestones, schedules, budgets, and quality objectives are achieved. Establish programme governance, reporting frameworks, KPIs, and risk management processes. Coordinate with business, architecture, engineering, testing, DevOps, and operational teams. Data Migration & Modernisation Oversight Drive migration of legacy data assets and reporting platforms to modern cloud ecosystems. Oversee migration planning, data validation, reconciliation, testing, and cutover activities. Ensure compliance with regulatory, security, and data governance requirements. Provide leadership in data architecture, data quality, and transformation strategy. Manage programme budgets, forecasts, resource planning, and utilisation. Track and report financial performance, risks, and delivery health.Support contract management, change requests, and scope management activities. Ensure effective offshore-onshore collaboration and productivity. Lead, mentor, and develop delivery managers, architects, and engineering teams. Drive continuous improvement, innovation, and operational excellence across teams. 16+ years of overall IT experience with at least 5+ years in client-facing engagement or programme management roles. Proven experience managing large-scale Data Migration and Data Modernisation programmes. Experience leading delivery teams of 30+ resources across global locations. Strong experience working with banking, financial services, or insurance organizations. Demonstrated success managing complex stakeholder environments and executive-level interactions. Experience with cloud migration initiatives and enterprise data platforms Preferred Experience Experience leading SAS Modernisation or SAS-to-Cloud Migration programmes. Experience with migration to Google Cloud Platform (GCP). Familiarity with modern data engineering technologies including: DBT BigQuery Dataflow Composer/Airflow Python SQL ETL/ELT frameworks Experience in banking environments, particularly risk, finance, regulatory, or customer data domains. Understanding of data governance, metadata management, data quality, and regulatory compliance. Qualifications and experience we consider to be essential for the role: As part of a leading global Data and AI company, you can look forward to: A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension. EXL provides everyday financial well being solutions, such as cash back cards, in which you can earn cashback while enjoying discounts, promotions, and offers from top retailers. We also offer a Cycle Scheme where you can save money on bikes and cycling accessories. At EXL, we are committed to providing our employees with the tools and resources they need to succeed and excel in their careers. We offer a wide range of professional and personal development opportunities. We also support a range of learning initiatives that allow our employees to build on their existing skills and knowledge. From online courses to seminars and workshops, our employees have the opportunity to enhance their skills and stay up to date with the latest trends and technologies. As an Equal Opportunity Employer, EXL is committed to diversity. Our company does not discriminate based on race, religion, colour, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, age, or disability status. EXL employees are eligible to purchase stock as part of our Employee Stock Purchase Plan (ESPP). At EXL, we offer a flexible hybrid working model that allows employees to live a balanced, healthy lifestyle while strengthening our culture of collaboration. To be considered for this role, you must already be eligible to work in the United Kingdom.
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments. Now, with the world's energy system more complex and interconnected than ever before, sector specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead. Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose We are seeking a Senior Research Analyst to join our Europe Gas & LNG Markets team. The successful candidate will contribute to Wood Mackenzie's research and insight on European gas and LNG markets, helping clients understand the commercial, infrastructure, regulatory and market developments shaping the sector. Working closely with colleagues across Gas & LNG, Power and Carbon research, they will deliver analysis of market fundamentals, pricing, infrastructure, policy developments and emerging trends, with particular expertise in continental Northwest European gas markets. Main Responsibilities Content development Contribute to Wood Mackenzie's research and outlooks for European gas and LNG markets. Analyse market fundamentals including supply, demand, pricing, storage, infrastructure and trade flows. Assess the implications of national and European policy, regulatory and geopolitical developments on market outcomes. Develop insights on Northwest European gas markets, particularly Germany, the Netherlands and Belgium. Translate complex market developments into clear and commercially relevant insight for clients. Client engagement Engage with clients to understand business priorities and analytical requirements. Respond to client enquiries and support presentations, webinars and industry events. Help ensure research remains aligned with customer needs and market developments. Team contribution Support the development of colleagues through collaboration, knowledge sharing and coaching. Contribute to a positive and inclusive team culture. Requirements We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future. Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones. Applicants must have the legal Right to Work in the country this role is based in. We are unable to sponsor employment visas at this time. About You 4+ years of experience in European gas markets, energy, utilities, commodities, market analysis, commercial, strategy or regulatory roles. Strong understanding of European gas market fundamentals, including supply, demand, pricing, storage, transportation and market structure. Knowledge of gas infrastructure and transportation networks, particularly within Continental Northwest Europe. Understanding of the commercial drivers behind trading, procurement, investment and risk management decisions in energy markets. Knowledge of one or more key European gas markets, with expertise in Germany, the Netherlands and/or Belgium particularly valued. Strong understanding of European policy and governance, including the political and institutional dynamics that shape market outcomes, and the ability to identify developments with genuine commercial significance. Ability to understand customer requirements and translate complex questions into actionable insights. Strong analytical, written and verbal communication skills. Experience with market modelling, quantitative analysis, Python, SQL or similar analytical tools would be advantageous. Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the Top Workplace in the area.
