Machine learning jobs in United Kingdom

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Job Description \n About the role: \n Join us as a Senior Software Engineer in our critical Account Integrity team. This is a high-impact engineering role with a strong product focus, dedicated to solving complex, real-world adversarial problems to directly protect our global customer base. \n How we work: \n The Account Integrity Team \n The Account Integrity team is on the front lines, dedicated to safeguarding our platform against sophisticated financial crime. We leverage cutting-edge machine learning, real-time transaction monitoring, and advanced data analysis to create robust controls and detection capabilities. Our vision is to build a globally scalable fraud prevention engine that protects customer accounts, prevents scams, and consistently surpasses regulatory expectations. \n What will you be working on? \n This defining role involves continuously improving our financial crime prevention infrastructure and systems. You will deliver a direct, measurable impact on customer security by taking end-to-end ownership of projects focused on: \n\n • \n Building and refining critical controls to protect Wise customers accounts from account takeovers. \n • \n Drive Backend and Frontend for our crime prevention and detection systems - You will be working 80% of the time on a backend and 20% on the frontend \n • \n You will be delivering a tangible, real-world impact by securing customers' money, accelerating product growth by raising automation levels, and helping us engineer a world-class money transfer product. \n\n What do you need? \n\n • \n Engineering Expertise: Professional experience with Java or other JVM-based languages, including the Spring framework. Experience building and designing scalable web applications that handle large amounts of traffic - ideally using React based frontend applications, Javascript / Typescript. \n • \n System Design & Operation: Proven experience designing and operating CI/CD pipelines, Distributed, and Concurrent Systems. \n • \n Product Ownership: A strong product mindset, accountability, and the ability to drive projects independently, making data-driven decisions with the customer in mind. \n • \n Data Proficiency: Experience with relational and non-relational databases, including query optimisation and designing resilient schemas. \n • \n Code Quality: Exceptional fundamentals, sharp problem-solving ability, and a commitment to Test Driven Development and best coding practices. \n • \n Collaboration: Excellent communication skills to articulate complex technical concepts across teams (Product, Data Science, Investigations). \n\n Nice to Have: \n\n • \n Familiarity with the machine learning lifecycle (data pipelines, feature engineering, and deploying ML systems into production). \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work – a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it's like to work at Wise London! \n • \n Our Engineering career map \n • \n Wise Engineering – https://medium.com/wise-engineering \n\n What do we offer: \n\n • \n Starting salary: £87,500 - 111,000 + RSUs \n • \n Wise Benefits \n\n #LI-AB3 #LI-Hybrid \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Sainsbury's DTD to connect them with exceptional professionals for this role. \n At Sainsbury’s, data sits at the heart of how we operate, innovate and serve our customers. Our Data & Analytics team is building a technically advanced, commercially focused and impactful capability, powering our Next Level Strategy and helping to create a Sainsbury’s powered by industry leading AI algorithms. We use data, technology and advanced analytics to drive better decisions across the business, from forecasting and optimisation to experimentation, personalisation and machine learning. With one of the richest retail datasets I n the UK and a portfolio spanning Sainsbury’s, Argos, Habitat and Nectar, the opportunity to innovate is huge. Here, you’ll tackle complex challenges at scale, create measurable impact and grow quickly alongside brilliant colleagues. People who thrive with us combine business understanding, technical expertise and curiosity, with a natural instinct for problem-solving. Join us and help shape the future of retail through data and AI. \n Why join us \n Joining Sainsbury's as a Metadata & Data Quality Analyst offers a unique opportunity to play a pivotal role in enhancing data quality and driving impactful changes within the organisation. As part of our team, you will have the chance to manage and optimise the Group Data Catalogue, implementing data quality processes, and collaborating with stakeholders to ensure data integrity and value. With a focus on continuous improvement and innovation, you will be at the forefront of shaping data-driven solutions and contributing to the organisation's success. At Sainsbury's, you will be part of a dynamic and forward-thinking environment that values excellence, collaboration, and professional growth. \n What you'll do \n To drive and deliver the operational management of ‘assured data’ across the organisation, by progressing data quality improvements/controls and the Group Data Catalogue content and ownership, to ensure analytics, insights and decisions are based on validated data. The role will involve working across multiple teams, a mix of systems with a range of tools and technologies. \n As a Metadata & Data Quality Analyst at Sainsbury's, your primary responsibility will be to manage and optimise the operational management of the Group Data Catalogue, ensuring that data quality is continuously improved through profiling, rule implementation, and triage processes. You will play a crucial role in developing and implementing data catalogue processes that enable users to work with data efficiently, supporting rapid discovery, prototyping, and data science initiatives that drive production solutions. Your role will involve identifying and prioritising artefacts for ingestion, maintaining the Group Data Catalogue, and collaborating with stakeholders to address data quality issues promptly and effectively. By facilitating source system data quality remediation and coordinating with the data ownership community, you will drive appropriate data quality improvements while prioritising and completing tasks within agreed timeframes. \n What you need to know and show \n As a Metadata & Data Quality Analyst at Sainsbury's, you are a meticulous and analytical professional with a deep understanding of data quality management and metadata analysis. With a focus on improving data quality and ensuring the integrity of the Group Data Catalogue, you possess the expertise to develop and implement data quality triage processes, identify root causes of data quality issues, and drive continuous improvement initiatives. Your ability to prioritise work effectively, collaborate with stakeholders across the organisation, and leverage technology for data cataloguing and profiling makes you a valuable asset in ensuring high-quality data standards and operational efficiency within the company. \n Essential Skills: \n\n • Advanced SQL with hands-on experience in Snowflake, including query optimisation, profiling, and schema management\n, • Hands-on experience with a data catalogue platform (Alation strongly preferred)\n, • Practical experience implementing or operating data quality rules, checks, and triage processes.\n, • Familiarity with data quality tooling (Alation Data Quality / Soda or equivalent).\n, • Understanding of metadata concepts: stewardship, ownership and classification.\n, • Awareness of data governance frameworks and their practical application\n\n Desirable Skills: \n\n • GitHub working knowledge\n, • Python scripting for automation, data quality checks, and pipeline integration\n, • GitHub for version-controlled configuration, pull requests, and CI/CD workflows\n, • Previous experience of creating reporting and visualisations, Power BI or other\n, • Awareness of Data Vault Modelling\n, • Understanding of design and development of data stores, digital solutions and data warehouses and associated toolsets.\n, • Data and information management lifecycles\n, • Knowledge and use of data quality methodologies, approaches, and processes\n, • How to undertake triage, root cause analysis and resolution- Desirable\n, • Understanding of JIRA- Desirable \n, • Understanding of Agile principles- Desirable\n\n Skills and Behaviours \n\n • Own it - takes full accountability for data quality issues through to resolution.\n, • Make it better - identifies opportunities to improve data availability that is trusted.\n, • Be human – Engaging with Senior Engineers and Architects to create standardised processes; builds great working relationships with colleagues (technical and non-technical) and shows care and respect to everyone. \n\n #DataAndAnalytics \n #Analytics \n #LI-CM1 \n We are committed to being a truly inclusive retailer so you’ll be welcomed whoever you are and wherever you work. Around here, there’s always the chance to try something new — whether that’s as part of an evolving team or somewhere else across the business - and we take development seriously and promise to support you. We also recognise and celebrate colleagues when they go the extra mile and, where possible, offer flexible working. When you join our team, we’ll also offer you an amazing range of benefits. Here are some of them: Starting off with colleague discount, you'll be able to save 10% on your shopping online and instore at Sainsbury's, Argos, TU and Habitat, and we regularly increase the discount to 15% at points during the year. We've also got you covered for your future with our pensions scheme and life cover. You'll also be able to share in our success as you may be eligible for a performance-related bonus of up to 10% of salary, depending on how we perform. Your wellbeing is important to us too. You'll receive an annual holiday allowance and you can buy up to an additional week's holiday. We also offer other benefits that will help your money go further such as season ticket loans, cycle to work scheme, health cash plans, salary advance (where you can access some of your pay before pay day) as well access to a great range of discounts from hundreds of other retailers. And if you ever need it there is also an employee assistance programme. Moments that matter are as important to us as they are to you which is why we give up to 26 weeks’ pay for maternity or adoption leave and up to 4 weeks’ pay for paternity leave. Please see www.sainsburys.jobs for a range of our benefits (note, length of service and eligibility criteria may apply).

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n Team you will be working with: Receive Risk \n The Receive Risk team is part of Acquiring Squad, in the Global Product tribe, dedicated to ensuring customers can receive money quickly and securely, using our full suite of Acquiring products. We build smart fraud detection and prevention systems to stop scammers and fraudsters from exploiting Wise or defrauding our customers. \n Supporting our full suite of Acquiring products — QuickPay, Payment links, Invoices, e-commerce, and more — we work closely with our financial crime teams to strike the perfect balance: seamless experiences for legitimate users, strong barriers against bad actors. \n What will you be working on? \n We're looking for a Backend Engineer to build a fraud engine that will help us ship new products and features quickly while keeping risk and cost low. This will involve working closely with Product, Data Science, Fraud Prevention Analysts and our Fraud agents to strike the right balance between scaling quickly and mitigating risk efficiently. \n What do you need? \n\n • \n Hands-on experience with distributed systems, including microservices architecture and backend services supporting large-scale traffic. \n • \n Proven ability to deliver high-performance, low-latency systems with a focus on speed, scalability, and reliability. \n • \n Strong product-oriented mindset, with end-to-enpd ownership of features and close collaboration across teams. \n • \n Proficiency in Java (preferred) or solid experience with similar backend programming languages. \n • \n Familiarity with messaging systems such as Kafka or RabbitMQ, and strong knowledge of relational databases (SQL). \n • \n Excellent communication and collaboration skills, combined with a growth mindset and focus on delivering user and business value. \n\n Nice to Have: \n\n • \n Understanding of basic machine learning concepts and experience building data pipelines. \n • \n Mentorship experience, helping team members grow and contributing to a culture of continuous learning. \n\n Additional Information \n Interested? Find out more: \n\n • \n How we work - a practical guide \n • \n DEI @ Wise \n • \n Wise Tech Stack (2025 update) \n • \n See what it’s like to work at Wise London \n • \n Our engineering career map \n\n Wise Engineering – https://medium.com/wise-engineering \n What do we offer: \n\n • \n Starting salary: £87,000 - £111,000 + RSU \n • \n Wise Benefits \n\n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n Skills and Competencies \n • 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems \n - Hands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques \n - Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost \n - Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes \n - Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrieval \n - Experience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similar \n - Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred \n - Strong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value \n - Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders \n Education \n • Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field \n Responsibilities \n As a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments \n - Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents \n - Develop and deploy advanced LLM-powered applications using techniques such as retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization \n - Create robust data and inference pipelines that support both real-time and batch AI workloads at enterprise scale \n - Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services \n - Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously \n - Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage \n - Implement engineering best practices around observability, monitoring, testing, security, and operational excellence \n - Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement \n - Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams \n - Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products \n - Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning \n About the Team \n Our Innovation team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. \n The group is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real-world solutions. We operate in agile, highly collaborative squads focused on delivering innovative products that enhance productivity, unlock insights, and create measurable business impact. \n Collaboration is at the heart of everything we do. Engineers have the opportunity to work across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment. Joining our team means working on some of the most exciting challenges in applied AI, contributing to products used across the organisation, and being part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth.

hackajob is collaborating with Solirius Reply to connect them with exceptional professionals for this role. \n About Us: \n Solirius Reply, part of the Reply Group, delivers technical consultancy and application delivery to our clients in order to solve real world problems and allow our clients to respond to an ever-changing technical landscape. We partner closely with our clients, embedding our consultants into their businesses in order to provide a bespoke service, allowing us to truly understand our clients’ needs. \n It is this close collaboration with our clients that has enabled us to grow rapidly in recent years and will drive our ambitious future growth plans. We currently have over 300 consultants working with a variety of key clients from both the public and private sectors such as the Ministry of Justice, Department for Education, FCDOS, UEFA, International Olympic Committee and Mercedes Benz; with plans to increase our client base further in the near future. \n We operate as a flat organisation and believe in trusting and supporting our team to operate independently. We pride ourselves on being specialists at what we do, making the most of our consultants’ expertise in their fields in order to provide a best-in-class service to our clients. All our consultants have the opportunity to work on a range of different projects, providing a broad range of knowledge on which to develop their careers and progress in the direction they choose. \n About You: \n You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. You understand and align with Solirius Reply Values \n The Role: \n We are seeking a highly skilled Java Engineer with AI expertise to design, develop, and deploy intelligent, scalable applications. You will work at the intersection of backend engineering and artificial intelligence, building systems that integrate machine learning models, data pipelines, and cloud-native services. \n This role is ideal for someone passionate about clean architecture, performance optimization, and applying AI technologies to real-world business challenges. \n Requirements \n Key Responsibilities \n\n • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n\n\n, • Implement CI/CD pipelines and ensure high code quality standards\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n, • Design, develop, and maintain high-performance Java-based applications\n, • Integrate AI/ML models into production-grade backend systems\n, • Build RESTful APIs and microservices using modern Java frameworks\n, • Collaborate with data scientists to deploy and scale machine learning solutions\n, • Optimise system performance, scalability, and security\n, • Implement CI/CD pipelines and ensure high code quality standards\n\n\n, • Work with cloud platforms to deploy AI-powered services\n, • Contribute to architecture decisions and technical roadmaps\n\n Required Qualifications \n\n • Strong experience with Java 12+, Spring Boot, and microservices architecture\n, • Experience integrating AI/ML solutions into backend systems\n, • Understanding of REST APIs, distributed systems, and database design\n, • Familiarity with SQL and NoSQL databases\n, • Experience with cloud platforms (e.g., Amazon Web Services, Google Cloud Platform, or Microsoft Azure)\n, • Knowledge of containerisation technologies like Docker and orchestration tools such as Kubernetes\n, • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, or Java-based ML libraries)\n, • Strong problem-solving and communication skills\n\n Preferred Qualifications \n\n • Experience with NLP, computer vision, or recommendation systems\n, • Familiarity with MLOps practices and model lifecycle management\n, • Knowledge of event-driven architectures (Kafka or similar)\n, • Experience with DevOps tooling and infrastructure as code\n, • Exposure to Generative AI and large language models\n\n Benefits \n What We Offer: \n\n • Competitive Salary\n, • Bonus Scheme\n, • Private Healthcare Insurance\n, • 25 Days Annual Leave + Bank Holidays\n, • Up to 10 days allocated for development training per year\n, • Enhanced Parental Leave\n, • Paid Fertility Leave (5 Days)\n, • Statutory & Contributory Pension\n, • EAP with Help@Hand\n, • Gym Membership Benefits\n, • Flexible Working\n, • Annual Away Days/Company Socials\n\n Equality & Diversity: \n Solirius Reply is an equal opportunities employer. We are committed to creating a work environment that supports, celebrates, encourages, and respects all individuals and in which all processes are based on merit, competence and business needs. We do not discriminate on the basis of race, religion, gender, sexuality, age, disability, ethnicity, marital status or any other protected characteristics. \n Should you require further assistance or require any reasonable adjustments be put in place to better support your application process, please do not hesitate to raise this with us.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. \n As a Python Lead Software Engineer (Athena platform) at JPMorganChase within the Commodities Derisking Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. . \n Job responsibilities \n Develop next gen applications for Commodities trading desks across the globe at JPMorganChase \n\n • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems\n, • Develops secure high-quality production code, and reviews and debugs code written by others\n, • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems\n, • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture\n, • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies\n, • Adds to team culture of diversity, opportunity, inclusion, and respect\n\n Required qualifications, capabilities, and skills \n\n • Experience in working with Front Office Trading Desks. \n, • High proficiency in Python\n, • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Proficiency in automation and continuous delivery methods\n, • Proficient in all aspects of the Software Development Life Cycle\n, • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security\n, • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • In-depth knowledge of the financial services industry and their IT systems\n, • Practical cloud native experience\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As a GE Activation Lead, you will serve as the tactical engine driving the adoption of Gemini Enterprise (GE) across Google Cloud’s accounts. Your primary mission is to industrialize AI excellence by moving licenses from sold to activated, with a relentless focus on increasing Weekly Active Users (WAU) and ensuring production-grade deployment of AI agents and workflows. \n In this role, you will lead the GE Accelerator efforts, acting as the bridge between Google’s AI product roadmap and partner field execution. By arming partners with technical architecture and programmatic, you will help customers move beyond pilot phases into full-scale production-grade deployments that meet the standards of operational impact. \n Minimum qualifications: \n\n • Bachelor’s degree in Electrical Engineering, Computer Science, or an equivalent technical field.\n, • \n 10 years of experience in Partner Management, Technical Account Management, Solutions Architecture, or Professional Services within a cloud computing environment. \n • Experience leading, coordinating, or architecting AI/ML technical transformations.\n, • Experience of the GenAI stack, cloud infrastructure constraints, and machine learning life-cycles.\n\n Preferred qualifications: \n\n • Master’s degree in Computer Science, Electrical Engineering, or an MBA with a technical undergraduate background.\n, • Proficiency with Google Cloud AI offerings (Vertex AI, Gemini) and familiarity with modern multi-agent systems such as LangGraph or CrewAI.\n, • Ability to navigate complex co-investment models and milestone-based incentive agreements that align partner business with actual customer ROI.\n, • Ability to view the partner ecosystem as a product, constantly iterating on feedback loops between funding, partner capabilities, and customer success.\n\n Responsibilities: \n\n • Manage the end-to-end activation model, guiding partners through stages from value establishment to active transformation. Manage partner performance using a 5-KPI scorecard focusing on the number of deployments, WAU alignment, partner headcount with GE seats, practitioner delivery experience, and pipeline health.\n, • Oversee the deployment and continuous improvement of the activation library, including technical assets such as ROI calculators, business cases, and workshops designed to help partners activate seats and prove customer value.\n, • Facilitate coordination between Customer Account Leads (CALs), Customer Engineers (CEs), Professional Services (PSO), and partner engineers to troubleshoot technical blockers and maintain a clear log of product issues for feedback to engineering.\n, • Identify customer solutions and transform them into repeatable Ecosystem Playbooks. Translate successful partner-led transformations into global design patterns \n

