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Transaction Banking - Software Engineering - Analyst / Associate - London location_on London, Greater London, England, United Kingdom WHO WE ARE At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here. Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We combine the strength and heritage of a 148-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Using modern technologies centred on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency. Payments lay at the heart of what we are doing in Corporate Cash Management and our mission is to build a market leading payment platform that meets our corporate client's needs. We are starting with a clean slate and one singular goal in mind: Build a highly scalable, resilient, 24x7 available cloud-based payment platform that our corporate clients can run rely on to run and grow their businesses. HOW YOU WILL FULFILL YOUR POTENTIAL As part of our global team, you will work on various technologies and components as an application developer. Your role includes specification, development, as well as the testing and roll out of new features focusing on code quality, automation, testability and security. Payment systems, due to their criticality present unique engineering challenges around resiliency, availability and scale. You will have the opportunity to contribute to the vision, understand our product roadmap and contribute to building an engineering culture within our global team. We expect the successful candidate to deliver high quality software and to be passionate about software engineering. You must have a proficient understanding of software development concepts. A good understanding of the Cloud and Container concepts is a plus. You will also be responsible to develop supportable software and liaise with our SRE (Site Reliability Engineering) team to factor in their requirements. Our flat structure requires and enables team members to evolve through the entire spectrum of the software life cycle and closely collaborate with product owners, business and operations users. We are looking for someone with lots of energy that has excellent communication skills, enjoys engineering challenges, has a passion to deliver high quality technology products and can operate in a highly fluid, rapidly changing environment. RESPONSIBILITIES AND QUALIFICATIONS Develop full stack applications with due consideration to security, design, validation and SDLC framework Collaborate with product managers, business operations, engineers to define product requirements, objectives in building customer centric products Manage multiple tasks and use sound judgment when prioritizing Must be passionate about technology and engineering Must be independent and comfortable in a fast paced, ambiguous and often multi directional work environment Exceptional analytical skills and ability to apply knowledge and experience in decision making to arrive at creative and commercial solutions Analyse existing software implementations to identify areas of improvement and provide deadline estimates for implementing new features Establish trusted partnerships with peers, product heads, and executive level stakeholders Ability to leverage technology to deliver business value B.S. or higher in Computer Science (or equivalent work experience) Minimum 2 years of relevant professional experience using a modern programming language (preferably Java) Experience in working with databases - NoSQL and/or Relational. Proficiency in development with Java, spring boot, REST APIs Proficiency with algorithms, data structures and software design Experience leveraging test driven development methodologies Comfort with Agile operating models (practical experience of Scrum/Kanban) Team oriented, strong interpersonal and communication skills Energetic, self directed, and self motivated Preferred Qualifications Experience with development and design of distributed systems Experience with Payments systems (understanding of the various payment networks) Experience in Financial Services or Fintech Experience with microservice architectures (SOA) Experience with Kafka, MongoDB, Hadoop, Cassandra Experience with SQL databases (PostgreSQL/Oracle/Sybase) Experience with AWS services - Amazon MSK/Apache kafka, ECS/kubernetes, S3 Experience with Snowflake Experience with Terraform Comfort with Agile operating models (practical experience of Scrum / Kanban) ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law. Healthcare & Medical Insurance We offer a wide range of health and welfare programs that vary depending on office location. These generally include medical, dental, short term disability, long term disability, life, accidental death, labor accident and business travel accident insurance. Financial Wellness & Retirement We assist employees in saving and planning for retirement, offer financial support for higher education, and provide a number of benefits to help employees prepare for the unexpected. We offer live financial education and content on a variety of topics to address the spectrum of employees' priorities. Health Services We offer a medical advocacy service for employees and family members facing critical health situations, and counseling and referral services through the Employee Assistance Program (EAP). We provide Global Medical, Security and Travel Assistance and a Workplace Ergonomics Program. We also offer state of the art on site health centers in certain offices. Fitness To encourage employees to live a healthy and active lifestyle, some of our offices feature on site fitness centers. For eligible employees we typically reimburse fees paid for a fitness club membership or activity (up to a pre approved amount). Child Care & Family Care We offer on site child care centers that provide full time and emergency back up care, as well as mother and baby rooms and homework rooms. In every office, we provide advice and counseling services, expectant parent resources and transitional programs for parents returning from parental leave. Adoption, surrogacy, egg donation and egg retrieval stipends are also available. Benefits at Goldman Sachs Read more about the full suite of class leading benefits our firm has to offer.

Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. The Pathogen Mission highlights EIT's transformative approach, using Whole Genome Sequencing (WGS) and Oracle's cloud technology to create a global pathogen metagenomics system. This initiative aims to improve diagnostics, provide early epidemic warnings, and guide treatments by profiling antimicrobial resistance. The goal is to deliver certified diagnostic tools for widespread use in labs, hospitals, and public health. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. We are seeking a highly skilled and collaborative (Senior or Non Senior) Scientist with recognised expertise in developing computational methods and algorithms for genomic sequencing data analysis, particularly in the context of genome assembly. This is an exciting opportunity to develop novel computational approaches for microbial data that will become part of our diagnostic products and thus help shape the future of infectious disease diagnostics. Reporting to the Lead Scientist in Computational Genomics, you will work closely with computational scientists, bioinformaticians, software engineers, and our database and data platform teams to deliver scientifically rigorous, scalable, and clinically relevant innovation in the microbial genomics space. Key Responsibilities: Design, develop and evaluate novel computational approaches in areas such as genome assembly, binning, and functional characterisation of genomes from metagenomic sequencing Collaborate with scientists across EIT to apply the latest developments in AI/ML to real-world challenges in the pathogen space Work with bioinformaticians and software engineers to implement methods in scalable, reproducible, and modular workflows Communicate technical concepts to broad audiences and collaborate with interdisciplinary colleagues across the organization Perform rigorous benchmarking using public and internal datasets, and guide experimental validation efforts in collaboration with our wet-lab teams Essential Knowledge, Skills and Experience: PhD or equivalent experience in bioinformatics, computational biology, computer science, or a related field Senior: At least 3 years of postdoctoral or industry experience developing computational methods for next-generation sequencing data Non-Senior: Hands on experience developing computational methods for next-generation sequencing data Significant experience with methods for efficient storage, search and assembly of DNA sequences (e.g. hashing, Burrows Wheeler transform, De Bruijn graphs, embeddings and tokenization) and pan genomes Proficient in the use of command line interfaces, low and high level programming languages (e.g. Python, Rust) and modern software development techniques (version control, CI/CD) Track record of scientific output and engagement with the computational genomics community Desirable Knowledge, Skills and Experience: Experience working with microbial genomes and shotgun metagenomics data Experience working with long read sequencing data (ONT) Experience with bioinformatics workflow frameworks (e.g. Nextflow) and cloud compute environments (e.g. OCI, AWS, GCP) Familiarity with Bayesian methods, machine learning, or causal inference in the context of biological data Contributions to open source bioinformatics software Previous experience mentoring or line managing scientists (For Senior) Key Attributes: Strategic thinker with the ability to translate scientific insights into practical solutions Effective communicator and enthusiastic knowledge sharer across disciplines Rigorous and detail oriented with a commitment to reproducibility and benchmarking Comfortable in a fast paced, interdisciplinary environment and able to adapt to evolving priorities Collaborative ethos with the ability to work across teams and domains We offer the following benefits: Enhanced holiday pay Pension Life Assurance Income ProtectionPrivate Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electrical Car Scheme Why work for EIT: At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact! Terms of Appointment: You must have the right to work permanently in the UK with a willingness to travel as necessary. You will live in, or within easy commuting distance of, Oxford. During peak periods, some longer hours may be required and some working across multiple time zones due to the global nature of the programme.

Opportunity to lead a team of Data Scientists and lead on Data Science Strategy Opportunity to join an organisation which is highly adoptive of Data Science About Our Client The organisation is a well-established public sector entity with a significant focus on leveraging data to improve services and inform strategic decisions. As an organisation, they are committed to fostering innovation and maintaining high operational standards Job Description Support the Director of Risk, Data Analysis and Insight to develop the analysis programme in line with the overall Strategic Plan Lead and manage the Data Science department, ensuring the delivery of high-quality data insights. Develop and implement data science strategies to support organisational objectives. Collaborate with cross-functional teams to identify and solve complex data challenges. Oversee the design, development, and deployment of predictive models and algorithms. Ensure compliance with data governance and ethical guidelines in all analytics activities. Provide mentorship and professional development opportunities for team members. Communicate findings and actionable insights to senior leadership and key stakeholders. Select and apply the most appropriate analysis, data science and statistical techniques given the research objectives and the data Develop appropriate analytical methods in firm-based risk assessment and thematic risks Provide internal consultancy across Directorates and Programmes on analytical methods and techniques Stay informed about industry trends and emerging technologies in the public sector. The Successful Applicant A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs Excellent leadership and team management skills. A solid understanding of data governance and ethical considerations. Outstanding communication skills to present complex data in an accessible manner. A degree or equivalent qualification in data science, mathematics, or a related field. Demonstrated ability to collaborate across departments and with senior stakeholders. What's on Offer Competitive salary range of £65,000 to £77,000 (London) per annum. 25 days of annual leave, increasing to 27 after 2 years of service. Generous pension contributions (up to 19.25%). Income protection, life assurance and Private Medical benefits. 3% of annual salary available for additional benefits, including dental insurance and travel insurance. Opportunities to work on meaningful projects within the public sector in Birmingham. Take the next step in your career as a Head of Data Science and apply today to make a real impact in the public sector!

Data Science Consultant - Capital Markets Data Science Consultant role with Director progression in growing consulting firm Ideally located Central London Offices Leading on projects with Top Tier Investment banks & PE firms You'll lead project teams working with our Capital Markets clients on key business problems & data challenges. You'll be introduced to and will lead all relationships from a Data perspective within our capital markets clients, and to be successful in this role you'll build strong relationships over time. Projects will be varied but could be anything from Data Modelling to address a specific business problem, Data Science & Machine Learning associated with electronic trading, statistical analysis of different financial data sets, data transformation advisory and consulting. What we are looking for: Degree level academics in Quant topic: Maths, Stats, Science etc Track record of working on Data Science & Analysis projects ideally within Capital Markets, but open to individuals who have other aligned commercial experience You'll have a good knowledge of Python & associated libraries You'll have a good understanding of Databases & Database Management SQL, Excel & a Data Visualisation tool preferred Initially the role will probably be around 50/50 in terms of hands on to Project/Team Management, but likely to be less hands on over time.