Aug 26, 2026
Full time
Wood Mackenzie is the global leader in analytics, insights and proprietary data across the entire energy and natural resources landscape. For over 50 years our work has guided the decisions of the world's most influential energy producers, utilities companies, financial institutions and governments. Now, with the world's energy system more complex and interconnected than ever before, sector specific views are no longer enough. That's why we've redefined what's possible with Intelligence Connected. By fusing our unparalleled proprietary data with the sharpest analytical minds, all supercharged by Synoptic AI, we deliver a clear, interconnected view of the entire value chain. Our trusted team of 2,700 experts across 30 countries breaks siloes and connects industries, markets and regions across the globe. This empowers our customers to identify risk sooner, spot opportunities faster and recalibrate strategy with confidence - whether planning days, weeks, months or decades ahead. Wood Mackenzie Values Inclusive - we succeed together Trusting - we choose to trust each other Customer committed - we put customers at the heart of our decisions Future Focused - we accelerate change Curious - we turn knowledge into action Role Purpose We are seeking a Senior Research Analyst to join our Europe Gas & LNG Markets team. The successful candidate will contribute to Wood Mackenzie's research and insight on European gas and LNG markets, helping clients understand the commercial, infrastructure, regulatory and market developments shaping the sector. Working closely with colleagues across Gas & LNG, Power and Carbon research, they will deliver analysis of market fundamentals, pricing, infrastructure, policy developments and emerging trends, with particular expertise in continental Northwest European gas markets. Main Responsibilities Content development Contribute to Wood Mackenzie's research and outlooks for European gas and LNG markets. Analyse market fundamentals including supply, demand, pricing, storage, infrastructure and trade flows. Assess the implications of national and European policy, regulatory and geopolitical developments on market outcomes. Develop insights on Northwest European gas markets, particularly Germany, the Netherlands and Belgium. Translate complex market developments into clear and commercially relevant insight for clients. Client engagement Engage with clients to understand business priorities and analytical requirements. Respond to client enquiries and support presentations, webinars and industry events. Help ensure research remains aligned with customer needs and market developments. Team contribution Support the development of colleagues through collaboration, knowledge sharing and coaching. Contribute to a positive and inclusive team culture. Requirements We are a hybrid working company and the successful applicant will be expected to be physically present in the office at least 2 days per week to foster and contribute to a collaborative environment, but this may be subject to change in the future. Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones. Applicants must have the legal Right to Work in the country this role is based in. We are unable to sponsor employment visas at this time. About You 4+ years of experience in European gas markets, energy, utilities, commodities, market analysis, commercial, strategy or regulatory roles. Strong understanding of European gas market fundamentals, including supply, demand, pricing, storage, transportation and market structure. Knowledge of gas infrastructure and transportation networks, particularly within Continental Northwest Europe. Understanding of the commercial drivers behind trading, procurement, investment and risk management decisions in energy markets. Knowledge of one or more key European gas markets, with expertise in Germany, the Netherlands and/or Belgium particularly valued. Strong understanding of European policy and governance, including the political and institutional dynamics that shape market outcomes, and the ability to identify developments with genuine commercial significance. Ability to understand customer requirements and translate complex questions into actionable insights. Strong analytical, written and verbal communication skills. Experience with market modelling, quantitative analysis, Python, SQL or similar analytical tools would be advantageous. Equal Opportunities We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex (including pregnancy, sexual orientation, and gender identity), national origin, disability or protected veteran status. You can find out more about your rights under the law at If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Our Work Experience is the combination of everything that's unique about us: our culture, our core values, our company meetings, our commitment to sustainability, our recognition programs, but most importantly, it's our people. Our employees are self-disciplined, hard working, curious, trustworthy, humble, and truthful. They make choices according to what is best for the team, they live for opportunities to collaborate and make a difference, and they make us the Top Workplace in the area.
ace has partnered with a prestigious, leading international fund and corporate services organisation to appoint an experiencedData Science Leadwho will provide senior advisoryand technicalguidance across a foundational data programme, at the point where the structural decisions are being made. Our client is midway through asignificant changeagenda:consolidatinga fragmented core administration estate andinvesting seriously in clean data, consistent data processes, and data quality measurement. This is aseniorrole focused on judgementandoutput. You will sit alongside an internal data lead, a small data engineering function and an FP&A team, and your mandate is to make sure they build the right thing - bringing genuine data science fundamentals totheteam,challenging structural decisions before they become expensive, and leaving the organisation more capable than you found it. The successful candidate will be equally comfortable defending a modelling decision to a CTO and teaching a schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure - with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review of the team's own output, with structured feedback Define data quality dimensions, KPIs and measurement approach, and advise on how these are instrumented and reported. Assess the analytical readiness of the current data estate and set the sequencing for remediation and cleansing work. Deliver structured education and upskilling - working sessions and written standards - so capability persists beyond the engagement. Advise on the data governance implications of downstream AI and agentic tooling, including client-data segregation, permissible-usecontrolsand auditability. Provide a clear, honest read on where the client genuinely needs sustained data science capability versus where existing capability simply needs tuning. Substantial financial services domain experience - fund administration, corporate or fiduciary services, asset servicing, wealth,bankingor insurance. Candidates must understand the fundamentals of the business, not only the shape of the data. Senior practitioner background, typically 10+ years, with meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack - Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable experience defining data quality frameworks and KPIs in an enterprise setting. Evidenced capability-building experience. A material part of this role is raising the standard of an existing team. Executive presence and credibility with technology leadership and finance stakeholders. Comfortable operating at enterprise, not internet, data scale. Please note that this role is expected to 2or 3days per week,hybrid in London. Start date isideallyimmediate, with the ability to earn up to £1500 a day.
