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A leading AI recruitment platform is seeking a Senior Software Engineer to join their pioneering team in London. This role involves designing and maintaining core systems and APIs using Python, ensuring high quality and performance. The ideal candidate will have strong expertise in Python, experience with production-grade backend systems, and a solid understanding of databases. This position offers the chance to contribute to innovative AI tools reshaping the creative industries, backed by top-tier venture capital.

At Citi, we are pioneering the future of enterprise operations through innovative technology. Our COO-Technology Engineering and Architecture capability is at the forefront, responsible for architecting best-in class solutions, driving end to end transformation, and integrating cutting edge Generative AI solutions to unlock unparalleled efficiency, automation, and risk reduction across our global operations. The Team: Innovating at Scale Our team is a dynamic hub of engineers and innovators dedicated to solving complex business challenges with intelligent solutions. We believe in building robust, scalable products that deliver tangible impact. We foster an environment of continuous learning, rapid iteration, and strong engineering practices. Here, you'll work alongside passionate experts, leverage the latest in AI, and contribute to a culture that values clean code, thoughtful design, and direct, hands on problem solving. We're not just adopting AI; we're building the intelligence that powers our enterprise. The Role: We are seeking an exceptionalStaff Generative AI Engineerto join our team. This is a critical,deeply hands onrole for a seasoned software engineer with a profound passion for Generative AI, Large Language Models (LLMs), and agentic frameworks. You will be instrumental in designing, building, and deployingreal world, commercial production systems, not just proofs of concept. This is an Individual Contributor (IC) role with no direct people management responsibilities. Your expertise in containers (especially OpenShift), strong Python programming, and advanced LLM/agentic frameworks will be essential as you drive significant operational efficiencies and set new standards for engineering excellence. If you're a builder who thrives on technical challenge, delivering measurable impact, and mentoring others while getting your hands dirty with code, we want to hear from you. As a Staff Generative AI Engineer, you will: Architect & Build Production Systems:Lead the hands on development of sophisticated Generative AI applications, LLM powered solutions, and intricate agentic frameworks primarily usingPython. Your code will be clean, performant, scalable, and deployed directly into commercial production environments, solving real business problems. Pioneer Automation with Agents:Design and implement intelligent agents capable of understanding, reasoning, and orchestrating complex workflows to automate critical enterprise business processes, driving efficiency and reducing operational risk at scale. Master Containerized Deployments:Demonstrate deep comfort and expertise with container technologies, particularly deploying and managing applications withinOpenShiftenvironments. Drive Technical Direction & Ownership:Contribute significantly to the technical strategy and roadmap for Generative AI adoption, influencing architectural decisions and technology choices across our product portfolio, ensuring all solutions are production ready. Champion Engineering Excellence:Instill and uphold rigorous software engineering best practices, including robust testing, code reviews, documentation, and continuous integration/delivery, ensuring the highest quality for our mission critical systems running in production. Innovate & Research:Stay at the bleeding edge of Generative AI, actively exploring new models, techniques, and frameworks. Contribute to both applied engineering and research initiatives within the domain. You will have access to state of the art AI assisted development tools likeDevin and Copilotto amplify your productivity and creativity. Mentor & Collaborate:Act as a technical leader and mentor to junior engineers, fostering a culture of knowledge sharing and continuous improvement. Collaborate closely with cross functional teams, product managers, and stakeholders to deliver impactful solutions. Iterate & Deliver:Thrive in an agile, fast paced environment, prioritizing rapid delivery, iterative development, and adaptability. Focus on delivering measurable business value and learning quickly from prototypes and deployments, always with a path to production in mind. Ensure Responsible AI:Design and implement robust guardrails and ethical considerations into AI solutions, proactively assessing and mitigating risks in line with organizational and regulatory standards. Minimum Qualifications: Proven professional software engineering experience, demonstrating a strong track record of designing, building, and delivering scalable enterprise grade solutionsin commercial production environments, not just proofs of concept. Expert level proficiency in Python is a must have, with a deep understanding of its ecosystem for AI/ML development, data engineering, and backend services. Full stack development experience is a distinct advantage. Extensive hands on experience withGenerative AI concepts, Large Language Models (LLMs), transformer architectures, RAG, and advanced agentic frameworks (e.g., LangChain, LangGraph, Google ADK. Optionally AutoGen, CrewAI, LlamaIndex, Semantic Kernel). Deep comfort and practical experience withcontainers and orchestration technologies, specifically OpenShift. Demonstrated ability to architect, develop, and deploy highly performant, large scale AI/ML systems into production environments. Strong understanding of modern software development principles, clean code practices, data structures, algorithms, and distributed systems. Proficiency with Relational (preferably, PostgreSQL) and Vector (preferably, pgvector) databases. Preferred Qualifications (Bonus Points): Proficiency in additional programming languages such as Java, JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ. Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications. Practical experience in model risk management, developing AI guardrails, and establishing end user adoption pathways for Generative AI solutions. A proven track record of contributing to open source projects or publishing relevant research in AI/ML. Why You'll Love Working Here: Unprecedented Impact & Visibility:Contribute to critical, high visibility projects that are transforming a global enterprise, working on firm wide initiatives that directly influence our operational future. Cutting Edge Technology:Work with the latest Generative AI models, agentic frameworks, and cloud native technologies, enhanced by access to AI assisted development tools like Devin and Copilot. Growth & Development:A culture of continuous learning, mentorship, and opportunities to lead and innovate. Benefit from extensive learning resources includingUdemy for Business and Pluralsight. Collaborative Environment:Join a highly skilled, passionate team that values collaboration, intellectual curiosity, and shared success. Flexible Work Environment:Embrace a hybrid working model, balancing productive in office collaboration (3 days) with the flexibility of working from home (up to 2 days). Global Scale:Build solutions that operate at a massive scale, impacting users and operations worldwide. Join us to build the future of intelligent enterprise solutions! Job Family Group: Technology Job Family: Systems & Engineering Time Type: Full time Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. View Citi's EEO Policy Statement and the Know Your Rights poster.

A growing fintech company in London seeks a Senior Software Engineer to build scalable financial infrastructure. Responsible for designing robust backend systems and mentoring engineers, the ideal candidate should have over six years of experience with Java, Python, or Go. This high-impact role offers significant ownership of critical projects and involves collaboration with a veteran leadership team in a fast-paced environment.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title Senior Software Engineer Company Description VC-backed creative AI platform Job Description Join a pioneering team building assistive AI tools that empower filmmakers to transform storytelling. This senior backend leaning role involves designing and shipping high impact features, contributing to architectural decisions, and collaborating cross functionally to build scalable systems that redefine creative possibilities in entertainment. Location London, UK Why this role is remarkable Shape the future of creative industries by developing cutting edge AI tools that enhance artistic expression and production efficiency. Work with a well funded platform backed by top tier VCs, poised for significant growth and market leadership. Contribute to setting ethical AI standards in entertainment, ensuring innovation respects creative ownership and artist rights. What you will do Design, build, and maintain core systems and APIs using Python, ensuring quality, scalability, and performance. Own end to end development across the stack, from architecture and data modeling to deployment and monitoring. Collaborate closely with product managers, designers, and other engineers to translate requirements into robust, user delighting features. The ideal candidate Strong expertise in Python or another high level object oriented language with a modern web framework (e.g., FastAPI, Django, Flask). Proven experience designing and shipping production grade backend systems and APIs. Solid understanding of databases, data modeling, and query optimization (SQL and/or NoSQL). Who are Jack & Jill Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click "Talk to Jack". Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Salary for this Role: SLRS: From £45,700 per annum with benefits, subject to skills and experiencePLRS: From £55,555 per annum with benefits, subject to skills and experience Job Title: Senior/Principal Laboratory Research Scientist Reports to: Albane Imbert Closing Date: 13/Mar/.59 GMT Job Description: Senior/Principal Laboratory Research Scientist - Making Lab Science Technology Platform Reporting to: Head of Making Lab STP Contract term: This is a full-time permanent position on Crick terms and conditions of employment. Salary for this Role: Senior Laboratory Research Scientist: From £45,700 with benefits, subject to skills and experience Principal Laboratory Research Scientist: From £55,555 with benefits, subject to skills and experienceThe Francis Crick Institute is Europe's largest biomedical research institute under one roof. Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.The Crick is a place for collaboration, innovation and exploration across many disciplines. A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions. We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture. We've removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher. This gives us the freedom to take risks and carry out high-quality, pioneering research. Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy. About the Making Lab The Making Lab is a Science Technology Platform (STP) operating at the interface of engineering and biology. We accelerate biomedical discovery by designing and delivering advanced engineering solutions to complex scientific challenges.We collaborate across Neuroscience, Structural Biology, Cancer, Immunology and Bioengineering. Our expertise lies in Systems Engineering and Microfluidics & Tissue Engineering. We build robotics, automation platforms, sensing systems and integrated hardware-software tools that power cutting-edge research.As part of the global Making in Research movement, we champion open hardware, rapid prototyping and reproducible system design to drive innovation in science. About the role We are seeking an experienced engineer to join the Making Lab team at Senior (SLRS) or Principal (PLRS) level.This is a hands-on technically demanding role focused on leading the development of robotics, automation and integrated hardware-software systems for biomedical research. You will take