The AI Security Institute is the world's largest and best-funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Team Security Engineering at the AI Security Institute (AISI) exists to help our researchers move fast, safely. We are founding the Security Engineering team in a largely greenfield cloud environment, we treat security as a measurable, researcher centric product. Secure by design platforms, automated governance, and intelligence led detection that protects our people, partners, models, and data. We work shoulder to shoulder with research units and core technology teams, and we optimise for enablement over gatekeeping, proportionate controls, low ego, and high ownership. What you might work on Help design and ship paved roads and secure defaults across our platform so researchers can build quickly and safely Build provenance and integrity into the software supply chain (signing, attestation, artefact verification, reproducibility) Support strengthened identity, segmentation, secrets, and key management to create a defensible foundation for evaluations at scale Develop automated, evidence driven assurance mapped to relevant standards, reducing audit toil and improving signal Create detections and response playbooks tailored to model evaluations and research workflows, and run exercises to validate them Threat model new evaluation pipelines with research and core technology teams, fixing classes of issues at the platform layer Assess third party services and hardware/software supply chains; introduce lightweight controls that raise the bar Contribute to open standards and open source, and share lessons with the broader community where appropriate If you want to build security that accelerates frontier scale AI safety research, and see your work land in production quickly, this is a good place to do it. Role Summary Own and operationalise AISI's governance, risk, and compliance (GRC) engineering practice. This role sits at the intersection of security engineering, assurance, and policy, turning paper-based requirements into actionable, testable, and automatable controls. You will lead the technical response to GovAssure and other regulatory requirements, and ensure compliance is continuous and evidence driven. You will also extend GRC disciplines to frontier AI systems, integrating model lifecycle artefacts, evaluations, and release gates into the control and evidence pipeline. Responsibilities Translate regulatory frameworks (e.g. GovAssure, CAF) into programmatic controls and technical artefacts Build and maintain a continuous control validation and evidence pipeline Develop and own a capability-based risk management approach aligned to AISI's delivery model Maintain the AISI risk register and risk acceptance/exception handling process Act as the key interface for DSIT governance, policy, and assurance stakeholders Work cross-functionally to ensure risk and compliance are embedded into AISI delivery lifecycles Extend controls and evidence to the frontier AI model Integrate AI safety evidence (e.g., model/dataset documentation, evaluations, red-team results, release gates) into automated compliance workflows Define and implement controls for model weights handling, compute governance, third-party model/API usage, and model misuse/abuse monitoring Support readiness for AI governance standards and regulations (e.g., NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894; EU AI Act exposure where relevant) Profile requirements Staff or Principal-level engineer or technical GRC specialist Experience in compliance-as-code, control validation, or regulated cloud environments Familiar with YAML, GitOps, structured artefacts, and automated policy checks Equally confident in engineering meetings and policy/gov forums Practical understanding of frontier AI system risks and artefacts (e.g., model evaluations, red-teaming, model/dataset documentation, release gating, weights handling) sufficient to translate AI policy into controls and machine checkable evidence Desirable: familiarity with MLOps tooling (e.g., experiment tracking, model registries) and integrating ML artefacts into CI/CD or evidence pipelines Translating policy into technical controls Designing controls as code or machine checkable evidence Familiarity with frameworks (GovAssure, CAF, NIST) and AI governance standards (NIST AI RMF, ISO/IEC 42001, ISO/IEC 23894) Experience building risk management workflows, including for AI specific risks (model misuse, capability escalation, data/weights security) Stakeholder engagement with governance teams and AI/ML engineering teams What We Offer Impact you couldn't have anywhere else Incredibly talented, mission-driven and supportive colleagues. Direct influence on how frontier AI is governed and deployed globally. Work with the Prime Minister's AI Advisor and leading AI companies. Opportunity to shape the first & best-resourced public-interest research team focused on AI security. Resources & access Pre release access to multiple frontier models and ample compute. Extensive operational support so you can focus on research and ship quickly. Work with experts across national security, policy, AI research and adjacent sciences. If you're talented and driven, you'll own important problems early. 5 days off learning and development, annual stipends for learning and development and funding for conferences and external collaborations. Freedom to pursue research bets without product pressure. Opportunities to publish and collaborate externally. Life & family Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol. Hybrid working, flexibility for occasional remote work abroad and stipends for work from home equipment. At least 25 days' annual leave, 8 public holidays, extra team-wide breaks and 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time). On top of your salary, we contribute 28.97% of your base salary to your pension. Discounts and benefits for cycling to work, donations and retail/gyms. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 28.97% employer pension and other benefits on top . This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. Additional Information Internal Fraud Database The Internal Fraud function of the Fraud, Error, Debt and Grants Function at the Cabinet Office processes details of civil servants who have been dismissed for committing internal fraud, or who would have been dismissed had they not resigned. The Cabinet Office receives the details from participating government organisations of civil servants who have been dismissed, or who would have been dismissed had they not resigned, for internal fraud. In instances such as this, civil servants are then banned for 5 years from further employment in the civil service. The Cabinet Office then processes this data and discloses a limited dataset back to DLUHC as a participating government organisations. DLUHC then carry out the pre employment checks so as to detect instances where known fraudsters are attempting to reapply for roles in the civil service. In this way, the policy is ensured and the repetition of internal fraud is prevented. For more information please see -Internal Fraud Register. We are committed to providing equal opportunities and promoting diversity and inclusion for all applicants.