Aug 26, 2026
Full time
ace has partnered with a prestigious, leading international fund and corporate services organisation to appoint an experiencedData Science Leadwho will provide senior advisoryand technicalguidance across a foundational data programme, at the point where the structural decisions are being made. Our client is midway through asignificant changeagenda:consolidatinga fragmented core administration estate andinvesting seriously in clean data, consistent data processes, and data quality measurement. This is aseniorrole focused on judgementandoutput. You will sit alongside an internal data lead, a small data engineering function and an FP&A team, and your mandate is to make sure they build the right thing - bringing genuine data science fundamentals totheteam,challenging structural decisions before they become expensive, and leaving the organisation more capable than you found it. The successful candidate will be equally comfortable defending a modelling decision to a CTO and teaching a schema fundamental to an FP&A analyst. Responsibilities Define and govern the modelling approach for the client's new data mart: schemaselection, grain, conformeddimensionsand semantic layer structure - with explicit focus on avoiding decisions that foreclose future analytical or AI use cases. Establish data science fundamentals and good practice across the FP&A and data engineering teams: Modelling discipline, statistical rigour,reproducibilityand documentation standards Review of the team's own output, with structured feedback Define data quality dimensions, KPIs and measurement approach, and advise on how these are instrumented and reported. Assess the analytical readiness of the current data estate and set the sequencing for remediation and cleansing work. Deliver structured education and upskilling - working sessions and written standards - so capability persists beyond the engagement. Advise on the data governance implications of downstream AI and agentic tooling, including client-data segregation, permissible-usecontrolsand auditability. Provide a clear, honest read on where the client genuinely needs sustained data science capability versus where existing capability simply needs tuning. Substantial financial services domain experience - fund administration, corporate or fiduciary services, asset servicing, wealth,bankingor insurance. Candidates must understand the fundamentals of the business, not only the shape of the data. Senior practitioner background, typically 10+ years, with meaningful time in an advisory, lead or principal capacity where the deliverable was a recommendation rather than a model. Deepexpertisein dimensional data modelling, schemadesignand semantic layer architecture; able to articulate and defend the trade-offs between competing modelling approaches. Expert SQL; strong Python for analysis and validation. Practical experience of the Microsoft data stack - Fabric, Synapse, Power BI semantic models, and ideally Azure AI Foundry. Demonstrable experience defining data quality frameworks and KPIs in an enterprise setting. Evidenced capability-building experience. A material part of this role is raising the standard of an existing team. Executive presence and credibility with technology leadership and finance stakeholders. Comfortable operating at enterprise, not internet, data scale. Please note that this role is expected to 2or 3days per week,hybrid in London. Start date isideallyimmediate, with the ability to earn up to £1500 a day.
Help build and operate reliable, scalable and secure digital services that support UK businesses and trade . Department for Business, Innovation, Science and Trade (BIST), in partnership with Inspire People, is seeking a Senior Backend Engineer. Whilst the team primarily develops in Python, we welcome applications from experienced backend developers with Java, C#, Go or similar object-oriented prog click apply for full job details
Aug 26, 2026
Full time
Help build and operate reliable, scalable and secure digital services that support UK businesses and trade . Department for Business, Innovation, Science and Trade (BIST), in partnership with Inspire People, is seeking a Senior Backend Engineer. Whilst the team primarily develops in Python, we welcome applications from experienced backend developers with Java, C#, Go or similar object-oriented prog click apply for full job details
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Aug 26, 2026
Full time
London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs
Manager - Pricing - Centre of Excellence Business Area: Accounting Advisory Services, Assurance & Other business areas Contract type: Permanent Company overview KPMG is part of a global network of firms that offers Audit, Tax & Pensions, Consulting, Deal Advisory and Technology services. Through the talent of over 16,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. About the team Strategy and Value creation teams work with C-level Executives to identify, structure and solve their most critical strategic issues across the economic and transaction cycles. As part of a fast-paced and dynamic group, our consultants offer strategic advice on financial, business and operating models to corporate, public sector and private equity clients. About the role Within the Strategy & Value Creation team we have an established Pricing strategy practice, serving number of sectors including retail, consumer goods, healthcare, pharmaceuticals, transport and industrial manufacturing sectors serving UK, European and international clients. We work with C-level executives to identify, structure and solve their most critical strategic issues related to deal strategy, and growth strategy. KPMG's Pricing strategy practice is a specialised team focussed on solving pricing and revenue optimisation problems for its clients using data and analytics techniques to deliver a sustainable solution which can deliver both short- and long-term margin improvements. As a team, we are a group of bright committed individuals who are passionate about delivering fantastic client work, solving complex data related problems, investing our time in acquiring new analytical skills, and having fun both inside and outside of work. Manager: Responsibilities: We are recruiting for a Manager with Pricing / Data Analytics experience. The role is currently part of KPMG's Strategy and Value creation team based in London office and would have following core responsibilities: Manage workstreams / mid-sized projects delivering quality output on time, to budget and in compliance with KPMG engagement and risk management practices Comprehend client's requirements and be able to break it for the other members of the team Synthesise primary research and data gathering; identify key research areas and organise the junior team appropriately to effectively understand the key topics pertinent to the relevant industry sector and scope of work Understand current client data landscape and ability to direct the client teams to navigate correct source of data for driving key analysis with appropriate techniques and tools Help clients create a clear path to achieve their growth ambition through consideration of their markets, customers and propositions to create a sustainable strategy Plan initial hypotheses and analysis; formulate initial hypotheses based on previous experience, knowledge of the sector and understanding of the scope of work Manage the pace and delivery of projects, including: Day-to-day coordination with key project stakeholders including clients and other internal teams Upward management of senior team members to ensure progress is effectively communicated Reporting back to clients the key findings of our work Manage teams or individuals, and ideally has overseen significant parts of complex projects or programmes. And be able to ensure analytical work associated with multiple workstreams can be completed against tight deadlines and to an agreed standard Design, shape and co-ordinate the preparation of deliverables that span multiple workstreams, identifying insight and the 'so what' Communicate views and insights (both in writing and verbally) in an effective and compelling manner to clients and KPMG colleagues Anticipate and develop the answers to potential questions and challenges from the client Support Partners / Directors / Associate Directors community in business development activities Coach and develop team members providing high quality developmental feedback Identify, design and lead critical and complex practice development initiatives, coordinating other members of the team Proactively develop thought leadership; design and lead practice development initiatives Qualifications: Strong experience (at least 5-7 years) with strategy or analytics experience gained in corporate roles, analytic boutique and strategic consultancy firm A mix of structured problem-solving skills (including strong numerical capabilities combined with sound commercial acumen), ability to deliver insightful recommendations that can be practically executed, excellent written English and oral communication skills (other language skills would be a strong bonus) Substantial experience of delivering work into the sectors and topics we serve, such as pricing strategy, setting, implementation, for delivering high impact projects Experience using economic modelling and analysis by using tools such as Alteryx, Tableau, Python, SQL etc Understanding of machine learning techniques and practical experience of applying these techniques for commercial solving purposes Experience of developing pitches and thinking through proposals either through consulting sales or by demonstrating commercial acumen in industry roles for example to increase scope of work / identify new revenue streams Demonstrates a track record of interest in the workplace and achievement beyond the realms of project work Self-starter with ability to work independently with little guidance to lead teams to achieve results A first class or 2.1 degree from a leading institution in quantitative/analytical studies such as economics, maths, statistics, engineering or equivalent is a definite plus With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities. We don't accept speculative CVs from agencies - you can see our policy on agencies here: Similar vacancies you might be interested in Associate Director - People in Deals - Centre of Excellence Operations & Supply Chain Centre of Excellence (CoE) - Manager Director - Tech in M&A - Centre of Excellence
Aug 26, 2026
Full time
Manager - Pricing - Centre of Excellence Business Area: Accounting Advisory Services, Assurance & Other business areas Contract type: Permanent Company overview KPMG is part of a global network of firms that offers Audit, Tax & Pensions, Consulting, Deal Advisory and Technology services. Through the talent of over 16,000 colleagues, we bring our creativity and insight to our clients' most critical challenges. With offices across the UK, we work with everyone from small start-ups and individuals to major multinationals, in virtually every industry imaginable. Our work is often complex, yet our vision is simple: to be the clear choice for our clients, for our people and for the communities we work in. About the team Strategy and Value creation teams work with C-level Executives to identify, structure and solve their most critical strategic issues across the economic and transaction cycles. As part of a fast-paced and dynamic group, our consultants offer strategic advice on financial, business and operating models to corporate, public sector and private equity clients. About the role Within the Strategy & Value Creation team we have an established Pricing strategy practice, serving number of sectors including retail, consumer goods, healthcare, pharmaceuticals, transport and industrial manufacturing sectors serving UK, European and international clients. We work with C-level executives to identify, structure and solve their most critical strategic issues related to deal strategy, and growth strategy. KPMG's Pricing strategy practice is a specialised team focussed on solving pricing and revenue optimisation problems for its clients using data and analytics techniques to deliver a sustainable solution which can deliver both short- and long-term margin improvements. As a team, we are a group of bright committed individuals who are passionate about delivering fantastic client work, solving complex data related problems, investing our time in acquiring new analytical skills, and having fun both inside and outside of work. Manager: Responsibilities: We are recruiting for a Manager with Pricing / Data Analytics experience. The role is currently part of KPMG's Strategy and Value creation team based in London office and would have following core responsibilities: Manage workstreams / mid-sized projects delivering quality output on time, to budget and in compliance with KPMG engagement and risk management practices Comprehend client's requirements and be able to break it for the other members of the team Synthesise primary research and data gathering; identify key research areas and organise the junior team appropriately to effectively understand the key topics pertinent to the relevant industry sector and scope of work Understand current client data landscape and ability to direct the client teams to navigate correct source of data for driving key analysis with appropriate techniques and tools Help clients create a clear path to achieve their growth ambition through consideration of their markets, customers and propositions to create a sustainable strategy Plan initial hypotheses and analysis; formulate initial hypotheses based on previous experience, knowledge of the sector and understanding of the scope of work Manage the pace and delivery of projects, including: Day-to-day coordination with key project stakeholders including clients and other internal teams Upward management of senior team members to ensure progress is effectively communicated Reporting back to clients the key findings of our work Manage teams or individuals, and ideally has overseen significant parts of complex projects or programmes. And be able to ensure analytical work associated with multiple workstreams can be completed against tight deadlines and to an agreed standard Design, shape and co-ordinate the preparation of deliverables that span multiple workstreams, identifying insight and the 'so what' Communicate views and insights (both in writing and verbally) in an effective and compelling manner to clients and KPMG colleagues Anticipate and develop the answers to potential questions and challenges from the client Support Partners / Directors / Associate Directors community in business development activities Coach and develop team members providing high quality developmental feedback Identify, design and lead critical and complex practice development initiatives, coordinating other members of the team Proactively develop thought leadership; design and lead practice development initiatives Qualifications: Strong experience (at least 5-7 years) with strategy or analytics experience gained in corporate roles, analytic boutique and strategic consultancy firm A mix of structured problem-solving skills (including strong numerical capabilities combined with sound commercial acumen), ability to deliver insightful recommendations that can be practically executed, excellent written English and oral communication skills (other language skills would be a strong bonus) Substantial experience of delivering work into the sectors and topics we serve, such as pricing strategy, setting, implementation, for delivering high impact projects Experience using economic modelling and analysis by using tools such as Alteryx, Tableau, Python, SQL etc Understanding of machine learning techniques and practical experience of applying these techniques for commercial solving purposes Experience of developing pitches and thinking through proposals either through consulting sales or by demonstrating commercial acumen in industry roles for example to increase scope of work / identify new revenue streams Demonstrates a track record of interest in the workplace and achievement beyond the realms of project work Self-starter with ability to work independently with little guidance to lead teams to achieve results A first class or 2.1 degree from a leading institution in quantitative/analytical studies such as economics, maths, statistics, engineering or equivalent is a definite plus With offices across the UK, we are part of a global network of firms providing Audit, Tax & Law, Consulting, and Technology Services to diverse clients. They provide us with a strong sense of identity, ensuring we can grow stronger. They bind us together, across our different backgrounds and cultures, and are common to each of us. Explore more about why Our Values matter. From role sharing and flexible start and finish times to home working, we'll try and support the flexible work patterns that best suit you. We're committed to creating an inclusive environment where all colleagues thrive and reach their full potential, whatever their identity or background. We're a member of the Business Disability Forum so please get in touch if you'd like to discuss any adjustments that you might need in the application process - and if you are successful beyond this. We're a recognised leader in the Government's scheme. We offer a Guaranteed Interview Scheme for all experienced professional opportunities. We don't accept speculative CVs from agencies - you can see our policy on agencies here: Similar vacancies you might be interested in Associate Director - People in Deals - Centre of Excellence Operations & Supply Chain Centre of Excellence (CoE) - Manager Director - Tech in M&A - Centre of Excellence