hackajob is collaborating with Vanguard to connect them with exceptional professionals for this role. \n Project Contractor \n Project Contractor \n Summary \n Contract role to design and deliver a proof-of-concept knowledge graph modeling investment fund data for one of the world's largest asset managers. You will encode business rules, regulatory constraints, and identifier relationships as machine-readable ontologies — directly eliminating manual fund data processes and enabling automated validation across thousands of funds in 6 global markets. Defined POC scope, executive sponsorship, and weekly technical guidance from two of the most recognized knowledge graph practitioners in financial services. \n What You'll Deliver (POC Scope) \n An investment fund ontology (OWL 2 / RDF / Linked Data) modeling the product hierarchy: Fund > ShareClass > Listing > Security, with 73+ identifier types (ISIN, SEDOL, CUSIP, LEI, Bloomberg, and more) governed across US, UK, Ireland, Australia, Canada, and Mexico \n SHACL validation shapes encoding business rules as executable constraints — e.g., "A US-domiciled ETF listing must have a valid ISIN" — that flag violations at fund launch and throughout the fund lifecycle \n SKOS concept schemes harmonizing vocabulary across 8+ internal systems, providing a semantic bridge between source-of-record platforms \n Data integration pipelines mapping relational data into RDF triples (Turtle/N-Quads) using R2RML, rdflib, or equivalent mapping tooling \n API layer enabling downstream applications to consume graph data programmatically \n Automated governance reports surfacing data quality gaps, missing identifiers, and cross-system inconsistencies \n Required Skills \n 5+ years hands-on experience building and deploying RDF/OWL ontologies in production (not solely academic — you have shipped something real) \n SHACL for constraint validation, data quality enforcement, and shape-based governance \n SPARQL 1.1 — fluent in complex queries, property paths, and federated queries \n At least one enterprise triple store / graph platform: TopBraid, GraphDB (Ontotext), Stardog, RDFox, Amazon Neptune (RDF mode), or equivalent \n Python or Java for data transformation, pipeline orchestration, and integration work \n Familiarity with financial or securities identifiers (ISIN, SEDOL, CUSIP, LEI, or similar instrument identification schemes) — you don't need to be a fund accountant, but you need to understand what an identifier is and why it matters \n Working knowledge of data governance — you understand why constraints exist, not just how to code them \n Preferred Experience \n Financial services domain: fund data, securities master, regulatory compliance (MiFID, UCITS, listing rules) \n FIBO (Financial Industry Business Ontology) or similar financial ontologies \n TopBraid EDG / GraphWise (our target platform — evaluation input from this hire is welcome) \n SKOS for vocabulary management and cross-system term harmonization \n R2RML / RML or equivalent relational-to-RDF mapping standards \n Ontology design patterns, modular schema design, ontology versioning (Git-based workflows) \n Enterprise-scale data modeling (thousands of entities, multi-market, multi-product-type) \n Exposure to rules engines, inference, or deterministic AI (SHACL-based reasoning, business rules automation) \n Agile delivery in a regulated environment \n How We Work \n Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n 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: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n 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. \n 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. \n Join us if you want to \n\n • \n 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 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n As we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin engineer to a newly forming pod. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. This is the team that put the Tech in FinTech, our current tech team is around 80 strong and have helped transform finance by building a next-generation lending platform, a next-gen credit card, and auto-finance product, and they’re at it again with brand new product launches this year. \n We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business. \n There’s a lot to do, from building and integrating new API’s to help build out our new collections function to creating new internal tools and supporting our expansion of new products and supporting services in the US. \n We believe that software engineering is more than just code - it’s about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place. \n There is more to read about us and our Lendies in the engineering blog right here and if you’d like to check our reviews out on Glassdoor you can see these here. \n Our Tech Stack \n Backend \n\n • \n Kotlin 1.7.20 \n • \n AWS \n • \n GraphQL (it would be nice if you were familiar with this but it’s not a deal breaker) \n • \n Postgres \n • \n RabbitMQ \n • \n Docker \n • \n Kubernetes \n\n Frontend \n\n • \n React & React Native, TypeScript, MobX, Redux, Stylus and SASS \n\n Other \n\n • \n We build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a feature \n • \n We use JUnit Jupiter, Kotest and TestContainers for automated testing \n\n What technical skills you’ll need to have \n\n • \n Strong commercial Kotlin experience \n • \n An ability to write simple, clean code \n • \n Experience and understanding of databases; relational databases are a must, NoSql would be nice too \n • \n Be able to quickly understand complex, financial business domains \n • \n Understand different software architectures rapidly \n • \n Understands abstraction and interpolation \n • \n Able to write comprehensive, automated tests at all levels of the pyramid \n • \n Understanding of the Kanban agile methodology; not a deal breaker if you don’t \n\n What kind of person you’ll need to be \n\n • \n Someone who can get along with others and build relationships \n • \n Someone who wants to continually learn, improve and collaborate \n • \n Someone who can solve problems on their own but also knows when to go to their peers for help \n • \n Someone who is a rational thinker and is aware of the ‘why’ behind the way they do things \n • \n Someone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and delivery \n\n Interview process \n\n • \n A 30 minute introductory call with one of our engineers \n • \n A short coding exercise to complete in your own time \n • \n Onsite or Video Interview lasting 60-90 minutes, comprising of: \n \n • \n Introduction of the team and kind of work you could be doing daily \n • \n Discussion around the coding exercise you completed \n • \n Interactive architecture/design exercise \n • \n Tech project walkthrough \n • \n Cultural/behavioural questions to see if you’d be a good fit for Lendable \n • \n Questions you may have about the company, role, etc \n \n\n Check out our blog \n We also have an engineering blog where we have written in more detail how we work in the engineering team. \n Life at Lendable \n\n • \n The opportunity to scale up one of the world’s most successful fintech companies \n • \n Best-in-class compensation including equity \n • \n You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas \n • \n Our in-house chef prepares fresh, healthy lunch in the office every Tuesday-Thursday \n • \n Encouraged and sponsored personal and team growth through our training budget, 10% time for all engineers and active guilds \n\n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n 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: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n 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. \n 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. \n Join us if you want to \n\n • \n 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 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n Role Overview \n As the Head of Complaints, you will hold a pivotal leadership position reporting to the Director of Complaints, Fraud and Financial Crime. You will be at the heart of our mission to make consumer finance faster, cheaper, and friendlier. By championing the benefits of learning from complaint outcomes across the business, you will lead the strategic direction of our complaints department across multiple product lines. \n This is more than a management role; it is a mandate to build a high-performance environment that balances rigorous FCA regulatory compliance with the innovative, technology-driven agility of a leading fintech unicorn. You will be responsible for resolving complex issues, identifying systemic root causes, and fostering a culture of continuous learning and improvement to deliver exceptional customer outcomes. \n Key ResponsibilitiesStrategic Leadership & Team Development \n\n • \n Lead the Complaints Department: Set the strategic direction and objectives for the team, ensuring quality is maintained across all service lines. \n • \n Foster Growth Culture: Identify and develop future leaders through coaching and support, ensuring promotion is limited only by ability and ambition. \n • \n Drive Performance: Oversee a high-performance team with a relentless focus on productivity, efficiency, and consistency. \n • \n Stakeholder Management: Build and manage strategic partnerships across the business and champion the function at key meetings, including the Risk Committee. \n\n Operational Excellence & Innovation \n\n • \n Process Redesign: Continually review and optimise complaints processes to ensure they remain scalable and offer the best possible customer journey. \n • \n Root Cause Analysis (RCA): Lead all aspects of Root Cause and Remediation activity resulting from complaints to identify systemic failures and drive long-term business improvements. \n • \n Data-Driven Insights: Confidently interpret performance data and reporting to highlight areas for change and realise cost efficiencies. \n • \n Technology Integration: Leverage in-house technology, machine learning, and AI to automate heavy lifting and enhance resolution speed. \n\n Governance, Risk & Compliance \n\n • \n Regulatory Liaison: Act as the primary relationship holder with the Financial Ombudsman Service (FOS) and ensure all reporting to the FOS or the FCA meets DISP requirements. \n • \n Policy Ownership: Continuously redesign and re-engineer procedures to adapt to product growth and customer demand, ensuring full adherence to FCA regulations. \n • \n Conduct Risk: Proactively identify, monitor, and control conduct risk to prevent customer detriment. \n • \n Reporting: Take full responsibility for complaints data accuracy and reporting to the regulator and white-label partners. \n • \n Risk Mitigation: Ensure any identified risks are mitigated, actions are owned and delivered to plan, and drive accountability to promote a well-controlled function. \n\n Required Qualifications \n\n • \n Extensive Leadership Experience: Significant experience leading teams within the financial services sector. \n • \n Regulatory Expertise: Practical knowledge of FCA regulatory requirements and DISP rules. \n • \n Strategic Influence: Proven ability to manage and influence key influencers and decision-makers. \n • \n Communication Skills: Strong communication skills, both written and verbal. \n • \n Fast-Paced Delivery: A track record of prioritising and delivering in a fast-moving, high-growth environment. \n • \n Hands-on Approach: A self-starter who is willing to dive into the details of the team's work. \n\n Preferred Qualifications \n\n • \n Industry Specifics: Experience working in the motor industry or handling automotive finance complaints is highly desirable. \n • \n Fintech Background: Previous experience in a "unicorn" or rapidly scaling fintech environment. \n • \n Technical Literacy: Fluency in modern digital tools and an interest in AI-driven operational solutions. \n\n Interview Process \n 1) 30 minute call with a member of the Talent Team \n 2) 15 minute Cognitive Assessment \n 3) 45 minute Case Study Interview \n 4) 60 minute Onsite Interview with the Director of Complaints, Fraud and FinCrime \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. \n As a Lead DevOps Engineer at JPMorganChase within the Global Electronic Trading Group, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications. \n The Execution Services Technology department is looking for a DevOps team member who can support the latency Electronic Trading, Data Analytics and Quant environments. The role will be based in London, and will entail both working closely with the London Business and our Global partners \n Job responsibilities \n\n • Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors\n, • Develops secure and high-quality production code, and reviews and debugs code written by others\n, • Drives decisions that influence the product design, application functionality, and technical operations and processes\n, • Serves as a function-wide subject matter expert in one or more areas of focus\n, • Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle\n, • Influences peers and project decision-makers to consider the use and application of leading-edge technologies\n, • Adds to the team culture of diversity, opportunity, inclusion, and respect\n, • Coordinates DevOps / Integration release management activities\n, • Monitoring & Management of Plant Capacity & Reporting\n, • Management of Continuous Integration Environment\n, • Third Level Support Production Support\n\n Required qualifications, capabilities, and skills \n\n • Hands-on practical experience delivering system design, application development, testing, and operational stability\n, • Advanced in one or more programming language(s)\n, • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)\n, • Ability to tackle design and functionality problems independently with little to no oversight\n, • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field\n, • Linux: understands the OS architecture, fluent user of the command line, can fluently speak either Perl or Python, UNIX scripting, Java\n, • Cloud native: skilled in building and running applications that fully leverages cloud computing, using technologies like microservices, containers, and dynamic orchestration\n, • CI/CD: Hands on experience of CI/CD technologies like Jules, Jenkins are highly desirable. Exposure to release management tools is needed.\n, • Automation/Tools Development: Design/Develop/maintain automated tools for toil reduction, reporting based on python and other scripting language \n \n\n Preferred qualifications, capabilities, and skills \n\n • AWS experience\n, • Kubernetes\n, • Terraform\n\n ABOUT US \n JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. \n At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence. \n If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity. \n Skills and Competencies \n\n • ML/GenAI Delivery in Enterprise: 5+ years of experience leading end-to-end delivery of AI/Machine Learning initiatives across complex environments\n, • Agile Leadership: Coaches Scrum/Kanban practices; drives ceremonies and continuous improvement\n, • Backlog & Execution: Builds, prioritizes, and manages backlogs; aligns scope, timeline, and quality across squads\n, • Stakeholder Communication: Delivers project status updates, manages dependencies/risks, and facilitates decisions\n, • Project Reporting & Governance: Maintains dashboards and documentation; enforces delivery standards and controls\n, • Tools: Jira, Confluence, Agile estimation (story points, velocity, burndown)\n, • Technical Fluency (Preferred): Working knowledge of data science workflows, coding concepts, AWS, and enterprise deployments\n, • Multi-Squad Coordination (Preferred): Experience scaling delivery across regions and cross-functional teams\n, • Familiarity with Machine Learning and GenAI tools and frameworks\n, • Good knowledge of finance concepts, notably financial analysis\n, • Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency\n, • Proven ability to implement AI-powered solutions to solve business challenges\n\n Education \n\n • Bachelor’s or master’s degree in computer science, engineering, or a related field is preferred. Candidates with business-related degrees will also be considered, provided they have prior hands-on technical experience\n, • Professional certifications such as PMP (Project Management Professional), AWS Certified Cloud Practitioner, or equivalent delivery/Agile certifications (e.g., SAFe, Scrum Master) are highly desirable\n\n Responsibilities \n\n • Oversee planning, execution, and release of multiple ML/Gen AI projects aligned with strategic objectives\n, • Manage dependencies across internal and external squads, ensuring smooth progress and timely delivery of product increments\n, • Facilitate quarterly planning and roadmap alignment with engineering and product teams\n, • Champion Agile methodologies (Scrum, Kanban) and coach cross-functional teams to embed Agile mindsets\n, • Facilitate ceremonies, retrospectives, and workshops to foster adaptability and innovation\n, • Engage with senior stakeholders across the organization, including analytical and technology teams\n, • Ensure transparency through dashboards, objectives and key results, and performance reporting\n, • Assist with running product pilot programmes, product rollouts, user feedback collection in the product management cycle\n, • Identify and mitigate delivery risks proactively\n, • Track quality metrics and drive continuous improvement\n, • Partner with data science, ML operations, and front-end teams to optimise release processes and reduce time-to-market\n, • Ensure alignment of delivery with product vision and business strategy\n\n About The Team \n Moody’s Ratings’ AI Analytics group develops advanced ML/GenAI for high-profile data science initiatives. The successful candidate will guide teams in building robust, scalable, and secure ML/Gen AI solutions. The successful candidate will strive to meet Moody’s values: openness, diversity, inclusivity, respect, and a willingness to learn. \n Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. \n Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n We are looking for a Product Manager to ensure the business has a secure, scalable, and high‑performing payments foundation that enables seamless transactions and effective fraud protection. \n This is a strategic role within Group Product & Platform, and you will lead the development, launch and scaling of the Group Marketing & Loyalty platform as a core enterprise capability. Define the long-term vision. Shape the roadmap. Deliver the first implementation. Then scale it across the business. You will operate across Product, Engineering, Architecture, Data and Proposition teams, driving alignment and adoption in a complex, multi-brand environment \n\n • Define and evolve a strategic roadmap that aligns with enterprise goals, customer experience\n, • priorities, and the evolving fraud and risk landscape.\n, • Own and prioritise the payments platform roadmap aligned ensuring it delivers secure,\n, • seamless, and scalable payment capabilities across all banners.\n, • Advocate for platform principles including API-first design, modularity and reuse.\n, • Own the product relationship with key technology vendors.\n, • Drive platform adoption across Kingfisher banners.\n, • Setup and operate platform governance that safeguard payment flows, ensure compliance, and embed robust fraud controls and detection capabilities.\n, • Line manage multiple Product Owners.\n, • Develop product practices within the product teams.\n\n Activities I do to deliver my role: \n\n • Translate enterprise strategy into a clear, phased platform roadmaps.\n, • Partner closely with architecture and engineering to shape platform strategy.\n, • Partner with Fraud Operations, Risk, and Data Science teams to ensure the platform proactively responds to emerging fraud vectors and regulatory requirements.\n, • Establish platform guardrails and adoption criteria.\n, • Ensure platform capabilities support continuous monitoring, anomaly detection, chargeback\n, • reduction, and loss prevention.\n, • Provide structured updates to senior stakeholders and governance forums.\n, • Monitor platform performance, risks, costs and scalability considerations.\n, • Coach and develop product capability within the platform teams.\n\n\n, • Strong experience in payments ecosystems (cards, A2A, digital wallets, PSPs, acquiring, settlement)\n, • Track record of delivering platform products in complex, multi-brand or multi-market environments\n, • Experience balancing commercial outcomes with technical constraints and regulatory requirements\n, • Strong stakeholder management across Engineering, Architecture, Data, Fraud, Security and Compliance\n, • Data-led decision making across performance, cost and fraud metrics\n, • Understanding of fraud prevention approaches (rules engines, tooling, machine learning signals)\n, • Experience working in API-first or event-driven environments\n\n Operating environment \n\n • Multi-brand, multi-market complexity\n, • High transaction volumes with real financial exposure\n, • Structured governance alongside the need for pace\n, • Platform-first mindset over local optimisation\n\n You will be a strategic product leader who is comfortable working across multiple teams and functions, bringing clarity to complexity and helping shape shared platforms that create long term business value. You will be confident engaging senior stakeholders, driving alignment and building strong product practices within your team. \n At Kingfisher, we are looking for people who are customer focused, curious, agile, inclusive, accountable and human in the way they lead and work with others. \n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average, around 60% of your time will involve in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here. \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1

hackajob is collaborating with Kingfisher to connect them with exceptional professionals for this role. \n We’re Kingfisher, A team made up of over 74,000 passionate people who bring Kingfisher - and all our other brands: B&Q, Screwfix, Brico Depot, Castorama and Koctas to life. Guided by our purpose Better Homes. Better Lives. For Everyone. We believe a better world starts with better homes, and we work every day to make that a reality. Join us and help shape the future of home improvement. \n This is an opportunity to make a significant impact across one of the largest retail groups in Europe. We are looking for a Machine Learning Engineer who will support the delivery and operationalisation of advanced artificial intelligence solutions created by our Group AI team. Your work will help shape how millions of customers and colleagues experience our products, services and decision making across our retail brands. \n You will work as part of a high performing engineering team to build scalable machine learning systems, ensuring models are robust, efficient and suitable for a live environment. You will collaborate with engineering, product and architecture colleagues to improve tools, processes and practices that accelerate the use of artificial intelligence across the organisation. \n Key Accountabilities / Responsibilities: \n\n • Develop machine learning models and support their deployment into production\n, • Write production quality code that is robust, efficient and maintainable\n, • Contribute to the implementation and improvement of pipelines, tooling and automation\n, • Apply good engineering standards and practices in model development\n, • Monitor performance and contribute to ongoing optimisation of models\n, • Work with colleagues to understand requirements and priorities\n, • Share knowledge, contribute ideas and support a collaborative team culture\n\n\n, • Good understanding of computer science fundamentals, including data structures, algorithms and software design\n, • Practical experience with classical machine learning techniques and an awareness of modern approaches such as natural language processing and deep learning\n, • Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter\n, • Experience working with SQL and data pipelines to prepare and transform data for model training\n, • Understanding of model evaluation, monitoring and improving performance in a production environment\n, • Familiarity with tools and practices for deploying models, ideally including Git, CI workflows and containerisation\n, • Comfortable working with statistical concepts to interpret data and assess model performance\n, • Ability to work collaboratively, communicate clearly and deliver work to agreed outcome\n\n How We Work \n We believe in flexibility and balance. Our hybrid model blends home working for focus with time spent connecting and collaborating - whether in our offices or at offsite locations. On average within our Engineering team - 40% of your time involving in-person collaboration. \n We value the perspectives new team members bring and encourage you to apply - even if you don’t meet 100% of the requirements. \n What We Offer \n An inclusive environment where your potential is limited only by your imagination. We encourage new ideas, support experimentation, and strive to create a workplace where everyone can be their best self. Find out more about Diversity & Inclusion at Kingfisher here \n We also offer a competitive benefits package and plenty of opportunities to stretch and grow your career. Scroll down below to find out more about our benefits. \n Diversity & Inclusion \n Our customers come from all walks of life - and so do we. We’re committed to ensuring all colleagues, future colleagues, and applicants are treated equally, regardless of age, gender, marital or civil partnership status, ethnicity, culture, religion, belief, political opinion, disability, gender identity, gender expression, or sexual orientation. \n Interested? Great, apply now and help us to Power the Possible. \n #LI-TB1 #LI-HYBRID