About Lendable Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world's leading fintech companies and are off to a strong start: One of the UK's newest unicorns with a team of just over 600 people Among the fastest-growing tech companies in the UK Profitable since 2017 Backed by top investors including Balderton Capital and Goldman Sachs Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) So far, we've rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers' hands in minutes instead of days. We're growing fast, and there's a lot more to do: we're going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes. Join us if you want to Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1 Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting About the role We're looking for an experienced, strategic, and data-driven Senior Product Manager (PM) to join our Credit Card Product team. We launched our Credit Card in the UK in 2020 and in the US in 2024. We are now working on scaling our customer base exponentially. As a member of the Product team, you will play a key role in helping us achieve our ambitious goals. The Zable credit card is a Mobile App-first product targeted at the credit builder customer segment in the UK and the US. We give customers the power to build their credit rating over time while offering them a flexible line of credit that meets their spending needs sustainably. This role will cover all aspects of credit card product management, and you will be given the freedom to define new features and manage projects end to end, including: Shaping our mobile App experience to empower customers to manage their finances Optimising how we acquire new customers for speed and efficiency Improving our underwriting capabilities to support best-in-class credit decisions Building tools which maximise efficiency for our Customer Service and Fraud teams Finding new ways to support customers who may be experiencing financial difficulty PMs at Lendable work closely with teams such as Engineering, Credit, Growth and Operations to drive their product and take the business to the next level. It's your job to break down complex tasks into bite sized deliverables and prioritise projects according to their maximum impact. While high quality delivery is a key part of this role, we encourage all our teams to look at the big picture and help Lendable grow. What we're looking for Experience in a product, analytical or commercial role within Tech, Finance or Management Consulting Bonus: Experience working in start-up/scale-up environment preferred but not required Bonus: Experience in credit cards, lending, or fintech is a plus, but not a requirement A bias for action: you move fast, get things done, and iterate quickly based on feedback Possess high attention to detail and a "sweat the small things" approach to delivering a high quality product to our customers Are data-driven: you are comfortable challenging assumptions or being challenged to ensure good decisions are supported by data. What you'll be working on Own and drive the strategy, execution, and growth of a vertical within our expanding cards business. Managing the delivery of our credit card proposition; define product roadmaps, break down complex problems into actionable steps, and prioritise ruthlessly based on impact. Champion data-driven decision-making, measuring outcomes, and iterating quickly based on learnings. Working alongside other Product Managers and an Engineering Team to define the product roadmap Testing and measuring the impact of new releases and experiments Liaising across teams (data science, Operations, developers etc.) to deliver new features and ideas Navigate a fast-paced, evolving fintech landscape, balancing innovation with compliance and risk management. Partnering with design to ensure our customers' needs are always at the heart of what we're building How you will contribute to the Product Team's objectives Autonomy; you are comfortable managing a product line Prioritising product features independently Creating new features based on discussions and requirements from the wider business Running standups and weekly planning sessions with the engineering team Being accountable for product delivery and the commercial impacts Collaborating with other business teams, allowing you to make many small decisions that impact features within the product Optimising developer time with an engineering mindset to maximise business impact Identifying bottlenecks early and working out the dependencies that may block the product development well ahead of time Problem solving; consistently breaking down complex business problems into bite sized chunks. Complex tasks don't intimidate you and you are able to break down a complex problem into parts Analysis; you have experience with numerical analysis - at least excel, ideally some SQL. We will teach you the tools (SQL), but you need to feel very comfortable with numbers. You have used data to drive real-world actions Communication and leadership skills; you can communicate clearly and succinctly, orally and in writing; you enjoy a lively discussion. You effortlessly adjust your communication to suit your audience, from business owners to engineers. You don't have a massive ego and you are happy to change your mind when presented with a good argument Collaboration; you have established close relationships with key stakeholders across data science, developers, compliance, customer service allowing you to quickly assemble cross functional teams for product delivery Working at speed; you make things happen. You are not afraid to roll up your sleeves and take responsibility for implementation and design decisions. You work at speed and enjoy a healthy dose of pressure Process management; a solid understanding of the software development life cycle and how product can support each stage Agility; not just Agile (Scrum or Kanban would be nice) but adaptability to thrive in an unstructured, fast-moving and constantly evolving high growth environment Interview process A Quick introduction call with someone from the Talent Team or Product Team A take-home exercise to complete in your own time + take-home debrief (via video) Final rounds: Cultural Interview with some wider team leads MD interview Head of Product / Group PM interview CPO Life at Lendable The opportunity to scale up one of the world's most successful fintech companies. Best-in-class compensation, including equity. You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas. Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday. We care for our Lendies' well-being both physically and mentally, so we offer coverage when it comes to private health insurance We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London Check out our blog!