Senior ML Engineer Foundation Models & CUDA TechTree's client is hiring a Senior ML Engineer to help build and scale a novel foundation model for automated software delivery in embedded systems. This is a deeply technical role for an engineer who has built large-scale foundation models, developed custom CUDA kernels, and scaled distributed ML systems in production. Location: London - On-site Employment: Full-time Estimated compensation: £100,000-£150,000/year + equity Level: Mid-Senior / Senior What you'll own Lead development and production deployment of a large-scale foundation model Design and implement custom CUDA kernels for performance-critical workloads Optimise training and inference across GPUs and distributed infrastructure Architect scalable ML systems with demanding reliability and performance requirements Profile and improve data pipelines, training loops, inference, and serving infrastructure Evaluate modern architectures including Mixture-of-Experts and state-space models Build internal tooling, benchmarks, evaluation systems, and observability infrastructure Work closely with founders on technical strategy and optimisation priorities Improve model quality, latency, scalability, and compute efficiency What we're looking for Deep professional experience with CUDA C/C++ Strong Python skills Experience building and shipping large-scale foundation models Proven custom CUDA kernel developmentExperience with distributed training and inference Strong knowledge of modern deep learning architectures Production expertise with PyTorch or another major ML framework Experience operating ML workloads on AWS, Azure, or GCP Strong understanding of ML observability, evaluation, and production SLOs Experience delivering complex systems in fast-moving environments Strong advantages Built a foundation model from 01 Early-stage AI startup or top-tier research lab experience Experience with MoE, state-space models, and advanced inference optimisation Built tooling that significantly improved engineering or research productivity Experience optimising large-scale GPU workloads for cost and performance Why consider this opportunity? Work on a genuinely novel foundation-model problem Significant technical ownership from day one Direct influence over architecture and ML strategy Work closely with an experienced founding team Competitive compensation plus equity
Aug 26, 2026
Full time
Senior ML Engineer Foundation Models & CUDA TechTree's client is hiring a Senior ML Engineer to help build and scale a novel foundation model for automated software delivery in embedded systems. This is a deeply technical role for an engineer who has built large-scale foundation models, developed custom CUDA kernels, and scaled distributed ML systems in production. Location: London - On-site Employment: Full-time Estimated compensation: £100,000-£150,000/year + equity Level: Mid-Senior / Senior What you'll own Lead development and production deployment of a large-scale foundation model Design and implement custom CUDA kernels for performance-critical workloads Optimise training and inference across GPUs and distributed infrastructure Architect scalable ML systems with demanding reliability and performance requirements Profile and improve data pipelines, training loops, inference, and serving infrastructure Evaluate modern architectures including Mixture-of-Experts and state-space models Build internal tooling, benchmarks, evaluation systems, and observability infrastructure Work closely with founders on technical strategy and optimisation priorities Improve model quality, latency, scalability, and compute efficiency What we're looking for Deep professional experience with CUDA C/C++ Strong Python skills Experience building and shipping large-scale foundation models Proven custom CUDA kernel developmentExperience with distributed training and inference Strong knowledge of modern deep learning architectures Production expertise with PyTorch or another major ML framework Experience operating ML workloads on AWS, Azure, or GCP Strong understanding of ML observability, evaluation, and production SLOs Experience delivering complex systems in fast-moving environments Strong advantages Built a foundation model from 01 Early-stage AI startup or top-tier research lab experience Experience with MoE, state-space models, and advanced inference optimisation Built tooling that significantly improved engineering or research productivity Experience optimising large-scale GPU workloads for cost and performance Why consider this opportunity? Work on a genuinely novel foundation-model problem Significant technical ownership from day one Direct influence over architecture and ML strategy Work closely with an experienced founding team Competitive compensation plus equity
Manager, Instock Management, Amazon EU fresh and Perishable Grocery Instock Job ID: Amazon EU SARL (UK Branch) Role can be based in Manchester or London Amazon EU Fresh & Perishable Grocery is seeking a Manager III, Instock Management to lead a high-performing team responsible for delivering exceptional customer availability, inventory health, and supply chain performance across Amazon Fresh UK. This leader will own end-to-end instock strategy across multiple grocery categories, balancing customer experience, operational efficiency, and cost through scalable supply chain solutions. The successful candidate will lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Product, Finance, and Technology teams to solve complex business problems and drive strategic initiatives. They will use deep analytical insight to influence senior stakeholders, improve vendor and supply chain performance, automate manual processes, and establish scalable mechanisms that raise the operational bar. Operating with significant autonomy, this leader will define strategic priorities, lead medium-to-large cross-functional programs, and deliver measurable improvements in availability, inventory productivity, and customer experience. They will also be responsible for developing high-performing talent, building an inclusive team culture, and creating long-term mechanisms that support Amazon Fresh's continued growth across the EU Fresh & Perishable Grocery business. Key job responsibilities Lead a team of Instock Managers to deliver best-in-class customer availability, inventory health, and operational performance across Amazon Fresh UK, while developing high-performing talent and fostering an inclusive, customer-obsessed culture. Own end-to-end instock strategy across multiple Fresh and Perishable Grocery categories, balancing customer experience, inventory productivity, cost, and supply chain efficiency through data-driven decision making. Partner with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Technology teams to identify root causes, influence strategic priorities, and deliver scalable cross-functional solutions that improve customer outcomes. Drive automation and process improvements by identifying opportunities to eliminate manual work, define system requirements, and influence technical teams to implement long-term scalable mechanisms across the business. Build strong relationships with strategic vendors and internal stakeholders to improve service levels, reduce lead times, remove waste, and enhance end-to-end supply chain performance. Lead medium-to-large strategic programs, establish performance mechanisms, define success metrics, and communicate business insights and recommendations to senior leadership, influencing decisions across the organization. Attract, hire, coach, and develop diverse talent while setting clear goals, maintaining high performance standards, and creating mechanisms that enable continuous learning and operational excellence. A day in the life No two days are the same. You'll lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Tech teams to improve customer availability and supply chain performance. You'll review key business metrics, dive deep into complex operational challenges, prioritize strategic initiatives, influence senior stakeholders, and drive scalable process and automation improvements. You'll coach and develop your team, engage with strategic vendors, and lead cross-functional programs that improve customer experience, reduce cost, and support the continued growth of Amazon Fresh EU. About the team The Amazon EU Fresh & Perishable Grocery Instock Management team is responsible for ensuring customers can reliably find the products they love while building a scalable, efficient, and resilient supply chain. We partner closely with Category, Vendor Management, Operations, Product, and Tech teams to solve complex supply chain challenges using data, automation, and innovation. Our culture is fast-paced, collaborative, and customer-obsessed, with a strong focus on ownership, continuous improvement, and developing leaders who