Production engineer jobs in United Kingdom

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Our studios are considered one of the foremost motion picture and television production and post-production facilities in the world. They inform, engage, and transport audiences to new worlds. The key to that lies with our Studio Operations group, which includes areas like soundstage/backlot set rentals, events, design, culinary, construction, landscaping and much more. Whether it’s hosting an unforgettable studio tour, creating an optimal workspace, or equipping talent to tell the best stories, these teams lay the foundation for the memorable experiences we provide. Your New Role... We're looking for a technically minded problem-solver to join our Engineering team, providing hands-on support across our iconic Soho Square and brand new Greek Street locations. If you're passionate about technology and enjoy tackling everything from system troubleshooting to major installations, this is your chance to play a key role in delivering exceptional experiences for our clients and creative teams. From cinema screenings and cutting rooms to cutting-edge picture and sound environments, our Soho facilities are where world-class post-production comes to life! Your Role Accountabilities... • Assist with engineering support, system configuration and technical changes within screening, picture and sound departments., • Maintain, update and troubleshoot production hardware and software to ensure reliable operation., • Uphold the highest technical, operational and security standards throughout the facility., • Support the calibration of broadcast monitors, cinema projectors and audio systems., • Deliver installation, configuration and technical assistance for cutting rooms and client systems., • Provide technical support for staff, clients and production sessions., • Work closely with operational and management teams to ensure the seamless delivery of services and minimise disruption., • Provide cover in operating the screening theatres when the projectionist is not available., • Be part of the team of Fire Wardens to assist in ensuring the safety of all personnel on site. Qualifications & Experiences... • Operational support experience with Linux-based FilmLight Baselight and Autodesk Flame systems., • Strong understanding of digital cinema equipment, industry standards and post-production workflows., • Demonstrable expertise in picture monitor and projector technologies, including calibration., • Ability to perform audio monitor line-ups for mix stage environments., • Solid IT skills covering workstation assembly, configuration, troubleshooting and networking., • Proven experience supporting shared media storage platforms, including Avid Nexis, DDP, StorNext and GPFS., • Experience working effectively within a fast-paced post-production environment., • Good working knowledge of Linux, macOS and computer networking principles., • Familiarity with video and audio standards, together with supporting broadcast and post-production infrastructure., • Good understanding of current MPAA security standards and best practices. #SO #DLL Onsite Working - This role is advertised as Onsite, meaning all working hours and days (regardless of shift pattern) will be carried out at the place of work. Subject to any applicable laws, WBD / your Line Manager reserves the right to change this working agreement, where this is essential to business needs and upon reasonable notice to you. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at _ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our _ for instructions to submit your request.

Note this role will require travel between regional sites within London approx 50% of weekly time Operations is at the heart of everything Amazon does, and automation is one of the ways we optimize our processes. As an Automation Engineer, you’ll make sure that our automated systems are working at their best so that our customers get their orders on time. By exploring data on everything from control systems to sensors, you’ll maximize the availability of equipment at your sites. This role puts you at the forefront of Amazon’s emerging technology to solve complex productivity challenges. Key job responsibilities • Monitor, troubleshoot and repair issues with key systems, • Work with the EU Controls network to monitor, • Material Handling Equipment (MHE) metrics, • Provide data visualisations of troubleshooting to internal stakeholders, • Own or actively participate in continuous improvement projects run by the EU Controls network, • Work with different departments to ensure all systems are correctly documented and that accurate backup libraries are maintained, • Work with global colleagues to install and commission new equipment, • Support other sites in the EU Controls network as needed, • Interpret mechanical and electrical drawings, and develop improvement strategies for code conforming to IEC 61131-3 A day in the life As an Automation Engineer, you’ll be the site expert when it comes to keeping key automated systems running smoothly. You’ll be working with our automation machinery, from conveyors to sortation systems, and ensuring they’re working efficiently. If something has gone wrong or can be done better, you’ll take the lead in coming up with and implementing a solution. You’ll also share your expertise with your close colleagues. You’ll be keeping your Engineering Technicians up to date with device troubleshooting and preventative maintenance control training, so that your team can keep our automation systems in order. About the team Our Reliability Maintenance Engineering or RME team keep our equipment performing at its best. We're a technically minded team, made up of excellent team players and guided by experienced leaders. We work together to maintain, troubleshoot and repair equipment across our global network of fulfilment centres. Some of our people are leaders, who oversee the team as they work on exciting technology – some of which only exists at Amazon. From installing automated packaging systems to overseeing the general maintenance of a site to repairing key distribution equipment, our team handles most aspects of Amazon’s technical side. This includes keeping buildings legally compliant, so everyone is safe, and our sites are operating at maximum efficiency. There are lots of opportunities for progression, both within the RME team and more widely across Amazon. Everything we do focuses on reducing downtime in Amazon’s crucial operations sites, so customers get their orders on time. We often work during early or late hours to carry out maintenance with minimal disruption, including night shifts. If we spot a better way to do something, we have the skills and the opportunity to develop and introduce completely new processes or cutting-edge tech like Amazon Robotics and our Complex Item Sorter. • Experience with PLC controlled automation and issue diagnosis in a continuous process or production environment, • Experience with PLC-controlled automation, • Engineering Degree in UK Higher National Diploma (HND), Higher National Certificate (HNC), BTEC National Diploma and Certificate (OND/D), NVQ III/IV/V Engineering Manufacture (or similar), Ieng, CEng, ILM L3+ or a fully accredited apprenticeship with relevant follow on qualifications, • Experience supporting a wide range of different conveyors and sortation systems, • Speak, write, and read fluently in English, • Experience with at least one of the following tools: Microsoft Office, project management tools, EPLAN, Ladder Logic and structure programming from Siemens, Allen-Brady or Codesys PLCs, Ignition SCADA or similar platform, Human Machine Interface (HMI), EthernetIP, Profinet, Profibus and AS-i or other fieldbus networks, VFDs, safety gateways, and input and output devices 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.

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

Are you looking for new challenges and personal growth within Coca-Cola Europacific Partners? Then we have a great opportunity for you! Do you have a personality with the power to influence and connect? Can you sustain the pace to keep on growing? Will you make an impact with your desire to win? Reliability Engineer - Edmonton Contract - Permanent Closing date - 12th August 2026 Edmonton Operations produce 50 million cases of drinks per year across their 7 manufacturing lines. The site can produce up to 142,000 litres of drink every hour consisting of BIB, PET and Glass bottling. As a site Edmonton is single source production in GB for both Bag In Box and Oasis. The site employees over 250 people across Manufacturing, QESH, Distribution and Engineering. For the right candidate there is excellent career opportunities, both within the Edmonton Plant and further afield across other GB and Pan-European locations within the CCEP network. What to expect Reporting into the Maintenance Manager, the Reliability Engineer is a pivotal Site role and in partnership with your Asset Care Planner (ACP) you need to analyse and improve the equipment performance. Working in close partnership with the Production Manager it is graded as a Band 100 (professional banding) to reflect the level of responsibility, flexibility of hours and approach, plus the commitment required to deliver a demanding role in a Factory that operates 24/7. Key to the role are a number of core elements which you will be expected to master :- • The site currently operates its maintenance on 6 year life plans with modular and major overhauls. Your role with the ACP is the planning, scheduling and execution of these plans to ensure that line start up after overhaul, hits its targets for quality, safety and performance all within your budget (which you will have complete control of for your area)., • Reliability focuses on maintenance effectiveness and you will be expected to move the maintenance plans away from a check and inspect mentality to that of a measure and compare to a standard. To do this you will be expected to be able to organise maintenance improvement sessions using failure data, OEM’s and line teams to help design the best possible maintenance for your assets in order of criticality and using best practice reliability tools and techniques, • Act as a Safety role model and ensure all Quality, Environment, Health and Safety standards are fulfilled by CCEP and contractors, • Manage the annual Maintenance & Repair budget., • Lead coach and develop RCA’s. Measure the effectiveness of the countermeasures to ensure no re-occurrence., • Support the Engineering function on the development of investment projects and new initiatives., • Lead, develop and coach the Technicians to ensure they maximise their individual and team performance., • Manage the spare parts warehouse in an efficient way (high rotation, right safety stocks, handle write-offs, search of cheaper and reliable spares, etc), • Support the PM with analysis of performances losses and asset care KPI’s., • Skills & Essentials, • Understand the difference between reliability and maintenance, • Can demonstrate the implementation of reliability tools and techniques, • Can demonstrate effective planning and organisational skills required for major and minor overhauls, • NVQ Level 3 Mechanical/Electrical qualifications or equivalent., • Practical machinery maintenance within food processing environments with volatile demand, • Design asset care strategies, • Fluid with SAP PM and line information systems We are Coca-Cola Europacific Partners (CCEP) – a dedicated team of 42,000 people, serving customers in 31 countries, who work together to make, move and sell some of the world’s most loved drinks. We are a global business and one of the leading consumer goods companies in the world. We help our 2.1 million customers grow, and we are constantly investing in exciting new products, innovative technologies and fresh ideas. This helps us to delight the 600 million people who enjoy our drinks every day. From gender, age and ethnicity to sexual orientation and different abilities, we welcome people from all walks of life and empower unique perspectives. We recognise we’ve got some way to go, but we’ll get there with the support of our people. It’s them who drive our future growth. To find out more about what it’s like to work at and our culture we would welcome you to speak to one of our employees on our live chat platform, just click here to _ We recognise some people prefer not to participate in alcohol related sales, interactions, or promotions. If that’s true for you – please raise this with your talent acquisition contact who will advise you on whether this role includes activities related to our alcohol portfolio.

The Opportunity: As the Network Engineer, you will be a part of a team of network experts, managing the network delivery to completion and ensure hand-off to necessary support teams. You will administer aspects of large-scale projects and engineers, tests, documents, and deploys network infrastructure solutions. You will manage technical aspects of assigned projects, including planning and resolving issues. You will work independently to provide technical solutions to solve complex challenges for both IT-facing and business-facing customers. You will also ensure the successful implementation of technology projects by working with Solutions Architecture, Operations, information security, and other departments. You will report to the AVP of Network Infrastructure. The Day-to-Day: • Partner with Engineering to help implement proposed solutions for networking, • Provide and help to maintain documentation given to operations team to populate within confluence site, • Manage the Infrastructure environment with service oriented approach and efficient delivery to meet the customer needs, requirements and their service expectations, • Work with engineering to gauge the effectiveness of existing infrastructure systems; develop strategies for improving or further using these systems, • Manage the efficient daily operations and maintenance of the IT services with best practices, automation and orchestration capabilities and ensure effectiveness of the service, • Take end-to-end ownership to prevent and solve network issues, anticipate and avoid problems and in taking actions and optimizations, • Identify the areas for improvements and lead the effort in standardising processes, streamlining and making processes simple, • Provide technical escalation point for production support during normal business and off-hours Your Qualifications: • 2+ years' experience in Network Engineering, • Experience analysing new products and making recommendations for implementation, • Experience in data centre relocations, • Azure fundamentals (AZ900) and AZ700 Azure networking fluency, • Practical experience using Terraform to manage at scale, • Knowledge of Cisco routing and switching technologies, • Experience with WAN, Campus, Data Centre, Wireless, and networks at an enterprise scale, • Experience with Cisco SD-WAN technologies Viptela and Meraki, • Experience with firewalls and VPN devices, • Solid knowledge of infrastructure systems including compute, OS, hypervisor, network, storage, database and security, • Experience with load balancers Why Fisher Investments Europe: The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients’ best interests by using a simple and transparent fee structure and recognised European custodians. It’s the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including: • 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents, • 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays, • Enhanced maternity pay package with 16 weeks’ top up to full base pay for eligible employees, • $10,000* fertility, hormonal health and family-forming benefit, • A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions, • Gym subsidy of up to £50 per month, • Employee Assistance Program and other emotional wellbeing services, • A collaborative working environment that practises ongoing training, educational support and employee appreciation events, • This is an in-office role. Based on your role, tenure, and performance eligibility you may have the opportunity to participate in our hybrid work from home program. This program is subject to change. *Employees residing outside of the US will be eligible for the $10,000 equivalent in their local currency. FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER

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

Electrically Biased Maintenance EngineerLocation: HertfordshireSalary: £48KShift Pattern: Monday to Friday (6:00am-2:00pm / 2:00pm-10:00pm) No weekendThe RoleWe are seeking an Electrically Biased Maintenance Engineer to join a well-established manufacturing site in Watford. This role is ideal for an engineer with strong electrical and mechanical maintenance experience gained within a regulated manufacturing environment.You will be responsible for carrying out planned and reactive maintenance, fault finding, and continuous improvement activities across a range of production equipment and site services, ensuring high levels of reliability, safety and compliance.Key ResponsibilitiesCarry out electrical and mechanical maintenance on production equipment.Perform fault finding and troubleshooting on automated manufacturing machinery.Complete planned preventative maintenance (PPM) and reactive maintenance tasks.Work on conveyors, motors, drives, sensors and control systems.Support site utilities including HVAC, steam systems, compressed air and water systems.Ensure compliance with GMP standards and engineering safety procedures.Follow Lock Out Tag Out (LOTO), isolation and safe working procedures.Assist with continuous improvement and equipment reliability initiatives.Maintain accurate maintenance records and documentation.Candidate RequirementsApprentice-trained Engineer with an electrical bias.Previous experience within pharmaceutical, food, FMCG or manufacturing environments.Strong electrical fault-finding and maintenance skills.Good understanding of PLC-controlled equipment and automation systems.Experience with motors, drives, sensors, conveyors and control panels.Knowledge of preventative and reactive maintenance practices.Understanding of GMP, engineering compliance and health & safety procedures.Familiar with LOTO and isolation procedures.Desirable ExperienceExperience within a pharmaceutical manufacturing environment.Knowledge of utilities and site services including HVAC, boilers, compressed air and purified water systems.Continuous improvement mindset with strong problem-solving skills.TPBN1_UKTJ

Paris / LondonTechnology – Software Engineers /FR Executive/Cadre /Hybridðª Discover our galaxyJoin the Future of Work ! Malt is Europe's leading freelance marketplace, connecting over 1,000,000 talented freelancers with 100,000+ companies. Founded in 2013, we're transforming how work gets done through our tech-powered, human-centered platform. What makes us different:- A diverse team of 600 Malters across 6 European countries- A culture that champions equality (50% of our Comex are women) and inclusive growth- Backed by top investors including ISAI, Serena Capital, Eurazeo Growth, Goldman Sachs, and BPI- A mission to give everyone the freedom to work differentlyReady to help shape the future of work? Your next chapter starts here! ðªKey responsibilities Think product-first: You’ll work hand-in-hand with Product Managers and Designers to deeply understand user needs, challenge ideas, and co-create elegant solutions. You like to be part of the decision-making, not only execute what has been specced. Take the lead: You’ll own your features end-to-end. From first sketch to release (and beyond). You’re empowered to make decisions and trusted to do what’s right for the product.Build smart, ship fast: We deploy to production around 70 times a week. You’ll help us keep that rhythm by balancing speed, quality, and business impact.Be a partner, not an executor: You bring strong opinions, backed by experience and you’re not afraid to challenge the status quo when it makes sense.Level up the team: You share knowledge, put in place pair programming when it’s needed, review code with care, and bring others along on your journey. You help raise the bar.Our Tech StackFrontend: TypeScript, Vue.js, Nuxt, Internal Design System, Stencil.jsBackend: Kotlin, Java Spring Boot, Gradle, PostgreSQL, MongoDB, Elasticsearch, RabbitMQ, RedisPlatform: Google Cloud Platform, Kubernetes, Terraform, ArgoCD, Gitlab CI The AI Toolkit: We empower our devs with modern AI coding assistants and are building internal workflows and investigating as many uses as possible (docs, unit tests, migrations)Data: BigQuery, dbt, Looker, Spark, PythonLife @MaltRemote Culture: Strong remote culture with most of the team working full-remote from countries where Malt has a physical office and legal entity (France, Germany, Spain, Belgium, Netherlands, or UK).Tech Days: 15% of engineering time dedicated to technical project, , continuous training and learning, R&D and technology watch.Tech Conferences: Annual Product, Tech and Data workshop, annual Malt Tech Days, organized and presented by Malt’s engineering team. Opportunity to attend major tech conferences.About you ð§‍ðYou have 6+ years of professional experience in software development, with a first experience in a product company (SaaS, fintech, marketplace…)You're highly proficient in Java or Kotlin, and comfortable navigating complex backend architecture, APIs, and data models.You have a first experience working with Typescripts and eager to learn Nuxt and Vue.js.You have a “Product Engineer” approach: You think beyond the code. You’re curious about the “why” behind features, and you're proactive in proposing improvements and owning delivery from A to Z.You build with pragmatism: You know how to adapt your practices to the context. You have excellent knowledge of modern architecture, but you also know when you need to move fast and build disposable code.Autonomy: You are committed to improving the team's practices and know how to adapt your methods to suit the context.You own the whole lifecycle: building CI/CD, testing, observability, monitoring. Shipping is just one step. You make sure what you build works, lasts, and scales.Fluent in English, you are comfortable speaking and writing in an English-speaking environment.How to join the mission? ðScreening with Alex, our Talent Acquisition Manager, to better understand your background, aspirations and answer your questions (45 minutes)Interview with one of our Engineering Manager, to discuss your experience and the role in more detail (75 minutes)Technical assignment (homecase or livecase, you choose) to prepare and present in order to evaluate your hard skills (90 minutes)Final interview with Jean (VP Engineering) to discuss Malt’s long term vision (45 minutes)We will send you an interview guide so you can best prepare yourself.Malt is the perfect space to thrive personally and professionally ð«- Onboarding: Before easing into your new role, you’ll spend your first week learning about our culture, products, and services with other new joiners at our office in Paris- Equity: Every Malter is entitled to stock options - Malt sabbatical: Every three years, all Malters are entitled to a one month fully paid sabbatical leave- Free books: If you’re interested in learning more about any topic relevant to Malt’s business, just tell us the books you’d like to read, and we’ll order them for you—without any questions asked or approval processes to follow- Team building events organized every yearReady? Get your ticket to Malt ðª At Malt, we are committed to fostering an inclusive and diverse workplace. We recruit based on skills, experience, and potential, without any form of discrimination related to age, gender, sexual orientation, ethnicity, religion, or disability. Our mission is to create a work environment where everyone feels valued, respected, and safe to thrive.Your profile may be subject to background screening. For more information see our candidate privacy policy.We believe people hire people. While we use AI to help our team manage the high volume of applications we receive, it never replaces our personal touch. Think of AI as our administrative assistant—it helps us stay organized, but all final decisions are made by our Talent Acquisition team members who look for the unique value you bring.