Aveni is an award-winning technology company. We use advanced AI to enable scalable efficiency for financial services companies, combining world leading Natural Language Processing (NLP) and Large Language Model (LLM) expertise with deep financial services domain experience to drive enterprise wide productivity. We're using the latest in AI to automate and innovate, empowering financial service businesses to achieve exceptional productivity and compliance outcomes. Role Overview As a Forward Solutions Engineer / Principal Solutions Consultant at Aveni, you will be a key technical leader in pre sales, solution design, and customer engagement. You will work closely with sales, product, engineering, and customer success teams to define, architect, demonstrate, and deliver AI powered solutions tailored to banks, wealth managers, insurance firms, and other financial services clients. Your mission is to translate complex business and regulatory needs into scalable, robust, compliant solutions that underscore Aveni's value proposition. You will often be "forward deployed", meaning you'll engage closely with strategic clients, acting as subject matter expert, leading technical discovery, driving proof of concepts (POCs), and ensuring successful handover to implementation and ongoing support. About You You are a seasoned Consultant who combines deep technical capability with business insight, someone who is equally at ease in boardroom discussions as you are in exploring architecture diagrams. You thrive when solving complex, regulated industry problems, especially in financial services or adjacent sectors. You likely come from a Big 4 consultancy, technology advisory practice or a similarly demanding environment. From this background you bring: Rigorous client facing experience: doing discovery, scoping, workshops, POCs, RFPs, not just writing proposals, but engaging deeply with clients at multiple levels (operations, risk, compliance, executives). Structured, analytical problem solving: you break down fuzzy business problems, diagnose root causes, map them to technical and regulatory constraints, and propose robust, scalable solutions. High standards of delivery: you are accustomed to detailed documentation, demanding stakeholders, continuous quality checks, and the discipline of consultancy timelines and billing. Strong commercial awareness: you understand value propositions, return on investment, trade offs (cost vs speed vs write down risk), and you factor in risk, compliance, data governance when designing solutions. Key Responsibilities Lead technical discovery and scoping phases with prospective clients: understand their business, compliance, risk, operational, regulatory and data environment. Design solution architectures leveraging Aveni's products (Detect, Assist, Agents, FinLLM) plus integrations with client systems (e.g., CRM, communication tools, data pipelines). Develop, deliver, and customise demos, POCs, workshops to illustrate value, ROI, regulatory compliance, risk mitigation, etc. Collaborate with sales teams to respond to RFIs / RFPs, proposals, pricing, technical documentation. Be a trusted advisor to clients: articulate how Aveni's AI/LLMs meet their needs; help them navigate trade offs (accuracy, risk, explainability, privacy). Provide feedback to Product and Engineering on feature requests, prioritisation, bug fixes, user experience, based on what you see in the field. Help define best practices, patterns, reusable assets (e.g., architecture templates, demo scripts, integrations) to speed up future engagements. Mentor / guide more junior solutions / presales engineers or consultants. Stay up to date with regulatory developments (e.g., Consumer Duty, risk oversight, compliance in financial services), Agentic / AI / NLP / LLM technologies, competitive landscape. Occasionally participate in post sales support / implementation oversight to ensure smooth handover, maintain continued alignment and client satisfaction. Requirements Must havens Substantial experience in pre sales / solutions consulting / technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural thinking, trade off evaluation, understanding of scalability, performance, data governance. Excellent communication and presentation skills: able to adapt technical stories for non technical executives (e.g., risk / compliance / operations leaders) as well as technical audiences. Experience leading or contributing in POCs, custom demos and pilot deployments. Deep understanding of regulatory and risk & compliance in financial services. Good project management and stakeholder management skills: managing cross functional teams, setting expectations, handling ambiguity. Nice to havens Prior experience in using or building AI Agents, generative models and NLP pipelines. Familiarity with tools or frameworks for LLM deployment, prompt engineering, vector databases, embeddings, etc. Experience with integrations (CRM, communications platforms, call recordings, speech to text, etc.). Familiarity with cloud architectures, data warehouses / lakes, data security/compliance frameworks (e.g., ISO, GDPR, regulations specific to FS). Experience mentoring juniors, creating reusable technical assets / IP. What Success Looks Like Delivery of well scoped POCs and demos that lead to closed deals. Technical proposals and architectures that satisfy both product capability and regulatory/risk constraints of clients. Positive feedback from clients on the clarity, reliability, and impact of your solutions and engagement. Good alignment and collaboration with Product, Engineering and Sales: features and customer insights feeding into roadmap, and technical delivery matching expectations. Reusability and scale: you help build patterns or frameworks that reduce effort and risk in future similar engagements. Maintaining up to date knowledge of regulatory environment and AI advances so that Aveni remains credible and ahead in the market. What We Offer A collaborative and innovative work environment with awesome career growth opportunities. 34 days holiday plus your birthday off (inclusive of bank holidays). Share options - we believe in shared success. Skills development - continuous learning is at our core, expect the development to be front and centre of everything you do. Remote and flexible working - remote, co working spaces, or a mix of both. Life insurance, income protection and private health care. Freebies and discounts at a range of retailers. Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support). Cycle to work scheme. Pension scheme (employer contribution matched up to 5%). Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we'd like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