deliver measurable business impact at scale. Basic Qualifications Bachelor's degree or equivalent, or experience in a relevant field Experience in a people management role, leading teams and growing organizations Experience in procurement, supply chain, inventory management, contract management, lease administration or operations Experience experience using data and metrics to measure impact and determine improvements Experience leading cross-functional projects and implementing strategic initiatives Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. Experience working in a fast-paced and ambiguous environment, or experience delivering results for large, cross-functional initiatives/projects Preferred Qualifications Master's degree, or MBA in supply chain management, operations, engineering, analytics or related field Experience in high impact roles in operations including Vendor Management, Supply Chain, and Retail Operations Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units Experience in creating process improvements with automation and analysis, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs Experience in strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis Experience working with Excel, reporting tools, and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau, or experience with advanced use of SQL for data mining and business intelligence Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience using complex financial models, KPIs, and data analysis to inform strategic business decisions and influence cross-functional stakeholders, with proven business impact (e.g., financial savings, operational improvements, or customer benefits) Experience working in a fast-paced and ambiguous environment, or experience in multiple finance and accounting roles Experience building, managing and coaching a team in a high-growth environment Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Aug 25, 2026
Full time
Manager, Instock Management, Amazon EU fresh and Perishable Grocery Instock Job ID: Amazon EU SARL (UK Branch) Role can be based in Manchester or London Amazon EU Fresh & Perishable Grocery is seeking a Manager III, Instock Management to lead a high-performing team responsible for delivering exceptional customer availability, inventory health, and supply chain performance across Amazon Fresh UK. This leader will own end-to-end instock strategy across multiple grocery categories, balancing customer experience, operational efficiency, and cost through scalable supply chain solutions. The successful candidate will lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Product, Finance, and Technology teams to solve complex business problems and drive strategic initiatives. They will use deep analytical insight to influence senior stakeholders, improve vendor and supply chain performance, automate manual processes, and establish scalable mechanisms that raise the operational bar. Operating with significant autonomy, this leader will define strategic priorities, lead medium-to-large cross-functional programs, and deliver measurable improvements in availability, inventory productivity, and customer experience. They will also be responsible for developing high-performing talent, building an inclusive team culture, and creating long-term mechanisms that support Amazon Fresh's continued growth across the EU Fresh & Perishable Grocery business. Key job responsibilities Lead a team of Instock Managers to deliver best-in-class customer availability, inventory health, and operational performance across Amazon Fresh UK, while developing high-performing talent and fostering an inclusive, customer-obsessed culture. Own end-to-end instock strategy across multiple Fresh and Perishable Grocery categories, balancing customer experience, inventory productivity, cost, and supply chain efficiency through data-driven decision making. Partner with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Technology teams to identify root causes, influence strategic priorities, and deliver scalable cross-functional solutions that improve customer outcomes. Drive automation and process improvements by identifying opportunities to eliminate manual work, define system requirements, and influence technical teams to implement long-term scalable mechanisms across the business. Build strong relationships with strategic vendors and internal stakeholders to improve service levels, reduce lead times, remove waste, and enhance end-to-end supply chain performance. Lead medium-to-large strategic programs, establish performance mechanisms, define success metrics, and communicate business insights and recommendations to senior leadership, influencing decisions across the organization. Attract, hire, coach, and develop diverse talent while setting clear goals, maintaining high performance standards, and creating mechanisms that enable continuous learning and operational excellence. A day in the life No two days are the same. You'll lead a team of Instock Managers while partnering with Category, Vendor Management, Supply Chain, Operations, Finance, Product, and Tech teams to improve customer availability and supply chain performance. You'll review key business metrics, dive deep into complex operational challenges, prioritize strategic initiatives, influence senior stakeholders, and drive scalable process and automation improvements. You'll coach and develop your team, engage with strategic vendors, and lead cross-functional programs that improve customer experience, reduce cost, and support the continued growth of Amazon Fresh EU. About the team The Amazon EU Fresh & Perishable Grocery Instock Management team is responsible for ensuring customers can reliably find the products they love while building a scalable, efficient, and resilient supply chain. We partner closely with Category, Vendor Management, Operations, Product, and Tech teams to solve complex supply chain challenges using data, automation, and innovation. Our culture is fast-paced, collaborative, and customer-obsessed, with a strong focus on ownership, continuous improvement, and developing leaders who deliver measurable business impact at scale. Basic Qualifications Bachelor's degree or equivalent, or experience in a relevant field Experience in a people management role, leading teams and growing organizations Experience in procurement, supply chain, inventory management, contract management, lease administration or operations Experience experience using data and metrics to measure impact and determine improvements Experience leading cross-functional projects and implementing strategic initiatives Experience communicating results to senior leadership, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc. Experience working in a fast-paced and ambiguous environment, or experience delivering results for large, cross-functional initiatives/projects Preferred Qualifications Master's degree, or MBA in supply chain management, operations, engineering, analytics or related field Experience in high impact roles in operations including Vendor Management, Supply Chain, and Retail Operations Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units Experience in creating process improvements with automation and analysis, or experience communicating complex information and solutions to senior stakeholders and influencing decisions Experience working with customers, technical teams, and management to collect requirements, describe software product features, and technical designs Experience in strategic sourcing including vendor negotiations, global contract management, process improvement, operational and financial analysis Experience working with Excel, reporting tools, and large-scale data mining tools, such as Power BI, Python, SQL, or Tableau, or experience with advanced use of SQL for data mining and business intelligence Experience communicating complex information and solutions to senior stakeholders and influencing decisions, or experience using complex financial models, KPIs, and data analysis to inform strategic business decisions and influence cross-functional stakeholders, with proven business impact (e.g., financial savings, operational improvements, or customer benefits) Experience working in a fast-paced and ambiguous environment, or experience in multiple finance and accounting roles Experience building, managing and coaching a team in a high-growth environment Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Fractal Analytics UK Limited is looking for a Senior AI / ML Engineer for a 12-month fixed-term contract in West London. This role offers a hybrid work model, requiring onsite presence for 2 days per week. The ideal candidate will design and optimize machine-learning models, maintain data pipelines, and supervise models in production. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch, along with strong analytical problem-solving skills.