ownership of the full project lifecycle, from initial technical scoping and system architecture through electronic hardware integration, embedded and software development, testing, validation and final deployment.Projects span bespoke instrumentation and complex real-time experimental platforms, delivered in close collaboration with neurophysiology groups and teams developing advanced automated lab systems.You will operate within state-of-the-art facilities, including dedicated electronics and integration spaces alongside a workshop for digital and conventional manufacturing (CNC, laser machining, additive manufacturing). At Principal level, you will also contribute to management and long-term technical strategy, infrastructure development and platform planning for the Systems Engineering activity. For more details on the type of projects developed at the lab: What you will be doing You will be responsible for: Leading end-to-end development of bespoke hardware-software systems. Designing and integrating control systems, robotics platforms and data acquisition interfaces. Developing microcontroller-based systems, PCBs and sensor integrations. Applying structured systems engineering methods. Using version control, testing frameworks and clear documentation standards. Providing expert input on experimental design, feasibility and system architecture. Mentoring engineers and deliver hands-on technical training to researchers. Contributing to publications and disseminating technical resources. At principal level, contributing to platform strategy, infrastructure planning and capital investment. About you You will have:(Minimum criteria for SLRS & PLRS )(Minimum criteria for PLRS ) Essential: Degree, PhD or equivalent experience in Engineering, Robotics, Electronics, Mechatronics or related field. Significant hands-on experience in system design and hardware-software integration. Strong programming skills in Python and C within Linux environments. Experience developing control systems, automation platforms or experimental instrumentation. Expertise in microcontrollers, PCB design and sensor integration. Strong understanding of testing, reproducibility and structured engineering workflows. Comfortable leading multidisciplinary technical projects. Skilled communicator with the ability to convey technical concepts clearly to diverse scientific audiences. Desirable: Experience at the engineering-biology interface. Knowledge of signal processing, imaging systems or biomedical instrumentation. Experience with digital fabrication, including CNC machining, 3D printing or laser cutting. About Working at the Crick Our values Everyone who works at the Crick has a valuable role to play in advancing the Crick's mission and shaping our culture! We are bold . We make space for creative, dynamic and imaginative ideas and approaches. We're not afraid to do things differently. We are open . We're highly collaborative and interactive, and make sure our activities are visible to the outside world. We are collegial . We show respect for one another, work cooperatively and support the wider community.At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery. We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances. We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences. We are a Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply. If you need assistance with applying (i.e., would like to apply by phone or post)please email: the Francis Crick Institute, we value our team members and are proud to offer an extensive range of benefits to support their well-being and development: Visas: Applicants for this role will be eligible for sponsorship to work in the UK Generous Leave : 28 days of annual leave, plus three additional days over Christmas and bank holidays. Pension Scheme : Defined contribution pension with employer contributions of up to 16%. Health & Well-being : 24/7 GP consultation services. Occupational health services and mental health support programs. Eye care vouchers and discounted healthcare plans. Work-Life Balance : Back-up care for dependents. Childcare support allowance. Annual leave purchase options. Crick Networks offering diverse groups' support, community and inclusive social events. Perks : Discounted gym memberships, bike-to-work scheme, and shopping discounts. Subsidised on-site restaurant and social spaces for team interaction. Career support: A Post-doc to PI programme

Overview Job Title: Senior Software Engineer Salary: £85,000 - £115,000 + Equity Company Description: Fast-growing London fintech Location: London, UK Job Description Join a high-performance engineering team as a founding-level hire building high-throughput financial infrastructure. You will architect scalable systems for real-time data streaming and trade execution, working directly with a veteran leadership team. This role offers significant technical ownership as you scale critical backend services to support a rapidly expanding user base in the UK market. Why this role is remarkable Significant technical ownership over architecture and greenfield infrastructure projects for a high-volume platform. Backed by top-tier VCs and a record-breaking community funding round, ensuring strong market validation. Direct collaboration with an experienced founding team consisting of former tier-one banking and successful fintech scale-up leaders. Responsibilities Design and maintain robust, scalable systems for critical financial services using a modern, multi-language stack. Build high-performance connectivity and event-driven architectures to handle thousands of concurrent traders and real-time data. Mentor other engineers and foster a high-standard engineering culture through pragmatic software development and feedback. The ideal candidate At least six years of commercial experience building and maintaining high-volume, critical backend systems. Strong proficiency in languages such as Java, Python, or Go, with deep knowledge of distributed systems. Proven ability to work in a fast-paced startup environment and a commitment to on-call support for production reliability. About Jack & Jill Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free.