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Are you ready to shape the future of banking with cutting-edge AI and machine learning? At JPMorganChase, you'll lead a talented team, solve complex business challenges, and make a real impact on our operations. We value your expertise, encourage your growth, and support your journey as you deliver transformative solutions. Collaborate with industry leaders and advance your career in a dynamic, inclusive environment. Join us to drive innovation and make a difference. \n As an Applied AI & ML Lead in the Market Operations team, you will drive the design and delivery of AI/ML solutions that enhance and transform Market Operations. You will lead a team of scientists and engineers, partner with business stakeholders and technology leaders, and ensure the successful implementation and scaling of AI-driven tools. You will identify opportunities, set technical direction, and deliver measurable impact through innovative AI/ML applications. Your leadership will help foster a culture of collaboration and continuous learning. \n Job Responsibilities: \n\n • Lead the development, implementation, and end-to-end delivery of advanced machine learning models and algorithms to drive market operations initiatives.\n, • Partner with AI Engineering teams to ensure robust architecture design and deployment patterns for AI/ML models that align with business needs.\n, • Mentor and guide a team of AI/ML data scientists, supporting iterative experimentation and tracking progress in an agile environment.\n, • Ensure production-grade AI/ML applications and tools are built, maintained, and optimized.\n, • Establish best practices for designing robust architectures, evaluation, monitoring, governance, and deployment.\n, • Champion documentation of methodologies, results, and best practices for knowledge sharing.\n, • Achieve design and delivery alignment across partnering teams to ensure execution velocity and clarity in prioritizing development prerequisites.\n, • Engage with stakeholders in an agile manner to develop, demonstrate, and iterate on deliverables, ensuring alignment with business needs.\n, • Collaborate closely with Operations, Technology, and Transformation teams to address and solve complex problems using AI/ML.\n\n Required Qualifications, Capabilities, and Skills: \n\n • MSc or PhD in Computer Science, Data Science, Machine Learning, or related field.\n, • Proven experience building and deploying AI applications in large-scale production environments.\n, • Experience with MLOps practices and tools for managing the machine learning lifecycle.\n, • Proficiency in Python and machine learning frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Strong understanding of data preprocessing, feature engineering, and evaluation techniques.\n, • Experience working with large, complex datasets and applying statistical analysis.\n, • Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).\n, • Experience managing data science teams and coaching team members.\n, • Problem-solving skills and ability to work independently and as a leader within cross-functional teams.\n, • Strong communication skills for both technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Familiarity with prompt optimization frameworks (AutoPrompt, DSPy) and building evaluation suites.\n, • Hands-on experience with agentic frameworks (LangChain, LangGraph).\n, • Experience with AWS AI deployment services (SageMaker, Bedrock) and workflow orchestration.\n, • Demonstrated experience in financial services, particularly investment banking operations.\n\n Join us to help shape the future of Market Operations through innovative AI and ML solutions at one of the world's leading financial institutions. \n #CIBAppliedAI \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Join us to shape the future of AI-driven business operations. You will have the opportunity to create scalable, safe, and reliable agentic solutions that transform how we work. We value your expertise in building multi-agent systems and your passion for collaborating across teams. At our company, you can grow your career, expand your skills, and make a meaningful impact. Be part of a team that thrives on innovation and continuous improvement. \n As an AI Engineer in our Agentic AI Solutions team, you will design, build, and deploy autonomous and assistive AI agents that streamline complex workflows. You will collaborate with cross-functional partners to translate operational needs into robust multi-agent systems, leveraging advanced frameworks and technologies. Your work will directly impact our business by delivering scalable and reliable AI solutions. We foster a culture of innovation, learning, and teamwork, where your contributions are valued and your growth is supported. \n Job Responsibilities: \n\n • Architect, develop, and productionize autonomous and assistive AI agents to enhance operations.\n, • Design multi-agent systems, including role definition, tool integration, planning, memory, and workflow orchestration using modern agent frameworks.\n, • Implement Retrieval-Augmented Generation (RAG) pipelines and semantic search with vector databases, including indexing, retrieval policies, and evaluation.\n, • Build and integrate agent tools and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing and error handling.\n, • Practice advanced prompt engineering and implement output validation and guardrails to reduce hallucinations.\n, • Design microservices-based architectures and orchestrate multi-step workflows; instrument agents for tracing, metrics, and feedback loops.\n, • Partner with stakeholders to define requirements, design intuitive human-AI interfaces, and deliver measurable business impact.\n, • Analyze data to inform agent capabilities, optimize retrieval, and drive data-driven decision-making; conduct A/B tests and performance evaluations.\n, • Mentor and guide team members on agent frameworks, LLM usage, safety, and best practices.\n\n Required Qualifications, Capabilities, and Skills: \n\n • Advanced degree in Computer Science, Data Science, Machine Learning, or related field.\n, • Experience building and deploying agentic AI applications in production environments.\n, • Expertise with ML frameworks such as PyTorch, TensorFlow, and scikit-learn.\n, • Proficiency in Python; experience writing comprehensive tests and building evaluation harnesses for agents and prompts.\n, • Hands-on experience with agent frameworks such as LangChain, CrewAI, AutoGen, LangGraph.\n, • Knowledge of generative models including transformers, GANs, VAEs, and diffusion models.\n, • Understanding of data preprocessing, feature engineering, and model/agent evaluation techniques.\n, • Familiarity with cloud platforms and containerization technologies.\n, • Strong problem-solving skills and ability to work independently and collaboratively.\n, • Effective communication skills for technical and non-technical audiences.\n\n Preferred Qualifications, Capabilities, and Skills: \n\n • Experience in financial services, especially investment banking operations.\n, • Experience fine-tuning small language models with approaches like LoRA, QLoRA, DoRA; quantization and distillation.\n, • Familiarity with prompt optimization frameworks and building prompt pipelines and evaluation suites.\n, • Experience with distributed computing, data sharding, and performance optimization.\n, • Hands-on experience with AWS services related to AI deployment and workflow orchestration.\n\n Why Join Us? \n We offer a competitive salary and benefits package, opportunities for professional growth, and a collaborative, innovative environment focused on responsible AI. You will work on impactful projects that shape the future of finance and have the chance to make a real difference. \n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. ABOUT THE TEAM \n J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with QBE Insurance to connect them with exceptional professionals for this role. \n Primary Details \n Time Type: Full time \n Worker Type: Employee \n Data Modeller – EO \n Location: London Type: Permanent, full time Flexible working: Happy to talk flexible working \n The Opportunity \n QBE Europe is recruiting a Data Modeller to join the EO Data & Analytics function. This role supports the ongoing transformation of Data, Analytics and AI by providing critical expertise across our data domains (including finance, actuarial, and claims), ensuring consistency, scalability, and alignment with strategic initiatives. \n The Data Modeller is responsible for defining, governing, and evolving enterprise data models across QBE's core data platforms. The role also contributes to solution design activities, ensuring that business requirements are translated into scalable, maintainable, and strategically aligned data solutions that support QBE's target architecture. \n Having the right to work in the UK is a requirement for this role. QBE may consider sponsorship at its discretion. \n About QBE \n At QBE, we get to the heart of what matters for our customers. And we do it all with a human touch. \n We’re an international insurer with more than 13,000 people working across 26 countries – which means we’re big enough for your ambitions, yet small enough for you to make a real impact. It’s an exciting time. We’re building momentum towards our vision to become the most consistent and innovative risk partner. \n What if you could have a positive impact – at work and in the world? As part of the QBE team, you’ll get to spend every day working with people who are passionate, talented and kind. \n Your New Role \n Data Modelling & Solution Design Leadership \n\n • \n Lead the design and maintenance of conceptual, logical, and physical data models \n\n\n • \n Contribute to end-to-end solution design activities, ensuring data architecture and data products align with business and technology objectives \n\n\n • \n Define and enforce data modelling standards and best practices \n\n\n • \n Ensure alignment between current-state and target-state architecture \n\n\n • \n Maintain deep understanding of curated and provisioned data layers \n\n\n • \n Identify and mitigate data design and solution design risks \n\n\n • \n Collaborate with architects and engineers to define scalable and maintainable solution patterns \n\n\n • \n Ensure models and solutions support scalability, performance, security, and regulatory requirements \n\n\n • \n Enable faster, more reliable delivery of data products and business capabilities \n\n Strategic Programme Enablement \n\n • \n Provide data modelling and solution design leadership for strategic initiatives such as Insurance Core Platform (ICP) and Finance Modernisation \n\n\n • \n Support programme teams with solution options, impact assessments, and design decisions \n\n\n • \n Reduce design risk, rework, and onboarding time across programmes \n\n Stakeholder Collaboration \n\n • \n Work closely with and encourage good collaboration with Data Architecture, Engineering, Group Data Office, business stakeholders, and programme delivery teams \n\n\n • \n Translate business requirements into robust data models and solution designs \n\n\n • \n Participate in architecture and design reviews, providing subject matter expertise on data structures, integration patterns, and information management \n\n About you \n\n • \n Extensive experience in enterprise data modelling (Data Vault, dimensional, etc.) \n\n\n • \n Strong knowledge of insurance data domains (Finance, Claims, Actuarial preferred) \n\n\n • \n Experience contributing to solution architecture and solution design within large-scale data platforms \n\n\n • \n Experience working on large transformation programmes \n\n\n • \n Ability to operate as both: \n\n\n • \n Hands-on modeller \n\n\n • \n Strategic advisor and solution design contributor \n\n\n • \n Strong understanding of data integration, data product, and analytical solution patterns \n\n\n • \n Strong stakeholder engagement and communication skills \n\n Benefits \n We offer a range of benefits to help provide holistic support for your work life, whatever your circumstances. As a QBE employee you will have access to and benefit from: \n\n • \n 30 days holiday a year with the option to buy up to 2 additional days. \n\n\n • \n Flexible working - balancing work and life is important so our flexible working opportunities are open to all, this can include part-time, job share and compressed hours. \n\n\n • \n Pension – you are automatically enrolled into the QBE pension plan, which entitles you to receive employer contributions of 10% of your basic salary. \n\n To learn more about benefits of working with us, click Rewarding our people - QBE European Operations \n Awards & Recognition \n We value our employee’s experience with us and are proud to have been recognised for the following awards: \n General Insurer of the Year 2026 at the British Insurance Awards \n\n • \n Insurance Post British Insurance Awards 2026: \n Winner: Commercial Lines Insurer of the Year, \n Winner: Reinsurer of the Year - QBE Re, Winner: ESG, Diversity, Equity and Inclusion Initiative of the Year, Winner: Insurance Personality of the Year - Chris Wallace, Executive Director UK insurance \n\n\n • \n AXCO Global Insurance Awards 2024 Winner: Network Management of the Year \n\n\n • \n Insurance Business UK 5-Star Cyber Awards 2024: QBE rated as a 5-Star Cyber Insurer \n\n\n • \n UK IT Industry Awards 2023 Winner: Green Technology Innovation of the Year \n\n\n • \n Working Dads Employer Awards 2023 Winner: Parental Policies Award \n\n To learn more about our achievements, click here \n Apply now and let’s make it happen! \n If you’re looking for a career that combines your expertise and your empathy, click Apply today. \n Your career. At the heart of it. \n Skills: \n Analytical Thinking, Big Data Engineering, Critical Thinking, Customer Service, Customer Strategy, Data Engineering, Data Fusion, Data Modeling Techniques, Data Science, Intentional collaboration, Machine Learning (ML), Managing performance, Process Improvements, Risk Management, Scrum Methodology \n Application Close Date: 24/07/2026 11:59 PM \n How to Apply: \n To submit your application, click "Apply" and follow the step by step process. \n Equal Employment Opportunity: \n QBE is an equal opportunity employer and is required to comply with equal employment opportunity legislation in each jurisdiction it operates.

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Quantitative Trading & Research (QTR) is an expert group in J.P.Morgan specializing in statistical modelling, data analytics, balance sheet optimization and other quantitative methods to support the Commercial and Investment Bank (CIB). The QTR Securities Services, Payments and CIB Treasury team applies cutting-edge AI/ML techniques to fundamentally transform the way we do business by enabling business revenue growth and efficiency within the CIB organization. \n Job Summary \n As an Associate/ Vice President in the Quantitative Trading & Research (QTR) Securities Services, Payments and CIB Treasury team, you will support the business in tackling their most technically complex business problems. This could range from leveraging LLMs to deliver capabilities at scales never before possible, to developing ML applications that make business-critical predictions, to handling vast data sets using the J.P.Morgan's Cloud capabilities. You will be in tight partnership with the business in identifying their most pressing pain points and iterating towards a solution that really works for them. If you are passionate about solving real-world problems using your quantitative background and experience, this may be just the team for you. \n Job responsibilities \n\n • Work with business leads to develop AI/ML-driven analytics and automation that support their business goals \n Build up a scalable data architecture to handle the large volume of transaction data\n • Automate existing manual processes and build tools to enable the business to optimize their decision making and deposit management\n, • Build sequential decision making tools to optimize the net interest income of the business under various liquidity, capital and balance sheet constraints\n, • Drive projects end-to-end, from brainstorming, prototyping, data processing, data analysis to model development\n, • Make real-world, commercial recommendations through effective presentations to various stakeholders\n, • Leverage data visualization to communicate quantitative insights to help business decision-making\n, • Work closely with colleagues in Quantitative Research, CIB Treasury, Chief Investment Office, Technology and the Chief Data and Analytics Office (CDAO) to drive the CIB data strategy forward\n\n Required qualifications, capabilities, and skills \n\n • Advanced degree (PhD or MS) or equivalent in a quantitative field: Physics, Mathematics, Computer Science, Engineering, etc\n, • Robust understanding of Machine Learning, Statistics, and Mathematics, both in fundamentals as well as in application\n, • Experience in tackling real world data science problems, end-to-end from prototype to production, using Python\n, • Excellent communication skills (both verbal and written) and the ability to present findings to a non-technical audience\n, • \n Passion for learning, sharing knowledge, building collaborations, and getting things done \n\n Preferred qualifications, capabilities, and skills \n\n • Participation in KDD/Kaggle competition, Hackathons or contribution to GitHub\n, • You demonstrate hands-on experience in solving sequential decision making problems\n, • Experience in applying LLMs and/or deep learning methods to solve business problems\n, • Experience in working with Cloud and/or HPC environments\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Lendable to connect them with exceptional professionals for this role. \n About Lendable \n 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: \n\n • \n One of the UK’s newest unicorns with a team of just over 700 people \n • \n Among the fastest-growing tech companies in the UK \n • \n Profitable since 2017 \n • \n Backed by top investors including Balderton Capital and Goldman Sachs \n • \n Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot) \n\n 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. \n 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. \n Join us if you want to \n\n • \n 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 \n • \n Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo \n • \n Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting \n\n About the role \n Personal loans are the fastest-growing consumer credit product in the US - originations increased 26% last year alone to a record high. Americans are actively seeking cheaper, faster, more transparent alternatives to credit card debt and traditional bank loans. \n Having built a market-leading, profitable business in the UK, Lendable launched US Personal Loans in 2022. Four years of building credit models, customer journeys, operational infrastructure and nearly $500m in originations - and the foundation is set. What comes next is the exciting part: aggressive growth into the largest lending market in the world. \n We're hiring a Product Manager to own multiple product areas to support this expansion - defining strategy, shipping features, and driving outcomes end-to-end. \n What you'll be doing \n This isn't a "write tickets and attend standups" PM role. You'll own real problems such as: \n\n • \n Getting our proprietary credit models into production - working with data science to turn research into real lending decisions \n • \n Designing and personally building automations that make our operations team dramatically more efficient \n • \n Using data to ideate the most valuable initiatives that could improve credit quality, reduce losses, help the customer, or grow volume \n • \n Figuring out how best to use LLMs to intelligently aid with customer service, servicing, collections \n • \n A/B testing customer journeys from application through to servicing - finding what actually moves conversion, satisfaction, and repayment \n • \n Improving the post-origination experience - payments, customer support, and everything that happens after a loan is funded \n • \n Leading the team, aligning and motivating everyone around you, continuously improving the tools and processes we use to deliver at speed \n\n Your team \n You'll report to the Head of Product and collaborate closely with the Managing Director of US Loans. You'll join three other PMs and work most closely with: \n\n • \n ~14 engineers (mostly backend), split across London and Europe \n • \n A data science team (2–3 people) building credit and pricing models \n • \n A credit risk team (~4 people) - some of your closest collaborators \n • \n A growth team (1-2 people) focused on acquisition \n • \n Operations agents - you'll build the tools that make their work better \n\n The team spans our London office, European remote engineers, and our Arlington, Virginia office near DC. \n AI at Lendable - we're serious \n We want to build the most AI-forward financial services company in the world. \n Our PMs don't just manage products. They use AI to push the boundaries of what one person can achieve. Today, PMs at Lendable write python and SQL to generate analytical insights that used to need teams of analysts. They commit PRs to production for straightforward features. They build their own agent workflows to automate repetitive work. \n The PM role here is genuinely expanding in all directions, and we expect you to be excited about this. You've been tinkering already - side projects, personal agents, AI-assisted analysis, building tools with Claude Code or similar. You don't wait to be told what AI can do; you've been finding out yourself. \n If you want to work somewhere that treats AI as a force multiplier for ambitious people - not a bullet point on a slide deck - this is it. \n What we're looking for \n\n • \n 3+ years in Product, Strategy, or Analytics; at least 1 in a PM role \n • \n 1+ years in fintech, financial services, or a strong grasp of lending and credit \n • \n You’re a highly curious, systems thinker who connects dots and thinks through end-to-end impact \n • \n You've built with AI - agents, workflows, code generation, analysis. Show us what. \n • \n Track record of shipping products that moved real business metrics \n • \n Very comfortable with data, analysis and SQL - you know what questions to ask, and you answer them yourself \n • \n Bonus: high-growth startup or scale-up experience \n\n Don’t worry if you don’t quite meet all of these criteria, we’d love to have a chat with any great candidates! \n Your objectives \n\n • \n You break complex problems into shippable pieces \n • \n You decide under ambiguity and own the outcome \n • \n You communicate crisply - to the MD, to engineers, in a spec \n • \n You build cross-functional relationships and pull the right people together \n • \n You move fast, default to action, and course-correct when needed \n\n Compensation \n\n • \n Strong base salary benchmarked to market, scaled to your experience and level \n • \n Equity vesting over four years. Lendable has been profitable since 2017 - one of very few fintechs globally that can say that - and is building towards what comes next. \n\n Interview process \n We respect your time and move quickly: \n 1. Intro call (remote) - 30 min with our talent team (~Week 1) \n 1. Product chat (remote) - 45 min with the Head of Product to discuss your background and how you think about product (~Week 2) \n 1. Take-home exercise (remote) - a practical product challenge in your own time, followed by a video debrief (~Week 2-3) \n 1. Final round - typically CPO, US Loans MD, and Engineering Manager, Head of Product (~Week 3) \n Life at Lendable \n\n • \n Winning team: the opportunity to scale up one of the world’s most successful fintech companies \n • \n Flexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sites \n • \n Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls \n • \n Health coverage: support for your physical and mental wellbeing, including private health cover \n • \n Retirement & savings: long-term financial wellbeing through retirement savings plans \n • \n Employee referral programme: earn a competitive bonus when you refer successful new team members \n • \n Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locations \n • \n Sustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locations \n\n Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner. \n Check out our blog!