THIS IS AN UNPAID VOLUNTEERING ROLE. Role Title: Principal/Senior Technology Officer (Artificial Intelligence) Role Nature: Volunteer Location: Home-based / Remote The Blockchain & Climate Institute (BCI) is an international volunteers led think tank supporting and advocating the application of blockchain and other data technologies in the global fight against climate change. We are looking for a passionate VOLUNTEER who takes a methodological approach to their work, conducts independent research and analysis, engages with key stakeholders and establishes strategic partnerships to progress the BCI's core mission. This role is for a Principal Technology Officer (PTO - Artificial intelligence) and is a very senior position reporting to the CTO. The successful candidate will provide strategic and technical leadership for Artificial Intelligence across all BCI projects. You will be responsible for overseeing and implementing the use of AI, Machine Learning, Data Science, Data Modelling and associated tooling for internal productivity and climate action. You will perform research, onboard and train other team members, execute proof of concepts and pilots, and build applications using available data sets and AI models. As with all roles in BCI, this role is a voluntary unpaid role. You will have the opportunity to work with a diverse and passionate group of experts, collaborate with leading organisations and stakeholders in the field of climate and sustainability, and contribute to the advancement of knowledge and innovation in this domain. You will also gain valuable experience and skills in emerging technologies, project management, and leadership. Responsibilities Define and execute the AI technology strategy and roadmap for BCI's projects and initiatives; Build, lead and manage the AI technology team, including hiring, training, mentoring, and performance evaluation; Research and identify the best data sets and AI models for our use cases and objectives; Design, develop, test, and deploy applications and solutions using AI, Machine Learning, Data Science, Data Modelling, and associated tooling; Ensure the quality, reliability, security, and scalability of our technology products and services; Monitor and evaluate the performance and impact of our technology solutions and provide feedback and recommendations for improvement; Communicate and collaborate with internal and external stakeholders, including project partners, sponsors, donors, and beneficiaries; Stay updated on the latest trends and developments in the field of emerging technologies, climate, and sustainability; Generate opportunities for strategic partnerships; and Attend conferences and events to promote the BCI, communicate research findings and insights via Powerpoint decks, and engage with key stakeholders. Skills & Abilities Excellent oral communication skills, including the ability to develop effective working relationships, work flexibly across professional and operational boundaries, and communicate professionally with internal and external stakeholders at all levels; Excellent organizational skills and ability to balance competing demands under pressure; Proven ability in computing or math related tasks of Agile technology projects; Experience in building constructive relationships with stakeholders; Experience in working independently and with teams to drive forward projects using own initiative; Experience in designing, planning, and facilitating independent research and the ability to meet tight deadlines; and Excellent communication, presentation, and interpersonal skills with the ability to present ideas appropriately and persuasively General & Specialist Knowledge Strong technical skills, proficient in various programming languages, frameworks, and tools for data analysis and AI development, such as Python, R, TensorFlow, PyTorch, Scikit learn, etc; Familiar with various data sources, formats, and standards, such as APIs, JSON, XML, CSV, etc., and detail oriented; Experience in developing and deploying applications and solutions using cloud platforms, such as AWS, Azure, Google Cloud, etc.; A portfolio of supported Open Source GitHub projects (desirable); Experience in leading and managing technology teams and projects, including agile methodologies, budgeting, reporting, and documentation; and Passionate and knowledgeable about climate and sustainability issues and solutions, with a sense of mission and willingness to learn not just about technology but also about all other aspects that could be necessary to deliver impactful climate actions. Education & Training Bachelor's or master's degree (or equivalent) in Computer Science, Engineering, Information Technology, or related field; Fluent in English; and Aptitude in Arabic, Chinese, French, Russian, or Spanish (desirable). Relevant Experience At least 5 years of professional experience in AI, Machine Learning, Data Science, Data Modelling, or a related field; Nimble business mind with a focus on developing creative solutions; Strong project reporting skills with a focus on inter departmental and inter organisational communication; and Experience of working independently and with teams to drive forward projects using own initiative. What difference will you make? Blockchain and other emerging technologies. Climate change and sustainability. These are two hot topic groups that have been headlining media outlets, dominating conferences & events, and gaining increasing traction in research and pilot projects. BCI is here as an expert platform to help governments, inter governmental and regional organizations as well as relevant corporates to negotiate the complex landscape of emerging technologies for environmental good. We cement our expertise by putting in the hard work in researching, identifying, and analyzing the applications of emerging technologies so that informed decisions can be made by the stakeholders in the climate change and action network. Benefits you will get from volunteering with BCI are enormous and some include: You will hone or learn new skills including research, presentation, writing, professional etiquette; Your mind will be mentally stimulated, hence providing you with a sense of purpose; You will advance and boost your professional career by helping you to make professional connections and giving you real world experience at the intersection between climate and emerging technologies; and Help you develop long lasting professional relationships with others. People who come together to make the world a better place forge a close connection. Selection Process As a voluntary organization, we are pleased to open the door for candidates who may not have the prior experience they need to start, progress, or switch their careers. To recruit the most suitable, talented, or potential new members out of the volume of applications received, it is the BCI's policy to also consider inexperienced candidates to fill our voluntary unpaid roles as long as they can demonstrate the skills required in the written assessment. In the selection process, most candidates will be invited to complete the following assessment. Section A: Verbal and Numerical Reasoning (20 multiple choice questions) Section B: Situation Judgement Test (20 multiple choice questions) Section C: In Tray Exercise (An open ended assessment relevant to the duties of the role) Candidates who pass all three sections will be invited to attend a phone screening, first interview, and final interview online.