Company DescriptionWe're ASOS, the online retailer for fashion lovers all around the world. We exist to give our customers the confidence to be whoever they want to be, and that goes for our people too. At ASOS, you're free to be your true self without judgement, and channel your creativity into a platform used by millions. Everyone needs some help showing up as their best self. We're Disability Confident Committed - let our Talent team know if you need any reasonable adjustments throughout the recruitment process Job DescriptionThe Senior Applied Diffusion Engineer will lead the development of controllable image generation systems focused on fashion, styling, and visual consistency. This role will design and productionise LoRA pipelines, outfit generation systems, virtual styling workflows, and advanced diffusion-based capabilities powering both internal creative tooling and future consumer-facing experiences. We are building an internal AI fashion generation platform to accelerate creative production, styling workflows, and next-generation customer experiences. The platform is centered around state-of-the-art diffusion models, controllable generation pipelines, and proprietary fashion data. Key Responsibilities Design, train, and optimise LoRA and fine-tuning pipelines for fashion-specific generation tasks. Develop controllable image generation systems using Flux, SDXL, ControlNet, IP-Adapter, and related tooling. Build production-ready ComfyUI workflows and custom nodes. Create outfit generation and visual styling pipelines grounded in ASOS product and styling data. Improve generation consistency, realism, garment fidelity, and brand alignment. Collaborate with Studios, Design, Marketing, and Product teams to operationalise GenAI workflows. Develop evaluation frameworks for image quality, style accuracy, and model performance. Work closely with platform engineers to optimise inference performance and GPU utilisation. Research and prototype new approaches in multimodal AI, and fashion generationQualificationsStrong experience with PyTorch and diffusion model ecosystems. Hands-on experience training LoRAs, DreamBooth models, or fine-tuning large vision models. Experience with Flux, Stable Diffusion XL, Diffusers, ComfyUI, ControlNet, and IP-Adapter. Strong understanding of computer vision concepts including segmentation, pose estimation, and embeddings. Experience building production ML systems and inference pipelines. Strong Python engineering skills. Experience with GPU optimisation, CUDA fundamentals, TensorRT, or ONNX is advantageous. Experience in fashion, e-commerce, creative tooling, gaming avatars, or virtual try-on is highly desirable. Additional InformationBeneFITS’ Employee discount (hello ASOS discount!) Employee sample sales 25 days paid annual leave + an extra celebration day for a special moment Discretionary bonus scheme Private medical care scheme Flexible benefits allowance - which you can choose to take as extra cash, or use towards other benefits Opportunity for personalised learning and in-the-moment experiences that enable you to thrive and excel in your role SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Retail

Founders Factory builds and funds startups together with exceptional entrepreneurs and the world's leading companies. Headquartered in London and operating globally, Founders Factory backs visionary founders with capital, dedicated support from a team of expert operators, and unrivalled access to a coalition of industry leading corporate partners. Since 2015, FF has backed 450+ portfolio companies helping them to secure over 500 enterprise pilots with blue chip corporate partners such as Aviva, Vonovia, Rio TInto, and HSBC. Our Studio partners with entrepreneurs at day one, developing new ideas, technologies and business models into high growth companies. About the VentureThe insurance industry is stuck in a legacy loop. Today, finding and deploying underwriting capacity is slow, opaque, and wildly inefficient—especially for new MGAs and insurtechs. We're here to change that.Konduit is building the rails for real-time insurance capacity allocation. Think Stripe for underwriting capital. We connect innovative MGAs with insurers via a standardized, intelligent platform, cutting deal times from 12 weeks to just 1, and transforming underwriting from a manual bottleneck into a dynamic marketplace.Backed by Aviva and incubated by Founders Factory, Konduit has a built-in unfair advantage: unrivalled industry credibility, access, and insights from inside the machine. We’re at the start of a category-defining journey and we’re hiring our founding team to help shape the future of insurance infrastructure.About the RoleAs Tech Lead / Founding Engineer, you will define the architecture, build the core platform, and shape the long-term technical vision of the company. You’ll work directly with the CEO across product, strategy, and commercial execution — while writing production code and shipping fast.You won’t just build the product. You’ll build the technical foundation of the company.What we’re looking for: Demonstrated ability to deliver product in a tech startup environmentExperience integrating third-party data providers and APIs in production environmentsExperience working with complex data models and multi-party workflowsExperience across full-stack web development, data analysis and applied AIAppetite for experimenting with new technologies and tools to drive innovation and creativity.Experience building products in regulated or highly structured industries (e.g. insurance, fintech, payments, health, govtech) would be a big advantageFamiliarity with compliance-aware system design (auditability, permissions, data lineage, security-by-default)Exposure to marketplace, platform, or workflow orchestration systemsPrior experience as an early or founding engineer at a startupResponsibilities include:Architecting and building the core Konduit platformDelivering MVP and onboarding early customersFeeding into product strategy and commercial goals to identify opportunities to quickly deliver customer valueEstablishing engineering best practices, infrastructure, and security foundationsDeveloping the Konduit canonical data model that underpins our platformIntegrating external data sources to power an intelligent allocation layerDepartment: London StudioType: Full timeLocation type: Onsite

Windows Engineer – PowershellQuant Capital is urgently looking for a Windows DevOps/Automation Engineer to join or well known Fintech50 client who produces software disrupting the wealth management market.The Windows Devops role has come around due to a more towards DevOps as well as an increase in clients. I am looking for an experienced Windows Engineer who has extensive automation experience looking to sit in a senior position with some technical leadership responsibilities. The automation engineer will work on our continuous delivery pipeline automating the infrastructure components, such as the OS build process, Active Directory, the deployment pipeline and the platforms running our production environment.Day to Day the Windows DevOps Engineer will:Design, delivery, automation, operations and management of platform Servers, physical and virtual.Deployment and testing of Windows 2016Design, delivery, automation, operations and management of platform storage systems and capacity planning.Design, delivery, automation, operations and management of platform security, including networks and endpoints.Design, implementation and operation of end-to-end platform monitoring systems.Development of operating system build processes.As a fintech company I am looking for Windows Engineers who like finance and technology, who wants to move up to head of infrastructure.This is a great opportunity to work in a challenging, high profile role within a successful small company with blue chip financial services clients. You will be working on interesting projects with highly experienced professionals. If you are passionate about delivering outstanding client service and want to take control of your own career progression then this role is for you.Windows DevOps Engineers/Automation Engineers should have:3 + years experience with Windows Systems/systems support/operations supportWindows Powershell DSCExcellent Powershell ScriptingAutomationBasic networking/TCP/IP as well as enterprise CiscoVirtualisation including Hyper-V 2012 R2 and SCVMM 2012r2.Active DirectoryMicrosoft platforms including Windows Server 2008R2/2012R2, IIS 7/8.Enterprise server estates including Blade systems and high-density Servers.Ideally Cloud platforms (IaaS/PaaS).Version ControlConfiguration management (currently use Ansible)Some knowledge/experience of Linux.Exposure to VMWAREExposure to AWS would be a big plusThis role suits a mid to senior level Windows Engineer who is keen ojn automation and what cloud computing has to add. The firm has a corporate feel but relies on entrepreneurship within its staff. It rewards on a pure merit basis with rapid progression actively encouraged. This team has a strong reputation in the market as breeding quick thinkers and adding real value to trading teams,My client is based near Kingston in LondonWindows, DevOps, Automation, Puppet, Chef, Ansible, Python, VMWare

Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack - empowering organizations to run AI across multi-vendor environments with centralized governance.The world’s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.How you'll make an impactYou will play a pivotal role in shaping Dataiku's product positioning, roadmap, and requirements for predictive analytics, machine learning, and GenAI under the responsibilities of the Director of Product Management in charge of Dataiku AI/ML offering. You will work with stakeholders across all parts of the business, including Engineering, Product, GTM, Partners, Marketing Operations, and Customer Success teams, to execute growth projects and new products and features.Your challenge is to identify and shape net new capabilities: innovations that are core additions to the product, discovered through deep customer engagement and validated before engineering commits. You are not here to maintain what exists in the long run, you will work with Technical Product Managers. You are here to find what's missing and make the case for building it.If you're ready to step into a role where your expertise leads to tangible, wide-scale impact, where every insight you gather shapes the future of our products, we're waiting for you!What you’ll be doingEmbed with strategic customers to run structured discovery (interviews, async collaboration, or on-site visits) to surface unmet needs before they're obvious to competitors.Analyze usage and customer data to identify gaps and opportunities to enhance customer success and to deliver new capabilities with distinct business value propositions, ultimately contributing to the company's financial goals.Analyze market forces and competition, engage with industry analysts and Dataiku teams to execute on Dataiku’s product strategy. Collaborate with the Product Marketing team to align and deliver on product positioning messages.Build working prototypes (UI mockups, agentic pipeline demos, opportunity memos) to validate hypotheses with customers before engineering commits.Synthesize field signals across accounts to distinguish incremental customer requests from genuine innovation opportunities (net new capabilities that would be core additions to the platform.)Define and champion innovation initiatives from discovery through to launch, at which point ownership transitions to Technical Product Managers for ongoing improvements and maintenance.At launch, partner with Technical Product Managers to produce enablement material for internal customers (Product Marketing and GTM Enablement) ensuring new capabilities and big delighters land with the right positioning, messaging, and field readiness.Maintain the product backlog for the initiatives you own, constantly anticipating and aligning with the global product strategy and the software engineering delivery capacity.Participate in the development, maintenance and education on the AI/ML roadmap. Articulate your team’s technology vision, requirements, goals and milestones to stakeholders.What you will NOT be doingManaging the full lifecycle of every feature you touch, your focus ends when a capability reaches steady state. You will focus on product discovery and prioritization to maximize value creation and minimize the risk of shipping the right solution to the wrong problem, not on managing maintenance priorities or driving small incremental improvements to existing capabilities.Product management focused on feature development, you work closely with your Technical Product Managers (PO) counterparts to ensure the engineering team gets what they need to deliver the capability at the right time, you do not dive into technical analysis.Shipping production solutions to customers. You build prototypes and demos to get clarity about the problem customers face or to support compelling roadmap presentations.Being evaluated on ARR. Example of success metrics are # of validated opportunities that made it into engineering commit, NPS of sessions with customers, time from discovery to roadmap entry.What you’ll need to be successful5+ years of experience in a similar role and a demonstrated ability to learn and thrive in front of a diverse audience in a very technical environment3+ years hands-on experience with building AI/ML solutions (e.g. advanced analytics, predictive analytics, GenAI-powered applications)Can prototype: Build and demo agentic applications in Dataiku or elsewhere, not just slides. You don't need to be a software engineer, but you produce tangible artifacts that make ideas testable.Ability to engage with business leaders and influence decisionsProven ability to influence cross-functional teams without formal authorityWhat are you waiting for!At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page.Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: reasonable-accommodations@dataiku.comProtect yourself from fraudulent recruitment activityDataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.

Paris / LondonTech – Engineering /Full Time /HybridJoin Pigment: Transforming Business Planning and Performance with AI Founded in 2019, Pigment stands out as one of the fastest-growing SaaS companies globally, redefining business planning and performance with our AI-powered platform. We empower organizations across diverse industries, including Consumer Packaged Goods, Retail, and Technology, to seamlessly integrate data, people, and processes, enabling them to plan and adapt rapidly. With a vibrant team of over 500 professionals across North America and Europe, and offices in Paris, London, New York, Toronto, San Francisco and Austin, Pigment has successfully secured nearly $400 million in funding from leading global venture capitalists. Our recognition as a Visionary in the 2024 Gartner Magic Quadrant for Financial Planning Software underscores our commitment to excellence, as we proudly partner with industry leaders like Unilever, Vinci, Kayak, Siemens, and Coca-Cola. At Pigment, we champion smart risks, celebrate bold ideas, and challenge the status quo—all as a united team. Every team member has the opportunity to make a significant impact and tackle ambitious challenges. Together, we pursue excellence with a collaborative spirit, continuously raising the bar to ensure strong performance and a proactive approach while fostering an environment of humility. If you are passionate about innovation and wish to collaborate with some of the brightest minds in the industry, we would love to hear from you!The OpportunityWe’re looking for an Engineering Manager Lead (EML) to own delivery and people leadership at the community () level.An EML is the go-to person for a community’s delivery: ensuring teams ship the right things, at the right time, with a clear escalation path when priorities, technical constraints, or execution realities don’t converge.The EML also manages and develops Engineering Managers (EMs) and Technical Leads (TLs) and partners closely with Community Tech Leads (CTLs), Product Management Leads (PMLs), Product Managers (PMs), and Engineering Program Managers (EPMs).This role reflects our accountability model: delivery accountability and people leadership are held together, with a clear interface to product and technical leadership.() A community is a group of teams with a common functional/technical purpose.The Foresight CommunityForesight is the community responsible for Pigment’s forward-looking product surface: helping customers model scenarios, understand what’s coming, and make better decisions under uncertainty.It typically spans multiple teams working on forecasting and what-if workflows, planning experiences, and the underlying capabilities needed to make those experiences fast, reliable, and explainable.What you’ll do1) Own community delivery (accountability + operating cadence)Be accountable to engineering leadership for delivery across multiple teams in the communityEnsure teams have clear priorities, sequencing, and commitments (scope/timeline/people), aligned with product priorities and technical constraints.Identify risks early (delivery delays, quality/production issues, team focus/inefficiencies, people performance) and drive resolution with TLs/EMs/partners.Maintain a written, legible status of the community’s key achievements, risks, and action plans.Lead key reporting moments (e.g., mid-quarter updates, community-level delivery reviews).2) Lead people and org effectiveness through EMs and TLsManage Engineering Managers and Technical Leads with clear expectations and regular coaching.Set standards for feedback, performance, calibration inputs, growth plans, and under-performance remediation when needed.Improve the system: structures, processes, rituals, and staffing approaches that increase execution speed and reduce friction.3) Drive staffing and community-level arbitrationPartner with CTLs and product leadership on staffing needs and constraints; drive the process to turn inputs into a committed plan.Resolve cross-team dependencies and trade-offs; ensure there is always a clear owner for escalation when alignment stalls.Represent the community in leadership forums; ensure decisions are translated into actionable plans.4) Partner with Product & Technical leadership with clear interfacesWork as a trio with PML and CTL:PML: business outcomes and product prioritiesCTL: technical approach and quality/safety barEML: committed plan & delivery landing, including escalation when neededCollaborate with EPMs (when staffed) to improve coordination and execution, while keeping accountability clear.What you will not be expected to doYou are not expected to own a single technical domain as “the expert.” Pigment separates technical decision ownership (TL/CTL) from people and delivery accountability (EML) to keep both healthy.You are not expected to be contribute as an engineer. (You may still code opportunistically, but it should not be required for delivery.)Who you areSignificant experience as an engineer in a progressive engineering environment: building and shipping software in production environments (you can evaluate plans and risks with credibility).Demonstrated experience leading engineering managers and/or senior IC leaders (e.g., EMs, TLs), including performance management and growth.Strong delivery leadership: you bring clarity, pace, and follow-through without creating noise or process theatre.Excellent judgment in trade-offs (scope/timing/quality/staffing), and comfort escalating when alignment can’t be reached quickly.Low-ego, high-standards leadership style; you build accountability and trust.Fluent in English (French not required).#LI-HYBRID#LI-LS1We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully, with candidate consent, and information will be treated confidentially.Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Thomson Reuters is hiring a Principal Engineer for HighQ, our enterprise collaboration platform for the legal industry, used by leading law firms worldwide to deliver digital services to their clients.This is a senior individual contributor role. The Principal Engineer sets technical direction across HighQ's most significant engineering work, owns outcomes from design through production, and is directly accountable for raising the engineering bar across the organisation. The role partners closely with directors, architects, and Staff engineers, and operates as a senior technical voice in decisions that span multiple teams.About the role:Evaluate and introduce new technologies and engineering practices that improve how the organisation builds and delivers software.Architect and design complex systems that are scalable, performant, and maintainable.Take technical ideas from concept to production, aligned with business priorities and technical strategy.Provide technical leadership and mentorship to engineering teams, raising the standard of work across the organisation.Contribute as a hands-on engineer. Write production code and review the work of others to hold the technical bar.Work with product, architecture, and engineering peers to turn business requirements into sound technical designs.Lead the engineering work behind HighQ's integration with modern AI and agent platforms, including the technical surfaces through which HighQ provides context and capability to AI systems.Drive reliability, scalability, and performance improvements on a platform serving demanding enterprise customers with significant data and workflow commitments.About you:Track record of designing, building, and delivering complex software systems in production.Operates effectively as a senior individual contributor, drives results independently, and is accountable for outcomes.Proficiency in Java and Python coupled with broad fluency across modern backend ecosystems including containerised services, relational databases, and distributed systems patterns.Deep command of software engineering fundamentals and how they apply in practice.Demonstrated ability to set architectural direction across multiple teams and be accountable for the outcome.Experience driving reliability, scaling, or performance work in production systems.Familiarity with AI/LLM integration patterns, including the engineering practices that make AI features dependable in production (evals, monitoring, context management).Generates and advances technical ideas that produce meaningful business outcomes.Strong communicator. Articulates complex technical ideas clearly to engineering and non-engineering audiences alike.#LI-LT1What’s in it For You?Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.Culture: Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.About UsThomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments. At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them. Sound exciting? Join us and help shape the industries that move society forward.As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.Learn more on how to protect yourself from fraudulent job postings here.More information about Thomson Reuters can be found on thomsonreuters.com.SummaryLocation: United Kingdom, LondonType: Full time

ML Ops EngineerRole OverviewWe’re hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: you’ll design and operate data pipelines that feed models, and you’ll build the tooling that trains, deploys, monitors, and retrains them.You’ll work closely with research engineers and product teams, taking models from experimentation to production-grade systems with clear SLAs, reproducibility guarantees, and observable behaviour. This is not a research role; it is a hands-on engineering role focused on making ML systems work reliably at scale.What You’ll Work OnML lifecycle infrastructureProductionizing models: packaging, deployment, versioning, and rollbackDesigning CI/CD pipelines for ML (training validation deployment)Implementing model monitoring (data drift, prediction drift, performance decay)Managing experiment tracking and reproducibilityData engineering foundationsBuilding and maintaining batch and near–real-time data pipelinesEnsuring data quality, schema evolution, and lineage across systemsDesigning datasets and feature pipelines that support both training and inferenceOperating pipelines with clear reliability and latency expectationsOperational ownershipDefining and meeting availability, latency, and freshness targets for ML servicesDebugging production issues across data, infrastructure, and model layersImproving system robustness through automation and observabilityCollaborating with platform and security teams on access, secrets, and complianceEngineering rigorWriting production-grade Python used in long-running services and pipelinesEstablishing testing, validation, and release practices for ML systemsMaking trade-offs explicit between research flexibility and production stabilityRequired Qualifications3–7 years of professional experience in ML Ops, Data Engineering, or adjacent backend rolesStrong production Python skills (clean APIs, testing, performance awareness)Experience deploying and operating ML models in production environmentsSolid understanding of:Model training vs. inference requirementsBatch vs. streaming data pipelinesFailure modes in data-driven systemsHands-on experience with at least one modern orchestration or workflow systemComfort working with cloud infrastructure and containerized workloadsAbility to reason about system design, not just tool usageNice-to-HaveExperience operating systems at TB-scale data volumes or higherPrior ownership of model monitoring, drift detection, or automated retrainingFamiliarity with feature stores or online/offline feature consistency problemsExperience supporting multiple models or teams on a shared ML platformExposure to regulated or high-reliability production environmentsTech Stack (Current & Expected Evolution)Languages: Python (core)ML & Data: PyTorch / similar frameworks, experiment tracking, structured datasetsPipelines & Orchestration: Workflow schedulers for batch and near-real-time processingDeployment: Containers, model serving frameworks, infrastructure-as-codeObservability: Metrics, logging, and alerting across data and model layersCloud: Managed compute, storage, and networking (provider-agnostic mindset)The stack will evolve. We value engineers who understand why systems are built a certain way and can adapt tools as requirements change.Why This Role MattersOur models only create value when they are correct, observable, and dependable in production. This role is responsible for that reality. You’ll reduce the gap between promising experiments and systems that can be trusted by downstream products and customers.If you care about data correctness, operational clarity, and building ML systems that don’t silently fail, this role gives you direct leverage over the success of our entire ML platform.CMC Markets is an equal opportunities employer and positively encourages applications from suitably qualified and eligible candidates regardless of gender, sexual orientation, marital or civil partner status, gender reassignment, race, colour, nationality, ethnic or national origin, religion or belief, disability or age.SummaryLocation: London; WarsawType: Full time