hackajob is collaborating with Google to connect them with exceptional professionals for this role. \n As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work. As a Research Scientist, you'll setup large-scale tests and deploy promising ideas quickly and broadly, managing deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies. From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real-world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more. \n As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes all over the world. \n DeepMind’s Reinforcement Learning (RL) team is a long-standing and tight-knit team of collaborative scientists and engineers. We address research issues in reinforcement learning. We design, refine, and scale RL algorithms and deliver meaningful scientific or product impact. Over the past decade, members of the RL team have been instrumental in building DQN, AlphaGo, Rainbow, AlphaZero, MuZero, AlphaStar, AlphaProof and Gemini. \n Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. \n We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. \n Minimum qualifications: \n\n • PhD in Machine Learning, or equivalent practical experience.\n, • 2 years of experience implementing algorithms within research codebases.\n, • Experience conducting research in reinforcement learning, including contributions to peer-reviewed publications.\n, • Experience designing and executing end-to-end experiments, including setup, analysis, and interpretation.\n\n Preferred qualifications: \n\n • Experience with advanced reinforcement learning topics, such as RL for sequence models, post-training, preference-based learning, or agentic systems.\n, • Familiarity with modern research stacks (e.g., JAX/Flax or PyTorch) and experience scaling experiments.\n, • Ability to be comfortable with scaling methodologies, evaluation techniques, and diagnosing complex failure modes.\n, • Ability to push projects forward, prioritize effectively, and take initiative.\n, • Strong experimental judgment, including selecting appropriate baselines and designing insightful ablations.\n, • Excellent communication skills, with a focus on clear presentation of research results.\n\n Responsibilities: \n\n • Propose and pursue novel research directions by formulating and testing hypotheses.\n, • Implement algorithmic ideas and conduct end-to-end experiments, analyzing results and iterating on findings.\n, • Design evaluations and ablations to answer key questions and drive research decisions.\n, • Build and improve infrastructure to enable research at scale.\n, • Communicate research findings through write-ups, presentations, and publications, while fostering a culture of high standards and constructive feedback.\n

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role. \n JOB DESCRIPTION \n Help accelerate how teams across JPMorganChase use artificial intelligence to deliver measurable impact. In this role, you will shape firmwide learning, awareness, and change efforts that build practical AI literacy and support responsible adoption. You will partner with stakeholders across the Commercial & Investment Bank to create clear, engaging enablement experiences and communications. You will also help make AI tools and information easier to find and understand through a centralized inventory. If you enjoy combining learning, communications, and emerging technology, this is a high-visibility opportunity to grow your impact. \n As an AI Knowledge Enablement Associate in the AI Enablement team within the Commercial & Investment Bank, you will support the design, delivery, and scaling of AI upskilling, awareness, and change management initiatives. You will help employees understand where AI shows up in day-to-day tools and how to adopt AI capabilities responsibly. You will maintain a centralized AI Tool Inventory and support a structured communications approach to AI across the Commercial & Investment Bank. You will work across a diverse set of partners to drive adoption, engagement, and continuous improvement. You will help translate complex AI, technical, and regulatory topics into clear, practical materials that teams can use. Job Responsibilities \n\n • Support and deliver cross Commercial & Investment Bank AI upskilling initiatives from design through implementation and continuous improvement\n, • Deliver AI training that builds foundational AI literacy\n, • Support change management activities that promote responsible AI adoption and embed AI into everyday ways of working\n, • Develop and maintain an AI Tool Inventory as a one-stop shop for information on AI tools, ensuring content stays accurate, current, and aligned with firm policies\n, • Conduct analysis to identify gaps in existing AI upskilling and awareness initiatives and support targeted solutions to close gaps\n, • Draft and refine communications materials, including intranet content, newsletters, and leadership talking points, to support a multi-layered AI communications strategy\n, • Track progress and engagement across AI knowledge initiatives, reviewing participation, feedback, and adoption data to identify where additional interventions are needed\n\n Required Qualifications, Capabilities, and Skills \n\n • Experience in communications and/or upskilling, learning, and development roles\n, • Foundational knowledge of artificial intelligence, machine learning, and generative artificial intelligence, including basic prompt engineering concepts, key risks, and responsible AI principles in a regulated environment\n, • Strong verbal and written communication skills, with ability to translate complex AI, technical, and regulatory topics into clear, concise, practical materials\n, • Proven ability to deliver multiple initiatives to conclusion across a diverse group of partners while managing competing priorities\n, • Proficiency in Microsoft Excel and PowerPoint, including ability to analyze data and produce clear, well-structured materials\n, • Strong organization, attention to detail, and learning agility, with ability to quickly assimilate new AI tools, policies, and regulatory developments\n, • Bachelor's or Master's degree in a relevant field or equivalent practical experience\n\n Preferred Qualifications, Capabilities, and Skills \n\n • Experience with AI and knowledge of financial services\n\n ABOUT US \n J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. \n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our \n FAQs \n for more information about requesting an accommodation. \n ABOUT THE TEAM \n J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n The Platform Engineering Tribe: \n We are the driving force behind Wise, making sure everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and confidently. Our expertise spans Data, Machine Learning, Incident and Risk Management, Hardware, and System Efficiency, all designed to foster an unparalleled Engineering Experience. \n The Role: \n We are seeking an experienced Data Analyst to join our Platform Engineering and Security team. This role is pivotal in shaping how we manage compliance and risk through data. You will play a key role in building robust data pipelines to support continuous control monitoring while using insights to drive strategic opportunities within Wise's secure and compliant framework. \n Why Should You Join Our Team? \n\n • \n Data-Driven Impact: You'll have the opportunity to redefine how we approach compliance and risk within the organisation, leveraging data to highlight areas for improvement and efficiency. \n • \n Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains. \n • \n Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains for when you need support. \n\n What will you be working on? \n\n • \n Data Engineering → Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management. \n • \n Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across security domains (such as Access Management, Vulnerability Management, Data Governance, etc.) to translate abstract compliance and testing requirements into concrete, measurable metrics, SLAs, and continuous monitoring dashboards. \n • \n Compliance and Risk → Define KPIs: Collaborate with stakeholders to define and refine key performance indicators necessary for monitoring compliance and risk for our IT systems, ensuring data accuracy and relevance. \n • \n Opportunity Identification → Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation. \n\n Qualifications \n Technical Expectations: \n\n • \n Proficient in Python, with experience in automation and building data pipelines. \n • \n Strong expertise in working with tools like DBT and Airflow for ETL processes. \n • \n Skilled in using REST APIs to develop and manage data integrations. \n • \n Proficient in SQL and familiar with data visualization tools such as Looker, Superset, PowerBI, or Tableau. \n • \n Bonus: Familiarity with security frameworks (e.g., SOC 2, ISO 27001, NIST), and the concept of continuous control monitoring (CCM). \n\n Soft Skills: \n\n • \n Analytical Mindset: Strong ability to interpret data, identify trends, and drive data-based decision-making. \n • \n Critical Thinking: Help stakeholders to define what to measure, ensuring the resulting data accurately reflects control operating effectiveness. \n • \n Strategic Thinking: Excellent ability to build trust and influence across various teams, conveying complex concepts clearly to influence diverse stakeholders. \n • \n Problem-Solver: Proactively identifies and implements solutions to improve data processes and analytics. \n\n Additional Information \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Wise to connect them with exceptional professionals for this role. \n Company Description \n Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. \n Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. \n As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere. \n More about our mission and what we offer. \n Job Description \n We’re looking for a Lead Data Scientist to join our growing CRM Team in London. This role will give you the opportunity to have a direct impact on how millions of Wise customers find the perfect products for their needs at exactly the right moment, while evolving your skills by owning production-level machine learning projects from end to end. \n This is an individual-contributor (IC) role — you'll own technical direction and delivery, not people management. \n Your mission: \n Wise has pioneered new ways for people to move and manage money across borders. Once someone joins Wise, our CRM tribe makes sure every customer discovers the products that actually help them — a card if they travel, multi-currency balances if they hold FX, a current account if they use Wise for day to day banking. Your mission is to develop a learning system that recommends the right product, to the right customer, at the right moment — and measures whether it worked. \n Here’s how you’ll be contributing to CRM: \n\n • \n You will design and maintain the data pipelines and ML-ready tables that power feature generation, model training, inference and impact measurement – with clear ownership of data quality, reproducibility and training-serving consistency. \n • \n You will help the CRM tribe find the biggest opportunities for growth and personalisation across the customer lifecycle — onboarding, engagement, activation, retention. \n • \n You will own predictive/uplift or recommendation models that decide what to recommend and who to talk to, powering personalised CRM journeys end-to-end. \n • \n You will model customer behaviour, product-usage patterns and CRM engagement (email/push clicks) to identify who's likely to churn, who's ready for their next product, and measure how much value a campaign actually created. \n • \n You will partner closely with Data Analysts, Data Engineers and CRM Campaign Managers, translating models into levers they can use. \n • \n Your average day will include building or maintaining production models, running experiments, evaluating new ideas, and communicating what models can (and cannot) tell us about how and why CRM drives growth. \n\n This role will give you the opportunity to: \n\n • \n Have a direct impact — you will closely partner with the CRM and CRM Analytics team to help ship models that reach every Wise customer through CRM campaigns and personalisation surfaces. \n • \n Own the problems worth solving — you will not just be handed a backlog. You will form strong opinions on where DS creates the most value and convince the people around you to do what is necessary to help. \n • \n Work autonomously - we believe people are most empowered when they can act autonomously. So rather than telling you what to do, you’ll work with your team to create a vision of your own. Of course, you can always gather feedback from smart, curious people across Wise but you’ll have the freedom to make your own calls. \n • \n Be part of a diverse team - You will work in a team of Data scientists, Analysts, Engineers and CRM Managers. \n • \n Be part of our mission to make money without borders the new normal \n\n About you: \n\n • \n You have expert knowledge of Python and are able to make and justify design decisions in your code (packaging, testing, config-driven pipelines). \n • \n You have expert knowledge of SQL and can write, debug and optimise complex queries against a warehouse. \n • \n You have hands-on experience shipping and operating predictive ML models or recommendation systems in production (classification / propensity / churn / next-best-action) — end-to-end from feature pipelines (SQL or feature store) and ML-ready training / scoring datasets, through model registries, batch or real-time inference, and monitoring — with sound data-modelling practices and data-quality checks along the way. You know when to reach for gradient boosting, neural networks, linear models, or a blend. \n • \n You have designed and analysed A/B tests end-to-end — power calculations, choosing the right unit of randomisation, guardrail metrics, interpreting inconclusive results. \n • \n You have a proficient understanding of statistics — sample size, variance, multiple-comparisons, Bayesian reasoning. \n • \n You know how to measure the incremental impact of ML models and CRM interventions end-to-end — defining success and guardrail metrics, designing and powering A/B tests, choosing the right unit of randomisation, quantifying uncertainty, accounting for multiple comparisons, and interpreting inconclusive results to inform business decisions. \n • \n You take end-to-end ownership with a structured, data-driven approach — cutting through vagueness to frame the business problem, prioritising the value you can add, and defining precisely where and how a model fits into the stack. \n • \n You communicate effectively with any audience — translating model choices, uncertainty and trade-offs into decisions non-DS teams (Product, Marketing, CRM Ops, Compliance) can act on, and visualising data clearly along the way. \n • \n You operate beyond your direct team — shaping design decisions on the product or engineering side, mentoring other DS and analysts, spawning and running cross-functional projects through to delivery, educating the wider company on what DS can do, and keeping current with developments in your areas (recommenders, uplift, causal inference). \n\n Some extra skills that are great (but not essential): \n\n • \n You have hands-on experience with sequential and/or deep-learning recommender models — two-tower architectures, transformer-based rankers, or sequence embeddings. \n • \n You have experience with uplift modelling and conditional average treatment effects for personalisation. \n • \n You are familiar with dbt, Snowflake, AWS (S3, SageMaker), Airflow, and Trino / data lake stacks. \n • \n You have prior CRM / marketing / e-commerce ML experience — customer lifecycle segmentation, campaign attribution, contact strategy optimisation. \n\n Office: London, UK \n Salary range: GBP 90.5K-127K yearly gross based on experience and interview outcomes* \n Key benefits: \n\n • \n Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible \n • \n Stock options in a profitable company \n • \n Relocation support \n • \n Generous parental leave \n • \n Pension scheme \n • \n Paid sabbatical \n • \n Loads of development opportunities \n • \n Sports and wellbeing compensation \n • \n A fun work environment with social activities and events \n • \n The opportunity to work with super smart, curious people \n\n Additional Information \n We’re people without borders — without judgement or prejudice, too. We want to work with the best people, no matter their background. So if you’re passionate about learning new things and keen to join our mission, you’ll fit right in. \n Also, qualifications aren’t that important to us. If you’ve got great experience, and you’re great at articulating your thinking, we’d like to hear from you. \n And because we believe that diverse teams build better products, we’d especially love to hear from you if you’re from an under-represented demographic. \n For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. \n We're proud to have a truly international team, and we celebrate our differences. \n Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers. \n If you want to find out more about what it's like to work at Wise visit Wise.Jobs. \n Keep up to date with life at Wise by following us on LinkedIn and Instagram.

hackajob is collaborating with Kainos to connect them with exceptional professionals for this role. \n Join Kainos and Shape the Future \n At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together. \n We believe in a people-first culture, where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration. \n Ready to make your mark? Join us and be part of something bigger. \n JOB PROFILE DESCRIPTION \n Kainos is recognised as one of the UK’s leading AI and data businesses, with a decade-long track record of delivering impactful, production-grade AI solutions for clients across government, healthcare, defence and commercial sectors. Kainos is at the forefront of AI innovation, trusted by Microsoft, AWS, and others to deliver advanced AI and data solutions at citizen scale. \n Our 150-strong AI and Data Practice brings together deep expertise in machine learning, generative AI, agentic AI and data. We are pioneers in responsible AI, having authored the UK government’s AI Cyber Security Code of Practice implementation guide and we partner with leading organisations to ensure AI is deployed ethically, securely and with measurable business value. Our teams are at the cutting edge of AI research, and delivery, it is truly an exciting team to join Kainos as we further grow our AI capability. \n MAIN PURPOSE OF THE ROLE & RESPONSIBILITIES IN THE BUSINESS: \n As a Data Scientist Manager at Kainos, you’ll be responsible for successful delivery of advanced AI solutions leveraging state-of-the-art machine learning, generative and agentic AI technologies. You will drive the adoption of modern AI development and scalable cloud-native architectures. Your role will involve technical leadership, engaging with senior stakeholders to agree architectural principles, strategic direction and system architecture. As a technical leader within Kainos and wider industry, you will foster a culture of innovation, continuous learning, and engineering excellence. \n You will manage, coach and develop a team, with a focus on development of standards and policies, enduring customer relationships and embedding commercial acumen. You will also provide direction and leadership for your team as you solve challenging problems together. \n MINIMUM (ESSENTIAL) REQUIREMENTS: \n\n • \n A minimum of a 2.1 degree in Computer Science, AI, Data Science, Statistics or in a similar quantitative field. \n\n\n • \n Proven experience of leading multi-disciplinary teams to deliver high quality AI/ML solutions. \n\n\n • \n Demonstrable experience of technical leadership for AI delivery including architecture, product design principles and engineering excellence. \n\n\n • \n Have a deep understanding and developing of AI/ML models, including time series, supervised/unsupervised learning, reinforcement learning and LLMs. \n\n\n • \n Experience with the latest AI engineering approaches such as prompt engineering, retrieval-augmented generation (RAG) and agentic AI. \n\n\n • \n Strong Python skills with a grounding in software engineering best practices (CI/CD, testing, code reviews etc). \n\n\n • \n Expertise in data engineering for AI: handling large-scale, unstructured, and multimodal data. \n\n\n • \n Understanding of responsible AI principles, model interpretability and ethical considerations. \n\n\n • \n Strong interpersonal skills with the ability to lead client projects, manage C-level stakeholders and establish requirements/architecture concepts. \n\n\n • \n We are passionate about developing people, you will bring experience in managing, coaching and developing junior members of a team and wider community. \n\n DESIRABLE: \n\n • \n Demonstrable experience with modern deep learning frameworks (e.g. PyTorch, TensorFlow), fine-tuning or distillation of LLMs (e.g. GPT, Llama, Claude, Gemini), machine learning libraries (e.g. scikit-learn, XGBoost). \n\n\n • \n Experience with data storage for AI, vector databases, semantic search and knowledge graphs. \n\n\n • \n Actively contributes to open-source AI projects, research publications and industry events/websites. \n\n\n • \n Familiarity with AI security, privacy, and compliance standards e.g. ISO42001. \n\n Embracing our differences \n At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field. \n Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out. \n We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.