Overview Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen. Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. The Team 90 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first-principles thinking, tight feedback loops and relentless experimentation Work Alongside Industry Leaders Diego Protas - Director of Engineering Diego, an expert in distributed systems and hardware architecture, merging physical computing with enterprise-scale infrastructure. Previously directing teams of 170+ engineers at Mercado Libre and orchestrating large-scale ML-based inference at Meta. At Relay, Diego's infectious enthusiasm and hands-on leadership are redefining the boundaries of speed and reliability. Tech Stack Highlights Python, Rust and TypeScript - we keep things simple but use the right tool for the job Cross-platform Flutter apps with a deep focus on user experience Cloud-native on GCP with extensive use of BigQuery and Cloud Run Extensive use of ML modelling and LLM inference - no gimmicks here, this is our daily routine Emerging tech integrations, including robotics and IoT-powered operations The Opportunity As a Software Engineer at Relay, you'll: Own challenging, impactful problems end-to-end, from routing algorithms to real-time optimisation services and intuitive operational tools. Collaborate closely with top engineers, data scientists, and product leaders in a highly autonomous and impact-driven environment. Regularly ship production-quality code weekly-and often daily-seeing your work directly impact Relay's growth. Create incredible product experiences powering the fastest-growing e-commerce platforms, including Vinted, TikTok, and Temu, impacting millions of users worldwide. Fast and Focused Hiring Process Talent Acquisition Interview - 30 min API Integration Interview - 1 hour Technical Interview - 2 hours Operating Principles & Impact - 1 hour Decision and offer within 48 hours; our process mirrors our pace of work, typically completed in a week. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave Located in Shoreditch, our office set-up enables the kind of in-person interactions that drive impact. We work 4 days on-site, with 1 day remote. Hardware of your choice Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win-win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal-opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

About OLIX AI is growing faster than any technology in history and the explosion in demand has created a massive infrastructure gap; we can no longer build chips or power stations fast enough to keep up. The industry is still leaning on a ten-year-old hardware blueprint that has reached its limit. A new paradigm that is faster and more efficient will be the biggest economic opportunity of the next century and create the most important company of the next decade. OLIX is building this next paradigm; the Optical Tensor Processing Unit (OTPU) achieves performance and energy efficiency that is impossible to match from existing chips. The Role: We are seeking a highly experienced Staff FPGA Engineer to lead the architecture, design, and technical direction of FPGA-based systems within our OTPU platform. This is a senior individual contributor role focused on system-level ownership, cross-functional technical leadership, and architectural decision-making. You will define high-performance FPGA subsystems spanning high-speed interfaces, precision timing and synchronisation, transceivers, and signal processing pipelines. You will work closely with ASIC, hardware, optical, and software teams to drive coherent system design, de-risk silicon development, and deliver production-grade solutions. Responsibilities Define and own FPGA architecture for high-performance, high-bandwidth systems. Lead design and optimisation of high-speed interface subsystems (PCIe Gen4, multi-lane transceivers operating at >25 Gb/s NRZ). Architect deterministic timing and synchronisation strategies across complex multi-device systems. Drive FPGA-based prototyping efforts to support silicon development and system validation. Establish design methodologies, coding standards, and verification strategies. Guide implementation of robust error detection and correction mechanisms (ECC, including SECDED). Partner with software teams to define hardware-software interfaces and system control models. Lead system-level debugging of complex hardware-software interactions. Mentor engineers and provide technical leadership across FPGA development efforts. Identify performance bottlenecks and drive architectural improvements. Maintain deep awareness of advancements in FPGA architectures and high-speed digital design. Skills & Experience 8+ years of FPGA design experience, including significant experience in high-speed digital systems. Proven experience architecting PCIe and high-speed transceiver-based systems. Deep expertise in precision timing, deterministic networking, and synchronisation architectures (experience with White Rabbit strongly valued). Strong background in signal processing pipelines implemented in FPGA. Experience supporting ASIC prototyping or silicon validation via FPGA platforms. Advanced verification experience (COCOTB, UVVM, OSVVM, or equivalent methodologies). Expert-level proficiency in Verilog and/or VHDL. Strong Python and scripting skills for tooling and automation. Experience with Xilinx/AMD UltraScale+ or Versal architectures. Demonstrated ability to lead technical direction without formal management authority. Strong system-level debugging and performance optimisation experience. Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, or related field. What We're Looking For A systems thinker who operates comfortably at architectural altitude. A technical leader who raises the bar across design quality, performance, and reliability. Someone who thrives in ambiguity and drives clarity across multidisciplinary teams. A hands on expert who can move between architecture and implementation when needed. Compensation & Equity Competitive salary, commensurate with your experience, skills, and location. Equity & Ownership: Meaningful stock options. You're not just joining the mission; you're owning a piece of it. Proximity Bonus: We value your time. To minimise your commute and maximise your life, we offer a £24k annual Living-Local Bonus if your residence is within 20 minutes of the office. Health & Wellbeing Premium Healthcare: Comprehensive BUPA medical and dental cover, including Medical History Disregarded (MHD), for complete peace of mind. Time Off: 25 days of annual leave, plus all UK bank holidays. The Workspace & Tech Optimal Environment: High-spec noise-cancelling headphones and a fully ergonomic workstation designed for deep focus. Rapid Prototyping: Access to our high-performance 3D printing lab for work, experimentation, and personal creative projects. Life at the Office Chef-prepared meals: if you need to work late. Caffeine on Us: We've got you covered with a tab at our favourite local coffee shop. Relocation & Global Mobility Visa Sponsorship: We hire the best in the world. We offer full UK and international visa sponsorship. Seamless Relocation: Whether you're moving across the country or across the globe, our dedicated relocation partner provides funding and concierge support to get you settled. Due to U.S. export control regulations, candidates' eligibility to work at Flux depends on their most recent citizenship or permanent residency status. We are generally unable to consider applicants whose most recent citizenship or permanent residence is in certain restricted countries (currently including Iran, North Korea, Syria, Cuba, Russia, Belarus, China, Hong Kong, Macau, and Venezuela). Applicants who have subsequently obtained citizenship or permanent residency in another country not subject to these restrictions may still be eligible.

Salary:£40k - £80k Methods Analytics (MA) is recruiting for a Data Engineer to join our team permanent basis. This role will be mainly remote but require flexibility to travel to client sites, and our offices based in London, Sheffield, and Bristol. What You'll Be Doing as a Data Engineer: Lead technical aspects of data engineering projects, providing direction and mentorship to junior and mid-level engineers Design and architect modern data solutions that align with business objectives and technical requirements Design and implement advanced ETL/ELT pipelines Build highly scalable and performant data solutions leveraging cloud platforms and open-source software Develop data models to handle enterprise-level analytical needs Make critical technical decisions on tools, frameworks, and approaches for complex data challenges Optimise large-scale data processing systems for performance and cost-efficiency Implement robust data quality frameworks and monitoring solutions Evaluate new technologies to enhance our data engineering capabilities Collaborate with stakeholders to translate business requirements into technical specifications Present technical solutions to leadership and non-technical stakeholders Contribute to the development of the Methods Analytics Engineering Practice by participating in our internal community of practice Your Impact: Enable business leaders to make informed decisions with confidence through timely, accurate data insights Drive adoption of modern data architectures and platforms Deliver seamless data solutions that enhance user experience Elevate the technical capabilities of the entire data engineering team Help cultivate a data-driven culture within the organisation Establish technical standards and patterns that ensure quality and maintainability You Will Demonstrate: Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Experience mentoring junior engineers and providing technical guidance Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques for large-scale data processing Strong proficiency in SQL and Python for handling complex data problems Hands on experience with Apache Spark (PySpark or Spark SQL) Experience with the Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Experience implementing and advocating for test driven development methodologies in data pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Strong communication skills for translating complex technical concepts Track record of successful project delivery in a technical leadership capacity You may also have some of the desirable skills and experience: Experience designing and implementing data mesh or data fabric architectures Knowledge of cost optimisation strategies for cloud data platforms Experience with data quality frameworks and implementation Understanding of data lineage and metadata management Experience with technical project management Experience with data visualisation tools like Power