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.The RVP, Priority Support Engineering - EMEA reports into the Head of Global Support and owns paid support offerings end-to-end for their designated Region. Operating in an environment of both direct reports and matrixed relationships, the ideal candidate has a proven track record of either leading premium support / designated technical advisory organizations OR selling and positioning technical solutions to enterprise customers in a senior field role, with revenue accountability either way.This role brings together a mix of responsibilities with multiple areas of critical focus. The RVP maintains relationships at all levels with Customers, Sales Leadership, Solutions Engineering, Delivery Teams, Operations Teams, and Key Partners. They are expected to sustain KPIs across multiple disciplines including Revenue, Attach, Consumption, Retention, and Staffing.Snowflake's paid support offerings are designed to deliver value customers feel, through both quality reactive interactions and proactive, advisory-led engagement, measured on the outcomes that matter to their business. The RVP leads the regional Designated Support Engineer (DSE) team, the post-sales production support force that delivers Priority Support today and will scale as our paid support portfolio expands. Reactive support sits with separate leadership; the DSE team collaborates closely with that org on escalations and reactive delivery health for paid customers, but is purpose-built for the proactive, paid program experience and the sales motion that drives it. This role is key to making that proactive shift real for paying customers, turning premium support from a faster ticket queue into a measurable lever on workload health, consumption growth, and long-term value.This is an AI-native role. The RVP leads both the DSE team and customer engagements through AI-augmented ways of working, using AI to anticipate workload risk, scale proactive advisory, and surface insights at a depth and speed that was not possible before. We are actively building the AI-augmented engagement model the team runs on; the RVP is expected to continue to build and evolve the playbook as the technology and the tooling mature. Both the leader and the team operate AI-natively in how they engage customers, manage workloads, and deliver value.RESPONSIBILITIESServing CustomersBuild deep technical and executive relationships with strategic customers in the region to ensure paid support programs are positioned to serve current and future workloads on Snowflake.Accountable for Customer Satisfaction, retention, and successful post-sales delivery of paid support engagements against committed scope, SLAs, and outcomes.Lead the DSE team's contribution to the proactive, advisory-led support model: architectural reviews, proactive risk assessments, and identification of root-cause patterns on recurring issues.Collaborate closely with reactive support leadership to ensure reactive delivery health is strong for accounts under paid support coverage, including joint visibility into case load, response-time performance, and incident trends, with shared accountability when paid customers need both arms of support working in concert.Partner with Snowflake field teams on post-go-live consumption health, proactively identifying workloads at risk of stalled adoption, blockers limiting consumption growth, and architectural opportunities to expand value, mobilizing the DSE team on the path to resolution.Own executive sponsorship and the customer narrative for at-risk paid support accounts; coordinate with reactive support leadership on escalation paths when their resources are required.Owning the Sales Cycle for Paid Support ProgramsOwn the regional sales cycle for paid support programs by partnering with Snowflake Regional Sales VPs and Solutions Engineering Directors to position the right paid support program with each customer based on their workload profile, criticality, and growth trajectory.Lead the Go-to-Market motion for paid support in the assigned region, including attach to net-new deals, expansion within the existing customer base, and conversion at renewal.Engage directly with customers and Sales counterparts to articulate the value of paid support, scope the right program fit, and influence the support component of the commercial proposal. (Production delivery sits with the DSE team post-sale; this engagement is positioning, not pre-sales technical discovery.)Define and operationalize the Solutions Engineering/FDE/Engineering Solutions/Service Delivery-to-DSE handoff: a documented model for transferring technical and account context from pre-sales and custom engagements into post-sales production support without a dropped baton.Communicate pipeline activity to Global Support leadership and to regional Sales leaders frequently; leverage executives appropriately and strategically to gain alignment and overcome customer objections.Accountable for regional revenue targets for paid support programs.Practice ReadinessBuild, hire, and lead the regional Priority Support team, including Designated Support Engineers, front-line managers, and any specialist roles needed to scale post-sales production support.Recruit and develop talent who can grow with the function; coach front-line managers in advisory engagement, executive presence, and commercial fluency.Communicate pipeline activity and forward demand to Resource Management and Delivery to ensure visibility into upcoming DSE coverage needs.Establish operating cadence: weekly forecast, monthly business review, quarterly customer outcome review with regional Sales VPs.Proactively contribute to the development of paid support program policies, procedures, pricing input, and packaging signal back to Global Support leadership and Revenue Operations.Monitor team performance; provide coaching, counseling, and motivation to maximize delivery quality and commercial outcomes.Lead the DSE team as an AI-native function: set the standard for AI-augmented engagement delivery, predictive workload analysis, and AI-driven customer insights at scale. Build a team that uses AI fluently in everyday delivery, not as a side project.Technical ExpertiseDemonstrate detailed Snowflake product knowledge: vision, platform architecture, and the technical use cases customers run on Snowflake at scale.Understand the technical complexities of the modern data and AI cloud, the competitive environment, and confidently address customer concerns about adoption, migration, performance, and cost.Provide strong consultative skills and a clear understanding of paid support engagement models: what each program delivers post-sale, where the value lands for customers, and how to position the right fit.REQUIREMENTSOn Day One We Will Expect You To Have:Sales-minded leader with 10+ years in enterprise customer-facing roles, with a track record of either (a) leading a paid support, premium services, designated technical advisory, or signature success-style organization, OR (b) selling and positioning technical solutions to enterprise customers in a senior field role at a cloud, data, or SaaS company (e.g., Sales Engineering, Sales Architect, Specialist Sales, Customer Engineering). Either path qualifies.Proven track record carrying or owning a revenue target tied to attach, expansion, or renewal in a customer-facing function (e.g., Sales Engineering, Professional Services, Premium Support). You can read a forecast and run a deal review.5+ years of leadership experience managing a multi-layered organization in a high-growth SaaS or cloud environment; demonstrated ability to coach front-line managers.Knowledge of the data warehousing, data management, analytics, AI, and/or cloud computing space.Experience selling and positioning technical solutions to enterprise customers and managing to commercial targets while working closely with cross-functional teams: sales, pre-sales, legal, marketing, finance, and product.Comfort operating inside transformation: you have moved a team from one operating model to another (e.g., reactive to proactive, cost center to revenue contributor) and can talk specifically about what worked and what did not, OR you have been part of a transformation as a senior individual contributor and can articulate how you would lead one.Executive-level communication and customer-facing presence; confident presenting both technical solutions and business impact to C-level customer audiences.Comfortable with Salesforce or other leading CRM tools.Demonstrated experience leading teams or running customer engagements using AI-native or AI-augmented approaches; comfort championing AI-driven delivery in a customer-facing function, articulating to customers how AI augments human advisory rather than replaces it, and evolving the operating model as new capabilities emerge (you are joining an active build, not inheriting a finished playbook).Strongly PreferredDirect experience launching or scaling a designated engineer, solutions architect team, TAM, or premium support program at a cloud data platform, hyperscaler, or enterprise SaaS company (e.g., Databricks, AWS, Google,Microsoft, Salesforce, ServiceNow, Red Hat, MongoDB, Oracle).Internal Snowflake field experience (Solutions Engineering, Solutions Architect ) with deep relationships into regional Sales VPs and a track record of customer wins on technical solutions.Strong program, project, and process management skills.KEY PERFORMANCE INDICATORSRegional revenue targets for paid support programs, including attach to net-new license deals, expansion within the customer base, and conversion at renewalSnowflake consumption health and growth on accounts under paid support coverageCustomer outcome metrics: NPS lift on paid support cohort; reduction in customer generated cases on accounts under DSE coverage; improvement in time-to-value on key workloadsProactive engagement coverage: cadence and quality of architectural reviews, health assessments, and risk reviews delivered to paid accountsHire-to-headcount targets within given timeframes; manager bench depthEngagement delivery quality and effective management of regional team objectivesEvery Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.How do you want to make your impact?For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.comLocationGB-LondonEmployment TypeFull timeDepartmentGlobal Support

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.Job CategorySalesJob DetailsAbout SalesforceSalesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.At Salesforce, we are seeking outstanding individuals to join our team as an Apromore Solution Engineer with a strong technical background and deep expertise in process intelligence, data engineering, and AI-driven solutions. In this role, you will go beyond traditional pre-sales; you will be pivotal in bridging the gap between process perception and reality, designing bespoke B2B solutions, and acting as a trusted technical advisor to safely guide enterprise clients through their automation and Agentic AI adoption journey.About ApromoreApromore is a global leader in AI-driven process intelligence technology. Now part of Salesforce, Apromore provides organizations with an "Intelligent Process Twin" to gain complete operational transparency. As enterprises rush to scale AI, Apromore bridges the gap between process perception and reality, acting as the critical backbone that enables organizations to systematically discover, de-risk, deploy, and govern Agentic AI automation across the enterprise.About the RoleAs a key technical anchor within our Apromore Specialist team, you will partner directly with Account Executives to advance and close enterprise opportunities by establishing deep technical credibility. This is a hands-on, high-impact role requiring pre-sales depth and engineering mastery. You will target, among others, enterprise clients who are scaling AI into production, leveraging Apromore's process intelligence capabilities to precisely identify high-propensity, high-ROI use cases for AI agents (such as Agentforce). You will guide C-level executives and technical stakeholders away from broad anecdotes and align them onto data-driven, value-backed technical solutions.What you’ll be doing:Run Great Technical Discovery: Partner with AEs to conduct comprehensive technical discovery sessions. Analyze sophisticated business problems, uncover real technical blockers, mapping architecture constraints to design optimized "To-Be" processes.Prototyping & Hands-on Implementation: Act as a "builder" by constructing Proof of Concepts (PoCs) and minimum viable prototypes. Ingest historical event logs into Apromore to capture factual baselines and empirically validate the technical feasibility of proposed agentic automations, replatforming initiatives, and cost-saving opportunities.Data Configuration & Architecture: Guide customers on end-to-end data connectivity. Assist client teams in designing robust process data models, building efficient ETL/processing pipelines, and seamlessly integrating enterprise data ecosystems (such as Salesforce Data Cloud, Snowflake, or legacy ERPs).Deliver Value-Based Technical Messaging: Fluent in both "API" and "ROI," you will translate working prototypes into solid business cases. Help executive decision-makers across Automation/AI, Digital Transformation, Operational Excellence, and Risk & Compliance understand how process optimization maps to financial business impact.De-Risk Agentic AI Deployments: Help customers envision and safely activate autonomous AI agents. Employing your technical depth, demonstrate how clean process context, clear handoffs, and well-understood workflows are required to deploy agents safely, productively, and within trust guardrails.Deliver Training & Consultancy Projects: Lead and execute professional service engagements in process intelligence, technical onboarding, and specialized training programs for enterprise clients. Serve as the primary consultant to ensure successful customer adoption, guiding their teams on advanced process intelligence methodologies and execution best practices.Scale Engineering Impact: Contribute to the broader solutions community by building reusable assets, reference architectures, demo innovations, and mentoring junior Solution Engineers.What you should have:5+ Years of Experience in customer-facing technical selling roles (Solution Engineer, Technical/Solution Architect, Forward Deployed Engineer) or technical project delivery roles.Process Intelligence Expertise: Background working with process analytics, process mining, task mining, process simulation and data-driven business process management concepts.Strong Data Engineering Skills & Builder Credibility: Experience working with SQL, Python and building data pipelines and API integrations.AI Fluency: Familiarity with LLMs, prompt engineering, and agentic orchestration frameworks.Sales Instinct & Commercial Curiosity: An understanding of how pre-sales fits into a complex enterprise deal cycle. You are energized by solving technical puzzles that directly unlock commercial success.Exceptional Relationship Building: Proven ability to connect and communicate technical concepts fluidly to diverse stakeholders, ranging from C-suite executives to IT infrastructure and database teams.Education: Bachelor’s degree in Computer Science, Software Engineering, Data Science/AI, or equivalent.Characteristics:An outstanding blend of technical depth, strategic business acumen, and low-ego collaboration.An agile, "roll-up-your-sleeves" layout to problem-solving that favors progress over perfection.Intellectual openness and the ability to comfortably navigate ambiguity.Unleash Your PotentialWhen you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.AccommodationsIf you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates’ resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.We are a recognised Disability Confident member under the UK Government Disability Confident employer scheme. We are committed to providing an inclusive recruitment process and will offer an interview to disabled applicants who meet the essential criteria for the role. Applicants are welcome to opt-in to the interview scheme as part of the application process. If you would like to apply under the scheme, please click the link to the Accommodations Request Form above and scroll to the UK Disability Confident Scheme section within the form.Posting StatementSalesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that’s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications – without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.SummaryLocation: United Kingdom - LondonType: Full time

THE AI ACCELERATORMost diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator’s mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data to identify novel therapeutic targets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest. A core component of the AI Accelerator is AI Enablement, a team that provides the support framework to make our ambitions a technical reality. It could be provisioning integrated, multimodal biomedical data for model training and inference. It could be managing the lifecycle of models provided by AI Systems. It could be working with IT to ensure the right infrastructure and tooling are in place. AI Enablement ensures that the model builders can focus on the technology and that Computational Innovation’s downstream users can leverage accelerator capabilities for real portfolio impact. THE POSITIONWe are seeking two Senior Data Engineers, one with a medical imaging focus and one with a multi-omics focus, to join the AI Enablement team and contribute to the design and delivery of robust data engineering pipelines that transform harmonised biomedical datasets into AI-ready, integrated assets across multi-omics, clinical and health records, and medical imaging data. You will be an experienced, independent data engineer within AI Enablement, owning significant data engineering workstreams within the broader technical direction and architecture set by the Senior Staff Data Engineer. The pipelines and integrated datasets you build will enable model training, fine-tuning and inference in a production setting. Key Responsibilities Build and maintain entity linking pipelines that connect patients, samples and other biomedical entities across modalities such as imaging, clinical and multi-omics records Build and maintain cross-modal integration pipelines that combine linked imaging, mulit-omics and clinical records, each with different formats, scales and structures, into unified assets ready for multimodal model training, fine-tuning and inference Ensure pipelines and datasets are built and operated in accordance with data access permissions, consent conditions and usage restrictions, including within Trusted Research Environments or other controlled access settings Build and maintain biomedical benchmark datasets with versioning and documentation Write clean, well-tested, well-documented code that meets the required engineering standards and contribute to code reviews within the data engineering team Stay current with advances in data engineering tooling and practices relevant to biomedical AI Required Qualifications PhD in Machine Learning, Computer Science, Bioinformatics, Computational Biology or a related quantitative field Strong hands-on experience in data engineering for machine learning with proficiency in modern data engineering tech stacks Experience working with medical imaging modalities (radiology and/or histopathology) or multi-omics modalities (transcriptomics, proteomics) and a working knowledge of other biomedical data modalities sufficient to support cross-modal integration Practical experience with entity linking or record linkage, ideally in a biomedical or clinical context, and a strong understanding of biomedical data characteristics such as variant data formats, expression matrices and clinical coding standards such as SNOMED and ICD-10 Familiarity with data governance frameworks applicable to biomedical and clinical data and Trusted Research Environments or controlled access biomedical data environments This is a hybrid role with approximately 3 days a week in the office WHY THIS IS A GREAT PLACE TO WORKBoehringer Ingelheim has been recognised as a Top Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies.To learn more about why BI is a great place to work, visit:

London, UKTechnology – Software Engineering /Full Time /HybridAbout TodayTix Group:TodayTix Group (TTG) is the global e-commerce leader for cultural experiences, designing frictionless discovery and purchase journeys through innovative product design and industry-leading technology. Our portfolio of brands––including TodayTix, New York Theatre Guide, London Theatre, Show-Score, Arthouse, Arthouse London, and Secret Cinema––connects millions of customers with the best in live entertainment.Powered by vast data and insights, TTG helps theatres, producers, and cultural institutions reach highly engaged audiences and unlock meaningful revenue, transforming how tickets are sold across the world.In 2025, TTG entered a new chapter as part of MARI, the global events and experiences company powering world-defining live experiences. Together, we’re expanding our reach, deepening our impact, and accelerating a shared vision to redefine the event lifecycle through seamless discovery, purchase, and engagement.Life atTodayTix GroupWe thrive in a nimble, growth-oriented environment where adaptability, curiosity, and a bias toward action help us stay ahead of the curve. We move quickly, iterate often, and expect everyone to take ownership of their impact - because we're building the future of live events, and there’s no script for what comes next.New joiners are set up for success with a 90-day onboarding journey, complete with clear goals and measurable milestones. We believe feedback fuels growth, so we hold twice-yearly performance reviews focused on impact and development.Above all, you’ll be working alongside a team of collaborative, passionate, and kind humans - people who love theatre and live experiences, and who support each other just as much as they challenge each other to do great work. We are seeking outstanding applicants of all backgrounds to join our team to bring new voices, talent, and perspectives to the table. We encourage all to apply.About the Role: We're looking for a Lead Data Engineer to join TodayTix Group and own how we scale our data platform — the backbone connecting product, growth, finance, and CX to a single source of truth, plus increasingly the substrate AI tooling across the company queries directly. You'll lead the team that owns the project end-to-end — staging, intermediates, and marts — plus the CI/CD pipeline and Snowflake platform underneath it.This is a technical leadership role, not a heads-down modelling one — most of your time goes to architecture, review, technical strategy, and cross-functional leadership, with hands-on modelling a deliberate minority. You lead by setting direction, raising the team's bar, and owning delivery, quality, and stakeholder trust across a high-demand roadmap.The foundation is built — your job is what gets built on top of it as the org scales. TTG is expanding as part of MARI, bringing new portfolio companies' event and ticketing data onto the platform; PxT (our partner-facing product) is growing its surface area; and the business keeps adding markets and brands. You'll design how the platform absorbs that growth — new sources, new consumers, higher stakes — without the architecture buckling.If you thrive in a fast-moving, high-ownership environment, measure your impact by the team's, not just your own, and care as much about business impact as technical craft, we'd love to hear from you — especially if, like the rest of the team, you reach for AI by default.Please note: This full-time position and qualified candidates must be based in the Greater London area. We encourage collaboration by working a minimum of 2 days per week in the office, with flexibility to choose where you work for the rest of the week.What Success Looks Like:The platform scales, it doesn't strain New portfolio events, new surfaces, and new markets onboard onto the existing staging/intermediates/marts pattern without one-off hacks or a rebuild.Data people trust by default Certified marts stay accurate and documented as volume and source count grow; breaking changes get caught by CI and dbt tests, not discovered by a stakeholder in a dashboard.A faster, more autonomous team Engineers ship models confidently without you reviewing every line; your reports are visibly levelling up.Architecture that holds Your design decisions — dynamic tables vs. incremental models, how a new portfolio company's data enters the model, orchestration choices — hold up as sources and consumers multiply, and design flaws get caught in review, not production.Trust through ownership Stakeholders across product, growth, finance, and CX bring you problems, not tickets, because you communicate early and their reporting hasn't broken under them.What You'll Do:Own the data platform end-to-end — the dbt project (staging intermediates marts), CI/CD, and the Snowflake infrastructure it runs on.Design and lead the onboarding of new data sources onto the platform as TTG scales, so growth doesn't mean architectural debt.Partner with data consumers — product, growth, finance, CX, and incoming portfolio teams — to model new sources cleanly rather than bolt them on under deadline pressure.Run intake and prioritisation across a high-demand roadmap where reporting, growth analytics, and AI-tooling initiatives compete for the same team's time — sequence against business objectives, and say no well.Protect data quality systematically — dbt tests, contract-enforced schemas, and CI that catches breaking changes before they reach a dashboard or an AI agent.Set technical direction for the warehouse and give the kind of code review that makes data engineers better — spotting model design flaws before they ship.Lead and grow the team — 1:1s, feedback, and career development.Build the factory, not just the models: keep pushing AI into how the team works, and support the org's growing use of AI agents as direct consumers of the warehouse you build.We're Looking for Someone With:A track record of leading engineers. 8+ years in data engineering (or software engineering with a heavy data bent), including leading a team — formally or informally — and growing the engineers around you. This is the core of the role.Deep SQL and dbt expertise. You've built and scaled a dbt project in production — models, tests, macros, contracts — and reason about warehouse cost and performance, not just correctness.Cloud data warehouse depth. Hands-on experience with Snowflake or a comparable MPP warehouse (Redshift, BigQuery).Experience scaling a data platform through growth — onboarding new business units, acquisitions, or data sources onto an existing model without rearchitecting from scratch. (M&A / multi-entity data integration experience is directly relevant given the evolving company structure.)Full-stack data platform judgement. Comfortable across ingestion (CDC/replication from operational databases, event pipelines), transformation (dbt), and consumption (BI tools, reverse ETL, AI/agent access) — even where you're not the one writing every layer.Strong architecture and code review. You set technical direction through sound data-model design and give review that makes engineers better.Stakeholder management. You partner with product, finance, growth, and CX — translating messy source data into models people trust, and setting expectations as priorities shift.A product and business mindset. You measure success by the decisions your data enabled, not rows modelled.AI fluency. You already reach for AI to write and review data models, and you're comfortable with AI agents as first-class consumers of the warehouse you build.You don't need to tick every box. If most of this sounds like you, we'd love to hear from you.Nice to Have:Experience with a customer data platform (CDP) and identity resolution across multiple event sources — directly relevant to unifying data across our portfolio companies.Experience with CDC / replication tools feeding a warehouse from an operational database (MySQL, Postgres)Experience with Looker/LookML or another BI semantic layer.Experience in e-commerce, ticketing, or a marketplace business with high-cardinality partner/catalogue data.Experience building or supporting AI/LLM-facing data products — a chatbot, a RAG pipeline, an agent with database access.Experience with GitHub Actions-based CI/CD for data pipelines.Good To Know: TodayTix Group takes care of our team. We’re proud to offer a generous suite of benefits. Here are some of our favourites:-Hybrid work environment (blend of in-office and at-home days)-Up to 4 weeks per year of flexible 'work from anywhere' -Generous pension match-Access to a bespoke Pension scheme -Complimentary tickets to shows and events-Employee Assistance Programme-Access to a corporate rate Vitality PMI plan-Healthcare cash plan-Season Ticket loans-Birthday off-Three months of fully paid Parental Leave -Employee Charity Donation Matching-Annual Professional Development Budget-Cycle to work scheme-Employee Referral BonusTodayTix Group is proud to be an equal opportunity employer, committed to fostering a workplace that celebrates diversity and inclusion. We welcome candidates of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, gender identity or expression, age, marital or veteran status, pregnancy, disability, or any other characteristic protected by law. We are also committed to providing reasonable accommodations for applicants and employees based on their religious practices, mental health, or physical needs. TTG is dedicated to conducting all aspects of our business ethically and with integrity, in full compliance with the UK Modern Slavery Act 2015. TTG maintains a zero-tolerance approach to modern slavery, human trafficking, forced labour, and any form of exploitation. We extend these high standards to all employees, contractors, partners, and suppliers. Everyone working with or on behalf of TTG must ensure that our operations and supply chains remain free from any practices that could constitute modern slavery or human trafficking.For information on our UK Privacy policy, click here.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Why Keyrus, Why Now!Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence.AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.At Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last.Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence.Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.Role DetailsJob location: London – UK (Hybrid, flexible)Contract type: Employee or Inside IR35ðTarget start date: August 2026Working hours: Full-time (40h/ week)Compensation:58k – 87k (Senior Level) or 83k – 108k (Principal Level)What You'll ArchitectAs an AI Solutions Architect, you will help organisations transform complexity into measurable outcomes by combining artificial intelligence, data, semantic technologies, and human decision-making.This role is both technical and consultative — ideal for someone who can combine hands-on engineering, AI solution design, and direct stakeholder engagement. Working closely with analysts, researchers, engineers, and business leaders, you will design and deliver AI-powered solutions that transform how organisations discover, understand, and interact with data.Operating in a manner similar to a Forward Deployed Engineer (FDE), you will own initiatives from problem discovery through implementation, deployment, and optimisation, translating complex business challenges into scalable, production-ready solutions.Key ResponsibilitiesLead the design and implementation of AI-powered solutions across enterprise data and analytics environments.Partner directly with business stakeholders to understand challenges and convert requirements into practical, scalable technical solutions.Build and deploy production-grade agentic AI systems leveraging LLMs, retrieval architectures, semantic models, and knowledge representations.Develop intelligent document processing solutions focused on financial filings, regulatory content, and structured financial data.Design and enhance semantic search, retrieval, and data discovery capabilities that improve access to enterprise knowledge.Build natural language interfaces that enable non-technical users to interact effectively with complex datasets.Contribute to metadata modelling, governance frameworks, and AI enablement initiatives.Own the full solution lifecycle from discovery, design, and development through deployment, optimisation, and continuous improvement.Act as a trusted technical partner for both business and technical stakeholders, driving outcomes with a high degree of autonomy.Who You AreYou are naturally curious and passionate about applying AI to solve real-world business problems.You enjoy working at the intersection of technology, data, and business strategy, translating complex challenges into practical solutions.You are comfortable operating with a high degree of autonomy, ownership, and accountability.You thrive in environments where requirements are evolving and ambiguity is common, using structured thinking to create clarity and direction.You enjoy partnering directly with stakeholders to understand problems deeply before designing solutions.You balance innovation and experimentation with a strong focus on production readiness, reliability, and business value.You are equally comfortable discussing technical architectures with engineers and explaining outcomes to non-technical audiences.You continuously learn and stay current with developments across Generative AI, Agentic AI, retrieval systems, and enterprise data platforms.ð ️ What You BringQualifications & ExperienceRelevant academic background or equivalent professional experience.Proven experience delivering AI, Data, or Software Engineering solutions in production environments.Experience working directly with business stakeholders to identify requirements and shape technical solutions.Demonstrated ability to independently drive initiatives from concept through implementation.Experience working with financial data, regulatory datasets, or enterprise information environments.Professional proficiency in English.Willingness to travel occasionally when required.Technical & Professional SkillsStrong Python expertise, including APIs, asynchronous architectures, data pipelines, and production-grade applications.Hands-on experience with Generative AI and LLM-based solutions, including:Prompt EngineeringStructured Output GenerationAgent OrchestrationAgentic WorkflowsMulti-Step ReasoningStrong experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including:EmbeddingsVector DatabasesRetrieval PipelinesChunking, indexing, and evaluation frameworksExperience with Knowledge Representation and Semantic Modelling, including:Knowledge GraphsSemantic SearchMetadata-Driven ArchitecturesStrong SQL skills, including analytics, joins, and window functions.Experience with Python frameworks such as FastAPI, pandas, and related technologies.Experience working with enterprise data platforms such as Snowflake.Strong analytical thinking and structured problem-solving capabilities.Ability to translate business requirements into scalable technical solutions.Excellent communication and stakeholder management skills.Nice to HaveExperience with AWS Bedrock or other enterprise AI platforms.Experience with AI engineering tools such as Copilot, Cursor, Claude Code, or similar.Experience with Neo4j, graph databases, or advanced knowledge graph implementations.Experience working with SEC, EDGAR, XBRL, or similar financial data extraction and processing frameworks.Exposure to Collibra, Master Data Management (MDM), or Metadata Management platforms.Experience building AI-powered data marketplaces, retrieval systems, or semantic search platforms.Previous experience in consulting, solution architecture, or FDE roles.Experience working in highly consultative enterprise environments with senior stakeholders.What Makes You SuccessfulYou focus on solving business problems rather than simply implementing technology.You can quickly understand complex domains and translate ambiguous requirements into structured solutions.You build AI systems that balance innovation, usability, reliability, and scalability.You understand that successful AI solutions require more than models—they require strong foundations in data, retrieval, governance, and user experience.You are comfortable owning outcomes end-to-end, from initial discovery workshops to production deployment.You build trust with stakeholders through clear communication, technical expertise, and consistent delivery.You continuously look for ways to improve how users discover, access, and interact with information.You embrace emerging technologies while remaining pragmatic about business value and operational realities.You contribute to collective intelligence by sharing knowledge, mentoring others, and helping raise the standard of delivery across teams. What We Offer at Keyrus UKCompetitive holiday allowancePrivate Medical & Dental Insurance (Bupa)Group Life InsuranceGym & fitness discounts via Pluxee (Sodexo)On-site gym access at our London officeAccess to lifestyle discounts (travel, retail, entertainment & more) via Pluxee (Sodexo)Auto-enrolment pension scheme with Aegon.Training & Development via KLX (Keyrus Learning Experience)Strong focus on career development and internal mobility.Electric & hybrid car scheme via TuskerAnnual discretionary bonus, based on individual and company performanceReferral bonus for introducing new colleagues. How Our Salary Ranges WorkAt Keyrus, salary ranges reflect different levels of mastery and impact within the same role — not different job titles.Bottom of the rangeYou meet the core requirements and will need ramp-up time and support.Middle of the rangeYou are fully autonomous from Day 1 and deliver consistently.Top of the rangeYou are a reference for the role, mentor others, and raise the bar for the team.Final offers are based on experience, autonomy, scope, and market context, and are discussed transparently during the process. Responsible AI & RecruitmentAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews. AI is never used to make decisions.To ensure fairness, authenticity, and the protection of confidential and proprietary information, the use of AI tools by candidates during the recruitment process is strictly prohibited.Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.️Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process. Equal Opportunity StatementWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic.

About 9fin9fin is the AI platform powering global debt markets — the world’s largest asset class at over $145 trillion.Debt markets are vast, global, and mission-critical, yet still run on fragmented data, PDFs, and manual workflows. 9fin replaces this broken infrastructure with a single platform that centralises proprietary credit data, deep analysis, and high-value workflows across global markets.Today, 9fin powers teams at 300+ blue-chip institutions worldwide, including global banks, asset managers, private equity firms, law firms, and advisors. The business is scaling at exceptional speed, with rapid expansion in the US and best-in-class retention driven by deep workflow adoption.We’re at a defining inflection point. With proven product-market fit and strong, global market pull, 9fin is accelerating toward becoming the category-defining platform for debt markets worldwide.We're looking for a Senior II Product Engineer to take broad technical ownership of the backend systems powering 9fin's platform.You will sit between our Senior and Staff engineering tracks. You will own meaningful systems end to end, lead multi sprint initiatives across a product domain, and shape how we build for scale. You will operate as a strong senior IC, leading design, raising the engineering bar through review and mentorship, and partnering closely with Product, Data, and our financial and legal domain experts.This role suits someone who has already grown beyond a typical senior remit. You enjoy diving into distributed systems problems, and you have firsthand experience scaling services under real production load.What you'll doOwn the design and delivery of significant backend systems and services across a product domain, from data modelling through API surface to operational concerns.Lead complex, multi sprint engineering initiatives that span several engineers and stakeholders.Drive scaling work: identify bottlenecks, propose architectural changes, and execute migrations safely in production.Make pragmatic decisions about distributed systems concerns including consistency, idempotency, partitioning, retries, and observability.Contribute to platform level discussions on service boundaries, data ownership, and how systems evolve as we enter new markets.Run thorough code reviews, mentor senior and mid level engineers, and help define what good looks like in the codebase.Partner with cross functional teammates from Product, Data Engineering, and our editorial and legal domain experts to scope work and ship the right thing.Improve developer experience by investing in tooling, testing, observability, and the paved road so the whole team moves faster.Ramp on legacy areas of the system, find the highest leverage cleanup, and execute it without stalling delivery.Use AI assisted engineering to move faster on understanding, prototyping, and shipping code.Our backend stackPython is the dominant backend language.Flask and FastAPI, with strong typing and Pydantic powering automated documentation and API definitions.PostgreSQL at the heart of most services.AWS for cloud hosted services, with heavy use of AWS Lambda serverless.Docker on AWS ECS for uniform development and deployment.Internal developer platform with a standardised paved road from code to production, plus managed preview environments and feature flags.What we're looking forYou will be a great fit if you have:Several years operating as a senior backend engineer, with a clear track record of leading technical initiatives end to end across a product domain.Experience contributing to the design of distributed systems in production, including the operational realities such as failure modes, observability, data consistency, and graceful degradation.A track record of solving scaling problems, whether database scaling, throughput, latency, or cost. You can talk through a real example end to end: how you measured the problem, what you changed, and what the outcome was.Experience designing and operating event driven architectures in production, including message queues or streaming systems, with a clear understanding of delivery guarantees, idempotency, and failure handling.Strong design skills around APIs, service boundaries, and the flow of data from persistent storage through to clients.Strong Python experience, including modern web frameworks (we use FastAPI with Pydantic and strong typing).Deep working knowledge of SQL and relational data modelling.Excellent collaboration and communication, including the ability to explain complex systems and tradeoffs to non technical stakeholders.A strong product and customer mindset, with the judgement to balance shipping value against long term system health.A high bar for code quality, testability, and operational maturity, and the habit of raising that bar through review and mentorship.Nice to have:Experience working on complex permissioning or access control systems (multi tenant, role or attribute based, fine grained, audit driven, or similar).Experience with end to end document management systems, especially solving problems of scale and applying strong security practices such as encryption, access control, data lineage, and retention.Experience modernising legacy systems and migrating workloads with minimal downtime.Experience with a data pipeline orchestrator.Experience working at AI startups, including integrating with and building on top of AI and LLM based solutions.Company BenefitsWe’re a scaling start up and we enjoy sharing our success, when the company succeeds, we always reinvest that in our people. We also offer huge amounts of responsibility, an abundance of opportunity for growth and a platform to truly excel.Financial & InsuranceCompetitive Salary(our salary bands are benchmarked at the top end of the market)Pension (your minimum contributions are 4% with 9fin matching up to 7%)Private Medical InsurancePaid sick leave with Income Protection for long periods of illnessGroup Life AssuranceSeason Ticket Loan&Cycle to Work schemesTime off25 holiday days per yearLocal public holidays (with the ability to exchange them for alternative days)Hybrid working model, to allow you the flexibility to decide how, where and when you do your best workWork abroad for up to 3 months a year1 month paid sabbatical after 5 years of serviceEnhanced parental leave&flexible working arrangements availableTraining & CultureProfessional learning and development budgetQuarterly team socialsSummer and Winter company social events9fin is an equal opportunities employerAt 9fin we are dedicated to building and promoting a fair and inclusive workplace where everyone can reach their full potential and truly belong. We recognize that building diverse teams enables a more creative and productive environment. If you’re excited about this role but your experience doesn’t perfectly align with the job description, we encourage you to apply anyway. You might just be who we’re looking for — either for this role, or perhaps another.LocationLondonEmployment TypeFull timeDepartmentEngineering

Take a technical leadership position within JPMorgan's Commercial & Investment Bank, where you'll harness cutting-edge AI techniques to revolutionize business decisions and automate processes.As an Applied AI / ML Lead – Vice President - Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the company's unique data assets to optimize business decisions and automate processes. You will have the opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI–powered products and services and increasing opportunity for re-use of foundational components through careful design of libraries and services to be leveraged across the team. This role offers a unique blend of scientific research and software engineering, requiring a deep understanding of both mindsets. The role is initially that of an individual contributor, though there will be optional opportunity for management responsibility dependent on the candidate’s experience.Job responsibilitiesBuild robust Data Science capabilities which can be scaled across multiple business use casesCollaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systemsResearch and analyse data sets using a variety of statistical and machine learning techniquesCommunicate AI capabilities and results to both technical and non-technical audiencesDocument approaches taken, techniques used and processes followed to comply with industry regulationCollaborate closely with cloud and SRE teams while taking a leading role in the design and delivery of the production architectures for our solutionsRequired qualifications, capabilities, and skillsHands on experience in an ML engineering roleMasters degree or PhD in a quantitative discipline, e.g. Computer Science, Mathematics, StatisticsTrack record of developing, deploying business critical machine learning models Broad knowledge of MLOps tooling – for versioning, reproducibility, observability etcExperience monitoring, maintaining, enhancing existing models over an extended time periodSpecialism in NLP or Computer VisionSolid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.)Extensive experience with pytorch, numpy, pandasHands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.)Able to communicate technical information and ideas at all levels; convey information clearly and create trust with stakeholders.Preferred qualifications, capabilities, and skillsExperience designing/ implementing pipelines using DAGs (e.g. Kubeflow, DVC, Ray)Experience of big data technologies (e.g. Spark, Hadoop)Have constructed batch and streaming microservices exposed as REST/gRPC endpointsFamiliarity with GraphQL#CIBAppliedAIJ.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. Full timePosting Date: 2026-04-24

Full TimeRemoteLondon, UK (Remote)Posted 4 weeks ago90,000 - 160,000 GBP / Year Senior Machine Learning Engineer | Remote | Salary 90,000-160,000 (flexable) |Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning systems for real-world applications. They’re looking for an experienced Machine Learning Engineer to join a small, highly technical team building production-grade AI solutions from the ground up.The RoleThis is a hands-on engineering position where you’ll take ownership of key machine learning components throughout their entire lifecycle. You’ll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems.Your responsibilities will include:Designing and implementing production-ready machine learning systems.Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation.Translating research concepts into robust, scalable production solutions.Monitoring, debugging and improving models using production data and user feedback.Working closely with software engineers, researchers and product teams to deliver impactful features.Mentoring other engineers through technical leadership, code reviews and best practices.Building systems that balance performance, latency, reliability and scalability.TechnologyPythonPyTorch and/or JAXGPU-based model training and inferenceModern machine learning infrastructureWhat We’re Looking ForCommercial experience building and deploying machine learning models into production.Strong understanding of modern ML architectures and production challenges.Excellent software engineering skills with a focus on maintainable, production-quality code.Ability to work independently and take ownership of technical delivery.Strong problem-solving skills and a pragmatic approach to engineering.Excellent communication skills and a collaborative mindset.If you are an experienced Senior Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 160,000. Apply today by contacting Hexwired Recruitment.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.Tagged as: Machine Learning, Python

Job Title: Audit Platform Engineering LeadGrade: Senior Manager (Grade B)Location: AllDepartment: Audit Technology Delivery Team (ATDT), Group DigitalReports To: Head of Audit Technology DeliveryAbout UsKPMG 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.Group Digital is the engine behind internal business and technology services, data, and innovation that power the firm. It ensures secure, resilient, and standardised technology solutions that keep our operations running smoothly and enable colleagues to deliver exceptional client service. By driving our digital strategy, safeguarding against cyber threats, managing data responsibly, and providing tools for seamless collaboration, Group Digital positions the firm for the future. Through innovation and accelerated adoption of digital and AI capabilities, it supports growth and transformation, unlocking value for both colleagues and clients.Role PurposeWhat we are looking for…This role will be situated within the Audit Technology Delivery Team (ATDT) within KPMG’s Group Digital Function and is a direct report to the Head of Audit Technology Delivery.We are seeking an experienced, skilled, and proactive Platform Engineering Lead to join our dynamic team. In this role, you will play a crucial part in establishing and leading a new engineering vertical within ATDT, shaping a modern engineering tower to support developers and cloud engineers. You will oversee the design, development, and maintenance of cloud platform solutions, enabling seamless integration of modern engineering techniques across the team.In addition, you will lead a team of engineers, including specialists in both traditional infrastructure and Azure DevOps, ensuring the stability, availability, and security of the Azure platforms used by product developers. This team will also provide 4th-line SME support for KPMG’s critical Audit applications and other key products hosted in Azure.Key ResponsibilitiesTeam LeadershipBuild and lead a high-performing team of engineers specializing in both traditional infrastructure and Azure DevOps.Foster a culture of collaboration, innovation, and continuous improvement.Transition engineering resources into the new vertical and define the structure and skills required, including capabilities in DevOps, Data & Analytics, and AI.Cloud Platform Build and MaintenanceLead the design, build, and maintenance of resilient and secure cloud-based solutions.Define and implement standardised patterns, practices, and tools to support the development lifecycle.Ensure platforms are optimized for performance, reliability, and scalability.Cloud OptimizationContinuously review and optimize cloud resources for cost efficiency and performance improvements.Ensure solutions adhere to best practices for security, compliance, and operational efficiency.SME Technical Cloud SupportProvide 4th-line technical support for key applications, including mission-critical Audit platforms hosted on Azure.Troubleshoot complex issues, ensuring minimal downtime and operational continuity.Act as the technical escalation point for complex infrastructure and cloud-related incidents.Environment Stability and SecurityEnsure the stability, availability, consistency, and security of non-production environments across ATDT.Collaborate with other teams to ensure environments are aligned with production standards and support quality assurance processes.Strategic ContributionEstablish and shape the new engineering vertical, integrating seamlessly with existing towers.Develop and execute a strategic roadmap for the vertical, aligning with organizational goals.Act as a trusted advisor to senior leadership, providing insights and recommendations on platform strategy and execution.Skills and QualificationsEssential:Proven experience in leading engineering teams, with expertise in both traditional infrastructure and Azure DevOps.Strong knowledge of cloud platforms, especially Azure, and modern engineering practices such as Infrastructure as Code (IaC), CI/CD, and containerization.Experience managing and optimizing non-production environments to ensure stability and security.Expertise in cost optimization and performance tuning for cloud environments.Exceptional troubleshooting skills, with experience in 4th-line support for critical applications.Strong leadership and team-building skills, with experience in creating and growing teams.Desirable:Experience in integrating Data & Analytics or AI capabilities into engineering practices.Relevant certifications such as Microsoft Azure Solutions Architect, Azure DevOps Engineer, or equivalent.Familiarity with audit-related applications or regulated industries.Key CompetenciesStrategic thinking and problem-solving.Excellent communication and stakeholder management skills.Adaptability and innovation in a dynamic environment.Strong organizational and project management abilities.Key Deliverables for the First 12 MonthsEstablish the new engineering vertical within the team and define its structure.Transition engineering resources into the new structure effectively.Develop a roadmap for skill development, focusing on DevOps, Data & Analytics, and AI.Optimize the Azure platform to support current and future product development.Build and maintain a resilient support model for the Firm’s critical Audit application and other key platforms.#LI-AR1