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

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We’re on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do • Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption, • Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy, • Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities, • Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business, • Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines, • Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery, • Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners, • Represent Capital One in external ML/AI technical forums, contributing to industry discussions, • Develop and advocate for strategies to proactively manage technical debt across ML/AI systems, • Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for • Deep expertise in Python and ML engineering, • Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures, • Track record of leading ML/AI technical initiatives across multiple teams, • Strong experience with cloud platforms (AWS, Azure, GCP), • Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG), • Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems, • Experience designing and scaling low-latency, customer-facing ML/AI architectures, • Proven experience setting a multi-team ML/AI technical vision and strategy, • Strong track record of technical leadership and influence without authority, • Experience driving ML engineering standards and best practices across organisations, • Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems, • Experience leveraging enterprise platforms to deliver business use cases at scale, • Experience of steering Communities of Practice or technical forums, • Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you • Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation, • We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers), • Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave, • Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: • REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies, • OutFront - to provide LGBTQ+ support for all associates, • Mind Your Mind - signposting support and promoting positive mental wellbeing for all, • Women in Tech - promoting an inclusive environment in tech, • EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry, • Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact _ All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to _ Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

AI ACCELERATORMost diseases are still poorly understood at a biological level. Despite decades of research, the causal mechanisms driving many conditions remain unclear, limiting our ability to identify the right targets, design the right interventions and bring the right medicines to patients. The AI Accelerator exists to change that. Based in London and sitting within Computational Innovation (@computationalinnovation), a global organisation spanning computational biology, human genetics, data excellence and AI, the Accelerator’s mission is to build production-quality AI capabilities that deepen our understanding of disease biology and increase probability of success. We do this by applying neural-based methods across the biomedical data landscape to integrate heterogeneous, multimodal data sources, infer biological relationships and embed causal thinking into what we build. The goal is not just to predict but to explain and understand why disease occurs. It could be electronic health records and medical imaging to support patient segmentation. It could be ‘omics data to identify novel therapeutic targets. It could be predicting transcriptional change for a given disease-causing variant. It could be simulating the effect of modulating a target of interest. A core component of the AI Accelerator is AI Systems, a team focused on designing, building and deploying multimodal foundation models across the vast biomedical data landscape that will be used within Computational Innovation to enhance and accelerate portfolio decision-making. THE POSITIONWe are seeking a senior leader of AI Systems to join Computational Innovation’s AI Accelerator (@computationalinnovation). In this role you will build and lead a team of world-class AI scientists and ML engineers who can design novel architectures that can train and infer at scale while respecting the complexity and structure of biomedical data, engineer the most promising models and model components and deliver production-quality models and model artefacts for deployment to computational biologists and human geneticists for portfolio impact. The successful candidate will be part of the AI Accelerator Leadership Team and play a key role in shaping the AI strategy and delivering on the mission. This is a unique opportunity to be part of a critical strategic initiative for a pharmaceutical company that invests heavily in research and development to discover and develop innovative therapies that can improve and extend lives in areas of high unmet medical need. Key Responsibilities Build and lead a team of world-class AI scientists and ML engineers focused on provisioning state of the art, foundational AI capabilities that support disease understanding, target discovery and safety Build out a senior scientific leadership layer of domain experts below that takes on defined technical problems, owns the solution approach and leads teams to deliver them Sit on the AI Accelerator Leadership Team, and help shape the Accelerator’s technical strategy and set the innovation and capability build direction to achieve AI Accelerator and CI goals through appropriate resourcing Drive the team from architecture design through training and engineering to production quality models and model artefacts ready for deployment, setting standards for model performance across AI Systems initiatives and partnering with AI Reasoning to build trust in model outputs to enable confident decision-making Build and leverage partnerships with academic and third-party collaborators as key force multipliers Build the team’s external reputation through publications and a presence at top-tier ML conferences to attract and retain top talent, while remaining true to the mission of helping patients Requirements PhD in Machine Learning, Computer Science, Computational Biology or related field, with an understanding of foundation model architectures and what it takes to build performant models that scale Strong track record building and leading high-performing technical teams that build and productionise biomedical AI capabilities for pharmaceutical research and development and experience leading leaders Experience shaping AI innovation strategy and translating strategy into execution, with appropriately resourced teams, turning research into real-world impact Excellent stakeholder management skills, underpinned by a knowledge of pharma R&D to understand their needs and the ability to translate AI work to those outside the AI specialism Previous pharma R&D experience is advantageous This is a hybrid role with approximately 4 days a week in the office.WHY THIS IS A GREAT PLACE TO WORKBoehringer Ingelheim has been recognised as a Top Employer in the UK, demonstrating our commitment to building an exceptional workplace through strong people practices and supportive HR policies.To learn more about why BI is a great place to work, visit:

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market.What unites Anaplanners across teams and geographies is our collective commitment to our customers’ success and to our Winning Culture.Our customers rank among the who’s who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform.Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebratingour wins – big and small.Supported by operating principles of being strategy-led, values-based and disciplined in execution, you’ll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let’s build what’s next - together!Role OverviewWe are seeking a ML Ops Technical Lead to spearhead our infrastructure, cost-optimisation, and deployment strategies. You will manage a talented team of DevOps engineers while remaining deeply technical and hands-on. Your primary mission is to build, scale, and secure the foundational platforms for our machine learning (ML) and generative AI (GenAI) models while maintaining financial accountability.Your ImpactTeam Leadership & Collaboration: Lead and manage a dedicated DevOps team, mentoring both junior and senior engineers while collaborating closely with Data Science and Engineering leaders.Infrastructure Strategy & Automation: Define the infrastructure roadmap for AI/ML workloads and automate provisioning across cloud environments using Infrastructure as Code (IaC).MLOps & LLMOps Engineering: Architect, maintain, and optimise robust MLOps/LLMOps pipelines and CI/CD frameworks for continuous model deployment.GenAI Production Deployment: Deploy Large Language Models (LLMs) into production environments, ensuring high availability, low latency, and optimal performance for GenAI applications.FinOps & Budget Management: Establish FinOps frameworks to track, allocate, and forecast AI infrastructure spend, managing high-cost GPU/CPU cloud budgets.Resource Efficiency & Unit Economics: Implement auto-scaling, spot instances, and down-scaling policies to eliminate waste, while providing full visibility into the unit economics of training and serving LLM models.Observability & Incident Response: Establish 24/7 incident response, telemetry, and observability metrics to monitor system performance, model drift, and data pipelines.Data Governance & Security: Enforce strict data governance, platform security, and compliance protocols across all AI/ML infrastructure.Your SkillsExtensive production experience deploying and supporting ML systems.Proven track record of leading engineering teams.Demonstrated experience with Generative AI and LLM deployment patterns.A proven history of reducing cloud spend on large-scale AI clusters.Experience with tools like MLflow, Kubeflow, LangSmith, or Phoenix.Expertise in AWS/GCP/Azure cost tools, Kubecost, or Cloudability.Extensive background of Kubernetes (K8s), Docker, and service meshes.Expert knowledge of Terraform, Ansible, Jenkins, or GitHub Actions.Proficient in Python, Bash, or Go.Familiarity with Triton Inference Server, vLLM, or Hugging Face TGI.Our Commitment to Diversity, Equity, Inclusion and Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren’t just words on paper – this is what drives our innovation, it’s how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment DisclaimerIt has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person. Send job offers via email. All offers are first extended verbally by a member of our internal recruitment team whenever possible and then followed up via written communication. All emails from Anaplan would come from an @anaplan.com email address. Should you have any doubts about the authenticity of an email, letter or telephone communication purportedly from, for, or on behalf of Anaplan, please send an email to people@anaplan.com before taking any further action in relation to the correspondence. Candidate data processed during our recruitment activities is handled in accordance with our Candidate Privacy Notice. This may include the use of artificial intelligence or automated tools to assist our team in evaluating qualifications.

Job Title: AI & Data Architect / AI & Data Senior Architect Location: London Career Level: Manager (CL7)Salary: Competitive salary and package dependent on experience Please Note: Any offer of employment is subject to satisfactory BPSS and SC security clearance which typically requires 5 years continuous UK address history usually including no periods of 30 consecutive days or more spent outside of the UK and declaration of being a British passport holder with no dual nationalism at the point of application.Note: The above information relates to a specific client requirementAccenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services. With our thought leadership and culture of innovation, we apply industry expertise, diverse skill sets and next-generation technology to each business challenge. We believe in inclusion and diversity and supporting the whole person. Our core values comprise of Stewardship, Best People, Client Value Creation, One Global Network, Respect for the Individual and Integrity. Year after year, Accenture is recognized worldwide not just for business performance but for inclusion and diversity too. “Across the globe, one thing is universally true of the people of Accenture: We care deeply about what we do and the impact we have with our clients and with the communities in which we work and live. It is personal to all of us.” – Julie Sweet, Accenture CEOAs a team:Accenture’s Secure Transformation Services team provides the UK with digital expertise on sovereign transformation where it matters most, making a meaningful impact across government, defence, Critical National Infrastructure, and regulated industries. With proven experience in sovereign, mission-critical settings, our team specialises in developing and delivering secure solutions that make our country safer, unlocking value for citizens and customers. You'll work on innovative projects with colleagues to drive collaboration from strategy through to implementation. You will be using the latest technologies, with a particular focus on AI and GenAI, with clients to help them get to the next level. We nurture technologists and industry specialists who have passion for our clients, curiosity, and an appetite to learn. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you’re looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting-edge technologies and will have the opportunity to develop a wide range of new skills on the job. In our team you will:Work for public sector and adjacent clients supporting their missions associated with UK sovereign transformation Work with clients through strategy, solution and delivery, using bespoke methods to research, test and deploy securely at scale Learn and grow - we actively encourage and support continuous learning and certification Serve as a cloud, data, and AI evangelist, educating customers on the value such technologies and approaches can bring to transform their business As an AI & Data Architecture Senior Manager, you will:Align complex business objectives with scalable, secure cloud solutions, ensuring alignment with organisational goals Drive innovation across data, AI, security, and multi-cloud strategies, enabling digital transformation Design use-case and platform technology architectures to solve key business challenges using reference and cutting-edge technologies and architectural patterns Work in multi-disciplinary teams to refine and deliver architecture, supporting the delivery from inception through to production Provide technical leadership to shape technology strategy and solution design, managing and supporting other architects and engineers Contribute to the STS and wider Data & AI community, sharing insights and experience guiding the creation and establishment of standard patterns and templates for emerging technologies based on client delivery experience and research Drive innovation across data, AI, security, and multi-cloud strategies, enabling digital transformation Mentor managers and consultants, building technical capability and leadership within the team Engage senior stakeholders, presenting cloud strategies and architectures to executive boards and governance forums Priority SkillAI We are looking for experience across several of the following skills and experience:AI/ML architectural patterns, best practices, and platform technologies Experience designing AI/ML-driven solutions and data lifecycle management Data solution design, selecting the appropriate cloud-native services for data processing, management, and storage, with an emphasis on serverless microservices Cloud infrastructure (networking, security, monitoring, scaling) Experience being a hands-on data architect (only when needed) with programme languages like Java, Scala, Python, or architecture-as-code such as linkml, turtle, owl Experience with both open source and vendor data platforms Experience with data architecture, architectural concepts, methodologies and approaches Experience with microservices architecture Experience of designing for both structured and unstructured data As a technology consultancy, we look for people who can deliver both exceptional technical solutions and work as true partners to the organisations we support. To do this you must be able to: Communicate effectively verbally and in writing, demonstrated through: Effectively explain complex technical solutions to a non-technical audience Writing meaningfully to deliver clear information, and guidance Giving impactful presentations, articulating clearly key points Demonstrate critical thinking by: Analysing and evaluating information Using information gathered to present solutions and reach decisions Displaying familiarity and comfort with a breadth of technologies (appropriate to the level of the role) and an appreciation of how they can be combined and applied to solve customer problems Work in partnership with others to: Effectively manage both internal and external stakeholders to ensure synergy Collaborate meaningfully with all parties to ensure outcomes are reached effectively Whilst having experience in a consultancy is beneficial, demonstrable experience in working with clients/external partners in other settings will always be considered. Set yourself apart:Foundational certifications in AWS and/or GCP Specialist certifications in AWS and/or GCP on data engineering and/or AI/ML (e.g., AWS Certified Machine Learning – Specialty) What’s in it for youAt Accenture in addition to a competitive basic salary, you will also have an extensive benefits package which includes up to 30 days’ vacation per year, private medical insurance and 3 extra days leave per year for charitable work of your choice!Flexibility and mobility are required to deliver this role as there will be requirements to spend time onsite with our clients and partners to enable delivery of the first-class services we are known for.About AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.SummaryLocation: LondonType: Full time

Company DescriptionWork with Us. Change the World.At AECOM, we're delivering a better world. Whether improving your commute, keeping the lights on, providing access to clean water, or transforming skylines, our work helps people and communities thrive. We are the world's trusted infrastructure consulting firm, partnering with clients to solve the world’s most complex challenges and build legacies for future generations.There has never been a better time to be at AECOM. With accelerating infrastructure investment worldwide, our services are in great demand. We invite you to bring your bold ideas and big dreams and become part of a global team of over 50,000 planners, designers, engineers, scientists, digital innovators, program and construction managers and other professionals delivering projects that create a positive and tangible impact around the world.We're one global team driven by our common purpose to deliver a better world. Join us.Job DescriptionIn AECOM’s AI Engineering team your code will directly shape the physical world around us. We build AI-driven technology that revolutionises how infrastructure and buildings are designed and engineered; reducing waste, cutting CO₂, and making the built environment more efficient and sustainable. This is where software has measurable, real-world impact. With our AI Engineering team we’ve created a unique setup: a lean, highly technical team with the speed and ownership of a start up, backed by the scale, resources, and domain expertise of one of the world’s leading engineering firms. There has never been a better time to be at AECOM. We are leading the industry’s AI transformation, and with our people and technology we deliver excellence and innovate with impact. We invite you to bring your bold ideas and big dreams to solve the world’s most complex challenges. We're one global team driven by our common purpose to deliver a better world. Join us. What You’ll Do As a Senior Software Engineer, you’ll work at the intersection of software engineering and machine learning operations. We’re hiring multiple engineers with complementary strengths across platform engineering and ML systems. No single person is expected to cover everything. Depth in one area, strong fundamentals, and the ability to collaborate effectively matter more than perfect overlap. Part of the work focuses on core platform engineering: designing and building services, evolving system architecture, improving reliability, resolving issues, and making sound trade-offs in areas such as database design and schema evolution. Another part focuses on ML systems: ensuring models run reliably, efficiently, and at scale, turning research into production-ready tools. This includes deploying, monitoring, and optimizing AI workloads using Python and solid software engineering practices. QualificationsMust-Have Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Solid programming skills in Python (plus experience with frameworks such as FastAPI, Flask, or Django). Hands-on experience with ML model deployment and monitoring in production. Knowledge of containerization (Docker). Experience building CI/CD pipelines (GitHub Actions). Experience working within startups / scaleups. Strong communication skills and a collaborative mindset. Knowledge of Agile delivery models (Scrum/Kanban) and software development best practices. Hands-on experience building production-grade systems. Preferred Skills Understanding of optimizing both CPU-bound and GPU-bound workloads. Knowledge of monitoring and observability tools (e.g. Prometheus, Grafana, ELK stack). Experence with Infrastructure as Code (Terraform). Experience with Azure. Identifying and resolving bottlenecks in distributed machine learning workloads (knowledge of low-level languages and CUDA library is a plus). Experience in building design automation products within the construction industry. Additional InformationOur Hiring Process 25-minute screening call Take-home challenge: A hands-on task to assess your problem-solving and technical skills Combined technical and cultural interview (in-person) Whiteboard Interview: 1-hour with 2 of our engineers to discuss your solution to the take-home challenge Culture fit: 30-minute meeting with our leadership team Why Join Us? Work on real-world problems where AI creates measurable impact. Be part of a team where your work matters, and your ideas become real. Collaborate with sharp, driven colleagues in a culture of trust, ownership, and high standards. Contribute to making the built environment smarter and more sustainable. #LI-RD1At AECOM, we are committed to maintaining a secure and trustworthy recruitment process and take any fraudulent hiring activity seriously. To support this commitment, all newly hired employees are required to attend an in-person Day 1 onboarding at an AECOM office location as a condition of employment.About AECOMAECOM is proud to offer comprehensive benefits to meet the diverse needs of our employees. Depending on your employment status, AECOM benefits may include medical, dental, vision, life, AD&D, disability benefits, paid time off, leaves of absences, voluntary benefits, perks, flexible work options, well-being resources, employee assistance program, business travel insurance, service recognition awards, retirement savings plan, and employee stock purchase plan.AECOM is the global infrastructure leader, committed to delivering a better world. As a trusted professional services firm powered by deep technical abilities, we solve our clients’ complex challenges in water, environment, energy, transportation and buildings. Our teams partner with public- and private-sector clients to create innovative, sustainable and resilient solutions throughout the project lifecycle — from advisory, planning, design and engineering to program and construction management. AECOM is a Fortune 500 firm that had revenue of $16.1 billion in fiscal year 2025. Learn more at aecom.com.What makes AECOM a great place to workYou will be part of a global team that champions your growth and career ambitions. Work on groundbreaking projects—both in your local community and on a global scale—that are transforming our industry and shaping the future. With cutting-edge technology and a network of experts, you’ll have the resources to make a real impact. Our award-winning training and development programs are designed to expand your technical expertise and leadership skills, helping you build the career you’ve always envisioned. Here, you’ll find a welcoming workplace built on respect, collaboration and community—where you have the freedom to grow in a world of opportunity. We are a Disability Confident Employer and will offer an interview to applicants who have a disability or long-term condition, who meet the minimum/essential criteria for the role. Please let us know using this email address ReasonableAccommodationsUKI@aecom.com if you would like to apply through the Disability Confident Interview Scheme.All your information will be kept confidential according to EEO guidelines.SummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Construction

Software Engineer – Algo Trading150,000Leading London-based trading firm has an outstanding opportunity for a Software Engineer to join their low latency trading team.Our client quant prop trading and market-making business. They are currently looking to expand their high and intraday trading presence across FX, equities and commodities.The Software Engineer will:Work closely with the Head of Trading and the Quant Team and assist in the design and development of new trading algorithms, mainly Java but also C++Help engineer a new greenfield low latency trading platformWork on connectivity to Financial ExchangesImprove/maintain existing strategiesDevelop utility applications and excel tools to help with trading activitiesWork with traders, understand requirements for new applications and strategies to develop and also resolve issues if anyThis is an opportunity for someone that wants to work with a smart people in a collaborative environment that is solely focused on cross asset trading.They avoid the bureaucracy of larger organisations, and keep their management structures flat. Decisions are made efficiently; changes are implemented quickly.It’s a friendly, open place where people are motivated because they enjoy what they’re doing.Software Engineer MUST have:Computer Science or Machine learning BSc or Masters or PhD from a top 40 University GloballyExcellent Java and/or C++ experienceSQLGood understanding of general programming concepts, diligent coder.Intertest in capital markets/crypto market making a plusThis is an outstanding opportunity for a Software Engineer to join a growing trading business at a time of significant interesting growth within the sector. You will gain massive exposure to High Frequency Trading.My client is based in the City of London

About WorkatoWorkato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit Why join us?Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you!Also, feel free to check out why:Business Insider named us an “enterprise startup to bet your career on”Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the worldDeloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North AmericaQuartz ranked us the #1 best company for remote workersResponsibilitiesWe are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role, you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.In this role, you will also be responsible to:Implement agent-based AI solutions using the Workato Agentic AI platform.Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows.Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.Continuously monitor and improve AI system performance, ensuring efficiency and reliability.Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.RequirementsQualifications / Experience / Technical SkillsBTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.A total of 4+ years of relevant experience in design, development, and implementation.Proven experience in AI engineering, with a focus on agent-based systems.Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.Nice to haveHands-on experience with any of the following: Java, Python, or Ruby.Experience working with integration platforms such as TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools.Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure.Experience with in Workato.Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo.Soft Skills / Personal CharacteristicsStrong collaboration skills, ability to adapt to a dynamic start-up environment, with a passion for making an impactStrong critical thinking, analytical skills with an entrepreneurial and proactive mindsetAbility to effectively prioritize tasks and manage time, even under high-pressure situationsStrong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audienceFast learner who can independently conduct extensive research, and synthesize ideas, information and options quicklyBe proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge(REQ ID: 2750)