A leading software company in London is seeking a technical leader for their Intelligent Document Processing solution. This role involves defining the product vision, building teams, and overseeing model lifecycles using advanced AI technologies. Ideal candidates should have extensive experience in software engineering along with a strong background in machine learning. Flexible work arrangements are available.

A leading FinTech company in London is seeking a Head of Data Science to work hands-on with a growing team. You will develop advanced machine learning models for credit risk and affordability, enhance product offerings, and identify target businesses for sales. Strong skills in machine learning and data analytics are essential, along with experience in collaborative team environments. Join a dynamic firm backed by major global investors.

Location: One Braham (4140), London, United KingdomSalary: Competitive with Excellent Benefits Recruiter: Trevor Newman Career Grade: D Internal Closing Date: 26/01/26 Our leadership standards Looking in: Leading inclusively and Safely I inspire and build trust through self-awareness, honesty and integrity. Owning outcomes I take the right decisions that benefit the broader organisation. Looking out: Delivering for the customer I execute brilliantly on clear priorities that add value to our customers and the wider business. Commercially savvy I demonstrate strong commercial focus, bringing an external perspective to decision-making. Looking to the future: Growth mindset I experiment and identify opportunities for growth for both myself and the organisation. Building for the future I build diverse future-ready teams where all individuals can be at their best. A FEW POINTS TO NOTE: Although these roles are listed as full-time, if you're a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch.We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us.Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. BENEFITS: Annual On target bonus 10% (personal and company multipliers) BT Pension scheme; minimum 5% employee contribution, BT contribution 10% Life Assurance Direct share scheme Exclusive colleague discounts on our latest and greatest BT broadband packages 50% off EE mobile pay monthly or SIM only plans and 50% discount for friends and family on EE SIM only plans My Discounts gives colleagues access to unbeatable savings on everyday purchases at hundreds of retailers Discounted EE TV including TNT Sport and the NOW Entertainment membership Great support for working parents including pay whilst on maternity, adoptive, and paternity leave Option to join the Healthcare Cash Plan or other benefits such as dental insurance, gym memberships etc. 25 days annual leave (not including bank holidays), increasing with service with buy holiday option Volunteering days so you can give back to your local community Brand new electric vehicle salary sacrifice arrangement, known as 'My EV' Why this job matters We are looking for a Data Science & AI Specialist to obtain value from the full range of all BT data sets using advanced DS and AI models. In this role, you will be responsible for designing, building, deploying, and operationalizing artificial intelligence and machine learning models within the AWS ecosystem. This role combines strong software engineering practices with data science knowledge, leveraging SageMaker's full suite of tools to manage the entire ML lifecycle. What you'll be doing • Leads the extraction and analysis of Mobile data through the application of Machine learning & AI techniques to generate insight from data to support decision-making across the business or to embed in new products and services. • Drives model development, including data exploration, training data, feature extraction, validation and scoring. • Drives the development of insightful visualisations to make sophisticated analyses accessible to a broad audience. • Drives initiatives related to fairness, ethics, interpretability, safety, robustness, and privacy in the context of artificial intelligence and machine learning. • Leverage Amazon SageMaker's capabilities, such as SageMaker Studio, Pipelines, and Endpoints, to streamline the process of building, training, evaluating, and deploying models at scale. • Implement and maintain robust Machine Learning Operations (MLOps) practices, including CI/CD pipelines, model versioning, monitoring for drift and performance, and automated retraining processes. • Collaborate on data acquisition, preprocessing, feature engineering, and data analysis to prepare large datasets for model training. • Leads the identification of opportunities and implementation of Sagemaker machine learning techniques to derive business insights. • Drives machine learning model development, including data exploration, training data, feature extraction, validation and scoring • Contributes towards the development of machine learning guidelines, policies, and architecture which supports scalable machine learning pipelines. • Drives new data set sourcing, transformation and preparation new data sets from across the BT group's platforms to build foundational data models for data science, analytics and machine learning. The skills you'll need • 2-3 years+ of proven success at applying Data Science approaches or developing and shaping AI algorithms and models. (Mandatory) • Cloud Platforms - Experience with AWS cloud services for scalable AI & data solutions. (Mandatory) • Experience in programming languages such as Python/Java and strong knowledge of AI/ML libraries. (Mandatory) • Solid understanding of software architecture, data modeling, and various data structures. • Knowledge of data governance practices to ensure data quality, security, and compliance. • Demonstrates a comprehensive understanding of ethical considerations related to artificial intelligence and possesses the capability to develop and implement fair and responsible AI solutions. • Research skills to stay up-to-date with the latest AI trends and continue to learn new techniques. • Excellent communication - the ability to listen and to share ideas clearly to a range of audiences. • Experience in leading, managing and/or coaching others - particularly those in technical roles, whether as a line manager or not.BT Group was the world's first telco and our heritage in the sector is unrivalled. As home to several of the UK's most recognised and cherished brands - BT, EE, Openreach and Plusnet, we have always played a critical role in creating the future, and we have reached an inflection point in the transformation of our business. Over the next two years, we will complete the UK's largest and most successful digital infrastructure project - connecting more than 25 million premises to full fibre broadband. Together with our heavy investment in 5G, we play a central role in revolutionising how people connect with each other. While we are through the most capital-intensive phase of our fibre investment, meaning we can reward our shareholders for their commitment and patience, we are absolutely focused on how we organise ourselves in the best way to serve our customers in the years to come. This includes radical simplification of systems, structures, and processes on a huge scale. Together with our application of AI and technology, we are on a path to creating the UK's best telco, reimagining the customer experience and relationship with one of this country's biggest infrastructure companies. Change on the scale we will all experience in the coming years is unprecedented. BT Group is committed to being the driving force behind improving connectivity for millions and there has never been a more exciting time to join a company and leadership team with the skills, experience, creativity, and passion to take this company into a new era.