Senior ML Research Engineer - Sustainable Finance Location London Business Area Engineering and CTO Ref # 10052491 Description & Requirements Bloomberg's Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations. We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases. We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products. At Bloomberg, we believe in fostering a transparent and efficient financial marketplace. Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions.Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most. As an ML Research Engineer on the AI Sustainable Finance team, you will be working on exciting initiatives such as real-time controversies detection from news, greenhouse gas emissions estimation for global equities, financial materiality assessment of corporate conduct, and ML explainability for our sustainability solutions.Bloomberg's sustainable finance solutions are built on comprehensive, reliable, and contextualized environmental, social, and governance data, helping investors see clearly and act with confidence. Our team powers the ML systems behind these solutions, enabling clients to surface opportunities in a shifting landscape, integrate sustainability signals into their models, manage risk exposure, and measure the impact of their strategies.Join us as a Senior ML Research Engineer and you will have the opportunity to:Collaborate with sustainable finance domain experts to develop systems that identify, categorize, and assess sustainability risksOwn cross-team projects end-to-end, from research and experimentation through production deploymentResearch and train ML models that help investors assess and manage sustainability risksDesign and build real-time NLP pipelines using large language modelsDevelop evaluation frameworks and annotation tooling that drives continuous model improvementStay current with the latest research in NLP, LLMs, and estimation techniques, and incorporate new findings into our models and methodologiesRepresent Bloomberg at scientific and industry conferences and in open-source communitiesPublish product and research findings in documentation, whitepapers or publications to leading academic venuesWe are looking for a Senior ML Research Engineer with the following experience:Experience building production ML systems, with exposure to sustainability and responsible investment problemsPractical experience with Machine Learning problems and Large Language ModelsPh.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and previous relevant work experienceProficiency in software engineering with Python, including experience with production ML infrastructure (model serving, data pipelines, evaluation frameworks)Familiarity with LLM-based systems for structured information extraction from unstructured textAn understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solvingExcellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders such as sustainable finance analysts, product managers, and domain expertsInterest in sustainability or climate finance is a strong plusA track record of authoring publications in top conferences and journals is a strong plusIf indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

This role offers a competitive package, hybrid working (1 day a week in the London office, typically Thursday), 28 days holiday a year plus Bank Holidays and 11% pension from the second year!Salary 75,000 - 83,000 per annumLocation: London/Hybrid (1 day a week in the London office, typically Thursday)*We're keen to find individuals with an outcome-driven mindset: Your CV should showcase the outcomes you've achieved, not just the technologies you've worked with. Tell us how you've improved customer experiences, solved business problems, simplified complex challenges showcasing with metrics where possible.*About the roleWe are hiring a Senior Product Engineer for our AI Squad at Which?. You will play a key role in building and maintaining Ask Which?, while developing reusable AI platform capabilities, services, and tooling that enable AI-powered experiences across Which?. We are seeking experienced Full Stack AI Engineers with a proven track record of designing, building, and operating production AI applications and services. Ideal candidates will have experience developing AI-powered applications and reusable AI platform capabilities. They should be proficient in integrating LLMs, AI services, and third-party APIs, with experience building scalable, event-driven, and asynchronous cloud-native solutions.Our Engineering Manager and Lead Product Manager have put together this short video to give you more detailWhat kind of work might I do?Software Development and Technical Direction: Write high-quality software and automated tests, contribute to software design, and ensure solutions meet high standards for performance, security, reliability, and fault tolerance. This role focuses on building and enhancing Ask Which, alongside developing reusable AI platform capabilities, services, and APIs. You will own the delivery of AI solutions, champion the use of cloud-native AWS AI technologies, and contribute to technical decisions that shape the evolution of Which? 's AI platform.Collaboration: Working with your squad and stakeholders to set up and plan quarterly OKRs that drive the success of AI Squad offering. You will ensure your Squad's work on the AI Platform is aligned with the wider strategy and commitments.Operational Excellence: Setting high standards and driving engineering best practice across the AI platform stack. This includes focusing on observability (monitoring, logging, tracing) for the cloud-native solution, participating in peer reviews, and facilitating the maintenance of engineering standards, reliability, and performance.Squad Empowerment: Contributing to a culture of creativity, curiosity, collaboration, inclusion and innovation within your Squads as you adopt new technologies and practices for AI Platform.Champion Platform Ownership: Take ownership of both Ask Which and the reusable AI platform capabilities you build, ensuring they are secure, reliable, scalable, observable, and easy for product teams to adopt.What do we expect?You will provide a high level of technical expertise and leadership within your squad. We are specifically looking for people who have the following characteristics:Technical Expertise: You are an experienced Full Stack AI Engineer with expertise in designing and building production-grade, cloud-native applications. You have strong knowledge of TypeScript (Node.js and React/React Native), AWS, Terraform, and building robust RESTful APIs and scalable distributed systems. You are experienced in integrating LLMs, AI services, and third-party APIs, and designing event-driven and asynchronous architectures. You will apply this expertise to build and enhance Ask Which and develop reusable AI platform capabilities.AI-Native Engineering: You will champion the use of agentic workflows to accelerate delivery across the AI platform. As an AI-fluent leader, you will leverage GitHub Copilot as a primary partner to automate testing, streamline implementation, and minimize cognitive overhead, ensuring your focus remains on solving our most complex architectural and product puzzles.End-to-End Use Case Ownership: You will take full ownership of the end-to-end use cases for the AI platform. This includes designing, implementing, and taking responsibility for the AWS infrastructure, deployment, and observability across the new stack.External Integrations Expertise: You will be instrumental in integrating with external partners and 3rd party APIs at scale, leveraging your strong knowledge of event-driven and asynchronous flows.Strategic Problem Solver: You will be taking on the most challenging engineering problems facing your squad, and in some cases this will involve driving a team of engineers towards delivering a successful outcome. You focus on solving problems pragmatically while adding value to the product.Data-driven and impact-focussed: You will always have our customers/users in mind, ensuring any features or changes you build can be proven to have a positive impact (quantitatively or qualitatively). You will regularly review data to identify and suggest potential improvements.Collaborative: You will be working within a multi-disciplinary squad focused on specific outcomes. You are responsible for collaborating on discovery work and ideation and working with other squads to drive better overall products.Curious and Proactive: You will never be happy with the status-quo, constantly looking for ways to improve the product, whether through technology or by changing internal processes and practices.Technical Mentorship & Stewardship: You support the Tech Lead Manager in mentoring and growing the other engineers in your squad, considering the bigger picture of your development work, including testing, code quality, performance, security, production environment, user experience, and Product vision.For a full list of essential requirements, please refer to the role profile, which can be downloaded as a PDF at the bottom of this advert. How might I progress my career?At this level you will initially start on the technical leadership track, where you can take on increasingly hard problems with increasing span of ownership and influence and working towards a Staff Engineer role, but there will also be opportunities to shift onto the engineering management track, taking on line management responsibilities and working towards becoming an Engineering Manager with a progression route to Head/Director level roles.Interview ProcessMeet one of our Engineering Managers via MS Teams (approximately 30 minutes) - Opportunity for you to learn more about the role, answer any questions you have, and provide some examples of providing technical direction across multiple teams and driving product outcomes through technology.Technical Take home Test (To be completed in TypeScript)System Design & Technical Interview via MS Teams (90 Mins)We also have these benefits for you to consider: 35 hour working weekGenerous 28 days holiday a year plus bank holidays and the option to buy additional holiday daysExcellent pension scheme – when you pay in 3%, Which? pays in 6% (rising to 11% after one year of service) Annual Award (depending on employee and company performance)Healthcare insurance & Private medical insurance and opportunity to participate in Vitality rewards programme (at 6 months)A discretionary death in service benefit provision equivalent to six times your annual salaryFree access to Which? member content and free access to Which? money & legal helplines Free wills for all Which? employees, plus, partners of employees can make their will at cost price.Discount site Pluxee which offers large %% off every day shopping and holidaysWork from (almost) anywhere” for 4 weeks of the year policyAbout Which?Which? is the UK's consumer champion, here to make life simpler, fairer and safer for everyone. You can find out more about what we do, our people and culture as well as hints and tips on how to complete your application on our Careers site.We're proud to be ranked 3rd in the ‘Top 25 Inclusive Employers' List 2024. We welcome applications from everyone, because we value diversity, and are committed to maintaining an inclusive culture where all can thrive and reach their full potential—because diverse perspectives help us better understand and positively impact consumers.As a Disability Confident Leader, we ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them. For this or any other assistance you need with applying (i.e., would like to apply by phone or post), email recruitment@which.co.uk. Find out more about the Disability Confident Interview Scheme here.Please note:You must meet the essential criteria listed within the Role Profile, to have your application reviewed. Applications should be submitted via our online careers site, we are unable to accept applications by email. However, if you require an alternative application method as a reasonable adjustment, please contact us using the details above.We reserve the right to withdraw this advert at any given time due to the number of applications received.Senior Engineer- FullStack -AI Squad - July 2026.pdf

At AKQA, we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design and build adaptive digital products, services and experiences that capture the imagination and deliver impressive returns for our clients.We are looking for a senior, architecture-led Principal Engineer to join our London Technology team as a Technical Lead. This is a hands-on engineering role, not a strategy-only or evangelism position. You will spend the majority of your time designing, building and shipping enterprise-grade systems, with roughly 65 to 70% hands-on delivery and 30 to 35% technical leadership, architecture and team guidance.You will lead the technical direction of complex client programmes across MACH architectures and production Generative AI; spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation. You will own architecture decisions, write and review production code, and mentor engineers, while remaining accountable for what ships, not just what is proposed.Production Generative AI experience is essential. You must have at least three years' experience working with Generative AI, and have delivered at least one AI capability into a live, enterprise environment; not limited to prototypes, proofs of concept or demo builds. We need engineers who understand retrieval pipelines, evaluation, cost, governance and operational reliability at scale; including where custom model creation, fine-tuning or adaptation is required for production delivery.AKQA is advanced in Design Systems and Design to Code practice; from Figma design systems through to UI development and application delivery. Generative AI is increasingly embedded across this design-to-application workflow, accelerating the path from design intent to production-ready code and experiences.The Principal Engineer (Tech Lead) is a key technical contributor across the programme lifecycle, working closely with Technical Managers, cross-discipline teams and on-shore, off-shore and hybrid engineering squads.This role sits at Principal or Staff Engineer seniority, aligned with our Technical Managers and Technical Architects in scope and influence. While client-facing and influential, the role is technologist-first. You may occasionally support pre-sales scoping or technical pitches, but your primary value is deep engineering craft, sound system design and reliable enterprise delivery. Technical architecture and hands-on engineering capability are mandatory.Based in London (Farringdon), in a hybrid working environment, frequently collaborating with our global studios and partners, you will enjoy working in a team of highly skilled people, all with strong opinions about various technologies, frameworks and approaches.You will articulate your ideas to colleagues effectively whilst also taking on board the ideas of others and remaining solutions focused. You will thrive when faced with new challenges, view them as opportunities and constantly look to improve client offerings. You will work in a progressive environment that fosters a meritocratic culture, surrounded by some of the brightest minds in their fields.As a Principal Engineer (Tech Lead) at AKQA, you will be inspired by technology and have a passion for building robust, scalable solutions that perform in production.ROLE REQUIREMENTSGenerative AI and Intelligent Experience ArchitectureMinimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments).AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation.Hands-on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences.AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design.Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API-led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms.GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval.Model fine-tuning: experience customising and fine-tuning existing models for production use cases; including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints.AI cost-value analysis, observability, governance, testing and evaluation frameworks for production systems.Practical application of Generative AI to marketing and experience challenges; e.g. personalisation, content generation, campaign optimisation; with measurable production outcomes.Design Systems and Design to CodeDesign to Code workflow: advanced Design Systems thinking; experience bridging design intent through to UI development and production application builds.Generative AI in the design-to-application process: applying Gen AI to accelerate, validate and quality-assure the path from design to shippable code and experiences.Design and delivery tooling: experience with Figma, Cursor, Claude and Vercel v0 advantageous.Platform, Architecture and EngineeringComposable architecture: microservices, API-first, cloud-native and headless composition; minimum eight years' experience designing and delivering MACH-based enterprise platforms.Cloud platforms: deep hands-on experience across GCP & Vertex AI and Vercel AI cloud, or equivalent alternatives on AWS and Microsoft Azure; infrastructure design, security and operational ownership, and the ability to draw parallels across cloud providers.API design: RESTful and GraphQL APIs, contract-first design, versioning, gateway patterns and integration across SaaS, CMS, DXP and MarTech stacks.Distributed systems and event-driven architecture: messaging, async workflows, resilience patterns, idempotency and at-scale system behaviour.Backend and platform engineering: advanced server-side development (Python recommended; additional languages a plus), service design and performance optimisation.Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform, GitHub Actions, Azure DevOps, GitLab).Cloud and edge hosting: GCP, Vercel, AWS, Azure, Netlify and related deployment models.Front-end integration literacy: HTML, CSS, JavaScript and Next.js + React; mobile technologies (SwiftUI, Kotlin, Flutter or React Native) advantageous.CMS, DXPs, MarTech and SaaS integration in complex enterprise landscapes; including headless CMS platforms such as Contentful, Sanity, ContentStack or similar.Workflow and delivery tooling: GitHub, Bitbucket, GitLab, Atlassian, Azure DevOps, CI/CD cloud functions or similar.Automation, quality assurance and non-functional requirements: security, performance, reliability and maintainability.QUALITIES AND CHARACTERISTICSMust be from a senior engineering, platform or architecture background; Principal, Staff or equivalent depth of hands-on experience.Builder-first mindset: you lead by doing, with architecture informed by what you have shipped in production.A continuous-improvement approach to engineering practice and team ways of working.Proactive self-starter with acute attention to detail and drive for improvement.Practically minded: excellent work in production matters more than abstract thought leadership.Advocate for improvements to processes, quality, security and operational excellence.Analytical, creative and positive mindset with a personable and professional approach.Sharp attention to detail and a passion for new technology, staying abreast with the latest developments in the industry.Professional written and verbal communication.Able to explain complex technical decisions to non-technical audiences (clients, stakeholders and team members).Champion continuous improvement and best-in-class software development processes.Contribute to technical discovery and be proactive in proposing engineering solutions to needs that other disciplines may not be aware of.RECENT GENERATIVE AI WORKA selection of recent Generative AI work from across AKQA:Google: Bringing emotion and intuition back to online shoppingNetflix: It's What's Inside - The GameNike: Never Done EvolvingExplore our extensive range of benefits here.We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.About WPPWPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.

Principal Virtualisation Engineer – Quant tradingLondon or New YorkTotal comp 300k+Quant Capital is partnering with a high-performance trading firm looking for a senior infrastructure engineer to take ownership of a core virtualisation and storage estate. This is a senior hands-on role for someone who can keep a live environment running properly while also helping define what the next generation of the platform should look like.You’ll be brought in to manage a mature production setup, improve its resilience and efficiency, and lead the technical work around future platform decisions. That includes evaluating replacement technologies, running proofs of concept, building migration plans, and driving change without disrupting critical systems.The role• Take ownership of the firm’s virtualisation and storage platforms in production• Maintain high standards across uptime, performance, capacity and operational stability• Assess new technologies and help shape long-term platform strategy• Run technical evaluations and proof-of-concept work across infrastructure options• Plan and deliver storage and virtualisation migrations with minimal operational risk• Build automation and internal tooling to improve scalability and reduce manual support• Work closely with other engineering teams on platform design and integrationWhat they’re looking for• 10+ years of hands-on Linux infrastructure engineering experience in production environments• Strong background in virtualisation, with deep expertise in KVM-based platforms , VMWare or similar• Solid understanding of large-scale compute resource management, performance tuning and high availability• Strong enterprise storage experience, including SAN environments and storage protocols• Exposure to software-defined storage platforms• Good automation skills in Python, Golang or similar• Able to take ownership of technically complex projects and move them forward independently• Clear communicator with strong judgement and a practical, engineering-led mindsetThis is a good fit for someone who wants to own core infrastructure, not just improving what’s already there, and helping decide what comes next in an environment where stability and performance actually matter.All applications are handled in strict confidence.

Method Resourcing are delighted to partner with an innovative SaaS business based in London looking to hire a Senior Data Engineer to join their talented team as they continue to grow.The Senior Data Engineer will be a key member of the Data & Analytics team, leading the design and build of a centralized Data Warehouse. The role focuses on delivering scalable data solutions that improve storage, integration, and management, using expertise in Kimball Methodology and Azure Data Factory to ensure reliable, consistent data across all sources.Responsibilities:Build and maintain ETL pipelines using Azure Data Factory to ingest data from multiple sources into Azure SQL Server.Enforce data governance policies, conduct QA checks, and implement monitoring to uphold data quality and integrity.Review API documentation and analyse raw data and source system models to ensure data is well understood before staging.Maintain data dictionaries and models, sharing knowledge with the team to foster continuous improvement.Support Senior Data Analysts with complex SQL queries and Power BI reporting, providing cover during absences.Work effectively across global teams in a hybrid model, delivering high-quality output with professionalism.Communicate technical concepts clearly to non-technical stakeholders, building collaboration across the business.About you:Proficient in Azure Data Factory, Azure SQL Server, Azure DevOps, Key Vaults, and Logic Apps.Strong data modelling skills, with experience building scalable staging and production layers.Proven ability to optimise data loads for reliability, performance, and efficiency.Forward-thinking approach to scaling data infrastructure in line with business growth.Experience integrating data from diverse sources, maintaining accuracy and consistency throughout the ETL process.Skilled at troubleshooting complex data pipeline and infrastructure issues.Collaborative team player, able to align data solutions with business objectives across cross-functional teams.Familiar with CI/CD pipelines and agile practices to support efficient development and deployment.RSG Plc is acting as an Employment Agency in relation to this vacancy.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.About the Role: We're looking for a Sr. Cloud Software Engineer to join our growing Surface Engineering Team. Our new colleague will be responsible for building globally distributed, fault-tolerant, and highly scalable cloud ecosystems using Golang & Python. Prior experience with Golang or Python is not required, but will be helpful.About the team: You will be joining the EASM Engineering team a.k.a. CrowdStrike Falcon Surface.Falcon Surface pinpoints unknown, exposed internet-facing assets so security teams can best secure their digital perimeter. It enables security teams to detect, prioritize, and manage all of their exposed internet-facing assets that are centralized or remote across on-premise environments, subsidiary, cloud and third-party vendors with no agents or deployment required.More information about Falcon Surface: What You’ll Do:Work-on and enrich backend microservices – From researching areas of concern to implementing the final solution.Leverage existing CrowdStrike tools and services to build cloud-based systems to help detect targeted attacks.Brainstorm, Research, Define, Communicate, Build and Lead collaboratively with members across multiple teams.Committed to learning and improving.Be aware of our customers and the difficulties they face and how we can support them.A strong focus on Quality of Coding through Best Practices, Testing, Logging and Metrics.Work in a Collaborating & Agile environment with a small fast-moving team.Be prepared to mentor other developers on web, backend and data storage technologies and our system and vice-versa.Be aware of our product to improve architecture, knowledge models, user experience, performance, and stability.Be given the autonomy to own your work in a high trust environment.Tech Stack:In-depth knowledge of all is not required, but the ability to ramp-up and learn isrequired.Go (Golang)PythonAWS Redis / S3 / EC2 / LambdaOpenSearch (ElasticSearch)Docker KubernetesKafkaGITCassandraWhat You’ll Need:Degree in Computer Science (or professional experience in data structures/algorithms/distributed systems).A minimum of 5 years of production-level experience in building, delivering, and maintaining systems at scaleUnderstanding scalability and distributed systems i.e. sharding, partitioning, concurrency, etc.Being a team player.A thorough understanding of engineering best practices from appropriate testing paradigms to effective peer code reviews and resilient architecture.The ability to thrive in a test-driven, collaborative, and iterative programming environment.The skills to meet your commitments on time and produce high-quality software that is unit tested, code reviewed and checked in regularly for continuous integration.Bonus Points:Existing exposure to Python, Go, AWS, Cassandra, Kafka, Elasticsearch.Prior experience in the cybersecurity or intelligence fields.Front-end experience#LI-MZ1Benefits of Working at CrowdStrike: Market leader in compensation and equity awardsComprehensive physical and mental wellness programsCompetitive vacation and holidays for rechargePaid parental and adoption leavesProfessional development opportunities for all employees regardless of level or roleEmployee Networks, geographic neighborhood groups, and volunteer opportunities to build connectionsVibrant office culture with world class amenitiesGreat Place to Work Certified across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at recruiting@crowdstrike.com for further assistance.SummaryLocation: Romania - Bucharest; United Kingdom - LondonType: Full time