Aug 25, 2026
Full time
Fractal Analytics UK Limited is looking for a Senior AI / ML Engineer for a 12-month fixed-term contract in West London. This role offers a hybrid work model, requiring onsite presence for 2 days per week. The ideal candidate will design and optimize machine-learning models, maintain data pipelines, and supervise models in production. Candidates should have proficiency in Python and experience with ML frameworks like TensorFlow and PyTorch, along with strong analytical problem-solving skills.
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Aug 25, 2026
Full time
Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i.e., cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems Our Story We're building Tomorrow's Connections Today. Liberty Global is a leading international converged connectivity and investment company focused on creating sustainable, long-term value for customers, employees and shareholders through the strategic management of three platforms - Liberty Telecom, Liberty Growth and Liberty Services. Liberty Telecom is a world leader in converged broadband, video and mobile communications services, delivering next-generation products through advanced fibre and 5G networks. It currently provides approximately 80 million connections through some of Europe's best-known consumer brands, including Virgin Media-O2 in the UK, VodafoneZiggo in The Netherlands, Telenet in Belgium, and Virgin Media in Ireland. With our substantial scale and commitment to innovation, we are building Tomorrow's Connections Today, investing in the infrastructure and platforms that empower our customers to make the most of the digital revolution, while deploying the advanced technologies that nations and economies need to thrive. Liberty Growth invests, grows and rotates capital into scalable businesses across the technology, media/content, sports and infrastructure industries with a portfolio of approximately 70 companies and various funds, including stakes in companies like ITV, Televisa Univision, Plume, EdgeConneX and AtlasEdge, as well as our controlling interest in the Formula E racing series. Liberty Services delivers innovative technology and finance services, generating approximately $600 million in revenue. Our scale enables us to transfer knowledge and expertise across our operations and investments, creating a dynamic family of brands united in the pursuit of innovation and excellence, with a commitment to building a culture where everyone feels they belong. And we're prioritizing diversity, equity and inclusion in our workplace and communities, while reducing our impact on the environment. We are using technology as a force for good; for our people, our partners and the planet. OUR FUTURE OUTLOOK IS EXCITING, TOGETHER Privacy Policy The data included in the candidate account (eg. your name, e mail address and CV; hereafter collectively "your data") will be processed by Liberty Global as the Controller for the purposes of candidate selection, placement and employment. Your data can also be shared with Liberty Global plc and/or its majority owned subsidiaries (collectively, the "Liberty Global Group" . click apply for full job details
Job Title: Python Developer (Contract, Hybrid) Job Description Overview We are seeking a Python Developer to join a high-performing regulatory technology team within a leading investment bank. The successful candidate will design and develop scalable solutions supporting regulatory reporting platforms, ensuring compliance with evolving financial regulations while processing high volumes of transaction data. This role combines hands-on software engineering, data analysis, platform enhancement, and close collaboration with regulatory and business stakeholders. Key Responsibilities Design, develop and maintain enterprise-grade Python applications supporting regulatory reporting and compliance functions. Partner with Business Analysts, Compliance teams and Transaction Reporting SMEs to translate complex regulatory requirements into technical solutions. Build highly scalable data processing pipelines capable of handling millions of daily financial transactions. Conduct detailed data analysis, investigations, and root-cause assessments relating to reporting breaches and regulatory inquiries. Develop reconciliation and validation frameworks to ensure reporting accuracy and data integrity. Support remediation initiatives through the design of historical replay and data reconstruction capabilities. Drive system enhancements focused on performance, reliability, auditability and operational resilience. Manage and support software releases through the full development lifecycle, including testing, deployment and production support. Collaborate with cross-functional technology teams to deliver regulatory change programmes and strategic platform improvements. Required Skills & Experience Strong commercial Experience developing applications in Python . Proven Experience within investment banking , capital markets or financial services environments. Experience building scalable, high-volume data processing solutions. Strong understanding of transaction processing, financial data flows and regulatory reporting systems. Experience developing APIs and web applications using Flask or similar Python frameworks. Advanced SQL and database development Experience, ideally with Oracle Database . Strong data analysis and manipulation skills using Pandas . Experience developing reconciliation, validation or control frameworks. Knowledge of software engineering best practices, CI/CD and release management. Excellent stakeholder engagement skills, with Experience working directly with business and regulatory reporting teams. Desirable Experience Experience with transaction reporting regulations such as MiFID II , EMIR , SFTR , or similar. Experience with Elasticsearch . Knowledge of event-driven architectures and data replay/reprocessing frameworks. Experience with scheduling and orchestration tools such as Quartz . Exposure to regulatory remediation programmes and audit-driven development practices. Understanding of parallel processing and distributed computing techniques. Technical Stack Python Flask Pandas Oracle Database Elasticsearch Quartz Scheduler Git CI/CD Tooling Location Bromley, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
Aug 25, 2026
Contractor
Job Title: Python Developer (Contract, Hybrid) Job Description Overview We are seeking a Python Developer to join a high-performing regulatory technology team within a leading investment bank. The successful candidate will design and develop scalable solutions supporting regulatory reporting platforms, ensuring compliance with evolving financial regulations while processing high volumes of transaction data. This role combines hands-on software engineering, data analysis, platform enhancement, and close collaboration with regulatory and business stakeholders. Key Responsibilities Design, develop and maintain enterprise-grade Python applications supporting regulatory reporting and compliance functions. Partner with Business Analysts, Compliance teams and Transaction Reporting SMEs to translate complex regulatory requirements into technical solutions. Build highly scalable data processing pipelines capable of handling millions of daily financial transactions. Conduct detailed data analysis, investigations, and root-cause assessments relating to reporting breaches and regulatory inquiries. Develop reconciliation and validation frameworks to ensure reporting accuracy and data integrity. Support remediation initiatives through the design of historical