Job DescriptionArbuthnot Latham has been associated with banking since 1833. We combine private and commercial banking, wealth planning and investment management. We believe in traditional relationship and service-led banking powered by modern technology.Job purpose To develop and maintain complex data systems that support the Bank's operations and reporting needs, ensuring they meet all essential data requirements, following strong engineering and automation best practices and collaborating with the Technical Lead for Data Engineering to develop innovative solutions that address business needs. As a Senior Data Engineer this person will also play a key role in the development of less experienced members of the team day to day. To place the interests of customers at the centre of all activities, act in a way that is consistent with achieving good outcomes for consumers; and to comply with the FCA and PRA's Conduct Rules.Key Responsibilities: The development of data ingest, transformation, analytics, and data publishing pipelines, facilitating complex data transformations to meet business requirements, ensuring optimal performance and efficiency of the data platform.Support for the live platform day to day, resolving issues and meeting business requests as they arise within the team’s SLAs. The enablement and promotion of Data Engineering best practices and DevOps standards, ensuring good code quality and continuous compliance with all relevant standards.Providing mentorship to junior engineers, helping them enhance their skills and knowledge. Promoting a collaborative environment to deliver and integrate end to end data solutions. Identifying and addressing technical debt efficiently, continuously improving data processes and workflows for enhanced efficiency. Working collaboratively with business stakeholders and operational teams to resolve issues and minimise the defect backlog. Supporting estimation processes to aid in planning and portfolio management. Keeping abreast of industry technical best practices and new trends, ensuring innovative development of systems to meet organisational immediate and future needs. Risk:Responsible for managing risks inherent to the role by diligently observing internal policies and procedures.Key Interfaces:Technical Lead for Data Engineering Business System Owner Head of Data Engineering Application Specialists and Application SupportInformation Security Manager Data Privacy Manager Infrastructure EngineersPerson SpecificationKnowledge/Experience/Skills:Strong communicator with both technical and non-technical communities Experience of mentoring less-experienced developers Significant hands-on experience with the Azure Data Stack, critically ADF and Synapse (experience with Microsoft Fabric is a plus) Highly developed python and data pipeline development knowledge, must include substantial PySpark experience Demonstrable DevOps and DataOps experience with an understanding of best practices for engineering, test and ongoing service delivery An understanding of Infrastructure as Code concepts (Demonstrable Terraform experience a plus) Demonstrable experience of Data Pipeline testing, including automated testing, data validation and code assurance Demonstrable experience of working within Agile Delivery projects An understanding of data formats for ingest, transformation and analytics, data security, access control and authorisation, GDPR, data privacy, and information security Desirable:Financial services experience Awareness of data models in a Medalion ArchitectureExperience building Semantic, Metric or Analytic modelsExperience of building Machine Learning models Any experience in MLOps or operationalising Machine LearningKnowledge of Data Quality Frameworks in PythonQualifications:Industry focused degree or equivalent working experienceAzure certifications are desirableCompetencies:Developing OthersWorking Proactively Creativity and Innovation Problem Solving and Judgement Communication and ConfidenceAbout UsLife, Work and BenefitsAt Arbuthnot Latham, we seek proactive individuals who embrace high standards and bring the energy needed to drive success. In return, you can thrive in a dynamic environment that values your innovative ideas and provides the stability and support for your personal and professional growth. Our human-scale ethos means that everyone is recognised as an individual, not just a number, creating a workplace where you truly belong and thrive. As a service led, relationship driven bank, in-person collaboration and wellbeing are important to us and drives our inclusive culture. With this in mind we offer one day a week working from home.BenefitsCompetitive holiday allowance with the ability to buy / sell / rollover up to five days per yearPension via market leading providerPrivate Healthcare cover4x Life AssuranceDiscretionary BonusAccess to a suite of flexible benefits including Cycle to Work Scheme, Gym Scheme, Health Assessment, Season Ticket / Travel loans and Dental insurance as well as other discounts / vouchersData Privacy and Reasonable adjustmentsWe take keeping your data security seriously. For more detail on how we may keep your data please refer to our Privacy NoticeReasonable adjustments: Please let us know of any adjustments or arrangements that you may need to help you apply to this role or that will help you during the recruitment process. If you wish to discuss any particular requirements or concerns you have because of a disability or medical condition please contact us at recruitment@arbuthnot.co.uk. Information you provide about any disability or medical condition will remain confidential unless it is necessary to disclose it to other members of staff or outside agencies to ensure the health and safety of yourself and others, or to implement the adjustments you require. In these circumstances we will first discuss with you how and to whom the information may be disclosed.Location:LondonAdvertising End Date:Not Specified

I am seeking a Silicon Verification Engineer to play a key role in the development of next-generation semiconductor products designed to accelerate artificial intelligence and machine learning workloads. As part of a highly collaborative engineering team, you will contribute to the verification of complex digital systems while working closely with architecture, modelling, and RTL design teams. This role offers the opportunity to influence product quality from the earliest stages of development, contributing to specification reviews, architecture discussions, and the evolution of verification methodologies. The successful candidate will thrive in an environment focused on technical excellence, innovation, and rapid product development. Key responsibilities Develop and execute comprehensive verification plans based on product specifications and architectural requirements. Design, implement, and maintain verification environments and testbenches for complex digital hardware blocks used in AI and high-performance computing applications. Create stimulus generators, functional models, checkers, and verification infrastructure to ensure robust functional validation. Define, measure, and achieve functional and code coverage goals. Perform RTL debugging and waveform analysis to identify and resolve functional issues. Collaborate closely with architecture, modelling, and RTL design teams to ensure alignment on functional correctness and product requirements. Contribute to specification reviews and architecture discussions, helping shape the development of advanced AI-focused silicon products. Drive continuous improvements in verification methodologies, automation, and development workflows. Support the adoption of software engineering best practices within hardware development processes. Required skills and experience Strong experience in pre-silicon RTL verification. Proven ability to develop and execute verification strategies from specification through coverage closure. Experience developing verification environments, testbenches, stimulus, functional models, and checkers. Strong software development skills, with proficiency in Python preferred. Solid understanding of digital hardware design concepts. Ability to read, understand, and debug RTL written in SystemVerilog. Experience analysing simulation results and debugging using waveform viewers. Excellent problem-solving, communication, and collaboration skills. Desirable skills and experience Experience with Transaction-Level Modelling (TLM) methodologies, including UVM, SystemC, or equivalent frameworks. Knowledge of SystemVerilog Assertions Familiarity with open-source silicon development tools and workflows. Experience with verification frameworks such as Cocotb. Familiarity with simulation and verification tools Knowledge of formal verification methodologies. Experience working in integrated hardware/software development environments. Familiarity with modern build and automation systems. Exposure to AI accelerators, machine learning hardware, high-performance computer architectures, or data-centre infrastructure. This is a unique opportunity for you to apply a software-oriented mindset to solving hardware verification challenges and be excited by the opportunity to contribute to technology that enables the next generation of AI and machine learning systems. And will suit you if you are motivated by working in a high-impact role within a growing engineering organisation and be able to challenge conventional development approaches and seek opportunities for innovation. Why Join? This is an opportunity to work on cutting-edge silicon technology that will help shape the future of AI infrastructure. You will contribute to products at the intersection of semiconductors, software, and machine learning, while working alongside experienced engineers in a highly collaborative environment. The role offers significant technical ownership, exposure to advanced hardware architectures, and the chance to influence the development of products designed to push the boundaries of AI performance and efficiency. For more information, please contact Rachel Mason at IC Resources.

Company DescriptionWho we areWe are one of the largest international law firms in the world. With over 30 offices across the globe, we strive to exceed the expectations of our clients, providing them with the highest-quality advice and legal insight, which combines the firm’s global standards with in-depth local expertise.Our firm, work and people span jurisdictions, cultures, and languages. We offer our clients a truly international perspective. We believe every career should be rewarding and stimulating - full of opportunities to learn, thrive, and grow. That’s why we’re so proud of our inclusive, friendly, and team-based approach to work.Our one firm global strategy is focused on targeted growth led by the needs of our core clients, those who we can best support with the breadth and depth of Clifford Chance expertise, across the sectors and geographies, which matter most to them.You’ll find our clients in commercial and industrial sectors, the financial investor community, governments, regulators, trade bodies, and not-for-profit organisations. But no matter who they are or why they’ve reached out to us, we provide a world-class service every step of the way. And that’s possible thanks to the entrepreneurial spirit and conscientious approach to work that you’ll find across all of our teams.Whichever area of the business you join, you’ll become an integral part an innovative, diverse and ambitious team of people. Clifford Chance is a place where the brightest minds and the best of colleagues meet.Job DescriptionThe roleThe Legal Technology Advisor (LTA) is an ambitious, analytical delivery specialist, passionate about digital transformation—including the practical use of Artificial Intelligence—who operates at the intersection of law and technology across One Europe. Embedded within designated Global Business Units (GBUs) throughout the region, the LTA collaborates with deal teams and litigation teams to implement technology solutions in real time, configuring tools during active matters to ensure seamless delivery. Acting as the bridge between client needs and Clifford Chance’s technology capabilities, the LTA scopes, advises on, and deploys technology-enabled solutions that improve efficiency, reduce risk, and contribute to revenue growth across European jurisdictions. This role drives adoption of the firm’s legal technology toolkit, delivers at the pace of client needs, and channels market and front-line insights from across One Europe to Product Management and Legal Technology Advisory leadership, helping to shape the firm’s innovation pipeline.Key responsibilitiesDelivery and CollaborationAct as the first point of contact for matter teams within the assigned GBU seeking technology‑enabled solutions; assess requirements, define scope and recommend appropriate tools and approaches.Design and deliver technology‑assisted workflows for live matters (e.g., document/contract review and analysis, due diligence, document automation, transaction management, litigation/eDiscovery, collaboration and workflow tools), ensuring high‑quality, compliant execution.Configure, integrate and optimise existing solutions to meet matter requirements; document functional requirements and enhancement requests; work with Product Management, IT and vendors on pilots and deployments.Identify and support power users of key legal technology solutions to help scale delivery capabilities across the GBU.Maintain clear documentation for solution configurations, matter playbooks and client engagement materials; share lessons learnt through the Legal Technology Advisory Community of Practice.Client and Business EngagementBuild strong relationships with partners and associates, serve as a trusted advisor and deliver at the pace of the client’s needs.Prepare and deliver tailored client‑facing demonstrations, proofs of concept and proposals that evidence value, differentiation and time‑to‑value.Support pricing and scoping of technology components in pitches, proposals and panel submissions, working with partners and commercial teams.Coordinate with relevant business stakeholders to embed legal technology into delivery and client strategies.Strategic Insight and Market AwarenessMonitor legal market trends, competitive activity and emerging technologies; identify process improvement opportunities and report local emerging technology solutions so they can be considered in the firm’s innovation pipeline.Capture and share success stories, usage insights and client feedback to inform go‑to‑market materials and the product roadmap.Balance immediate client demands with opportunities for broader business transformation, articulating practical, scalable solutions and change impacts.Legal Technology AdvisoryDevelop a deep understanding of lawyers' and clients' needs within the assigned GBU, promoting the benefits of the firm's legal technology toolkit and advising on optimal usage scenarios.Design, develop and apply technology solutions on-the-fly to support and deliver live matter work.Drive metrics‑driven adoption of existing solutions, prioritising engagement by demand, impact and readiness; address challenges collaboratively with Product Management teams.Assist with the introduction, deployment and communication of new solutions, focusing on end‑to‑end legal service delivery processes.Deliver tailored presentations and demos of the firm’s legal technology toolkit, including advanced specialist solutions and AI tools.Ensure solutions and workflows comply with firm policies, client requirements, data privacy and information security standards; identify delivery risks early and propose mitigations.Committee and Group ParticipationActively participate in the Legal Technology Advisory Community of Practice.Key Performance Indicators (KPIs)Revenue generation directly attributable to the application of legal technology.Reduction in matter write-offs through improved efficiency and effective deployment of legal technology solutions.Success in winning client matters and panel appointments specifically due to demonstrated legal technology capabilities.Positive client feedback and satisfaction regarding technology-driven solutions and engagements.QualificationsYour experience Skills:Demonstrable experience advising on and delivering legal technology within a professional services context (preferably legal or consulting).Hands‑on expertise across tools such as contract analysis and review platforms, document automation, transaction management, litigation/eDiscovery, workflow and collaboration solutions; strong familiarity with Microsoft 365 and the Power Platform is advantageous.Knowledge of AI and data‑driven solutions (including Generative AI, NLP and machine learning) and their practical application to legal workflows.Strength in requirements gathering, solution scoping, process mapping and change management; able to translate complex needs into practical, scalable solutions.Experience with Agile delivery practices and collaboration tools (e.g., Agile Central, JIRA); comfortable working with Product Management, IT and vendors.Excellent communication and interpersonal skills; able to explain technical concepts in plain language and tailor style to partners, lawyers, clients and business stakeholders.High‑quality written communication skills, including preparation of internal communications, and client‑facing materials.Strong analytical skills with the ability to manipulate data quickly and accurately; confident using metrics to drive prioritisation and decisions.Commercial awareness and insight into how legal technology impacts client outcomes and law firm economics.Proactive problem‑solver with entrepreneurial drive; able to manage multiple engagements, prioritise effectively and see initiatives through to completion.Credibility and intellectual rigour, with strong listening skills and a commitment to continuous learning and innovation.Confident, positive approach; comfortable interacting with individuals at all levels of the organisation.Qualifications:Educated to degree level or equivalent experience.Fluent in English; additional European languages are an advantage.Client‑facing interaction or consulting experience is a plus.Additional InformationHybrid workingThis role follows our balanced hybrid working approach and as long as business needs allow, you will be supported to work in a hybrid way in line with the hybrid working policy.What we offer including our broad range of benefits and working environmentWhen you join Clifford Chance, you will have access to a broad range of benefits to support you across many aspects of your personal and professional life including financial, wellbeing, lifestyle, and family friendly benefits. For more information on what we offer specifically in the UK, please visit our What We Offer page on our career site. Equal opportunitiesAt Clifford Chance, we understand that our true asset is our people. Inclusion is good for our team and their families, our firm and society.We are committed to treating all employees and applicants fairly and equally regardless of their gender, gender identity and expression, marital or civil partnership status, race, colour, national or ethnic origin, social or economic background, disability, religious belief, sexual orientation, or age. This applies to recruitment and selection, terms and conditions of employment including pay, promotion, training, transfer and every other aspect of employment.We have a variety of flourishing employee networks. These networks are a place for colleagues to share experiences and advocate for change wherever they see an opportunity for improvement.Our goal is to deliver an equality of opportunity, an equality of aspiration and an equality of experience to everyone who works in our firm. Find out more about our inclusive culture here.#LI-HybridSummaryType: Full-timeFunction: Information TechnologyExperience level: Mid-Senior LevelIndustry: Legal Services

ð We’re on a mission to make money work for everyone.We’re waving goodbye to the complicated and confusing ways of traditional banking.After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts, accounts for 16-17 year olds, a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save, invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers!We’re not about selling products - we want to solve problems and change lives through Monzo ️ðLondon or Remote in the UK | ð 100,000-125,000(depending on experience) + Incentive Awards tied to your performance +Benefits | Product at Monzo | Hear from the teamOur Subscriptions teamWe are looking for a Senior Product Manager to work in our Subscriptions team. This team is responsible for all of our subscriptions products, including Extra, Perks and Max! The number of subscribers has grown substantially over the last few years, and we’re now looking to scale and accelerate through new vectors of growth, that role will be key to drive that!ðYou’ll play a key role by...Lead the charge: build a product vision and strategy for your area, ensuring alignment with Monzo’s goals and an exceptional customer experience. Communicate effectively: you get people inspired by the product vision and you share the right context with the right people at the right time.Collaborate seamlessly: partner with engineering, design, data, research, marketing and other teams across Monzo to create a strategy and deliver.Deliver impact: define, deliver and measure the impact of the customer-focused experiences you create.ð We’d love to hear from you if...You are an experienced product manager, and have led high-performing teams to ship world-class products at a fast growing company.You have a track record of leading consumer efforts that drive significant value for customers and the business. You're data-driven and commercial, and have a track record of collaborating with machine learning experts or data scientists to define key metrics, run experiments, and deliver business impact.You can systematically break down and solve complex problems.You have good judgement, and have a track record of making good decisions in complex situations where there’s often no “right answer”. You have the urge and resilience to challenge the status quo and make things better, and are full of creative ideas for how to do so.You can work effectively with a diverse range of people and working styles - spanning engineering, design, data, user research, marketing, legal and compliance - to get stuff done.You’re a great storyteller, who is able to motivate, energise and inspire people towards a common goal.You’re passionate about building value for customers and not just achieving business results, and are excited about our mission at Monzo.You’re intellectually honest about your work's performance, continually striving for improvement. You’re a fast learner, humble and curious, and enjoy learning every day and sharing your knowledge and experience.ð The application journeyOur interview process usually involves 4 main stages: Recruiter Call Initial Call with Hiring Manager Final Loop, consisting of x3 hour long interviews to assess Project Walkthrough, Case Study and Leadership.Our average process takes around 4-6 weeks but we will always work around your availability. ð What’s in it for youð 100,000-125,000 + Incentive Awards tied to your performance + Benefits ️ We can help you relocate to the UK We can sponsor visas.ðThis role can be based in our London office, but we're open to distributed working within the UK (with ad hoc - at least monthly - meetings in London). We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.ð Learning budget of 1,000 a year for books, training courses and conferences And much more, see our full list of benefits here#LI-CM1Equal opportunities for everyoneDiversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2026 Diversity and Inclusion Report and 2025 Gender Pay Gap Report.We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status.If you have a preferred name, please use it to apply. We don't need full or birth names at application stage ð

DescriptionAbout Us: Solirius Reply, part of the Reply Group, is a technology consultancy and digital transformation partner that helps organisations solve complex challenges through strategy, design, engineering, and delivery.We work closely with our clients to deliver secure, accessible, user-focused services that evolve with their needs. By combining deep technical expertise with people-centred design, we create solutions that deliver meaningful, lasting impact.Our consultants partner directly with client teams, embedding into organisations to understand their goals, challenges, and users. This collaborative approach enables us to deliver tailored solutions that drive measurable outcomes across public and private sectors.Past and present clients include the Ministry of Justice, Department for Education, Ministry of Housing, Communities and Local Government, UEFA, International Olympic Committee, and Mercedes-Benz. Our services span the full digital delivery lifecycle, including architecture, engineering, delivery management, user-centred design, business analysis, data, DevOps, and AI.We operate as a collaborative and inclusive organisation that empowers our people to take ownership, innovate, and develop their expertise. As an equal opportunities employer, we are committed to encouraging equality, diversity, and social mobility, while creating opportunities for our teams to work on meaningful projects that deliver lasting impact.About You:You are a motivated and adaptable professional with a strong analytical mindset and a passion for using technology to solve real-world problems. You enjoy working in collaborative, agile teams and take pride in delivering high-quality solutions that make a tangible impact. With strong communication skills and a consultative approach, you’re comfortable engaging with clients, understanding their needs, and translating them into effective outcomes. The Role:We are looking for an experienced Senior Data Engineer to join our team here at Solirius. You will be working as part of a team, developing and delivering exciting projects with a fantastic team of technology experts.You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability.RequirementsKey Responsibilities:Develop Data Engineering solutions for our clients/projectsDesign and build data models, schemas to support business requirementsDevelop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc.Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based.Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities.Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etcAssist with defining the processes needed to achieve operational excellenceEnsure data quality across all projects/clientsDefine and manage SLA’s for data sets and processes throughout productionLead on the design, build and launch of new data models and pipelinesKey Skills/Experience:Experience in operating as part of data engineering teams and independently.Line/Team management experience, leadership experienceExperience of working with cloud infrastructure (Azure or AWS, GCP is beneficial)SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL)You have framework experience within either Flask, Tornado or Django, DockerExperience working with ETL pipelines is desirable e.g. Luigi, Airflow or ArgoExperience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc.Data acquisition and development of data sets and improving data qualityPreparing data for predictive and prescriptive modellingHands on coding experience, such as PythonReporting tools (e.g. Tableau, PowerBI, Qlik)GDPR and Government Service Standard (desirable)Passionate, motivated and enthusiastic about developing technology solutions.Experience working in an Agile development environmentData architecture experience.BenefitsCompetitive SalaryBonus SchemePrivate Healthcare Insurance25 Days Annual Leave + Bank HolidaysUp to 10 days allocated for development training per yearEnhanced Parental LeavePaid Fertility Leave (5 Days)Statutory & Contributory PensionEAP with Help@HandGym Membership BenefitsCycle to Work and Electric Vehicle schemesFlexible WorkingAnnual Away Days/Company SocialsDiversity and InclusionAs an equal opportunities employer, we are committed to creating a work environment that supports, celebrates, encourages and respects all individuals, where all processes are based on merit, competence and business needs.Encouraging high social mobility is really important to us. We foster an inclusive culture by welcoming different perspectives, enabling equitable opportunities and promoting open dialogue. This commitment is reflected in initiatives such as our gender diversity group and our focus on mental health and wellbeing. Whatever stage you are at, you will find an environment where you can thrive.Should you require further assistance or require any reasonable adjustments to be put in place to better support your application process, please do not hesitate to raise this with us.As a Disability Confident employer, we are committed to ensuring our recruitment process is accessible and inclusive, enabling all candidates to demonstrate their skills, experience and potential.Job SummaryID: 774A199D3EDepartment: Software EngineeringType: full time