Accepting applications until: 14 August 2026Job DescriptionYour Role: Data Engineer (DAX)Global is looking for a Data Engineer to join the Data Engineering team supporting our Digital Ad Exchange (DAX).You’ll design, build and maintain the data products, pipelines and platform capabilities that power DAX’s data-driven initiatives. Working closely with other Data Engineers and the wider Data Group, you’ll deliver reliable, well-tested and scalable data solutions, helping to shape and evolve our modern data platform and engineering practices.This role reports to the Lead Data Engineer (DAX) and plays a key part in running a robust data platform that supports business insight, operational processes and product development across DAX.As a Data Engineer (DAX) at Global, you will:Key ResponsibilitiesBuild & Delivery (50%): Design, develop and maintain data pipelines, services and platform capabilities used across DAX. Translate business and technical requirements into high-quality, maintainable solutions, writing clean, reliable and well-documented code for data ingestion, transformation and processing. Contribute to technical design, standards and best practices.Collaboration & Team Contribution (20%): Work closely with Data Engineers, Analytics Engineers, Analysts, Product and other teams across DAX and the wider Data Group. Participate in code reviews, pairing and planning sessions, share knowledge with colleagues, and communicate clearly on progress, risks and technical decisions.Operations, Support & Improvement (30%): Monitor and support the day-to-day operation of production pipelines and data processes. Lead or contribute to the investigation of pipeline failures, data quality issues and performance problems, improving observability, alerting and reliability, and deepening the team’s understanding of the DAX data domain.What You’ll Love About This RoleThink Big: You’ll help drive the evolution of the DAX data platform, delivering data products and capabilities that support a key and growing part of the business.Own It: You’ll take end-to-end ownership of data engineering workstreams, from design through to deployment and support.Keep it Simple: You’ll build robust, scalable solutions that solve real engineering challenges in a practical, maintainable way.Better Together: You’ll be part of a collaborative data team, working with talented engineers, analysts and data scientists to deliver meaningful business outcomes.What Success Looks LikeIn your first few months, you’ll have:Gained a strong understanding of the DAX data platform, its architecture, data models, tooling and engineering practices.Led or significantly contributed to the delivery and support of production data pipelines and services.Demonstrated the ability to write clean, tested and maintainable code with minimal guidance.Built confidence in diagnosing and resolving issues across data workflows and platform components.Developed a solid grasp of the DAX data domain and how the platform supports commercial and product decisions.Identified and delivered improvements to reliability, data quality, performance or developer experience.What You’ll NeedSQL & Data Engineering: Strong SQL skills and solid experience working with relational data, ETL/ELT processes and data pipelines in production environments.Programming Skills: Practical experience programming in Python for data engineering, with a focus on readable, maintainable and testable code.Modern Data & Cloud Practices: Experience with modern data engineering tooling and cloud platforms (ideally AWS and Databricks), and familiarity with distributed processing (e.g. Apache Spark). Exposure to infrastructure as code (such as Terraform and Databricks Asset Bundles) is a plus.Engineering Mindset: Understanding of testing, version control, CI/CD and observability, and a commitment to building reliable, secure and scalable data solutions.Collaboration & Communication: Strong problem-solving skills, attention to detail and the ability to work effectively with technical and non-technical colleagues.Curiosity & Impact: Interest in advertising technology, analytics or large-scale data systems, with a focus on how data engineering enables business outcomes.SummaryLocation: Holborn - LondonType: Full time

This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. The market is beginning to understand what leading technology companies have demonstrated: AI products fail not because the models are weak but because deployment is broken. The gap between a successful AI pilot and an AI capability that scales is bridged by engineers who can translate platform capability into measurable business value inside a real enterprise environment. That is this role. Forward Deployed AI Engineers form the execution spine of our Reinvention Deployment Engineering pods. We are building the largest FDE capability in the services industry. The engineers who join at this stage will define what the role looks like at scale and will have access to the hardest enterprise AI problems in the market across every industry. Key Responsibilities Own account-level AI transformation across the client enterprise — from platform selection and architecture through to enterprise-wide adoption and reinvention at scale Hold full accountability for deployment outcomes at account level: time-to-value, reliability, adoption, and ROI — directly reported to client executive leadership Drive ambiguity to resolution at account scale: translate executive-level strategic intent into production AI systems operating across the enterprise Define enterprise AI architecture standards and governance frameworks across the client organisation, spanning identity, data, security, multi-platform integration, and AI lifecycle management Own the relationship with client CTO, CFO, and CISO: shape AI investment strategy, board-level narrative, and multi-year reinvention roadmap Codify reusable patterns and playbooks that define what enterprise AI reinvention looks like — assets that scale across markets, industries, and the FDE practice globally Lead executive workshops, board-level engagements, and cross-practice architecture reviews that shape the client’s AI reinvention trajectory Define the FDE practice model: engineering standards, deployment playbooks, talent development frameworks, and the capability architecture that the practice is built on Significant engineering experience with cloud-native systems (APIs, microservices, containerization, serverless). Deep expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows) in production environments. Considerable experience with AI platforms — OpenAI, Claude, Vertex AI, plus open-source models, including building abstraction layers to manage multi-provider pipelines. Substantial experience leading software engineering teams: overseeing delivery, allocating resources across workstreams, and owning the professional development of direct reports" Demonstrated end-to-end delivery ownership in a client-embedded environment, internal projects, vendor labs, or team-only deployments do not qualify Proven ability to articulate business value: can quantify the impact of deployments in terms a CFO would recognize and act on Experience presenting to and building trust with senior client stakeholders, CTO, CFO, or CISO level Non-linear profiles are expected and welcomed, assessment is based on demonstrated deployment experience and outcome ownership, not CV pattern matching #LI-EUAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.SummaryLocation: LondonType: Full time

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AIForward Deployed Team Leads are senior technical leads who own a commercial or enterprise customer end-to-end. You’ll combine strong technical architecture, hands-on coding, product ownership, project management, and stakeholder communication—embedding directly with customers to take our product from “design” to “in production.”You’ll own one account at a time: scope the workflow with business and technical stakeholders, design the architecture, write the code that closes the gaps, and drive the deployment through to measurable business value.ResponsibilitiesTechnical architecture. Own data flow, integration topology, identity model, and deployment architecture across the customer’s infrastructure.Hands-on coding. Write production code yourself—backend services, data pipelines, APIs, integrations.Product ownership. Own the deployment’s roadmap. Execute on the statement of work. Decide what’s in scope, what’s a one-off, and what should become product.Project management. Own the plan, milestones, risks, and dependencies. When something slips, know first and flag first.Stakeholder communication. Run customer working sessions, brief executive sponsors, and write clean status updates that senior stakeholders will actually read.Ship into production. Deploy from dev through UAT into production—including integration with customer data warehouses, ERP/CRM systems, and cloud environments (AWS, Azure, GCP).Enterprise readiness. Ensure the platform is configured, secured, and monitored to meet enterprise security and compliance requirements (SOC 2, ISO 27001, data residency, etc.).Bridge field back to product. Push field learnings into the core platform so the next deployment is faster.Account growth and development. Partner with Sales to identify expansion opportunities within the account—surfacing new use cases, supporting renewal conversations, and ensuring successful deployments convert to long-term customer relationships.QualificationsBS/MS in Computer Science, Software Engineering, Engineering, or equivalent practical experience.6+ years shipping production software, with 2+ years as a tech lead or senior individual contributor owning delivery end-to-end.Strong proficiency in Python, TypeScript/JavaScript, Java, Go, or C++.Demonstrated ownership of systems taken from zero to production in a commercial or enterprise context.Bring deep expertise in at least one vertical (financial services, healthcare, energy, manufacturing, or defense) to accelerate time-to-value and credibility with customer stakeholders.Experience working directly with business and technical stakeholders at mid-market or enterprise accounts—comfortable in both exec-level conversations and deep technical design sessions.Familiarity with enterprise data environments: cloud data warehouses (Snowflake, Databricks, BigQuery, Redshift), REST/GraphQL APIs, and common ERP or CRM platforms.Comfort with modern deployment practices: CI/CD, containerization (Docker/Kubernetes), cloud-native services, and infrastructure-as-code (Terraform or equivalent).Preferred QualificationsPrior experience as a tech lead or staff engineer at a SaaS or enterprise software vendor with a forward-deployed or professional services motion.Experience with AI/ML platform deployments or data-heavy enterprise applications at scale.Familiarity with major cloud environments: AWS, Azure, or GCP, including managed ML/AI services.Experience in regulated industries (healthcare/life sciences, manufacturing, energy) where compliance and change management are part of the delivery.Proven ability to turn a messy, ambiguous customer problem into a clean, repeatable deployment pattern.C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

An exciting opportunity for a Senior DevSecOps Engineer has arisen with a leading mission-critical telecommunications company, based in London. The right to work in the UK without sponsorship is essential for this vacancy. Eligibility for SC clearance is also required. Hybrid role - 3 days per week in the London office. This is a senior, hands-on engineering role requiring an experienced DevSecOps and platform engineer who has operated complex systems in production. You will personally design, build, secure, deploy, and operate mission-critical systems where downtime, misconfiguration, or security failures have real-world consequences. This role will involve: Security & DevSecOps Apply OS, container, and application hardening aligned with UK security standards. Actively operate SELinux in enforcing mode. Integrate SAST, dependency scanning, and image scanning into CI/CD pipelines. Participate in incident response, root-cause analysis, and remediation. Core Platform: Build and operate hardened Red Hat Enterprise Linux platforms across geo-redundant datacentres. Automate infrastructure using Ansible, Bash, and Python at scale. Design and troubleshoot CI/CD pipelines well beyond template configuration. Operate Kubernetes and OpenShift platforms, including security, networking, and failure recovery. Run Pacemaker/Corosync clusters and diagnose split-brain, fencing, and quorum issues. Configure HAProxy in active/active and active/passive configurations. Design platform-level routing using BGP/BFD (FRR or equivalent). Design and implement RESTful APIs in Go and Python used in live systems. Key skills/experience required: In-depth commercial expertise in a production DevSecOps / Devops / Platform role. Strong, demonstrable Red Hat Enterprise Linux experience. Production Go and Python backend development. Kubernetes or OpenShift operational responsibility. Experience in regulated, audited, or mission-critical environments. If you are a DevSecOps Engineer looking to work in a high-impact, mission-critical environment, please apply today or contact Matt Andrews to learn more!

Main PurposeTrafigura is undergoing an exciting Digital Transformation, developing innovative AI technologies to change the way we work in Commodities Trading. The Document AI team is a key pillar of this initiative, unlocking data-rich proprietary documents to enable high-value process optimisation and data science use cases.We are seeking a Senior Product Engineer to work closely with our AI team to build the applications and systems that bring AI capabilities to our trading operations. You will be building robust AI/LLM applications that directly impacts trading operations.This is a hands-on Individual Contributor role.Required Qualifications5-8+ years of experience building production backend systems and APIsFunctional frontend skills - comfortable with React, TypeScript, and building user interfaces when neededExpert-level modern Python proficiency with deep knowledge of the ecosystem (Pydantic, FastAPI, asyncio, type hints)Strong experience with REST APIs, microservices architecture, and database design (SQL, NoSQL)Experience with modern AI frameworks (we currently favour Pydantic AI) and LLM integrationProduction experience with monitoring, observability, and system reliabilityStrong fundamentals in software testing, evaluation frameworks, and quality assuranceIn-depth understanding of modern software design principles (microservices, event-driven architectures, domain driven design, object oriented programming, test driven development)In-depth understanding of modern software development lifecycle (CI/CD, IaC, Containerisation)Practical experience with cloud engineering (preference for AWS)Preferred QualificationsPrior experience in Commodities, Fixed Income, Equities, Asset Management is a plusKey ResponsibilitiesDevelop and maintain Python-based backend services and APIsBuild document processing pipelines using LLMs and traditional ML techniquesBuild functional frontend interfaces and integrate them with backend systemsDebug performance issues, handle edge cases, and optimize system reliabilityWrite comprehensive tests and implement monitoring for backend systemsRapidly prototype new features, evaluate them, and implement to productionParticipate in code reviews, technical design discussions, and architecture decisionsCommunicate effectively with both technical and non-technical stakeholders to understand and translate business requirements into production codeExample projects you might own in the first 6 months include:Define and build agent-user interactions to integrate AI agents into applications that our 5,000+ employees use every dayExtend our in-house intelligent document management system with additional AI-powered features with intuitive human-centred UXIntegrate our firmwide AI Assistant with internal data sources using MCPAttributes for successEngineering mindset focused on delivering practical solutions that solve real business problemsSelf-directed and comfortable working autonomously with minimal supervisionPragmatic approach to technology choices - you pick the right tool for the job rather than chasing trendsDeep appreciation for SRE principles and mindset for scaling with a small and lean teamIntellectually curious and desire to work in Applied AIStrong desire to help people solve problemsKey RelationshipsYou will work closely with the Digital Transformation Team to understand business requirements and rollout production-grade applications to solve them.You will support the Data Science & Engineering teams as a primary user segment, providing ad-hoc support and understanding user problems.Department OverviewThe Digital Transformation Team is a joint venture between Trading Technology and the Data Science and Engineering Team, driving Trafigura's AI-powered evolution in commodities trading. As a Centre of Excellence for Agentic AI, we develop scalable applications that impact over 5,000 employees daily, supporting both immediate business needs and broader data science initiatives across Trafigura's global operationsReporting StructureYou will report directly to the Document AI Lead.Equal Opportunity EmployerWe are an Equal Opportunity Employer and take pride in a diverse workforce. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, colour, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or handicap, disability, or any other legally protected status.Please make sure that you submit your CV in English.SummaryLocation: London, United KingdomType: Full time

About this role:Wells Fargo is seeking a Principal Engineer in technology as part of Commercial and Corporate & Investment Banking Technology (CCIBT). Wells Fargo Securities (WFS) is the Capital Markets and Investment Banking division of Wells Fargo Bank, N.A. Within Institutional Investor Services, Electronic Trading Technology delivers scalable, resilient, and low‑latency platforms supporting cross‑asset trading strategies.We are seeking a Principal Engineer to join the Electronic Trading organization, focused on Rates and cross‑asset electronic trading platforms. This role is a hands‑on individual contributor and technical authority, responsible for the design, evolution, and modernization of highly complex electronic trading systems.This role serves as a hands‑on technical authority for complex electronic trading systems across Rates and related asset classes, leading cross‑team initiatives by defining architecture, design patterns, and performance standards. You will design, develop, and support low‑latency trading applications—including pricing, RFQ, market making, order routing, and market‑data components—while maintaining end‑to‑end ownership across the full SDLC and production support. The role requires translating complex trading requirements into robust technical solutions, ensuring platforms are resilient, observable, and compliant with enterprise risk standards, and partnering closely with product managers, traders, quants, platform engineering, and vendors, while mentoring engineers through technical leadership and influence.This role defines and governs enterprise‑standard AI‑assisted engineering practices, including prompt‑driven development, automated testing, diagnostics, documentation, and developer‑productivity tooling, while architecting controlled LLM integrations such as MCP‑based services for development, observability, and automation. You will establish strong guardrails to ensure secure, explainable, auditable AI usage and partner closely with platform, security, risk, and compliance teams to evolve GenAI and agentic‑AI capabilities in alignment with Wells Fargo governance standards.In this role, you will:Act as an advisor to leadership to develop or influence applications, network, information security, database, operating systems, or web technologies for highly complex business and technical needs across multiple groupsLead the strategy and resolution of highly complex and unique challenges requiring in-depth evaluation across multiple areas or the enterprise, delivering solutions that are long-term, large-scale and require vision, creativity, innovation, advanced analytical and inductive thinkingTranslate advanced technology experience, an in-depth knowledge of the organizations tactical and strategic business objectives, the enterprise technological environment, the organization structure, and strategic technological opportunities and requirements into technical engineering solutionsProvide vision, direction and expertise to leadership on implementing innovative and significant business solutionsMaintain knowledge of industry best practices and new technologies and recommends innovations that enhance operations or provide a competitive advantage to the organizationStrategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadershipRequired Qualifications:Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, educationElectronic trading experience within capital markets, with deep exposure to Rates or Fixed Income e‑trading platformsExperience designing and building high‑performance, low‑latency trading systems, including pricing, RFQ/RFS, order management, market data, and execution workflowsHands‑on experience with Java in performance‑critical systems (with exposure to Python and/or C++ as applicable)Desired Qualifications:Deep experience with FIX protocol, ECN connectivity, market data feeds, and exchange/broker integrationsProven ability to operate as an individual contributor technical lead, owning architecture and influencing multiple engineering teamsStrong experience partnering directly with traders, product teams, and business stakeholders to resolve complex production and performance issuesExpertise in low‑latency and real‑time system design, including JVM tuning, GC optimization, threading models, memory management, and performance profilingStrong understanding of electronic market making algo trading, SOR/EMS platforms, and internalization modelsWorking knowledge of OMS, CLOB, and post‑trade processing flowsFamiliarity with quantitative modeling concepts and analytics used in electronic tradingExperience with regression and performance test automation frameworksAdvanced knowledge of capital markets business processes and trade lifecycleStrong understanding and practical application of Agile and DevOps practicesExperience integrating Large Language Models (LLMs) in enterprise environments, with emphasis on governance, traceability, and controlled usageFamiliarity with agentic AI workflow and Model Context Protocol (MCP)–based SDLC is a strong plusJob Expectations:This position offers a hybrid work scheduleThis position is not eligible for Visa sponsorshipRelocation assistance is not available for this positionPosting End Date: 29 Aug 2026*Job posting may come down early due to volume of applicants.We Value Equal OpportunityWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.Applicants with DisabilitiesTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.Drug and Alcohol PolicyWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.Wells Fargo Recruitment and Hiring Requirements:a. Third-Party recordings are prohibited unless authorized by Wells Fargo.b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.SummaryLocation: CITY OF LONDON,Type: Full time

Help Build the Next Generation of AI Silicon I'm currently working with an exciting, well-funded semiconductor company developing next-generation AI hardware designed to overcome one of the biggest challenges facing modern computing. As AI workloads continue to increase in complexity, the demand for faster, more efficient silicon has never been greater. This team is developing a cutting-edge AI accelerator architecture that will help redefine the future of high-performance computing. They're now looking for a DFT Engineer to join the team implementing Design-for-Test for a large, multi-core AI accelerator ASIC. You'll play a key role in delivering a scalable, production-ready DFT solution, working across scan implementation, ATPG, memory test and silicon bring-up. This is an excellent opportunity to develop your expertise while working alongside experienced engineers across architecture, RTL, physical design and product engineering. Responsibilities Contribute to the DFT architecture of a complex multi-core AI accelerator SoC Integrate DFT methodologies and tools into the overall ASIC design flow Implement scan insertion, scan compression and associated test logic Generate, analyse and debug ATPG patterns for structural fault coverage Support MBIST implementation for large embedded memory arrays Work closely with Physical Design teams to ensure robust scan chain implementation and timing closure Develop scripting and automation to improve DFT efficiency and workflows Support silicon bring-up, manufacturing test and post-silicon debug Collaborate with Product and Test Engineering teams to support ATE bring-up, production test and yield improvement What they're looking for Degree in Electronic Engineering, Computer Engineering or a related discipline Experience in DFT, digital IC design or ASIC development Good understanding of: Scan architecture ATPG MBIST Digital test methodologies Familiarity with industry-standard EDA tools Scripting experience using Python, Tcl or similar languages You'll enjoy solving technical challenges, working collaboratively across engineering disciplines and developing your expertise on complex, leading-edge silicon. You're naturally detail-oriented, enjoy working on large-scale ASICs and are keen to grow your knowledge of Design-for-Test within a high-performing engineering team. Why Join? Work on genuinely innovative AI silicon with real-world impact Be part of a highly collaborative engineering culture Gain exposure across the full ASIC development lifecycle, from architecture through to silicon bring-up Work alongside experienced experts across hardware, software and systems engineering Take ownership of meaningful technical challenges while continuing to develop your career If you'd like to hear more, I'd be happy to share further details in confidence. For more information, contact Rachel at IC Resources