Who is lift ? lift is the only audience management platform built specifically for the iGaming industry. Designed to help operators capture, segment and activate their first party data, Lift enables smarter, data driven campaign decisions that maximise ROI across programmatic, search and social media channels. With advanced machine learning and a deep understanding of player behaviour, we empower brands to deliver full funnel marketing strategies for acquisition and retention - globally. What are we recruiting for? We're looking for a driven, experienced Technical Sales Manager to join our high growth business. You will play a pivotal role in driving global expansion for lift by leading the sales process from a technical perspective, presenting the capabilities and proposition of our SaaS programmatic platform to our clients - iGaming operators and agency partners. You'll be the face of our platform for all things technical, internally and with clients alike, positioning lift DSP as the go to solution for data led audience management and media performance. You will work closely with our Head of Sales and Head of Technology to design and present our programmatic and data driven solution to customer acquisition and retention, translating complex technical capabilities into clear commercial value. What will you be doing? Own and grow a pipeline of mid market and enterprise opportunities across agencies, brands, and technology partners Lead technical discovery and solution design for prospects Support commercial negotiations and contracting alongside senior leadership Develop tailored proposals and technical documentation where required Act as the technical authority during the sales cycle, including platform demos and architecture discussions Advise clients on integration and on boarding options Support proof of concepts and pilot campaigns What will you bring to the party? Background in programmatic trading, analytics, or ad operations Proven experience in technical sales, pre sales, or solutions engineering within adtech or martech Strong hands on knowledge of DSPs and DMPs Solid understanding of Programmatic ecosystems, Data onboarding, taxonomy, and activation Experience selling complex, bespoke SaaS solutions Excellent communication skills with the ability to explain technical concepts to stakeholders Experience working with agencies, trading desks, or large enterprise brands Familiarity with APIs, data schemas, and cloud based architectures What are we offering? Competitive base salary + bonus Flexible working environment Opportunity to shape a category defining proposition in a high growth industry Supportive and ambitious team culture Travel opportunities to major global iGaming and advertising conferences If you want to be part of a great team building a high growth, innovative brand in a fast paced industry, then we want to hear from you!

A leading global lifestyle company is seeking an experienced Data Scientist to discover insights from customer data. The role involves building predictive models, creating customer segments, and collaborating with engineering and marketing teams to enhance the customer experience. Ideal candidates will have a solid background in machine learning, statistics, and strong proficiency in Python. This position is based in City Of London.

Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? Why this role matters: UiPath is redefining how enterprises understand and transform documents at scale. You will be the technical and organizational force multiplier leading our London team on UiPath's Intelligent Document Processing (IDP) solution-a mission-critical, AI-native product with global visibility and strategic impact across the organization. This is a highly visible, impact-driven position reporting to the global VP of Engineering for Document Understanding, with exposure to UiPath's executive team (CEO, CTO & CPO). Key responsibilities Define and communicate a multi-year vision that aligns product and state-of-the-art AI technology. Architect and govern a modern stack built on Python (70%), Rust (30%), PyTorch and Kubernetes. Oversee end-to-end model lifecycle, both offline and at runtime: data curation, pre-training, runtime model fine-tuning, evaluation and guard-railing Scale, coach and retain a high-performing organization distributed within a single time-zone; grow managers and ICs into future leaders. Continuously improve cost/latency trade-offs for large-scale inference and runtime, user-controlled fine-tuning. Evaluate and implement emerging AI technologies and methodologies, guiding the team to push the boundaries of Document Processing in enterprise environments. Requirements Proven engineering pedigree. Former hands-on IC able to jump into code reviews or prototypes when needed. Deep production experience with modern ML platforms (PyTorch, TensorFlow) and container-orchestration (K8s, Docker). Demonstrated success delivering AI/ML products at cloud scale (SaaS) with rigorous SLAs. Track record of building or operating LLM infrastructure (vector DBs, RAG pipelines, model optimization, guardrails). Understanding of machine learning fundamentals and familiarity with transformers. 12+ years in software engineering, 5+ years leading multi-disciplinary teams, including remote or matrix setups. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, please refer to our privacy policy.