JOB ID: FEQ227R117Location: London, United KingdomIndustry:Professional Business Services (Consultancy, Legal, etc)At Databricks, our core values are at the heart of everything we do. A culture of proactiveness and a customer-centric mindset guides us in creating a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges. You'll work with a collaborative, customer-focused team who values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!Reporting to the Manager, Field Engineering.The impact you will have:Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.You will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.What we look for:We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Professional Business Team, which focuses on supporting and growing customers in the UK&I. This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team.Core Technical Qualifications:Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc.Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).Pre-Sales & Customer-Facing Skills:Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.Seniority & Leadership:Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills.Logistics:Ability to commute to the London office regularly.Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits.Nice to Have:Databricks or other relevant Cloud/Data certifications.About DatabricksDatabricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.Applicant Privacy Notice

Secure Every Identity, from AI to HumanIdentity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.Large Enterprise Sales Account ExecutiveThe successful Okta Account Executive is a highly motivated, self-driven, and experienced Account Executive who is passionate about security and helping customers protect themselves against the biggest identity threats.As an Okta AE, you will be focused on providing value to C-Suite decision makers on their ability to drive the most secure environment possible for their workforce. You will consistently drive territory growth through driving both net new logos and cultivating and growing existing Okta customers. You will continually drive territory growth through both net new logos as well as through cultivating relationships to develop and grow existing Okta customers. What You’ll Be Doing:Establish a vision and plan to guide your long-term approach to net new logo pipeline generation Consistently deliver revenue targets to support YoY territory growth Identify, develop and execute account strategies to generate pipeline, drive sales opportunities and deliver repeatable and predictable bookingsIdentify, target and gain access to appropriate leaders in prospect accounts, building and cultivating your network of decision makers Scope, negotiate and close agreements to consistently meet and exceed revenue quota targets Holistically embrace, access, and utilize Okta partners to identify and open opportunities Build and nurture effective working partnerships within your Okta ecosystem (xDRs, Partners, Presales, Customer First, etc) Adopt a strong value based sales approach, always looking to bring a compelling point of view to each customerTravel as necessary to build and cultivate customer and prospect relationshipsWhat you’ll bring to the role:Proven success in growing revenue for sophisticated, complex enterprise SaaS productsAbility to evangelize, educate and create demand with C-level decision makersAbility to navigate complex sales cycles with multiple stakeholders from both the customer base and within the internal ecosystem Proven success selling into C-suite and building partnership and buy-in with multiple stakeholdersSignificant experience selling in partnership with GSI’s & the wider partner ecosystemExcellent communication and presentation skills with audiences of all levels and all technical aptitudesConfident and self driven with the humility required to successfully work in teamsExpertise using a Sales Framework such as MEDDPICC, Challenger or Sandler (we use MEDDPICC)LI-LW1P10326_3449971#HybridBelow is the annual On Target Compensation (OTE) range for candidates located in the United Kingdom. Your actual OTE, which is inclusive of base salary and incentive compensation, will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable) and comprehensive healthcare coverage and financial benefits including paid time off and parental leave in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/gbr.The OTE range for this position for candidates located in the United Kingdom is between:184,000—250,000 GBPThe Okta ExperienceSupporting Your Well-BeingDriving Social Impact Developing Talent and Fostering Connection + CommunityWe are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.

About LendableLendable 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 700 peopleAmong the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman SachsLoved 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 toTake 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 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe’re looking for a strategic, data-driven Commercial Partnerships Associate to join the Growth team at Lendable. Working on some exciting new products within Zable you’ll play a central role in go to market of these products on price comparison websites, building the partner relationships that drive customer acquisition, and delivering analytics to guide product development.You don't need a background in partnerships or financial services, we care far more about how you think, how numerical you are, and whether you're genuinely curious about problems. You'll combine data analysis with external relationship management, take real ownership from early on, and work closely with Product, Data and Credit teams to deliver results in a fast-moving launch environment. You’ll be embedded within the growth team and will work closely with different teams at Lendable while being trusted to drive growth initiatives and handle your own projects independently.Team objectivesWe are responsible for the growth of all Lendable and Zable products, delivering projects via our price comparison site partnerships or directly into the market.The team asks ‘where are new customers?’, ‘what can I improve with my current channels’ conversion?’, ‘what are competitors doing on marketplaces?’, ‘Am I risking negative selection?’, ‘what is the next product or innovation to develop?’, and ‘Are my unit economics working?’.What you’ll be working onYou will own the launch of Zable car insurance and mobile on price comparison websites - from initial partner conversations through to integration, go live and on-going optimisationOnce live, take responsibility for channel performance: tracking volume, conversion and cost of acquisition at the partner level, identifying what’s driving changes and what to do about themYou will manage partner relationships across strategic and day-to-day activity, balancing focus on large strategic partners with incubating new exciting ideas and holding partners accountable to delivery milestones.Prepare analysis to support commercial decisions: pulling the right data, forming a clear point of view, and presenting it in a way to keep moving forwardYou will be trusted to negotiate customer acquisition costs and commissions with key partners, identifying areas for cost optimisations.Work cross functionally with Product, Pricing, Data and Compliance to scope integrations, complete due diligence on new partners and drive projects forwardKeep track of what’s happening in mobile and insurance partner markets - new entrants, product changes, competitor moves - and bring those insights to internal discussionsThe role progression includes gradually owning the full responsibility for strategy and execution of specific partner projects, marketing efforts or product enhancements that deliver business growth.Your experience2-3+ years’ experience in a commercial, consultancy, partnerships, analytical, business development, or account management role; ideally within financial services or a high-growth tech environment.Highly numerate and analytical, proficient in manipulating and visualising data in AI-assisted SQL / Python, and using commercial modelling to inform decisions.Strong communicator able to represent Lendable externally and build trusted relationships internally and externally.Demonstrably uses AI tools to work better, whether that's automating repetitive tasks, speeding up analysis, improving written output, or finding faster routes to answers. We don't care which tools; we care that you've genuinely changed how you work because of them, not just experimented once or twice.Outcome-driven and proactive: skilled at prioritising, independently driving projects, and managing work to deliver high-value results.Comfortable contributing to a collaborative team, while thriving in a role where your individual performance and impact are directly visible.What does success look like 6 months after joining?You’ve launched Zable non credit products on price comparison websites, and are starting to generate volumeFormed strong working relationships with all of our key partners, placing Zable as the partner of choice for all analytics or innovation collaborations.You are assessing new partnership opportunities on a regular basis, have a clear view on the partner pipeline and are acting on ones that deliver tangible value to the business.Ownership of the customer acquisition funnel at the individual partner level; identifying changes in funnel dynamics and attributing them at pace, sharing insights with Risk, Pricing and Product teams to inform wider acquisition strategyFirst line ownership of due diligence checks and ongoing compliance monitoring of Lendable partners through dedicated diligence exercises and mystery shopping.Interview process30-min introductory call with Talent team15min cognitive test 60min in-person case study exercise with Head of PartnershipsFinal round (in-person or virtual):Head of PartnershipsCommercial MD and Insurance or Mobile MDsLife at LendableWinning team: the opportunity to scale up one of the world’s most successful fintech companiesFlexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.Check out our blog!LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentGrowth & Analytics

About the RoleLocation: Paddington or Newbury (Hybrid)Digital & IT is a strategic business capability enabling Vodafone to deliver innovative digital products, services, and customer experiences at scale. Achieving this requires an end-to-end, data-led approach across customer journeys, IT systems, and network domains.The Digital & IT Data Science & Engineering Lead is a critical senior leadership role responsible for establishing data as a strategic product and trusted asset, supporting Vodafone's digital transformation ambitions while ensuring regulatory compliance, operational excellence, and customer confidence. The role is accountable for defining, governing, and delivering end-to-end data, analytics, architecture, and AI capabilities across Digital & IT.Operating at enterprise scale, the role spans commercial data, digital channels, BSS/IT platforms, and network domains, ensuring data supports product strategy, customer experience, operational performance, and regulatory requirements.Working in close partnership with Product, Technology, and Business leaders, the role will define the Digital & IT data strategy, establish robust data governance frameworks, and embed data-driven decision-making across products, platforms, and services.What you'll doDefine and own the Digital & IT data strategy in partnership with Product leadership, ensuring alignment with product, technology (IT and Networks), and commercial objectives.Establish data, analytics, and AI as core enablers of business growth, customer experience excellence, and operational effectiveness.Define and maintain a clear, prioritised roadmap covering data platforms, analytics, and AI capabilities.Own the end-to-end enterprise data architecture across digital channels, BSS/IT systems, and network domains, in close collaboration with architecture teams.Ensure seamless data integration across customer journeys, IT platforms, and network telemetry to enable insight, automation, and predictive capabilities at scale.Set and govern enterprise standards for data platforms, pipelines, analytics engineering, and AI solutions.Lead the delivery of advanced analytics and AI capabilities from ideation through to production deployment.Ensure all data products, models, and insights are production-grade, governed, monitored, and measured for business value.Drive high-value data and AI use cases across customer experience, product performance, monetisation, network optimisation, and operational efficiency.Ensure data capabilities support the needs of global customers operating across multiple markets and regulatory environments.Apply data sovereignty principles, including data residency, access controls, and processing constraints by design.Ensure compliance with GDPR and applicable regional data regulations across products, platforms, and services.Act as a senior data representative with customers, partners, regulators, and auditors where required.Hold end-to-end accountability for the organisation's data governance framework, including policies, standards, controls, and decision forums.Embed data governance as a living operational practice across Digital & IT and wider business functions.Define and enforce clear data ownership, stewardship, and accountability models.Ensure consistent application of data quality, lineage, access control, ethics, and lifecycle management standards.Define the operating model for Data Science and Data Engineering, including internal teams, strategic partners, and vendors.Influence and align cross-functional teams across Product, Technology, Networks, Operations, and Commercial functions.Build and sustain a culture of accountability, innovation, quality, and continuous improvement.What are we looking forSenior leadership experience (5+ years) across Data Architecture, Data Science, Analytics, and Data Engineering within large-scale enterprise environments.Deep industry experience (15+ years) spanning Analytics, Digital & IT, Cloud Technologies, and Network/Infrastructure data domains, with a strong understanding of how these areas interconnect.Proven delivery of end-to-end data capabilities, covering customer, commercial, IT, and network-related domains from strategy through execution.Experience designing and scaling modern cloud-based data platforms, including technologies such as GCP, BigQuery, Dataflow, Dataproc, Azure, AWS, or equivalent solutions.Strong understanding of modern data architectures, including data lakes, lakehouse architectures, streaming platforms, real-time processing, and event-driven ecosystems.Experience establishing data as a strategic product, enabling business growth, customer value, operational performance, and commercial outcomes.Strong track record in defining and embedding enterprise data governance, successfully operating across multiple functions and organisational boundaries.Expert knowledge of data sovereignty, GDPR, privacy, and regulatory frameworks, with the ability to translate requirements into practical operating models.Experience leading high-performing Data Science, Analytics, and Data Engineering teams, delivering measurable business impact.Knowledge of AI, Machine Learning, and Advanced Analytics delivery, including governance, operationalisation, and value measurement.Strong stakeholder management and executive communication skills, with the ability to influence senior leaders, customers, and external partners.Experience operating within complex global organisations, managing multiple stakeholders, priorities, and regulatory requirementVOIS Equal Opportunity Employer CommitmentVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.

About LendableLendable 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 700 peopleAmong the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman SachsLoved 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 toTake 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 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleWe’re looking for a Product Manager to help shape and grow the UK Cards product.This is not a traditional PM role focused on roadmap management, stakeholder coordination or writing tickets. We are looking for someone who thinks like an owner and operates like a builder.You should be someone who naturally questions how things work, challenges assumptions and looks for practical ways to improve the product.You will work closely with engineering, operations, data, finance and commercial teams to identify problems, validate opportunities and drive execution across the Cards business. The role combines product thinking, experimentation, problem solving and AI tooling.If you are excited by fintech, lending and building products in a fast moving environment, this role offers significant ownership and impact.What you'll be doingThis role will cover a broad range of work across the UK Cards product.Driving product and growth initiativesYou will identify opportunities to improve customer experience, engagement, conversion and business performance.Examples include:Designing and running experiments across acquisition, onboarding, engagement and retentionImproving customer journeys, product features and servicing experiencesUsing data and customer insights to prioritise product opportunitiesDefining MVPs and validating ideas before committing engineering resourcesWorking closely with engineering teams to deliver high impact improvementsBuilding operational leverage and AI-enabled workflowsWe want someone who actively looks for smarter and more scalable ways to work.Examples include:Improving internal tooling and operational workflowsDriving adoption of AI tools across the team Supporting development of AI-powered customer support and servicingAutomating manual operational processes where possibleHelping teams make faster and better decisions through better workflowsOwning cross functional problem solvingThe role requires operating across product, operations, finance, capital markets and customer servicing.Examples include:Identifying operational bottlenecks and driving improvementsCoordinating complex initiatives across multiple teamsTranslating ambiguous business problems into impactful plansBalancing customer outcomes with commercial and operational constraintsA core part of the role is continuously challenging how things are done today and helping the organisation operate in simpler, faster and more effective ways.Who this role is forThis role is designed for someone who wants significant ownership and enjoys solving hard problems in fast moving environments.Typical profile4+ years of experience in product, strategy, consulting, analytics or startup environmentsExperience owning products or growth initiativesStrong interest in fintech, lending and technologyComfortable working across both strategy and executionCurious about AI and how new tools can improve product developmentInterested in building and scaling products with real business impactYou should be someone whoThinks from first principles rather than accepting how things currently workChallenges assumptions and asks high quality questionsEnjoys solving ambiguous and messy problemsUses data confidently to make decisionsMoves quickly and tests ideas pragmaticallyIs highly ownership and execution focusedCan operate independently with broad directionCommunicates clearly across technical and non technical teamsIs comfortable switching between product, operational and commercial contextsWhy this role is interestingYou will get exposure to:How consumer lending and credit cards work in practiceBuilding and scaling one of the UK’s most successful fintech productsProduct-led growth and experimentationAI tooling and automation inside a real product organisationThe operational and commercial side of running a fintech businessCross functional decision making across product, finance, operations and riskYou will work closely with senior members of the Cards team and have the opportunity to own meaningful, business critical initiatives with significant autonomy.Life at LendableWinning team: the opportunity to scale up one of the world’s most successful fintech companiesFlexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.Check out our blog!LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineering & Product

About LendableLendable 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 700 peopleAmong the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman SachsLoved 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 toTake 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 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingAbout the roleAs we continue to build upon the diversity of our team we are thrilled to have the opportunity to bring on board a Senior Kotlin/JVM Engineer. This is an opportunity to bring new experience, perspective and capabilities to our design discussions, helping shape our approach to delivering elegant solutions to complex engineering challenges as we continue to grow. Our current tech team have already built next-generation lending, credit card and auto-finance products alongside our Superapp. There is more to build as we scale. We're looking for an engineer with a depth of knowledge and recent hands-on Kotlin experience or JVM based engineering experience that enables them to not only deliver elegant, idiomatic solutions in Kotlin or Java but also to contribute new knowledge and experience to our frequent collaborative design forums with stakeholders from every area of the business.There’s a lot to do; building and integrating new API’s, tuning our existing services as they scale, supporting our expansion of new products and supporting services in the US.We believe that software engineering is more than just code - it’s about people. We believe that the best teams are made of great people. That fundamentally great software engineering is about alignment, sharing what we know and being nice to each other. When we put all this together we make software engineering better by continually improving our capabilities as a team and making our working environment a happy and productive place.There is more to read about us and our Lendies in the engineering blog right here and if you’d like to check our reviews out on Glassdoor you can see these here.Our Tech StackBackendKotlin 1.7.20AWSGraphQL (it would be nice if you were familiar with this but it’s not a deal breaker)PostgresRabbitMQDockerKubernetesFrontendReact & React Native, TypeScript, MobX, Redux, Stylus and SASSOtherWe build our Kotlin projects using Gradle and GitHub Actions, deploying to production as soon as we finish a featureWe use JUnit Jupiter, Kotest and TestContainers for automated testingWhat we’re looking for technicallyStrong commercial Kotlin or JVM based engineering experience (willingness to work with Kotlin)An ability to write simple, clean codeExperience and understanding of databases; relational databases are a must, NoSql would be nice tooBe able to quickly understand complex, financial business domainsUnderstand different software architectures rapidlyUnderstands abstraction and interpolationAble to write comprehensive, automated tests at all levels of the pyramidUnderstanding of the Kanban agile methodology; not a deal breaker if you don’tWhat kind of person you’ll need to beSomeone who can get along with others and build relationshipsSomeone who wants to continually learn, improve and collaborateSomeone who can solve problems on their own but also knows when to go to their peers for helpSomeone who is a rational thinker and is aware of the ‘why’ behind the way they do thingsSomeone who is a pragmatist who can sensibly weigh the tradeoffs between code quality and deliveryLife at LendableWinning team: the opportunity to scale up one of the world’s most successful fintech companiesFlexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.Check out our blog!LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentEngineering & Product