Role Overview: As a Regulatory Reporting Engineer, you will play a critical role in designing and building technology solutions that support global trade and transaction reporting obligations. Working at the intersection of engineering, data, and regulatory compliance, you will develop scalable systems and data pipelines that process large volumes of trading data and deliver accurate, timely regulatory reporting. You will partner closely with Engineering, Compliance, Operations, and business stakeholders to translate evolving regulatory requirements into robust technical solutions. This role offers the opportunity to solve complex data challenges, modernize reporting infrastructure, and help shape the future of regulatory technology through automation and advanced engineering practices. Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available. Responsibilities: Design, develop, test, and deploy scalable regulatory reporting applications and data pipelines Build solutions that model complex front-to-back trading workflows and business processes Develop and maintain systems that support global trade and transaction reporting requirements Partner with Compliance, Operations, and business teams to translate regulatory obligations into technical implementations Investigate reporting exceptions, reconcile data discrepancies, and implement durable automated solutions Optimize data processing frameworks to improve reporting accuracy, scalability, and operational efficiency Support the full software development lifecycle, including production monitoring, troubleshooting, and continuous improvement Leverage modern data engineering technologies and AI-enabled workflows to enhance automation and control frameworks Qualifications: Bachelor's degree in Computer Science, Engineering, or a related technical field Strong professional experience developing software in Python Strong SQL and relational database expertise Solid understanding of software engineering principles, system design, and data architecture Experience building scalable data processing solutions and distributed systems Excellent analytical and problem-solving skills with the ability to work through complex, ambiguous challenges Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical teams Preferred Experience supporting regulatory reporting, transaction reporting, financial controls, or other highly regulated environments Knowledge of financial markets, trading systems, financial products, and trade lifecycles Experience with cloud platforms and modern data engineering technologies Exposure to AI-enabled workflows, intelligent automation, or machine learning applications Experience working with large-scale financial datasets

Who are we?Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 24,000 employees spanning over 56 countries.People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.Senior Technical Engineer – Microsoft AzureRole Type: Permanent circa. 80-90k plus benefits.Role SummaryThe Senior Technical Engineer is responsible for providing hands‑on technical leadership across the design, build, and delivery of enterprise‑scale solutions on the Microsoft Azure platform. This role combines deep technical expertise with leadership, architecture ownership, and close collaboration with product, delivery, and business stakeholders to ensure high‑quality, secure, and scalable solutions.Key ResponsibilitiesTechnical Leadership & ArchitectureAccountable for the end‑to‑end technical design of solutions built on Microsoft Azure, ensuring quality, scalability, resilience, security and adherence to the high-level architectural design.Define and govern technical standards, patterns, and best practices across cloud and application services.Act as the senior technical authority for Azure‑based solutions, providing guidance on design decisions and trade‑offs.Leverage AI responsibly throughout the delivery process and implementation of business solutions.Delivery & EngineeringLead and contribute to hands‑on development using technologies such as .NET / C#, APIs, microservices, and Azure PaaS services.Lead and contribute to hands-on development of integration solutions using Logic Apps, Function components, Message Bus services, Event Grid services, and API Manager instancesOversee code quality through design reviews, code reviews, and continuous improvement of engineering standards.Troubleshoot complex production issues and drive root‑cause analysis and long‑term fixes.Azure & DevOpsDesign and implement solutions using core Azure services (e.g. App Services, Azure Functions, Azure SQL, Storage, Service Bus, Kubernetes).Design and implement solutions using Azure integration services (e.g. Logic Apps, Function components, Message Bus services, Event Grid services, and API Manager instances)Champion DevOps practices, including CI/CD pipelines, automation, infrastructure‑as‑code, and release management using Azure DevOps or equivalent tooling.Ensure solutions comply with standards, security, compliance, and operational requirements.Leadership & CollaborationProvide technical leadership and mentoring to developers and engineers, supporting skills growth and career development.Work closely with Product Owners, Delivery Leads, Architects, and Business Stakeholders to translate requirements into effective technical solutions.Work with solution architects to provide feedback and implement the architectural solution.Support estimation, planning, and risk management from a technical perspective.Required Skills & ExperienceCore ExperienceStrong experience as a Technical Lead / Senior Engineer delivering complex systems.Extensive hands‑on experience with Microsoft Azure cloud services.Strong background in .NET / C# application development and API‑based architectures.Experience designing and implementing integrated services e.g. microservices and data integrations.Working knowledge of how-to best leverage Azure AI services for business solutions.Solid understanding of the Microsoft ecosystem for Copilot, AI agents and Power Platform integration. Cloud & EngineeringSolid understanding of cloud architecture principles, security, networking, and performance.Experience with CI/CD, automated testing, and DevOps pipelines.Familiarity with containerisation and orchestration (e.g. Docker, AKS) advantageous.Leadership & CommunicationProven ability to lead technical teams and influence technical direction.Strong communication skills, able to explain complex technical concepts to non‑technical stakeholders.Pragmatic, delivery‑focused mindset with strong problem‑solving skills.Qualifications & CertificationsMicrosoft Azure Certifications desirable but not mandatory.What Success Looks LikeHigh‑quality Azure integration solutions delivered to agreed standards.Clear technical direction and strong engineering discipline across teams.Improved reliability, scalability, and security of cloud platforms.Strong, capable engineers who are supported and mentored effectively.What do we offer in return?A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:Our successes have all come from someone brave enough to try something newWe support each other in the small everyday moments and the bigger challengesWe are determined to make a positive difference at work and beyondReasonable adjustmentsWe're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours or hybrid working.If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.PermanentSummaryLocation: LondonType: Full time

Full TimeOn-siteLondon, UKPosted 3 weeks ago90,000 - 100,000 GBP / Year Founding Engineer job in London – 90K – 110KHexwired has partnered with a leading company in the SaaS sector. They are looking for a number of Founding Engineers who will own backend, frontend, infrastructure, and deployment of the products AI agents to have the full-stack ownership. This will include shipping features from concept through to production.The main responsibilities for the Founding Engineer in London are to make architectural decisions that shape the product.Key requirements for this Founding Engineer job:Bachelor’s or Masters degree in computer science or another related field from a Russell group university2+ years experience working as a software or founding engineerExperience working with start-up companies (ideally within the Saas sector)Strong interpersonal and communication skillsCore stack for this role:Python – Designing and developing scalable backend systems, automation workflows, and data-processing solutions.FastAPI – Architecting asynchronous APIs and event-driven microservices.TypeScript / JavaScript – Delivering robust, maintainable frontend and full-stack applications.Next.js / React – Building high-quality production applications with a focus on performance and user experience.PostgreSQL / Redis – Implementing efficient data models, optimised queries, caching strategies, and asynchronous processing patterns.GCP / AWS – Managing cloud-native infrastructure, CI/CD deployments, monitoring, and operational reliability.The company is rapidly expanding and are at the forefront of their industry. They are looking to pay circa up to 110k along with an excellent benefits package. If you’re interested in this Founding Engineer job in London, please apply.For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, Machine Learning, Data Science or Simulation contact us today.Tagged as: Data, Java, Python, Saas, SQL, Typescript

LondonProduct & Engineering – Product /Full Time Employee /HybridAevi is the independent in-person payment orchestration platform: one product, one platform, working across hardware, acquirers, and processors anywhere in the world. We are building a Product & Solutions function to turn that platform capability into scalable revenue, and we need someone to own the integration engine that makes it possible.As Director, Partner Integrations, you will own the end-to-end process by which ISVs, POS providers, and enterprise partners integrate with Aevi across UK and EU markets. That means building the structure, standards, and documentation that let us scale our integration base without scaling our headcount, and it means being the honest, technically credible voice in the room when a commercial conversation needs grounding in reality.This is not a support role. It sits at the intersection of commercial, product, and engineering, and it requires someone who is as comfortable scoping a partner integration on a customer call as they are raising a product gap ticket with an engineering team.What you will doOwn the end-to-end partner integration lifecycle (including customers, Acquirers and processors), from initial qualification and scoping through delivery to production handoverDefine and enforce integration standards that create a consistent, high-quality experience for every partner we onboardWork alongside pre-sales to qualify integration requests before commitments are made, and scope technical requirements in enough depth to make honest, documented delivery assessmentsIdentify the difference between a product gap and a partner integration issue, and route each one appropriatelyBuild and maintain integration documentation, welcome pack templates, and Hello World reference environments that let partners hit the ground runningCreate a feedback loop between support, documentation, and product so that recurring integration issues drive improvements rather than just ticketsWork directly with engineering, pre-sales, and product to make sure integration standards and delivery commitments stay grounded in what the platform can actually doWhat we are looking forEssentialSenior-level background in a payments integration, systems integration, or partner solutions role, with real card present payment experiencePractical API and integration knowledge: able to read and interrogate specs, reproduce issues, and diagnose where in a stack a problem livesProven track record of owning and improving integration processes or partner onboarding frameworksComfortable on both sides of the commercial and engineering boundary: not purely an engineer, not purely a commercial personClear, accurate written communication that produces external-quality documentation without editorial supportDesirableExperience in the fuel, convenience, or retail POS verticalExposure to card-not-present flows, processor connectivity, or payment scheme certificationExperience building or growing an integration team in a scaling business

Collinson is the global, privately-owned company dedicated to helping the world to travel with ease and confidence. The group offers a unique blend of industry and sector specialists who together provide market-leading airport experiences, loyalty and customer engagement, and insurance solutions for over 400 million consumers. Collinson is the operator of Priority Pass, the world’s original and leading airport experiences programme. Travellers can access a network of 1,500+ lounges and travel experiences, including dining, retail, sleep and spa, in over 650 airports in 148 countries, helping to elevate the journey into something special. We work with the world’s leading payment networks, over 1,400 banks, 90 airlines and 20 hotel groups worldwide.We have been bringing innovation to the market since inception – from launching the first independent global VIP lounge access Programme, Priority Pass to being the first to sell direct travel insurance in the UK through Columbus Direct and creating the first loyalty agency of its kind in the travel sector with ICLP. Today we still invest heavily in innovation to ensure that we continue to deliver superior customer experiences.Key clients include Mastercard, American Express, Cathay Pacific, British Airways, LATAM, Flying Blue, Accor, EasyJet, HSBC, Chase, HDFC.Our mission is focused on doing good beyond profit, which for us means we seek out opportunities for our people to share in our success and that we give back to the communities and people within which we work.Never short of ambition, the success of our business is delivered through the diverse and talented team of over 2,200 global colleagues.Lead DevOps EngineerThe RoleAs Lead DevOps Engineer, you'll own the design, reliability, scalability, security, and cost efficiency of our production platform - a zero-downtime, multi-region AWS environment running Kubernetes and serverless workloads and centralised AI enablement layers at scale. You'll set the technical direction for the DevOps team, driving and documenting the platform standards, practices, and tooling that champion DevEx, eases friction and keep our systems resilient and secure.This is a hands-on leadership role. You’ll architect and solve complex infrastructure challenges while mentoring and growing the engineers around you. You'll own our platform SLAs, serve as the platform advocate in cross-functional decisions, and act as the core authority on resilience, cost, security, and enablement.Key ResponsibilitiesPlatform Ownership - Own the end-to-end reliability, stability, and performance of our production platform. Enforce SLAs across availability, security posture, and resilience. Drive the measures, thresholds, and incident response standards the team operates to.Zero-Downtime Operations - Run and maintain a multi-region, zero-downtime platform. Own deployment strategies (blue/green, canary), traffic management, and failover patterns that ensure continuous availability under change and failure.Security & Compliance - Own the platform's security posture end to end: networking controls, IAM, KMS, secrets management, vulnerability management, and compliance against frameworks such as PCI DSS v4 and CIS Benchmarks. Work closely with security teams and act as the DevOps authority on audit and risk.DR & Business Continuity - Participate in disaster recovery strategy, automation, execution and continuous improvement.TCO & Cost Management - Drive the strategy on platform total cost of ownership, providing teams with clear cost-allocation visibility. Drive rightsizing, tagging strategy and architectural decisions that balance cost against reliability and developer experience.Infrastructure as Code & CI/CD - Set and maintain the standards for IaC (Terraform, Terragrunt). Ensure deployments are secure, fast, and auditable. Raise the bar on automation so routine operational tasks are eliminated, not managed.Observability - Own the observability strategy across the platform using Datadog. Define what good looks like: SLO/SLA dashboards, alerting thresholds, runbooks, and the feedback loops that let teams act on signals before users feel them.Team Leadership & Mentoring - Lead and grow a team of DevOps engineers. Set technical direction, conduct design reviews, and create an environment where engineers take ownership. Actively mentor and develop less experienced engineers, helping them move from task execution to platform thinking.AI & Automation - Lead the team's adoption of AI-assisted operations - embedding AI into CI/CD pipelines, runbook automation, incident response, and developer tooling. Define where AI adds real leverage and own its safe integration into the platform.Your ExperienceDeep expertise with AWS at scale: EKS (Automode), Lambda, EC2, RDS/Aurora, multi-region networking (VPC + Endpoints, Transit Gateway, Network Firewall, WAF, API Gateway), security services (IAM, KMS, Secrets Manager, SCPs, Security Hub, GuardDuty) and AI tooling (Bedrock Agentcore).Proven ownership of a production-grade EKS platform with zero-downtime deployments - ArgoCD, Istio, blue/green and canary strategies are second nature.Terraform expert. You've set the IaC standards for a team, not just followed them.Automation & CI/CD - Be an authority on CI/CD pipelines to automate fast, secure and seamless deployments, with a strong emphasis on improving developer experience to automate routine tasks and improve operational efficiency.Experience embedding AI into SLDC workflowsHands-on DR experience: automated backup, multi-region/az failover, AWS FIS testing, and formal DR exercises with defined RTO/RPO targets.Familiarity with security - you've worked within a compliant environment, and you're comfortable in security audits and risk conversations. You're comfortable with security tooling such as CrowdStrike and Rapid7, SIEM/SOC.Observability ownership with Datadog (or equivalent) - you've defined SLOs, built the dashboards, and set the alerting culture.Experience leading or mentoring a DevOps team - you can set direction, manage technical debt conversations, and grow engineers.Comfortable with Python, Bash, Ansible, Helm, and GitHub Actions.Collinson is an equal opportunity employer and welcomes differences in all their forms including: colour, race, ethnicity, gender identity, sexual orientation, neurodivergence, family status, age, individuals with disabilities and people from all backgrounds, cultures and experiences as we strongly believe this contributes to our on-going success.We are focused on continually evolving our purpose driven, high performing culture, providing an environment where our people have the opportunity to achieve their full potential and do interesting and meaningful work. Our company values are: Take Action, Do the right thing, One team and Be insight led. These help guide everything we do internally in terms of how we think, act and interact, right through to how we deliver value to our customers and clients.In your application, please feel free to note which pronouns you use (For example - she/her/hers, he/him/his, they/them/theirs, etc).If you need any extra support throughout the interview process, then please email us at ukrecruitment@collinsongroup.com

Quant Developer C++ Remote Quant Capital is urgently looking for a Python Engineer to work for our high profile investment management vendor. Our client is a well known global wealth management HFT software business. They provide valuations and pricing of derivatives to most of the buy side. The environment is that of Facebook or Google, relaxed open with time to think and make the right decisions. The atmosphere is calm and relaxed with an open dress code. This is a role for techies, those who are motivated by the sharp end of technology and the possibility of making serious money doing something you are passionate about. This role will involve the design and development of OTC valuation models and work closely with the development team to integrate these analytics within the main valuation infrastructure for a broad range of OTC derivatives products across equity, credit, interest rate, commodities and foreign exchange markets. This is an opportunity for a quantitative developer with development experience and knowledge of derivative pricing models for both vanilla and exotic derivatives. Day to Day Quant Developers will: • Design, development and maintenance of several proprietary analytics libraries that drive valuation engines across multiple applications. • Implementation of financial models that range from the simplest models to the more sophisticated analytics methods, according to business requirements. • All phases of system development including algorithm design, back testing, integration with other applications and production deployment. This role requires solid experience with C++ as well as Java and C# programming, as it involves development of interfaces to the core C++ analytical library. Quant Developers Must Have: Degree ideally Masters preferred in Mathematics, Physics, Engineering, Computer Science, Finance or a related discipline Experience in C++ development tools and high-level object-oriented programming. Experience in Java, C# or Python will also be considered valuable. Experience with a cross section of derivative products including foreign exchange, interest rate, credit and equity derivatives. Experience in fixed-income analytics (mortgage, bonds, …) will be a plus but not the only determinant. My client is based in London this role will be remote 4 days a week. Get: Mongo, Quant, Pricing Derivatives, Consultancy C++ Quant Analyst Investment Bank, Hedge Fund Modelling, ASP.NET MVC, SQL

Role Summary We are seeking a highly motivated Credit & Rates C++ Engineer to join our Fixed Income Technology team in London. This role sits directly alongside Traders and Sales across the European Government Bonds, EUR/GBP Rates, and Credit businesses, offering the opportunity to work at the center of a fast-paced global trading environment. You will partner closely with Trading, Quantitative Research, and global Technology teams to design, build, and support high-performance trading, analytics, pricing, risk, and data systems that power a growing credit and rates platform. This role is heavily focused on production-level C++ development and requires strong product knowledge or hands-on experience across rates, credit, fixed income, derivatives, or closely related trading products. Products may include government bonds, corporate bonds, interest rate swaps, bond futures, SOFR/SONIA/EURIBOR products, CDS, credit indices, repo, inflation products, swaptions, and fixed income ETFs. This is an opportunity to contribute to a team building next-generation Credit & Rates Technology, where engineering quality, ownership, and close business partnership are highly valued. Opportunities may be available from time to time in any location in which the business is based for suitable candidates. If you are interested in a career with Citadel, please share your details and we will contact you if there is a vacancy available. Responsibilities Build, maintain, and support high-performance trading and analytics systems primarily in modern C++. Develop systems supporting credit and rates products, including government bonds, corporate bonds, swaps, futures, CDS, credit indices, repo, inflation products, swaptions, and fixed income ETFs. Work closely with Traders and Sales across EGB, EUR/GBP IRS, and Credit desks to deliver front-office technology solutions. Partner with Quantitative Researchers and global Technology teams to turn trading requirements, research ideas, and models into production systems. Build tools and libraries for pricing, curve construction, spread analytics, risk, portfolio analytics, execution workflows, and P&L attribution. Develop high-performance, low-latency, multi-threaded applications in C++. Contribute to the architecture and design of distributed trading systems. Work with real-time market data, reference data, curves, ratings, index data, trade data, quote data, and execution data. Support electronic trading workflows including RFQ, dealer streams, venue connectivity, execution analytics, trade capture, and post-trade analysis. Analyze complex business and technical problems and implement scalable, maintainable solutions. Improve system performance, reliability, monitoring, and operational tooling. Provide timely production support for business-critical trading systems. Collaborate with teams across London, Paris, and New York. Qualifications Strong professional experience building production systems in C++, with C++ as the primary programming language in recent roles. Strong product knowledge or hands-on experience across rates, credit, fixed income, derivatives, systematic trading, or related trading products. Familiarity with products such as government bonds, corporate bonds, swaps, futures, CDS, credit indices, repo, inflation products, swaptions, or fixed income ETFs. Experience building trading, pricing, risk, analytics, market data, execution, or financial technology systems. Strong understanding of multi-threaded application design, distributed systems, data structures, algorithms, memory management, and system design. Ability to work directly with Traders, Sales, Quantitative Researchers, and Engineers in a fast-paced front-office environment. Highly adaptable with a proactive approach to leveraging AI tools to enhance productivity, decision-making, and innovation. What We Offer Direct access to front-office users and the chance to build systems used every day by credit and rates trading desks. Work on technically challenging problems across pricing, risk, market data, execution, and analytics. Close collaboration with engineering, trading, and quantitative research teams across London, Paris, and New York. Competitive compensation and benefits. A team environment that values ownership, strong engineering standards, and practical problem solving. In accordance with applicable law, the base salary range for this role is $175,000 to $350,000. In addition, the employee who fills this role will be eligible to participate in a discretionary incentive compensation program, as well as a wide array of benefit programs, such as medical and life insurance, retirement and tax-free savings plans, and access to other healthcare programs.