BI or Apache Superset Experience with other cloud data platforms like AWS, GCP or Oracle Experience with modern unified data platforms like Databricks or Microsoft Fabric Experience with Kubernetes for container orchestration Understanding of streaming technologies (Apache Kafka, event-based architectures) Software engineering background with SOLID principles understanding Experience with high-performance, large-scale data systems Knowledge of recent innovations in AI/ML and GenAI Defence/Public Sector consultant experience Security Clearance: UKSV (United Kingdom Security Vetting) clearance is required for this role, with Security Check (SC) as the minimum standard, either already held or with a willingness to undergo the process. Some roles/projects may require Developed Vetting (DV) clearance; while not mandatory, a willingness to obtain DV clearance would be beneficial. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard (BPSS); details of the evidence required to apply may be found on the government website GOV.UK - Government baseline personnel security standard. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview. Our Hiring Process At Methods Analytics, we believe in a transparent hiring process. Here's what you can expect: Internal Application Review Initial Phone Screen Technical Interview Pair Programming Exercise Final Interview Offer Working at MA Methods Analytics (MA) exists to improve society by helping people make better decisions with data. Combining passionate people, sector specific insight, and technical excellence to provide our customers an end to end data service. We use a collaborative, creative and user centric approach to data to do good and solve difficult problems. Ensuring that our outputs are transparent, robust, and transformative. We value discussion and debate as part of our approach. We will question assumptions, ambition, and process - but do so with respect and humility. We relish difficult problems, and overcome them with innovation, creativity, and technical freedom to help us design optimum solutions. Ethics, privacy, and quality are at the heart of our work, and we will not sacrifice these for outcomes. We treat data with respect and use it only for the right purpose. Our people are positive, dedicated, and relentless. Data is a vast topic, but we strive for interactions that are engaging, informative and fun in equal measure. But maintain a steely focus on outcomes and delivering quality products for our customers. We are passionate about our people; we want our colleagues to develop the things they are good at and enjoy. By joining us you can expect Autonomy to develop and grow your skills and experience Be part of exciting project work that is making a difference in society Strong, inspiring, and thought provoking leadership A supportive and collaborative environment As well as this, we offer: Annual two day technical hackathon bringing together all technical teams for innovation and collaboration Monthly Engineering & Architecture Community of Practice event Bi annual whole company teambuilding events bringing everyone together for a day of fun and connection Development access to Pluralsight and LinkedIn Learning Volunteering - 2 paid days per year to volunteer in our local communities or within a charity organization Private Medical Insurance which is non contributory (spouse and dependants included) Worldwide Travel Insurance which is non contributory (spouse and dependants included) Life Assurance of 4 times base salary Time off - 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year Pension Salary Exchange Scheme with 4% employer contribution and 5% employee contribution Wellness 24/7 Confidential employee assistance programme Social - office parties, pizza Friday and commitment to charitable causes

The Opportunity This is your chance to build the foundational systems for 'Citi Assist', a Generative AI assistant that will reach every Citi employee globally. You'll join us on the ground floor, becoming a core builder on a high-visibility platform that sets the standard for how a global bank adopts this technology safely and at scale. Here's what makes this role unique: we know that data is the key to building a successful, safe, and scalable generative AI assistant. The difference between a good AI product and a great one isn't just the model-it's the testing, evaluation, and feedback loops that make it better every day. As a data-focused full-stack engineer, you'll help us craft the tools and systems that let us understand how Assist is performing, where it's succeeding, and where it needs to improve. You'll work across the stack, building everything from intuitive dashboards that surface insights to robust backend pipelines that process evaluation data at scale. What You'll Do Build the tools that make Assist great. You'll design and build the testing, evaluation, and feedback systems that help us understand how our AI assistant is performing in the real world. This means creating tools for both our team and our users to provide feedback, analyse interactions, and measure quality. Work with data across the full stack. You'll build data pipelines that collect and process evaluation metrics, create visualisations that surface insights to the team, and design APIs that power our testing infrastructure. You'll be equally comfortable writing SQL queries as you are building