Senior AI Platform EngineerThe Senior AI Platform Engineer is responsible for defining and delivering the infrastructure strategy underpinning IQVIA's Large Language Model (LLM) programmes. This role provides technical leadership across compute, data, model lifecycle management, evaluation frameworks, and platform engineering, ensuring research innovations can be successfully transformed into secure, scalable, and production-ready AI solutions.Acting as a key technical leader and cross-functional integrator, the Senior AI Platform Engineer partners with research, product, infrastructure, data engineering, and MLOps teams to design and operate the platforms required to train, evaluate, deploy, and govern large-scale AI systems across IQVIA products and healthcare use cases.Key ResponsibilitiesOwn the AI platform and infrastructure roadmap, leading the planning and execution of LLM initiatives and translating research requirements into scalable engineering solutions.Partner with centralised infrastructure teams to design and deliver high-performance compute environments across AWS and on-premises platforms, including GPU infrastructure, Slurm clusters, and migration from ad hoc research workflows.Optimise LLM training and inference workloads, supporting research and product teams in maximising performance, scalability, and reliability across the infrastructure stack.Establish and maintain model and data lifecycle capabilities, including dataset versioning, lineage tracking, reproducibility standards, and integration with model registries.Lead the evolution of knowledge graph infrastructure, driving technology selection, migration strategies, performance optimisation, and integration with AI workflows.Serve as the primary technical coordination point across AI Research, Data Engineering, MLOps, Product, and Infrastructure teams, resolving dependencies and prioritising activities critical to delivery.Provide technical leadership for vendor selection, procurement, and technology partnerships, advising on compute architectures, GPU specifications, AI platforms, and integration approaches.Define platform engineering standards, governance, and best practices while mentoring engineers and promoting operational excellence across AI and platform teams.Skills & ExperienceSignificant experience designing, building, and operating large-scale AI, machine learning, or distributed computing platforms in enterprise environments.Deep understanding of LLM architectures and their interaction with GPU infrastructure, including CUDA, cuDNN, NCCL, kernel-level acceleration libraries, and distributed training frameworks such as PyTorch.Strong knowledge of distributed training and inference strategies, including tensor, pipeline, data, and expert parallelism approaches.Experience optimising LLM inference workloads using technologies such as vLLM, TensorRT-LLM, NVIDIA NIM, SGLang, or similar high-performance serving frameworks.Expertise in model optimisation techniques including quantisation, mixed precision training and inference (FP8, GPTQ, AWQ, LoRA), and performance tuning for large-scale model deployment.Advanced experience profiling, troubleshooting, and optimising GPU workloads using tools such as NVIDIA Nsight, DCGM, and related ecosystem technologies.Strong background in AWS cloud services, high-performance computing, distributed systems, containerised environments, and infrastructure automation.Experience with workload orchestration technologies such as Slurm, Kubernetes, Ray, or equivalent distributed compute frameworks.Demonstrated success bridging research and production environments, enabling rapid experimentation while maintaining operational excellence, governance, security, and reliability.Proven ability to lead complex cross-functional initiatives, influence technical direction, and communicate effectively with engineering, research, product, and executive stakeholders.Why Join?Those who join us become part of a recognized global leader still willing to challenge the status quo to improve patient care. You will have access to the most cutting-edge technology, the largest data sets, the best analytics tools and, in our opinion, some of the finest minds in the Healthcare industry.You can drive your career at IQVIA and choose the path that best defines your development and success. With exposure across diverse geographies, capabilities, and vast therapeutic and information and technology areas, you can seek opportunities to change and grow without boundaries.Regardless of your role, we invite you to reimagine healthcare with us. You will have the opportunity to play an important part in helping our clients drive healthcare forward and ultimately improve human health outcomes.It's an exciting time to join and reimagine what's possible in healthcare.IQVIA is a strong advocate of diversity and inclusion in the workplace. We believe that a work environment that embraces diversity will give us a competitive advantage in the global marketplace and enhance our success. We believe that an inclusive and respectful workplace culture fosters a sense of belonging among our employees, builds a stronger team, and allows individual employees the opportunity to maximize their personal potential.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.SummaryLocation: London, United KingdomType: Full time

London areaStrategy & Product – Product Performance & Lifecycle Intelligence /Full-time /HybridContentsquare is the all-in-one experience intelligence platform designed to be easily used by anyone who cares about digital journeys. With our flexible and scalable platform, organizations quickly get a deep understanding of their customers’ whole online journey.We are a global leader in the experience analytics space, with a growing presence across 15 offices worldwide. We’re here to stay—and we’re looking for team members who are excited to drive impact and help us scale even further.Our aim is to create an inclusive workplace where everyone learns and succeeds. Contentsquare has built a community of individuals who are daring, understanding, and deliberate. We invite you to join us in making the complex simpler—for our customers, their customers, and each other.Important note: Be careful of scammers pretending to be from Contentsquare. We will never ask for money or contact you through random texts. Any communication from our in house Talent Acquisition team will only ever come from our contentsquare.com or @contentsquare-ext.com domain. For more information, visit our careers blog.The RoleWe're looking for a Senior Product Manager to help customers understand how different groups of users behave over time: who converts, who comes back, who becomes more engaged, and who may be starting to drop away.You will lead the product strategy for user segmentation and lifecycle analytics. The work sits between product analytics and marketing technology. You will help customers define meaningful audiences, compare their behavior, understand what drives conversion and retention, and use those insights within Contentsquare and third party tools and platforms.You will work closely with Engineering and Product Design, along with data, identity, AI, and other product teams. Some of the experiences you lead will depend on shared data and analytics services, so the role requires both clear product judgment and the ability to work collaboratively across different domains.The immediate priorities are:Segmentation and filtering: Make it easier for customers to define, save, compare, and reuse audiences across their analyses.User and retention analysis: Help customers move from aggregate trends to cohorts and individual users, compare behavior over time, and identify what contributes to conversion, engagement, and retention.Future lifecycle intelligence: Explore opportunities such as lifecycle stages, engagement scoring, automatic segment suggestions, and predictions related to conversion, retention, or churn.What You'll DoSet Product DirectionDefine the product strategy, roadmap, and success measures for user segmentation and lifecycle analytics.Decide which customer problems to prioritize, balancing customer value, product quality, technical constraints, and business goals.Make clear trade-offs about what the team will and will not build.Communicate product choices to executives, partner teams, and customer-facing teams.Understand Customers and the MarketWork directly with customers to understand how product, marketing, ecommerce, and customer experience teams analyze user behavior.Use customer research, product data, field feedback, and market evidence to guide priorities.Follow developments in product analytics, customer data, and marketing technology, including how other products approach segmentation, cohorts, retention, and activation.Partner with Design and Engineering to test ideas before making larger investments.Build Better Segmentation and Lifecycle AnalysisImprove how customers define, manage, compare, and reuse user segments.Make filtering easier to understand and more consistent across relevant product workflows.Help customers move from a chart, funnel, or retention cohort to the users behind the result without rebuilding the same audience in several places.Develop user-level and retention analysis that helps customers identify changes in behavior and the experiences associated with stronger or weaker outcomes.Explore Predictive IntelligenceInvestigate opportunities such as lifecycle classification, engagement scoring, automatic segmentation, and predictions related to conversion, retention, or churn.Partner with Data and Applied AI teams to evaluate data readiness, feasibility, accuracy, explainability, cost, and customer trust.Validate that customers can understand and act on predictive insights before adding them to the roadmap.Lead Across TeamsWork with Engineering and Product Design from problem definition through launch and iteration.Partner with data, platform, identity, and other product teams when shared capabilities are needed.Define product KPIs and track adoption, usefulness, quality, performance, and customer value.Build strong relationships with Customer Success, Sales, Product Marketing, and other go-to-market teams.Use product performance and customer feedback to adjust priorities after launch.What You'll Need to Succeed5+ years of product management experience in B2B software or another complex data product, with responsibility for strategy, roadmap, and measurable outcomes.Experience in product analytics, customer data, audience platforms, marketing technology, lifecycle and retention products, experimentation, or a closely related area.A practical understanding of segmentation, funnels, cohorts, conversion, engagement, and retention analysis.Strong customer discovery skills and experience using qualitative feedback and product data together to make decisions.Experience working with Engineering and Product Design on products that rely on shared data, APIs, identity, or analytics services.Enough technical depth to discuss data quality, semantics, performance, and architectural trade-offs with engineers.Strong communication and prioritization skills, including the ability to lead across distributed teams without direct authority.What Makes You Stand OutExperience spanning both product analytics and marketing technology.Work on audience builders, customer data platforms, personalization, lifecycle marketing, or marketing automation products.Experience building retention, cohort, or user-level analytics.Familiarity with event-based data, user identity, cross-device behavior, or high-volume analytical queries.Experience developing predictive, recommendation, or machine-learning-assisted product experiences.Why you should join ContentsquareWe invest in our people through career development, mentorship, social events, philanthropic activities, and competitive benefits. We are always assessing the perks we offer to ensure we’re aligned with the employees' needs.Here are a few we want to highlight:- Virtual onboarding, Hackathon, and various opportunities to interact with your team and global colleagues both on and offsite each year- Work flexibility: hybrid and remote work policies- Generous paid time-off policy (every location is different)- Lifestyle allowance- A Culture Crew in every country we’re based in to coordinate regular activities for employees to get to know each other and bond outside of work- Every full-time employee receives stock options, allowing them to share in the company’s success- We have multiple Employee Resource Groups, that offer a safe space for individuals who share common identities, life experiences, or allyship to connect, support one another, and passionately advocate for the issues close to their hearts- And more benefits tailored to each countryContentsquare is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to sex, gender identity or expression, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.Your personal data is used by Contentsquare for recruitment purposes only. Read our Job Candidate Privacy Notice to find out more about data protection at Contentsquare and your rights. You can exercise your rights by using our dedicated Data Subject Rights Portal here. Your personal data will be securely stored in our hosting provider’s data center in Oregon (US west). We have implemented appropriate transfer mechanisms under applicable data protection laws.Contentsquare may use AI-assisted tools to help review and screen applications. All decisions involving hiring are made by human reviewers, and your personal data will be processed in accordance with our Candidate Privacy Policy.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About AnthropicAnthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the RoleAnthropic is seeking an exceptional Commercial Counsel to join our founding Commercial Legal team in EMEA. You'll serve as a strategic legal partner to our sales teams, supporting complex deal negotiations and commercial activities that fuel our expansion with leading EMEA companies and organizations across all market segments, from SMB to large enterprises. In this highly impactful role, you'll guide sophisticated technology transactions across diverse industries and client sizes while providing strategic counsel on the unique legal and regulatory considerations for responsible AI deployment throughout the EMEA region.Key ResponsibilitiesDraft, review, and negotiate commercial agreements, with a primary focus on GTM/Sales transactions in EMEA, including enterprise customer contractsPartner closely with Sales and Go-to-Market teams to support deal velocity and provide practical legal guidanceHelp build and maintain our commercial legal infrastructure, including contract templates, playbooks, and process improvementsIdentify and escalate legal risks appropriately while supporting business momentumStay current on legal developments affecting AI technologiesFoster relationships with external stakeholders, including clients of all sizes, regulatory bodies, and industry partners across the EMEA regionMinimum QualificationsLaw degree and qualification to practice law in a relevant EMEA jurisdictionExperience drafting, reviewing, and negotiating commercial agreements, such as enterprise customer contracts or SaaS agreementsStrong legal writing skills, with the ability to translate legal concepts for non-lawyer audiencesPreferred QualificationsExposure to commercial contracts, SaaS agreements, or technology transactionsIn-house experience at leading technology companies with EMEA operationsExperience with AI, machine learning, or other experimental technologies in commercial contextsExperience supporting sales teams across diverse client segments in deal negotiationsExperience navigating multi-stakeholder agreements involving technical and policy considerationsCuriosity about AI technology and AI policy, and a commitment to responsible AI developmentA collaborative, low-ego approach and a willingness to roll up your sleeves and pitch in where neededComfort working in fast-paced environments with shifting priorities4+ years of legal experienceRole-specific policy: For this role, we expect all staff to be able to work from our London office at least 3 days a week, though we encourage you to apply even if you might need some flexibility for an interim period of time.The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.Annual Salary:125,000—165,000 GBPLogisticsMinimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experienceRequired field of study: A field relevant to the role as demonstrated through coursework, training, or professional experienceMinimum years of experience: Years of experience required will correlate with the internal job level requirements for the positionLocation-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.How we're differentWe believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.Come work with us!Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Job Purpose As Senior Architect AI, you will be accountable for designing and overseeing the end-to-end AI platform architecture that powers Liberty Global's telecommunications services across our 85 million subscriber base. You'll bridge technical excellence with business value, ensuring AI solutions integrate seamlessly with our telecommunications infrastructure while meeting operational, budget, and performance requirements. This role requires deep technical expertise combined with strong communication skills to work effectively with both engineering teams and business stakeholders, translating complex technical concepts into actionable recommendations that drive business outcomes. Key Responsibilities End-to-End AI Architecture Design & Ownership Design and maintain comprehensive AI platform architecture spanning data pipelines, model development, infrastructure, deployment frameworks, and integration with both on Prem and cloud platforms and applications. Own the technical vision for AI platform evolution, ensuring architecture supports current and future business requirements, context & process across customer experience, AI innovation, and operational efficiency use cases Define architectural standards, design patterns, and technology selection criteria that enable scalable, reliable AI implementations across multiple European markets & ventures Ensure architectural decisions consider operational requirements, budget constraints, and business priorities while maintaining technical excellence Platform Integration & Technical Accountability Take accountability for AI platform integration with Liberty Global's core telecommunications infrastructure & ventures, ensuring seamless data flow and system reliability Design integration patterns and API strategies that connect AI services with existing platforms while maintaining security, performance, and data quality standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise and architectural guidance to engineering teams, data scientists, and product managers throughout the AI solution development lifecycle Work closely with business stakeholders to understand requirements, translate them into technical architectures, and communicate trade-offs, timelines, and resource needs clearly Review and approve technical designs, ensuring alignment with architectural standards and best practices while addressing scalability, security, and maintainability concerns Collaborate with operations teams on deployment strategies, capacity planning, and cost optimization for AI infrastructure and cloud resources Support comprehensive technical due diligence for potential acquisitions, investments, or partnerships Operational Excellence & Budget Considerations Contribute to budget planning and cost optimization discussions, providing recommendations on infrastructure investments, cloud resource allocation, and technology choices Design architectures that optimize operational efficiency through automation, resource utilization, and smart platform design while meeting performance requirements Support capacity planning and infrastructure scaling decisions based on usage patterns, performance metrics, and business growth projections Participate in vendor evaluations and technology assessments, providing technical recommendations that balance capability, cost, and operational impact Define, refine & optimise processes, frameworks & context to ensure right business outcomes Set Lifecycle management expectations and govern End of Existence models and components Define and validate business cases by establishing clear metrics, measurable outcomes, and ROI, ensuring solutions deliver tangible customer value and product impact Knowledge and Experience Essential: 8-10 years of experience in software architecture or technical lead roles with 4-5 years focused on AI/ML platforms and data-intensive systems Proven experience designing end-to-end architectures or processes for AI/ML systems in production environments supporting large user bases Understanding of IT platforms i,e cloud platforms (AWS, Azure, GCP), containerization (Kubernetes, Docker), and MLOps frameworks and practices Understanding of the use of Waterfall vs Agile practices including use of Kanban, SAFE, etc Deep understanding of telecommunications systems and integration patterns with OSS/BSS, customer platforms, and network management systems Demonstrated ability to work effectively with both technical teams and business stakeholders, translating between technical and business language Proficiency in AI/ML technologies including model training platforms, deployment frameworks, data pipelines, and monitoring tools Experience with distributed systems design, API architecture, and microservices patterns for building scalable platforms Strong knowledge of database technologies, data warehousing, streaming platforms (Kafka, Pulsar), and big data processing frameworks Excellent communication and presentation skills for explaining complex technical concepts to non-technical audiences and business stakeholders including use of deep data analysis Understanding of budget planning, cost modelling, and operational considerations for large-scale technology platforms & businesses Ability to source, process, and analyse complex datasets to generate actionable insights that inform business and product decisions Desirable: Hands-on coding and prototyping experience in AI/ML development (Python, TensorFlow, PyTorch) Experience with proof-of-concept development and technical validation of new AI technologies Background in data science or machine learning engineering with an understanding of model development workflows Practical experience with infrastructure-as-code and DevOps practices for AI platforms Knowledge of data management M&A due diligence Preferred education/qualifications: Experience in telecommunications, cable, or network infrastructure industries with understanding of subscriber analytics and operational systems Bachelor's or Master's degree in Computer Science, Engineering, Telecommunications, or related technical field Background in hands-on development with Python, Java, or similar languages (nice to have but not required for day-to-day work) Knowledge of AI ethics, responsible AI practices, and regulatory requirements relevant to European telecommunications markets or relevant knowledge gained from operations Experience with architectural frameworks and documentation practices for enterprise-scale systems SummaryLocation: London; ReadingType: Full time

About LendableLendable 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 700 peopleAmong the fastest-growing tech companies in the UKProfitable since 2017Backed by top investors including Balderton Capital and Goldman SachsLoved 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 toTake 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 1Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quoBuild the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy liftingWhat you'll doStrategic Financial Planning: Collaborating with senior management to develop and execute treasury strategies aligned with our business objectives. You will provide expert guidance on liquidity management, capital allocation, and risk mitigation to optimize our financial performance.Treasury Operations: Overseeing the operational aspects of treasury, including cash management, foreign exchange, and hedging activities. You will work closely with cross-functional teams to streamline processes, enhance efficiency, and leverage technology to automate treasury operations.Cash Flow Management: Overseeing the day-to-day cash flow operations, including forecasting, monitoring, and reporting. You will ensure that our liquidity needs are met efficiently, minimizing idle cash and maximizing investment opportunities.Treasury Portfolio Management: Work with Capital Markets to establish optimum investment strategy for Treasury assets. Source, evaluate and manage portfolio investments.Risk Management: Implementing robust risk management practices to safeguard our financial position. You will assess and mitigate financial risks, such as interest rate, liquidity, and credit risks, while ensuring compliance with regulatory requirements in both the UK and US markets.Stakeholder Management: Building and maintaining strong relationships with internal and external stakeholders, including regulators, auditors, and investors. You will effectively communicate our treasury strategies, financial performance, and risk management practices to ensure transparency and trust.Team Leadership: Leading and developing a lean high-performing treasury team, fostering a culture of collaboration, innovation, and continuous improvement. You will provide guidance, mentorship, and support to empower your team members to excel in their roles.What we’re looking forProven experience in treasury management, within the consumer lending space or a asset-backed treasury business.Strong knowledge of UK and US financial markets, regulations, and best practices.Proven track record in strategic financial planning, cash flow management, and risk mitigation.Excellent analytical and problem-solving skills, with the ability to make data-driven decisions.Expertise in treasury operations and systems implementation and management.Exceptional communication and interpersonal skills, with the ability to influence and build relationships at all levels.Strong leadership capabilities, with a passion for developing and motivating teams.Excited about the opportunity to work in an entrepreneurial environment and have a real impact on the businessProfessional qualifications such as ACT, CFA, or ACCA are desirable.Life at LendableWinning team: the opportunity to scale up one of the world’s most successful fintech companiesFlexible working: flexible approach tailored to each role. Hybrid roles require three days in-office weekly; fully remote roles include regular opportunities for in-person connection through socials and off-sitesSocials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office wallsHealth coverage: support for your physical and mental wellbeing, including private health coverRetirement & savings: long-term financial wellbeing through retirement savings plansEmployee referral programme: earn a competitive bonus when you refer successful new team membersOffice meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in-house chefs on in-office days at select locationsSustainable commuting: cycle-to-work and electric vehicle salary sacrifice schemes available in select locationsPlease note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.Check out our blog!LocationLondonEmployment TypeFull timeLocation TypeHybridDepartmentCentral