replay and data reconstruction capabilities. Drive system enhancements focused on performance, reliability, auditability and operational resilience. Manage and support software releases through the full development lifecycle, including testing, deployment and production support. Collaborate with cross-functional technology teams to deliver regulatory change programmes and strategic platform improvements. Required Skills & Experience Strong commercial Experience developing applications in Python . Proven Experience within investment banking , capital markets or financial services environments. Experience building scalable, high-volume data processing solutions. Strong understanding of transaction processing, financial data flows and regulatory reporting systems. Experience developing APIs and web applications using Flask or similar Python frameworks. Advanced SQL and database development Experience, ideally with Oracle Database . Strong data analysis and manipulation skills using Pandas . Experience developing reconciliation, validation or control frameworks. Knowledge of software engineering best practices, CI/CD and release management. Excellent stakeholder engagement skills, with Experience working directly with business and regulatory reporting teams. Desirable Experience Experience with transaction reporting regulations such as MiFID II , EMIR , SFTR , or similar. Experience with Elasticsearch . Knowledge of event-driven architectures and data replay/reprocessing frameworks. Experience with scheduling and orchestration tools such as Quartz . Exposure to regulatory remediation programmes and audit-driven development practices. Understanding of parallel processing and distributed computing techniques. Technical Stack Python Flask Pandas Oracle Database Elasticsearch Quartz Scheduler Git CI/CD Tooling Location Bromley, UK Rate/Salary .00 GBP Daily Trading as TEKsystems. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. TEKsystems is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. If you would like to exercise your privacy rights, please visit the "Contacting Us" section of our Online Privacy Notice at (url removed)/en-gb/privacy-notices for details on how to contact us. To protect your privacy and security, we may take steps to verify your identity, such as a password and user ID if there is an account associated with your request, or identifying information such as your address or date of birth, before proceeding with your request. If you are resident in the UK, EEA or Switzerland, we will process any access request you make in accordance with our commitments under the UK Data Protection Act, EU-U.S. Privacy Shield or the Swiss-U.S. Privacy Shield.
We are recruiting a Senior Software Engineer to join an established engineering software team developing software for advanced maritime navigation, surveillance and radar systems. This is a hands-on C++ software engineering role with responsibility across the full software development lifecycle (SDLC), from preliminary specification and software design through implementation, testing, verification and maintenance. The Role As a Senior Software Engineer, you will use strong engineering practices to develop software for innovative products and solutions while supporting and enhancing existing software in line with commercial and product requirements. Key responsibilities include: Specification, design, development, implementation, testing and maintenance of C++ software. Taking responsibility for all or an assigned portion of a software design through to verified software delivery. Software testing, verification and problem solving throughout the engineering lifecycle. Providing technical support and advice to less experienced software engineers. Acting as a technical liaison with customers, suppliers and engineering collaborators on software-related matters. Contributing to the continued development and improvement of complex engineering products and systems. Skills & Experience We are looking for: Excellent C++ programming and software development knowledge. Experience taking software projects through the software development lifecycle (SDLC). Good knowledge of Microsoft Visual Studio 2022/2026. Strong software design, software verification, analytical and problem-solving skills. Good written and verbal English communication skills. A degree in Software Engineering, Computer Science, Electronic Engineering or another relevant technical subject. Desirable Experience Experience with GUI, UX or HCI would be beneficial, alongside scripting languages such as Python or PowerShell. Knowledge of radar, maritime navigation, surveillance systems, ECDIS, embedded software, systems engineering or defence technology would also be advantageous. This opportunity could suit a Senior Software Engineer, Senior C++ Developer, C++ Software Engineer, Embedded Software Engineer or Software Design Engineer seeking technical ownership within a complex product engineering environment. You will have the opportunity to apply your C++ expertise across design, development and verification while contributing to technically sophisticated software products.
Aug 25, 2026
Full time
We are recruiting a Senior Software Engineer to join an established engineering software team developing software for advanced maritime navigation, surveillance and radar systems. This is a hands-on C++ software engineering role with responsibility across the full software development lifecycle (SDLC), from preliminary specification and software design through implementation, testing, verification and maintenance. The Role As a Senior Software Engineer, you will use strong engineering practices to develop software for innovative products and solutions while supporting and enhancing existing software in line with commercial and product requirements. Key responsibilities include: Specification, design, development, implementation, testing and maintenance of C++ software. Taking responsibility for all or an assigned portion of a software design through to verified software delivery. Software testing, verification and problem solving throughout the engineering lifecycle. Providing technical support and advice to less experienced software engineers. Acting as a technical liaison with customers, suppliers and engineering collaborators on software-related matters. Contributing to the continued development and improvement of complex engineering products and systems. Skills & Experience We are looking for: Excellent C++ programming and software development knowledge. Experience taking software projects through the software development lifecycle (SDLC). Good knowledge of Microsoft Visual Studio 2022/2026. Strong software design, software verification, analytical and problem-solving skills. Good written and verbal English communication skills. A degree in Software Engineering, Computer Science, Electronic Engineering or another relevant technical subject. Desirable Experience Experience with GUI, UX or HCI would be beneficial, alongside scripting languages such as Python or PowerShell. Knowledge of radar, maritime navigation, surveillance systems, ECDIS, embedded software, systems engineering or defence technology would also be advantageous. This opportunity could suit a Senior Software Engineer, Senior C++ Developer, C++ Software Engineer, Embedded Software Engineer or Software Design Engineer seeking technical ownership within a complex product engineering environment. You will have the opportunity to apply your C++ expertise across design, development and verification while contributing to technically sophisticated software products.