React components. Own your features end to end. You'll take responsibility from conception to production. That means understanding the problem we're trying to solve, designing the right solution, building it, and measuring whether it's working. You'll drive your work forward with autonomy while keeping the team aligned. Build with safety and quality in mind. For us, building safe, sound, and compliant systems is non negotiable. You'll help us establish the data practices and evaluation frameworks that ensure Assist meets our high standards for quality, safety, and regulatory compliance. Set the technical direction. As a VP level engineer, we expect you to influence how we approach problems. You'll mentor other engineers, contribute to architectural decisions, and help establish best practices for how we work with data across the platform. Be a great teammate. We expect you to be a leader in our engineering culture. That means offering thoughtful code reviews, unblocking your peers, sharing what you learn, and helping raise the bar for the whole team. We succeed together. What We're Looking For We know that people from underrepresented groups are less likely to apply if they don't meet 100% of the criteria. If you're excited about this role but your experience doesn't align perfectly with every qualification, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Strong experience building and deploying production applications across the full stack Proficiency in multiple languages, including Python and TypeScript/JavaScript (experience with Go or Java is a plus) Deep experience working with data-whether that's building data pipelines, designing analytics systems, or creating data driven products Experience building user facing features with modern frontend frameworks like React, Vue, or Angular Strong SQL skills and experience with relational databases like Postgres Experience building backend services and APIs that handle data at scale Comfort with containerised environments and cloud infrastructure (we use OpenShift/Kubernetes) Strong understanding of CI/CD pipelines, testing frameworks, and automation Experience with data visualisation tools and techniques What Matters Most to Us A data driven mindset. You believe that good data and rigorous evaluation are essential to building great products. You know how to instrument systems to collect the right data and how to turn that data into actionable insights. A solutions first approach. You find the best path to solve the problem, whether that's building new infrastructure, leveraging existing tools, or changing how we think about the problem entirely. You're pragmatic about trade offs. Technical leadership. You have strong opinions, loosely held. You can articulate your technical vision and bring others along with you, but you're also open to being wrong and learning from your peers. A focus on impact. You understand that our goal is to deliver value to users and make Assist better every day. You know when to move fast and when to invest in building things properly. Clear communication and ownership. You take initiative, communicate proactively, and take responsibility for outcomes. You don't wait for permission, but you keep stakeholders informed. A collaborative spirit. You thrive in team environments where you can learn from others and help them grow. You see mentoring and knowledge sharing as part of your role. Bonus Points For Direct experience building evaluation or testing frameworks for AI/ML systems Experience with LLM evaluation techniques, prompt engineering, or AI safety concepts Experience with data pipeline tools like Apache Airflow, Dagster, or similar Experience with analytics platforms, experimentation frameworks, or A/B testing infrastructure Background in data science, analytics engineering, or similar data focused roles' Contributions to open source projects in the data or AI space Experience working in highly regulated environments Our Tech Stack We work with Python, TypeScript, Go, and Java on the backend. Our frontend is built with TypeScript, React, and Next.js. We use Postgres for our database, run everything on Kubernetes (specifically Red Hat OpenShift), and our DevOps setup includes GitHub and CI/CD tools like Tekton and Harness. Our Team and Mission We're the Common Platform Engineering team for GenAI, a central group in the Chief Technology Office. We're a focused agile team that owns our work from idea to production. Our culture is built on a shared belief in engineering craftsmanship, backed by leadership that actually understands what that means. We're on a journey to prove what's possible inside a large organisation, and that means navigating some legacy while building the future. This isn't a role for someone who wants everything to be perfect on day one. It's for an engineer who wants to help us get there, influencing how we solve problems and raising our collective bar. We have a dual mission. First, we're building 'Citi Assist', the GenAI digital assistant for our colleagues. Second, we're providing the platforms and guidance that enable the entire organisation to adopt GenAI safely and effectively. This is not a typical banking job. You'll build foundational technology that has a direct, positive impact on hundreds of thousands of people. You'll have the executive support to tackle big problems and real autonomy to shape our solutions. Most importantly, you'll join a passionate, collaborative team where we all learn from each other and push each other to do our best work. What We'll Provide You This is a unique role that will put you in the position to be part of a new venture and actively drive change. Every day there will be new challenges that will help you develop new skills that can drive your career. By joining Citi London, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Visit ourGlobal Benefitspage to learn more. Alongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self, every day. We want the best talent around the world to be energized to join us, motivated to stay and empowered to thrive. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Locations: London Lisbon Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do BCG Risk has been on a Generative AI journey to transform internal operations powered through cutting edge Generative AI technologies are core to this journey. Thus, we are looking for Generative AI engineers who are passionate about designing, developing, deploying and optimizing Gen AI products at scale. This role will be hosted in Risk and Compliance digital products team to support building key prioritized Generative AI solutions. KEY RESPONSIBILITIES You will work as a squad member with strong hands on Gen AI expertise and will guide the product owners, digital leaders in conceptualizing new Gen AI products or embedding Gen AI as part of existing products in most optimum manner. You will be an hands on contributor to develop the Gen AI products along with broader squad members as well as managing other Gen AI/LLM engineers or data scientists developing Gen AI applications. Along with core Generative AI expertise, you will bring expertise in full backend development in technologies like python, typescript including REST, GraphQL etc. APIs development, core functional logic, performance, and stability of custom-built products. Conceptualize Generative AI custom products at BCG internally & operate as a technical thought partner for digital leaders and product owners. Combine data science & engineering expertise in building Generative AI products. Develop Gen AI products to develop scalable high performance enterprise products along with broader squad. Manage a team to deliver Gen AI products. Share expertise and recommendations on alternate approaches & tools to improve product. Collaborate closely with data engineers, data scientists, software engineers, QA, product owners and analysts develop seamless end to end integrated products. Build strong relationships with business stakeholders, ensuring alignment on project goals and successful integration of products into business processes. Oversee & mentor other LLM/AI engineers, data scientists in the project on Gen AI expertise. Share Gen AI knowledge & expertise across with broader digital teams squads, chapters, CoEs. Regularly ramp up on latest LLMs, technologies, frameworks & platforms in the Gen AI space. What You'll Bring Overall 9+ years of experience in engineering, machine learning & LLMs. 6+ years of hands on experience in building & deploying AI/ML/Gen AI solutions in large business critical applications. 2+ years of experience in developing Gen AI products using variety of LLMs & frameworks. 1+ years of experience leading a team. Advanced proficiency in Python for data science, engineering & LLMs. Highly curious technically to evaluate & test new technologies in Gen AI space. Proven ability to work with large structured & unstructured datasets and deploy AI/ML/Gen AI solutions through automated pipelines. Experience with leveraging, training and fine tuning Foundation Models including multimodal inputs and outputs. Strong experience working with key LLM models APIs (e.g. OpenAI, Anthropic) and LLM Frameworks (e.g. LangChain, LlamaIndex). Proficiency in generating and working with embeddings across variety of data formats. Understanding of embedding spaces and their applications in semantic search and information retrieval. Knowledge of effective text chunking techniques for optimal processing and indexing of large documents or datasets. Expertise with RAG concepts and fundamentals (vectorDBs, semanticsearch, re rankers etc.), Expertise in implementing RAG systems that combine knowledge bases. Experience with multi agent frameworks/systems and an understanding of multi agent systems and their applications in complex problem solving scenarios. Experience in working with variety of data bases (SQL, no SQL), APIs & microservices development. Experience with LLMOps tools (e.g. Langsmith) to implement guardrails, track accuracy, hallucinations, bias and other metrics in Gen AI products. Experience in constructing and querying knowledge graphs including graph based reasoning. Experience in front end development technologies (e.g. REACT) would be good to have. Excellent communication skills, with the ability to explain complex technical concepts to various audiences. Proven ability to operate with a transparent mindset, communicating openly with stakeholders at various levels of the organization. Who You'll Work With As a pivotal member of the team, you will interact extensively with a diverse range of stakeholders from across the functions both geographically and functionally. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E-Verify Employer. Click here for more information on E-Verify.