Grounded in safety, quality, and ethics, our experts lead their fields with dedication, a creative spirit, and a vision for growth. We draw from more than 20 technical specialties worldwide and are devoted to fostering a community of diverse talents, backgrounds, and expertise. Here, you can apply your passion and collaborate with top environmental professionals on work that’s vital to our clients and the communities they serve.Join a team that’s naturally committed to the environment.Your OpportunityWe have an exciting opportunity for a Senior Hydrogeologist in one of our regional offices (Winnipeg, Saskatoon, Regina, Calgary, Edmonton, or Whitehorse). The role of the Senior Hydrogeologist is to perform tasks and project management assignments associated with environmental impact assessments; hydrogeological studies; phased environmental site assessments, including subsurface investigations, soil and groundwater remediation, and monitoring projects; sampling of soil, sediment, surface water, and groundwater; production of maps; data interpretation/evaluation; groundwater modeling (analytical and/or numerical) and deliverable preparation as well as business development activities.Your Key ResponsibilitiesGeneral ResponsibilitiesContribute to and lead business development activities, including proposals, pre-qualifications, and relationship building with clients and prospective clientsAssist in analyzing current and emerging technical issues, and implementing actions to proactively address market, business, regulatory, and/or economic issuesIdentify new business opportunities and support the technical component of business development materialsResponsible for planning and conducting assignments/projects having broad scope for independent accomplishment and coordination of difficult tasksProvide supervision, training, technical direction and mentoring to intermediate and junior level staffApply technical and business knowledge and methods to develop creative, effective, and economical solutions to address current and potential project issuesExecute specific technical tasks or requirements for medium to large projectsConduct peer reviews of work by colleagues or more junior practitionersQualify as a Quality Reviewer and undertake Quality Reviews of deliverablesConduct a wide variety of hydrogeological assessment and development projectsParticipate in Health, Safety, Security and Environment (HSSE) Policies, Procedures, Standards and Guidelines in the execution of all workAssignments/projects are advanced in nature and require the application of mature knowledgeDemonstrate sound understanding and application of established practices, standards and guidelinesProvide technical expertise and support hydrogeological designs, proposals, and reportsDevelop conceptual hydrogeological models to support field program designWork with multi-disciplinary teams on baseline and impact assessment projects, feasibility studies, groundwater and surface water assessments, groundwater compliance, contaminant investigations, environmental assessments and permitting projects, rehabilitation projects, etc.Design and oversee implementation of hydrogeology field programs, including drilling and logging of overburden and bedrock core, sampling of soil and bedrock, groundwater sampling, aquifer testing (pump testing, slug testing, packer testing)Experience with Leapfrog, Surfer, AQTESOLV, ModFlow, FEFLOW, MT3D, or other groundwater modeling software is an assetHydrogeology ResponsibilitiesProvide technical expertise and support hydrogeological designs, proposals, and reportsDevelop conceptual hydrogeological models to support field program designWork with multi-disciplinary teams on baseline and impact assessment projects, feasibility studies, groundwater and surface water assessments, groundwater compliance, contaminant investigations, environmental assessments and permitting projects, rehabilitation projects, etcDesign and oversee implementation of hydrogeology field programs, including drilling and logging of overburden and bedrock core, sampling of soil and bedrock, groundwater sampling, aquifer testing (pump testing, slug testing, packer testing)Experience with Leapfrog, Surfer, AQTESOLV, ModFlow, FEFLOW, MT3D, or other groundwater modeling software is an assetYour Capabilities and CredentialsPassionate about safety. Consistently demonstrate and promote policies and procedures for Health, Safety, Security and Environment (HSSE)Advanced skills in technical writingProficient skills in communication and technical information exchange with clients, engineers and scientists, government regulators and agencies, and academia, as well as non-technical communication to the publicExperience mentoring and developing more junior staffExperience with groundwater or surface water modeling software is an assetDisciplined approach to project execution and technical excellenceAbility to provide written and verbal direction on project deliveryShow leadership in striving to continuously improve technical performanceChampion new ideas and initiatives, and create an environment that supports creativity and innovationBuild and maintain productive professional and personal networking relationshipsDrive collaborative efforts within the region and beyond to deliver consistent, high quality and appropriately scoped technical workEducation and ExperienceMaster’s degree in Geoscience, Engineering, or related field.Licensed Professional Engineer/Geologist.Minimum 10 years related experience, or an equivalent combination of education and experience.At least four years of experience successfully executing technical aspects of medium to complex projects.Good driving record and valid driver’s license required.Typical office environment working with computers and remaining sedentary for periods of time. Field work may include exposure to the elements including inclement weather as well as travel to remote communities.This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice.About StantecStantec is a global leader in sustainable engineering, architecture, and environmental consulting. The diverse perspectives of our partners and interested parties drive us to think beyond what’s previously been done on critical issues like climate change, digital transformation, and future-proofing our cities and infrastructure. We innovate at the intersection of community, creativity, and client relationships to advance communities everywhere, so that together we can redefine what’s possible.#StayInquisitivePay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) will have access to health, dental, and vision plans, a wellness program, health care spending account, wellness spending account, group registered retirement savings plan, employee stock purchase program, group tax-free savings account, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage, and paid time off.Temporary/casual employees will have access to group registered retirement savings plan, employee stock purchase program, and group tax-free savings account.The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements.Primary Location: Canada | MB | WinnipegOther Locations: Canada | AB | EdmontonOrganization: BC-1235 EnvSvcs-CA AlbertaEmployee Status: RegularBusiness Justification: New PositionTravel: YesSchedule: Full timeJob Posting: 09/03/2026 05:03:00Req ID: 1004749#additional

Communities everywhere share the need for clean water. And as they work to meet that need, they’re facing new, more complex challenges every day. Our water professionals collaborate to contribute innovative ideas, guided by scientific rigor and a vision for sustainable growth. Every day, we’re helping communities improve, reuse, and protect our world’s most precious resource.Join our team to deliver transformational projects that will benefit future generations. Grow with us, H2O+U.Your OpportunityStantec is seeking a Senior Project Manager, Conveyance to join our Water team. The role can be based out of one of the following offices: Toronto, Hamilton/Stoney Creek, Waterloo or London in a hybrid work arrangement.This role offers an opportunity for leading and developing designs on technically challenging storm, sanitary and watermain conveyance projects for clients within the GTA and Southwestern Ontario. You will be working as a Project Manager on projects alongside a Technical Lead and supporting team. You will help lead municipal conveyance designs on a broad variety of projects from small diameter sewers and watermains, to large box-culverts with complex utilities and locations. This role will provide an opportunity to offer guidance and mentorship to supporting designers and developing professionals. You will be performing a variety of tasks which may include liaising with clients, budgeting, scheduling, and coordination activities to progress the project. You will provide project leadership for the project team.Your Key ResponsibilitiesOversees and manages projects. Responsible for small and large projects of high complexity.Serve as the Project's point of contact with clients, agencies and others to obtain and determine project requirements and approvals.Supervises the work of other engineers and designers, including setting the priorities for their scope of work, budgets and schedules for completing the work in conjunction with other tasks.Take responsibility in managing project deliverables and schedule.Provides leadership for civil infrastructure projects, including the management of existing client relationships and bringing in new clients.Develop project scope, budgets, and design approach for projects, and support marketing and business development professionals in positioning for potential projects, writing technical portions of proposals, participating in client interviews and supporting negotiations for project contracts.Your Capabilities and CredentialsDemonstrated efficient project management/technical leadership of assigned tasks on multiple concurrent projects.Understand client expectations, budgeting, proposal writing, and producing high quality deliverables.Requisite knowledge, interpretation, and application of design and construction codes.Strong understanding of all phases of project document production and the relationship between drawings and specifications.Strong knowledge of civil systems, means and methods, materials, and industry standards.Ability to lead one or more teams through all phases of the project.Advanced understanding of civil engineering concepts and ability to communicate ideas to others.Strong presentation and communication skills.Ability to work in a flexible office environment, including working within the office setting, or working remote from home.Ability to participate and collaborate in a project team setting and to engage in creative and critical thought.Demonstrated creativity, foresight and engineering judgment in anticipating and solving problems.Strong understanding of engineering concepts and ability to communicate ideas to others.Understanding of Microsoft Office Suite is required; proficiency in engineering applications such as AutoCAD and MicroStation software packages are considered an asset.Education and ExperienceBachelor’s degree or equivalent in Environmental, Civil Engineering or related field from an accredited university.Professional Engineer or Certified Engineering Technologist registered in Ontario.Minimum of 15 years of project management experience in municipal conveyance design. Typical office environment working with computers and remaining sedentary for long periods of time. Field work may include exposure to the elements including inclement weather. This description is not a comprehensive listing of activities, duties or responsibilities that may be required of the employee and other duties, responsibilities and activities may be assigned or may be changed at any time with or without notice. Stantec is a place where the best and brightest come to build on each other's talents, do exciting work, and make an impact on the world around us. At Stantec, we live our corporate values every day.Pay Range:• Locations Outside of Lower Mainland -- BC & Various locations in Ontario-$135,700.00 - $185,700.00 Annually• Locations in Lower Mainland - BC, GTA & Ottawa Ontario-$136,300.00 - $204,500.00 AnnuallyPay Transparency: In compliance with pay transparency laws, pay ranges are provided for positions in locations where required. Please note, the final agreed upon compensation is based on individual education, qualifications, experience, and work location. At Stantec certain roles are bonus eligible. Actual compensation for part-time roles will be pro-rated based on the agreed number of working hours per week.Benefits Summary: Regular full-time and part-time employees (working at least 20 hours per week) will have access to health, dental, and vision plans, a wellness program, health care spending account, wellness spending account, group registered retirement savings plan, employee stock purchase program, group tax-free savings account, life and accidental death & dismemberment (AD&D) insurance, short-term/long-term disability plans, emergency travel benefits, tuition reimbursement, professional membership fee coverage, and paid time off.Temporary/casual employees will have access to group registered retirement savings plan, employee stock purchase program, and group tax-free savings account.The benefits information listed above may not apply to union positions because benefits for such positions are governed by applicable collective bargaining agreements.Primary Location: Canada | ON | TorontoOther Locations: Canada | ON | LondonOrganization: BC-1656 Water-CA Ontario WestEmployee Status: RegularBusiness Justification: New PositionTravel: YesSchedule: Full timeJob Posting: 04/08/2026 02:08:31Req ID: 1005419#additional

Data Engineer - Audience MeasurementMake your mark at IpsosIpsos is recruiting a Data Engineer to help drive the technical evolution of our Audience Measurement data platforms. Joining a wider group of engineering leaders, you will work as part of a team championing an architecture rooted in managed cloud services, cost-conscious design, and incremental improvement. You will work closely with internal teams to Develop robust scalable data pipelines and optimise data storage solutions on GCP.What is in it for you? This is a fantastic opportunity for a mid-career / level person to work on technologies chosen intentionally, favouring proven tools that reduce cognitive load and maximise team velocity. Our core ecosystem revolves around:Modern Python for backend services and data processing.Cloud-native serverless compute and managed workflow orchestrators. We operate across both AWS and GCP. Deep expertise in either is welcome, with opportunities to cross-train on the other.Serverless NoSQL, Object Storage, and Serverless Analytics for our data layers.Event buses and messaging queues for asynchronous, decoupled processing.Infrastructure as Code (Pulumi/Terraform) and containerized deployments.The roleAs a Data Engineer, you will work in the team to guide the platform's evolution toward serverless, event-driven patterns, moving away from container-orchestrated workflows toward managed cloud services.Platform Operations: Develop robust scalable data pipelines and optimise data storage solutions on GCP.Implement ETL processes and CI/CD pipelines to ensure clean, structured data ready for use.Work with data scientists to integrate synthetic models into production environments and provide the guardrails and advice as they develop. Provide technical support, troubleshoot issues, and research new technologies to enhance capabilities.Document pipelines and the platform including architectures and user guides, helping to enforce data management standards.Engage in DataOps practices and improve data delivery performance.Data Science & Analytics Enablement: Partner with data scientists on model productionisation. You will establish clear data contracts and shared standards that enable effective collaboration.Agile Delivery: Work within an agile framework. Participate in agile ceremonies and provide occasional client interaction.Team Working / Stakeholder Engagement: Provide technical advice and guidance for internal teams and occasionally clients. Explain complex technical solutions to non-technical audiences.Continuous Improvement: Foster a culture of incremental improvement. Vision and Strategy: Support the architectural as set out by the Lead Data Engineer. About you:To be successful in this role, your technical skills should be matched by a pragmatic approach.Extensive Data Engineering Experience: A proven track record of building robust scalable data pipelines using modern cloud providers (Ideally GCP).Strong Programming Skills: Expert-level proficiency in Python, with a strong focus on building decoupled, testable functions and clear data contracts.Serverless & Event-Driven Expertise: Experience with, or strong interest in, decomposing workloads into independent steps orchestrated by managed workflow services and triggered by data events.Migration & Testing Experience: Experience with safely modernizing legacy systems using parity testing and incremental routing patterns.IaC & Containerization: Hands-on experience packaging runtimes into portable containers and provisioning cloud resources using modern Infrastructure as Code tools.Team working / Collaboration: Experience of working with wider teams of Product Managers, Data Scientists, Engineers and non technical staff.Benefits:We offer a comprehensive benefits package designed to support you as an individual. Our standard benefits include 25 days annual leave, pension contribution, income protection and life assurance. In addition, there are a range of health & wellbeing, financial benefits and professional development opportunities.We realise you may have commitments outside of work and will consider flexible working applications - please highlight what you are looking for when you make your application. We have a hybrid approach to work and ask people to be in the office or with clients for 3 days per week.We are committed to equality, treating people fairly, promoting a positive and inclusive working environment and ensuring we have diversity of people and views. We recognise that this is important for our business success - a more diverse workforce will enable us to better reflect and understand the world we research and ultimately deliver better research and insight to our clients. We are proud to be a member of the Disability Confident scheme, certified as Level 2 Disability Confident Employer. We are dedicated to providing an inclusive and accessible recruitment process.Ipsos is one of the world’s largest research companies and currently the only one primarily managed by researchers, ranking as a #1 full-service research organization for four consecutive years. With over 75 different data-driven solutions, and presence in 90 markets, Ipsos brings together research, implementation, methodological, and subject-matter experts from around the world, combining thematic and technical experts to deliver top-quality research and insights. Simply speaking, we help the biggest companies solve some of their biggest problems, serving more than 5000 clients across the globe by providing research, data, and insights on their target markets. And we are proud of our continuous efforts in making Ipsos the best place to work!Posting Date: 2026-07-08

About Vantage Data CentersVantage Data Centers powers, cools, protects and connects the technology of the world’s well-known hyperscalers, cloud providers and large enterprises. Developing and operating across North America, EMEA and Asia Pacific, Vantage has evolved data center design in innovative ways to deliver dramatic gains in reliability, efficiency and sustainability in flexible environments that can scale as quickly as the market demands.Position OverviewThis position will be based at our office in London in alignment with our flexible work policy. (3 days on site, 2 days from home).Vantage Data Centers is seeking a Mid‑Level Data Engineer to help build, operate, and scale our enterprise data platform. This role is designed for an engineer who can operate independently, execute reliably in a fast‑paced environment, and take ownership of data pipelines and datasets with minimal ramp‑up.As part of the Data Engineering & Business Intelligence team, you will be responsible for delivering production‑ready data solutions that support analytics, reporting, and emerging AI‑enabled use cases. You will work closely with senior data engineers and business partners, but this role assumes a self‑starter mindset with the ability to move from requirements to implementation without constant oversight.Success in this position requires comfort with ambiguity, strong execution discipline, and accountability for results.Essential Job FunctionsDesign, build, and maintain reliable, scalable data pipelines using Python and PySpark on the Microsoft Azure data platform.Develop and operate batch and incremental data pipelines leveraging Azure Data Factory for orchestration and Azure Data Lake Storage Gen2 as the primary data store.Independently implement SQL- and Spark‑based transformations to produce curated datasets that support enterprise reporting, analytics, and downstream consumption.Take ownership of assigned data pipelines and datasets, including monitoring, troubleshooting, and performance optimization in production environments.Work with Azure Synapse (dedicated or serverless where applicable) to support analytical workloads and data consumption patterns.Collaborate with business analysts and cross‑functional stakeholders to translate data requirements into practical, working data solutions.Prepare and structure data to support advanced analytics and AI‑enabled use cases by ensuring data quality, consistency, and documentation.Apply established data governance, security, and engineering standards to ensure compliant, maintainable, and scalable solutions.Participate in code reviews, technical discussions, and platform improvement initiatives as an active contributor.Proactively identify data quality issues, pipeline risks, and improvement opportunities, and communicate them clearly in a fast‑paced environment.DutiesDevelop and maintain PySpark notebooks and jobs to ingest, transform, and curate data within the enterprise data platform.Build and modify Azure Data Factory pipelines for batch and incremental data ingestion.Implement Spark‑based transformations that write curated datasets to Azure Data Lake Storage Gen2 using established folder structures and naming conventions.Create and maintain SQL views and tables in Azure Synapse to support analytics and reporting use cases.Respond to pipeline failures, data validation issues, and operational alerts.Perform basic performance tuning of Spark jobs (e.g., partitioning, filtering, incremental logic) within established architectural patterns and standards.Validate data outputs with business partners and address data defects or discrepancies.Commit code using Git, follow branching standards, and participate in pull request reviews.Update documentation for pipelines, datasets, and operational runbooks as changes are made.Execute assigned backlog items within sprint timelines and raise risks or blockers early.Additional duties as assigned by managementJob RequirementsEducation & ExperienceBachelor’s degree in Engineering, Computer Science, Data Analytics, or a related field, or equivalent experience.Minimum of 3–5 years of experience in data engineering or analytics engineering.Proficiency in Python for building and maintaining data pipelines, automation, and data processing workflows, including use of PySpark.Proficiency in SQL for querying, transformation, and analytical data processing.Solid understanding of ETL/ELT pipelines, data transformation patterns, and data integration concepts.Experience analyzing enterprise data sources to identify data relationships, transformations, and business rules.Experience building solutions on the Microsoft Azure platform with exposure to services such as Azure Data Factory, Azure Synapse, Azure Data Lake Storage Gen2, and related analytics services.Experience working with source control and CI/CD workflows using tools such as GitHub or Azure DevOps.Working knowledge of data modeling fundamentals, including fact and dimension tables.Strong communication and interpersonal skills with the ability to collaborate across teams in a fast‑paced environment.Experience working in Agile development environments.Experience using collaboration and project tracking tools such as Jira or similar tools.Travel required is expected to be up to 10% but may increase over time as the business evolves.Desired QualificationsExperience working with distributed data processing frameworks, including Apache Spark.Exposure to advanced analytics or AI‑adjacent data use cases, including preparing data for machine learning or intelligent applications.Familiarity with additional Azure services such as Azure Functions or Logic Apps in support of data workflows.Experience supporting data platform enhancement, refactoring, or modernization initiatives.Familiarity with data quality, reliability, and operational best practices in production environments.Experience working in a scaling or fast‑paced organization where priorities evolve quickly.Want to find out more about the Technology and Systems Department?The Technology & Systems department drives technological innovation for the company and advances the technology strategy to support global growth. This includes IT, Software Development, OT / Automation Systems, and business process improvement. At Vantage, we are very hands on. In most cases, we specify, purchase, configure and maintain all networking and server hardware. We also work closely with partner VARs to learn about the latest technology changes so we can make informed purchase decisions. The Technology & Systems department participates in designing each of our new data center building’s networking infrastructure, including but not limited to diverse pathways connecting to carriers, meet-me room (MMR) hosting (rack, cabs, ladders, cross connect panels…), wireless AP coverage, etc.We rely on extreme collaboration with Sales, Construction, Operations and Corporate Functions to drive simplification, establish global standards with continuous improvement and speed to value. We are working to build a reliable, scalable, sustainable, and secure technology roadmap/landscape that enables us to better serve our customers and employees and be the partner of choice. Our focus is on speed to value with financial and execution discipline. We strive to double the good, halve the bad, in half the time.#LI-FW1 #LI-HybridWe operate with No Ego and No Arrogance. We work to build each other up and support one another, appreciating each other’s strengths and respecting each other’s weaknesses. We find joy in our work and each other, actively seeking opportunities to inject fun into what we do. Our hard and efficient work is rewarded with an above market total compensation package. We offer a comprehensive suite of health and welfare, retirement, and paid leave benefits exceeding local expectations.Throughout the year, the advantage of being part of the Vantage team is evident with an array of benefits, recognition, training and development, and the knowledge that your contribution adds value to the company and our community.Don't meet all the requirements? Please still apply if you think you are the right person for the position. We are always keen to speak to people who connect with our mission and values.Vantage Data Centers is an Equal Opportunity EmployerVantage Data Centers does not accept unsolicited resumes from search firm agencies. Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired; such resumes will be deemed the sole property of Vantage Data Centers.SummaryLocation: London, EnglandType: Full time